Dergiler / Journal of Transportation and Logistics / 2023 / Volume: 8 Issue: 2

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

Bülent Yıldız(Kastamonu University, Faculty of Economics and Administrative Sciences, Department of Business Administration)0000-0002-5368-2805
Sayfa
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Yayın Tarihi
2024-01-18
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Innovativeness did not affect how participants perceived the risks of ADVs.

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Amaç & Hipotez:E-commerce has become increasingly popular, making the effective management of timely and accurate deliveries critical to maintaining customer satisfaction.
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Temel Bulgular & Veri:The sample consisted of 184 participants from different cities of Türkiye and data were collected using several analyses.
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Sonuç & Katkı:Innovativeness did not affect how participants perceived the risks of ADVs.
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Innovativeness · Autonomous Delivery Vehicles · Structural Equation Modeling

Abstract

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.

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Bu Makaleye Atıf Yap

Yıldız, B. (2024). Autonomous Delivery Vehicles: A Quantitative Study from the Perspective of Innovativeness. Journal of Transportation and Logistics, Volume: 8 Issue: 2. https://doi.org/10.26650/JTL.2023.1217543

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Kaynakça (78)

  1. 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
  2. Aldas-Manzano, J., Lassala-Navarre, C., Ruiz-Mafe, C., & Sanz-Blas, S. (2009). The role of consumer innovativeness and perceived risk in online banking usage. International Journal of Bank Marketing, 27 (1) 53-75. google scholar
  3. 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
  4. 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
  5. Amicone, D., Cannas, A., Marci, A. & Tortora, G. (2021). A smart capsule equipped with artificial intelligence for autonomous delivery of medical material through drones. Applied Sciences, 11, 7976, 1-13. https://doi.org/10.3390/app11177976 google scholar
  6. 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
  7. Bogatzki, K. & Hinzmann, J. (2020). Acceptance of autonomous delivery vehicles for last mile delivery in germany. extension of the technology acceptance model to an autonomous delivery vehicles acceptance model. Master Thesis in Business Administration. Jönköping University google scholar
  8. 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
  9. 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
  10. Bülbül, H. & Özoğlu, B. (2014). Tüketici yenilikçiliği ve algılanan riskin satın alma davranışına etkisi. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 44, 43-58. google scholar
  11. 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
  12. Chan, W.M. & Lee, J.W.C. (2021). 5G connected autonomous vehicle acceptance: the mediating effect of trust in the technology acceptance model. Asian Journal of Business Research, 11 (1), 1-22. google scholar
  13. 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
  14. Chen, K.K. (2014). Assessing the effects of customer innovativeness, environmental value and ecological lifestyles on residential solar power systems install intention. Energy Policy, 67, 951-961. google scholar
  15. 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
  16. 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
  17. 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
  18. 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
  19. Esen, F.S. (2020). Djital bankacılık kullanımına teknoloji kabulü temelli bir yaklaşım. Bilişim Teknolojileri Dergisi, 13 (4), 401-410 google scholar
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. Kim, E.J.; Kim, J.J.; Han, S.H. (2021a). Understanding student acceptance of online learning systems in higher education: application of social psychology theories with consideration of user innovativeness. Sustainability, 13, 896, 1-14. https://doi.org/10.3390/su13020896 google scholar
  35. Kim, J.J., Kim, I & Hwang, J. (2021b). A change of perceived innovativeness for contactless food delivery services using drones after the outbreak of COVID-19. International Journal of Hospitality Management, 93, 1-11. google scholar
  36. Kocsis, M., Zöllner, R. & Mogan, G. (2022). Interactive system for package delivery in pedestrian areas using a self-developed fleet of autonomous vehicles. Electronics, 11, 748, 1-34. https://doi.org/10.3390/electronics11050748 google scholar
  37. Lawless, W. (2022). Risk determination versus risk perception: a new model of reality for human-machine autonomy. Informatics, 9, 30, 1-20. https://doi.org/10.3390/informatics9020030 google scholar
  38. Leon, S., Chen, C. & Ratcliffe, A. (2021): Consumers’ perceptions of last mile drone delivery, International Journal of Logistics Research and Applications, 1-21. DOI:10.1080/13675567.2021.1957803 google scholar
  39. Li, J., Rombaut, E. & Vanhaverbeke, L. (2021). A systematic review of agent-based models for autonomous vehicles in urban mobility and logistics: Possibilities for integrated simulation models. Computers, Environment and Urban Systems. 89, 1-20. google scholar
  40. Li, G., Liang, Y., Wang, H., Chen, J. & Chang, X. (2022). Factors influencing users’ willingness to adopt connected and au-tonomous vehicles: net and configurational effects analysis using PLS-SEM and FsQCA. Journal of Advanced Transportation, 1-23. https://doi.org/10.1155/2022/7489897 google scholar
  41. Lin, Y., Luo, J., Cai, S., Ma, S. & Rong, K. (2016). Exploring the service quality in the e-commerce context: a triadic view. Industrial Management & Data Systems, 116 (3) 388-415. google scholar
  42. Liu, H., Yang, R., Wang, L. & Liu, P. (2019). Evaluating initial public acceptance of highly and fully autonomous vehicles. International Journal of Human-Computer Interaction, 35 (11), 919-931. google scholar
  43. Manfreda, A., Ljubi, K. & Groznik, A. (2021). Autonomous vehicles in the smart city era: An empirical study of adoption factors important for millennials. International Journal of Information Management, 58, 1-12. google scholar
  44. Mathew, A.O.; Jha, A.N.; Lingappa, A.K. & Sinha, P. (2021). Attitude towards drone food delivery services—role of innovativeness, perceived risk, and green image. Journal of Open Innovation: Technolgy Market and Complexity, 7, 144, 1-19. https://doi.org/10.3390/joitmc7020144 google scholar
  45. Masood, K.; Zoppi, M.; Fremont, V.& Molfino, R.M. (2021). From drive-by-wire to autonomous vehicle: urban freight vehicle perspectives. Sustainability, 13, 1169, 1-21. https://doi.org/10.3390/su13031169 google scholar
  46. Mittendorf, C., Franzmann, D. & Ostermann, U. (2017). Why would customers engage in drone deliveries? Twenty-third Americas Conference on Information Systems, Boston, 2017, 1-10. google scholar
  47. Nikou, S. (2019). Factors driving the adoption of smart home technology: an empirical assessment. Telematics and Informatics, 45, 1-12. google scholar
  48. Parasuraman, A. (2000) Technology readiness index (TRI) a multiple-item scale to measure readiness to embrace new technologies. J. Serv. Res., 2, 307-320. google scholar
  49. Patella, S.M.; Grazieschi, G.; Gatta, V.; Marcucci, E. & Carrese, S. (2021). The adoption of green vehicles in last mile logistics: a systematic review. Sustainability, 13, 6, 1-29. http://dx.doi.org/10.3390/su13010006 google scholar
  50. Pisarov, J.L. & Mester, G. (2021). The use of autonomous vehicles in transportation. Tehnika - Masinstvo 70 (2), 171-177. DOI: 10.5937/tehnika2102171P google scholar
  51. Rai, H.B., Touami, S. & Dablanc, L. (2022). Autonomous e-commerce delivery in ordinary and exceptional circumstances. The French case. Research in Transportation Business & Management. 100774, 1-11. https://doi.org/10.1016/j.rtbm.2021.100774. google scholar
  52. Ranieri, L., Digiesi, S., Silvestri, B. & Roccotelli, M. (2018). A review of last mile logistics innovations in an externalities cost reduction vision. Sustainability, 10, 782; 1-18. doi:10.3390/su10030782 google scholar
  53. Rogers, E. (1995), Diffusion of innovations. The Free Press, New York, NY google scholar
  54. Schaarschmidt, M., Bertram, M. & Knobloch, M. (2021). Last mile drone delivery services: Adoption barriers before and during the COVID-19 pandemic. Forty-Second International Conference on Information Systems, Austin 2021 google scholar
  55. Schnieder, M.; Hinde, C. & West, A. (2022). Land efficient mobility: evaluation of autonomous last mile delivery concepts in London. Int. J. Environ. Res. Public Health, 19,10290, 1-21. https://doi.org/10.3390/yerph191610290 google scholar
  56. Sharma, S., Singh, G., Gaur, L. & Afaq, A. (2022). Exploring customer adoption of autonomous shopping systems. Telematics and Informatics, 73, 1-12. google scholar
  57. Shbool, M.A., Al-Bazi, A. & Al-Hadeethi, R. (2022). The effect of customer satisfaction on parcel delivery operations using autonomous vehicles: An agent-based simulation study. Heliyon, 8, 1-14. google scholar
  58. Srinivas, S., Ramachandiran, S. & Rajendran, S. (2022). Autonomous robot-driven deliveries: A review of recent developments and future directions. Transportation Research Part E, 165, 1-26. google scholar
  59. Sunh, H.J. & Jeon, H.M. (2020). Untact: customer’s acceptance intention toward robot barista in coffee shop. Sustainability, 12, 8598, 1-16. doi:10.3390/su12208598 google scholar
  60. Şahin, E. & Gelmez, E., The effect of consumer innovativeness, perceived risk and personality traits on purchase behavior. BMU, 8 (2), 2289-2311. google scholar
  61. Tanakinjal, G.H., Deans, K.R. & Gray, B.J. (2010). Innovation characteristics, perceived risk, permissibility and trustworthiness in the adoption of mobile marketing. Journal of Convergence Information Technology, 5 (2), 112-123. google scholar
  62. Tom, N.M.F. (2020). Crashed! why drone delivery is another tech idea not ready to take off. International Business Research, 13 (7), 251-264. google scholar
  63. Townsend, R.M., Atkinson-Palombo, C., Terbeck, F. & Garrick, N. (2021). Hopes and fears about autonomous vehicles. Case Studies on Transport Policy, 9, 1933-1942. google scholar
  64. Trotta, M., Archetti, C., Feillet, D. & Quilliot, A. (2022). Pickup and delivery problems with autonomous vehicles on rings. European Journal of Operational Research, 300, 221-236. google scholar
  65. Tsai, Y.T. & Tiwasing, P. (2021). Customers’ intention to adopt smart lockers in last-mile delivery service: A multi-theory perspective. Journal of Retailing and Consumer Services, 61, 1-9. google scholar
  66. Ullah, N., Alnumay, W.S., Al-Rahmi, W.M., Alzahrani, A.I. & Al-Samarraie, H. (2020). Modeling cost saving and innovativeness for blockchain technology adoption by energy management. Energies, 13, 4783, 1-22. doi:10.3390/en13184783 google scholar
  67. Valencia-Arias, A., Rodriguez-Correa, P.A., Patino-Vanegas, J.C., Benjumea-Arias, M., De La Cruz-Vargas, J. & Moreno-Lopez, G. (2022). Factors associated with the adoption of drones for product delivery in the context of the covid-19 pandemic in Medellm, Colombia. Drones, 6, 225, 1-19. https://doi.org/10.3390/drones6090225 google scholar
  68. Wang, H., Zhang, L., Kong, Q., Zhu, W., Zheng, J., Zhuang, L. & Xu, X. (2022). Motion planning in complex urban environments: An industrial application on autonomous last-mile delivery vehicles. J Field Robotics, 1-28. DOI: 10.1002/rob.22107 google scholar
  69. Waris, I., Ali, R., Nayyar, A., Baz, M., Liu, R. & Hameed, I. (2022). An empirical evaluation of customers’ adoption of drone food delivery services: an extended technology acceptance model. Sustainability, 14, 2922, 1-18. https://doi.org/10.3390/su14052922 google scholar
  70. Williams, E., Das, V. & Fisher, A. (2020). Assessing the sustainability implications of autonomous vehicles: recommendations for research community practice. Sustainability, 12, 1902, 1-13. doi:10.3390/su12051902 google scholar
  71. Xiao, J. & Goulias, K.G. (2022). Perceived usefulness and intentions to adopt autonomous vehicles. Transportation Research Part A, 161, 170-185. google scholar
  72. Yapraklı, T. Ş., & Gül, B. (2021). Tüketici yenilikçiliği, algılanan risk ve ürün ilgileniminin online satın alma davranışı üzerindeki etkisi. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 9 (5), 1507-1534 google scholar
  73. Yen, Y.S. (2022). Channel integration affects usage intention in food delivery platform services: the mediating effect of perceived value. Asia Pacific Journal of Marketing and Logistics, 1-20. https://doi.org/10.1108/APJML-05-2021-0372 google scholar
  74. Yoo, W., E. Yu, & J. Jung. (2018). Drone delivery: factors affecting the public’s attitude and intention to adopt. Telematics and Informatics 35 (6), 1687-1700. google scholar
  75. Yu, S., Puchinger, J. & Sun, S. (2020). Two-echelon urban deliveries using autonomous vehicles. Transportation Research Part E, 141, 1-29. google scholar
  76. Yuen, K.F., Chua, G., Wang, X., Ma, F. & Li, K.X. (2020). Understanding public acceptance of autonomous vehicles using the theory of planned behaviour. Int. J. Environ. Res. Public Health, 17, 4419, 1-19. doi:10.3390/ijerph17124419 google scholar
  77. Zhang, Z. & Hou, Y. (2017). The effect of perceived risk on information search for innovative products and services: the moderating role of innate consumer innovativeness. Journal of Consumer Marketing, 34 (3) 241-254. google scholar
  78. Zhu, X. (2019). Segmenting the public’s risk beliefs about drone delivery: a belief system approach. Telematics and Informatics, 40, 27-40. google scholar