Industry 4.0-based enterprise information system for P2P lending

Abstract

Purpose

This study aims to deliberate and illustrate the overall peer-to-peer (P2P) business process, user requirements and design considerations under Industry 4.0 based on enterprise information system for P2P lending.

Design/methodology/approach

Exploratory approach with a systematic literature review and content analysis method.

Findings

P2P lending uses different credit audition methods and relies on information available in the system and the decision model. So IT techniques, for example, big data analysis and data mining, on credit audition are key points in P2P lending but the application of Industry 4.0 to the P2P lending landscape can yield several new benefits with a well-designed EIS, which is critical to service various stakeholders.

Research limitations/implications

This study is exploratory in nature and may need more testing on an empirical basis before drawing generalizations. Implications of research included in this area are that it poses good challenges to researchers from different disciplines such as economics, business management and information, communication and technology.

Originality/value

Deliberations of business process for P2P lending via enterprise information system under Industry 4.0 in the African context is of value as these emerging economies adopt new systems and processes to meet the requirements of Industry 4.0.

Citation

Musti, K.S.S. and Baporikar, N. (2023), "Industry 4.0-based enterprise information system for P2P lending", Journal of Science and Technology Policy Management, Vol. 14 No. 1, pp. 6-24. https://doi.org/10.1108/JSTPM-06-2020-0093