Perspective of future use of autonomous robots in e-commerce

• Autorzy: Panasewicz Klaudia

Identyfikatory

DOI

10.29119/1641-3466.2022.158.30

• Języki publikacji: EN

Abstrakty

EN

Purpose: Identification of the barriers and determinants of the use of autonomous robots in e-commerce. Design/methodology/approach: The research procedure included a review of Polish and foreign literature and survey research. The paper presents the results of a Delphi study among 25 experts of courier services. Findings: The use of autonomous robots may be one of the solutions that will contribute to the improvement of the functionality of processes in enterprises. The process of implementing autonomous robots is associated with building a relationship based on trust between the user and technology Research limitations/implications: Limitations of the conducted research reflects to only one Delphi round. Practical implications: The results of the study may be helpful for transport companies and courier companies in improving the process of delivering parcels. They can be used for elaboration policy, tools and instrument for the purposes of limitation identified under the study main barriers of the application of autonomous robots in the e-commerce. Originality/value: The presented research and conclusions provide practical tips for transport and delivery companies on how to use autonomous robots to improve the process of delivering parcels in the e-commerce sector, based on the results obtained from the Delphi study.

Słowa kluczowe

EN

autonomous robot; logistics; e-commerce; modern technological solutions

PL

robot autonomiczny; logistyka; handel elektroniczny; nowoczesne rozwiązania technologiczne

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2022
• Tom: z. 158
• Strony: 473--487
• Opis fizyczny: Bibliogr. 44 poz.

Twórcy

autor

Panasewicz Klaudia

• Bialystok University of Technology, Faculty of Engineering Management, International Department of Logistics and Service Engineering, Poland

• https://orcid.org/0000-0002-3375-0890

Bibliografia

• 1. Al-maitah, T.A., Majali, T., Alsoud, M., Almaaitah, D. (2021). The Impact of COVID ON Electronic Commerce Users Behavior. Journal of Contemporary Issues in Business & Government, Vol. 27, Iss. 1, pp. 784-793.
• 2. Baganzi, R., Lau, A.K.W. (2017). Examining Trust and Risk in Mobile Money Acceptance in Uganda, Sustainability, Vol. 9, Iss. 12, p. 2233.
• 3. Barnette, Jackson J., and others (1978). Delphi Methodology: An Empirical Investigation, Educational Research Quarterly, Vol.3, pp. 67-73.
• 4. Batuhan, B. Taskin, E. (2020). The Effect of Value and Service Perceptions on Customer Loyalty for Electronic Commerce Sites; Mediator Role of Satisfaction and Trust. Business Management Dynamics, Vol. 10, Iss. 5, pp. 1-12.
• 5. Bawack, R.E., Wamba, S.F., Carillo, K.D.A., Akter, S. (2022). Artificial intelligence in E-Commerce: a bibliometric study and literaturę review. Eletronic Markets, 32, pp. 297-338.
• 6. Beloev, I., Kinaneva, D., Georgiev, G., Hristov, G., Zahariev. Plamen. Z. (2021). Artificial Intelligence-Driven Autonomous Robot for Precision Agriculture. Acta Technologica Agriculturae, Vol. 24, Iss. 1, pp. 48-54.
• 7. Bogue, R. (2019). Strong prospects for robots in retail. Industrial Robot, Vol. 46, Iss. 3, pp. 326-331.
• 8. Borowska, O., Parakiewicz, J. (2017). Zastosowanie innowacyjnych rozwiązań w gospodarce magazynowej. Ekonomika i Organizacja Logistyki, Vol. 2, Iss. 3, pp. 5-13.
• 9. Breńko, A., Kononiuk, A. (2021). Zastosowanie metody delfickiej do oceny możliwości wdrożenia innowacyjnych rozwiązań Przemysłu 4.0 w obszarze logistyki na przykładzie przedsiębiorstwa produkcyjno-usługowego. Akademia Zarządzania, Vol. 5, Iss.1, pp. 75-99.
• 10. Buldeo Rai, H., Touami, S., Dablanc, L. (2022). Autonomous e-commerce delivery in ordinary and exceptional circumstances. The French case. Research in Transportation Business & Management, 100774.
• 11. Čámská, D., Klečka, J. (2020). Cost development in logistics due to Industry 4.0. LogForum Vol. 16, Iss. 2, pp. 219-227.
• 12. Crowe, S. (2020). Nuro driverless vehicles approved for delivery tests in California. The Robot Report. https://www.therobotreport.com/nuro-driverless-delivery-vehicles-approved-california/, 2022.05.19.
• 13. Dąbrowski, T. (2016). E-commerce jako trend w kierunku nowoczesności usług logistycznych. Przedsiębiorczość i Zarządzanie, Vol. 18(12), Ch. 1, pp. 75-88.
• 14. Ding, Q., Zhao, H. (2021). Study on e-commerce Logistics cost control methods in the context of Covid-19 prevention and control. Soft computing, Vol. 25, Iss. 18, pp. 11955-11963.
• 15. Ejdys, J. (2013). Regionalny foresight gospodarczy. Scenariusze rozwoju lokalnego województwa mazowieckiego. Warszawa: Związek Pracodawców Warszawy i Mazowsza.
• 16. Ejdys, J., Gulc, A. (2020). Trust in Courier Services and its Antecedents as a Determinant of Perceived Service Quality and Future Intention to Use Courier Service. Sustainability, Vol. 12(21), pp. 1-19.
• 17. Ejdys, J., Halicka, K. (2018). Sustainable Adaptation of New Technology - The Case of Humanoids Used for the Care of Older Adults. Sustainability, Vol. 10(10), p. 3770.
• 18. Fitzgerald J., Quasney, E. (2017). Using autonomous robots to drive supplychain innovation. A series exploring Industry 4.0 technologies and their potencial impact for enabling digital supply networks in manufacturing, pp. 4-10.
• 19. GOV, https://www.biznes.gov.pl/pl/portal/001099, 2022.05.12.
• 20. GSMA (Global System for Mobile Association). The Mobile Economy (2017). Global System for Mobile Asociation. London, UK.
• 21. Joerss, M., Schröder, J., Neuhaus, F., Klink, C., Mann, F. (2016). Parcel delivery - The future of last mile. Travel, McKinsey & Company.
• 22. Kowalewska, A., Głuszyński, J. (2009). Zastosowanie metody Delphi w Narodowym Programie Foresight Polska 2020. Ministerstwo Nauki i Szkolnictwa Wyższego, Warszawa.
• 23. Kückelhaus, M., Chung, G. (2018). Logistics Trend Radar. Germany: DHL Customer Solutions & Innovation.
• 24. Kukiełka, K. (2019). Mapa rozwoju wybranych technologii w branży robotów medycznych. Warszawa: Polska Agencja Rozwoju Przedsiębiorczości.
• 25. Kunnapapdeelert, S., Johnson, J.V., Phalitnonkiat, P. (2022). Green last-mile route planning for efficient e-commerce distribution. Engineering Management in Production and Services, Vol. 14, Iss. 1, pp. 1-12.
• 26. Kunovjanek, M., Wankmüller, C. (2021). Containing the Covid-19 pandemic with drones - Feasibility of a drone enabled back-up transport system. Transport Policy, Vol. 106, pp. 141-152.
• 27. Lyons, J.B, Jessup, S.A., Vo, T.Q. (2022). The role of Decision Authority and Stated Social Intent as Predictors of Trust in Autonomous Robots. Topics in cognitive science, pp. 1-20.
• 28. Pani, A., Mishra, S., Golias, M., Figliozzi, M. (2020). Evaluating public acceptance of autonomous delivery robots during COVID-19 pandemic. Transportation Research Part D - Transport and Environment, Vol. 89, 102600.
• 29. Pavlenko, V., Pawvlenko, T., Morozova, O., Kuznetsova, A., Voropai, O. (2017). Solvinf transport logistics problems in a virtual enterprise through artificial intelligence methods. Transport Problems, Vol. 12, Iss. 2, pp. 31-42.
• 30. Peyas, I.S., Zahid. H., Md. Rafat Rahman, T., Musabbir, Al., Mehjabin, A.R., Shahnewaz, S. (2022). Autonomous Warehouse Robot using Deep Q-Learning. Cornell University.
• 31. Pieczarska, K. (2019). Conditions of the Development of Electronic Commerce in Poland. Research Papers of Wrocław University of Economics, Vol. 63, Iss. 7, pp. 92-102.
• 32. Ramey, J. (2020). The delivery robot revolution is not quite ready for primetime. Autoweek. https://www.autoweek.com/news/technology/a33339233/the-delivery-robot-revolution-is-not-quite-ready-for-primetime/, 2022.05.19.
• 33. Sartori, L.V. (2019). Simulation-Based Testing to Improve Safety of Autonomous Robots. IEEE International Symposium on Software Reliability Engineering Workshops, Vol. 10, pp. 104-107.
• 34. Saultech, https://sauletech.com/live/, 2022.05.12.
• 35. Siderska, J. (2020). Robotic Process Automation - A driver of digital transformation? Engineering Managament in Production and Services, Vol. 12, Iss. 2, pp. 21-31.
• 36. Sinha, S.N., Tanty, G. (2020). E-commerce adaptability with reference to deliver of products. PalArch's Journal of Archaeology of Egypt/Egyptology, Vol. 17, Iss. 9, pp.123-130.
• 37. Szpilko, D., Bazydło, D., Bonadar, E. (2021). Wpływ pandemii COVID-19 na zakres i jakość usług kurierskich. Wyniki badań wstępnych. Marketing i Rynek, Vol. 28, Iss. 5, pp. 10-22.
• 38. Szymańska, O., Adamczak, M., Cyplik, P. (2017). Logistics 4.0 - A new paradigm or set of know solutions? Research in Logistics & Production, Vol. 7, Iss. 4, pp. 299-310.
• 39. Szymański, G. (2013). Innowacje marketingowe w sektorze e-commerce. Łódź: Politechnika Łódzka.
• 40. Tammvee, M., Anbarjafari, G. (2020). Human activity recognition-based path planning for autonomous vehicles. Signal, image and video processing, Vol. 15, Iss. 4, pp. 809-816.
• 41. Tubis, A.A., Poturaj, H. (2021). Challenges in the implementation of autonomous robots in the process of feeding materials on the production line as part of Logistics 4.0. LogForum, Vol. 17, Iss. 3, pp. 411-423.
• 42. Xiong, L, Xiaodong, Z., Wangtu Ato, X., Wei, P. (2020). Measuring ease of use of mobile applications in e-commerce retailing from the perspective of consumer online shopping behaviour patterns. Journal of Retailing and Consumer Services, Vol. 55, 102093.
• 43. Zabih, G., Srikanth, K. (2021). Analytical models for collaborative autonomous mobile robots solutions in fulfillment centers. Applied Mathematical Modelling, Vol. 91, pp. 438-457.
• 44. Zaouter, C., Joosten, A., Rinehart, J., Struys, M., Hemmerling, T. (2020). Autonomous Systems in Anesthesia: Where Do We Stand in 2020? A narrative Review. Anesthesia & Analgesia, Vol. 130, Iss. 5, pp. 1120-1132.

Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).