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Determinants of Using Telematics Systems in Road Transport Companies

Author

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  • Magdalena Osinska
  • Wojciech Zalewski

Abstract

Purpose: The aim of this study is to evaluate the scope of using telematics systems based on GPS/GPRS in the road transport as well as to identify determinants of applying telematics tools to increase the quality in the supply chain. Design/Methodology/Approach: The contribution is based on a review of literature, preparing of a questionnaire-based survey directed to road transport companies and estimating logit models. Findings: It is submitted that there is an observable trend of extending telematics in the road transport. The following variables increase the probability of using telematics systems for punctuality checking in supply chains such as the number of employed persons, importance of telematics for getting new orders, managers’ viewpoints that telematics increases the quality of order processing and forecasting punctuality of loadings as well as speeds up decision-making processes. Practical Implications: Application of IT solutions including telematics in road transport is growing continuously. However, the awareness of managers about possible areas of applying them is still unsatisfactory. The paper reveals the determinants of application telematics in supply chain, which can be used to motivate and train managers to extend its scope in practice. Originality/Value: The study is based on primary data from road transport companies and related to the scope of application of telematics systems in operational management. A logit model is applied to evaluate the determinants of using IT systems in the road transport industry. It may be useful for practitioners and analytics of transport industry to broaden applications of IT solutions.

Suggested Citation

  • Magdalena Osinska & Wojciech Zalewski, 2020. "Determinants of Using Telematics Systems in Road Transport Companies," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 474-487.
    • Handle: RePEc:ers:journl:v:xxiii:y:2020:i:2:p:474-487
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    References listed on IDEAS

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    1. Wang, Gang & Gunasekaran, Angappa & Ngai, Eric W.T. & Papadopoulos, Thanos, 2016. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 176(C), pages 98-110.
    2. Diego Cattaruzza & Nabil Absi & Dominique Feillet & Jesús González-Feliu, 2017. "Vehicle routing problems for city logistics," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 6(1), pages 51-79, March.
    3. Harris, Irina & Wang, Yingli & Wang, Haiyang, 2015. "ICT in multimodal transport and technological trends: Unleashing potential for the future," International Journal of Production Economics, Elsevier, vol. 159(C), pages 88-103.
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    Cited by:

    1. Agnieszka Bekisz & Michal Kruszynski & Piotr Saska, 2023. "Road Transport Development: A Bibliometric Analysis of Scientific Discourse," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 242-254.
    2. Christoph Heinbach & Pascal Meier & Oliver Thomas, 2022. "Designing a shared freight service intelligence platform for transport stakeholders using mobile telematics," Information Systems and e-Business Management, Springer, vol. 20(4), pages 847-888, December.
    3. Patrycja Krawczyk & Judyta Kabus & Luiza Piersiala, 2020. "The Use of Information and Communication Technologies (ICT) in the Management of the TSL Industry: A Polish Example," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 1060-1073.
    4. Bartosz Zakrzewski & Katarzyna Szopik-Depczynska, 2021. "Road Transport in Poland - Status and Development Prospects," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 276-289.
    5. Jaroslaw Witkowski & Jakub Marcinkowski & Maja Kiba-Janiak, 2020. "A Comparative Analysis of Electronic Freight Exchanges in the United States and Europe with the Use of the Multiple Criteria Decision-Making Method “Promethee”," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 476-487.

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    More about this item

    Keywords

    IT solution; digital supply chain; road transport; logit model.;
    All these keywords.

    JEL classification:

    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • L9 - Industrial Organization - - Industry Studies: Transportation and Utilities
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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