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Multicriteria Approach towards the Sustainable Selection of a Teahouse Location with Sensitivity Analysis

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  • Ji Chen

    (College of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Jinsheng Wang

    (School of Business, Zhejiang Wanli University, Ningbo 315211, China)

  • Tomas Baležentis

    (Faculty of Economics and Business Administration, Vilnius University, LT-10222 Vilnius, Lithuania)

  • Fausta Zagurskaitė

    (Faculty of Economics and Business Administration, Vilnius University, LT-10222 Vilnius, Lithuania)

  • Dalia Streimikiene

    (Lithuanian Institute of Agrarian Economics, LT-03105 Vilnius, Lithuania)

  • Daiva Makutėnienė

    (Faculty of Economics and Management, Aleksandras Stulginskis University, LT-53361 Akademija, Lithuania)

Abstract

The teahouse market has seen an expansion across various countries. In order to identify the most reasonable paths for development, the choice of location for the outlets needs to account for a number of conflicting criteria. Therefore, the multicriteria approach is required to effectively handle the location selection problem. In this paper, we develop a multicriteria framework for teahouse selection and apply it in the context of Lithuania. The indicator system is set up in order to capture the different aspects of the candidate locations. We also apply two multicriteria decision-making techniques (the evaluation based on distance from average solution (EDAS) method and the weighted aggregated sum product assessment with normalization (WASPAS-N) method) in order to ensure the robustness of the results. The weights of criteria were determined based on the expert survey. In addition, a Monte Carlo simulation was applied to check the sensitivity in changes of the criterion weights. The empirical application demonstrated validity of the proposed approach in choosing the optimal location of a teahouse.

Suggested Citation

  • Ji Chen & Jinsheng Wang & Tomas Baležentis & Fausta Zagurskaitė & Dalia Streimikiene & Daiva Makutėnienė, 2018. "Multicriteria Approach towards the Sustainable Selection of a Teahouse Location with Sensitivity Analysis," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2926-:d:164267
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    References listed on IDEAS

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    Cited by:

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    4. Paweł Ziemba, 2020. "Multi-Criteria Stochastic Selection of Electric Vehicles for the Sustainable Development of Local Government and State Administration Units in Poland," Energies, MDPI, vol. 13(23), pages 1-19, November.
    5. Masood Fathi & Amir Nourmohammadi & Morteza Ghobakhloo & Milad Yousefi, 2020. "Production Sustainability via Supermarket Location Optimization in Assembly Lines," Sustainability, MDPI, vol. 12(11), pages 1-15, June.
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    7. Ceren Erdin & Halil Emre Akbaş, 2019. "A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey," Sustainability, MDPI, vol. 11(14), pages 1-22, July.

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