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Factors Influencing User Acceptance of Public Sector Big Open Data

Weerakkody, Vishanth, Kapoor, Kawalijeet, Balta, Maria Elisavet, Irani, Zahir, Dwivendi, Yogesh (2017) Factors Influencing User Acceptance of Public Sector Big Open Data. Production Planning and Control, 28 (11-12). pp. 891-905. ISSN 0953-7287. E-ISSN 1366-5871. (doi:10.1080/09537287.2017.1336802) (KAR id:61871)

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In recent years Government departments and public/private organizations are becoming increasingly transparent with their data to establish the whole new paradigm of big open data. Increasing research interest arises from the claimed usability of big open data in improving public sector reforms, facilitating innovation, improving supplier and distribution networks and creating resilient supply chains that help improve the efficiency of public services. Despite the advantages of big open data for supply chain and operations management, there is severe shortage of empirical analyses in this field, especially with regards to its acceptance. To address this gap, in this paper we use an extended Technology Acceptance Model (TAM) to empirically examine the factors affecting users’ behavioural intentions towards public sector big open data. We outline the importance of our model for operations and supply chain managers, the limitations of the study, and future research directions.

Item Type: Article
DOI/Identification number: 10.1080/09537287.2017.1336802
Uncontrolled keywords: Big Open Data, Public Sector, Use, Operations, Supply chains
Subjects: H Social Sciences
Divisions: Faculties > Social Sciences > Kent Business School > Industrial Relations/HRM
Depositing User: Maria Balta
Date Deposited: 28 May 2017 19:51 UTC
Last Modified: 06 May 2020 03:16 UTC
Resource URI: (The current URI for this page, for reference purposes)
Balta, Maria Elisavet:
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