CIS 515 • Bellevue University

Resistance to Change in
Information Systems &
Digital Transformation

A peer-reviewed research website that explores why employees often resist new systems and how organizations can successfully guide digital change.

Group: Aiydn, Midori, Erick, & Michael
Explore the Research

"Resistance should not be interpreted as a mere obstacle to be removed."

(Cavalcante et al., 2025)

01 Abstract

New information systems are usually introduced to improve operations, support better decisions, and boost overall performance. Yet resistance to change often gets in the way of these benefits when organizations roll out new systems, automation tools, or digital transformation projects. This research looks at the many factors that create resistance, including employee concerns, system design problems, management support, perceived benefits, perceived inertia, and organizational culture. The studies we reviewed show that resistance is not always something that simply needs to be eliminated. Instead, it can point to deeper issues with communication, training, planning, or how the new system fits into people's daily work. Effective ways to address resistance include clearer communication, early employee involvement, strong leadership support, thorough training, peer encouragement, and continued help after the system goes live. In the end, successful implementation depends on paying close attention to both the technology and the people who will actually use it.

Building on the draft paper outline, we emphasize that treating resistance as diagnostic feedback, rather than a problem to crush, dramatically raises adoption rates and ROI.

Bar chart of major drivers of user resistance in information system implementation

02 Introduction

Organizations bring in new information systems, automation tools, and digital transformation projects hoping to work more efficiently, make better decisions, and stay competitive. Even so, the human side of these changes is often overlooked. Employees do not automatically embrace new technology just because it works on paper. Research shows that resistance to change can seriously hurt the success of digital transformation efforts (Valtonen & Holopainen, 2025; Resende et al., 2026). This presentation examines why resistance happens and how organizations can address it by balancing strong technical solutions with thoughtful, human-centered strategies. From my own IT experience, I've seen projects stall not because of bad code but because the people side was treated as an afterthought.

03 Background and Causes of Resistance to Change

Resistance to change includes any behavior that tries to keep things the way they are when a new system arrives. It can show up as open opposition, quiet non-compliance, or even subtle habits that slow things down. Common reasons include worries about job security, major changes to daily workflows, confusing system design, a general reluctance to let go of old ways, lack of support from leaders, and a company culture that prefers tradition over innovation (Resende et al., 2026; Valtonen & Holopainen, 2025; Cavalcante et al., 2025).

"Resistance was associated with personal factors such as a reactive mindset, myopia, and embedded routines."

(Cavalcante et al., 2025)

Recognizing these causes matters because resistance often reveals deeper problems that need attention before a project can truly succeed.

Chart showing individual and organizational sources of resistance to information systems change

Job Security Fears

Automation often triggers concerns about role elimination or reduced hours.

Workflow Disruption

Daily routines change dramatically, creating uncertainty and frustration.

Lack of Involvement

Employees feel decisions are made without their input or expertise.

04 Theoretical Frameworks

Researchers rely on several established models to understand why people resist new systems and what encourages them to accept change. The Technology Acceptance Model (TAM) and its more complete version, the Unified Theory of Acceptance and Use of Technology (UTAUT), are among the most common. These frameworks show that people are more likely to adopt a new system when they see it as useful and easy to use (Resende et al., 2026).

"Management support and perceived direct and indirect benefits were positively related to the acceptance of DT intentions."

(Huang et al., 2023)

Other helpful perspectives include dual-factor models for digital transformation and the Theory of Planned Behavior paired with user-resistance concepts (Huang et al., 2023; Lee et al., 2025). Together these approaches remind us that resistance comes from a combination of personal feelings, team influences, and how well the new system fits into everyday work. For IT managers the message is clear: focus on real benefits, reduce uncertainty with good training and communication, and keep leadership visibly involved (Valtonen & Holopainen, 2025).

Diagram of Technology Acceptance Model (TAM) and UTAUT constructs showing factors influencing adoption and resistance

05 Strategies for Overcoming Resistance

The most successful approaches focus directly on the root causes. Key strategies include open and honest communication, early involvement of employees, thorough training programs, visible support from leaders, and strong peer networks. These steps help people feel heard and supported throughout the change process (Valtonen & Holopainen, 2025; Huang et al., 2023; Lee et al., 2025).

Organizations need “active listening, conflict mediation, and continuing education processes.”

(Cavalcante et al., 2025)

Infographic chart listing key strategies for overcoming resistance in digital transformation

Transparent Communication

Early Employee Involvement

Targeted Training Programs

Ongoing Leadership Support

06 Case Applications and Practitioner Recommendations

Real-world examples from public-sector digital procurement systems, robotic process automation projects, and broader digital transformations show that even well-designed systems can meet strong resistance when the human side is ignored (Cavalcante et al., 2025; Lee et al., 2025; Huang et al., 2023).

"Even when an information system is evaluated as intuitive and interactive, it may still face user resistance."

(Cavalcante et al., 2025)

IT managers can improve outcomes by conducting thorough stakeholder analysis before rollout, using phased implementation with regular feedback, offering role-specific training, and continuing support after go-live.

Chart or pie graph showing RPA adoption and resistance factors in public sector and other industries

07 Conclusion

Successful information system projects depend on both solid technology and careful attention to the people who will use it. Resistance to change should be seen as useful feedback rather than something that simply needs to be eliminated (Cavalcante et al., 2025; Resende et al., 2026). When organizations address the human side through thoughtful planning, communication, training, and ongoing support, they dramatically increase their chances of real success.

“Alignment between the system’s objectives and the realities of everyday work is essential for success.”

(Adapted from Cavalcante et al., 2025)

Key Takeaways for IT Managers

1. Treat resistance as valuable feedback, not an obstacle to be removed.

2. Prioritize clear communication, early employee involvement, and strong leadership support.

3. Provide comprehensive training and ongoing support to align systems with real-world daily workflows.

Applying these takeaways significantly increases the likelihood of successful digital transformation and higher user adoption rates.

References

Cavalcante, E. F. G., Vilela, B. de A., Ferreira, R. F. C., & Souza Junior, W. C. de. (2025). Digital transformation in the public sector: User resistance to the federal procurement management system. Revista de Administração Pública. https://periodicos.fgv.br/rap/article/download/94578/88110

Huang, C.-K., Lee, C. A., & Chen, Y.-N. (2023). The duality determinants of adoption intention in digital transformation implementation. Journal of Organizational and End User Computing, 35(3), 1–28. https://doi.org/10.4018/JOEUC.330534

Lee, K., Zo, H., & Jeong, M. (2025). Understanding user acceptance of robotic process automation: The user resistance perspective. Industrial Management & Data Systems, 125(3), 1000–1019. https://doi.org/10.1108/IMDS-07-2024-0628

Resende, S. L., Dias, G. P., & Correia, P. (2026). Resistance to digital transition: A literature review. Applied Operations and Analytics, 2(1). https://doi.org/10.1080/29966892.2026.2630450

Valtonen, A., & Holopainen, M. (2025). Mitigating employee resistance and achieving well-being in digital transformation. Information Technology & People, 38(8), 42–72. https://doi.org/10.1108/ITP-05-2024-0701