Drone Teslimatı İle İlgili Yapılan Ampirik Çalışmaların Bibliyometrik Analizi

Yıl 2022, , 118 - 133, 31.12.2022

Ayhan Cesur , Kaan Yiğenoğlu , İbrahim Aydın , Zübeyir Çelik

https://doi.org/10.53568/yyusbed.1172019

Cited By: 2

Öz

Drone ile ürün teslimatı giderek artan şekilde akademik çevrelerin ilgisini çeken bir konu olmuştur. Bu çalışmanın amacı belli kritere bağlı olarak seçilen, drone ile ürün teslimatı konusunu içeren 30 çalışmanın bibliyometrik analizinin yapılarak, çalışmaları yapan yazarlar, çalışmaların yapıldığı ülkeler, çalışmaların yapıldığı yıllar, çalışmaların metodolojisi, çalışmaların teorik alt yapıları ve çalışmalarda kullanılan değişkenler hakkında bilgiler sunmaktır. Bu amaç doğrultusunda VOSviewer yazılımı kullanılarak seçilen 30 çalışmanın bibliyometrik analiz gerçekleştirilmiştir. Elde edilen sonuçlara göre drone ile ürün teslimatı konusunda en fazla çalışmayı yapan Jinsoo Hwang’dır. En fazla çalışma Güney Kore’de gerçekleştirilmiştir. Çalışmaların yapıldığı yıllara bakıldığında drone ile teslimat konusunun her geçen yıl daha fazla çalışıldığı görülmüştür. Buna göre drone ile teslimat konusuna her geçen gün ilgi artmaktadır. Çalışmarın tümünde anket yöntemi kullanılmıştır. Çalışmalarda en fazla teknoloji kabul modeli kullanılmıştır. En fazla kullanılan değişkenler ise sırasıyla niyet, tutum, risk ve yenilikçiliktir. Elde edilen bu sonuçların araştırmacılar ön görüler sunması beklenmektedir.

Anahtar Kelimeler

Drone ile ürün teslimatı, bibliyometrik analiz, literatür taraması

A Biblyometric Analysis of Empirical Studies on Drone Delivery

Öz

Product delivery by drone has become a topic of increasing interest in the academic community. The aim of this study is to provide information about the authors who conducted the studies, the countries where the studies were conducted, the years of the studies, the methodology of the studies, the theoretical background of the studies, and the variables used in the studies by making a bibliometric analysis of 30 studies, which were selected based on certain criteria, including the subject of product delivery by drone. For this purpose, a bibliometric analysis of 30 selected studies was carried out using VOSviewer software. According to the results obtained, Jinsoo Hwang is the one who has done the most work on product delivery by drone. Most studies were conducted in South Korea. Looking at the years in which the studies were carried out, it was seen that the subject of delivery by drone was studied more and more each year. Accordingly, interest in drone delivery is increasing day by day. The questionnaire method was used in all of the studies. The most technology acceptance model was used in the studies. The most used variables are intention, attitude, risk, and innovativeness, respectively. It is expected that these results will provide researchers with foresight.

Anahtar Kelimeler

Product delivery by drone, bibliometric analysis, literature review

Kaynakça

• Aurambout, J. P., Gkoumas, K., & Ciuffo, B. (2019). Last mile delivery by drones: An estimation of viable market potential and access to citizens across European cities. European Transport Research Review, 11(1), 11-30. DOI: 10.1186/s12544-019-0368-2
• Aydın, İ. (2022). Hedonik motivasyonun drone ile teslimata yönelik tutum üzerindeki etkisi: Ağızdan ağıza iletişimin aracılık rolü. İşletme Akademisi Dergisi, 3(1), 34-45. DOI:10.26677/TR1010.2022.962
• Baron, E. 2018. Amazon looks to floating warehouses in the sky for drone deliveries. The Mercury News, https://www.mercurynews.com/2018/07/24/amazon-looks-to-floating-warehouses-in-the-sky-for-drone-deliveries/
• Benarbia, T., & Kyamakya, K. (2022). A literature review of drone-based package delivery logistics systems and their implementation feasibility. Sustainability, 14(1), 360. DOI:10.3390/su14010360
• Boakye, E. A., Zhao, H., & Ahia, B. N. K. (2022). Emerging research on blockchain technology in finance; a conveyed evidence of bibliometric-based evaluations. The Journal of High Technology Management Research, 33(2), 100437. DOI: 10.1016/j.hitech.2022.100437
• Chen, C., Leon, S., & Ractham, P. (2022). Will customers adopt last-mile drone delivery services? An analysis of drone delivery in the emerging market economy. Cogent Business & Management, 9(1), 2074340. DOI: 10.1080/23311975.2022.2074340
• Choe, J. Y. J., Kim, J. J., & Hwang, J. (2021a). Perceived risks from drone food delivery services before and after COVID-19. International Journal of Contemporary Hospitality Management, 33(4), 1276-1296. DOI: 10.1108/IJCHM-08-2020-0839
• Choe, J. Y., Kim, J. J., & Hwang, J. (2021b). Innovative marketing strategies for the successful construction of drone food delivery services: Merging TAM with TPB. Journal of Travel & Tourism Marketing, 38(1), 16-30. DOI: 10.1080/10548408.2020.1862023
• Clothier, R. A., Greer, D. A., Greer, D. G., & Mehta, A. M. (2015). Risk perception and the public acceptance of drones. Risk Analysis, 35(6), 1167-1183. DOI:10.1111/risa.12330
• Çelik, Z., & Aydın, İ. (2021). Perakendecilikte drone ile ürün teslimatının tüketicilerin davranışsal niyetlerine etkisi. Business & Management Studies: An International Journal, 9(4), 1422-1436. DOI: 10.15295/bmij.v9i4.1919
• de Freitas, J. C., & Penna, P. H. V. (2020). A variable neighborhood search for flying sidekick traveling salesman problem. International Transactions in Operational Research, 27(1), 267-290. DOI: 10.1111/itor.12671
• Dorling, K., Heinrichs, J., Messier, G. G., & Magierowski, S. (2017). Vehicle routing problems for drone delivery. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(1), 70-85. DOI: 10.1109/TSMC.2016.2582745
• Dukkanci, O., Kara, B. Y., & Bektaş, T. (2021). Minimizing energy and cost in range-limited drone deliveries with speed optimization. Transportation Research Part C: Emerging Technologies, 125, 102985. DOI: 10.1016/j.trc.2021.102985
• Fasogbon, B. M., & Adebo, O. A. (2022). A Bibliometric Analysis of 3D Food Printing Research: A Global and African Perspective. Future Foods, 100175. DOI: 10.1016/j.fufo.2022.100175
• Frachtbox (2020). A revolution in logistics: Drone delivery. https://www.frachtbox.com/blog/a-revolution-in-logistics-drone-delivery
• Frazier, J. A. (2021). An Analysis of the factors affecting attitudes toward drone delivery and the moderating effect of COVID-19. PhD Dissertations and Master's Theses. 612. https://commons.erau.edu/edt/612
• Ganjipour, H., & Edrisi, A. (2022). Applying the integrated model to understanding online buyers’ intention to adopt delivery drones in Iran. Transportation Letters, 1-13. DOI: 10.1080/19427867.2022.2035130
• Gao, Q., Fang, C., & Cui, X. (2021). Carrying capacity for SDGs: A review of connotation evolution and practice. Environmental Impact Assessment Review, 91, 106676. DOI: 10.1016/j.eiar.2021.106676
• Giles, J. (2005). Science in the web age: Start your engines. Nature, 438(7068), 554-556. DOI: 10.1038/438554A
• Ha, Q. M., Deville, Y., Pham, Q. D., & Hà, M. H. (2018). On the min-cost traveling salesman problem with drone. Transportation Research Part C: Emerging Technologies, 86, 597-621. DOI: 10.1016/j.trc.2017.11.015
• Hajek, P., Youssef, A., & Hajkova, V. (2022). Recent developments in smart city assessment: A bibliometric and content analysis-based literature review. Cities, 103709. DOI: 10.1016/j.cities.2022.103709
• Hwang, J., & Choe, J. Y. J. (2019). Exploring perceived risk in building successful drone food delivery services. International Journal of Contemporary Hospitality Management, 31(8), 3249-3269. DOI: 10.1108/IJCHM-07-2018-0558
• Hwang, J., & Kim, H. (2019). Consequences of a green image of drone food delivery services: The moderating role of gender and age. Business Strategy and the Environment, 28(5), 872-884. DOI: 10.1002/bse.2289
• Hwang, J., & Kim, H. (2020). The effects of expected benefits on image, desire, and behavioral intentions in the field of drone food delivery services after the outbreak of COVID-19. Sustainability, 13(1), 117. DOI: 10.3390/su13010117
• Hwang, J., Kim, H., & Kim, W. (2019a). Investigating motivated consumer innovativeness in the context of drone food delivery services. Journal of Hospitality and Tourism Management, 38, 102-110. DOI: 10.1016/j.jhtm.2019.01.004
• Hwang, J., Lee, J. S., & Kim, H. (2019b). Perceived innovativeness of drone food delivery services and its impacts on attitude and behavioral intentions: The moderating role of gender and age. International Journal of Hospitality Management, 81, 94-103. DOI: 10.1016/j.ijhm.2019.03.002
• Hwang, J., Kim, W., & Kim, J. J. (2020a). Application of the value-belief-norm model to environmentally friendly drone food delivery services: The moderating role of product involvement. International Journal of Contemporary Hospitality Management, 32(5), 1775-1794. DOI: 10.1108/IJCHM-08-2019-0710
• Hwang, J., Kim, D., & Kim, J. J. (2020b). How to form behavioral intentions in the field of drone food delivery services: The moderating role of the COVID-19 outbreak. International Journal of Environmental Research and Public Health, 17(23), 9117. DOI: 10.3390/ijerph17239117
• Hwang, J., Park, S., & Kim, I. (2020c). Understanding motivated consumer innovativeness in the context of a robotic restaurant: The moderating role of product knowledge. Journal of Hospitality and Tourism Management, 44, 272-282. https://doi.org/10.1016/j.jhtm.2020.06.003
• Hwang, J., Kim, J. J., & Lee, K. W. (2021a). 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. DOI: 10.1016/j.techfore.2020.120433
• Hwang, J., Choe, J. Y. J., Kim, H. M., & Kim, J. J. (2021b). Human baristas and robot baristas: How does brand experience affect brand satisfaction, brand attitude, brand attachment, and brand loyalty?. International Journal of Hospitality Management, 99, 1-12. https://doi.org/10.1016/j.ijhm.2021.103050
• Jasim, N. I., Kasim, H., & Mahmoud, M. A. (2022). Towards the development of smart and sustainable transportation system for foodservice ındustry: Modelling factors influencing customer’s ıntention to adopt drone food delivery (DFD) services. Sustainability, 14(5), 2852. DOI: 10.3390/su14052852
• Joerss, M., Schröder, J., Neuhaus, F., Klink, C., & Mann, F. (2016). How customer demands are reshaping last-mile delivery. McKinsey & Company, 1-32. https://www.mckinsey.com/~/media/mckinsey/industries/travel%20logistics%20and%20infrastructure/our%20insights/how%20customer%20demands%20are%20reshaping%20last%20mile%20delivery/how-customer-demands-are-reshaping-last-mile-delivery.pdf
• Khan, R., Tausif, S., & Javed Malik, A. (2019). Consumer acceptance of delivery drones in urban areas. International Journal of Consumer Studies, 43(1), 87-101. DOI: 10.1111/ijcs.12487
• Kim, J. J., & Hwang, J. (2020). Merging the norm activation model and the theory of planned behavior in the context of drone food delivery services: Does the level of product knowledge really matter?. Journal of Hospitality and Tourism Management, 42, 1-11. DOI: 10.1016/j.jhtm.2019.11.002
• Kim, J. J., Kim, I., & Hwang, J. (2021). A change of perceived innovativeness for contactless food delivery services using drones after the outbreak of COVID-19. International Journal of Hospitality Management, 93, 102758. DOI: 10.1016/j.ijhm.2020.102758
• Kousha, K., & Thelwall, M. (2007). Google Scholar citations and Google Web/URL citations: A multi‐discipline exploratory analysis. Journal of the American Society for Information Science and Technology, 58(7), 1055-1065. DOI: 10.1002/asi.20584
• Kulkarni, A. V., Aziz, B., Shams, I., & Busse, J. W. (2009). Comparisons of citations in Web of Science, Scopus, and Google Scholar for articles published in general medical journals. Jama, 302(10), 1092-1096. DOI: 10.1001/jama.2009.1307
• Leon, S., Chen, C., & Ratcliffe, A. (2021). Consumers’ perceptions of last mile drone delivery. International Journal of Logistics Research and Applications, 1-20. DOI: 10.1080/13675567.2021.1957803
• Lidynia, C., Philipsen, R., & Ziefle, M. (2017). Droning on about drones—acceptance of and perceived barriers to drones in civil usage contexts. In Advances in human factors in robots and unmanned systems (pp. 317-329). Springer, Cham. DOI:10.1007/978-3-319-41959-6_26
• Lidynia, C., Philipsen, R., & Ziefle, M. (2018). The Sky’s (not) the limit-influence of expertise and privacy disposition on the use of multicopters. In International Conference on Applied Human Factors and Ergonomics (pp. 270-281). Springer, Cham. DOI:10.1007/978-3-319-60384-1_26
• Liu, D., Lai, M. C., & Tsay, W. D. (2020). Determinants analysis of drone delivery service adoption. In 2020 3rd IEEE International Conference on Knowledge Innovation and Invention (ICKII) (pp. 1-4). IEEE. DOI: 10.1109/ICKII50300.2020.9318942
• Lokhande, A.P., Shaikh, A.N., & Patil, O.S. (2018). Drones in production, supply chain and logistics. International Research Journal of Engineering and Technology (IRJET), 5(2), 2179-2182.
• Macsween-George, S. L. (2003). Will the public accept UAVs for cargo and passenger transportation?. In 2003 IEEE Aerospace Conference Proceedings (Cat. No. 03TH8652) (Vol. 1, pp. 1-367). IEEE. DOI:10.1109/AERO.2003.1235066
• 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: Technology, Market, and Complexity, 7(2), 144. DOI: 10.3390/joitmc7020144
• McKinsey&Company, (2019). The Next Normal The future of parcel delivery: Drones and disruption.https://www.mckinsey.com/~/media/McKinsey/Featured%20Insights/The%20Next%20Normal/The-Next-Normal-The%20future-of-parcel-delivery-vF
• Michels, M., von Hobe, C. F., Weller von Ahlefeld, P. J., & Musshoff, O. (2021). The adoption of drones in German agriculture: a structural equation model. Precision Agriculture, 22(6), 1728-1748. DOI: 10.1007/s11119-021-09809-8
• Mittendorf, C., Franzmann, D., & Ostermann, U. (2017). Why would customers engage in drone deliveries?. Twenty-third Americas Conference on Information Systems, Boston, 2017. https://core.ac.uk/download/pdf/301371848.pdf
• Moshref-Javadi, M., Hemmati, A., & Winkenbach, M. (2020). A truck and drones model for last-mile delivery: A mathematical model and heuristic approach. Applied Mathematical Modelling, 80, 290-318. DOI: 10.1016/j.apm.2019.11.020
• Muhammad, A., Ali, M. A., Shanono, I. H., & Abdullah, N. R. H. (2021). A systematic and bibliometric analysis on 3D printing published in scientific citation index-expanded indexed journals between 1999 and 2019. Materials Today: Proceedings, 44, 1739-1743. DOI: 10.1016/j.matpr.2020.11.902
• Murray, C. C., & Raj, R. (2020). The multiple flying sidekicks traveling salesman problem: Parcel delivery with multiple drones. Transportation Research Part C: Emerging Technologies, 110, 368-398. DOI: 10.1016/j.trc.2019.11.003
• Napaporn, P. (2020). The intention to use drone technology in Thailand's construction industry. URI: https://archive.cm.mahidol.ac.th/handle/123456789/3569
• Neuhaus, C., & Daniel, H. D. (2008). Data sources for performing citation analysis: An overview. Journal of documentation. 64(2), 193-210. DOI: 10.1108/00220410810858010
• Osakwe, C. N., Hudik, M., Říha, D., Stros, M., & Ramayah, T. (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. DOI: 10.1016/j.jretconser.2021.102865
• Pitney Bowes (2021). Global Parcel Volume Exceeds 131 Billion in 2020, up 27 Percent Year-Over-Year, Finds Pitney Bowes Parcel Shipping Index. URL: https://news.pb.com/article_display.cfm?article_id=6007
• Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25(4), 348.
• Poikonen, S., Golden, B., & Wasil, E. A. (2019). A branch-and-bound approach to the traveling salesman problem with a drone. INFORMS Journal on Computing, 31(2), 335-346. DOI: 10.1287/ijoc.2018.0826
• See, K. F., Ülkü, T., Forsyth, P., & Niemeier, H. M. (2022). Twenty years of airport efficiency and productivity studies: A machine learning bibliometric analysis. Research in Transportation Business & Management, 100771. DOI: 10.1016/j.rtbm.2021.100771
• Sham, R., Siau, C. S., Tan, S., Kiu, D. C., Sabhi, H., Thew, H. Z., ... & Ramli, M. H. M. (2022). Drone Usage for Medicine and Vaccine Delivery during the COVID-19 Pandemic: Attitude of Health Care Workers in Rural Medical Centres. Drones, 6(5), 109. DOI: 10.3390/drones6050109
• Simoudis, E. (2020). The autonomous mobility innovation lifecycle. IEEE Potentials, 39(1), 9-14. DOI:10.1109/MPOT.2019.2935268
• Styliadis, T., & Chlomoudis, C. (2021). Analyzing the evolution of concentration within containerized transport chains through a circuitist approach: The role of innovations in accelerating the circuits of liner and container terminal operators. The Asian Journal of Shipping and Logistics, 37(4), 321-328. DOI: 10.1016/j.ajsl.2021.09.002
• The Brainy Insights (2022). Market research report. https://www.thebrainyinsights.com/report/drone-package-delivery-market-12826
• Thomas, L. (2017). Wal-Mart has an idea for a floating warehouse that could make deliveries via drones. CNBC Retail, https://www.cnbc.com/2017/08/18/wal-mart-files-patent-for-floating-wareh ouse-that-could-make-deliveries-with-drones.html
• 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(5), 2922. DOI: 10.3390/su14052922
• Yaprak, Ü., Kılıç, F., & 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. DOI: 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. DOI: 10.1016/j.tele.2018.04.014