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Towards the Development of Smart and Sustainable Transportation System for Foodservice Industry: Modelling Factors Influencing Customer’s Intention to Adopt Drone Food Delivery (DFD) Services

Author

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  • Noor Islam Jasim

    (College of Graduate Studies, Universiti Tenaga Nasional, Jalan Ikram-Uniten, Kajang 43000, Malaysia)

  • Hairoladenan Kasim

    (College of Computing and Informatics, Universiti Tenaga Nasional, Jalan Ikram-Uniten, Kajang 43000, Malaysia)

  • Moamin A. Mahmoud

    (Institute of Informatics and Computing in Energy, Universiti Tenaga Nasional, Jalan Ikram-Uniten, Kajang 43000, Malaysia)

Abstract

While the attempts to deploy drones in the foodservice industry focus on the technical aspects, research studies from behavioral perspectives that support service substantially are still in their infancy. When new technology-based services are introduced, it is crucial to examine and understand consumers’ perceptions by identifying a set of actions that influence acceptance and fulfilling their target. Therefore, service providers of drone food delivery (DFD) services need to identify significant factors that influence potential consumers to use drone delivery. Although a few existing models are significant, these models lack a comprehensive basic theory that addresses factors which influence consumers’ intention and behavior. To overcome this limitation and propose a more comprehensive model, relevant research studies from the domain of drone delivery services and other emerging technology such as IoT, Autonomous Vehicles, and Mobile Banking are identified, reviewed, and analyzed, and ten potential factors are subsequently extracted. This study’s data were collected from 209 participants who regularly order food online for delivery and were analyzed using SPSS. Descriptive statistics, reliability, Pearson correlation, regression analysis, r-squared, and standardized beta coefficient analyses are carried out to present the study’s findings. The results show that there is a significant relationship between behavioral intention and the user behavior of DFD. Although the participants in this study are yet to experience drone technology in the foodservice domain, the identified factors explain around 32.9% of the variation in the use behavior of DFD services. In the early stage of adoption, it is highly recommended for stakeholders to conduct marketing campaigns through media channels such as television and different social media platforms to bring awareness of this technology.

Suggested Citation

  • Noor Islam Jasim & Hairoladenan Kasim & Moamin A. Mahmoud, 2022. "Towards the Development of Smart and Sustainable Transportation System for Foodservice Industry: Modelling Factors Influencing Customer’s Intention to Adopt Drone Food Delivery (DFD) Services," Sustainability, MDPI, vol. 14(5), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2852-:d:761651
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    1. Adai Mohammad Al-Momani & Moamin A. Mahmoud & Mohd Sharifuddin Ahmad, 2019. "A Review of Factors Influencing Customer Acceptance of Internet of Things Services," International Journal of Information Systems in the Service Sector (IJISSS), IGI Global Scientific Publishing, vol. 11(1), pages 54-67, January.
    2. Flamm, Kenneth & Chaudhuri, Anindya, 0. "An analysis of the determinants of broadband access," Telecommunications Policy, Elsevier, vol. 31(6-7), pages 312-326, July.
    3. Giones, Ferran & Brem, Alexander, 2017. "From toys to tools: The co-evolution of technological and entrepreneurial developments in the drone industry," Business Horizons, Elsevier, vol. 60(6), pages 875-884.
    4. Lin, Zhibin & Filieri, Raffaele, 2015. "Airline passengers’ continuance intention towards online check-in services: The role of personal innovativeness and subjective knowledge," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 158-168.
    5. Nicholas Argyres & Lyda Bigelow & Jack A. Nickerson, 2015. "Dominant designs, innovation shocks, and the follower's dilemma," Strategic Management Journal, Wiley Blackwell, vol. 36(2), pages 216-234, February.
    6. Ng Kim-Soon & Salama A. Mostafa & Mohammad Nurunnabi & Lim Hui Chin & Nallapaneni Manoj Kumar & Rabei Raad Ali & Umashankar Subramaniam, 2020. "Quality Management Practices of Food Manufacturers: A Comparative Study between Small, Medium and Large Companies in Malaysia," Sustainability, MDPI, vol. 12(18), pages 1-26, September.
    7. Dedehayir, Ozgur & Steinert, Martin, 2016. "The hype cycle model: A review and future directions," Technological Forecasting and Social Change, Elsevier, vol. 108(C), pages 28-41.
    8. Deniz Kucukusta & Rob Law & Alia Besbes & Patrick Legoherel, 2015. "Re-examining perceived usefulness and ease of use in online booking," Post-Print hal-02868005, HAL.
    9. Vandecasteele, Bert & Geuens, Maggie, 2010. "Motivated Consumer Innovativeness: Concept, measurement, and validation," International Journal of Research in Marketing, Elsevier, vol. 27(4), pages 308-318.
    10. Ramon Palau-Saumell & Santiago Forgas-Coll & Javier Sánchez-García & Emilio Robres, 2019. "User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
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