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An Intention-Adoption Behavioral Model for Open Government Data in Pakistan’s Public Sector Organizations–An Exploratory Study

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Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation (TDIT 2020)

Abstract

Open Government Data (an innovation in the electronic government enabling public sector information accessible by the public in open formats and the ways to enable such facility) has huge potential to increase transparency, accountability, participation, efficiency in operations, data-driven/evidence-based policymaking, and trust on government institutions. Despite its potential benefits, although a few organizations are proactive and have embraced the OGD movement seriously, still OGD has not been widely adopted in Pakistan which might involve several obstacles that worked against such efforts. Driven by the nature of the research, this study conducted an exploratory field study in Pakistan by interviewing five industry experts in the e-government domain as well as attending a conference, and newspapers. This study identifies eight important antecedents to the adoption of OGD in public sector organizations and proposes future research to test their relationships. As the main theoretical contribution, this study extends organizational behavior toward technology diffusion. The findings of this study incite government, policymakers and managers to consider the factors and prepare future strategies on OGD developments.

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Correspondence to Muhammad Mahboob Khurshid .

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Khurshid, M.M., Zakaria, N.H., Arfeen, M.I., Rashid, A., Shehzad, H.M.F., Ahmad, M.N. (2020). An Intention-Adoption Behavioral Model for Open Government Data in Pakistan’s Public Sector Organizations–An Exploratory Study. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Rana, N.P. (eds) Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. TDIT 2020. IFIP Advances in Information and Communication Technology, vol 617. Springer, Cham. https://doi.org/10.1007/978-3-030-64849-7_34

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  • DOI: https://doi.org/10.1007/978-3-030-64849-7_34

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