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The Future of Facilities Management in Lithuania

Author

Listed:
  • Willem Karel M. BRAUERS

    (University of Antwerp, Faculty of Applied Economics, Antwerpen, Belgium.)

  • Edmundas Kazimieras ZAVADSKAS

    (Vilnius Gediminas Technical University, Civil Engineering Faculty, Department of Construction Technology and Management, Vilnius, Lithuania.)

  • Natalija LEPKOVA

    (Vilnius Gediminas Technical University, Civil Engineering Faculty, Department of Construction Economics and Property Management, Vilnius, Lithuania)

Abstract

This article presents a facilities management sector analysis and future forecast for Lithuania. The analysis was made in two stages: in 2003 and 2016. Since 2003, the date of the previous research study on facilities management, many changes have occurred in the economy of Lithuania, due to its accession to the European Union on May 1, 2004. In particular, the facilities management sector changed from a non- tradable to an internationally tradable sector, accompanied by the entrance of firms working at the European Union level. This means that traditional firms would have a price level problem, solved either by assuming the fidelity of existing clients or by lowering the quality of their services. The Ameliorated Nominal Group Technique was applied in this study. In addition to comparisons, a multi-objective optimization method helped to obtain a ranking of effectiveness of the firms offering facilities management. Therefore, the MULTIMOORA method is preferred, given its superiority to other methods. The final ranking of preference for the facilities sector in Lithuania is presented in this article. The future of facilities management in Lithuania is outlined. The main conclusions of the article are based on research conducted.

Suggested Citation

  • Willem Karel M. BRAUERS & Edmundas Kazimieras ZAVADSKAS & Natalija LEPKOVA, 2017. "The Future of Facilities Management in Lithuania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 98-115, March.
    • Handle: RePEc:rjr:romjef:v::y:2017:i:1:p:98-115
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    References listed on IDEAS

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    Cited by:

    1. Abteen Ijadi Maghsoodi & Arta Ijadi Maghsoodi & Amir Mosavi & Timon Rabczuk & Edmundas Kazimieras Zavadskas, 2018. "Renewable Energy Technology Selection Problem Using Integrated H-SWARA-MULTIMOORA Approach," Sustainability, MDPI, vol. 10(12), pages 1-18, November.

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    More about this item

    Keywords

    facilities management; Ameliorated Nominal Group Technique; MULTIMOORA;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • L5 - Industrial Organization - - Regulation and Industrial Policy

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