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Investigating the Determinants of Decision-Making on Adoption of Public Cloud Computing in E-government

Investigating the Determinants of Decision-Making on Adoption of Public Cloud Computing in E-government

Juhua Wu, Fang Ding, Meng Xu, Zan Mo, Anran Jin
Copyright: © 2016 |Volume: 24 |Issue: 3 |Pages: 19
ISSN: 1062-7375|EISSN: 1533-7995|EISBN13: 9781466688766|DOI: 10.4018/JGIM.2016070104
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MLA

Wu, Juhua, et al. "Investigating the Determinants of Decision-Making on Adoption of Public Cloud Computing in E-government." JGIM vol.24, no.3 2016: pp.71-89. http://doi.org/10.4018/JGIM.2016070104

APA

Wu, J., Ding, F., Xu, M., Mo, Z., & Jin, A. (2016). Investigating the Determinants of Decision-Making on Adoption of Public Cloud Computing in E-government. Journal of Global Information Management (JGIM), 24(3), 71-89. http://doi.org/10.4018/JGIM.2016070104

Chicago

Wu, Juhua, et al. "Investigating the Determinants of Decision-Making on Adoption of Public Cloud Computing in E-government," Journal of Global Information Management (JGIM) 24, no.3: 71-89. http://doi.org/10.4018/JGIM.2016070104

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Abstract

This article analyzed decision-making in terms of the adoption of public cloud computing and its determinants in the context of e-government. The authors proposed a theoretical model and related hypotheses after reviewing the literature and combining technology adoption theory with IT decision-making authority theory. Then, they collected samples from 227 public sectors and tested hypotheses using structural equation modeling. The results show that the determinants of the three modes (IaaS, SaaS, and PaaS) of decision-making on adoption are different. The significant determinants of IaaS adoption include technical factors and business factors, those of PaaS adoption include technical factors and management factors, whereas those of SaaS include technical factors, business factors and management factors. The authors also find managerial/controlling power, which characterizes the special nature of Chinese culture, only have a significant influence on the decision-making on adoption of PaaS mode and SaaS mode.

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