The impact of drone delivery innovation on customer intention: An empirical study in Vietnam

Ali, S. S., Kaur, R., Gupta, H., Ahmad, Z., & Elnaggar, G. (2021). Determinants of an organization’s readiness for drone technologies adoption. IEEE Transactions on Engineering Management, 1-15. https://doi.org/10.1109/TEM.2021.3083138

Albayati, H., Kim, S. K., & Rho, J. J. (2020). Accepting financial transactions using blockchain technology and cryptocurrency: A customer perspective approach. Technology in Society, 62, 101320. https://doi.org/10.1016/j.techsoc.2020.101320

Bina, P., & Francis, J. (2020). Drone regulations in Vietnam. Drone traveller. https://drone-traveller.com/drone-lawsvietnam/

Campi, T., Cruciani, S., Rodríguez, G., & Feliziani, M. (2016). Coil design of a wireless power transfer charging system for a drone. In 2016 IEEE Conference on Electromagnetic Field Computation (CEFC) (pp. 1-1). IEEE.

Chang, C. W., Chang, S. H., Chiu, H. J., & Liu, Y. C. (2022). Understanding consumers’ intention to switch to electric motorcycles: A costs economics perspective. Australasian Journal of Environmental Management, 29(1), 7-23. https://doi.org/10.1080/14486563.2021.1987345

Nguyen, T. K. C., Nguyen, T. T., & Tran, H. D. (2023). The drone delivery services: An innovative application in an emerging economy. The Asian Journal of Shipping and Logistics. https://doi.org/10.1016/j.ajsl.2023.01.002

Nguyen, T. K. C., & Vu, H. N. (2023). Investigating the customer trust in artificial intelligence: The role of anthropomorphism, empathy response, and interaction. CAAI Transactions on Intelligence Technology, 8(1), 260-273. https://doi.org/10.1049/cit2.12133

Chaurasia, R., & Mohindru, V. (2021). Unmanned aerial vehicle (UAV): A comprehensive survey. Unmanned Aerial Vehicles for Internet of Things (IoT) Concepts, Techniques, and Applications, 1-27. https://doi.org/10.1002/9781119769170.ch1

Choudhury, V., & Karahanna, E. (2008). The relative advantage of electronic channels: A multidimensional view. MIS Quarterly, 32(1), 179-200. https://doi.org/10.2307/25148833

Chua, H. N., Kankanhalli, A., & Huang, K. W. (2021). The effects of different personal data categories on information privacy concern and disclosure. Computers & Security, 110, 102453. https://doi.org/10.1016/j.cose.2021.102453

Comrey, A. L., & Lee, H. B. (1992 A first course in factor analysis (2nd ed.). Lawrence Erlbaum Associates.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of 25 information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008

Dhir, A., Kaur, P., & Rajala, R. (2021). Why do retail consumers buy green apparel? A knowledge-attitude-behaviour-context perspective. Journal of Retailing and Consumer Services, 59, 102398. https://doi.org/10.1016/j.jretconser.2020.102398

Duarte, P., Silva, S. C., & Ferreira, M. B. (2018). How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM. Journal of Retailing and Consumer Services, 44, 161-169. https://doi.org/10.1016/j.jretconser.2018.06.007

Euchi, J. (2021). Do drones have a realistic place in a pandemic fight for delivering medical supplies in healthcare systems problems? Chinese Journal of Aeronautics, 34(2), 182-190. https://doi.org/10.1016/j.cja.2020.06.006

Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research 18(3), 382-388. https://doi.org/10.1177/002224378101800313

Ganguly, S., & Barua, D. (2021). Inter-morph pollen flow and reproductive success in a self‐compatible species with stigma height dimorphism: The influence of herkogamy and reciprocity. Plant Biology, 23(6), 939-946. https://doi.org/10.1111/plb.13308

Hair, J. F., Ortinau, D. J., & Harrison, D. E. (2010) Essentials of marketing research (2nd ed.). McGraw-Hill/Irwin.

Hamdi, A., Salim, F., & Kim, D. Y. (2020). Drotrack: High-speed drone-based object tracking under uncertainty. 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-8). IEEE. https://doi.org/10.1109/FUZZ48607.2020.9177571

Han, B., Kim, M., & Lee, J. (2018). Exploring consumer attitudes and purchasing intentions of cross-border online shopping in Korea. Journal of Korea Trade 22(2), 86-104. https://doi.org/10.1108/JKT-10-2017-0093

Hao, P., & Dung, L. (2021). Drone saves delivery during COVID. https://thesaigontimes.vn/drone-cuu-nguy-giao-hang-thoi-covid/

Hwang, J., & Kim, J. J. (2021). Expected benefits with using drone food delivery services: Its impacts on attitude and behavioral intentions. Journal of Hospitality and Tourism Technology 12(3), 593-606. https://doi.org/10.1108/JHTT-05-2020-0123

Hwang, J., Lee, J. S., Kim, J. J., & Sial, M. S. (2021). Application of internal environmental locus of control to the context of eco-friendly drone food delivery services. Journal of Sustainable Tourism, 29(7), 1098-1116. https://doi.org/10.1080/09669582.2020.1775237

Jiang, H., & Ren, X. (2020). Comparative analysis of drones and riders in on-demand meal delivery based on prospect theory. Discrete Dynamics in Nature and Society, 2020(1), 9237689. https://doi.org/10.1155/2020/9237689

Kang, J. Y. M., Mun, J. M., & Johnson, K. K. P. (2015). In-store mobile usage: Downloading and usage intention toward mobile location-based retail apps. Computers in Human Behavior, 46, 210-217. https://doi.org/10.1016/j.chb.2015.01.012

Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141. https://doi.org/10.1016/j.elerap.2008.11.006

Lee, S. M., & Lee, D. (2020). “Untact”: A new customer service strategy in the digital age. Service Business, 14(1), 1-22. https://doi.org/10.1007/s11628-019-00408-2

Li, C. Y., & Fang, Y. H. (2022). The more we get together, the more we can save? A costs perspective. International Journal of Information Management, 62, 102434. https://doi.org/10.1016/j.ijinfomgt.2021.102434

Lv, L., Li, J., & Zhang, X. (2021). Multi-party transaction framework for drone services based on alliance blockchain in smart cities. Journal of Information Security and Applications, 58, 102792. https://doi.org/10.1016/j.jisa.2021.102792

Masri, N. W., Kassim, N. M., & Isa, S. M. (2020). The effects of product monetary value, product evaluation cost, and customer enjoyment on customer intention to purchase and reuse vendors: Institutional trust-based mechanisms. Sustainability, 13(1), 172. https://doi.org/10.3390/su13010172

Miranda, V. R. F., Rezende, A. M. C., Rocha, T. L., Azpúrua, H., Pimenta, L. C. A., & Freitas, G. M. (2022). Autonomous navigation system for a delivery drone. Journal of Control, Automation and Electrical Systems, 33, 141-155. https://doi.org/10.1007/s40313-021-00828-4

Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a world-wide-web context. Information & Management, 38(4), 217-230. https://doi.org/10.1016/S0378-7206(00)00061-6

Najmi, A. (2017). Understanding the impact of service convenience on customer satisfaction in home delivery: Evidence from Pakistan. International Journal of Electronic Customer Relationship Management, 7-11. https://doi.org/10.1504/IJECRM.2017.086752

Nayal, K., Raut, R. D., Narkhede, B. E., Priyadarshinee, P., Panchal, G. B., & Gedam, V. V. (2021). Antecedents for blockchain technology-enabled sustainable agriculture supply chain. Annals of Operations Research, 327, 293–337. https://doi.org/10.1007/s10479-021-04423-3

Oliva, T. A., Oliver, R. L., & MacMillan, I. C. (1992). A catastrophe model for developing service satisfaction strategies. Journal of Marketing, 56(3), 83-95. https://doi.org/10.2307/1252298

Oliver, R. L., Rust, R. T., & Varki, S. (1997). Customer delight: Foundations, findings, and managerial insight. Journal of Retailing, 73(3), 311-336. https://doi.org/10.1016/S0022-4359(97)90021-X

Osakwe, C. N., Lim, J. W., & Mattila, P. (2022). Critical factors characterizing consumers’ intentions to use drones for last-mile delivery: Does delivery risk matter? Journal of Retailing and Consumer Services, 65, 102865. https://doi.org/10.1016/j.jretconser.2021.102865

Rogers, E. M. (1983). Diffusion of innovations (3th ed.). A Division of Macmillan Publishing.

Scott, J. E., & Scott, C. H. (2019). Models for drone delivery of medications and other healthcare items. Unmanned Aerial Vehicles: Breakthroughs in Research and Practice, 376-392. https://doi.org/10.4018/978-1-5225-8365-3.ch016

Sharma, S., Singh, G., & Sharma, R. (2021). For it is in giving that we receive: Investigating gamers’ gifting behaviour in online games. International Journal of Information Management, 60, 102363. https://doi.org/10.1016/j.ijinfomgt.2021.102363

Shavarani, S. M., Nejad, M. G., Rismanchian, & F., Izbirak, G. (2018). Application of hierarchical facility location problem for optimization of a drone delivery system: A Case study of Amazon prime air in the city of San Francisco. The International Journal of Advanced Manufacturing Technology, 95, 3141-3153. https://doi.org/10.1007/s00170-017-1363-1

Shim, D., Kim, J. G., & Altman, J. (2016). Identifying key drivers and bottlenecks in the adoption of e-book readers in Korea. Telematics and Informatics, 33(3), 860-871. https://doi.org/10.1016/j.tele.2015.12.009

Sreen, N., Ponnam, A., & Kaur, H. (2021). Behavioral reasoning perspectives to brand love toward natural products: Moderating role of environmental concern and household size. Journal of Retailing and Consumer Services, 61, 102549. https://doi.org/10.1016/j.jretconser.2021.102549

Sun, Z., Yen, G. G., Wu, J., Ren, H., An, H., & Yang, J. (2021). Mission planning for energy-efficient passive UAV radar imaging system based on substage division collaborative search. IEEE Transactions on Cybernetics, 53(1), 275-288 https://doi.org/10.1109/tcyb.2021.3090662

Tran, T. H., & Nguyen, D. D. (2022). Management and regulation of drone operation in urban environment: A case study. Social Sciences, 11(10), 474. https://doi.org/10.3390/socsci11100474

Vietnam E-commerce Association (VECOM). (2022). Vietnam e-Commerce Index Report 2022. https://vecom.vn/bao-cao-chi-so-thuong-mai-dien-tu-viet-nam-2022

Wang, M., Cho, S., & Denton, T. (2017). The impact of personalization and compatibility with past experience on e-banking usage. International Journal of Bank Marketing, 35(1), 45-55. https://doi.org/10.1108/IJBM-04-2015-0046

Wiastuti, R. D., Prawira, O., Lusyana, & Lestari, N. (2022). The relationship between convenience motivation, attitude, and behavioral intention of food delivery applications’ users. GeoJournal of Tourism and Geosites, 41(2), 548-554. https://doi.org/10.30892/gtg.41228-862

Wu, K. W., Huang, S. Y., & Yen, D. C. (2012). The effect of online privacy policy on consumer privacy concern and trust. Computers in Human Behavior, 28(3), 889-897. https://doi.org/10.1016/j.chb.2011.12.008

Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information & Management, 42(5), 719- 729. https://doi.org/10.1016/j.im.2004.07.001

Yaprak, Ü., Ipek, I., & Demirbag, M. (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, 169, 120829. https://doi.org/10.1016/j.techfore.2021.120829

Yoo, W., Yu, E., & Jung, J. (2018). Drone delivery: Factors affecting the public’s attitude and intention to adopt. Telematics and Informatics, 35(6), 1687-1700. https://doi.org/10.1016/j.tele.2018.04.014

Zhang, T., Agarwal, R., & Lucas, H. C. (2011). The value of IT-enabled retailer learning: Personalized product recommendations and customer store loyalty in electronic markets. MIS Q. 2011, 35(4), 859-881. https://doi.org/10.2307/41409964