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Motivating information system engineers’ acceptance of Privacy by Design in China: An extended UTAUT model

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  • Bu, Fei
  • Wang, Nengmin
  • Jiang, Bin
  • Jiang, Qi

Abstract

Given the serious issues caused by privacy leakage, Privacy by Design (PbD) is gaining the attention of professionals as a new privacy protection paradigm with enormous potential. This study proposes a UTAUT-based integrated model from the perspective of information system (IS) engineers, and explores the determinants of PbD implementation. The implementation of PbD and privacy protection measures relay heavily on IS engineers. However, there is a paucity of research exploring IS engineers’ acceptance of PbD, particularly research that considers engineers’ individualized factors and personal attitudes. Empirical data collected from 261 IS engineers in China demonstrate the rationality of proposed model and the importance of integrating conceptual constructs. The findings suggest that IS engineers’ attitude towards PbD implementation significantly impacts both their behavioral intention and their implementing behavior. IS engineers’ awareness of PbD is a predictor of their effort and performance expectancies, and intention to implement; IS engineers’ effort and performance expectancies concerning PbD usage have significantly impact on their attitude towards PbD. This study reveals the factors that motivate IS engineers to implement PbD into their workflow and proposes for the first time that IS engineers’ attitude towards PbD usage is the key factor for PbD implementation.

Suggested Citation

  • Bu, Fei & Wang, Nengmin & Jiang, Bin & Jiang, Qi, 2021. "Motivating information system engineers’ acceptance of Privacy by Design in China: An extended UTAUT model," International Journal of Information Management, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:ininma:v:60:y:2021:i:c:s0268401221000517
    DOI: 10.1016/j.ijinfomgt.2021.102358
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    Cited by:

    1. Lai-Ying Leong & Teck-Soon Hew & Keng-Boon Ooi & Bhimaraya Metri & Yogesh K. Dwivedi, 2023. "Extending the Theory of Planned Behavior in the Social Commerce Context: A Meta-Analytic SEM (MASEM) Approach," Information Systems Frontiers, Springer, vol. 25(5), pages 1847-1879, October.
    2. Balakrishnan, Janarthanan & Abed, Salma S. & Jones, Paul, 2022. "The role of meta-UTAUT factors, perceived anthropomorphism, perceived intelligence, and social self-efficacy in chatbot-based services?," Technological Forecasting and Social Change, Elsevier, vol. 180(C).

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