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Technology Acceptance Theories: Review and Classification

Author

Listed:
  • Alaa M. Momani

    (Faculty of Computer and Information Technology, Al-Madinah International University, Shah Alam, Malaysia)

  • Mamoun M. Jamous

    (Faculty of Computer and Information Technology, Al-Madinah International University, Shah Alam, Malaysia)

  • Shadi M S Hilles

    (Faculty of Computer and Information Technology, Al-Madinah International University, Shah Alam, Malaysia)

Abstract
Studying the acceptance and usage of technologies has become one of the most significant fields in software engineering domain. In order to explain the individuals' usage behavior towards technologies, many theories and models have been proposed over the years. This research paper focuses on reviewing a group of ten technology acceptance theories and models by studying their structure, evolution stages, and their strengths and weaknesses points. These theories were analyzed and classified into two main types depending on their development method and scientific field which they were developed in. This study reveals that these theories are almost similar in their structure, but different in explaining the behavioral intentions of technology. It considers that the best theory should be comprehensive and less complexity according to the number of the constructs and moderators which represent their structure. This will make the theory more understandable and applicable especially for studying the acceptance behavior for any new technology.

Suggested Citation

  • Alaa M. Momani & Mamoun M. Jamous & Shadi M S Hilles, 2017. "Technology Acceptance Theories: Review and Classification," International Journal of Cyber Behavior, Psychology and Learning (IJCBPL), IGI Global, vol. 7(2), pages 1-14, April.
  • Handle: RePEc:igg:jcbpl0:v:7:y:2017:i:2:p:1-14
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCBPL.2017040101
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    Cited by:

    1. Gnangnon, Sèna Kimm, 2020. "Internet and tax reform in developing countries," Information Economics and Policy, Elsevier, vol. 51(C).
    2. Ming Li & Xixi Liu & Zhonggen Yu, 2023. "Students' Emotional Perceptions and Attitudes Toward English Teacher Feedback in Cloud Classroom Learning Environments During the COVID-19 Pandemic," International Journal of Online Pedagogy and Course Design (IJOPCD), IGI Global, vol. 13(1), pages 1-17, January.
    3. Mortensen, Anders Winther & Mathiesen, Brian Vad & Hansen, Anders Bavnhøj & Pedersen, Sigurd Lauge & Grandal, Rune Duban & Wenzel, Henrik, 2020. "The role of electrification and hydrogen in breaking the biomass bottleneck of the renewable energy system – A study on the Danish energy system," Applied Energy, Elsevier, vol. 275(C).
    4. Florencia Verónica Pedroni & Gabriela Pesce & Anahí Briozzo, 2022. "Inclusión financiera, medios de pago electrónicos y evasión tributaria: análisis económico y aplicación en Argentina," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 41(73), pages 171-202, February.

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