Trust in a specific technology: An investigation of its components and measures

  • Authors:
  • D. Harrison Mcknight;Michelle Carter;Jason Bennett Thatcher;Paul F. Clay

  • Affiliations:
  • Michigan State University, East Lansing, MI;Clemson University, Clemson, SC;Clemson University, Clemson, SC;Washington State University, Pullman, WA

  • Venue:
  • ACM Transactions on Management Information Systems (TMIS)
  • Year:
  • 2011

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Abstract

Trust plays an important role in many Information Systems (IS)-enabled situations. Most IS research employs trust as a measure of interpersonal or person-to-firm relations, such as trust in a Web vendor or a virtual team member. Although trust in other people is important, this article suggests that trust in the Information Technology (IT) itself also plays a role in shaping IT-related beliefs and behavior. To advance trust and technology research, this article presents a set of trust in technology construct definitions and measures. We also empirically examine these construct measures using tests of convergent, discriminant, and nomological validity. This study contributes to the literature by providing: (a) a framework that differentiates trust in technology from trust in people, (b) a theory-based set of definitions necessary for investigating different kinds of trust in technology, and (c) validated trust in technology measures useful to research and practice.