IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i22p9488-d445179.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/22/9488/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/22/9488/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    2. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    3. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    4. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    5. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    6. Chua Chang Jin & Lim Chee Seong & Aye Aye Khin, 2019. "Factors Affecting the Consumer Acceptance towards Fintech Products and Services in Malaysia," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 59-65, January.
    7. Yang, Byunghwa & Kim, Youngchan & Yoo, Changjo, 2013. "The integrated mobile advertising model: The effects of technology- and emotion-based evaluations," Journal of Business Research, Elsevier, vol. 66(9), pages 1345-1352.
    8. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    9. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    10. Yang-Chieh Chin, 2016. "Consumer Acceptance of Online Complaint Forms: An Integration of TPB, TAM and Values Perspective," Business and Economic Research, Macrothink Institute, vol. 6(2), pages 265-279, December.
    11. Mariani, Marcello M. & Ek Styven, Maria & Teulon, Fréderic, 2021. "Explaining the intention to use digital personal data stores: An empirical study," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    12. Masud Rana & Gazi Md. Shakhawat Hossain & Maruf Hasan, 2020. "Effectiveness of entrepreneurship skill development training – A case study at RUDSETI in Chitradurga District, Karnataka," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 11(3), pages 30-44, September.
    13. Jaydeep Mukherjee, 2016. "A comprehensive framework for adoption of mobile broadband services in Indian cities," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 6(1), pages 9-25, January.
    14. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    15. Gary Cokins & Ionica Oncioiu & Mirela Cătălina Türkeș & Dan Ioan Topor & Sorinel Căpuşneanu & Carmen Adina Paștiu & Delia Deliu & Alina Nicoleta Solovăstru, 2020. "Intention to Use Accounting Platforms in Romania: A Quantitative Study on Sustainability and Social Influence," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    16. Lu, Chin-Shan & Lai, Kee-hung & Cheng, T.C.E., 2007. "Application of structural equation modeling to evaluate the intention of shippers to use Internet services in liner shipping," European Journal of Operational Research, Elsevier, vol. 180(2), pages 845-867, July.
    17. Türker, Cansu & Altay, Burak Can & Okumuş, Abdullah, 2022. "Understanding user acceptance of QR code mobile payment systems in Turkey: An extended TAM," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    18. Andrei OGREZEANU, 2015. "Models Of Technology Adoption: An Integrative Approach," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 5, pages 55-67, June.
    19. Allam, Hesham & Bliemel, Michael & Spiteri, Louise & Blustein, James & Ali-Hassan, Hossam, 2019. "Applying a multi-dimensional hedonic concept of intrinsic motivation on social tagging tools: A theoretical model and empirical validation," International Journal of Information Management, Elsevier, vol. 45(C), pages 211-222.
    20. Iviane Ramos-de-Luna & Francisco Montoro-Ríos & Francisco Liébana-Cabanillas, 2016. "Determinants of the intention to use NFC technology as a payment system: an acceptance model approach," Information Systems and e-Business Management, Springer, vol. 14(2), pages 293-314, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9488-:d:445179. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.