Abstract
PurposeThe characteristics of the Internet of Things (IoT) are such that traditional models of trust developed within interpersonal, organizational, virtual and information systems contexts may be inappropriate for use within an IoT context. The purpose of this paper is to offer empirically generated understandings of trust within potential IoT applications.Design/methodology/approachIn an attempt to capture and communicate the complex and all-pervading but frequently inconspicuous nature of ubiquitous technologies within potential IoT techno-systems, propositions developed are investigated using a novel mixed methods research design combining a videographic projective technique with a quantitative survey, sampling 1,200 respondents.FindingsResearch findings suggest the dimensionality of trust may vary according to the IoT techno-service context being assessed.Originality/valueThe contribution of this paper is twofold. First, and from a theoretical perspective, it offers a conceptual foundation for trust dimensions within potential IoT applications based upon empirical evaluation. Second, and from a pragmatic perspective, the paper offers insights into how findings may guide practitioners in developing appropriate trust management systems dependent upon the characteristics of particular techno-service contexts.
Highlights
This paper conceptualizes and explores relational trust within the context of the Internet of Things (IoT)
Since this research has been exploratory in nature, these results suggest further development is required into the validation, measurement and refinement of instruments measuring trust within differing contexts
This research has identified how current dimensions of interpersonal- and technologybased trust within the extant literature may be inappropriate within some IoT techno-service contexts (e.g. Morgan and Hunt, 1994; Bapna et al, forthcoming)
Summary
This paper conceptualizes and explores relational trust within the context of the Internet of Things (IoT). Its foundations can be found in various works that underpin the development of artificial intelligence, where technology systems may reflect anthropomorphic reasoning based on human psychophysiological traits (Minsky, 1988, 2006). Important contributors to this are Turing and von Neumann (see Russell and Norvig, 1995; Weiss, 1999) and system control theory (see Masani, 1985 for a review of the collected works of Wiener, father of cybernetics; Kalman’s, 1960 predictive algorithm; Pearl’s, 2000 development of a calculus for probabilistic and causal reasoning).
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