The Application of Role-Based Framework in Preventing Internal Identity Theft Related Crimes: A Qualitative Case Study of UK Retail Companies

Romanus Izuchukwu Okeke () and Max Hashem Eiza ()
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Romanus Izuchukwu Okeke: Cardiff Metropolitan University
Max Hashem Eiza: Liverpool John Moores University

Information Systems Frontiers, 2023, vol. 25, issue 2, No 3, 472 pages

Abstract: Abstract This paper aims to examine the challenges of preventing internal identity theft related crimes (IIDTRC) in the UK retail sector. Using an in-depth multiple case studies of a selected number of cross-functional management teams in the UK retail companies, management roles were analysed. We used semi-structured interview as a qualitative data collection technique and used Nvivo aided thematic analysis and interpretivism underpinned by Role-Based Framework (RBF) for analysis. Our findings revealed that vagueness of roles and lack of clarity in sharing data security responsibilities are the major challenges of preventing IIDTRC in UK retail companies. We suggest an application of RBF which provides a conceptual analysis for cross-functional management team to address the challenges of preventing IIDTRC. RBF enables clarity of shared roles where both information security and crimes prevention teams work in unison is required to prevent IIDTRC to maximise internal data security. Contributions for policymakers are offered in this paper.

Keywords: Internal identity theft related crimes; Data security; Role-based framework; Retail sector; Insider threat prevention; Qualitative case study (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10796-022-10326-w

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