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MCDM Evaluation of Asset-Based Road Freight Transport Companies Using Key Drivers That Influence the Enterprise Value

Author

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  • Edvardas Liachovičius

    (Girteka Logistics, Račių g. 1, LT-03154 Vilnius, Lithuania)

  • Viktor Skrickij

    (Transport and Logistics Competence Centre, Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania)

  • Askoldas Podviezko

    (Faculty of Public Governance and Business, Institute of Business and Economics, Mykolas Romeris University, Ateities g. 20, LT-08303 Vilnius, Lithuania)

Abstract

Business owners are trying to enhance company value by developing growth strategies. Besides, they need to know what supports and drives the attractiveness to potential investors. Previously to determine company value, only financial drivers were used. These are essential drivers; however, even they do not reflect the overall situation. This paper proposes a novel approach for the solution of the problem of business valuation by taking into account both financial and non-financial drivers and by using several MCDM (multiple criteria decision making) methods simultaneously both for establishing weights and for the evaluation itself. World-leading road freight transport companies were selected for a case study. MCDM methods were used for determining the weights of the drivers and comparing the listed companies. Key drivers were identified, and the ranking of companies is provided.

Suggested Citation

  • Edvardas Liachovičius & Viktor Skrickij & Askoldas Podviezko, 2020. "MCDM Evaluation of Asset-Based Road Freight Transport Companies Using Key Drivers That Influence the Enterprise Value," Sustainability, MDPI, vol. 12(18), pages 1-16, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7259-:d:408932
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    References listed on IDEAS

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    Cited by:

    1. Luis Pérez-Dominguez & Sara-Nohemí Almeraz Durán & Roberto Romero López & Iván Juan Carlos Pérez-Olguin & David Luviano-Cruz & Jesús Andrés Hernández Gómez, 2021. "Assessment Urban Transport Service and Pythagorean Fuzzy Sets CODAS Method: A Case of Study of Ciudad Juárez," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
    2. Kristina Vaičiūtė & Aušra Katinienė & Gintautas Bureika, 2022. "The Synergy between Technological Development and Logistic Cooperation of Road Transport Companies," Sustainability, MDPI, vol. 14(21), pages 1-22, November.
    3. Elzbieta Broniewicz & Karolina Ogrodnik, 2021. "A Comparative Evaluation of Multi-Criteria Analysis Methods for Sustainable Transport," Energies, MDPI, vol. 14(16), pages 1-23, August.
    4. Faruk Görçün, Ömer. & Chatterjee, Prasenjit. & Stević, Željko. & Küçükönder, Hande., 2024. "An integrated model for road freight transport firm selection in third-party logistics using T-spherical Fuzzy sets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).

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