Short answer
Focus on demonstrating tangible benefits and ensuring a high-quality, reliable user experience, supported by strong organizational endorsement, to foster long-term adoption of complex enterprise systems.
- Field
- User-Centred Design
- Source
- Heliyon (2023)
- Method
- Quantitative research using Structural Equation Modeling (SEM).
- Sample
- 237 participants
- Evidence
- Strong effect
Users are more likely to continue using Enterprise Resource Planning (ERP) systems when they perceive the system as useful and when the system's quality and the information it provides are high. This user-centred design research insight is drawn from a 2023 study published in Heliyon. Using Quantitative research using structural equation modeling (sem). with 237 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Focus on demonstrating tangible benefits and ensuring a high-quality, reliable user experience, supported by strong organizational endorsement, to foster long-term adoption of complex enterprise systems.
Perceived Usefulness and System Quality Drive ERP Continuance Intention
Users are more likely to continue using Enterprise Resource Planning (ERP) systems when they perceive the system as useful and when the system's quality and the information it provides are high.
Heliyon · 2023
Key Findings
- 01Perceived usefulness positively impacts the intention to continue using ERP systems.
- 02System quality and information quality significantly influence perceived usefulness and perceived ease of use.
- 03Top management support is a critical determinant of continuance intention.
Application
Design takeaway
Focus on demonstrating tangible benefits and ensuring a high-quality, reliable user experience, supported by strong organizational endorsement, to foster long-term adoption of complex enterprise systems.
How to apply
When designing or evaluating enterprise software, conduct user research to identify key perceived benefits and assess system/information quality. Secure executive sponsorship early in the design process.
Project actions
- 01When evaluating software, ask users not just if they *can* use it, but if they *want* to keep using it and why.
- 02Consider how system performance and data accuracy might affect user satisfaction and continued use.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Integrates multiple theoretical frameworks (TOE, TAM, IS Success Model).
- +Uses a robust statistical method (PLS-SEM) for analysis.
Limitations
This study is based on self-reported intentions, which may not perfectly reflect actual behavior. The specific ERP system and organizational context could influence results.
Reliability & validity
The use of SEM suggests a rigorous statistical approach. However, the reliance on self-reported data for intention and perceptions introduces potential for social desirability bias, impacting validity. The sample size of 237 provides a reasonable basis for statistical inference, contributing to reliability.
Think critically
How might the specific industry or organizational culture moderate the impact of perceived usefulness and management support on ERP continuance intention?
Design Principles
"For complex system adoption, perceived utility, system reliability, and organizational endorsement are paramount for sustained user engagement."
Understanding the factors that encourage continued use of complex software like ERP systems is crucial for successful implementation and return on investment. Designers and developers can leverage these insights to create systems that better meet user needs and are more likely to be adopted long-term.
What This Means for Your Design
People will keep using a computer system at work if they think it helps them do their job better, and if the system itself works well and gives them good information. Management support is also really important.
How to use in your project
- 1.Reference this study when discussing factors influencing user adoption and retention of technology, particularly in organizational contexts.
- 2.Use the findings to justify design choices aimed at improving perceived usefulness or system quality.
Add to My Project
Quick Cite
Paragraph starter
Research indicates that the intention to continue using complex enterprise systems like ERP is significantly influenced by perceived usefulness, which in turn is shaped by system quality and information quality. Furthermore, strong top management support is a critical driver of sustained usage, highlighting the importance of both user-centric design and organizational strategy in technology adoption.
Source
Heliyon
Understanding continuance intention of enterprise resource planning (ERP): TOE, TAM, and IS success model
journal · 2023
View sourceQuestions About This Research
- What does the research say about perceived usefulness and system quality drive erp continuance intention?
- Focus on demonstrating tangible benefits and ensuring a high-quality, reliable user experience, supported by strong organizational endorsement, to foster long-term adoption of complex enterprise systems. Evidence: Heliyon (2023).
- Why does "Perceived Usefulness and System Quality Drive ERP Continuance Intention" matter for design?
- Understanding the factors that encourage continued use of complex software like ERP systems is crucial for successful implementation and return on investment. Designers and developers can leverage these insights to create systems that better meet user needs and are more likely to be adopted long-term.
- How can designers apply this research?
- Focus on demonstrating tangible benefits and ensuring a high-quality, reliable user experience, supported by strong organizational endorsement, to foster long-term adoption of complex enterprise systems.
- What were the main findings?
- Perceived usefulness positively impacts the intention to continue using ERP systems.. System quality and information quality significantly influence perceived usefulness and perceived ease of use.. Top management support is a critical determinant of continuance intention.
- What research method was used?
- Quantitative research using Structural Equation Modeling (SEM). with 237 participants.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2023 journal from Heliyon.
- What should I do differently in my next project?
- When designing or evaluating enterprise software, conduct user research to identify key perceived benefits and assess system/information quality. Secure executive sponsorship early in the design process.
- What are the limitations?
- The study focuses on ERP systems, and findings may not generalize to all types of enterprise software. The context is limited to workplaces where ERP is already implemented.