Factors Affecting Cloud Computing Adoption and Continuance Intention of Students in Thailand

Juthamon Sithipolvanichgul (), Charlie Chen (), Judy Land () and Peter Ractham
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Juthamon Sithipolvanichgul: Department of Accounting, Thammasat Business School, Thammasat University, 2 Prachan Road, Pranakorn, Bangkok 10200, Thailand
Charlie Chen: Department of Computer Information Systems, Appalachian State University, 287 Rivers St., Boone, NC 28608, USA
Judy Land: Department of Accounting, North Carolina Central University, 1801 Fayetteville St., Durham, NC 27707, USA
Peter Ractham: Department of Management Information System, Thammasat Business School, Thammasat University, 2 Prachan Road, Pranakorn, Bangkok 10200, Thailand

International Journal of Innovation and Technology Management (IJITM), 2021, vol. 18, issue 07, 1-29

Abstract: An increasing number of higher education institutions have embraced Cloud Computing Services (CCS) to better respond to the issues arising from the COVID-19 pandemic. Cloud computing has helped to ease the process and lower the cost of offering online education and hybrid learning. However, some universities in Thailand face cloud computing adoption challenges because students lack awareness of the benefits and risks of CCS. Therefore, it is vital to identify the critical factors affecting the initial and continuance adoption of CCS by students in less developed countries. This study adopts a trade-off lens to assess the impact of the perceived usefulness and perceived risks regarding students’ attitudes toward the initial and continuing adoption of CCS. Using a survey of CCS from a large public university in Thailand, we found that performance expectation and effort expectation positively affect perceived usefulness, and that authentication risks positively affect perceived risks. We also found that perceived usefulness rather than perceived risks is a deciding factor in adopting CCS. Higher education institutions in Thailand can accelerate the adoption of CCS by improving students’ perceived performance and reducing the perceived risks.

Keywords: Cloud computing; behavioral intention; perceived usefulness; perceived risks (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0219877021500371

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