Purpose: Identity fraud is a growing issue for online retail organisations. The literature on this issue is scattered, and none of the studies presents a holistic view of identity fraud management practices in the online retail context. Therefore, the purpose of this paper is to investigate the identity fraud management practices and present a comprehensive set of practices for e-tail sector. Design/methodology/approach: A systematic literature review approach was adopted, and the articles were selected through pre-set inclusion criteria. The authors synthesised existing literature to investigate identity fraud management in e-tail sector. Findings: The research finds that literature on practices for identity fraud management is scattered. The findings also reveal that firms assume identity fraud issues as a technological challenge, which is one of the major reasons for a gap in effective management of identity frauds. This research suggests e-tailers to deal this issue as a management challenge and counter strategies should be developed in technological, human and organisational aspects. Research limitations/implications: This study is limited to the published sources of data. Studies, based on empirical data, will be helpful to support the argument of this study; additionally, future studies are recommended to include a wide number of databases. Practical implications: This research will help e-tail organisations to understand the whole of identity fraud management and help them develop and implement a comprehensive set of practices at each stage, for effective management identity frauds. Originality/value: This research makes unique contributions by synthesising existing literature at each stage of fraud management and encompasses social, organisational and technological aspects. It will also help academicians understanding a holistic view of available research and opens new lines for future research.
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- Fraud management
- Identity fraud
- Identity theft
- Literature review
- Managerial practices
ASJC Scopus subject areas
- Decision Sciences(all)
- Information Systems
- Library and Information Sciences
- Management of Technology and Innovation