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A Comparison of Structural Equation Modeling Approaches with DeLone & McLean’s Model: A Case Study of Radio-Frequency Identification User Satisfaction in Malaysian University Libraries

Author

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  • Ali Noudoostbeni

    (Department of Library & Information Science, Faculty of Computer Science & Information Technology, University Malaya, Kuala Lumpur 50603, Malaysia)

  • Kiran Kaur

    (Department of Library & Information Science, Faculty of Computer Science & Information Technology, University Malaya, Kuala Lumpur 50603, Malaysia)

  • Hashem Salarzadeh Jenatabadi

    (Department of Science and Technology Studies, Faculty of Science, University Malaya, Kuala Lumpur 50603, Malaysia)

Abstract

This paper focuses on the application of mathematical theories in the study of information system (IS) success factors. The main objective is to apply Delone and McLean’s IS success model for radio-frequency identification (RFID) sustainability in Malaysian university libraries. Two approaches are applied to estimate user satisfaction, such as the Bayesian and maximum likelihood estimation approaches. In order to identify the best approach, four mathematical indices are used, namely root mean squared error, absolute error, mean absolute percentage error, and the coefficient of determination. The results reveal that Bayesian estimation provides good fit to the data, unlike the model with the maximum likelihood estimator. This study addresses the causes for this difference between the two approaches, as well as the potential merits and shortcomings of the maximum likelihood approach. The current study presents a novel and practical modeling and prediction concept for researchers and experts in the field of computer science.

Suggested Citation

  • Ali Noudoostbeni & Kiran Kaur & Hashem Salarzadeh Jenatabadi, 2018. "A Comparison of Structural Equation Modeling Approaches with DeLone & McLean’s Model: A Case Study of Radio-Frequency Identification User Satisfaction in Malaysian University Libraries," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2532-:d:158785
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    References listed on IDEAS

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    1. Eugene Y. C. Wong & W. H. Wong, 2016. "The Development of Reusable Luggage Tag with the Internet of Things for Mobile Tracking and Environmental Sustainability," Sustainability, MDPI, vol. 9(1), pages 1-12, December.
    2. Umar Farooq & Wu Tao & Ganjar Alfian & Yong-Shin Kang & Jongtae Rhee, 2016. "ePedigree Traceability System for the Agricultural Food Supply Chain to Ensure Consumer Health," Sustainability, MDPI, vol. 8(9), pages 1-16, August.
    3. Byung-Wan Jo & Yun-Sung Lee & Jung-Hoon Kim & Do-Keun Kim & Pyung-Ho Choi, 2017. "Proximity Warning and Excavator Control System for Prevention of Collision Accidents," Sustainability, MDPI, vol. 9(8), pages 1-20, August.
    4. D. B. Dunson, 2000. "Bayesian latent variable models for clustered mixed outcomes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(2), pages 355-366.
    5. Sanghoon Lee & Eunil Park & Sang Jib Kwon & Angel P. Del Pobil, 2015. "Antecedents of Behavioral Intention to Use Mobile Telecommunication Services: Effects of Corporate Social Responsibility and Technology Acceptance," Sustainability, MDPI, vol. 7(8), pages 1-15, August.
    6. Che Wan Jasimah Bt Wan Mohamed Radzi & Hashem Salarzadeh Jenatabadi & Maisarah Binti Hasbullah, 2015. "Firm Sustainability Performance Index Modeling," Sustainability, MDPI, vol. 7(12), pages 1-17, December.
    7. Ferra Yanuar & Kamarulzaman Ibrahim & Abdul Aziz Jemain, 2013. "Bayesian structural equation modeling for the health index," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(6), pages 1254-1269, June.
    8. Fivos Papadimitriou, 2012. "The Algorithmic Complexity of Landscapes," Landscape Research, Taylor & Francis Journals, vol. 37(5), pages 591-611, October.
    9. Segars, A. H., 1997. "Assessing the unidimensionality of measurement: a paradigm and illustration within the context of information systems research," Omega, Elsevier, vol. 25(1), pages 107-121, February.
    10. Richard Scheines & Herbert Hoijtink & Anne Boomsma, 1999. "Bayesian estimation and testing of structural equation models," Psychometrika, Springer;The Psychometric Society, vol. 64(1), pages 37-52, March.
    11. Andrea Luvisi & Yiannis G. Ampatzidis & Luigi De Bellis, 2016. "Plant Pathology and Information Technology: Opportunity for Management of Disease Outbreak and Applications in Regulation Frameworks," Sustainability, MDPI, vol. 8(8), pages 1-12, August.
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    Cited by:

    1. Wei Gu & Ying Xu & Zeng-Jun Sun, 2021. "Does MOOC Quality Affect Users’ Continuance Intention? Based on an Integrated Model," Sustainability, MDPI, vol. 13(22), pages 1-16, November.

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