Information System Success Evaluation and User Satisfaction

Summary

Evaluation of information system success and user satisfaction centres on frameworks that encompass multiple quality dimensions and their impact on system use, user perceptions and organisational benefits. The DeLone and McLean model remains the dominant paradigm, identifying system quality, information quality and service quality as antecedents of use and user satisfaction, which in turn drive net benefits. Recent scholarship has extended this model to incorporate constructs such as trust, organisational culture, self-efficacy and task complexity. Empirical studies employ structural equation modelling and importance-performance analyses to reveal how quality dimensions interact with contextual factors across domains including finance, healthcare and public services. Practical applications emphasise user-centred design, targeted training, security safeguards and performance benchmarking to optimise both routine and advanced system use and to enhance decision-making, efficiency and user engagement on a global scale.

Research from Nature Portfolio

No recent Nature Portfolio content available.

Information System Success Evaluation and User Satisfaction publication trend

The graph below shows the total number of articles in information system success evaluation and user satisfaction across all publications each year (not limited to Nature Index journals).

Technical terms

DeLone and McLean Information Systems Success Model (D&M model): A framework identifying system quality, information quality, service quality, use, user satisfaction and net benefits as core dimensions of information system success.

System quality: The performance attributes of an information system, including reliability, usability and response time.

Information quality: The accuracy, relevance and timeliness of information produced by a system.

Service quality: The support and assistance provided to users, encompassing training, technical support and customisation.

User satisfaction: The degree to which users’ expectations are met by system performance and outcomes.

Net benefits: The positive organisational or individual outcomes resulting from system use, such as improved decision-making or productivity.

References

  1. Determinants and consequences of routine and advanced use of business intelligence (BI) systems by management accountants. Information & Management (2024).
  2. Factors Influencing Clinicians’ Use of Hospital Information Systems for Infection Prevention and Control: Cross-Sectional Study Based on the Extended DeLone and McLean Model. Journal of Medical Internet Research (2023).
  3. The role of awareness in appraising the success of E-government systems. Cogent Business & Management (2023).

About these summaries

This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.

Nature Strategy Reports
Turn complex research questions into confident strategic decisions 

When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.

  • Benchmark your performance against global peers using robust, methodologically sound analysis.

  • Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.

  • Gain tailored, decision-ready recommendations aligned to your strategic priorities.

Talk to us to learn more about our data dashboards and bespoke strategy reports.

Nature Masterclasses
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.

Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:

  • Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.

  • Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.

  • Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.

Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.