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Assessing the performance of tourism supply chains by using the hybrid network data envelopment analysis model

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  • Huang, Chin-wei

Abstract

Although the importance of cooperation and coordination in tourism supply chains has been emphasized in previous research, studies continue to focus purely on the performance of a particular division within a given tourism supply chain. The primary aim of this study was to establish a hybrid network data envelopment analysis (DEA) model for measuring integrated and divisional performance within the supply chain. The main factor distinguishing the DEA model from previous network models is the assumption of input types; variable and semifixed inputs are respectively measured using radial and nonradial assumptions in mathematical plan programming. Another significant difference between the hybrid network DEA model and previous supply chain efficiency models is that the hybrid model contains a measurement defining the overall efficiency of tourism supply chains. To test the proposed model, the performance of the tourism supply chain across 30 regions in China was evaluated. The empirical results provide several practical insights for tourism supply chain management.

Suggested Citation

  • Huang, Chin-wei, 2018. "Assessing the performance of tourism supply chains by using the hybrid network data envelopment analysis model," Tourism Management, Elsevier, vol. 65(C), pages 303-316.
    • Handle: RePEc:eee:touman:v:65:y:2018:i:c:p:303-316
    DOI: 10.1016/j.tourman.2017.10.013
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    as
    1. Fuentes, Ramón, 2011. "Efficiency of travel agencies: A case study of Alicante, Spain," Tourism Management, Elsevier, vol. 32(1), pages 75-87.
    2. Chen, Ci & Yan, Hong, 2011. "Network DEA model for supply chain performance evaluation," European Journal of Operational Research, Elsevier, vol. 213(1), pages 147-155, August.
    3. Yu, Ming-Miin & Lin, Erwin T.J., 2008. "Efficiency and effectiveness in railway performance using a multi-activity network DEA model," Omega, Elsevier, vol. 36(6), pages 1005-1017, December.
    4. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    5. Orfila-Sintes, Francina & Mattsson, Jan, 2009. "Innovation behavior in the hotel industry," Omega, Elsevier, vol. 37(2), pages 380-394, April.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Kao, Chiang & Hwang, Shiuh-Nan, 2008. "Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan," European Journal of Operational Research, Elsevier, vol. 185(1), pages 418-429, February.
    8. Wang, Chun-Hsien & Lu, Yung-Hsiang & Huang, Chin-Wei & Lee, Jun-Yen, 2013. "R&D, productivity, and market value: An empirical study from high-technology firms," Omega, Elsevier, vol. 41(1), pages 143-155.
    9. Kaoru Tone & Miki Tsutsui, 2014. "Slacks-Based Network DEA," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 231-259, Springer.
    10. C-W Huang & C-T Ting & C-H Lin & C-T Lin, 2013. "Measuring non-convex metafrontier efficiency in international tourist hotels," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(2), pages 250-259, February.
    11. Li, Michael Z. F., 2001. "Pricing non-storable perishable goods by using a purchase restriction with an application to airline fare pricing," European Journal of Operational Research, Elsevier, vol. 134(3), pages 631-647, November.
    12. Chiou, Yu-Chiun & Lan, Lawrence W. & Yen, Barbara T.H., 2010. "A joint measurement of efficiency and effectiveness for non-storable commodities: Integrated data envelopment analysis approaches," European Journal of Operational Research, Elsevier, vol. 201(2), pages 477-489, March.
    13. Huang, Chin-wei & Chiu, Yung-ho & Fang, Wei-ta & Shen, Neng, 2014. "Assessing the performance of Taiwan’s environmental protection system with a non-radial network DEA approach," Energy Policy, Elsevier, vol. 74(C), pages 547-556.
    14. Rosalie McLachlan & Colin Clark & Ian Monday, 2002. "Australia's service sector: a study in diversity," Development and Comp Systems 0203002, University Library of Munich, Germany.
    15. Huang, Chin-wei & Ho, Foo Nin & Chiu, Yung-ho, 2014. "Measurement of tourist hotels׳ productive efficiency, occupancy, and catering service effectiveness using a modified two-stage DEA model in Taiwan," Omega, Elsevier, vol. 48(C), pages 49-59.
    16. Xiaolong Guo & Lina He, 2012. "Tourism Supply-Chain Coordination: The Cooperation between Tourism Hotel and Tour Operator," Tourism Economics, , vol. 18(6), pages 1361-1376, December.
    17. Saranga, Haritha & Moser, Roger, 2010. "Performance evaluation of purchasing and supply management using value chain DEA approach," European Journal of Operational Research, Elsevier, vol. 207(1), pages 197-205, November.
    18. Yu, Ming-Miin, 2010. "Assessment of airport performance using the SBM-NDEA model," Omega, Elsevier, vol. 38(6), pages 440-452, December.
    19. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    20. Cook, Wade D. & Zhu, Joe & Bi, Gongbing & Yang, Feng, 2010. "Network DEA: Additive efficiency decomposition," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1122-1129, December.
    21. Gabriela Ţigu & Bogdan Călăreţu, 2013. "Supply Chain Management Performance in Tourism. Continental Hotels Chain Case," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 15(33), pages 103-115, February.
    22. Lawrence M. Seiford & Joe Zhu, 1999. "Profitability and Marketability of the Top 55 U.S. Commercial Banks," Management Science, INFORMS, vol. 45(9), pages 1270-1288, September.
    23. George Assaf, A., 2012. "Benchmarking the Asia Pacific tourism industry: A Bayesian combination of DEA and stochastic frontier," Tourism Management, Elsevier, vol. 33(5), pages 1122-1127.
    24. Tsionas, Efthymios G. & George Assaf, A., 2014. "Short-run and long-run performance of international tourism: Evidence from Bayesian dynamic models," Tourism Management, Elsevier, vol. 42(C), pages 22-36.
    25. Wang, Ke & Huang, Wei & Wu, Jie & Liu, Ying-Nan, 2014. "Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA," Omega, Elsevier, vol. 44(C), pages 5-20.
    26. Xavier Font & Richard Tapper & Karen Schwartz & Marianna Kornilaki, 2008. "Sustainable supply chain management in tourism," Business Strategy and the Environment, Wiley Blackwell, vol. 17(4), pages 260-271, May.
    27. Liu, Wenbin & Zhou, Zhongbao & Ma, Chaoqun & Liu, Debin & Shen, Wanfang, 2015. "Two-stage DEA models with undesirable input-intermediate-outputs," Omega, Elsevier, vol. 56(C), pages 74-87.
    28. Lee, Hwee Khei & Fernando, Yudi, 2015. "The antecedents and outcomes of the medical tourism supply chain," Tourism Management, Elsevier, vol. 46(C), pages 148-157.
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    2. David Fang & Ming‐Ching Hsueh & Ching‐Ren Chiu, 2020. "An investigation of international hotel productivity considering quasifixed inputs and negative outputs," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 380-388, April.
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