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Online Database Adoption and Satisfaction Model

Über Online Database Adoption and Satisfaction Model

Consistent with its aim to become a research university, the International Islamic University Malaysia introduced its online database system in 2000 as part of its e-library services. Factors such as perceived benefits, computer self-efficacy and satisfaction were hypothesized to be major barriers. To test the influence of these factors on students'' adoption of the online database, an adoption questionnaire based on an extended Technology Acceptance Model (TAM) was administered. The questionnaire''s reliability and validity were established through a RASCH analysis while the data were analysed using the Structural Equation Modeling. The results revealed significant influences of perceived usefulness and computer self- efficacy on postgraduate students'' intention to use the database and their satisfaction in using it. In addition, perceived ease of use and intention to use were found to have a significant direct influence on satisfaction. The findings contributed to a better understanding of the TAM and technology adoption and satisfaction among postgraduate students.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9783844322552
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 100
  • Veröffentlicht:
  • 22. März 2011
  • Abmessungen:
  • 152x229x6 mm.
  • Gewicht:
  • 159 g.
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Verlängerte Rückgabefrist bis 31. Januar 2025

Beschreibung von Online Database Adoption and Satisfaction Model

Consistent with its aim to become a research university, the International Islamic University Malaysia introduced its online database system in 2000 as part of its e-library services. Factors such as perceived benefits, computer self-efficacy and satisfaction were hypothesized to be major barriers. To test the influence of these factors on students'' adoption of the online database, an adoption questionnaire based on an extended Technology Acceptance Model (TAM) was administered. The questionnaire''s reliability and validity were established through a RASCH analysis while the data were analysed using the Structural Equation Modeling. The results revealed significant influences of perceived usefulness and computer self- efficacy on postgraduate students'' intention to use the database and their satisfaction in using it. In addition, perceived ease of use and intention to use were found to have a significant direct influence on satisfaction. The findings contributed to a better understanding of the TAM and technology adoption and satisfaction among postgraduate students.

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