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Pharmacists' attitudes and intention to adopt telemedicine: Integrating the market-orientation paradigm and the UTAUT

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  • Cobelli, Nicola
  • Cassia, Fabio
  • Donvito, Raffaele

Abstract

The severe impact of the SARS-CoV-2 (COVID-19) virus on healthcare systems caused a sharp increase in patients' demand for telemedicine. Despite this acceleration, and while telemedicine is usually associated with the transition to a market-oriented paradigm in healthcare, available studies have not examined to what extent health professionals' attitudes and intention to adopt telemedicine are shaped by customers' demand. This study addressed this gap by proposing a model that combines the market-orientation paradigm with the unified theory of acceptance and use of technology (UTAUT) to explain pharmacists' attitudes toward telemedicine and its adoption. The findings from a survey of 202 pharmacists revealed that market orientation is positively associated with performance expectancy, effort expectancy, and social influence but negatively related to facilitating conditions. In turn, performance expectancy, effort expectancy and facilitating conditions affect the intention to adopt telemedicine. These findings have implications for the network of actors involved in the provision of telemedicine services.

Suggested Citation

  • Cobelli, Nicola & Cassia, Fabio & Donvito, Raffaele, 2023. "Pharmacists' attitudes and intention to adopt telemedicine: Integrating the market-orientation paradigm and the UTAUT," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    • Handle: RePEc:eee:tefoso:v:196:y:2023:i:c:s0040162523005565
    DOI: 10.1016/j.techfore.2023.122871
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    1. Patricia Baudier & Galina Kondrateva & Chantal Ammi & Victor Chang & Francesco Schiavone, 2021. "Patients’ perceptions of teleconsultation during COVID-19: a cross-national study," Post-Print hal-03052149, HAL.
    2. Jiang, Syuan-Yi, 2022. "Transition and innovation ecosystem – investigating technologies, focal actors, and institution in eHealth innovations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Takata, Hidesuke, 2016. "Effects of industry forces, market orientation, and marketing capabilities on business performance: An empirical analysis of Japanese manufacturers from 2009 to 2011," Journal of Business Research, Elsevier, vol. 69(12), pages 5611-5619.
    4. Tamilmani, Kuttimani & Rana, Nripendra P. & Wamba, Samuel Fosso & Dwivedi, Rohita, 2021. "The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation," International Journal of Information Management, Elsevier, vol. 57(C).
    5. Stephen L. Vargo & Robert F. Lusch, 2016. "Institutions and axioms: an extension and update of service-dominant logic," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 5-23, January.
    6. Kamal, Syeda Ayesha & Shafiq, Muhammad & Kakria, Priyanka, 2020. "Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)," Technology in Society, Elsevier, vol. 60(C).
    7. Iyanna, Shilpa & Kaur, Puneet & Ractham, Peter & Talwar, Shalini & Najmul Islam, A.K.M., 2022. "Digital transformation of healthcare sector. What is impeding adoption and continued usage of technology-driven innovations by end-users?," Journal of Business Research, Elsevier, vol. 153(C), pages 150-161.
    8. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    9. Kraus, Sascha & Schiavone, Francesco & Pluzhnikova, Anna & Invernizzi, Anna Chiara, 2021. "Digital transformation in healthcare: Analyzing the current state-of-research," Journal of Business Research, Elsevier, vol. 123(C), pages 557-567.
    10. Bernard J. Jaworski & Ajay K. Kohli, 2017. "Conducting field-based, discovery-oriented research: lessons from our market orientation research experience," AMS Review, Springer;Academy of Marketing Science, vol. 7(1), pages 4-12, June.
    11. Matias Busso & Maria P. Gonzalez & Carlos Scartascini, 2022. "On the demand for telemedicine: Evidence from the COVID‐19 pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 1491-1505, July.
    12. Tsiotsou, Rodoula H. & Boukis, Achilleas, 2022. "In-home service consumption: A systematic review, integrative framework and future research agenda," Journal of Business Research, Elsevier, vol. 145(C), pages 49-64.
    13. Getachew Hailemariam Mengesha & Monica J. Garfield, 2019. "A contextualized IT adoption and use model for telemedicine in Ethiopia," Information Technology for Development, Taylor & Francis Journals, vol. 25(2), pages 184-203, April.
    14. William Black & Barry J. Babin, 2019. "Multivariate Data Analysis: Its Approach, Evolution, and Impact," Springer Books, in: Barry J. Babin & Marko Sarstedt (ed.), The Great Facilitator, pages 121-130, Springer.
    15. Baudier, Patricia & Kondrateva, Galina & Ammi, Chantal & Chang, Victor & Schiavone, Francesco, 2021. "Patients’ perceptions of teleconsultation during COVID-19: A cross-national study," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    16. Tsai, Juin-Ming & Cheng, Min-Jhih & Tsai, Her-Her & Hung, Shiu-Wan & Chen, Ya-Ling, 2019. "Acceptance and resistance of telehealth: The perspective of dual-factor concepts in technology adoption," International Journal of Information Management, Elsevier, vol. 49(C), pages 34-44.
    17. G. Tomas M. Hult & David J. Ketchen & Stanley F. Slater, 2005. "Market orientation and performance: an integration of disparate approaches," Strategic Management Journal, Wiley Blackwell, vol. 26(12), pages 1173-1181, December.
    18. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    19. Nathaniel D. Line & Rodney C. Runyan & Tracy Gonzalez-Padron, 2019. "Multiple stakeholder market orientation: a service-dominant logic perspective of the market orientation paradigm," AMS Review, Springer;Academy of Marketing Science, vol. 9(1), pages 42-60, June.
    20. 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.
    21. Arfi, Wissal Ben & Nasr, Imed Ben & Kondrateva, Galina & Hikkerova, Lubica, 2021. "The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    22. 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.
    23. Duarte, Paulo & Pinho, José Carlos, 2019. "A mixed methods UTAUT2-based approach to assess mobile health adoption," Journal of Business Research, Elsevier, vol. 102(C), pages 140-150.
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