Title: Development of an open government data assessment model: user-centric approach to identify the weighted components in Thailand

Authors: Chatipot Srimuang; Nagul Cooharojananone; Uthai Tanlamai; Achara Chandrachai

Addresses: Technopreneurship and Innovation Management Program, Graduate School, Chulalongkorn University, Bangkok, 10330, Thailand ' Faculty of Science, Department of Mathematics and Computer Science, Chulalongkorn University, Bangkok, 10330, Thailand ' Department of Accountancy, Chulalongkorn Business School, Chulalongkorn University, Bangkok, 10330, Thailand ' Department of Commerce, Chulalongkorn Business School, Chulalongkorn University, Bangkok, 10330, Thailand

Abstract: Social networking is rapidly growing to such an extent that it has become a driving force for the public and governments to access data. In 2015, the Thai government released a three-year digital government development plan as an e-government performance guideline. Several countries have conducted research on OGD assessment models (OGDAM). However, there is no research identifying enterprise architecture as the assessment component, which becomes the key activity to transform the digital government work process. Therefore, the purpose of this paper was to develop an OGDAM suitable for Thailand that identified the components weight assessment from a user-centric approach that was calculated by confirmatory factor analysis (CFA). The validation of the developed OGDAM was performed by interviewing officials of top government management agencies responsible for e-government. Moreover, the model will adapt to the assessment system to allow public organisations to assess their open government data (OGD) progress in Thailand.

Keywords: OGD; open government data; evaluate open government data; open data assessment; open data benchmarking; open data; government data; model assessment; performance evaluation.

DOI: 10.1504/IJEG.2018.095952

International Journal of Electronic Governance, 2018 Vol.10 No.3, pp.276 - 295

Received: 08 Apr 2017
Accepted: 19 Oct 2017
Published online: 05 Nov 2018 *

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