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Autonomous Delivery Vehicles: A Quantitative Study from the Perspective of Innovativeness

Yıl 2023, Cilt: 8 Sayı: 2, 83 - 96, 18.01.2024

Bülent Yıldız

https://doi.org/10.26650/JTL.2023.1217543

Öz

E-commerce has become increasingly popular, making the effective management of timely and accurate deliveries critical to maintaining customer satisfaction. Autonomous delivery vehicles (ADVs) are recent innovations essential to the distribution sector. However, their popularity depends on how open consumers are to innovations. Therefore, this study addressed whether consumers’ innovativeness affected their perceived usefulness and risks associated with ADVs. The study also investigated whether consumers who were more open to innovations were more willing to use ADVs. The sample consisted of 184 participants from different cities of Türkiye and data were collected using several analyses. The results showed that participants who believed in the usefulness of ADVs were more likely to use them whereas participants who focused more on the risks were less likely. Innovativeness did not affect how participants perceived the risks of ADVs.

Anahtar Kelimeler

Innovativeness Autonomous Delivery Vehicles Structural Equation Modeling

Kaynakça

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  • Boone, T., & Ganeshan, R. (2013). Exploratory analysis of free shipping policies of online retailers. International Journal of Production Economics, 143 (2), 627-632. google scholar
  • Brunner, G., Szebedy, B., Tanner, S. & Wattenhofer, R. (2019). The urban last mile problem: autonomous drone delivery to your balcony. 2019 International Conference on Unmanned Aircraft Systems (ICUAS) Atlanta, GA, USA, June 11-14, 2019. google scholar
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Yıl 2023, Cilt: 8 Sayı: 2, 83 - 96, 18.01.2024

Bülent Yıldız

https://doi.org/10.26650/JTL.2023.1217543

Öz

Kaynakça

  • Acikgoz, F., Filieri, R., & Yan, M. (2022). Psychological predictors of intention to use fitness apps: the role of subjective knowledge and innovativeness. International Journal of Human-Computer Interaction, 1-13. DOI: 10.1080/10447318.2022.2074668 google scholar
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  • Alamsyah, D.P., Setyawati, I., & Rohaeni, H. (2022). New technology adoption of e-learning: model of perceived usefulness. 2022 3rd International Conference on Big Data Analytics and Practices (IBDAP), 79-84. google scholar
  • Al-Rahmi, W.M., Yahaya, N., Aldraiweesh, A.A., Alamri, M.M., Aljarboa, N.A., Alturki, U. & Aljeraiwi, A.A., (2019). Integrating technology acceptance model with innovation diffusion theory: an empirical investigation on students’ intention to use E-learning systems. IEEE Access 7, 26797-26809. https://doi.org/10.1109/access.2019.2899368. google scholar
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  • Boateng, G.O, Neilands, T.B., Frongillo, E.A., Melgar-Quinonez, H.R. & Young, S.L. (2018) Best practices for developing and validating scales for health, social, and behavioral research: a primer. front. Public Health, 6, 149. google scholar
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  • Boone, T., & Ganeshan, R. (2013). Exploratory analysis of free shipping policies of online retailers. International Journal of Production Economics, 143 (2), 627-632. google scholar
  • Brunner, G., Szebedy, B., Tanner, S. & Wattenhofer, R. (2019). The urban last mile problem: autonomous drone delivery to your balcony. 2019 International Conference on Unmanned Aircraft Systems (ICUAS) Atlanta, GA, USA, June 11-14, 2019. google scholar
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  • Cai, L., Yuen, K.F., Xie, D., Fang, M. & Wang, X. (2021). Consumer’s usage of logistics technologies: Integration of habit into the unified theory of acceptance and use of technology. Technology in Society, 67, 1-11. google scholar
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  • Chauhan, V., Yadav, R. & Choudhary, V. (2019). Analyzing the impact of consumer innovativeness and perceived risk in internet banking adoption: A study of Indian consumers. International Journal of Bank Marketing, 37 (1) 323-339. google scholar
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  • Choi, J. & Yoo, D. (2021). The impacts of self-construal and perceived risk on technology readiness. J. Theor. Appl. Electron. Commer. Res., 16, 1584-1597. https://doi.org/10.3390/jtaer16050089 google scholar
  • Chy, M.K.A.; Masum, A.K.M.; Sayeed, K.A.M. & Uddin, M.Z. (2022). Delicar: a smart deep learning based self driving product delivery car in perspective of Bangladesh. Sensors, 22, 126, 1-25. https://doi.org/10.3390/s22010126 google scholar
  • Çelik, Z., & Aydın, İ. (2021). Perakendecilikte drone ile ürün teslimatının tüketicilerin davranışsal niyetlerine etkisi, bmij, 9 (4), 1422-1436.de Bellis E. & Johar G.V. (2020). Autonomous shopping systems: identifying and overcoming barriers to consumer adoption. Journal of Retailing 96 (1) 74-87. google scholar
  • Du, D. (2021). Research on the application of "last-mile" autonomous delivery vehicles in the context of epidemic prevention and control. 2021 International Symposium on Artificial Intelligence and its Application on Media (ISAIAM). 74-77 DOI 10.1109/ISAIAM53259.2021.00022 google scholar
  • Esen, F.S. (2020). Djital bankacılık kullanımına teknoloji kabulü temelli bir yaklaşım. Bilişim Teknolojileri Dergisi, 13 (4), 401-410 google scholar
  • Fagan, M., Kilmon, C. & Pandey, V. (2012). Exploring the adoption of a virtual reality simulation: The role of perceived ease of use, perceived usefulness and personal innovativeness. Campus-Wide Information Systems, 29 (2) 117-127. google scholar
  • Figliozzi M. & Jennings D. (2020). Autonomous delivery robots and their potential impacts on urban freight energy consumption and emissions. Transportation Research Procedia 46, 21-28 google scholar
  • Figliozzi M.A. (2020). Carbon emissions reductions in last mile and grocery deliveries utilizing air and ground autonomous vehicles. Trans-portation Research Part D, 85, 1-12. google scholar
  • Ganjipour, H. & Edrisi, A. (2022). Applying the integrated model to understanding online buyers’ intention to adopt delivery drones in Iran. Transportation Letters, 1-14. DOI:10.1080/19427867.2022.2035130 google scholar
  • He, Y. & Csiszar, C. (2021). Model for crowdsourced parcel delivery embedded into mobility as a service based on autonomous electric vehicles. Energies, 14, 3042, 1-24. https://doi.org/10.3390/en14113042 google scholar
  • Herrenkind, B., Brendel, A. B., Nastjuk, I., Greve, M., & Kolbe, L. M. (2019). Investigating enduser acceptance of autonomous electric buses to accelerate diffusion. Transportation Research Part D: Transport and Environment, 74, 255-276. google scholar
  • Huang Y. & Feng X. (2021). Time and cost efficiency of autonomous vehicles in the last-mile delivery: a UK case. International Business Research, 14 (3), 26-40. google scholar
  • Hwang, J. & Choe, J.Y. (2019). Exploring perceived risk in building successful drone food delivery services. Int. J. Contemp. Hosp. Manag. 31, 3249-3269. google scholar
  • Jasim, N.I., Kasim, H. & Mahmoud, M.A. (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, 14, 2852, 1-21. https://doi.org/10.3390/su14052852 google scholar
  • Kapser, S. & Abdelrahman, M., (2020). Acceptance of autonomous delivery vehicles for last-mile delivery in Germany - Extending UTAUT2 with risk perceptions. Transp. Res. C 111, 210-225. http://dx.doi.org/10.1016/J.TRC.2019.12.016. google scholar
  • Kapser, S., Abdelrahman, M. & Bernecker, T. (2021). Autonomous delivery vehicles to fight the spread of Covid-19 -How do men and women differ in their acceptance? Transportation Research Part A. 148, 183-198. google scholar
  • Kassai, E.T., Azmat, M. & Kummer, S. (2020). Scope of using autonomous trucks and lorries for parcel deliveries in urban settings. Logistics, 4, 17, 1-24; doi:10.3390/logistics4030017 google scholar
  • Kautish, P. & Sharma, R. (2019). Value orientation, green attitude and green behavioral intentions: an empirical investigation among young consumers. Young Consumers, 20 (4) 338-358. google scholar
  • Khalil, A., Shankar, A., Bıdhi, R., Behl, A. & Ferraris, A. (2022). Why do people resist drone food delivery services? an innovation resistance theory perspective. IEEE Transactions on Engineering Management, 1-11. doi: 10.1109/TEM.2022.3202485. google scholar
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Toplam 78 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yöneylem
Bölüm Araştırma Makalesi
Yazarlar

Bülent Yıldız 0000-0002-5368-2805

Yayımlanma Tarihi 18 Ocak 2024
Gönderilme Tarihi 11 Aralık 2022
Kabul Tarihi 14 Temmuz 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 8 Sayı: 2

Kaynak Göster

APA Yıldız, B. (2024). Autonomous Delivery Vehicles: A Quantitative Study from the Perspective of Innovativeness. Journal of Transportation and Logistics, 8(2), 83-96. https://doi.org/10.26650/JTL.2023.1217543
AMA Yıldız B. Autonomous Delivery Vehicles: A Quantitative Study from the Perspective of Innovativeness. JTL. Ocak 2024;8(2):83-96. doi:10.26650/JTL.2023.1217543
Chicago Yıldız, Bülent. “Autonomous Delivery Vehicles: A Quantitative Study from the Perspective of Innovativeness”. Journal of Transportation and Logistics 8, sy. 2 (Ocak 2024): 83-96. https://doi.org/10.26650/JTL.2023.1217543.
EndNote Yıldız B (01 Ocak 2024) Autonomous Delivery Vehicles: A Quantitative Study from the Perspective of Innovativeness. Journal of Transportation and Logistics 8 2 83–96.
IEEE B. Yıldız, “Autonomous Delivery Vehicles: A Quantitative Study from the Perspective of Innovativeness”, JTL, c. 8, sy. 2, ss. 83–96, 2024, doi: 10.26650/JTL.2023.1217543.
ISNAD Yıldız, Bülent. “Autonomous Delivery Vehicles: A Quantitative Study from the Perspective of Innovativeness”. Journal of Transportation and Logistics 8/2 (Ocak 2024), 83-96. https://doi.org/10.26650/JTL.2023.1217543.
JAMA Yıldız B. Autonomous Delivery Vehicles: A Quantitative Study from the Perspective of Innovativeness. JTL. 2024;8:83–96.
MLA Yıldız, Bülent. “Autonomous Delivery Vehicles: A Quantitative Study from the Perspective of Innovativeness”. Journal of Transportation and Logistics, c. 8, sy. 2, 2024, ss. 83-96, doi:10.26650/JTL.2023.1217543.
Vancouver Yıldız B. Autonomous Delivery Vehicles: A Quantitative Study from the Perspective of Innovativeness. JTL. 2024;8(2):83-96.


The JTL is being published twice (in April and October of) a year, as an official international peer-reviewed journal of the School of Transportation and Logistics at Istanbul University.