Marketing and Management of Innovations

ISSN (print) – 2218-4511 

ISSN (online) – 2227-6718

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Identifier in the register: R30-01179 Decision dated August 31, 2023, No. 759

The language of publication is English. 

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Oleksii Lyulyov

Sumy State University | Ukraine

Digitization of Accounting in the Innovative Management of Autonomous Robotic Transport

Zenovii-Mykhaylo Zadorozhnyi 1, ,  Volodymyr Muravskyi  1,*, , , Oleg Shevchuk 1, , Vasyl Muravskyi 1, , Marian Zadorozhnyi 1,
  1. West Ukrainian National University, Ukraine

        * Corresponding author

DOI: https://doi.org/10.21272/mmi.2024.3-09

Pages: 110–126

Received: 20 April 2024

Revised: 10 August 2024

Accepted: 7 September 2024

Abstract

The digitization of economic processes is advancing across all sectors, contributing to the development of Industry 5.0. A key element of this fifth industrial revolution is the activation of robotic economic activity. Recently, advancements in autonomous robotic transport have been implemented in practice. However, both the practical application of unmanned vehicles and scientific developments in this field have shown low efficiency in the implementation of projects for the autonomous transportation of goods and passengers. This inefficiency stems from insufficient attention to the accounting and management aspects of autonomous robotic transport operations. The scientific and practical novelty of this study lies in improving accounting and management practices in the context of digitalization, specifically by addressing the fundamental transformations in economic processes caused by the use of autonomous vehicles. The key organizational factors influencing accounting for robotic transport operations include the type of transported objects, fuel and energy resource consumption, human involvement, the capacity and number of goods (or passengers) transported at one time, continuous operation, maintainability, software update capabilities, autonomous interaction with other transport means, and communication and information sharing with customers of transport services. A method for digitizing the accounting of fuel and energy costs, personnel wages, social activity deductions, depreciation, operational costs, and other costs related to the functioning of autonomous robotic transport has been developed. This method leverages IoT data and considers the organizational prerequisites mentioned. The use of two-dimensional calculation units, such as “kilogram-kilometre” and “passenger-kilometre” units, for the digitalization of cost calculations for passenger and cargo transportation via autonomous robotic transport has been proposed. Additionally, the procedure for determining the cost of transport services for end users and the formation of information arrays for the innovative management of transport enterprises has been refined. The elimination of organizational restrictions in managing autonomous transport operations, alongside the need for information synchronization between transport enterprises and other business entities within the information ecosystem of a smart city, highlights future research prospects in this area.

Keywords: digitalization of accounting, innovative management, costing, autonomous transport, robotic vehicles, unmanned aerial vehicles, electronic transactions.

How to Cite: Zadorozhnyi, Z.-M., Muravskyi, V., Shevchuk O., Muravskyi, V., & Zadorozhnyi, M. (2024). Digitization of Accounting in the Innovative Management of Autonomous Robotic Transport. Marketing and Management of Innovations, 15(3), 110–126. https://doi.org/10.21272/mmi.2024.3-09

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References

  1. Akhtar, M. W., & Hassan, S. A. (2021). Future Autonomous Transportation: Challenges and Prospective Dimensions. In Intelligent Cyber-Physical Systems for Autonomous Transportation. Cham: Springer International Publishing, 21-34. [Google Scholar] [CrossRef]
  2. Alif, A., Kavitha, C. & S S, Sreeja. (2023). Decentralized Control and Obstacle Avoidance in Autonomous Cooperative Transport System. Journal of Aerospace Sciences and Technologies, 36-45. [Google Scholar] [CrossRef]
  3. Autonomous Vehicle Market by Level of Automation, Application (Civil, Defense, Transportation & Logistics, and Construction), Drive Type (Semiautonomous and Fully Autonomous), and Vehicle Type (Passenger Car and Commercial Vehicle) (2022). Global Opportunity Analysis and Industry Forecast, 2021-2030. [Link]
  4. Autonomous Vehicle Market Size – By Level of Autonomy (Level 1, Level 2, Level 3, Level 4, Level 5), By Vehicle (Passenger, Commercial), By Fuel (ICE, Electric, Hybrid), By Application (Personal, Public, Goods, Industrial) & Global Forecast, 2024 – 2032. [Link].
  5. Autonomous vehicle. 2024. Golden Guide. [Link]
  6. Autonomous vehicles – global market penetration 2021-2030. (2022). Statista Research Department. [Link]
  7. Baliyan, A., Dhatterwal, J. S., Kaswan, K. S., & Jain, V. (2022). Role of AI and IoT techniques in autonomous transport vehicles. In AI enabled IoT for Electrification and connected transportation, Singapore: Springer Nature Singapore, 1-23. [Google Scholar] [CrossRef].
  8. Basic cost norms (supplement to the «Methodical recommendations for normalization of consumption of fuel, electricity, lubricants, other operating materials by cars and machinery»). State Enterprise «State Motor Vehicle Research and Design Institute». (2023). [Link]
  9. Bellone, M., Ismailogullari, A., Kantala, T., Mäkinen, S., Soe, R. M., & Kyyrö, M. Å. (2021). A cross-country comparison of user experience of public autonomous transport. European Transport Research Review, 13(1), 19. [Google Scholar] [CrossRef]
  10. Booth, L., Farrar, V., Thompson, J., Vidanaarachchi, R., Godic, B., Brown, J., … & Pettigrew, S. (2023). Anticipated Transport Choices in a World Featuring Autonomous Transport Options. Sustainability, 15(14), 11245. [Google Scholar] [CrossRef]
  11. Booth, L., Karl, C., Farrar, V., & Pettigrew, S. (2024). Assessing the Impacts of Autonomous Vehicles on Urban Sprawl. Sustainability, 16(13), 5551. [Google Scholar] [CrossRef]
  12. Calculator for calculating depreciation of fixed assets. Buhgalter911. 2024. [Link]
  13. Center for Sustainable Systems, University of Michigan. (2021). Autonomous Vehicles Factsheet. Pub. CSS16-18. [Link]
  14. Cheng, C., Adulyasak, Y., & Rousseau, L. M. (2024). Robust drone delivery with weather information. Manufacturing & Service Operations Management. [Google Scholar] [CrossRef]
  15. Cordera, R., González-González, E., Nogués, S., Arellana, J., & Moura, J. L. (2022). Modal choice for the driverless city: scenario simulation based on a stated preference survey. Journal of advanced transportation, 2022(1), 1108272. [Google Scholar] [CrossRef]
  16. Delivery of the future. (2024). As self-driving robots, cars and drones are changing modern logistics. Forbes. [Link]
  17. Devis, A. (2017). Nissan’s Path to Self-Driving Cars? Humans in Call Centers. Wired. [Link]
  18. (2024). The Economic Roadmap: Understanding Truck Driver Compensation Across Europe. [Link]
  19. Hamadneh, J., & Esztergár-Kiss, D. (2024). The Impact of Multitasking on Transport Mode Choice in Autonomous Vehicle Age. IEEE Access. [Google Scholar] [CrossRef]
  20. Hamadneh, J., Hamdan, N., & Mahdi, A. (2024). Users’ Transport Mode Choices in the Autonomous Vehicle Age in Urban Areas. Journal of Transportation Engineering, Part A: Systems, 150(1), 04023128. [Google Scholar] [CrossRef].
  21. Hjalmarsson-Jordanius, A., Edvardsson, M., Romell, M., Isacson, J., Aldén, C. J., & Sundin, N. (2018). Autonomous transport: transforming logistics through driverless intelligent transportation. Transportation Research Record, 2672(7), 24-33. [Google Scholar] [CrossRef]
  22. Kaplan, M., & Heaslip, K. (2024). Literature Synthesis of Emerging Last-Mile Delivery Technologies and their Applications to Rural Areas: Drones, Autonomous Delivery Vehicles, and Truck-Drones. Transportation Research Record, 03611981241248156. [Google Scholar][CrossRef]
  23. Ketabi, H. (2023). “Emergent Horizons: The Convergence of Autonomous Vehicles and Advanced Learning in Post-Pandemic Transport Resilience. [Google Scholar] [CrossRef]
  24. Klinkhardt, C., Kandler, K., Kostorz, N., Heilig, M., Kagerbauer, M., & Vortisch, P. (2024). Integrating Autonomous Busses as Door-to-Door and First-/Last-Mile Service into Public Transport: Findings from a Stated Choice Experiment. Transportation Research Record, 2678(2), 605-619. [Google Scholar] [CrossRef]
  25. Ko, Y. K., Han, H., Oh, Y., & Ko, Y. D. (2024). The Development of an Optimal Operation Algorithm for Food Delivery Using Drones Considering Time Interval between Deliveries. Drones, 8(6), 230. [Google Scholar] [CrossRef]
  26. Konecka, S., Łupicka, A., & Jurczak, M. (2020). Autonomous transport in the context of sustainable development. Challenges and modern solution in transportation, 26-36. [Link]
  27. Kortekaas, J. J., Beirigo, B. A., & Schulte, F. (2023). Beyond Cargo Hitching: Combined People and Freight Transport Using Dynamically Configurable Autonomous Vehicles. In International Conference on Computational Logistics(pp. 381-395). Cham: Springer Nature Switzerland.[Google Scholar] [CrossRef]
  28. Muravskyi, V., Zadorozhnyi, Z. M., Lytvynenko, V., Yurchenko, O., & Koshchynets, M. (2022). Comprehensive use of 6G cellular technology accounting activity costs and cyber security. Independent Journal of Management & Production, 13(3), 107-122. [Google Scholar][CrossRef]
  29. Nagappan, G., Maheswari, K. G., Siva, C., & Shobana, M. (2024). Cluster‐based context‐aware route service management for smart intelligent autonomous vehicles with industrial transport system. International Journal of Communication Systems, 37(5), e5682. [Google Scholar] [CrossRef]
  30. Pigeon, C., Alauzet, A., & Paire-Ficout, L. (2021). Factors of acceptability, acceptance and usage for nonrail autonomous public transport vehicles: A systematic literature review. Transportation research part F: traffic psychology and behaviour, 81, 251-270. [Google Scholar][CrossRef]
  31. Pillai, G. M., Suresh, A., Gupta, E., Ganapathy, V., & Patra, A. (2024). Privadome: Delivery Drones and Citizen Privacy. Proceedings on Privacy Enhancing Technologies, 2, 29–48. [Google Scholar] [CrossRef]
  32. Poliak, M., Šimurková, P., & Cheu, K. (2019). Wage inequality across the road transport sector within the EU. Transport problems, 14(2), 145-153. [Google Scholar] [CrossRef]
  33. Rahmani, M., Delavernhe, F., Senouci, S. M., & Berbineau, M. (2024). Toward Sustainable Last-Mile Deliveries: A Comparative Study of Energy Consumption and Delivery Time for Drone-Only and Drone-Aided Public Transport Approaches in Urban Areas. IEEE Transactions on Intelligent Transportation Systems, 1-13. [Google Scholar] [CrossRef]
  34. Topic T.3602. [Link]
  35. Self-driving Car Logs More Miles. (2012). Googleblog. [Link]
  36. Serafin, T. (2021). Time Based Evaluation Method of Autonomous Transport Systems in the Industrial Environment. Theory and Engineering of Dependable Computer Systems and Networks, AISC, 1389, 413-424. [Google Scholar] [CrossRef]
  37. Shafiei, S., Dia, H., Wu, W., Grzybowska, H., & Qin, A. K. (2023). An Agent-Based Simulation Approach for Urban Road Pricing Considering the Integration of Autonomous Vehicles With Public Transport. IEEE Transactions on Intelligent Transportation Systems, 25 (2), 1364-1373. [Google Scholar] [CrossRef]
  38. Stoklosa, A. (2020). Tesla Puts «Beta» Version of Full Self-Driving Capability in Hands of Select Few. Motor Trend. Oct 22, 2020. [Link]
  39. Stradner, S., & Brunner, U. (2019). Digitalized and autonomous transport-challenges and chances. In Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics. Proceedings of the Hamburg International Conference of Logistics (HICL), Berlin: epubli GmbH. 28, 241-269. [Google Scholar] [CrossRef]
  40. Thorhauge, M., Jensen, A. F., & Rich, J. (2022). Effects of autonomous first-and last mile transport in the transport chain. Transportation Research Interdisciplinary Perspectives, 15, 100623. [Google Scholar] [CrossRef]
  41. Tomaszewski, K. (2017). Autonomous Vehicles as a Challenge for the Transport Policy of the European Union. Przegląd Europejski, 4, 76-95. [Google Scholar] [CrossRef]
  42. Tscharaktschiew, S., & Evangelinos, C. (2022). Optimal transport pricing in an age of fully autonomous vehicles: is it getting more complicated?. Future Transportation, 2(2), 347-364. [Google Scholar] [CrossRef].
  43. Uber self-driving cars allowed back on California roads. (2020). BBC News. [Link]
  44. Wang, B., & Wang, Y. L. (2023). AHI: Smart Logistics for Autonomous Transport Using IoT and Blockchain Technology. International Journal of Cooperative Information Systems, 32(03), 2150006. [Google Scholar] [CrossRef]
  45. Yamada, K., Karuno, Y., Kataoka, R., & Sawada, S. (2024). Drone scheduling for parcel delivery with an access grade to stops on a fixed truck route. Journal of Advanced Mechanical Design, Systems, and Manufacturing, 18(2), JAMDSM0021-JAMDSM0021. [Google Scholar][CrossRef]
  46. Yuen, K. F., Choo, L. Q., Li, X., Wong, Y. D., Ma, F., & Wang, X. (2022). A theoretical investigation of user acceptance of autonomous public transport. Transportation, 1-25. [Google Scholar] [CrossRef]
  47. Zadorozhnyi, Z.-M., Muravskyi, V., Shesternyak, M., & Hrytsyshyn, A. (2022). Innovative NFC-Validation System for Accounting of Income and Expenses of Public Transport Enterprises. Marketing and Management of Innovations, 1, 84-93. [Google Scholar] [CrossRef]

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