Exploring trust in emerging technologies: an integrative model

Tatiana Kireeva, Ian Scott, Filipa de Almeida

Research output: Working paperPreprint

53 Downloads (Pure)

Abstract

This paper explored factors that influence technology trust beliefs, with a focus on differences between emerging and existing technologies. It was the first piece of evidence to test the “Faith-Confidence” grouping of technology trust predictors and it included two studies, based on PLS-SEM technique. Study 1 examined a structural model that includes individual differences, institutional-based trust, concern about privacy, calculus-based trust, and social norms. Study 2 addressed limitations of Study 1 and assessed relationships between these variables and technology trusting beliefs. The studies also compared path estimate strength between technologies using multi-group analysis. The studies were controlled randomized post-test experiments with a total of 629 participants.
The studies found significant differences in how trust is developed for emerging versus non-emerging technologies and that "Faith" is a stronger predictor for trust in emerging technologies, while "Confidence" is stronger for existing technologies. The paper also introduced two new constructs - perceived power asymmetry and technological savviness - to the technology acceptance domain. Future research should replicate the study for various technologies and cultures and expand the proposed model on actual technology usage.
Original languageEnglish
PublisherSocial Science Research Network (SSRN), Elsevier
DOIs
Publication statusPublished - 17 Feb 2023

Publication series

NameSSRN Electronic Journal

Keywords

  • trust
  • technology
  • emerging technologies
  • existing technologies
  • faith and confidence predictors of trust
  • PLS-SEM
  • MGA

Fingerprint

Dive into the research topics of 'Exploring trust in emerging technologies: an integrative model'. Together they form a unique fingerprint.

Cite this