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Quantify the Behaviour Intention of Individuals to Control SC Performance by Exploring Cloud Storage Services: An Extended UTAUT2 Approach

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  • K. A. Asraar Ahmed

    (VIT-AP School of Business, VIT-AP University, Amaravati Campus, Andhra Pradesh, India)

  • Anoop Kumar Sahu

    (Guru Ghasidas Vishwavidyalaya (Central), Bilaspur, India)

  • Atul Kumar Sahu

    (Guru Ghasidas Vishwavidyalaya (Central), Bilaspur, India)

  • Nitin Kumar Sahu

    (Guru Ghasidas Vishwavidyalaya (Central), Bilaspur, India)

Abstract

The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is explored as a theoretical background to build extended UTAUT2 model with relevant variables for examining the cloud storage services technology acceptance at individual level to respond the current and future SCM operations. The research employed purposive sampling method for data collection. The questionnaire is distributed in booklet format to participants who had experienced in using online cloud storage service platforms (e.g., Google Drive, Microsoft One Drive, etc.). The data are collected from participates dwelling at Chennai metropolitan in South India. The data is analysed by using structural equation modelling technique through Smart PLS 2 software. The performance expectancy, social influence, trust, and perceived speed of access are found to be the strong significant determinants affecting and changing the behavioural intention of individual (customers) towards using cloud storage service technology in managing own firm SCM networks and operations.

Suggested Citation

  • K. A. Asraar Ahmed & Anoop Kumar Sahu & Atul Kumar Sahu & Nitin Kumar Sahu, 2022. "Quantify the Behaviour Intention of Individuals to Control SC Performance by Exploring Cloud Storage Services: An Extended UTAUT2 Approach," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 18(7), pages 1-28, June.
    • Handle: RePEc:igg:jthi00:v:18:y:2022:i:7:p:1-28
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    1. Deborah R. Compeau & Christopher A. Higgins, 1995. "Application of Social Cognitive Theory to Training for Computer Skills," Information Systems Research, INFORMS, vol. 6(2), pages 118-143, June.
    2. Ho-Chang Chae & Chang E. Koh & Minjun Jeon, 2020. "Can Cognitive Style Predict Adoption of an Emerging Technology?: A Study of Cognitive Style and Its Influence on the Perception of a New Technology," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 16(1), pages 18-35, January.
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