An information system success model for e-learning postadoption using the fuzzy analytic network process.

Area of Science:

• Educational Technology
• Information Systems
• Higher Education Management

Background:

• E-learning is underutilized by university lecturers, necessitating research into adoption factors.
• Existing models may not fully capture the nuances of e-learning postadoption in higher education.
• Understanding these factors is crucial for effective e-learning integration in Malaysian universities.

Purpose of the Study:

• To develop and validate an e-learning postadoption model specifically for Malaysian universities.
• To identify and rank the key factors influencing the successful adoption of e-learning by university lecturers.
• To provide a framework for improving e-learning strategies and resource allocation in higher education.

Main Methods:

• A quantitative approach using self-administered questionnaires distributed to 36 e-learning experts (lecturers) in Malaysian public and private universities.
• Data analysis employed the extent analysis method (Chang, 1996) to determine factor weights and rankings.
• The study adapted and extended the Information Systems Success Model for the e-learning context.

Main Results:

• Institution service quality emerged as the most critical factor for e-learning postadoption.
• System quality, content quality, instructors' characteristics, and learners' characteristics were also significant factors, ranked in descending order of importance.
• The study identified interdependencies among these factors within the Malaysian university context.

Conclusions:

• The developed e-learning postadoption model provides valuable insights for university administrators in Malaysia.
• Findings support strategic management decisions for enhancing e-learning effectiveness and resource allocation.
• The model can serve as a benchmark for developing rating systems to assess e-learning postadoption success.