Figure 1
Event Attendance
The main takeaway from that growth is that a library’s marketing, outreach, and promotion should illustrate that the library cares and that it, with its partnerships, takes service seriously. This also exhibits the support and the resulting need for the outreach initiative. As illustrated, libraries, especially academic libraries, can and should play an integral role in helping LGBTQ+ students, faculty, and staff feels seen. Support should spread further than just an LGBTQ+ collection in the library. The Library Bill of Rights puts it best: “To that end, libraries and library workers should embrace equity, diversity, and inclusion in everything that they do.” With the spread of outreach and the audience growth, Robert-LaForge Library’s staff members have taken an active role in educating the community by instructing Safe Space sessions and utilizing grant funding. Safe Space training sessions have become a valid workshop on campus. Faculty, staff, and students are welcome to attend these semesterly sessions to learn more about pronouns and stereotypes to reduce the often unwelcoming, and biased, environment that LGBTQ+ people navigate daily. Ally connections are strengthened, and students will be aware that places of shelter are needed. A comment shared by a student after the fifth OkraOut expressed that it was truly appreciated.
This article concludes with the hope that the audience continues to give visibility, celebrate, educate, support marginalized communities, and identify ways to get engaged and advocate for queer people on campus and in their communities. The efforts can be small or large, but the action should remain. OkraOut was planned to be educational, festive, and entertaining while also bringing to the table essential questions about diversity and inclusion, thus showing support, and giving visibility to the queer people and allies on campus, and in the community. By spreading the idea that the library was an institution that guards and supports everyone’s right to access knowledge and culture and advocates for all patrons, OkraOut positioned the library as a safe space. This article exhibits small and large efforts, but the essential fact remains that the ideas were planted, watered with support, and that the outreach began to grow.
Despite some improving social circumstances for some LGBTQ+ people, much progress still needs to be made. This article, in particular, can be helpful to libraries, librarians, and universities in recognizing the required progress. Librarians may realize that they need more training on LGBTQ+ terminology, culture, and information resources. Library administrators may find this paper useful in identifying connections between librarian outreach goals and the larger vision of library services.
Beyond the library, university and student affairs administrators may find this paper interesting as it emphasizes the role of collaboration. It also provides a valuable example of how the library can partner in broader university outreach initiatives and that wide-reaching impact can be felt with any outreach efforts. Ultimately, research will be needed to illustrate in more detail how well librarians address LGBTQ+ needs within their universities and communities and the role of academic libraries in those outreach initiatives.
We wish to acknowledge and thank those who helped grow OkraOut. This was a collaborative effort within the library, the institution, the community, and the state. The following is just a snapshot of organizations and people who made this outreach event possible:
Okra Out Planning Committee | DSU Library Services Administration | DSU Department of Music | DSU Department of Languages and Literature | DSU Diversity, Equity, and Inclusion Committee | DSU Pride Alliance | DSU Office of Student Affairs | Delta Music Institute | Campaign for Southern Equality | DSU Department of Art | DSU Division of Social Sciences and History | DSU Canterbury Ministry | DSU Office of Student Life | DSU Police Department | Human Rights Campaign of MS | Free Mom Hugs of MS | Sarah Isom Center for Women and Gender Studies | Center for Inclusion and Cross-Cultural Engagement at the University of Mississippi |
Dr. David Baylis | Dr. Jaime Harker | Danza Locke Reifers | Kayla Selby | Michelle E. Johansen | Brandy N. Collins | Jonathan Szot | Dr. Karen Fosheim | Robin Webb | Brittany K. Mann | Haley B. Scroggins | Holly E. Senter | Elizabeth C. Swindle | Charles T. Salazar | Rochelle Owsley | Maia Elgin-Wegmann | Maya M. McGinnis | Dr. William J. Ash-Houchen | Dr. Kelsey Evans-Amalu | Dr. Melanie R. Anderson | Sykina Butts | Mr. Bill LaForge and Mrs. Nancy LaForge | Jeff Slagell | Dr. Vernell Bennett-Fairs | Dr. Jamie Dahman | Denisha Cook | Dr. Jacqueline Goldman | Kara Goldman | Lynne Lambdin | Celeste ArgiFlex | Tiko Jones | Gunter McCourt | Aubrey Ombre | Zoey Adams | Iris Lefluer |
ACLU. (2021). Legislation Affecting LGBTQ Rights Across the Country 2021 . American Civil Liberties Union. Accessed in February 2022. https://www.aclu.org/legislation-affecting-lgbtq-rights-across-country-2021
American Library Association. (2006). Library Bill of Rights. Accessed November 2021. https://www.ala.org/advocacy/intfreedom/librarybill
American Library Association. (2009). Gay, Lesbian, Bisexual, and Transgendered Round Table . Access November 2021. https://www.ala.org/ala/glbtrt/welcomeglbtround.htm
American Library Association. (2017). Professional Ethics . Accessed November 2021. http://www.ala.org/tools/ethics
Anonymous, Community member. (2017, October). God sent you here for a reason . Facebook comment.
Anonymous, Community member A. (2019, October). “Y’all come out…” Facebook comment.
Anonymous, Community member B. (2019, October). “I couldn’t believe…” Facebook comment.
Anonymous, DSU Faculty. (2017, October). “Great job tonight…” Facebook comment.
Anonymous, DSU Faculty. (2018, October). “Love this…” Facebook comment.
Anonymous, DSU Student. (2017, October). “Thank you so much…” Facebook comment.
Anonymous, DSU Student (2018, October). “Love that they included…” Facebook comment.
Anonymous, Drag show attendee A. (2019, October). “This was our 3rd year…” Facebook comment.
Anonymous, Drag show attendee B. (2019, October). “We had so much fun…” Facebook comment.
Association of College & Research Libraries. (2016). Standards for Distance Learning Library Services . Accessed November 2021. https://www.ala.org/acrl/standards/standardsdistancelearning .
Association of College & Research Libraries. (2020). Pandemic Resources for Academic Libraries: Distance Education and Engagement. Accessed November 2021, https://acrl.libguides.com/pandemic/distance
Boyer, E. L. (1996). The Scholarship of Engagement. Bulletin of the American Academy of Arts and Sciences , 49(7), 18–33.
Bastone, Z. (2020). Creating an Outreach Plan that Accounts for the Seen and Unseen. Journal of Library Outreach & Engagement , 1 (1), 24–39.
Campaign for Southern Equality. (2021). Five Anti-LGBTQ Bills Passed in Tennessee You Should Know About . Accessed November 2021. https://southernequality.org/five-anti-lgbtq-bills-passed-in-tennessee-you-should-know-about/
Dentato, M.P., Craig, S.L., Messinger, L., Lloyd, M., and McInroy, L.B. (2013). Outness among LGBTQ Social Work Students in North America: The Contribution of Environmental Supports and Perceptions of Comfort. Social Justice , 10.
Delta State University. (2021). Mini Factbook 2020–2021 . Accessed November 2021. https://www.deltastate.edu/PDFFiles/irp/factbooks/2020-21-Mini-Factbook.pdf
Greenblatt, E. (2005). Exploring LGBTQ Online Resources. Journal of Library Administration, 43(3–4), 85–101.
Hawkins, B.W., Morris, M., Nguyen, T., Siegel, J., and Vardell, E. (2017). Advancing the Conversation: Next Steps for Lesbian, Gay, Bisexual, Trans, and Queer (LGBTQ) Health Sciences Librarianship. Journal of the Medical Library Association, 10 5 (4), 316–27.
Keeran, P., and Forbes, C. (2018). Successful Campus Outreach for Academic Libraries: Building Community through Collaboration . New York City: Rowman & Littlefield Publishers.
Kitchens, K. (2017). Librarian Field Notes . Accessed November 2021. https://www.ala.org/advocacy/intersections-queer-library-outreach-zine
Kohout-Tailor, J., and Klar, L. (2021). COVID-19, Collections, and Collaboration: Promoting Inclusivity from the Ground Up. C&RL News, 82(4), 171–174
Koontz, C., and Mon, L. (2014). Marketing and Social Media: A Guide for Libraries, Archives, and Museums. New York: Rowman& Littlefield.
Kraemer, E., Keyse, D., and Lombardo, S. (2003). Beyond these walls: Building a library outreach program at Oakland University. The Reference Librarian, 39(82), 5–17.
Mehra, B., and Braquet, D. (2011). Progressive LGBTQ reference: Coming out in the 21st century. Reference Services Review, 39, 401–422.
Monnier, R. (2021). Pivoting Partnership Programming During a Pandemic: Centennial Celebrations in 2020. Public Services Quarterly, 17(1), 53–58.
Naidoo, J. (2013). Over the Rainbow and under the Radar: Library Services and Programs to LGBTQ Families. Children and Libraries, 11(3), 34–40.
Ollis, C. (2017). Standing Up for Our Communities: Best practices and resources for public libraries serving LGBTQ youth. American Libraries. Accessed November 2021. https://americanlibrariesmagazine.org/2017/06/21/standing-up-lgbtq-youth-communities/
Puente, M.A., Gray, L., and Agnew, S. (2009). The expanding library wall: Outreach to the University of Tennessee’s multicultural/international student population. Reference Services Review, 37(1), 30–43.
Renn, K., and Bilodeau, B. (2005). Leadership Identity Development Among Lesbian, Gay, Bisexual, and Transgender Student Leaders. Journal of Student Affairs Research and Practice , 42(3).
Ronan, W. (2021). 2021 Slated to Become Worst Year for LGBTQ State Legislative Attacks as Unprecedented Number of States Poised to Enact Record-Shattering Number of Anti-LGBTQ Measures I nto Law . Human Rights Campaign. Accessed November 2021. https://www.hrc.org/press-releases/2021-slated-to-become-worst-year-for-lgbtq-state legislative-attacks
Stack, L. (2019, June 6). Drag Queen Story Hour Continues Its Reign at Libraries, Despite Backlash. New York Times , https://www.nytimes.com/2019/06/06/us/drag-queen-story-hour.html .
Todorinova, L., and Ortiz-Myers, M. (2019). The role of the academic library in supporting LGBTQ students: A survey of librarians and library administrators at LGBTQ-friendly colleges and universities. College & Undergraduate Libraries, 26(1), 66–87.
Yin, R. (2017) Case Study Research: Design and Methods. New York City, SAGE Publications.
* Afton Fawn Ussery is Instructional and Access Services Librarian at Delta State University, email: [email protected] ; Sofiya Petrova Dahman is Resource Delivery/ILL Librarian at University of Memphis, email: [email protected] . ©2024 Afton Fawn Ussery and Sofiya Petrova Dahman, Attribution-NonCommercial ( https://creativecommons.org/licenses/by-nc/4.0/ ) CC BY-NC.
Contact ACRL for article usage statistics from 2010-April 2017.
2024 |
January: 0 |
February: 0 |
March: 0 |
April: 0 |
May: 0 |
June: 3 |
July: 159 |
© 2024 Association of College and Research Libraries , a division of the American Library Association
Print ISSN: 0010-0870 | Online ISSN: 2150-6701
ALA Privacy Policy
ISSN: 2150-6701
Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.
Scientific Reports volume 14 , Article number: 15082 ( 2024 ) Cite this article
70 Accesses
Metrics details
Malaysia's excessive energy consumption has led to the depletion of traditional energy reserves such as oil and natural gas. Although Malaysia has implemented multiple policies to achieve sustainable national energy development, the current results are unsatisfactory. As of 2022, only 2% of the country's electricity supply comes from renewable energy, which accounts for less than 30% of the energy structure. Malaysia must ensure energy security and diversified energy supply while ensuring sustainable energy development. This article uses the fuzzy multi-criteria decision-making(MCDM) method based on cumulative prospect theory to help decision-makers choose the most suitable renewable energy for sustainable development in Malaysia from four dimensions of technology, economy, society, and environment. The results show that solar power is the most suitable renewable energy for sustainable development, followed by biomass, wind, and hydropower, but the optimal alternative is sensitive to the prospect parameters. Finally, it was analyzed that efficiency, payback period, employment creation, and carbon dioxide (CO 2 ) emissions are the most critical factors affecting the development of renewable energy in Malaysia under the four dimensions. Reasonable suggestions are proposed from policy review, green finance, public awareness, engineering education, and future energy. This research provides insightful information that can help Malaysian decision-makers scientifically formulate Sustainable development paths for renewable energy, analyze the problems encountered in the current stage of renewable energy development, and provide recommendations for Malaysia's future renewable energy transition and sustainable development.
Introduction.
The utilization of fossil fuels poses detrimental effects on the environment and generates toxic pollutants. It also harms the ecosystem and releases hazardous gasses, all while its energy source remains unsustainable 1 . It is expected that the world population will reach 9 billion by 2050. In addition, economic growth, technological progress, and environmental degradation are leading to an increasing global demand for renewable energy 2 , 3 . Therefore, sustainable energy (SusE) is crucial for a country's economic and social development, environmental improvement, and improving people's quality of life 4 . Figure 1 shows the world's renewable energy consumption and generation from 2012 to 2022 5 . More and more countries are beginning to realize the role of renewable energy in their economy, environment, and energy transition 6 . Malaysia has been exploring which engine to use to strengthen its sluggish economy in recent years. Renewable energy's enormous economic benefits and sustainable development paths have provided an essential way for Malaysia's economic growth and energy transition. The Malaysian government is increasingly valuing them 7 . With the rapid economic development in recent years, Malaysia is enjoying the benefits of economic growth while also being affected by environmental changes. Figure 2 indicates the carbon dioxide emissions of Malaysia and the world.
Global renewable energy generation and consumption from 2012 to 2022 (source: British Petroleum(BP) Statistical Review of World Energy 2023 5 ).
Global and Malaysian carbon dioxide emissions from 2010 to 2019. (source: World Bank(WB) 16 ).
Comparing the world's total CO 2 emissions, we find Malaysia has not made good progress in control of carbon emissions in recent years 8 . Malaysia still faces significant challenges in achieving stable decarbonization 9 . Solar, biomass, wind, and hydropower are among the abundant renewable resources in Malaysia. Figure 3 depicts the utmost net generating capacity of power plants and other installations that produce electricity from renewable energy sources in Malaysia 10 . As of 2022, Malaysia has produced around 2% of its power from different renewable sources, which falls well short of the original goal of achieving a 20% renewable energy penetration by 2030. Meanwhile, expanding Renewable and Sustainable Energy Sources (RnESs) has become essential to meet energy demand, address climate change, and achieve clean and sustainable development. Selecting the optimal renewable energy source would have positive effects on sustainability in several areas, including social and environmental aspects 11 .
The greatest net generating capacity of power facilities and other renewable energy installations in Malaysia from 2013 to 2022. (source: The International Renewable Energy Agency (IRENA) Capacity Statistics 2023 10 ).
Malaysia has diverse endowments of renewable energy resources. The average annual rainfall in Malaysia is 3549 mm. There are approximately 189 named rivers with a total length of approximately 57,300 kilometers 12 . In recent years, Malaysia's hydropower resources have been exhausted, and the major environmental and social problems caused by hydropower plants have attracted the attention of the government 13 . Although Malaysia lacks wind energy resources, it has 29 longest coastlines in the world, totalling approximately 4,675 km. The offshore wind energy resources are abundant and suitable for developing offshore wind power projects according to their resource characteristics 14 . The average sunshine intensity in Malaysia is 4.21–5.56 kWh/m 2 . Solar energy potential is roughly four times that of fossil fuels 13 . Oil palm is the most significant source of biomass in Malaysia. As the world's second-largest producer of palm oil, the current oil palm plantation area is close to 6 million ha 12 . In this context, Although the Coronavirus Disease 2019 (COVID-19) has caused great damage to all aspects of the economy of Malaysia 15 , the Malaysian government still actively seek sustainable path for renewable energy development.
This article is intended to assist Malaysian policymakers in analyzing the current state of renewable energy in Malaysia, to formulate a scientific and effective renewable energy policy. This article's structure is as follows: Section " Literature review " reviews the relevant literature, focusing primarily on MCDM techniques, cumulative prospect theory, and fuzzy set theory. The evaluation criteria system and renewable energy selection decision model are established, and the decision-making process is elaborated in Section " Research methodology ". Section " A study case in Malaysia " evaluates the types of renewable energy in Malaysia. The final section summarizes and discusses the entire article and provides suggestions for Malaysia's renewable energy policies, which will help Malaysia pursue a low-carbon and sustainable development path.
MCDM techniques were extensively employed in selecting renewable energy sources(RPS) 17 . Büyüközkan et al. proposed a novel MCDM approach that integrates Spherical Fuzzy Decision-Making Trial and Evaluation Laboratory (SF-DEMATEL), Spherical Fuzzy Analytic Network Process (SF-ANP), and Spherical Fuzzy Vlse Kriterijumska Optimizacija Kompromisno Resenje (SF-VIKOR) algorithms in a Group Decision Making (GDM) environment. By evaluating wind energy, geothermal energy, solar energy, hydropower, and biogas, it is finally determined that wind and solar energy are the most appropriate energy options for sustainable development in Turkey 18 . Giri et al. have established a criteria system based on society, environment, economy, technology, and politics, including 21 sub-criteria. The study determined that wind energy was India's most optimal energy source, followed by solar and biomass energy, with tidal energy having the lowest value 19 . Nuriyev et al.used four different MCDM methods to make optimal choices for renewable energy transition scenarios in oil and gas-producing countries. The final determination of Azerbaijan's energy planning path is to increase natural gas (NG) moderately, maintain hydro, and increase solar notably and wind moderately 20 . Akpahou et al. evaluated the alternatives using eighteen criteria categorized under the four pillars of sustainability (technical, social, economic, and environmental). Ultimately, it is concluded that solar photovoltaic power generation is the finest energy choice for Benin's government 21 .
Additionally, MCDM techniques have been implemented in other renewable energy sectors, such as efficiency assessment 22 , material supplier selection 23 , and site selection 24 . Scholars combine MCDM techniques with fuzzy set theory.This was called the fuzzy MCDM theory. This theory has been widely used in PRS selection. Sylvester et al. adopted the analytical hierarchy process (AHP) and fuzzy technique for order performance by similarity to the ideal solution (fuzzy TOPSIS) to analyze the influencing factors on the development of renewable energy in Malawi 25 . Ighravwe et al. built a framework that combines the fuzzy entropy method and fuzzy-VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) to rank hybrid renewable energy systems (HRES) simulation software 26 . Nguyen et al. have already developed a fuzzy MCDM model for suitable turbine suppliers in wind power energy projects 27 . Bandira et al. studied the optimal location of solar power plants using the MCDM method 28 . It is significant to apply fuzzy MCDM techniques to RPS selection to control uncertainty.
Classic MCDM techniques typically rely on the expected utility theory, which assumes that decision-makers are entirely rational. However, in complex and diverse environments, decision-makers may face various dangers. Kahneman's prospect theory demonstrated that decision-makers' psychological behaviour exhibits a risk-averse tendency for gains and a risk-seeking tendency for losses 29 . Some individual decision-making theories, such as regret theory, cumulative prospect theory, disappointment theory, and third-generation prospect theory, have begun to develop swiftly based on prospect theory. Among these theories, the cumulative prospect theory best describes the behavioral characteristics of decision-makers. The calculation formula can give the value and weight of the likely result. Therefore, it is considered the most popular theory.
Due to the logical clarity and simplicity of the formulations, the method has been extensively used to solve numerous decision-making problems 30 . Currently, cumulative prospect theory is applied to the decision-making process regarding renewable energy. Zhang et al. evaluated five commercial photovoltaic technologies from a sustainable perspective using a cumulative prospect theory 31 . Zhao et al. used the cumulative prospect theory to select the location of a wind farm in China 32 . Due to the unpredictability and volatility of renewable energy, the decision to utilize it is fraught with significant dangers. Decision-makers frequently exhibit distinct risk preferences, including risk neutrality, risk aversion, and risk pursuing. Decision-makers' varying risk preferences will have a decisive effect on the outcome.
The above research does not consider the risk preference of decision-makers based on traditional fuzzy MCDM. At the same time, it does not consider the deep integration of sustainable development concepts and renewable energy development plans. The above model and viewpoint have not been well applied in Malaysia's renewable energy sustainable development plan. Based on previous research, we propose a fuzzy MCDM model based on cumulative prospect theory, providing scientific guidance for sustainable renewable energy development in Malaysia. The innovation of this article lies in combining fuzzy theory and cumulative prospect theory to evaluate Malaysia's renewable energy from a sustainable development perspective.
Evaluation criteria system.
Establishing a criteria system plays a vital role in RPS selection decision-making. In this section, four main criteria directly related to the sustainability objective were selected for analysis: technical, economic, social, and environmental aspects. These criteria align with the Eleventh Malaysia Plan developed by the Malaysian government. Moreover, sub-criteria associated with each criterion were identified from the scientific databases, including Google Scholar, Web of Science, and Scopus. We finalized 15 criteria after conducting an extensive literature review and consulting with 10 experts. To achieve the goal of this study, we contacted 10 experts from academic institutions, government energy departments, stakeholders, and industries. Table 1 contains the demographic data of the experts. Figure 4 depicts the RPS selection criteria evaluation system. The following are the explanations of the sub-criteria:
Evaluation criteria system for RPS evaluation. ( www.freepik.com Designed by Freepik) .
Reliability C11 33 , 34 Reliability is the ability of the system to operate as required under specified conditions.
Efficiency C12 35 , 36 Efficiency refers to the level of conversion of natural resources into usable electrical energy.
Maturity C13 35 , 36 Maturity indicates the size of the application range of the technology and whether there is room for improvement.
Resource availability C14 35 The RPS's secure operation is determined by the availability of renewable energy resource (RER) for energy generation.
Investment Cost (C21) 35 , 37 Investment Cost includes the overall investment from the establishment of the factory to the operation of the equipment, including installation, commissioning, labor, equipment, infrastructure, etc.
O&M cost(C22) 36 , 37 Operations and maintenance cost(O&M cost) represents the operating cost of the factory, which includes parts maintenance costs, worker wages, etc. Compared with traditional energy, renewable energy has lower operating and maintenance costs.
Electricity Cost(C23) 35 , 37 Electricity Cost is the net present value of the lifecycle unit cost of electricity for a generating asset.
Payback period(C24) 35 , 38 The payback period of a renewable energy initiative is the amount of time required for the total return on investment to equal the initial investment.
Market maturity(C25) 37 indicates the overall situation of international market investment in this field.
Social benefits(C31) 35 , 36 By initiating a power initiative, social benefit represents social progress in the local community and region.
Employment creation(C32) 35 , 37 The number of jobs the energy system can provide throughout its life cycle.
Public acceptance (C33) 39 : This criterion pertains to the level of public acceptance of renewable energy (RE), which is acknowledged as a significant factor influencing the adoption of RE technology and the attainment of energy policy objectives. The opinions of the population and pressure groups can significantly impact the time required to complete an energy project, making it of utmost importance.
Land requirement(C41) 35 , 37 refers to the land area occupied by renewable energy power plants, which may cause resettlement or affect the surrounding environment and increase additional costs.
Impact on the ecosystem(C42) 13 , 35 This indicator measures the environmental harm caused by the power facility.
CO 2 emission(C43) 13 , 40 The capacity of renewable resources to reduce carbon dioxide emissions.
MCDM is commonly employed in renewable energy management, particularly in energy policy analysis, technology selection, project appraisal, and environmental effect analysis 41 . Considering Malaysia's renewable energy resource endowment, scholars have selected solar, biomass, wind and hydro energy as important alternative options in their research 6 , 13 , 42 , 43 . Numerous studies by scholars have shown that MCDM models could be used to evaluate, compare and rank different renewable energy sources based on a comprehensive set of technical, environmental, economical, and social criteria 37 , 44 , 45 , 46 . The combination of MCDM techniques and fuzzy set theory,named fuzzy MCDM. Currently widely used in the field of renewable energy selection. Due to the high degree of uncertainty in the selection of renewable energy, combining MCDM with fuzzy theory can effectively solve the uncertainty. In different environments, the subjective preferences of decision-makers can affect the final decision results. Therefore, this article adopts the cumulative prospect theory method to describe decision-makers' characteristics in different situations.The decision model is a systematic framework incorporating triangular fuzzy number (TFN), AHP, and cumulative prospect theory.
The data in this study were obtained from literature review and expert evaluation. Refer to Table 4 for specific data sources. The structure comprises two major components: the first part is preparation, and the second part is decision-making. In the preparation phase, alternative, criteria and sub-criteria were obtained through a literature review. Experts select the most appropriate criteria, sub-criteria and renewable energy alternatives. Quantitative and qualitative data were then obtained through literature and report reviews as well as expert evaluations. Divide the obtained raw data into three categories: Crisp Value, Interval Value and Linguistic term, and convert the original data into TFN according to different rules. Then the converted data is normalized. In the decision-making stage, the final ranking of the renewable energy alternatives is calculated based on the formula used in steps 1–6.Fig. 5 describes the preparation and decision-making stages of the theory.
Decision framework of RPS selection.
Based on the research results of previous scholars,4 criteria (technical, environmental, economical, and social) and 20 sub-criteria (Reliability et al.) were selected as alternative indicators, and 4 alternative resources (solar, biomass, wind, and hydro energy) were selected. Finally, experts from various fields will select and evaluate the criteria and sub-criteria based on actual situations and work experience while determining four alternative resources. The experts affirmed four criteria and four alternative resources and selected 15 of 20 sub-criteria.
Quantitative and qualitative standards need to be used when establishing an evaluation system. Usually, qualitative criteria are obtained from journal literature, websites, reports, etc. Acquiring qualitative criteria requires authoritative experts to evaluate them based on their experience and knowledge 47 . Experts usually use linguistic terms to process qualitative data because language is closer to human thinking 48 . We assume that the linguistic evaluation set is:
In the following manners, we convert crisp values, interval values, and linguistic terms to TFN:
The TFN form of crisp value is three equal values. For instance, the crisp value 5.8 can be converted to the TFN value (5.8, 5.8, 5.8) 46 .
We perform an arithmetic average on the upper and lower limits of the interval value to find the intermediate value of TFN. For instance, the interval value (6,8) can be converted to the TFN value (6,7,8).
This approach relies on linguistic variables represented by TFNs. Table 2 presents the use of the TFNs scale in this investigation. For instance, the term 'Very Low (LV)' can be converted to the TFN (0, 1, 2).
This section needs Eq. ( 1 ) to calculate the normalize the matrix to eradicate the impact of multiple physical variables on the decision-making process.
The decision matrix \({\left[{b}_{ij}\right]}_{m\times n}\) needs are normalized as \({\left[{r}_{ij}\right]}_{m\times n}\) where \(\left( {\tilde{r}_{ij} = r_{{i\underline {j} }} ,r_{ij} ,\overline{r}_{ij} } \right)\) and \({\overline{b} }_{maxj}\) = \(\mathit{max}\left\{{\overline{b} }_{ij}\mid i=\text{1,2}\dots ,m\right\}\) , \({\underline{b}}_{minj}\) = \(\mathit{min}\left\{{\overline{b} }_{ij}\mid i=\text{1,2}\dots ,m\right\}\)
According to the Data transformation rule, sub-criteria values are converted to corresponding TFN. Then determine the sub-criteria attributes. Finally, the data is normalized by Eq. ( 1 ).
Step 1 calculate the pis and nis for every sub-criteria.
First, calculate the defuzzification values of all TFNs in the normalized decision matrix using Eq. ( 2 ), the value of defuzzification S( \(\widetilde{b}\) ) is calculated as follows:
Let \(\widetilde{b}=(\underline{b} ,b,\overline{b })\) be a TFN. Then, for each sub-criteria, sort the TFNs of the alternatives by their defuzzification values. Then, the positive ideal solution (PIS) and the negative ideal solution (NIS) of all options under each sub-criterion, named \({\text{M}}_{j}\) and \({\text{N}}_{j}\) (j = 1,2…,m), can be determined 46 .
Equation ( 3 ) can be used to calculate the gain or loss values. The gains or losses values can be represented by the distance between alternative and NIS/PIS using Eq. ( 3 ), respectively.
Let \(\widetilde{b}=(\underline{b} ,b,\overline{b })\) and \(\widetilde{c}=(\underline{c} ,c,\overline{c })\) to be TFNs.
According to the obtained gain and loss values, use Eq. ( 4 ) to calculate the positive and negative prospect value matrixes( \({\text{A}}_{\text{ij}}^{+}\) and \({\text{A}}_{\text{ij}}^{-}\) ).
When x ≥ 0 indicates the gains, x < 0 indicates the losses. α and β are exponential parameters associated with gains and losses. We assume that 0 ≤ α ≤ β ≤ 1 49 . λ is the risk aversion parameter, indicating that losses have the characteristic of being steeper than gains, λ > 1 49 . This analysis uses the values α = β = 0.88 for these parameters 49 .
Utilize the AHP to determine the weight of each indicator based on all criteria and sub-criteria.
According to the sub-criteria weight obtained, calculate the cumulative prospect weights \({U}_{{w}_{j}}^{+}\) and \({U}_{{w}_{j}}^{-}\) using Eq. ( 5 ).
where χ and δ represent the attitude coefficient for risk gains and losses, respectively, 0 < χ; δ < 1. Similarly, experiments determine the values of χ and δ to be 0.61 and 0.69, respectively 49 .
Compute the comprehensive prospect values for each alternative. Since the prospect value and cumulative prospect weight have been determined, the comprehensive prospect value of each alternative V i can be calculated by Eq. ( 6 ).
Rps selection in malaysia based on the cumulative proposed approach.
Collecting renewable energy data in Malaysia combines them with relevant expert evaluations. Fill in the quantitative and qualitative criteria in Table 3 - the criteria values and their references and Table 4 - the sub-criteria values and references. Convert the crisp values, interval values, and linguistic terms to TFNs. The transformed matrix is in Table 5 - the transformed decision matrix. Normalize the transformed matrix according to Eq. ( 1 ). Fill in the calculated data in Table 6 - the normalized decision matrix.
Equation ( 2 ) calculates the defuzzification values of all TFNs based on the normalized decision matrix. The PIS and NIS of each alternative under each sub-criteria are then calculated as follows:
M(PIS) = {M1,M2,…,Mm} = \(\underset{1\le i\le n}{\{\text{max}}\left({\widetilde{r}}_{i1}\right),\underset{1\le i\le n}{\text{max}}\left({\widetilde{r}}_{i2}\right),\dots ,\underset{1\le i\le n}{\text{max}}\left({\widetilde{r}}_{im}\right)\}\) ={(0.80,0.90,1.00),(1.00,1.00,1.00),(0.80,0.90,1.00),(1.00,1.00,1.00),(0.35,0.52,1.00),(0.29,0.44,1.00),(1.00,1.00,1.00),(0.50,0.67,1.00),(0.75,0.88,1.00),(0.80,0.90,1.00),(1.00,1.00,1.00),(0.80,0.90,1.00),(1.00,1.00,1.00), (0.67,0.80,1.00), (0.02,0.03,1.00)}.
N(NIS) = {N1,N2,…,Nm} = \(\{\underset{1\le i\le n}{\text{min}}\left({\widetilde{r}}_{i1}\right),\underset{1\le i\le n}{\text{min}}\left({\widetilde{r}}_{i2}\right),\dots ,\underset{1\le i\le n}{\text{min}}\left({\widetilde{r}}_{im}\right)\}\) ={(0.40,0.50,0.60),(0.12,0.12,0.12),(0.40,0.50,0.60),(0.09,0.09,0.09),(0.18,0.22,0.30),(0.14,0.16,0.19),(0.07,0.09,0.12),(0.31,0.34,0.38),(0.50,0.63,0.75),(0.00,0.1,0.2),(0.07,0.07,0.07),(0.40,0.50,0.60),(0.00,0.00,0.00),(0.40,0.44,0.50), (0.01,0.02,0.07)}.
Using Eq. ( 3 ), the value of the gains or losses can be depicted by the distance between the alternative and the NIS or PIS. The calculation yields the following result:
After obtaining the gain and loss values, the following positive and negative prospect value matrices \({\text{A}}_{\text{ij}}^{-}\) and \({\text{A}}_{\text{ij}}^{+}\) Are calculated using Eq. ( 4 ).
This article invites experts and scholars from various fields related to renewable energy in Malaysia to evaluate renewable energy based on actual situations. According to the AHP method, we get the weights of criteria (Fig. 6 ) and sub-criteria (Fig. 7 ). The Malaysian renewable energy assessment model shows that economy and technology are the two most important indicators, with weights of 0.41 and 0.29, respectively. The proportion of environmental indicators is higher than social indicators, with weights of 0.19 and 0.11, respectively.
The weights of criteria.
The weights of sub-criteria.
The payback period has become the most important secondary standard in Malaysia's renewable energy generation system, and it is foreseeable that more and more renewable energy investors will shift their focus to whether they can recover their renewable energy investment costs within the contract's validity period. CO 2 emissions have become the most important environmental consideration, consistent with Malaysia's development goal of limiting carbon emissions in the energy sector. From a technical perspective, efficiency is the most critical standard. Compared to other technological indicators, this preference for efficiency indicates risk-taking behavior and acceptance of new technologies. From a social perspective, employment creation is considered a crucial factor.
Calculate the cumulative prospect weights based on the sub-criteria weights and Eq. ( 5 ). The specific results are as follows:
According to the prospect value and cumulative prospect weight, calculate using Eq. ( 6 ). The integrated prospect values of each alternative are ultimately measured as follows:
V 1 = 1.86; V 2 = 0.38; V 3 = 1.49; V 4 = 1.35.
The final RPS ranking is determined as follows: V 1 > V 3 > V 4 > V 2 . Solar power is the superior option, followed by biomass, wind, and hydropower. The study's results confirm the study by Ahmad and Tahar in 2014 13 .
After further research revealed that each RPS performed differently in the four criteria: solar energy has advantages in economics, bioenergy is inclined towards social criteria, and wind power is inclined towards environmental criteria. The technical criteria of hydropower are better than the other three alternative power sources. Figure 8 shows the specific parameters.
Performance of RPS alternatives in relation to criteria.
Prospect parameters(λ,α,β) largely influence decision-makers' risk tolerance. Therefore, analyzing the above three parameters is necessary to prove whether parameter changes will affect the final result. For the above purpose, we have created three scenarios to analyze the impact of the three prospect parameter changes on the results.
Scenario 1. By altering the value of the parameter λ from 1 to 10.
Scenario 2. By altering the value of the parameter α from 0.1 to 1.
Scenario 3. By altering the value of the parameter β from 0.1 to 1.
The sensitivity analysis results for the three scenarios are depicted in Fig. 9 , Fig. 10 , Fig. 11 . based on the sensitivity analysis graph. We conclude that the ranking results are sensitive to the parameters of β but insensitive to parameters λ and α. The ranking results between 0.1 and 0.24 are modified to be V 4 > V 1 > V 3 > V 2 . While between 0.24 and 0.5, the ranking results are changed to V 1 > V 4 > V 3 > V 2 . When the value exceeds 0.5, the outcome is identical to the conclusion of this article. This implies that the risk parameters will influence the decisions of decision-makers. In this formula, α represents the concavity degree of the gain region of the prospect value function, while β represents the convexity degree of the loss region. Therefore, the greater the values of α and β, the more adventurous decision-makers will choose to be when making decisions. While λ indicates the sensitivity of investors to losses. So, with the decrease of the α or β value, decision-makers tend to be more conservative when faced with risks. From the perspective of decision security, Malaysian policymakers would give more attention to wind power.
Sensitivity analysis in the Scenario of the parameter λ changes.
Sensitivity analysis in the Scenario of the parameter α shifts.
Sensitivity analysis in the Scenario of the parameter β shifts.
This section introduces two comparison methods: fuzzy TOPSIS and fuzzy simple additive weighting (SAW). The fuzzy TOPSIS technique to resolve MCDM problems in a fuzzy setting successfully deals with assessment uncertainty. This strategy is based on choosing an alternative closest to the PIS and farthest from the NIS 53 . The Fuzzy SAW technique is commonly used to tackle problems related to fuzzy MCDM 54 . The ultimate score for each choice is determined by multiplying the assigned importance weight for each criterion by the fuzzy value of the alternative on that criterion and then summing the products across all criteria. We may obtain the optimal solution by employing fuzzy TOPSIS and fuzzy SAM by utilising the parameters proposed by Tversky and Kahneman. This approach is equivalent to the recommended method. Table 7 shows the ranking results of three methods.
This article proposes a fuzzy MCDM technique based on cumulative prospect theory to select Malaysia's best sustainable development path for renewable energy. Firstly, establish a standard system based on the literature review and expert evaluation, which includes 4 criteria and 15 sub-criteria. Secondly, convert qualitative and quantitative information into TFNs. Thirdly, derive the weights of criteria and sub-criteria using the AHP method. Fourthly, considering different risk parameters, use the cumulative prospect theory to choose alternative energy sources. Fifth, take Malaysia's renewable energy as an example to get the renewable energy ranking results. The weight results show that the economic aspect is the most critical criterion. The ranking result shows that solar power is the most suitable development and investment, followed by bioenergy, wind energy, and hydropower. Sixth, a sensitivity analysis is performed on the parameters, and the results show the ranking order is sensitive to the parameters of β. Finally, the correctness of this study was verified through comparative analysis using fuzzy TOPSIS and fuzzy SAW.
The model results showed that payback period and investment cost are the most critical sub-criteria from an economic aspect, while efficiency is from a technical aspect. From the environmental and social perspective, CO 2 emission and employment creation are the highest sub-criteria, respectively. The four sub-standards indicate that strengthening energy transformation to achieve sustainable development of green energy requires evaluating the effectiveness of national renewable energy-related policies, accelerating the introduction of renewable energy technologies, and strengthening financial support for renewable energy projects. At the same time, improving the effectiveness of existing measures to raise public awareness and ultimately enhance the level of knowledge and awareness within the national education system. The ranking results of the model show that solar power is the most suitable development and investment, followed by bioenergy, wind energy, and hydropower.
Malaysia's abundant solar power resources, increasingly mature technologies, and declining solar panel prices make it the most worthwhile renewable energy investment. Considering the current status of renewable energy resources in Malaysia and the international renewable energy development trend, solar power generation has entered the fast lane of rapid development. However, there are uncertainties in the supply of raw materials for biomass. At the same time, Malaysia's abundant biomass reserves and huge power generation potential can effectively solve this problem. Nevertheless, wind energy resources in Malaysia are slightly scarce compared with other resources. Actually, the long coastline and abundant offshore wind energy resources are still worthy of project decision-makers' consideration. Hydropower projects are the areas where investors have the most cooperation with the Malaysian government. In recent years, Malaysia's hydropower resources have gradually dried up, and the resource potential has been exhausted. In this case, investors and the Malaysian government must find new renewable energy alternatives for corporate and economic development, respectively. Sustainable Energy Development Authority Malaysia has offered to host a webinar on the subject of Shaping the Future of the Green Hydrogen Economy on 23 July 2020. Hydrogen has started to receive attention from the government as a new potential renewable energy (RE) in Malaysia.
The implementation of the Five Fuel Diversification Policy (FDP) in 2000 failed to achieve the intended objective of increasing the adoption of RE. Despite Malaysia's abundant natural and renewable resources, such as solar, hydro, and biomass, there has been no substantial progress in their development for the past twenty years. As of the end of 2022, Malaysia had not adequately diversified its energy sources in accordance with the supply strategy of the National Energy Policy and continued to rely mostly on petroleum. Malaysia should promptly undertake an evaluation of its current renewable energy development procedures to identify any deficiencies and obstacles that may hinder the implementation of these projects.
Further endeavors should be undertaken to establish a comprehensive green financial framework, encompassing provisions for green bonds, green loans, and other forms of finance. This method will be critical in alleviating the substantial financial challenges faced by authorized renewable energy producers. The Sustainable Energy Development Authority is highly qualified to assist in the establishment of such a framework due to its direct comprehension of the difficulties faced by program participants. The Ministry of Energy, Green Technology and Water (MEGTW) should engage in discussions with local financial institutions, private equity funds, and angel investors to find practical solutions for addressing the funding shortages in renewable energy project development.
In order to improve the progress of sustainable development, legislation pertaining to RE and green technologies must effectively tackle many societal concerns. For example, more jobs should be created for the public in order to improve their living standards. Therefore, it is essential to assess and enhance the effectiveness of current public awareness initiatives, which play a vital role in promoting renewable energies and environmentally friendly policies, in order to gain increased public backing for sustainable development.
A further barrier is the lack of advanced technology for the generation of RE and a general ignorance about the benefits of RE. To tackle these difficulties, the Malaysian Centre for Education and Training in RE and Energy Efficiency should raise awareness and knowledge of the nation's educational system. Secondary school and university curricula should incorporate concepts from both RE and energy efficiency(EE). The primary impediments to renewable energy generation are a lack of knowledge of adequate equipment and process operation, inadequate energy management, and limited technology availability.
In order to better safeguard Malaysia's energy demand and security and achieve sustainable energy development as soon as possible, it is necessary to explore future energy sources actively. Malaysia has built a roadmap for a green hydrogen economy by 2025. By 2035, Malaysia should implement the Green Hydrogen initiative alongside the other RE policies and action plans outlined in the roadmap.
Renewable energy has a significant impact on the country's energy transformation and sustainable development. In terms of environmental impact, it decreases greenhouse gas(GHG) pollution, thereby reducing the effects of global change. Sustainable development reduces dependence on finite fossil fuels. In terms of energy security, RE ensures the sustainability of Malaysia’s energy supply by reducing dependence on imported fuel. Furthermore, in terms of economic development, it leverages Malaysia's enormous capacity and establishes a competitive, sustainable energy sector. In terms of society, the development of the renewable energy industry has brought a large number of employment opportunities to the country and provided benefits for residents. At present, the concept of renewable energy in Malaysia is still in its early stages, and the concept of sustainable development is not yet deeply rooted in people's minds. The continuous exploitation of non-renewable energy will have a significant impact on Malaysia's environment and climate change while threatening the global environment and sustainable development. Malaysia needs to continuously strengthen its investment in renewable energy, coordinate various interest groups, and strive to achieve its initial national renewable energy goals by 2030 and achieve net zero emissions by 2050.
Informed consent was obtained from all subjects involved in the study.
The data presented in this study are available on request from the corresponding author.
Abdel-Basset, M. et al. Evaluation approach for sustainable renewable energy systems under uncertain environment: A case study. Renew. Energy 168 , 1073–1095 (2021).
Article Google Scholar
Mahalik, M. K. et al. Impact of income inequality on renewable energy demand in south Asian economies. Energy Policy 180 , 113628 (2023).
Mohamed, M. & El-Saber, N. Toward energy transformation: Intelligent decision-making model based on uncertainty neutrosophic theory. Neutrosophic Syst. Appl. 9 , 13–23 (2023).
Rahim, N., Abdullah, L. & Yusoff, B. A border approximation area approach considering bipolar neutrosophic linguistic variable for sustainable energy selection. Sustainability 12 (10), 3971 (2020).
BP, BP Statistical Review of World Energy 2023. 2023.
MohdChachuli, F. S. et al. Performance evaluation of renewable energy R&D activities in Malaysia. Renew. Energy 163 , 544–560 (2021).
Vaka, M. et al. A review on Malaysia’s solar energy pathway towards carbon-neutral Malaysia beyond Covid’19 pandemic. J Clean Prod 273 , 122834 (2020).
Article CAS PubMed PubMed Central Google Scholar
Aeknarajindawat, N., Suteerachai, B. & Suksod, P. The impact of natural resources, renewable energy, economic growth on carbon dioxide emission in Malaysia. Int. J. Energy Econ. Policy 10 (3), 211–218 (2020).
Babatunde, K. A. et al. Malaysia’s electricity decarbonisation pathways: Exploring the role of renewable energy policies using agent-based modelling. Energies 16 (4), 1720 (2023).
IRENA, IRENA Capacity Statistics 2023. 2023.
Abd Aziz, A. J. et al. Review of the policies and development programs for renewable energy in Malaysia: Progress, achievements and challenges. Energy Explor. Exploit. 42 (4), 1472–1501 (2024).
Shafie, S. M. et al. Current energy usage and sustainable energy in Malaysia: A review. Renew. Sustain. Energy Rev. 15 (9), 4370–4377 (2011).
Ahmad, S. & Tahar, R. M. Selection of renewable energy sources for sustainable development of electricity generation system using analytic hierarchy process: A case of Malaysia. Renew. Energy 63 , 458–466 (2014).
Islam, M. R., Saidur, R. & Rahim, N. A. Assessment of wind energy potentiality at Kudat and Labuan Malaysia using Weibull distribution function. Energy 36 (2), 985–992 (2011).
Hui, L. C. et al. Impact of Covid-19 on renewable energy sector and lessons learned: A case study on Malaysia. Future Energy 1 (3), 44–50 (2022).
Bank, W. World Development Index . 2023 [cited 2023 4 May]; Available from: https://databank.shihang.org/ .
Stojčetović, B. & Šarkoćević, Ž Selection of the Most Suitable Renewable Energy Alternative For Štrpce Municipality. In New Trends in Engineering Research: Proceedings of the International Conference of Experimental and Numerical Investigations and New Technologies, CNNTech 2023 (eds Mitrovic, N. et al. ) 148–155 (Springer Nature Switzerland, Cham, 2024). https://doi.org/10.1007/978-3-031-46432-4_12 .
Chapter Google Scholar
Büyüközkan, G., Karabulut, Y. & Göçer, F. Spherical fuzzy sets based integrated DEMATEL, ANP, VIKOR approach and its application for renewable energy selection in Turkey. Appl. Soft Comput. 158 , 11465 (2024).
Giri, P., Paul, S. & Debnath, B. K. A fuzzy graph theory and matrix approach (fuzzy GTMA) to select the best renewable energy alternative in India. Appl. Energy 358 , 122582 (2024).
Nuriyev, M., Nuriyev, A. & Mammadov, J. Renewable energy transition task solution for the oil countries using scenario-driven fuzzy multiple-criteria decision-making models: The case of Azerbaijan. Energies 16 (24), 8068 (2023).
Akpahou, R. & Odoi-Yorke, F. A multicriteria decision-making approach for prioritizing renewable energy resources for sustainable electricity generation in Benin. Cogent Engineering 10 , 1–24 (2023).
Lijia, L. et al. Investment efficiency assessment of distribution network for the high proportion of renewable energy: A hybrid multiattribute decision-making method. Math. Probl. Eng. 2022 , 1–16 (2022).
Masoomi, B. et al. Strategic supplier selection for renewable energy supply chain under green capabilities (fuzzy BWM-WASPAS-COPRAS approach). Energy Strategy Rev. 40 , 100815 (2022).
Derse, O. & Yilmaz, E. Site selection optimization for 100% renewable energy sources. Environ. Sci. Pollut. Res. 31 (18), 26790–26805 (2024).
Chisale, S. W. & Lee, H. S. Evaluation of barriers and solutions to renewable energy acceleration in Malawi, Africa, using AHP and fuzzy TOPSIS approach. Energy Sustain. Dev. 76 , 101272 (2023).
Ighravwe, D. E. et al. A MCDM-based framework for the selection of renewable energy system simulation tool for teaching and learning at university level. Environ. Dev. Sustain. 24 (11), 13035–13056 (2021).
Nguyen, V. T., Hai, N. H. & Lan, N. T. K. Spherical fuzzy multicriteria decision-making model for wind turbine supplier selection in a renewable energy project. Energies 15 (3), 713 (2022).
Bandira, P. N. A. et al. Optimal Solar Farm Site Selection in the George Town Conurbation Using GIS-Based Multi-Criteria Decision Making (MCDM) and NASA POWER Data. Atmosphere 13 (12), 2105 (2022).
Article ADS Google Scholar
Kahneman, D. T. A. Prospect theory: an analysis of decision under risk. Econometrica 47 (2), 263–291 (1979).
Article MathSciNet Google Scholar
Zhou, Y. et al. Modeling dynamic travel mode choices using cumulative prospect theory. Transp. Res. Part A Policy Pract. 179 , 103938 (2024).
Zhang, D., Li, Y. & Chin, K.-S. Photovoltaic technology assessment based on cumulative prospect theory and hybrid information from sustainable perspective. Sustain. Energy Technol. Assess. 52 , 1012116 (2022).
Google Scholar
Zhao, H., Wang, S. & Lu, C. A study on site selection of wind power plant based on prospect theory and VIKOR: a case study in China. Kybernetes https://doi.org/10.1108/K-01-2024-0022 (2024).
Ren, J. & Lützen, M. Selection of sustainable alternative energy source for shipping: Multi-criteria decision making under incomplete information. Renew. Sustain. Energy Rev. 74 , 1003–1019 (2017).
Heo, E., Kim, J. & Boo, K.-J. Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP. Renew. Sustain. Energy Rev. 14 (8), 2214–2220 (2010).
Kaya, T. & Kahraman, C. Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul. Energy 35 (6), 2517–2527 (2010).
Amer, M. & Daim, T. U. Selection of renewable energy technologies for a developing county: A case of Pakistan. Energy Sustain. Dev. 15 (4), 420–435 (2011).
Al Garni, H. et al. A multicriteria decision making approach for evaluating renewable power generation sources in Saudi Arabia. Sustain. Energy Technol. Assess. 16 , 137–150 (2016).
Şengül, Ü. et al. Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey. Renew. Energy 75 , 617–625 (2015).
Lee, H.-C. & Chang, C.-T. Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan. Renew. Sustain. Energy Rev. 92 , 883–896 (2018).
Vaidya, O. S. & Kumar, S. Analytic hierarchy process: An overview of applications. Eur. J. Oper. Res. 169 (1), 1–29 (2006).
Kumar, A. et al. A review of multi criteria decision making (MCDM) towards sustainable renewable energy development. Renew. Sustain. Energy Rev. 69 , 596–609 (2017).
Zul, I. et al. Multi-criteria decision analysis for evaluation of potential renewable energy resources in Malaysia. Progress Energy Environ. 21 (1), 8–18 (2022).
Petinrin, J. O. & Shaaban, M. Renewable energy for continuous energy sustainability in Malaysia. Renew. Sustain. Energy Rev. 50 , 967–981 (2015).
Liu, Y. & Du, J.-L. A multi criteria decision support framework for renewable energy storage technology selection. J. Clean. Prod. 277 , 122183 (2020).
Troldborg, M., Heslop, S. & Hough, R. L. Assessing the sustainability of renewable energy technologies using multi-criteria analysis: Suitability of approach for national-scale assessments and associated uncertainties. Renew. Sustain. Energy Rev. 39 , 1173–1184 (2014).
Wu, Y., Xu, C. & Zhang, T. Evaluation of renewable power sources using a fuzzy MCDM based on cumulative prospect theory: A case in China. Energy 147 , 1227–1239 (2018).
Chen, S. et al. A linguistic multi-criteria decision making approach based on logical reasoning. Information Sciences 258 , 266–276 (2014).
Zadeh, L. A. The concept of a linguistic variable and its application to approximate reasoning—I. Inf. Sci. 8 (3), 199–249. https://doi.org/10.1016/0020-0255(75)90036-5 (1975).
Tversky, A. & Kahneman, D. Advances in prospect theory: Cumulative representation of uncertainty. J. Risk Uncertainty 5 (4), 297–323. https://doi.org/10.1007/BF00122574 (1992).
Chatzimouratidis, A. I. & Pilavachi, P. A. Technological, economic and sustainability evaluation of power plants using the analytic hierarchy process. Energy Policy 37 (3), 778–787 (2009).
Chatzimouratidis, A. I. & Pilavachi, P. A. Multicriteria evaluation of power plants impact on the living standard using the analytic hierarchy process. Energy Policy 36 (3), 1074–1089 (2008).
Varun, Bhat, I. K. & Prakash, R. LCA of renewable energy for electricity generation systems—A review. Renew. Sustain. Energy Rev. 13 (5), 1067–1073 (2009).
Article CAS Google Scholar
Seyedmohammadi, J. et al. Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops. Geoderma 310 , 178–190 (2018).
Ciardiello, F. & Genovese, A. A comparison between TOPSIS and SAW methods. Ann. Oper. Res. 325 (2), 967–994 (2023).
Download references
This research was funded by 1. Science Research Project of Hebei Education Department (grant number ZC2024126 ) . 2. Hebei Province University Innovation and Entrepreneurship Education Teaching Reform Research and Practice Project (grant number 2023cxcy273) . 3. Chengde City Science and Technology Plan Self-funded Project (Second Batch)( grant number 202303A119).
Authors and affiliations.
College of Physics and Electronic Engineering, Hebei Minzu Normal University, Chengde, 067000, Hebei, China
Development Planning and Domestic Cooperation Exchange Center, Hebei Minzu Normal University, Chengde, 067000, Hebei, China
Yonghui Lin
You can also search for this author in PubMed Google Scholar
Conceptualization, T.K.; methodology, T.K. and Y.H.; software, T.K. and H.W.; investigation, H.W.; resources, Y.H.; writing—original draft preparation, T.K.; writing—review and editing, T.K. , H.W. and Y.H.All authors have read and agreed to the published version of the manuscript.
Correspondence to Taikun Li .
Competing interests.
The authors declare no competing interests.
Publisher's note.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ .
Reprints and permissions
Cite this article.
Li, T., Wang, H. & Lin, Y. Selection of renewable energy development path for sustainable development using a fuzzy MCDM based on cumulative prospect theory: the case of Malaysia. Sci Rep 14 , 15082 (2024). https://doi.org/10.1038/s41598-024-65982-6
Download citation
Received : 09 November 2023
Accepted : 26 June 2024
Published : 02 July 2024
DOI : https://doi.org/10.1038/s41598-024-65982-6
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
By submitting a comment you agree to abide by our Terms and Community Guidelines . If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.
Sign up for the Nature Briefing: Anthropocene newsletter — what matters in anthropocene research, free to your inbox weekly.
New citation alert added.
This alert has been successfully added and will be sent to:
You will be notified whenever a record that you have chosen has been cited.
To manage your alert preferences, click on the button below.
Please log in to your account
Bibliometrics & citations, view options, recommendations, software process improvement in agile software development a systematic literature review.
It is recognized the relevance and importance that software process improvement (SPI) and agile development have gained in the field of software engineering. Both are approaches that increase the efficiency and effectiveness of a software development ...
Developing software in distributed development environments exhibits coordination, control and communication challenges. Agile practices, which demand frequent communication and self-organization between remote sites, are increasingly ...
Recently, Agile Development has emerged as an alternative approach in software engineering. The Agile Software Development (ASD) process provides the ability to cope with ever-changing requirements. On the other hand, the Capability Maturity Model ...
Published in.
Elsevier Science Inc.
United States
Author tags.
Other metrics, bibliometrics, article metrics.
Login options.
Check if you have access through your login credentials or your institution to get full access on this article.
Share this publication link.
Copying failed.
Affiliations, export citations.
We are preparing your search results for download ...
We will inform you here when the file is ready.
Your file of search results citations is now ready.
Your search export query has expired. Please try again.
Fintech’s ability to enhance efficiency and reduce costs in financial services can promote greater financial inclusion (FI), which in turn serves as a foundation for sustainable and equitable development. Due to the dearth of thorough summaries in the body of existing literature, this systematic review and bibliometric analysis aim to present quantitative and qualitative information about the comprehensive relationship between fintech, FI, and sustainability development in an organised way. The review includes 189 publications from peer-reviewed journals of Scopus and Web of Science (WoS) databases up to 2023. The article was compiled based on the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR‐4‐SLR) protocol and the theory-context-characteristics-methodology (TCCM) framework. Bibliometric analysis has identified the leading journals, authors, nations, articles, and themes. A conceptual model has been designed to illustrate the entire scope, following which potential study areas have been proposed. This study aims to provide academic researchers, policymakers, and regulators with a detailed understanding of the relationship between fintech, financial inclusion, and sustainable development. The analysis demonstrates that FI is an essential requirement of our society and a vital pathway to achieve sustainable development. In the content analysis, we identify an integrative framework of four variables on this nexus. We found a very few conceptual, qualitative, and mixed method papers on this interaction, which provide potential avenues for further research. We recommend that scholars consider adopting a multi-theory perspective. We propose a comprehensive framework on this nexus. It will also pinpoint specific areas that require further investigation.
This is a preview of subscription content, log in via an institution to check access.
Subscribe and save.
Price includes VAT (Russian Federation)
Instant access to the full article PDF.
Rent this article via DeepDyve
Institutional subscriptions
The data that supports the findings of this study is available on request.
Adegbite, O. O., & Machethe, C. L. (2020). Bridging the financial inclusion gender gap in smallholder agriculture in Nigeria: An untapped potential for sustainable development. World Development, 127 , 104755.
Article Google Scholar
Afjal, M. (2023). Bridging the financial divide: A bibliometric analysis on the role of digital financial services within FinTech in enhancing financial inclusion and economic development. Humanities and Social Sciences Communications, 10 (1), 1–27.
Ahelegbey, D., Giudici, P., & Pediroda, V. (2023). A network based fintech inclusion platform. Socio-Economic Planning Sciences, 87 , 101555.
Akolgo, I. A. (2023). On the contradictions of Africa’s fintech boom: evidence from Ghana. Review of International Political Economy , 30 (5), 1639–1659. https://doi.org/10.1080/09692290.2023.2225142
Alshater, M. M., Saba, I., Supriani, I., & Rabbani, M. R. (2022). Fintech in Islamic finance literature: A review. Heliyon , 8(9). https://doi.org/10.1016/j.heliyon.2022.e10385
Ameen, N., Sharma, G. D., Tarba, S., Rao, A., & Chopra, R. (2022). Toward advancing theory on creativity in marketing and artificial intelligence. Psychology & Marketing, 39 (9), 1802–1825.
Arner, D. W., Buckley, R. P., Zetzsche, D. A., & Veidt, R. (2020). Sustainability, FinTech and financial inclusion. European Business Organization Law Review, 21 , 7–35.
Banna, H., Mia, M. A., Nourani, M., & Yarovaya, L. (2022). Fintech-based financial inclusion and risk-taking of microfinance institutions (MFIs): Evidence from Sub-Saharan Africa. Finance Research Letters, 45 , 102149.
Ben Slimane, S., Coeurderoy, R., & Mhenni, H. (2022). Digital transformation of small and medium enterprises: A systematic literature review and an integrative framework. International Studies of Management & Organization, 52 (2), 96–120.
Bhatt, A., Joshipura, M., & Joshipura, N. (2022). Decoding the trinity of Fintech, digitalization and financial services: An integrated bibliometric analysis and thematic literature review approach. Cogent Economics & Finance, 10 (1), 2114160.
Carè, R., Boitan, I. A., & Fatima, R. (2023). How do FinTech companies contribute to the achievement of SDGs? Insights from case studies. Research in International Business and Finance, 66 , 102072.
Chinoda, T., & Mashamba, T. (2021). Fintech, financial inclusion and income inequality nexus in Africa. Cogent Economics & Finance, 9 (1), 1986926. https://doi.org/10.1080/23322039.2021.1986926
Chowdhury, E. K., & Chowdhury, R. (2023). Role of financial inclusion in human development: Evidence from Bangladesh, India and Pakistan. Journal of the Knowledge Economy , 1–26. https://doi.org/10.1007/s13132-023-01366-x
Chung, S., Kim, K., Lee, C. H., & Oh, W. (2023). Interdependence between online peer-to-peer lending and cryptocurrency markets and its effects on financial inclusion. Production and Operations Management, 32 (6), 1939–1957.
Coffie, C. P. K., & Hongjiang, Z. (2023). FinTech market development and financial inclusion in Ghana: The role of heterogeneous actors. Technological Forecasting and Social Change, 186 , 122127.
Comerio, N., & Strozzi, F. (2019). Tourism and its economic impact: A literature review using bibliometric tools. Tourism Economics, 25 (1), 109–131. https://doi.org/10.1177/1354816618793762
Danladi, S., Prasad, M. S. V., Modibbo, U. M., Ahmadi, S. A., & Ghasemi, P. (2023). Attaining Sustainable Development Goals through financial inclusion: Exploring collaborative approaches to fintech adoption in developing economies. Sustainability, 15 (17), 13039.
David-West, O., Iheanachor, N., & Umukoro, I. (2020). Sustainable business models for the creation of mobile financial services in Nigeria. Journal of Innovation & Knowledge, 5 (2), 105–116.
Di Vaio, A., Hassan, R., & Palladino, R. (2023). Blockchain technology and gender equality: A systematic literature review. International Journal of Information Management, 68 , 102517.
Dong, Y., Chung, M., Zhou, C., & Venkataraman, S. (2018). Banking on “mobile money”: The implications of mobile money services on the value chain. Manufacturing & Service Operations Management , 21(2). https://doi.org/10.1287/msom.2018.0717
Ellili, N. O. D. (2023). Is there any association between FinTech and sustainability? Evidence from bibliometric review and content analysis. Journal of Financial Services Marketing, 28 (4), 748–762.
Fu, J., & Mishra, M. (2022). Fintech in the time of COVID− 19: Technological adoption during crises. Journal of Financial Intermediation, 50 , 100945.
Gálvez-Sánchez, F. J., Lara-Rubio, J., Verdú-Jóver, A. J., & Meseguer-Sánchez, V. (2021). Research advances on financial inclusion: A bibliometric analysis. Sustainability, 13 (6), 3156.
GPFI. (2010). G20 Principles for innovative financial inclusion - executive brief. Accessed 18 November 2023. Available at: http://www.gpfi.org/publications/g20-principles-innovative-financial-inclusion-executive-brief
Gulati, A., & Singh, S. (2024). Financial self-efficacy of consumers: A review and research agenda. International Journal of Consumer Studies, 48 (2), e13024.
Gupta, S., Yun, H., Xu, H., & Kim, H. W. (2017). An exploratory study on mobile banking adoption in Indian metropolitan and urban areas: A scenario-based experiment. Information Technology for Development, 23 (1), 127–152.
Han, H., & Gu, X. (2021). Linkage between inclusive digital finance and high-tech enterprise innovation performance: Role of debt and equity financing. Frontiers in Psychology, 12 , 814408.
Hasan, M., Le, T., & Hoque, A. (2021). How does financial literacy impact on inclusive finance? Financial Innovation, 7 (1), 1–23.
Hasan, M., Noor, T., Gao, J., Usman, M., & Abedin, M. Z. (2023). Rural consumers’ financial literacy and access to FinTech services. Journal of the Knowledge Economy, 14 (2), 780–804.
Hashemizadeh, A., Ashraf, R. U., Khan, I., & Zaidi, S. A. H. (2023). Digital financial inclusion, environmental quality, and economic development: the contributions of financial development and investments in OECD countries. Environmental Science and Pollution Research, 30 (54), 116336–116347. https://doi.org/10.1007/s11356-023-30275-4
Hulland, J., & Houston, M. B. (2020). Why systematic review papers and meta-analyses matter: An introduction to the special issue on generalizations in marketing. Journal of the Academy of Marketing Science, 48 , 351–359. https://doi.org/10.1007/s11747-020-00721-7
Hwa, G. (2019). Global FinTech Adoption Index 2019. Accessed on 1 October 2023. Available at https://assets.ey.com/content/dam/ey-sites/ey-com/en_gl/topics/banking-and-capital-markets/ey-global-fintech-adoption-index.pdf
Iheanachor, N., David-West, Y., & Umukoro, I. O. (2021). Business model innovation at the bottom of the pyramid–A case of mobile money agents. Journal of Business Research, 127 , 96–107.
Karim, Z. A., Nizam, R., Law, S. H., & Hassan, M. K. (2022). Does financial inclusiveness affect economic growth? New evidence using a dynamic panel threshold regression. Finance Research Letters, 46 , 102364.
Kemal, A. A. (2019). Mobile banking in the government-to-person payment sector for financial inclusion in Pakistan. Information Technology for Development, 25 (3), 475–502.
Khando, K., Islam, M. S., & Gao, S. (2022). The emerging technologies of digital payments and associated challenges: A systematic literature review. Future Internet, 15 (1), 21.
Kim, M., Zoo, H., Lee, H., & Kang, J. (2018). Mobile financial services, financial inclusion, and development: A systematic review of academic literature. The Electronic Journal of Information Systems in Developing Countries, 84 (5), e12044.
Koomson, I., Martey, E., & Etwire, P. M. (2023). Mobile money and entrepreneurship in East Africa: The mediating roles of digital savings and access to digital credit. Information Technology & People, 36 (3), 996–1019.
Lagna, A., & Ravishankar, M. N. (2022). Making the world a better place with fintech research. Information Systems Journal, 32 (1), 61–102.
Latif, N., Safdar, N., Liaquat, M., Younas, K., Nazeer, N., & Rafeeq, R. (2023). The role of institutional quality in assessing the environmental externality of financial inclusion: A DCCE approach. Frontiers in Environmental Science, 11 , 65.
Lee, C. C., Lou, R., & Wang, F. (2023). Digital financial inclusion and poverty alleviation: Evidence from the sustainable development of China. Economic Analysis and Policy, 77 , 418–434.
Li, J., Wei, R., & Guo, Y. (2022). How can the financing constraints of SMEs be eased in China?-Effect analysis, heterogeneity test and mechanism identification based on digital inclusive finance. Frontiers in Environmental Science, 10 , 949164.
Lim, W. M., Yap, S.-F., & Makkar, M. (2021). Home sharing in marketing and tourism at a tipping point: What do we know, how do we know, and where should we be heading? Journal of Business Research, 122 (September 2020), 534–566. https://doi.org/10.1016/j.jbusres.2020.08.051
Liu, X., Zhan, F. B., Hong, S., Niu, B., & Liu, Y. (2012). A bibliometric study of earthquake research: 1900–2010. Scientometrics, 92 (3), 747–765. https://doi.org/10.1007/s11192-011-0599-z
Liu, S., Gao, L., Latif, K., Dar, A. A., Zia-UR-Rehman, M., & Baig, S. A. (2021). The behavioral role of digital economy adaptation in sustainable financial literacy and financial inclusion. Frontiers in Psychology, 12 , 742118.
Liu, A., Urquía-Grande, E., López-Sánchez, P., & Rodríguez-López, Á. (2023). Research into microfinance and ICTs: A bibliometric analysis. Evaluation and Program Planning, 97 , 102215.
Louman, B., Girolami, E. D., Shames, S., Primo, L. G., Gitz, V., Scherr, S. J., & Brady, M. (2022). Access to landscape finance for small-scale producers and local communities: A literature review. Land, 11 (9), 1444.
Mapanje, O., Karuaihe, S., Machethe, C., & Amis, M. (2023). Financing sustainable agriculture in sub-Saharan Africa: A review of the role of financial technologies. Sustainability, 15 (5), 4587.
Michael, B., Koroleska, N., Tai, A., & Wong, D. W. H. (2022). A critical look at using financial technology policy to promote the sustainable development goals. Sustainable Development, 30 (6), 1911–1920.
Mishra, V., & Bisht, S. S. (2013). Mobile banking in a developing economy: A customer-centric model for policy formulation. Telecommunications Policy, 37 (6–7), 503–514.
Morgan, P. J. (2022). Fintech and financial inclusion in Southeast Asia and India. Asian Economic Policy Review, 17 (2), 183–208.
Mpofu, F. Y. (2022). Industry 4.0 in financial services: Mobile money taxes, revenue mobilisation, financial inclusion, and the realisation of sustainable development goals (SDGs) in Africa. Sustainability, 14 (14), 8667.
N’dri, L. M., & Kakinaka, M. (2020). Financial inclusion, mobile money, and individual welfare: The case of Burkina Faso. Telecommunications Policy, 44 (3), 101926.
Niankara, I. (2023). The impact of financial inclusion on digital payment solution uptake within the Gulf Cooperation Council Economies. International Journal of Innovation Studies, 7 (1), 1–17.
Ozili, P. K. (2018). Impact of digital finance on financial inclusion and stability. Borsa Istanbul Review, 18 (4), 329–340.
Pal, A., De’, R., & Herath, T. (2020). The role of mobile payment technology in sustainable and human-centric development: Evidence from the post-demonetization period in India. Information Systems Frontiers, 22 , 607–631.
Paul, J., & Barari, M. (2022). Meta-analysis and traditional systematic literature reviews—What, why, when, where, and how? Psychology & Marketing, 39 (6), 1099–1115. https://doi.org/10.1002/mar.21657
Paul, J., & Criado, A. R. (2020). The art of writing literature review: What do we know and what do we need to know? International Business Review, 29 (4), 101717. https://doi.org/10.1016/j.ibusrev.2020.101717
Paul, J., & Rosado-Serrano, A. (2019). Gradual Internationalization vs Born-Global/International new venture models: A review and research agenda. International Marketing Review, 36 (6), 830–858. https://doi.org/10.1108/IMR-10-2018-0280
Paul, J., Lim, W. M., O’Cass, A., Hao, A. W., & Bresciani, S. (2021a). Scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR). International Journal of Consumer Studies, 45 (45), 1–16. https://doi.org/10.1111/ijcs.12695
Paul, J., Merchant, A., Dwivedi, Y. K., & Rose, G. (2021b). Writing an impactful review article: What do we know and what do we need to know? Journal of Business Research, 133 , 337–340. https://doi.org/10.1016/j.jbusres.2021.05.005
Paul, J., Khatri, P., & Kaur Duggal, H. (2023). Frameworks for developing impactful systematic literature reviews and theory building: What, Why and How?. Journal of Decision Systems , 1–14. https://doi.org/10.1080/12460125.2023.2197700
Pittaway, L., Holt, R., & Broad, J. (2014). Synthesising knowledge in entrepreneurship research-The role of systematic literature reviews. In Handbook of research on small business and entrepreneurship (pp. 83–105). Edward Elgar Publishing. https://doi.org/10.4337/9781849809245.00014
Pradhan, R. P., Arvin, M. B., Nair, M. S., Hall, J. H., & Bennett, S. E. (2021). Sustainable economic development in India: The dynamics between financial inclusion, ICT development, and economic growth. Technological Forecasting and Social Change, 169 , 120758.
Puschmann, T. (2017). Fintech. Business & Information Systems Engineering, 59 , 69–76. https://doi.org/10.1007/s12599-017-0464-6
Raksmey, U., Lin, C. Y., & Kakinaka, M. (2022). Macroprudential regulation and financial inclusion: Any difference between developed and developing countries? Research in International Business and Finance, 63 , 101759.
Rohman, P. S., Fianto, B. A., Shah, S. A. A., Kayani, U. N., Suprayogi, N., & Supriani, I. (2021). A review on literature of Islamic microfinance from 2010–2020: Lesson for practitioners and future directions. Heliyon, 7 (12). https://doi.org/10.1016/j.heliyon.2021.e08549
Roy, P., & Patro, B. (2022). Financial inclusion of women and gender gap in access to finance: A systematic literature review. Vision, 26 (3), 282–299.
Sahabuddin, M., Sakib, M. N., Rahman, M. M., Jibir, A., Fahlevi, M., Aljuaid, M., & Grabowska, S. (2023). The evolution of FinTech in scientific research: A bibliometric analysis. Sustainability, 15 (9), 7176.
Schilling, L., & Seuring, S. (2023). Mobile financial service-enabled micro-businesses driving sustainable value creation in emerging markets. Technological Forecasting and Social Change, 192 , 122596.
Senyo, P. K., & Osabutey, E. L. (2020). Unearthing antecedents to financial inclusion through FinTech innovations. Technovation, 98 , 102155.
Senyo, P. K., Karanasios, S., Gozman, D., & Baba, M. (2022). FinTech ecosystem practices shaping financial inclusion: The case of mobile money in Ghana. European Journal of Information Systems, 31 (1), 112–127.
Setiawan, B., Phan, T. D., Medina, J., Wieriks, M., Nathan, R. J., & Fekete-Farkas, M. (2023). Quest for financial inclusion via digital financial services (Fintech) during COVID-19 pandemic: Case study of women in Indonesia. Journal of Financial Services Marketing , 1–15. https://doi.org/10.1057/s41264-023-00217-9
Shaikh, A. A., Glavee-Geo, R., Karjaluoto, H., & Hinson, R. E. (2023). Mobile money as a driver of digital financial inclusion. Technological Forecasting and Social Change, 186 , 122158.
Sharma, R., Kamble, S., Gupta, S., Belhadi, A., Rana, N. P., & Kumar, K. (2023). Interlinkages between digital-social entrepreneurship and technological capabilities for sustainable value creation. Journal of Global Information Management (JGIM), 31 (1), 1–26.
Siddik, A. B., Rahman, M. N., & Yong, L. (2023). Do fintech adoption and financial literacy improve corporate sustainability performance? The mediating role of access to finance. Journal of Cleaner Production , 421 , 137658. https://doi.org/10.1016/j.jclepro.2023.137658
Soetan, T. O., Mogaji, E., & Nguyen, N. P. (2021). Financial services experience and consumption in Nigeria. Journal of Services Marketing, 35 (7), 947–961.
Sultana, N., Chowdhury, R. S., & Haque, A. (2023). Gravitating towards Fintech: A study on undergraduates using extended UTAUT model. Heliyon, 9 (10). https://doi.org/10.1016/j.heliyon.2023.e2073
Tay, L. Y., Tai, H. T., & Tan, G. S. (2022). Digital financial inclusion: A gateway to sustainable development. Heliyon 8 (6). https://doi.org/10.1016/j.heliyon.2022.e09766
Tepe, G., Geyikci, U. B., & Sancak, F. M. (2021). Fintech companies: A bibliometric analysis. International Journal of Financial Studies, 10 (1), 2.
Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14 (3), 207–222.
Truby, J. (2020). Fintech and the city: Sandbox 2.0 policy and regulatory reform proposals. International Review of Law, Computers & Technology , 34 (3), 277–309. https://doi.org/10.1080/13600869.2018.1546542
Úbeda, F., Mendez, A., & Forcadell, F. J. (2023). The sustainable practices of multinational banks as drivers of financial inclusion in developing countries. Finance Research Letters, 51 , 103278.
UNSGSA. (2018) Igniting SDG progress through digital financial inclusion. Accessed on 7 October 2023. Available online: https://sustainabledevelopment.un.org/index.php?page=view&type=400&nr=2655&menu=1515
Vasile, V., Panait, M., & Apostu, S. A. (2021). Financial inclusion paradigm shift in the post pandemic period. Digital-divide and gender gap. International Journal of Environmental Research and Public Health, 18 (20), 10938.
Wang, L., Wu, Y., Huang, Z., & Wang, Y. (2022). How big data drives green economic development: Evidence from China. Frontiers in Environmental Science, 10 , 1055162.
Xue, L., Dong, J., & Zha, Y. (2023). How does digital finance affect firm environmental, social and governance (ESG) performance?—Evidence from Chinese listed firms. Heliyon, 9 (10). https://doi.org/10.1016/j.heliyon.2023.e20800
Yang, L., Chen, Z., Liu, T., Gong, Z., Yu, Y., & Wang, J. (2013). Global trends of solid waste research from 1997 to 2011 by using bibliometric analysis. Scientometrics, 96 (1), 133–146. https://doi.org/10.1007/s11192-012-0911-6
Zerucha, T. (2023, May 05). “ The key factors driving financial inclusion”: Fintech Nexus. Accessed on May 28, 2024. https://www.fintechnexus.com/the-key-factors-driving-financial-inclusion/
Download references
Authors and affiliations.
I.K. Gujral Punjab Technical University, Kapurthala, Punjab, India
Kriti Kishor & Sanjeev K. Bansal
Banaras Hindu University, Varanasi, India
Roshan Kumar
You can also search for this author in PubMed Google Scholar
All authors made contributions to the conceptualisation and design of this study. The authors collaborated as a team to carry out material preparation, SLR data collection, and analysis. The initial version of the paper had been written by the collective team of authors, who actively engaged in providing feedback. The final manuscript was read and approved by every author.
Correspondence to Kriti Kishor .
Conflict of interest.
The authors declare no competing interests.
Publisher's note.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Reprints and permissions
Kishor, K., Bansal, S.K. & Kumar, R. The Role of Fintech in Promoting Financial Inclusion to Achieve Sustainable Development: An Integrated Bibliometric Analysis and Systematic Literature Review. J Knowl Econ (2024). https://doi.org/10.1007/s13132-024-02168-5
Download citation
Received : 03 April 2024
Accepted : 14 June 2024
Published : 03 July 2024
DOI : https://doi.org/10.1007/s13132-024-02168-5
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
Please note you do not have access to teaching notes, lean thinking and risk management in healthcare organizations: a systematic literature review and research agenda.
International Journal of Quality & Reliability Management
ISSN : 0265-671X
Article publication date: 1 July 2024
Healthcare organizations have been facing challenges due to high costs and low efficiency in health services. The growth of costs and losses caused by avoidable mistakes lead to the search for solutions, and Health Lean Management appears as a potential solution to help in solving service quality problems, as well as reducing risks. This study aims to analyse the state of the art in the literature centred on the Lean approach in the context of risk management in healthcare organizations, and to identify new research opportunities, highlighting possible lines of future research.
Following a systematic literature review approach, 51 papers were considered relevant for this research, and reviewed to explore the development of literature in this area.
Based on the results, five main research streams were identified: (1) risk management oriented towards patient safety; (2) risk management oriented towards employee safety; (3) importance of attitudes and behaviours in risk reduction projects; (4) Lean tools used in healthcare risk management and (5) Integration of approaches. Moreover, several shortcomings were identified in literature.
Identified shortcomings represent significant opportunities for further research development.
This paper is financed by National Funds of the FCT – Portuguese Foundation for Science and Technology [FCT: Fundação para a Ciência e a Tecnologia] within the project «UIDB/04007/2020».
Mendes, L. and França, G. (2024), "Lean thinking and risk management in healthcare organizations: a systematic literature review and research agenda", International Journal of Quality & Reliability Management , Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJQRM-06-2023-0210
Emerald Publishing Limited
Copyright © 2024, Emerald Publishing Limited
All feedback is valuable.
Please share your general feedback
Contact Customer Support
IMAGES
VIDEO
COMMENTS
Literature Review. The structure of a literature review should include the following: An overview of the subject, issue or theory under consideration, along with the objectives of the literature review, Division of works under review into themes or categories (e.g. works that support of a particular position, those against, and those offering ...
Literature Review and Research Design by Dave Harris This book looks at literature review in the process of research design, and how to develop a research practice that will build skills in reading and writing about research literature--skills that remain valuable in both academic and professional careers. Literature review is approached as a process of engaging with the discourse of scholarly ...
Examples of literature reviews. Step 1 - Search for relevant literature. Step 2 - Evaluate and select sources. Step 3 - Identify themes, debates, and gaps. Step 4 - Outline your literature review's structure. Step 5 - Write your literature review.
A literature review may consist of simply a summary of key sources, but in the social sciences, a literature review usually has an organizational pattern and combines both summary and synthesis, often within specific conceptual categories.A summary is a recap of the important information of the source, but a synthesis is a re-organization, or a reshuffling, of that information in a way that ...
A literature review is an integrated analysis-- not just a summary-- of scholarly writings and other relevant evidence related directly to your research question. That is, it represents a synthesis of the evidence that provides background information on your topic and shows a association between the evidence and your research question.
Writing a literature review requires a range of skills to gather, sort, evaluate and summarise peer-reviewed published data into a relevant and informative unbiased narrative. Digital access to research papers, academic texts, review articles, reference databases and public data sets are all sources of information that are available to enrich ...
In writing the literature review, your purpose is to convey to your reader what knowledge and ideas have been established on a topic, and what their strengths and weaknesses are. As a piece of writing, the literature review must be defined by a guiding concept (e.g., your research objective, the problem or issue you are discussing, or your ...
he simplest thing of all—structure. Everything you write has three components: a beginning, a middle and an e. d and each serves a different purpose. In practice, this means your review will have an introduction, a main body where you review the literature an. a conclusion where you tie things up.
A literature review is a critical analysis and synthesis of existing research on a particular topic. It provides an overview of the current state of knowledge, identifies gaps, and highlights key findings in the literature. 1 The purpose of a literature review is to situate your own research within the context of existing scholarship ...
According to the seventh edition of the APA Publication Manual, a literature review is "a critical evaluation of material that has already been published." As one embarks on creating a literature review, it is important to note that the grouping of components within a literature review can be arranged according to the author's discretion ...
Abstract. Performing a literature review is a critical first step in research to understanding the state-of-the-art and identifying gaps and challenges in the field. A systematic literature review is a method which sets out a series of steps to methodically organize the review. In this paper, we present a guide designed for researchers and in ...
When seeking information for a literature review or for any purpose, it helps to understand information-seeking as a process that you can follow. 5 Each of the six (6) steps has its own section in this web page with more detail. Do (and re-do) the following six steps: 1. Define your topic.
Step 8: The literature review in your thesis. This last step reveals what criteria are used to evaluate the literature review in your own thesis: synthesis, critical appraisal, and application to the research question. I also explain what your literature should not look like and why a good literature review helps you to get papers published.
Literature reviews play a critical role in scholarship because science remains, first and foremost, a cumulative endeavour (vom Brocke et al., 2009). As in any academic discipline, rigorous knowledge syntheses are becoming indispensable in keeping up with an exponentially growing eHealth literature, assisting practitioners, academics, and graduate students in finding, evaluating, and ...
What is a Literature review; The Factors involved and its Development. A literature review is an exhaustive appraisal of all the valid literature in a field of study that seeks to understand the development of knowledge in the field. In doing so, it provides an explanation, interpretation, summary, and critical assessment of the knowledge of the field with respect to the research question in ...
What is a literature review? A literature review is a piece of academic writing demonstrating knowledge and understanding of the academic literature on a specific topic placed in context. A literature review also includes a critical evaluation of the material; this is why it is called a literature review rather than a literature report. It is a ...
Contexts in source publication. Context 1. ... three steps of the proposed literature review process are: 1) Inputs, 2) Processing, and 3) Outputs. Figure 1 provides an overall view of the process ...
Research Guides: Writing a Literature Review: 6 Stages to Writing a Literature Review
These depart from the different stages of conducting a literature review and should be broad enough to encompass most types of literature reviews. However, of importance is that when evaluating an individual review, specific standards for the type of review must be examined to assess whether the review meets the criteria for rigor and depth ...
Given the widespread use of the terms 'resilience' and 'development' on topics not relevant to this review, study titles were assessed and included for the second stage of title and abstract screening if they 1) were published (or posted/dated) between January 2008 and November 2020; 2) focused on a study area restricted to a low or ...
This chapter provides an overview of the existing models of NPD, and is divided into two main sections. The initial section focuses on generic models of NPD, beginning with a discussion of stage and activity based models, which includes a summary of some key and widely recognised models in the literature. Weaknesses of these types of models are ...
Literature reviews in international development: from orthodox to systematic 3 Shortcomings of orthodox literature reviews 3; Systematic reviews in development studies 4; What the process looks like and how it works 6 Stage 1: Setting the research question 7; Stage 2: Writing a protocol 8; Stage 3: Setting the inclusion/exclusion criteria 8
Abstract. This review lists a series of scientific articles and books describing the various stages of plants under development and they are useful to professionals working under field conditions ...
Using a systematic literature review (SLR) method, pertinent journal articles published over the past 3 decades were retrieved and analyzed. Based on the review process, 44 papers were identified and analyzed by publication year, journal distribution, research method, and lead author.
Literature review. Technology in education improves and advances instruction, teaching, and learning in modern life. Students' attitudes toward learning have been observed to improve with the usage of information and communication technology (Lazar & Panisoara, Citation 2018; Lieshout et al., Citation 2018; Yoo, Citation 2016).The use of VR in education creates an interactive computer ...
The authors have included similar studies within this literature review for further interest. ... The second step of a successful outreach program is the development and implementation stage. Once ideas are promising, it is important to continue to repeat and build upon them. In 2018 sprouting occurred again, and the OkraOut committee met to ...
This article's structure is as follows: Section "Literature review" reviews the relevant literature, focusing primarily on MCDM techniques, cumulative prospect theory, and fuzzy set theory.
The systematization shows what aspects constitute the dark side of ASD, emphasizing its multidimensional nature along issues such as reduced developer well-being, product quality and development productivity. The analysis of how its complexity is defined reveals that customer misbehavior and delivery pressure are significant origins of other issues.
Fintech's ability to enhance efficiency and reduce costs in financial services can promote greater financial inclusion (FI), which in turn serves as a foundation for sustainable and equitable development. Due to the dearth of thorough summaries in the body of existing literature, this systematic review and bibliometric analysis aim to present quantitative and qualitative information about ...
This study aims to analyse the state of the art in the literature centred on the Lean approach in the context of risk management in healthcare organizations, and to identify new research opportunities, highlighting possible lines of future research.,Following a systematic literature review approach, 51 papers were considered relevant for this ...