Maitlo, Abdullah, Ameen, Nisreen, Peikari, Hamid Reza and Shah, Mahmood (2019) Preventing identity theft: Identifying major barriers to knowledge-sharing in online retail organisations. Information Technology & People, 32 (5). pp. 1184-1214. ISSN 0959-3845
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Ameen_et_al_Preventing_identity_theft_Information_Technology_People.pdf - Accepted Version Download (518kB) | Preview |
Abstract
Purpose: Knowledge-sharing (KS) for preventing identity theft has become a major challenge for organisations. The purpose of this paper is to fill a gap in the literature by investigating barriers to effective KS in preventing identity theft in online retail organisations. Design/methodology/approach: A framework was proposed based on a reconceptualisation and extension of the KS enablers framework (Chong et al., 2011). A qualitative case study research method was used for the data collection. In total, 34 semi-structured interviews were conducted in three online retail organisations in the UK. Findings: The findings suggest that the major barriers to effective KS for preventing identify theft in online retail organisations are: lack of leadership support; lack of employee willingness to share knowledge; lack of employee awareness of KS; inadequate learning opportunities; lack of trust in colleagues; insufficient information-sourcing opportunities and information and communications technology infrastructure; a weak KS culture; lack of feedback on performance; and lack of job rotation. Practical implications: The research provides solutions for removing existing barriers to KS in preventing identity theft. This is important to reduce the number of cases of identity theft in the UK. Originality/value: This research extends knowledge of KS in a new context: preventing identity theft in online retail organisations. The proposed framework extends the KS enablers framework by identifying major barriers to KS in the context of preventing identity theft.
Item Type: | Article |
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Uncontrolled Keywords: | Qualitative method, Case study |
Subjects: | G500 Information Systems G900 Others in Mathematical and Computing Sciences |
Department: | Faculties > Business and Law > Newcastle Business School |
Depositing User: | Elena Carlaw |
Date Deposited: | 06 Apr 2020 09:58 |
Last Modified: | 31 Jul 2021 18:35 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/42694 |
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