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Factors Affecting Net Benefit of Google Drive Adoption Decision: A Case Study of Thais’ Living in Bangkok, Thailand

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  • Rawin Vongurai

Abstract

Purpose: The research proceeded to investigate the factors affecting net benefit of google drive adoption decision among Thais living in Bangkok, Thailand. Design/Methodology/Approach: The data were collected from 412 respondents through convenient sampling technique by online questionnaire. Information quality, system quality, service quality, user satisfaction, intention to use and net benefit, validity and reliability of each variables were examined by Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Findings: The results showed that user satisfaction has the most direct effect on net benefit. Moreover, information quality, system quality and service quality were indirectly affected on net benefit of google drive. Therefore, google drive serve quality system that matches with customer satisfaction and expectation to improve job efficiency. Practical Implications: Although previous studies have identified on the use of google drive in collaborative business operations. However, the factors behind the use of google drive cloud system and the decisions behind the adaptation would provide useful insights for better understanding of the mechanism. Originality/Value: This research provides advanced recommendations to those who concern on the use of efficient google drive features not only to develop its features, but also to strengthen the smooth and flexible work patterns in organizations.

Suggested Citation

  • Rawin Vongurai, 2019. "Factors Affecting Net Benefit of Google Drive Adoption Decision: A Case Study of Thais’ Living in Bangkok, Thailand," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 149-165.
    • Handle: RePEc:ers:ijebaa:v:vii:y:2019:i:4:p:149-165
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    1. Brodie, Roderick J. & Whittome, James R.M. & Brush, Gregory J., 2009. "Investigating the service brand: A customer value perspective," Journal of Business Research, Elsevier, vol. 62(3), pages 345-355, March.
    2. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    3. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    4. Vicki McKinney & Kanghyun Yoon & Fatemeh “Mariam” Zahedi, 2002. "The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach," Information Systems Research, INFORMS, vol. 13(3), pages 296-315, September.
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