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Drone technology and performance of retail logistics

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Języki publikacji
EN
Abstrakty
EN
The purpose of this research study was to explore drone technology and performance of retail logistics by offering academic and practical benefits, explaining the preceding, and recommending a research plan based on a conceptual framework for drone technology and performance of retail logistics. A literature review has been created to assist today's retail logistics managers and researchers in scrutinizing what has been previously researched and what needs to be explored. From the standpoint of retail logistics, the study adds to our knowledge of drone technology as it relates to the performance of retail logistics and the constraints of future research. This study utilized a systematic literature review to design a suggested conceptual framework for a research agenda on drone technology and performance of retail logistics. The research paper provides insights into deficiencies in the drone technology, along with performance of retail logistics literature. The research paper explicitly recommends exploring the drone technology as it relates to expected and actual performance of retail logistics. This article contributes to the literature in a number of ways. To begin with, it provides the first comprehensive succinct synopsis of the essential concepts in the drone technology and retail logistics. Second, the impact of retail logistics in the growth of the economy. Third, the application of drone technology in retail logistics. Fourth, unnoticed challenges in retail logistics are then exposed as ideas for potential research. Finally, the technique utilized to conduct the systematic literature review can be used as a model for prospective researchers when conducting similar research. Contemporary research is aimed at providing a research group that address the needs of adopting the current technology on the performance of retail logistics. For performance of retail logistics, the article presents a suggested conceptual framework for drone technology and performance of retail logistics.
Twórcy
  • Jomo Kenyatta University of Agriculture & Technology, Juja Kwale, Rd, Juja, Kenya Department of Procurement and Logistics, School of Business and Entrepreneurship
  • Jomo Kenyatta University of Agriculture & Technology, Juja Kwale, Rd, Juja, Kenya Department of Procurement and Logistics, School of Business and Entrepreneurship
Bibliografia
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  • Council of Logistics Management. (2001). CLM’s Definition of Logistics. Retrieved from https://www.clm1.org. Kithinji impact.
  • Dasyam, N. (2017). Warehouse Robotics Market. Allied Market Research report.
  • de Miguel Molina, M., Santamarina Campos, V., Carabal Montagud, M. Á., & de Miguel Molina, B. (2018). Ethics for civil indoor drones: A qualitative analysis. International Journal of Micro Air Vehicles, 10(4), 340-351.
  • Denyer, D., & Tranfield, D. (2009). Producing a systematic review. The Sage Handbook of Organizational Research Methods. Sage Publications Ltd.
  • Desjardins, J. (2018). Is the future of ecommerce in drone deliveries. Visual Capitalist.
  • DHL. (2014). Unmanned Aerial Vehicles in Logistics: A DHL perspective on implications and use cases for the logistics industry.
  • Eichleay, M., Evens, E., Stankevitz, K., & Parker, C. (2019). Using the unmanned aerial vehicle delivery decision tool to consider transporting medical supplies via drone. Global Health: Science and Practice, 7(4), 500-506.
  • Elo, S., & Kyngäs, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 6(2), 107-115.
  • Esper, T. L., Jensen, T. D., Turnipseed, F. L., & Burton, S. (2003). The last mile: an examination of effects of online retail delivery strategies on consumers. Journal of Business logistics, 24(2), 177-203.
  • Futch, M. (2017). Rise of the Warehouse Robots. Material Handling & Logistics.
  • Goldstein, R. (2017). Global warehouse robotics market outlook 2024.
  • Hayat, S., Yanmaz, E., & Muzaffar, R. (2016). Survey on unmanned aerial vehicle networks for civil applications: A communications viewpoint. IEEE Communications Surveys & Tutorials, 18(4), 2624-2661.
  • Heutger, M. (2014). Unmanned aerial vehicles in logistics A DHL perspective on implications and use cases for the logistics industry, DHL Customer Solutions.
  • Joglekar, N. R., Davies, J., & Anderson, E. G. (2016). The role of industry studies and public policies in production and operations management. Production and Operations Management, 25(12), 1977-2001.
  • Joshi, D. (2017). Drone Technology and Usage: Current Uses and Future Drone Technology. Business Insider, July, 13.
  • Kanistras, K., Martins, G., Rutherford, M. J., & Valavanis, K. P. (2015). Survey of unmanned aerial vehicles (UAVs) for traffic monitoring. In Handbook of unmanned aerial vehicles (pp. 2643-2666). Springer Netherlands.
  • Khofiyah, N. A., Sutopo, W., & Ardiansyah, R. (2020). Global Business Strategy for Commercializing a Technology of Drone: A Lesson Learned from DJI Drones and Parrot Drones. In Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management Detroit (pp. 10-14).
  • Kim, M., & Matson, E. (2017). A Cost-Optimization Model in Multi-agent System Routing for Drone Delivery. PAAMS.
  • KNHDR. (2013). Kenya National Human Development Report 2013. UNEP.
  • Kunze, O. (2016). Replicators, ground drones and crowd logistics a vision of urban logistics in the year 2030. Transportation Research Procedia, 19, 286-299.
  • Lachow, I. (2017). The upside and downside of swarming drones. Bulletin of the Atomic Scientists, 73(2), 96-101.
  • Levy, Y., & Ellis, T. J. (2006). A systems approach to conduct an effective literature review in support of information systems research. Informing Science Journal, 9(5), 558-562.
  • Macaulay, J., Buckalew, L., & Chung, G. (2015). Internet of things in logistics. DHL Trend Research, 1(1), 1-27.
  • Madlberger, M. (2013). Electronic Retailing: Marketinginstrumente und Marktforschung im Internet. Springer-Verlag.
  • Mckinnon, A. C. (2016). The possible impact of 3D printing and drones on last-mile logistics: An exploratory study. Built Environment, 42(4), 617-629.
  • Meyer, J., Becker, H., Bösch, P. M., & Axhausen, K. W. (2017). Autonomous vehicles: The next jump in accessibilities. Research in Transportation Economics, 62, 80-91.
  • Milovanović, G., Milovanović, S., & Radisavljević, G. (2017). Globalization - the key challenge of modern supply chains. Ekonomika, 63(1), 31-40.
  • Motlagh, N. H., Taleb, T., & Arouk, O. (2016). Low-altitude unmanned aerial vehicles-based internet of things services: Comprehensive survey and future perspectives. IEEE Internet of Things Journal, 3(6), 899-922.
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  • Perera, S., Dawande, M., Janakiraman, G., & Mookerjee, V. (2020). Retail deliveries by drones: How will logistics networks change?. Production and Operations Management, 29(9), 2019-2034.
  • Persson, E. (2021). A systematic literature review on drones’ application in last-mile delivery. Master thesis. University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Management, Industrial Design and Mechanical Engineering
  • Rana, K., Praharaj, S., & Nanda, T. (2016). Unmanned aerial vehicles (UAVs): An emerging technology for logistics. International Journal of Business and Management Invention, 5(5), 86-92.
  • Republic of Kenya. (2018). Third Medium Term Plan 2018-2022. Transforming Lives: Advancing Social Economic Development Through the ‘Big Four” Government of Kenya.
  • Ro, K., Oh, J. S., & Dong, L. (2007). Lessons learned: Application of small UAV for urban highway traffic monitoring. 45th AIAA Aerospace Sciences Meeting and Exhibit, pp. 1-19.
  • Rosnell, T., & Honkavaara, E. (2012). Point Cloud generation from Aerial Image Data Acquired by Quadrocopter Type Micro Unmanned Aerial Vehicle and Digital Still Camera. Sensors, 12(4), 453-480.
  • Sandberg, E., Kihlén, T., & Abrahamsson, M. (2011). Characteristics of a Logistics-Based Business Model. Journal of Marketing Channels, 18(2), 123-145.
  • Schreier, M. (2012). Qualitative content analysis in practice. Thousand Oaks, CA: Sage.
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  • Skorput, P., Mandzuka, S., & Vojvodic, H. (2016, September). The use of Unmanned Aerial Vehicles for forest fire monitoring. In 2016 International Symposium ELMAR (pp. 93-96). IEEE.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a527df9f-8d86-4f3d-b57b-08d06476a5c1
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