IDEAS home Printed from https://ideas.repec.org/a/spr/opsear/v59y2022i3d10.1007_s12597-022-00583-3.html
   My bibliography  Save this article

An integrated IRN-SWARA-MABAC-based approach for evaluation of tourism websites of the Indian states

Author

Listed:
  • Sayantan Ghosh

    (Jadavpur University)

  • Santonab Chakraborty

    (Maulana Abul Kalam Azad University of Technology)

  • Shankar Chakraborty

    (Jadavpur University)

Abstract

With the rapid advancement of information and communication technologies, websites have become the pivotal instruments to the tourists to search or explore information for a particular destination and accordingly schedule or plan their tours. The increasing roles of these websites in distributing value-added and timely information highlight the requirements to investigate how the tourists interact with those websites and what should be the desired features in a good tourism website. Hence, there is a constant demand that the tourism providers must ensure the efficiency, integrity and appropriateness of the tourism websites through a proper evaluation procedure. To fulfill this objective, this paper proposes an integrated approach for assessment of the tourism websites of the Indian states. The input-oriented Charnes, Cooper and Rhodes (CCR) model of data envelopment analysis is first adopted to screen out the inefficient Indian states based on their efficiency scores. The weights of the evaluation criteria are subsequently determined using interval rough number (IRN)-based step-wise weight assessment ratio analysis (SWARA) method. Finally, the shortlisted tourism websites of the Indian states are ranked applying IRN-multi-attributive border approximation area comparison (MABAC) method. Himachal Pradesh and Odisha have the two best tourism websites, while the websites of Maharashtra and Arunachal Pradesh are under-designed. The well-designed tourism websites may now act as the benchmarks to those Indian states to improve the drawbacks of their under-designed websites.

Suggested Citation

  • Sayantan Ghosh & Santonab Chakraborty & Shankar Chakraborty, 2022. "An integrated IRN-SWARA-MABAC-based approach for evaluation of tourism websites of the Indian states," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 974-1017, September.
    • Handle: RePEc:spr:opsear:v:59:y:2022:i:3:d:10.1007_s12597-022-00583-3
    DOI: 10.1007/s12597-022-00583-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12597-022-00583-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12597-022-00583-3?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. Law, Rob & Qi, Shanshan & Buhalis, Dimitrios, 2010. "Progress in tourism management: A review of website evaluation in tourism research," Tourism Management, Elsevier, vol. 31(3), pages 297-313.
    2. 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.
    3. repec:jtr:journl:v:2:y:2011:i:1:p:58-73 is not listed on IDEAS
    4. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
    5. Tonghui Lian & Caihua Yu & Zhongqun Wang & Zhiping Hou, 2017. "The evaluation study on tourism websites: from the perspective of triangular intuitionistic fuzzy multiple attribute group decision making," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(16), pages 2877-2889, December.
    6. Bastida, Unai & Huan, T.C., 2014. "Performance evaluation of tourism websites' information quality of four global destination brands: Beijing, Hong Kong, Shanghai, and Taipei," Journal of Business Research, Elsevier, vol. 67(2), pages 167-170.
    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. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, April.
    2. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    3. Murinde, Victor & Zhao, Tianshu, 2009. "Bank competition, risk taking and productive efficiency: Evidence from Nigeria's banking reform experiments," Stirling Economics Discussion Papers 2009-23, University of Stirling, Division of Economics.
    4. Soteriou, Andreas C. & Zenios, Stavros A., 1999. "Using data envelopment analysis for costing bank products," European Journal of Operational Research, Elsevier, vol. 114(2), pages 234-248, April.
    5. Avkiran, Necmi K., 2001. "Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 35(1), pages 57-80, March.
    6. Sengupta, Atanu & Kundu, Subrata, 2006. "Scale Efficiency of Indian Farmers: A Non- Parametric Approach," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 61(4), pages 1-11.
    7. Ruiz, Jose L. & Sirvent, Inmaculada, 2001. "Techniques for the assessment of influence in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 390-399, July.
    8. Zijiang Yang & Xiaogang Wang & Dongming Sun, 2010. "Using the bootstrap method to detect influential DMUs in data envelopment analysis," Annals of Operations Research, Springer, vol. 173(1), pages 89-103, January.
    9. Fogarasi, Jozsef & Latruffe, Laure, 2009. "Farm performance and support in Central and Western Europe: a comparison of Hungary and France," 83rd Annual Conference, March 30 - April 1, 2009, Dublin, Ireland 51053, Agricultural Economics Society.
    10. Peyrache, Antonio & Rose, Christiern & Sicilia, Gabriela, 2020. "Variable selection in Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 282(2), pages 644-659.
    11. Maruyama, Eduardo & Schollard, Phoebe, 2021. "Geographic prioritization of agricultural investments: Prioritization of agricultural and nutrition investments," 2021 Conference, August 17-31, 2021, Virtual 315292, International Association of Agricultural Economists.
    12. Zanakis, Stelios H. & Mandakovic, Tomislav & Gupta, Sushil K. & Sahay, Sundeep & Hong, Sungwan, 1995. "A review of program evaluation and fund allocation methods within the service and government sectors," Socio-Economic Planning Sciences, Elsevier, vol. 29(1), pages 59-79, March.
    13. Afsharian, Mohsen & Ahn, Heinz & Harms, Sören Guntram, 2019. "Performance comparison of management groups under centralised management," European Journal of Operational Research, Elsevier, vol. 278(3), pages 845-854.
    14. Miki Tsutsui & Kaoru Tone, 2007. "Separation of uncontrollable factors and time shift effects from DEA scores," GRIPS Discussion Papers 07-09, National Graduate Institute for Policy Studies.
    15. Valentina Bosetti & Mariaester Cassinelli & Alessandro Lanza, 2006. "Benchmarking in Tourism Destination, Keeping in Mind the Sustainable Paradigm," Working Papers 2006.12, Fondazione Eni Enrico Mattei.
    16. Nattanin Ueasin & Anupong Wongchai & Sakkarin Nonthapot, 2015. "Performance Assessment and Optimization of Biomass Steam Turbine Power Plants by Data Envelopment Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 668-672.
    17. Joaquín Maudos Villarroya & José Manuel Pastor Monsálvez & Lorenzo Serrano Martínez, 1998. "- Eficiency And Productivity Specialization: The Spanish Regions," Working Papers. Serie EC 1998-26, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    18. Glover, Fred & Sueyoshi, Toshiyuki, 2009. "Contributions of Professor William W. Cooper in Operations Research and Management Science," European Journal of Operational Research, Elsevier, vol. 197(1), pages 1-16, August.
    19. Ali, Agha Iqbal & Lerme, Catherine S. & Seiford, Lawrence M., 1995. "Components of efficiency evaluation in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 80(3), pages 462-473, February.
    20. Vittadini, Giorgio & Sturaro, Caterina & Folloni, Giuseppe, 2022. "Non-Cognitive Skills and Cognitive Skills to measure school efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).

    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:spr:opsear:v:59:y:2022:i:3:d:10.1007_s12597-022-00583-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.