Tüketicilerin Drone Aracılığıyla Ürün Dağıtımına Yönelik Tutumlarının İncelenmesi

Yıl 2023, Cilt: 20 Sayı: 1, 125 - 135, 30.06.2023

Kalender Özcan Atılgan , Mustafa Bozkurt

Öz

Teknolojinin gelişmesiyle birlikte pazarlama alanında rekabet avantajı sağlayabilmek için işletmeler, yenilikçi gelişmeleri yakından takip etmektedirler. Bununla birlikte, teknolojik gelişmeleri lojistik alanda faaliyet gösteren işletmeler de takip etmekte ve yeni bir teslimat modeli olarak drone teknolojisinin kullanımı ile ilgili araştırmalara ihtiyaç duyulmaktadır. Bu araştırmanın amacı, drone aracılığıyla ürün teslimatına yönelik çevre dostu olmanın göreceli avantajı, performans riski, teslimat riski, gizlilik riski, yenilikçilik, dağıtım hızının göreceli avantajı ve hedonik deneyim arayışı değişkenlerinin tüketici tutumları üzerindeki etkisinin incelenmesidir. Yüz yüze uygulanan anketler yoluyla, araştırmaya katılan 294 bireyden elde edilen verilere istatistiksel analizler yapılmıştır. Drone ile ürün dağıtımına yönelik tutum üzerinde; çevre dostu olmanın göreceli avantajının, dağıtım hızının göreceli avantajının ve hedonik deneyim arayışının pozitif yönde anlamlı bir etkisinin olduğu ve teslimat riski açısından bakıldığında ise negatif yönde anlamlı bir etkisi olduğu sonuçlarına ulaşılmıştır.

Anahtar Kelimeler

Ürün dağıtımı, Tüketici tutumu, Drone teslimatı

Kaynakça

• Agarwal, R. ve Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2): 204-215.
• Ali, S., Khalid, N., Javed, H. M. U. ve Islam, D. M. Z. (2021). Consumer adoption of online food delivery ordering (OFDO) services in Pakistan: The Impact of the COVID-19 Pandemic Situation. Journal of Open Innovation: Technology, Market, and Complexity, 7(1): 10.
• Bartels, J.ve Reinders, M. J. (2011). Consumer innovativeness and its correlates: a propositional inventory for future research. Journal of Business Research, 64(6): 601–609.
• Çelik, Z. & Aydın, İ. (2021). Perakendecilikte drone ile ürün teslimatının tüketicilerin davranışsal niyetlerine etkisi. Business & Management Studies: An International Journal, 9(4): 1422-1436.
• Dertwinkel‐Kalt, M., ve Köster, M. (2022). Attention to online sales: The role of brand image concerns. Journal of Economics & Management Strategy, 31(1): 64-89.
• Eagly, A. H., ve Chaiken, S. (2007). The advantages of an inclusive definition of attitude. Social Cognition, 25(5): 582-602.
• Frachtenberg, E. (2019). Practical drone delivery. Computer, 52(12): 53-57.
• Goodchild, A. ve Toy, J. (2017). Delivery by drone: An evaluation of unmanned aerial vehicle technology in reducing CO2 emissions in the delivery service industry. Transportation Research Part D: Transport and Environment, 11(3): 58-67.
• Gursoy, D. & Chi, C. G. (2020). Effects of COVID-19 pandemic on hospitality industry: review of the current situations and a research agenda. Journal of Hospitality Marketing and Management, 29(5): 527-529.
• Handayani, S., ve Arda, M. (2019). Effect of discount and hedonic shopping motives against buying impulse. in The 1 International Conference on Innovation of Small Medium-sized Enterprise (ICIS), 1(1): 93-101.
• Hartmann, P., ve Apaolaza-Ibáñez, V. (2012). Consumer attitude and purchase intention toward green energy brands: The roles of psychological benefits and environmental concern. Journal of Business Research, 65(9): 1254-1263.
• Hines, J. M., Hungerford, H. R. ve Tomera, A. N. (1987). Analysis and synthesis of research on responsible environmental behavior: A meta-analysis. The Journal of environmental education, 18(2): 1-8.
• Hwang, J., Kim, H. ve Kim, W. (2019). Investigating motivated consumer innovativeness in the context of drone food delivery services. Journal of Hospitality and Tourism Management, 38: 102-110.
• Hwang, J., Choe, J. Y., Choi, Y. G., & Kim, J. J. (2021a). A comparative study on the motivated consumer innovativeness of drone food delivery services before and after the outbreak of COVID-19. Journal of Travel & Tourism Marketing, 38(4): 368-382.
• Hwang, J., Kim, J. J. ve Lee, K. W. (2021b). Investigating consumer innovativeness in the context of drone food delivery services: Its impact on attitude and behavioral intentions. Technological Forecasting and Social Change, 163: 120433.
• Jin, B. ve Gu Suh, Y. (2005). Integrating effect of consumer perception factors in predicting private brand purchase in a Korean discount store context. Journal of Consumer Marketing, 22(2): 62-71.
• John, J. ve Thakur, R. (2020). Long term effects of service adaptations made under pandemic conditions: the new “post COVID-19” normal. European Journal of Marketing, 55(6): 1679-1700.
• Kahveci, M. ve Nazlı, C. A. N. (2017). İnsansız hava araçları: Tarihçesi, tanımı, dünyada ve Türkiye'deki yasal durumu. Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi, 5(4): 511-535.
• Kim, J. J., Choe, J. Y., ve Hwang, J. (2021). Application of consumer innovativeness to the context of robotic restaurants. International Journal of Contemporary Hospitality Management, 33(1): 224-242.
• Kumar, V. (2014). Understanding cultural differences in inovation: A conceptual framework and future research directions. Journal of International Marketing, 22(3): 1-29.
• Lee, S. M. ve Trimi, S. (2021). Convergence innovation in a digital age and in the COVİD-19 pandemic crisis. Journal of Business Research, 123: 14-22.
• Lidynia, C., Schomakers, E. M. ve Ziefle, M. (2019). What are you waiting for?–perceived barriers to the adoption of fitness-applications and wearables. In Advances in Human Factors in Wearable Technologies and Game Design: Proceedings of the AHFE 2018 International Conferences on Human Factors and Wearable Technologies, and Human Factors in Game Design and Virtual Environments, Held on July 21–25, 2018, in Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA 9 (41-52). Springer International Publishing.
• Lyu, J., Sadachar, A. ve Hahn, K. (2017). Does consumer innovativeness matter? An examination of multi-dimensional consumer innovativeness motivation on intention to adopt 3D printed fashion products. In International Textile and Apparel Association Annual Conference Proceedings, 74(1). St. Petersburg, Florida: Iowa State University Digital Press.
• Mathew, A. O., Jha, A. N., Lingappa, A. K. ve Sinha, P. (2021). Attitude towards drone food delivery services—role of innovativeness, perceived risk, and green image. Journal of Open Innovation. Technology, Market, and Complexity, 7(2): 144.
• Mittendorf, C., Franzmann, D. ve Ostermann, U. (2017). Why would customers engage in drone deliveries?. Twenty-third Americas Conference on Information Systems, 1: 1-10.
• Nakiboğlu, G. (2020). Drone taşımacılığı ve son-adım teslimatta kullanımı. Çukurova Üniversitesi İİBF dergisi, 24(2): 285-298.
• Parasuraman, A. ve Colby, C. L. (2014). An updated and streamlined technology readiness index: TRI 2.0. Journal of Service Research, 18(1): 59-74.
• Rabta, B., Wankmüller, C. ve Reiner, G. (2018). A drone fleet model for last-mile distribution in disaster relief operations. International Journal of Disaster Risk Reduction, 28: 107-112.
• Ramadan, Z. B., Farah, M. F. ve Mrad, M. (2017). An adapted TPB approach to consumers’ acceptance of service-delivery drones. Technology Analysis & Strategic Management, 29(7): 817-828.
• Sabino, H., Almeida, R. V., de Moraes, L. B., da Silva, W. P., Guerra, R., Malcher, C., ... ve Passos, F. G. (2022). A systematic literature review on the main factors for public acceptance of drones. Technology in Society, 71: 102097.
• Saeed, R., Zameer, H., Awan, I. ve Ullah, I. (2014). A study of consumer innovativeness and motivations behind adoption of innovation. International Journal of Academic Research in Business and Social Sciences, 4(7): 340-349.
• Sheth, J. (2020). Impact of COVID-19 on consumer behavior: Will the old habits return or die?. Journal of Business Research, 117: 280-283.
• Stoela, Leslie, Vanessa Wickliffeb ve Kyu Hye Lee (2004). Attribute beliefs and spending as antecedents to shopping value. Journal of Business Research, 57(10): 1067-1073.
• Tabachnick, B. G. & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Boston, MA: Pearson.
• Turgut, M. & Şeker, B. (2022). İnsansız hava araçlarının (İHA) taşımacılıkta kullanımına yönelik keşfedici bir araştırma: drone taşımacılığı ve uygulamaları. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, 5(2): 169-187.
• Uslu, F. ve Tekin, Z. (2021). Pandemi sürecinde drone kullanımı: Geleceğin lojistik teknolojileri. Uluslararası İktisadi ve İdari Bilimler Kongresi: Krizler, Belirsizlikler ve Arayışlar (Online): 165-169.
• Valencia-Arias, A., Rodríguez-Correa, P. A., Patiño-Vanegas, J. C., Benjumea-Arias, M., De La Cruz-Vargas, J., & Moreno-López, G. (2022). Factors Associated with the Adoption of Drones for Product Delivery in the Context of the COVID-19 Pandemic in Medellin, Colombia. Drones, 6(9): 225.
• Wan, W. P. ve Yiu, D. W. (2009). From crisis to opportunity: Environmental jolt, corporate acquisitions, and firm performance. Strategic Management Journal, 30(7): 791-801.
• Wang, F., Wang, F., Ma, X. ve Liu, J. (2019). Demystifying the crowd intelligence in last mile parcel delivery for smart cities. IEEE Network, 33(2): 23-29.
• Wu, Shwu-İng (2003). The relationship between consumer charecteristic and attitude toward online shopping. Marketing Intelligence & Planning, 21(1): 37-44.
• Yaprak, Ü., Kılıç, F. ve Okumuş, A. (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.
• Yeşilay, R. B. ve Macit, A. (2020). Dünya’da ve Türkiye’de drone ekonomisi: Geleceğe yönelik beklentiler. Beykoz Akademi Dergisi, 8(1): 239-251.
• Yetis, H. & Karakose M. (2018). A new smart cargo cabinet application for unmanned delivery in smart cities. International Conference On Artificial Intelligence And Data Processing (IDAP), Malatya: 1-5.
• Yiğit E., Yazar I. ve Karakoç H. T. (2018). İnsansız hava araçları (İHA)’nın kapsamlı sınıflandırması ve gelecek perspektifi. Sürdürülebilir Havacılık Araştırmaları Dergisi (SÜHAD), 3(1): 10-19.
• Yoo,W., Yu, E. ve Jung, J. (2018). Drone delivery: Factors affecting the public’s attitude and intention to adopt. Telematics and Informatics, 35(6): 1687-1700.
• Yurek, E.E. ve Ozmutlu, C. (2018). A decomposition-based iterative optimization algorithm for traveling salesman problem with drone. Transportation Research Part C: Emerging Technologies, 91: 249-262.