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Applying the Technology Acceptance Model to Assess the Intention to Use an Aftermarket eCall Based on 112 Device for Passenger Vehicles to Ensure Sustainable Rescue Operations on European Roads

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  • Alexandra Perju-Mitran

    (Management-Marketing Department, Romanian-American University, 1B Expoziţiei Blvd., Sector 1, 012101 Bucharest, Romania)

  • Daniela Zirra

    (Trade, Economic Integration and Business Administration Department, Romanian-American University, 1B Expoziţiei Blvd., Sector 1, 012101 Bucharest, Romania)

  • George Căruţaşu

    (Informatics, Statistics and Mathematics Department, Romanian-American University, 1B Expoziţiei Blvd., Sector 1, 012101 Bucharest, Romania
    Doctoral School, University Politehnica of Timișoara, Piața Victoriei 2, 300006 Timișoara, Romania)

  • Alexandru Pîrjan

    (Informatics, Statistics and Mathematics Department, Romanian-American University, 1B Expoziţiei Blvd., Sector 1, 012101 Bucharest, Romania)

  • Justina-Lavinia Stănică

    (Informatics, Statistics and Mathematics Department, Romanian-American University, 1B Expoziţiei Blvd., Sector 1, 012101 Bucharest, Romania)

Abstract

Sustainable, improved rescue operations contribute to both the safety of traffic participants and the quality of transportation services. From this perspective, we considered the need to determine to what extent the target audience, consisting of owners and/or users of road vehicles, is prepared to purchase and use an eCall In-Vehicle System (eCall IVS) for passenger vehicles, using the Technology Acceptance Model (TAM) as a research framework. To confirm the hypotheses of our research, we resorted to structural equation modelling (SEM), based on the analysis of variance (PLS—partial least squares), and we were able to validate all the causal relationships of the conceptual model, with significant path coefficients at a chosen significance threshold of p < 0.01. Analyzing the obtained results achieved in the field of eCall IVS, one can state that the integration of these approaches with the TAM research framework gives a much more complete picture of a driver’s acceptance of using an aftermarket eCall IVS, which can also serve as a starting point in aftermarket vehicle implementation and future studies.

Suggested Citation

  • Alexandra Perju-Mitran & Daniela Zirra & George Căruţaşu & Alexandru Pîrjan & Justina-Lavinia Stănică, 2020. "Applying the Technology Acceptance Model to Assess the Intention to Use an Aftermarket eCall Based on 112 Device for Passenger Vehicles to Ensure Sustainable Rescue Operations on European Roads," Sustainability, MDPI, vol. 12(22), pages 1-23, November.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9488-:d:445179
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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. 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.
    3. Kock, Ned, 2019. "Factor-based structural equation modeling with WarpPLS," Australasian marketing journal, Elsevier, vol. 27(1), pages 57-63.
    4. Rodney Duffett & Dana-Mihaela Petroșanu & Iliuta-Costel Negricea & Tudor Edu, 2019. "Effect of YouTube Marketing Communication on Converting Brand Liking into Preference among Millennials Regarding Brands in General and Sustainable Offers in Particular. Evidence from South Africa and ," Sustainability, MDPI, vol. 11(3), pages 1-24, January.
    5. Hamed Taherdoost, 2018. "A review of technology acceptance and adoption models and theories," Post-Print hal-03741843, HAL.
    6. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    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.
    8. Farrell, Andrew M., 2010. "Insufficient discriminant validity: A comment on Bove, Pervan, Beatty, and Shiu (2009)," Journal of Business Research, Elsevier, vol. 63(3), pages 324-327, March.
    9. Daniela Zirra & Alexandra Perju-Mitran & George Căruţaşu & Alexandru Pîrjan & Eugen Gabriel Garais, 2020. "An Analysis of the Socio-Economic and Human Life Impact of Implementing the eCall In Vehicle System (IVS) in the Purpose of Ensuring Sustainable, Improved Rescue Operations on European Roads," Sustainability, MDPI, vol. 12(13), pages 1-23, July.
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    1. Calotă Irina & Perju-Mitran Alexandra & Pancă Cristina Chira & Semenescu Augustin, 2025. "Applying the TAM Model in Assessing Pro-electrification Behavior in Road Transport. A SEM Approach," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 19(1), pages 1957-1968.

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