Journal
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
Volume 166, Issue -, Pages -Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.techfore.2021.120657
Keywords
Digital Personal Data Stores; Technology Acceptance Model; Personal Data; Privacy Risk; Trust; Empirical study
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Recent data leaks have raised concerns about the security of digital personal data among Internet users, but consumers are increasingly accepting cloud computing empowered Digital Personal Data Stores. Trust is found to be a key factor in enhancing the acceptance of DPDSs, while privacy risk does not moderate the relationship between trust and acceptance.
Recent data leaks such as those involving Dropbox have apparently made Internet users feel less secure than in the past as they face risks when dealing with their digital personal data. However, consumers have increasingly embraced cloud computing empowered Digital Personal Data Stores (DPDSs). To understand this paradox, this study shifts the unit of analysis of DPDSs acceptance from organizations to individuals/consumers and identifies the drivers of adoption of DPDSs (beyond broadly defined cloud computing services). Moreover, it proposes, develops and tests empirically a comprehensive extended version of the Technology Acceptance Model (TAM) in the context of DPDSs, leveraging perceived privacy risks and trust. Using a panel of UK consumers, we find that perceived trust positively influences both usefulness and ease of use. These constructs, in turn, positively affect attitude towards using DPDSs, which ultimately increases the intention to use DPDSs. Privacy risk does not moderate any of the investigated relationships, thus suggesting that trust is a key underlying mechanism enhancing the acceptance of DPDS. Hence, theoretical and managerial implications are discussed.
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