Abstract
Mobile cloud computing (MCC) has been widely used in every aspect of our society, bringing both advantages and challenges. However, the adoption of MCC technology is still at an early stage of implementation in the governments. To promote the adoption and diffusion of MCC in the government area, exploring the determinants and influence mechanisms of mobile cloud computing-based government (m-Gov cloud) adoption has become the focus in academic and industry. Based on the technology-organization-environment framework and trust theory at the organizational level, an integrated model including the determinants on the adoption of m-Gov cloud is proposed, and 93 survey samples from China are used to analyzed by partial least squares structural equation modeling (PLS-SEM). The results show that provider competence, organizational readiness, external pressure, and trust of m-Gov cloud have significant effects on m-Gov cloud adoption. Perceived benefit, perceived risk, and provider competence have significant effects on m-Gov cloud trust. The m-Gov cloud trust plays an indirect-only (full) mediation and a complementary (partial) mediation effect between perceived benefit, provider competence, and m-Gov cloud adoption, respectively, while perceived risk has no significant direct and indirect effect on m-Gov cloud adoption. The findings provide a new research perspective and practice insights to promote the implementation of solutions based on the idea of mobile cloud computing.
Highlights
Cloud computing, disruptive innovation technology that extends existing Information Technology (IT) capabilities and requirements [1, 2], provides flexible and on-demand computing resources [3,4,5,6,7], which has gained substantial attention in both academia and industry [8,9,10,11,12]
As our research aims to explore the determinants of m-Gov cloud adoption from the perspective of government agencies, we first review the prominent theoretical theories and models used for IT adoption at the organizational level [32], e.g., TOE framework, trust theory, two-factor theory, and institutional theory
Principal Findings. is study identifies the determinants of m-Gov cloud adoption by using an integrated model that combines TOE, two-factor theory (TFT), institutional theory (INT), and trust theory, and reveals their influence mechanisms. e results show that the adoption decision of m-Gov cloud is affected by multiple perspectives, e.g., technological characteristics, organizational readiness, external pressure, and trust. e results indicate that the technological characteristics of m-Gov cloud are antecedents of cloud trust. e discussion of the results is presented below
Summary
Disruptive innovation technology that extends existing IT capabilities and requirements [1, 2], provides flexible and on-demand computing resources [3,4,5,6,7], which has gained substantial attention in both academia and industry [8,9,10,11,12]. Mobile cloud computing (MCC), an infrastructure, application, or process, where the data storage and processing migrated from smart mobile technologies to the distributed cloud servers [13], provides a platform for resource-constrained mobile devices to offload their tasks by cloud service providers (CSPs), mobile operators, and mobile vendors [6, 14]. MCC, with the characteristics of cloud computing and its own features such as mobility and real-time and wireless data transmission [15], has been used in a broad variety of fields [16, 17], e.g., mobile cloud storage services [3], healthcare system [18, 19], and educational use in higher education [13]. In order to promote the adoption and diffusion of MCC in the government context, it is Mobile Information Systems of great practical significance to explorer the determinants and mechanisms of mobile cloud computing-based government (m-Gov cloud) adoption [12]
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