Status Quo Bias in Users Information Systems (IS) Adoption and Continuance Intentions: A Literature Review and Framework

TL;DR

This paper reviews how status quo bias influences users' decisions to adopt or continue using information systems, providing a framework to better understand and address user resistance in digital transformation.

Contribution

It offers a systematic literature review and a comprehensive framework that integrates psychological factors and constructs related to status quo bias in IS adoption.

Findings

Identifies key psychological factors influencing SQB in IS decisions

Proposes a framework linking SQB theory to user resistance factors

Highlights areas for future research on reducing resistance

Abstract

Information systems (IS) adoption and continuance intentions of users have a dominant effect on digital transformation in organisations. However, organisations undergoing digital transformation face substantial barriers due to user resistance to IS implementations. Status quo bias (SQB) plays a vital role in users decision-making regarding adopting new IS or continuing to use existing IS. Despite recent research to validate the effects of SQB on user resistance to IS implementations, how SQB affects the IS adoption and continuance intentions of users remains poorly understood, making it harder to develop ways of successfully dealing with it. To address the gap, we performed a systematic literature review on SQB in IS research. Our proposed framework incorporates the psychological phenomena promoting the status quo, SQB theory constructs, levels of SQB influence, and factors reducing the user resistance to IS implementations to enhance the understanding of IS adoption and continuance intentions.