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Factors affecting the choices of adoption/non-adoption of future technologies during coronavirus pandemic

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  • Cobelli, Nicola
  • Cassia, Fabio
  • Burro, Roberto

Abstract

The literature describes the potential for using future services technologies in public health emergencies. The ongoing coronavirus pandemic is resulting in unparalleled challenges to healthcare services in almost all countries, requiring innovative methods of practicing across health professions. Factors affecting pharmacists’ choice of telemedicine adoption/non-adoption are yet to be examined, especially in Italy. Thus, we investigate the behavioral intentions of pharmacists related to telemedicine, as a future services technology, in the current pandemic context. Our model draws on the theory of planned behavior and extends it to investigate the mechanisms underlying attitude formation to telemedicine adoption through a cross-sectional approach, using a questionnaire-based survey. The model has medium-to-high power in predicting telemedicine adoption intention, and the two significant direct antecedents of the target construct (attitude to telemedicine, and perceived behavioral control) are almost equally important. The psychological mechanisms linked to the tendency to implement emerging technology are complex and have major management effects. Studies in this field are yet to focus on the issues that affect the pharmacists’ decision regarding adopting or not adopting telemedicine, as a future services technology.

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  • Cobelli, Nicola & Cassia, Fabio & Burro, Roberto, 2021. "Factors affecting the choices of adoption/non-adoption of future technologies during coronavirus pandemic," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    • Handle: RePEc:eee:tefoso:v:169:y:2021:i:c:s0040162521002468
    DOI: 10.1016/j.techfore.2021.120814
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    References listed on IDEAS

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    1. Serdar S. Durmusoglu & Dilek Zamantili Nayir & Malika Chaudhuri & Junsong Chen & Ingela Joens & Stephanie Scheuer, 2018. "Barriers to firm service innovativeness in emerging economies," Post-Print hal-02312312, HAL.
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    Cited by:

    1. Chauhan, Ankur & Jakhar, Suresh Kumar & Jabbour, Charbel Jose Chiappetta, 2022. "Implications for sustainable healthcare operations in embracing telemedicine services during a pandemic," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. Makoto Niwa & Yeongjoo Lim & Shintaro Sengoku & Kota Kodama, 2022. "A Layered Adopter-Structure Model for the Download of COVID-19 Contact Tracing Apps: A System Dynamics Study for mHealth Penetration," IJERPH, MDPI, vol. 19(7), pages 1-15, April.
    3. Chakraborty, Debarun & Polisetty, Aruna & G, Sowmya & Rana, Nripendra P. & Khorana, Sangeeta, 2024. "Unlocking the potential of AI: Enhancing consumer engagement in the beauty and cosmetic product purchases," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    4. Cobelli, Nicola & Cassia, Fabio & Zardini, Alessandro & Kuppelwieser, Volker G., 2024. "Pharmacies providing health services: Attitudes toward eHealth in Italy," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    5. Passarelli, Mariacarmela & Bongiorno, Giuseppe & Cucino, Valentina & Cariola, Alfio, 2023. "Adopting new technologies during the crisis: An empirical analysis of agricultural sector," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    6. Trieste, Leopoldo & Geisler, Elie & Turchetti, Giuseppe, 2022. "Columbus' egg and the engineer's effect in forecasting solutions adoption," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    7. Ong, Ardvin Kester S. & Kurata, Yoshiki B. & Castro, Sophia Alessandra D.G. & De Leon, Jeanne Paulene B. & Dela Rosa, Hazel V. & Tomines, Alex Patricia J., 2022. "Factors influencing the acceptance of telemedicine in the Philippines," Technology in Society, Elsevier, vol. 70(C).

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