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Okeke, RI and Hashem Eiza, M (2022) The Application of Role-Based Framework in Preventing Internal Identity Theft Related Crimes: A Qualitative Case Study of UK Retail Companies. Information Systems Frontiers. ISSN 1387-3326
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The Application of Role-Based Framework in Preventing Internal Identity Theft Related Crimes A Qualitative Case Study of UK Retail Companies.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
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 also offered in this paper.
| Item Type: | Article |
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| Uncontrolled Keywords: | 0806 Information Systems; Information Systems |
| Subjects: | H Social Sciences > HV Social pathology. Social and public welfare. Criminology Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software H Social Sciences > HV Social pathology. Social and public welfare. Criminology > HV7231 Criminal Justice Administrations > HV7551 Police. Detectives. Constabulary |
| Divisions: | Computer Science & Mathematics |
| Publisher: | Springer |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 23 Aug 2022 09:06 |
| Last Modified: | 12 Sep 2022 10:15 |
| DOI or ID number: | 10.1007/s10796-022-10326-w |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/17432 |
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