Trust and its predictors within a cyber-physical system context

Date

2019-05-27

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

Emerald

Type

Article

Peer reviewed

Yes

Abstract

This research aims to provide empirically derived insights into trust and its predictors within a cyber-physical system context of a household service. The methodology comprises an innovative mixed methods design encompassing a videographic animated film portraying a potential ‘slice of life’ household service system scenario that was subsequently incorporated into a quantitative survey. A total of 400 responses were then used to examine trust dimensions and their hypothesized predictors. Findings suggest trust is two dimensional with 'online networking competency', 'perceptions of risk', 'propensity to trust technology in general' and 'concerns about security' being significant predictors. Surprisingly, 'concerns about privacy' does not have a significant effect. The contribution of this research is twofold. Firstly, from a theoretical perspective, the paper offers empirical insights into trust and its predictors within a cyber-physical system context of a household service. Secondly, and from a pragmatic perspective, the model derived from this study may aid practitioners in developing trust strategies and trust management systems within such contexts.

Description

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.

Keywords

Internet of Things (IoT), Trust, Service Systems

Citation

Garry, T. and Harwood, T. (2019) Trust and its predictors within a cyber-physical system context, Journal of Services Marketing, 33 (4), pp.407-428

Rights

Research Institute

Institute of Creative Technologies (IOCT)