IDEAS home Printed from https://ideas.repec.org/a/eee/jaitra/v71y2018icp9-19.html
   My bibliography  Save this article

A hybrid MCDM and sustainability-balanced scorecard model to establish sustainable performance evaluation for international airports

Author

Listed:
  • Lu, Ming-Tsang
  • Hsu, Chao-Che
  • Liou, James J.H.
  • Lo, Huai-Wei

Abstract

The SBSC (sustainability-balanced scorecard) is adapted for the evaluation of the performance of airports to ensure sustainable development. The approach aims to integrate this performance evaluation of sustainable development, and use qualitative and quantitative information with the sustainability-balanced scorecard. The multiple criterion decision making model was first used to estimate the key influences of international airport performance in relation to sustainability. We first used the DEMATEL (decision-making trial and evaluation laboratory) to establish a complex system illustrated as an influential-network-relationship-map. We next used the DANP (DEMATEL based on analytical network process) to confirm the influential weights. Then, we used a hybrid modified VIKOR to select and improve the performance gaps between the aspiration values and the current situation for the international airport. To demonstrate the proposed model, we applied it to three international airports in Taiwan as a case study. The outcomes indicate that airport image is the most crucial factor within the performance evaluation and that social perspective has the highest degree of net influence. The largest weighted gap when examining the aspiration value is public transport for the A2 airports and transparency of finance for the A1 and A3 airports. The implications for management are discussed.

Suggested Citation

  • Lu, Ming-Tsang & Hsu, Chao-Che & Liou, James J.H. & Lo, Huai-Wei, 2018. "A hybrid MCDM and sustainability-balanced scorecard model to establish sustainable performance evaluation for international airports," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 9-19.
    • Handle: RePEc:eee:jaitra:v:71:y:2018:i:c:p:9-19
    DOI: 10.1016/j.jairtraman.2018.05.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969699718300450
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jairtraman.2018.05.008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Merkert, Rico & Assaf, A. George, 2015. "Using DEA models to jointly estimate service quality perception and profitability – Evidence from international airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 42-50.
    2. Li, Wenhua & Yu, Suihuai & Pei, Huining & Zhao, Chuan & Tian, Baozhen, 2017. "A hybrid approach based on fuzzy AHP and 2-tuple fuzzy linguistic method for evaluation in-flight service quality," Journal of Air Transport Management, Elsevier, vol. 60(C), pages 49-64.
    3. Pandey, Mukesh Mohan, 2016. "Evaluating the service quality of airports in Thailand using fuzzy multi-criteria decision making method," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 241-249.
    4. Liou, James J.H. & Tzeng, Gwo-Hshiung & Chang, Han-Chun, 2007. "Airline safety measurement using a hybrid model," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 243-249.
    5. Olfat, Laya & Amiri, Maghsoud & Bamdad Soufi, Jahanyar & Pishdar, Mahsa, 2016. "A dynamic network efficiency measurement of airports performance considering sustainable development concept: A fuzzy dynamic network-DEA approach," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 272-290.
    6. P. L. Yu, 1973. "A Class of Solutions for Group Decision Problems," Management Science, INFORMS, vol. 19(8), pages 936-946, April.
    7. James J. H. Liou & Ming-Tsang Lu & Shu-Kung Hu & Chia-Hua Cheng & Yen-Ching Chuang, 2017. "A Hybrid MCDM Model for Improving the Electronic Health Record to Better Serve Client Needs," Sustainability, MDPI, vol. 9(10), pages 1-13, October.
    8. Rezaei, Jafar & Hemmes, Alexander & Tavasszy, Lori, 2017. "Multi-criteria decision-making for complex bundling configurations in surface transportation of air freight," Journal of Air Transport Management, Elsevier, vol. 61(C), pages 95-105.
    9. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    10. Liou, James J.H. & Tsai, Chieh-Yuan & Lin, Rong-Ho & Tzeng, Gwo-Hshiung, 2011. "A modified VIKOR multiple-criteria decision method for improving domestic airlines service quality," Journal of Air Transport Management, Elsevier, vol. 17(2), pages 57-61.
    11. Zou, Bo & Kafle, Nabin & Chang, Young-Tae & Park, Kevin, 2015. "US airport financial reform and its implications for airport efficiency: An exploratory investigation," Journal of Air Transport Management, Elsevier, vol. 47(C), pages 66-78.
    12. James J.H. Liou & Jolanta Tamošaitienė & Edmundas K. Zavadskas & Gwo-Hshiung Tzeng, 2016. "New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 114-134, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shu-Kung Hu & James J. H. Liou & Ming-Tsang Lu & Yen-Ching Chuang & Gwo-Hshiung Tzeng, 2018. "Improving NFC Technology Promotion for Creating the Sustainable Education Environment by Using a Hybrid Modified MADM Model," Sustainability, MDPI, vol. 10(5), pages 1-24, April.
    2. Barak, Sasan & Dahooei, Jalil Heidary, 2018. "A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 134-149.
    3. Gudiel Pineda, Pedro Jose & Liou, James J.H. & Hsu, Chao-Che & Chuang, Yen-Ching, 2018. "An integrated MCDM model for improving airline operational and financial performance," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 103-117.
    4. Perçin, Selçuk, 2018. "Evaluating airline service quality using a combined fuzzy decision-making approach," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 48-60.
    5. Kuldeep Kavta & Arkopal K. Goswami, 2021. "A methodological framework for a priori selection of travel demand management package using fuzzy MCDM methods," Transportation, Springer, vol. 48(6), pages 3059-3084, December.
    6. Samanci, Simge & Didem Atalay, Kumru & Bahar Isin, Feride, 2021. "Focusing on the big picture while observing the concerns of both managers and passengers in the post-covid era," Journal of Air Transport Management, Elsevier, vol. 90(C).
    7. Jahangoshai Rezaee, Mustafa & Yousefi, Samuel, 2018. "An intelligent decision making approach for identifying and analyzing airport risks," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 14-27.
    8. Vicent Penadés-Plà & Tatiana García-Segura & José V. Martí & Víctor Yepes, 2016. "A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design," Sustainability, MDPI, vol. 8(12), pages 1-21, December.
    9. Wu, Hung-Yi & Lin, Yi-Kuei & Chang, Chi-Hsiang, 2011. "Performance evaluation of extension education centers in universities based on the balanced scorecard," Evaluation and Program Planning, Elsevier, vol. 34(1), pages 37-50, February.
    10. Gwo-Hshiung Tzeng & Chi-Yo Huang, 2012. "Combined DEMATEL technique with hybrid MCDM methods for creating the aspired intelligent global manufacturing & logistics systems," Annals of Operations Research, Springer, vol. 197(1), pages 159-190, August.
    11. Milad Zamanifar & Seyed Mohammad Seyedhoseyni, 2017. "Recovery planning model for roadways network after natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 699-716, June.
    12. Chen, Lisa Y. & Wang, Tien-Chin, 2009. "Optimizing partners' choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR," International Journal of Production Economics, Elsevier, vol. 120(1), pages 233-242, July.
    13. Jiang, Yonglei & Liao, Feixiong & Xu, Qi & Yang, Zhongzhen, 2019. "Identification of technology spillover among airport alliance from the perspective of efficiency evaluation: The case of China," Transport Policy, Elsevier, vol. 80(C), pages 49-58.
    14. Kuang-Hua Hu & Wei Jianguo & Gwo-Hshiung Tzeng, 2017. "Risk Factor Assessment Improvement for China’s Cloud Computing Auditing Using a New Hybrid MADM Model," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 737-777, May.
    15. Hisham Alidrisi, 2021. "An Innovative Job Evaluation Approach Using the VIKOR Algorithm," JRFM, MDPI, vol. 14(6), pages 1-19, June.
    16. Büsing, Christina & Goetzmann, Kai-Simon & Matuschke, Jannik & Stiller, Sebastian, 2017. "Reference points and approximation algorithms in multicriteria discrete optimization," European Journal of Operational Research, Elsevier, vol. 260(3), pages 829-840.
    17. Serafim Opricovic, 2009. "A Compromise Solution in Water Resources Planning," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(8), pages 1549-1561, June.
    18. Büyüközkan, Gülçin & Ruan, Da, 2008. "Evaluation of software development projects using a fuzzy multi-criteria decision approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(5), pages 464-475.
    19. Hsu, C.-H. & Wang, Fu-Kwun & Tzeng, Gwo-Hshiung, 2012. "The best vendor selection for conducting the recycled material based on a hybrid MCDM model combining DANP with VIKOR," Resources, Conservation & Recycling, Elsevier, vol. 66(C), pages 95-111.
    20. Audrius Čereška & Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Valentinas Podvezko & Ina Tetsman & Irina Grinbergienė, 2016. "Sustainable Assessment of Aerosol Pollution Decrease Applying Multiple Attribute Decision-Making Methods," Sustainability, MDPI, vol. 8(7), pages 1-12, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jaitra:v:71:y:2018:i:c:p:9-19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/journal-of-air-transport-management/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.