This study examines India’s digital credit ecosystem, exploring the relationship between technological efficiency and user rights, particularly data privacy. It aims to identify emerging trends, key concerns, and potential regulatory and technological interventions. The PRISMA framework guided a systematic review of scholarly literature on digital credit services, data privacy, and global benchmarks. A filtered collection of 198 documents formed the final corpus for analysis. Through bibliometric analysis (inductive approach), we identified dominant research themes, while content analysis (deductive approach) classified the literature by keyword frequency related to data collection, storage, and breach impacts. The study highlights three key research themes: (1) India’s rapidly expanding digital credit ecosystem, (2) emerging financial data privacy developments, and (3) international approaches to privacy in financial services. India’s digital lending is experiencing exponential growth, driven by FinTech innovations and data integration. However, concerns persist regarding data accuracy, transparency, and privacy. Emerging technologies such as Blockchain and Federated Learning offer promising solutions to mitigate privacy risks and enhance compliance. The findings provide context-specific directions for strengthening privacy governance within India’s digital credit ecosystem. Specifically, they offer practical guidance for regulators, policymakers, financial institutions, and FinTech firms seeking to promote responsible digital lending and sustainable financial inclusion.
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
This state-of-practice investigation was performed using a literature review followed by a multiple-case study approach and presents how inconsistency between managerial strategies and execution can lead to failure by means of a behavioral framework.
Carmine Giardino, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 175 citations· ⚡19
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
It is found that roles of MVPs in startups were not fully aware by entrepreneurs, and entrepreneurs should consider a systematic approach to fully explore the value of MVP, as a multiple facet product (MFP).
Anh Nguyen-Duc, P. Abrahamsson· International Conference on...· 93 citations· ⚡9
It is found that what perceived as biggest challenges by software startups do vary across different life cycle stages, even though its significance decreases when the learning focuses of the startups move from problem to solution and their products mature.
Xiaofeng Wang, Henry Edison, Sohaib Shahid Bajwa et al.· International Conference on...· 62 citations· ⚡6
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
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