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The effects of planned behavior model constructs and technology acceptance model constructs on online purchasing behavior: An empirical study on internet users in the Libya city of Tripoli

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  • Mohammed Akhmaaj, Asmaeil Ali
  • Sharif, Mohamed Omar

Abstract

The current study aimed to investigate the results of integrating the planned behavior model with the technology acceptance adoption model, and the differences between age groups in direct and indirect relationships. The empirical data of 203 online purchasing users from the Libyan city of Tripoli via Google surveys analyzed using Structural Equation Modelling. The questionnaire was employed and measured by TPB and TAM models. The most important findings reached are the presence of a significant direct effect of social influence and perceived behavior control impact on purchasing behavior because of the age group of 30–50 years. Likewise, perceived of use has a significant effect on purchasing behavior due to of the age group of 30–50 years and the age group of more than 50 years. Three out of four hypotheses were supported: purchase intention mediates the relationship between social influence and perceived behavior control, perceived usefulness, and ease of use on the one hand and purchasing behavior on the other hand. More, there are significant differences indirect effects of social influence and perceived behavior control and perceived usefulness on purchasing behavior due to the variable of age, more specifically in the age group of (30–50 years), while it was not significant in the other age groups. The research also discussed future directions for research in the field of technology use.

Suggested Citation

  • Mohammed Akhmaaj, Asmaeil Ali & Sharif, Mohamed Omar, 2024. "The effects of planned behavior model constructs and technology acceptance model constructs on online purchasing behavior: An empirical study on internet users in the Libya city of Tripoli," Technology in Society, Elsevier, vol. 79(C).
  • Handle: RePEc:eee:teinso:v:79:y:2024:i:c:s0160791x24002355
    DOI: 10.1016/j.techsoc.2024.102687
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    References listed on IDEAS

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    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Kareem M. Selem & Muhammad Haroon Shoukat & Syed Asim Shah & Marianny Jessica Brito Silva, 2023. "The dual effect of digital communication reinforcement drivers on purchase intention in the social commerce environment," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    5. Anastasia Theodorou & Leonidas Hatzithomas & Thomas Fotiadis & Anastasios Diamantidis & Antonios Gasteratos, 2023. "The Impact of the COVID-19 Pandemic on Online Consumer Behavior: Applying the Theory of Planned Behavior," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    6. Adnan Ahmed Sheikh & Naeem Ahmad Rana & Aneeq Inam & Arfan Shahzad & Hayat Muhammad Awan, 2018. "Is e-marketing a source of sustainable business performance? Predicting the role of top management support with various interaction factors," Cogent Business & Management, Taylor & Francis Journals, vol. 5(1), pages 1516487-151, January.
    7. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
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