Preventing identity theft: Identifying major barriers to knowledge-sharing in online retail organisations

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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Official URL: https://doi.org/10.1108/itp-05-2018-0255

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
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: 06 Apr 2020 10:00
URI: http://nrl.northumbria.ac.uk/id/eprint/42694

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