Informatica logo


Login Register

  1. Home
  2. To appear
  3. Enhancing Green Energy Investments throu ...

Informatica

Information Submit your article For Referees Help ATTENTION!
  • Article info
  • Full article
  • More
    Article info Full article

Enhancing Green Energy Investments through Customer-Centric Innovation Strategies
Peide Liu   Hasan Dinçe   Serhat Yüksel  

Authors

 
Placeholder
https://doi.org/10.15388/26-INFOR626
Pub. online: 2 April 2026      Type: Research Article      Open accessOpen Access

Received
1 November 2025
Accepted
1 March 2026
Published
2 April 2026

Abstract

The purpose of this study is to evaluate the significant dimensions of customer-centric innovation in renewable energy projects. We construct a novel fuzzy decision-making model to address this objective. In the first stage, significant indicators are identified using balanced scorecard-based determinants and weighted through the multi-step wise weight assessment ratio analysis (M-SWARA) method integrated with quantum spherical fuzzy sets. In the second stage, the energy efficiency of renewable energy alternatives is assessed for customer-centric innovation performance via technique for order preference by similarity to ideal solution (TOPSIS). We offer priority strategies for green energy investors to enhance customer-centric innovation with more reasonable costs. Methodologically, the proposed model provides important advantages by effectively handling uncertainty through quantum spherical fuzzy structures, incorporating the golden ratio in degree calculations, and capturing interdependencies among criteria through the improved M-SWARA approach. The findings reveal that customization is the most critical indicator for improving customer-centric innovation performance, followed by efficiency, while optimization and innovation have relatively lower importance. The ranking results indicate that solar energy projects demonstrate the highest performance in managing customer-centric innovation, followed by wind and geothermal energy alternatives.

References

 
Abbasi, K.R., Shahbaz, M., Zhang, J., Irfan, M., Alvarado, R. (2022). Analyze the environmental sustainability factors of China: the role of fossil fuel energy and renewable energy. Renewable Energy, 187, 390–402.
 
Abedrabboh, O., Koç, M., Biçer, Y. (2022). Modelling and analysis of a renewable energy-driven climate-controlled sustainable greenhouse for hot and arid climates. Energy Conversion and Management, 273, 116412.
 
Agarwal, S., Kant, R., Shankar, R. (2022). Exploring sustainability balanced scorecard for performance evaluation of humanitarian organizations. Cleaner Logistics and Supply Chain, 3, 100026.
 
Aksoy, T., Yüksel, S., Dınçer, H., Hacioglu, U., Maialeh, R. (2022). Complex fuzzy assessment of green flight activity investments for sustainable aviation industry. IEEE Access, 10, 127297–127312.
 
Amin, M., Shah, H.H., Fareed, A.G., Khan, W.U., Chung, E., Zia, A., Farooqi, Z.U.R., Lee, C. (2022). Hydrogen production through renewable and non-renewable energy processes and their impact on climate change. International Journal of Hydrogen Energy, 47, 33112–33134.
 
Ang, Y.Q., Polly, A., Kulkarni, A., Chambi, G.B., Hernandez, M., Haji, M.N. (2022). Multi-objective optimization of hybrid renewable energy systems with urban building energy modeling for a prototypical coastal community. Renewable Energy, 201, 72–84.
 
Aragón, G., Pandian, V., Krauß, V., Werner-Kytölä, O., Thybo, G., Pautasso, E. (2022). Feasibility and economic analysis of energy storage systems as enabler of higher renewable energy sources penetration in an existing grid. Energy, 251, 123889.
 
Ashraf, S., Abdullah, S., Mahmood, T., Ghani, F., Mahmood, T. (2019). Spherical fuzzy sets and their applications in multi-attribute decision making problems. Journal of Intelligent & Fuzzy Systems, 36(3), 2829–2844.
 
Bedi, P., Goyal, S.B., Rajawat, A.S., Shaw, R.N., Ghosh, A. (2022). Application of AI/IoT for smart renewable energy management in smart cities. In: AI and IoT for Smart City Applications. Springer, Singapore, pp. 115–138.
 
Benmouna, A., Becherif, M., Boulon, L., Dépature, C., Ramadan, H.S. (2021). Efficient experimental energy management operating for FC/battery/SC vehicles via hybrid artificial neural networks-passivity based control. Renewable Energy, 178, 1291–1302.
 
Best, R., Chareunsy, A., Li, H. (2021). Equity and effectiveness of Australian small-scale solar schemes. Ecological Economics, 180, 106890.
 
Brown, J., Abate, A., Rogers, A. (2021). Disaggregation of household solar energy generation using censored smart meter data. Energy and Buildings, 231, 110617.
 
Cheekatamarla, P.K., Sharma, V., Shrestha, S. (2022). Energy-efficient building technologies. In: Advanced Nanomaterials and Their Applications in Renewable Energy. Elsevier, pp. 3–33.
 
Cirocco, L., Pudney, P., Riahi, S., Liddle, R., Semsarilar, H., Hudson, J., Bruno, F. (2022). Thermal energy storage for industrial thermal loads and electricity demand side management. Energy Conversion and Management, 270, 116190.
 
Dinçer, H., Yüksel, S. (2018). Financial sector-based analysis of the G20 economies using the integrated decision-making approach with DEMATEL and TOPSIS. In: Emerging Trends in Banking and Finance. Springer, Cham, pp. 210–223.
 
Elavarasan, R.M., Leoponraj, S., Vishnupriyan, J., Dheeraj, A., Sundar, G.G. (2021). Multi-criteria decision analysis for user satisfaction-induced demand-side load management for an institutional building. Renewable Energy, 170, 1396–1426.
 
Elbanna, S., Kamel, H., Fatima, T., Eid, R. (2022). An investigation of the causality links in the balanced scorecard: the case of the Gulf Cooperation Council hospitality industry. Tourism Management Perspectives, 41, 100934.
 
Gunarathna, C.L., Yang, R.J., Jayasuriya, S., Wang, K. (2022). Reviewing global peer-to-peer distributed renewable energy trading projects. Energy Research & Social Science, 89, 102655.
 
Haq, E.U., Lyu, C., Xie, P., Yan, S., Ahmad, F., Jia, Y. (2022). Implementation of home energy management system based on reinforcement learning. Energy Reports, 8, 560–566.
 
Härkönen, K., Hannola, L., Pyrhönen, O. (2022). Advancing the smart city objectives of electric demand management and new services to residents by home automation—learnings from a case. Energy Efficiency, 15(5), 1–13.
 
Hu, X., Guo, Y., Zheng, Y., Liu, L.C., Yu, S. (2022). Which types of policies better promote the development of renewable energy? Evidence from China’s provincial data. Renewable Energy, 198, 1373–1382.
 
Kafka, K.I., Dinçer, H., Yüksel, S. (2024). Impact-relation map of innovative service development regarding the sustainable growth for emerging markets. Journal of the Knowledge Economy, 15, 180–203.
 
Kaplan, R.S., Norton, D.P. (2007). Balanced scorecard. In: Das Summa Summarum des Management. Gabler. 137–148.
 
Kaplan, R.S., Norton, D.P. (2015). Balanced Scorecard Success: The Kaplan-Norton Collection. Harvard Business Review Press.
 
Kutlu Gündoğdu, F., Kahraman, C. (2020). Spherical fuzzy sets and decision making applications. In: Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making: Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23–25, 2019. Springer International Publishing, pp. 979–987.
 
Lankeshwara, G., Sharma, R., Yan, R., Saha, T.K. (2022). Control algorithms to mitigate the effect of uncertainties in residential demand management. Applied Energy, 306, 117971.
 
Liu, P., Wang, D. (2022). An extended taxonomy method based on normal T-spherical fuzzy numbers for multiple-attribute decision-making. International Journal of Fuzzy Systems, 24(1), 73–90.
 
Lorente, D.B., Mohammed, K.S., Cifuentes-Faura, J., Shahzad, U. (2023). Dynamic connectedness among climate change index, green financial assets and renewable energy markets: novel evidence from sustainable development perspective. Renewable Energy, 204, 94–105.
 
Lotfabadi, A.K., Hajinezhad, A., Kasaeian, A., Moosavian, S.F. (2022). Energetic, economic, environmental and climatic analysis of a solar combisystem for different consumption usages with PSI method ranking. Renewable Energy, 197, 178–196.
 
Mardani, A., Nilashi, M., Zakuan, N., Loganathan, N., Soheilirad, S., Saman, M.Z.M., Ibrahim, O. (2017). A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments. Applied Soft Computing, 57, 265–292.
 
Mellouk, L., Ghazi, M., Aaroud, A., Boulmalf, M., Benhaddou, D., Zine-Dine, K. (2019). Design and energy management optimization for hybrid renewable energy system-case study: Laayoune region. Renewable Energy, 139, 621–634.
 
Mio, C., Costantini, A., Panfilo, S. (2022). Performance measurement tools for sustainable business: a systematic literature review on the sustainability balanced scorecard use. Corporate Social Responsibility and Environmental Management, 29(2), 367–384.
 
Mojumder, M.R.H., Hasanuzzaman, M., Cuce, E. (2022). Prospects and challenges of renewable energy-based microgrid system in Bangladesh: a comprehensive review. Clean Technologies and Environmental Policy, 24(7), 1987–2009.
 
Mostafa, N., Ramadan, H.S.M., Elfarouk, O. (2022). Renewable energy management in smart grids by using big data analytics and machine learning. Machine Learning with Applications, 9, 100363.
 
Mungai, E.M., Ndiritu, S.W., Da Silva, I. (2022). Unlocking climate finance potential and policy barriers—a case of renewable energy and energy efficiency in Sub-Saharan Africa. Resources, Environment and Sustainability, 7, 100043.
 
Munir, M., Mahmood, T., Hussain, A. (2021). Algorithm for T-spherical fuzzy MADM based on associated immediate probability interactive geometric aggregation operators. Artificial Intelligence Review, 54(8), 6033–6061.
 
Nair, V.M., Ameer, A., Toms, A.A., Prasanth, N.S., Sreekumar, V., Sreekumar, M. (2022). Role of artificial intelligence in demand management system for houses. In: Innovations in Computer Science and Engineering. Springer, Singapore, pp. 407–415.
 
Oliinyk, M., Džmura, J., Kolcun, M., Humenik, J., Kanalik, M., Pavlik, M., Pál, D., Medved’, D. (2022). Impact of electric vehicles and demand management systems on electrical distribution networks. Electrical Engineering, 104(2), 667–680.
 
Piano, S.L., Smith, S.T. (2022). Energy demand and its temporal flexibility: approaches, criticalities and ways forward. Renewable and Sustainable Energy Reviews, 160, 112249.
 
Rajan, P., Jeevananthan, S. (2022). Towards energy sustainability-domestic power station, tariff acquiescent EMS and procedure to rejuvenate petrol scooter into electric scooter for accelerated participation of rural consumers in energy demand management. IEEE Journal of Emerging and Selected Topics in Power Electronics, 114, 4442–4452.
 
Rusu, E. (2022). Assessment of the wind power dynamics in the North Sea under climate change conditions. Renewable Energy, 195, 466–475.
 
Siddiqui, S.A., Ahmad, M.O., Ahmed, J. (2022). Smart home for efficient energy management. In: Smart Technologies for Energy and Environmental Sustainability. Springer, Cham, pp. 97–103.
 
Suman, A. (2021). Role of renewable energy technologies in climate change adaptation and mitigation: a brief review from Nepal. Renewable and Sustainable Energy Reviews, 151, 111524.
 
Tang, R., Fan, C., Zeng, F., Feng, W. (2022). Data-driven model predictive control for power demand management and fast demand response of commercial buildings using support vector regression. Building Simulation, 15(3), 317–331.
 
Thirunavukkarasu, G.S., Seyedmahmoudian, M., Jamei, E., Horan, B., Mekhilef, S., Stojcevski, A. (2022). Role of optimization techniques in microgrid energy management systems—a review. Energy Strategy Reviews, 43, 100899.
 
Timilsina, G.R. (2021). Are renewable energy technologies cost competitive for electricity generation? Renewable Energy, 180, 658–672.
 
Torkan, R., Ilinca, A., Ghorbanzadeh, M. (2022). A genetic algorithm optimization approach for smart energy management of microgrids. Renewable Energy, 197, 852–863.
 
Wei, J., Zhang, Y., Wang, J., Wu, L., Zhao, P., Jiang, Z. (2022). Decentralized demand management based on alternating direction method of multipliers algorithm for industrial park with CHP units and thermal storage. Journal of Modern Power Systems and Clean Energy, 10(1), 120–130.
 
Xu, X., Yüksel, S., Dinçer, H. (2023). An integrated decision-making approach with golden cut and bipolar Q-ROFSs to renewable energy storage investments. International Journal of Fuzzy Systems, 25, 168–181.
 
Zahedi, R., Hasan Ghodusinejad, M., Aslani, A., Hachem-Vermette, C. (2022). Modelling community-scale renewable energy and electric vehicle management for cold-climate regions using machine learning. Energy Strategy Reviews, 43, 100930.

Biographies

Liu Peide
peide.liu@gmail.com

P. Liu received the BS and MS degrees in signal and information processing from Southeast University, Nanjing, China, in 1988 and 1991, respectively, and the PhD degree in information management from Beijng Jiaotong University, Beijing, China, in 2010. He is currently a professor with the School of Management Science and Engineering, Shandong University of Finance and Economics, Shandong, China. He is an associate editor of the IEEE Transactions on Fuzzy Systems, Information Sciences, the editorial board of the journal Technological and Economic Development of Economy, and the members of editorial board of the other 12 journals. He has authored or coauthored more than 400 publications. His research interests include aggregation operators, fuzzy logic, fuzzy decision making, and their applications.

Dinçe Hasan
hdincer@medipol.edu.tr

H. Dinçe is distinguished academician in the interdisciplinary fields of business and finance, holding the position of professor at Istanbul Medipol University in Turkey. He completed his BA and MA from Marmara University and later went on to receive his PhD from the same university. With extensive international experience, prof. Dincer has conducted research work at Hamburg University in Germany and served as a research professor at the University of Hertfordshire in the United Kingdom during the spring semester of 2019. He has also worked as a lecturer at Beykent University in Turkey from 2008 to 2015. He is currently an adjunct professor at Korea University and chief research fellow at Vilnius Gediminas Technical University. Prof. Dincer has a remarkable record of supervising theses at both the master’s and doctoral levels. He has supervised successful theses on various topics of engineering, environmental, and social sciences. With over 500 scientific articles to his name, many of which are indexed in high-impact journals like SSCI, SCI-Expanded, and Scopus, he has focused his research work on a range of topics such as soft computing, computer science, strategic management, innovation, sustainability, circular economy, decision making, as well as renewable energy investments, finance, and banking. Prof. Dincer currently serves as associate editor and editorial board membership of outstanding SSCI/SCI/Scopus Journals. Apart from being the executive editor of the International Journal of Finance and Banking Studies (IJFBS), prof. Dincer is also a founder member of the Society for the Study of Business and Finance (SSBF). He has also served as an editor of several books published by Springer, Emerald, and IGI Global. With exceptional teaching skills and academic achievements, prof. Dincer is highly respected in the academic community. His valuable contributions to the interdisciplinary field of environmental and social sciences make him an asset to Istanbul Medipol University and the academic community at large.

Yüksel Serhat
serhatyuksel@medipol.edu.tr

S. Yüksel is professor of finance at İstanbul Medipol University. Before this position, he worked as a senior internal auditor for seven years in Finansbank, Istanbul-Turkey and 1 year in Konya Food and Agriculture University as an assistant professor. Dr. Yüksel has a BS in business administration (in English) from Yeditepe University (2006) with full scholarship. He got his master degree from the economics in Boğaziçi University (2008). He also has a PhD in banking from Marmara University (2015). His research interests lie in energy economics, banking, finance and financial crisis. He has more than 500 scientific articles and some of them are indexed in SSCI, SCI, Scopus and Econlit. Also, he is the editor of some books that will be published by Springer and IGI Global.


Full article PDF XML
Full article PDF XML

Copyright
© 2026 Vilnius University
by logo by logo
Open access article under the CC BY license.

Keywords
green energy energy finance strategic innovation performance assessment

Metrics
since January 2020
129

Article info
views

87

Full article
views

34

PDF
downloads

18

XML
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
  • Copyright © 2023 Vilnius University

About

  • About journal

For contributors

  • OA Policy
  • Submit your article
  • Instructions for Referees
    •  

    •  

Contact us

  • Institute of Data Science and Digital Technologies
  • Vilnius University

    Akademijos St. 4

    08412 Vilnius, Lithuania

    Phone: (+370 5) 2109 338

    E-mail: informatica@mii.vu.lt

    https://informatica.vu.lt/journal/INFORMATICA
Powered by PubliMill  •  Privacy policy