Title: Understanding e-government readiness and practices from the lens of behavioural and organisational change theories: a case of intelligence-led policing

Authors: M. Ibrahim Mohammed Ibrahim Alblooshi; Erne Suzila Kassim

Addresses: Abu Dhabi Police General Headquarters, Muroor Road, Abu Dhabi 253, United Arab Emirates; Department of Postgraduate and Professional Studies, Faculty of Business and Management, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia ' Faculty of Business and Management, Universiti Teknologi MARA, Caw Selangor, Kampus Puncak Alam, 42300 Selangor, Malaysia

Abstract: Intelligence-led policing (ILP), as part of an electronic government initiative, has become policing institution's central component towards safeguarding public safety and security. ILP requires changes to a broad range of organisational aspects and acceptance. Hence, the research was conducted to identify how organisational change and human factors affect the ILP readiness, and to examine the linkage between practices and policing effectiveness. We conducted a survey with police intelligence officers from the Abu Dhabi Police (ADP). The findings suggest readiness of change is the key to ILP practices, and the readiness is determined by officers' attitude, climate of change and process of change. More importantly, ILP is an important component of policing effectiveness, with organisational strategy and human factors as important antecedents. Therefore, the findings have shed some light on the critique of the government structural reluctance of the traditional police culture in accepting change towards electronic inventiveness.

Keywords: electronic government; electronic government readiness; intelligence-led policing; ILP; Abu Dhabi Police; ADP; policing; organisational change; theory of planned behaviour; TPB; policing effectiveness.

DOI: 10.1504/EG.2024.141853

Electronic Government, an International Journal, 2024 Vol.20 No.6, pp.621 - 643

Received: 28 Feb 2023
Accepted: 30 Dec 2023
Published online: 02 Oct 2024 *

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