Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Sep 12:6:e5483.
doi: 10.7717/peerj.5483. eCollection 2018.

Trust and distrust in information systems at the workplace

Affiliations

Trust and distrust in information systems at the workplace

Meinald T Thielsch et al. PeerJ. .

Abstract

Digitalization of work processes is advancing, and this is increasingly supported by complex information systems (IS). However, whether such systems are used by employees largely depends on users' trust in these IS. Because there are few systematic studies on this topic, this research provides an initial exploration and validation of preconditions for trust in work-related IS. In Study 1, N = 30 professionals were asked to describe occupational incidents in which they had highly trusted or distrusted an IS. Content analysis of 111 critical incidents described in the in-depth interviews led to 12 predictors of trust and distrust in IS, which partly correspond to the structure of the established IS success model (Delone & McLean, 2003) but also exceed this structure. The resulting integrative model of trust in IS at work was validated in Study 2 using an online questionnaire with N = 179 professionals. Based on regression analyses, reliability (system quality) and credibility (information quality) of IS were identified as the most important predictors for both trust and distrust in IS at work. Contrasting analyses revealed diverging qualities of trust and distrust in IS : whereas well-being and performance were rated higher in trust events, experienced strain was rated higher in distrust events. Together, this study offers a first comprehensive model of trust in IS at work based on systematic empirical research. In addition to implications for theory advancement, we suggest practical implications for how to support trust and to avoid distrust in IS at work.

Keywords: Distrust; Information systems; Information technologies; Performance; Trust; Well-being; Work.

PubMed Disclaimer

Conflict of interest statement

The authors declare there are no competing interests.

Figures

Figure 1
Figure 1. Model of predictors of trust and distrust in IS at the workplace.
Variables marked with a are predictors of trust, variables marked with b predictors of distrust.

Similar articles

Cited by

References

    1. Appelman A, Sundar SS. Measuring message credibility: construction and validation of an exclusive scale. Journalism & Mass Communication Quarterly. 2016;93(1):59–79. doi: 10.1177/1077699015606057. - DOI
    1. Aral S, Brynjolfsson E, Van Alstyne M. Information, technology, and information worker productivity. Information Systems Research. 2012;23(3 PART 2):849–867. doi: 10.1287/isre.1110.0408. - DOI
    1. Ash JS, Berg M, Coiera E. Some unintended consequences of information technology in health care: the nature of patient care information system-related errors. Journal of the American Medical Informatics Association. 2004;11(2):104–112. doi: 10.1197/jamia.M1471.Medical. - DOI - PMC - PubMed
    1. Avolio BJ, Sosik JJ, Kahai SS, Baker B. E-leadership: re-examining transformations in leadership source and transmission. The Leadership Quarterly. 2014;25(1):105–131. doi: 10.1016/j.leaqua.2013.11.003. - DOI
    1. Baroudi JJ, Orlikowski WJ. A short-form measure of user information satisfaction: a psychometric evaluation and notes on use. Journal of Management Information Systems. 1988;4(4):44–59. doi: 10.1080/07421222.1988.11517807. - DOI

LinkOut - more resources