Critical Success Factors Analysis (Fuzzy-DEMATEL) for Rural Technology Adoption Specific to CIFCL Rural Branches
Authors
Vaivaw Kumar Singh
Research Scholar, Faculty of Business Management, Sarala Birla University, Ranchi, Jharkhand, India (IN)
Kunal Sinha
Assistant Professor, Faculty of Commerce, Sarala Birla University, Ranchi, Jharkhand, India (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2025.1409000041
Subject Category: Business Management
Volume/Issue: 14/9 | Page No: 300-306
Publication Timeline
Submitted: 2025-10-02
Published: 2025-10-02
Abstract
Abstract: Rural technology adoption in emerging markets is still a very complicated problem with infrastructure, socio, economic, cultural and institutional barriers. In the case of rural financial service providers like CIFCL (Cholamandalam Investment and Finance Company Limited), the successful rollout of technology, based solutions depends on a detailed understanding of the critical success factors (CSFs) that are specific to the rural branch ecosystem. This study combines various literature works done in the areas of rural technology adoption, CSF identification and decision, making frameworks with special focus on the adoption of the Fuzzy, DEMATEL (Decision Making Trial and Evaluation Laboratory) method.
The literature survey has come up with a list of the most frequently mentioned CSFs in rural technology adoption, like infrastructure readiness, leadership support, digital literacy, cost affordability, and regulatory environment, and has proposed methods for analyzing their interaction based on fuzzy causal models. The suggested use of Fuzzy, DEMATEL in the CIFCL rural branch scenario allows for the sorting of CSFs into cause and effect groups giving management the opportunity to concentrate on the root causes that trigger wider systemic reforms. Among the main findings, leadership commitment, staff training and infrastructural investment emerge as the major sources of downstream success, e.g. user adoption and client trust. Further, this review calls for more empirical research specific to CIFCL and other similar rural institutions, underlining the significance of dynamic, data, driven models in supporting inclusive, scalable, and sustainable rural digitization strategies.
Keywords
Fuzzy-DEMATEL, Critical Success Factors, Rural Technology Adoption, CIFCL, Digital Financial Services
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Downloads
References
1. Chuang, M. L., & Lin, Y. H. (2020). Application of fuzzy DEMATEL method to analyze key success factors for smart agriculture. Journal of Cleaner Production, 273, 122917. https://doi.org/10.1016/j.jclepro.2020.122917 [Google Scholar] [Crossref]
2. Gabus, A., & Fontela, E. (1972). World Problems, an Invitation to Further Thought within the Framework of DEMATEL. Battelle Geneva Research Center. [Google Scholar] [Crossref]
3. Rockart, J. F. (1979). Chief executives define their own data needs. Harvard Business Review, 57(2), 81–93. [Google Scholar] [Crossref]
4. Wu, W. W., & Lee, Y. T. (2007). Developing global managers’ competencies using the fuzzy DEMATEL method. Expert Systems with Applications, 32(2), 499–507. https://doi.org/10.1016/j.eswa.2005.12.005 [Google Scholar] [Crossref]
5. Kumar, D., & Routroy, S. (2016). Identification of critical success factors for implementation of lean manufacturing system using fuzzy DEMATEL approach. Benchmarking: An International Journal, 23(6), 1434–1455. https://doi.org/10.1108/BIJ-01-2015-0008 [Google Scholar] [Crossref]
6. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540 [Google Scholar] [Crossref]
7. Sharma, A., & Mishra, A. (2020). Barriers to digital financial inclusion in India: Can fuzzy DEMATEL help? Journal of Financial Services Marketing, 25(3–4), 89–101. https://doi.org/10.1057/s41264-020-00076-4 [Google Scholar] [Crossref]
8. Singh, R. K., & Kaur, P. (2021). Adoption of fintech in rural India: Barriers and solutions. International Journal of Information Management, 58, 102234. https://doi.org/10.1016/j.ijinfomgt.2020.102234 [Google Scholar] [Crossref]
9. Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation. McGraw-Hill. [Google Scholar] [Crossref]
10. Ishizaka, A., & Labib, A. (2011). Review of the main developments in the analytic hierarchy process. Expert Systems with Applications, 38(11), 14336–14345. https://doi.org/10.1016/j.eswa.2011.04.143 [Google Scholar] [Crossref]
11. Lin, Y. H., & Tzeng, G. H. (2009). A value-created system of science (technology) park by using DEMATEL. Expert Systems with Applications, 36(6), 9683–9697. https://doi.org/10.1016/j.eswa.2008.10.072 [Google Scholar] [Crossref]
12. Jhajharia, A., & Pandey, S. K. (2022). Adoption of mobile wallets in rural India: An integrated approach using fuzzy DEMATEL and ISM. Technological Forecasting and Social Change, 176, 121427. https://doi.org/10.1016/j.techfore.2022.121427 [Google Scholar] [Crossref]
13. Aithal, A., & Aithal, P. S. (2016). The concept of ideal strategy and its realization using white ocean mixed strategy. International Journal of Management Sciences and Business Research, 5(4), 171–179. [Google Scholar] [Crossref]
14. Kaur, M., & Pathak, D. (2020). FinTech adoption in India: Determinants and strategies. International Journal of Advanced Science and Technology, 29(3), 2323–2333. [Google Scholar] [Crossref]
15. Das, A. (2019). Enhancing financial inclusion through digital financial services in India. Journal of Financial Economic Policy, 11(2), 249–265. https://doi.org/10.1108/JFEP-12-2017-0125 [Google Scholar] [Crossref]
16. Ram, S., & Sheth, J. N. (2021). Consumer resistance to innovations: The marketing problem and its solutions. Journal of Consumer Marketing, 38(2), 215–227. https://doi.org/10.1108/JCM-12-2019-3526 [Google Scholar] [Crossref]
17. Kumar, V., Dixit, A., Javalgi, R. G., & Dass, M. (2016). Digital transformation in emerging markets: Drivers and outcomes. Journal of Business Research, 69(9), 3693–3700. https://doi.org/10.1016/j.jbusres.2016.03.014 [Google Scholar] [Crossref]
18. Ameen, A., Almari, H., & Isaac, O. (2021). Determining the critical success factors of e-government adoption using DEMATEL and ANP. Technology in Society, 64, 101462. https://doi.org/10.1016/j.techsoc.2020.101462 [Google Scholar] [Crossref]
19. Lin, C. Y. Y. (2007). Factors affecting innovation in logistics technologies for logistics service providers in China. Journal of Technology Management in China, 2(1), 22–37. https://doi.org/10.1108/17468770710723634 [Google Scholar] [Crossref]
20. Yadav, R., & Pathak, G. S. (2016). Intention to purchase organic food among young consumers: Evidences from a developing nation. Appetite, 96, 122–128. https://doi.org/10.1016/j.appet.2015.09.017 [Google Scholar] [Crossref]
21. Hussain, W., & Mkpojiogu, E. O. C. (2016). Requirements engineering for quality software development. Journal of Theoretical and Applied Information Technology, 88(1), 36–43. [Google Scholar] [Crossref]
22. Yu, H., & Lee, H. (2012). Identifying key factors for the successful transition to digital government using fuzzy DEMATEL method. Government Information Quarterly, 29(Supplement 1), S123–S134. https://doi.org/10.1016/j.giq.2012.01.011 [Google Scholar] [Crossref]
23. Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369–392. https://doi.org/10.1108/IntR-12-2012-0244 [Google Scholar] [Crossref]
24. Bansal, S., Garg, I., & Sharma, G. D. (2019). Impact of digital banking on financial inclusion: An econometric evidence from India. International Journal of Financial Services Management, 10(1), 69–82. [Google Scholar] [Crossref]
25. Tseng, M. L., & Lin, Y. H. (2009). Application of fuzzy DEMATEL to develop a cause and effect model of municipal solid waste management in Metro Manila. Environmental Monitoring and Assessment, 158(1-4), 519–533. https://doi.org/10.1007/s10661-008-0605-8 [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Competency and Challenges of BTLED-ICT Students in 2D Animation: An Analytical Study
- Slope Stability Assessment: A Case Study of Embankments Along OMU-Aran-Ilorin Road, Nigeria
- Advancements in Precursors, Materials, Deposition Techniques for Thin Film Research in Electronic Devices: A Mini Review
- “Empowering Indian Women through Entrepreneurship: A Study on Kolkata”
- Impact of Mental Mathematics Proficiency on Job Performance Among Seconadry Schools Teachers in Emohua and Port Hacourt City