WHEN DATA BECOMES AUTHORITY: TRUST IN ANALYTICS AND DECISION-MAKING IN SMALL AND MEDIUM-SIZED ENTERPRISES

Authors

DOI:

https://doi.org/10.35631/IJEMP.934007

Keywords:

Data Analytics, Trust, Decision-Making, SMEs, Sociotechnical Systems, Trust Calibration Loop, Organisational Communication

Abstract

Data analytics is increasingly embedded in Small and Medium-sized Enterprise (SME) decision-making, where dashboards and performance metrics are commonly treated as objective and authoritative bases for managerial judgement. While prior research has focused on analytics adoption and performance outcomes, limited attention has been given to how trust in analytics shapes decision-making after adoption. Drawing on theories of trust, organisational sensemaking, automation bias, and sociotechnical critiques of quantification, this conceptual paper develops the Trust Calibration Loop to explain how analytics acquires, stabilises, or loses authority through iterative cycles of interpretation, decision action, and outcome feedback. Accordingly, the model conceptualises trust as a dynamic, post-adoption process through which analytics is legitimised, contested, or marginalised in organisational practice. By foregrounding trust as a communicative and interpretive mechanism, the paper advances business communication and information systems literature. In addition, it highlights the risks of both uncritical reliance on analytics and premature scepticism in SME decision-making.

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Published

2026-06-03

How to Cite

Jonit, Z., & Rozali, N. (2026). WHEN DATA BECOMES AUTHORITY: TRUST IN ANALYTICS AND DECISION-MAKING IN SMALL AND MEDIUM-SIZED ENTERPRISES. INTERNATIONAL JOURNAL OF ENTREPRENEURSHIP AND MANAGEMENT PRACTISES (IJEMP), 9(34), 110–121. https://doi.org/10.35631/IJEMP.934007