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Efficiency of Telematics Systems in Management of Operational Activities in Road Transport Enterprises

Author

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  • Ryszard K. Miler

    (Management and Finance Institute, WSB University in Gdańsk, Al. Grunwaldzka 238 A, 80-266 Gdańsk, Poland)

  • Marcin J. Kisielewski

    (Management and Finance Institute, WSB University in Gdańsk, Al. Grunwaldzka 238 A, 80-266 Gdańsk, Poland)

  • Anna Brzozowska

    (Faculty of Management, Business Informatics and Ecosystems, Czestochowa University of Technology, ul. J.H. Dąbrowskiego 69, 42-201 Częstochowa, Poland)

  • Antonina Kalinichenko

    (Institute of Environmental Engineering and Biotechnology, University of Opole, Kominka Street, 6, 45-032 Opole, Poland
    Department of Information System and Technology, Poltava State Agrarian Academy, Skovorody 1/3, 36003 Poltava, Ukraine)

Abstract

Implemented in road transport enterprises (RTEs) on a large scale, telematics systems are dedicated both to the particular aspects of their operation and to the integrated fields of the total operational functioning of such entities. Hence, a research problem can be defined as the identification of their efficiency levels in the context of operational activities undertaken by RTEs (including more holistic effects, e.g., lowering fuel/energy consumption and negative environmental impacts). Current research studies refer to the efficiency of some particular modules, but there have not been any publications focused on describing the efficiency of telematics systems in a more integrated (holistic) way, due to the lack of a universal tool that could be applied to provide this type of measurement. In this paper, an attempt at filling the identified cognitive gap is presented through empirical research analysing the original matrix developed by the authors that refers to the efficiency rates of organisational activities undertaken by RTEs. The purpose of this paper is to present a tool that has been designed to provide a holistic evaluation of efficiency of telematics systems in RTE operational management. The results are presented in a form of an individual (ontogenetic) matrix of the analysed companies, for which a determinant was calculated with the use of Sarrus’ rule. Obtained in such a way, the set of values identified for the determinants of the subsequent ontogenetic matrices came as an arithmetic progression that characterised the scope and the level of the influence exerted by the implemented IT (information technology) systems on the organisational efficiency of operational activities undertaken by the analysed RTEs. We present a hypothesis stating that the originally developed matrix can be viewed as a reliable tool used for comparative analysis in the field of efficiency of telematics systems in RTEs, and this hypothesis was positively verified during the research. The obtained results prove the significant potential for the wide application of the discussed matrix, which can be used as a universal tool for the analysis and comparison of efficiency indicated by the integrated IT systems in the operational activities undertaken by RTEs.

Suggested Citation

  • Ryszard K. Miler & Marcin J. Kisielewski & Anna Brzozowska & Antonina Kalinichenko, 2020. "Efficiency of Telematics Systems in Management of Operational Activities in Road Transport Enterprises," Energies, MDPI, vol. 13(18), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4906-:d:415844
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    References listed on IDEAS

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    1. Baldini, Gianmarco & Sportiello, Luigi & Chiaramello, Michel & Mahieu, Vincent, 2018. "Regulated applications for the road transportation infrastructure: The case study of the smart tachograph in the European Union," International Journal of Critical Infrastructure Protection, Elsevier, vol. 21(C), pages 3-21.
    2. Lotte Verdonck & AN Caris & Katrien Ramaekers & Gerrit K. Janssens, 2013. "Collaborative Logistics from the Perspective of Road Transportation Companies," Transport Reviews, Taylor & Francis Journals, vol. 33(6), pages 700-719, November.
    3. Robert E. Quinn & John Rohrbaugh, 1983. "A Spatial Model of Effectiveness Criteria: Towards a Competing Values Approach to Organizational Analysis," Management Science, INFORMS, vol. 29(3), pages 363-377, March.
    4. Mária Ďurišová & Emese Tokarčíková & Florina Oana Virlanuta & Zuzana Chodasová, 2019. "The Corporate Performance Measurement and Its Importance for the Pricing in a Transport Enterprise," Sustainability, MDPI, vol. 11(21), pages 1-17, November.
    5. Dubrovsky, Valery & Yaroshevich, Natalya & Kuzmin, Evgeny, 2016. "Transactional approach in assessment of operational performance of companies in transport infrastructure," MPRA Paper 72001, University Library of Munich, Germany.
    6. Guo, Ren-Yong & Szeto, W.Y. & Long, Jiancheng, 2020. "Trial-and-error operation schemes for bimodal transport systems," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 106-123.
    7. Coronado Mondragon, Adrian E. & Lalwani, Chandra S. & Coronado Mondragon, Etienne S. & Coronado Mondragon, Christian E., 2009. "Facilitating multimodal logistics and enabling information systems connectivity through wireless vehicular networks," International Journal of Production Economics, Elsevier, vol. 122(1), pages 229-240, November.
    8. Valentin Carlan & Christa Sys & Thierry Vanelslander, 2019. "Innovation in Road Freight Transport: Quantifying the Environmental Performance of Operational Cost-Reducing Practices," Sustainability, MDPI, vol. 11(8), pages 1-26, April.
    9. Sheng Teng Huang & Emrah Bulut & Okan Duru, 2019. "Service quality evaluation of international freight forwarders: an empirical research in East Asia," Journal of Shipping and Trade, Springer, vol. 4(1), pages 1-16, December.
    10. Gunnar Stefansson & Kenth Lumsden, 2009. "Performance issues of Smart Transportation Management systems," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 58(1), pages 55-70, January.
    11. Olena Kopishynska & Yurii Utkin & Antonina Kalinichenko & Dorota Jelonek, 2016. "Efficacy Of The Cloud Computing Technology In The Management Of Communication And Business Processes Of The Companies," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 14(2), pages 104-114, December.
    12. Robert Russell, R., 1985. "Measures of technical efficiency," Journal of Economic Theory, Elsevier, vol. 35(1), pages 109-126, February.
    13. Mikhail KRASNYANSKIY & Nikolai PENSHIN, 2016. "Quality Criteria When Assessing Competitiveness In Road Transport Services," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 11(4), pages 15-20, December.
    14. Russell, R. Robert, 1985. "On the Axiomatic Approach to the Measurement of Technical Efficiency," Working Papers 85-33, C.V. Starr Center for Applied Economics, New York University.
    15. Kim S. Cameron, 1986. "Effectiveness as Paradox: Consensus and Conflict in Conceptions of Organizational Effectiveness," Management Science, INFORMS, vol. 32(5), pages 539-553, May.
    16. Nicky Gregson, 2017. "Logistics at Work: Trucks, Containers and the Friction of Circulation in the UK," Mobilities, Taylor & Francis Journals, vol. 12(3), pages 343-364, May.
    17. Kiron Chatterjee, 1999. "Modelling the impacts of transport telematics: Current limitations and future developments," Transport Reviews, Taylor & Francis Journals, vol. 19(1), pages 57-80, January.
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    2. Anna Brzozowska & Jerzy Korczak & Antonina Kalinichenko & Dagmara Bubel & Katarzyna Sukiennik & Daniel Sikora & Jan Stebila, 2021. "Analysis of Pollutant Emissions on City Arteries—Aspects of Transport Management," Energies, MDPI, vol. 14(11), pages 1-17, May.

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