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Is the Covid-19 pandemic strong enough to change the online order delivery methods? Changes in the relationship between attitude and behavior towards order delivery by drone

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  • Yaprak, Ümit
  • Kılıç, Fatih
  • Okumuş, Abdullah

Abstract

Delivery of products in online orders by drones has begun to be tested by major retailers. How about consumers? Are they ready for this? Due to the emergence of Covid-19 and its easy transmission from person to person, considering the risks in the streets, a lot of people have started to place their orders online. However, the interaction between the courier and the consumer during the order delivery has become a problem over time. Reducing people's anxiousness in such pandemic situations brings uncertainty about the delivery of the orders. The object of the research is to create a drone delivery system, which is an alternative delivery system that will be solution to these problems and is also used in a limited way around the world. With this study, whose theoretical background is based on the diffusion of innovations theory, technology acceptance model and protection motivation theory, it is aimed to test the relationship between consumer's perceptions, attitudes and behavioral intentions towards drone delivery of online orders. In this research, questionnaire method has been used for data collection and measurement. Moreover, the Structural Equation Modeling approach has been used for data analysis and validation of models. According to the results of this study, significant relationships have been identified between the consumers' perception of benefit and risk, and attitudes and behavioral intentions towards drone delivery of online orders during pandemics.

Suggested Citation

  • Yaprak, Ümit & Kılıç, Fatih & Okumuş, Abdullah, 2021. "Is the Covid-19 pandemic strong enough to change the online order delivery methods? Changes in the relationship between attitude and behavior towards order delivery by drone," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    • Handle: RePEc:eee:tefoso:v:169:y:2021:i:c:s0040162521002614
    DOI: 10.1016/j.techfore.2021.120829
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    1. Kurt Neuwirth & Sharon Dunwoody & Robert J. Griffin, 2000. "Protection Motivation and Risk Communication," Risk Analysis, John Wiley & Sons, vol. 20(5), pages 721-734, October.
    2. Yoo, Sunbin & Managi, Shunsuke, 2020. "Global mortality benefits of COVID-19 action," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    3. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Muhammad Tahir Jan & Johan W de Jager & Alileche Mohamed Ameziane & Naheed Sultan, 2019. "Applying Technology Acceptance Model to Investigate the Use of Smartphone Advertising in Malaysia," Journal of Economics and Behavioral Studies, AMH International, vol. 11(1), pages 202-210.
    6. 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.
    7. Schmidthuber, Lisa & Maresch, Daniela & Ginner, Michael, 2020. "Disruptive technologies and abundance in the service sector - toward a refined technology acceptance model," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    8. 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).
    9. Grewal, Dhruv & Gotlieb, Jerry & Marmorstein, Howard, 1994. "The Moderating Effects of Message Framing and," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 145-153, June.
    Full references (including those not matched with items on IDEAS)

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