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Multi-Criteria Decision-Making in the Tourism Domain: The Past, Present and Future of the Research Field


Affiliations
1 University of Kragujevac, Faculty of Technical Sciences Čačak, Serbia
2 University of Kragujevac, Faculty of Hotel Management and Tourism, Vrnjačka Banja, Serbia
 

The key objective of this paper is to provide a comprehensive overview of the application of Multi-Criteria Decision-Making (MCDM) methods in papers published in prominent journals within the WoS database related to tourism. Based on the 252 papers which met the search criteria, this study determined the most commonly used MCDM methods as well as the reasons for their application. The study also identified the authors who employed the methods in their papers and whether or not the papers are team-oriented. The time frame within which the papers were published, along with the publishing trends within the specific period and finally, a model intended for predicting the developing trends within this research area was developed. Finally, the application of social network analysis gave an insight into the intellectual structure of the subject discipline and pointed to the most influential papers that were the subject of the content analysis.

Keywords

ANN, Bibliometric Analysis, Content Analysis, DEA, Prediction, Social Network Analysis.
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  • Kim C S, Bai B H, Kim P B & Chon K, Review of reviews: A systematic analysis of review papers in the hospitality and tourism literature, Int J Hosp Manag, 70 (2018) 49–58, https://doi.org/10.1016/j.ijhm.2017.10.023.

  • Koseoglu M A, Rohimi R, Okumus F & Liu J, Bibliometric studies in tourism, Ann Tour Res, 61 (2016) 180–198, https://doi.org/10.1016/j.annals.2016.10.006.

  • Chauhan A & Vaish R, Magnetic material selection using multiple attribute decision making approach, Mater Des (1980-2015), 36 (2012) 1–5, https://doi.org/10.1016/j.matdes.2011.11.021.

  • Zavadskas E K, Turskis Z & Kildienė S, State of art surveys of overviews on MCDM/MADM methods, Technol Econ Dev Econ, 20(1) (2014) 165–179, https://doi.org/10.3846/20294913.2014.892037.

  • Mardani A, Jusoh A, Nor K M, Khalifah Z, Zakwan N & Valipour A, Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014, ECON RES-EKON ISTRAZ, 28(1) (2015) 516–571, https://doi.org/10.1080/1331677X.2015.1075139.

  • Köksalan M M, Wallenius J & Zionts S, Multiple Criteria Decision Making: From Early History to the 21st Century (Singapore: World Scientific) 2011.

  • Garabinović D, Papić M & Kostić M, Multi-criteria decision making trends in ecotourism and sustainable tourism, Econ Agric, 68(2) (2021) 321–340, https://doi.org/10.5937/ekoPolj2102321G.

  • Kim H & So K K F, Two decades of customer experience research in hospitality and tourism: A bibliometric analysis and thematic content analysis, Int J Hosp Manag, 100 (2022) 103082 https:// doi.org/10.1016/j.ijhm.2021.103082.

  • Mody M A, HanksL & Cheng M, Sharing economy research in hospitality and tourism: a critical review using bibliometric analysis, content analysis and a quantitative systematic literature review, Int J Contemp Hosp, 33(5) (2021) 1711–1745, https://doi.org/10.1108/IJCHM-12-2020-1457.

  • Cheng M, Edwards D, Darcy S & Redfern K, A tri-method approach to a review of adventure tourism literature: Bibliometric analysis, content analysis, and a quantitative systematic literature review, J Hosp Tour Res, 42(6) (2018) 997–1020, https://doi.org/10.1177/1096348016640588.

  • Dimitrovski D, Leković M & Joukes V, A bibliometric analysis of Crossref agritourism literature indexed in Web of Science, Hotel and Tourism Management, 7(2) (2019) 25–37, https://doi.org/10.5937/menhottur1902025D.

  • Ülker P, Ülker M & Karamustafa K, Bibliometric analysis of bibliometric studies in the field of tourism and hospitality, J Hosp Tour, 6(2) (2022) 797–818, https://doi.org/10.1108/jhti-10-2021-0291.

  • Cobo M J, López‐Herrera A G, Herrera‐Viedma E & Herrera F, Science mapping software tools: Review, analysis, and cooperative study among tools, J Am Soc Inf Sci, 62(7) (2011) 1382–1402, https://doi.org/10.1002/asi.21525.

  • Dimitrovski D, Leković M & Đurađević M, The performativity of the tourism specialism knowledge network: sporting event economic impact assessment, Curr Issues Tour, 25(14) (2022) 2303–2321, https://doi.org/10.1080/13683500.2021.1957788.

  • Casanueva C, Galleg A & Garcia-Sanchez M R, Social network analysis in tourism, Curr Issues Tour, 19(12) (2016) 1190–1209, https://doi.org/10.1080/13683500.2014.990422.

  • Tran M T, Jeeva A S & Pourabedin Z, Social network analysis in tourism services distribution channels, Tour Manag Perspect, 18 (2016) 59–67, https://doi.org/10.1016/j.tmp.2016.01.003.

  • Valeri M & Baggio R, Italian tourism intermediaries: A social network analysis exploration, Curr Issues Tour, 24(9) (2021) 1270–1283, https://doi.org/10.1080/13683500.2020.1777950.

  • Chung M G, Herzberger A, Frank K A & Liu J, International tourism dynamics in a globalized world: A social network analysis approach, J Travel Res, 59(3) (2020) 387–403, https://doi.org/10.1177/0047287519844834.

  • Wang N, Liang H, Jia Y, Ge S, Xue Y & Wang Z, Cloud computing research in the IS discipline: A citation/co-citation analysis, Decis Support Syst, 86 (2016) 35–47, https://doi.org/10.1016/j.dss.2016.03.006.

  • Borgatti S P, Everett M G & Johnson J C, Analyzing Social Networks (Sage Publications) 2013.

  • Stepchenkova S, Kirilenko AP & Morrison AM, Facilitating content analysis in tourism research, J Travel Res, 47(4) (2009) 454–469, https://doi.org/10.1177/0047287508326509.

  • Weber R P, Measurement models of content analysis, Qual Quant, 17 (1983) 127–49.

  • Blagojević M, Blagojević M & Ličina V, Web-based intelligent system for predicting apricot yields using artificial neural networks, Sci Hortic, 213 (2016) 125–131, https://doi.org/10.1016/j.scienta.2016.10.032.

  • Blagojević M, Micić Ž & Papić M, Analysis of knowledge sources in standardized environment-related fields using original software application, Environ Eng Manag J, 19(5) (2020) 891–898.

  • Jovanović Ž, Blagojević M, Janković D & Peulić A, Patient comfort level prediction during transport using artificial neural network, Turk J Electr Eng, 27(4) (2019) 2817–2832, 10.3906/elk-1807-258.

  • Stanković N, Blagojević M, Papić M & Karuović D, Artificial neural network model for prediction of students’ success in learning programming, J Sci Ind Res, 80(3) (2020) 249–254, https://doi.org/10.3389/feduc.2023.1106679.

  • Emrouznejad A & Yang G, A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016, Socio-Econ Plan, 61 (2018) 4–8, https://doi.org/10.1016/j.seps.2017.01.008.

  • Ashrafi A, Seow H V, Lee L S & Lee C G, The efficiency of the hotel industry in Singapore, Tour Manag, 37 (2013) 31–34 https://doi.org/10.1016/j.tourman.2012.12.003.

  • Van der Zee E & Bertocchi D, Finding patterns in urban tourist behaviour: a social network analysis approach based on Trip Advisor reviews, Inf Technol Tour, 20(1–4) (2018) 153–180, https://doi.org/10.1007/s40558-018-0128-5.

  • Zou T, Meng F, Li H, Zhang P & Ren Y, Research note: assessment index of international tourism hubs, Tour, 22(2) (2016) 324–330, https://doi.org/10.5367/te.2016.0552.

  • Meng F, Zou T, Li H, Ren Y & Zhang P, International tourism hub: Function assessment and application, Tour, 22(6) (2016) 1225–1244, https://doi.org/10.1177/1354816616670504.

  • Ma M Z, Fan H M & Zhang E Y, Cruise homeport location selection evaluation based on grey-cloud clustering model, Curr Issues Tour, 21(3) (2018) 328–354, https://doi.org/10.1080/13683500.2015.1083951.

  • Wang Y, Jung K A, Yeo G T & Chou C C, Selecting a cruise port of call location using the fuzzy-AHP method: A case study in East Asia, Tour Manag, 42 (2014) 262–270, https://doi.org/10.1016/j.tourman.2013.11.005.

  • Hajizadeh F, Poshidehro M & Yousefi E, Scenario-based capability evaluation of ecotourism development–an integrated approach based on WLC, and FUZZY–OWA methods, Asia Pac J Tour Res, 25(6) (2020) 637–650, https://doi.org/10.1080/10941665.2020.1752752.

  • Malik M I & Bhat M S, Sustainability of tourism development in Kashmir – Is paradise lost?, Tour Manag Perspect, 16 (2015) 11–21, https://doi.org/10.1016/j.tmp.2015.05.006.

  • Hwang S N & Chang T Y, Using data envelopment analysis to measure hotel managerial efficiency change in Taiwan, Tour Manag, 24(4) (2003) 357–369, https://doi.org/10.1016/S0261-5177(02)00112-7.

  • Benito B, Solana J & López P, Determinants of Spanish regions' tourism performance: A two-stage, double-bootstrap data envelopment analysis, Tour, 20(5) (2014) 987–1012, https://doi.org/10.5367/te.2013.0327.

  • Barros C P, Measuring efficiency in the hotel sector, Ann Tour Res, 32(2) (2005) 456–477, https://doi.org/10.1016/j.annals.2004.07.011.

  • Draper C, Reichle R, Jeu R, Naemi V, Parinussa R & Wagner W, Estimating root mean square errors in remotely sensed soil moisture over continental scale domains, Remote Sens Environ, 137 (2013) 288–298, https://doi.org/10.1016/j.rse.2013.06.013.

  • Choi K, Kang H J & Kim C, Evaluating the efficiency of Korean festival tourism and its determinants on efficiency change: Parametric and non-parametric approaches, Tour Manag, 86 (2021) 104348, https://doi.org/10.1016/j.tourman.2021.104348.


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  • Multi-Criteria Decision-Making in the Tourism Domain: The Past, Present and Future of the Research Field

Abstract Views: 78  |  PDF Views: 58

Authors

Miloš Papić
University of Kragujevac, Faculty of Technical Sciences Čačak, Serbia
Dušan Garabinović
University of Kragujevac, Faculty of Hotel Management and Tourism, Vrnjačka Banja, Serbia
Marija Blagojević
University of Kragujevac, Faculty of Technical Sciences Čačak, Serbia
Miljan Leković
University of Kragujevac, Faculty of Hotel Management and Tourism, Vrnjačka Banja, Serbia
Marija Kostić
University of Kragujevac, Faculty of Hotel Management and Tourism, Vrnjačka Banja, Serbia
Darko Dimitrovski
University of Kragujevac, Faculty of Hotel Management and Tourism, Vrnjačka Banja, Serbia

Abstract


The key objective of this paper is to provide a comprehensive overview of the application of Multi-Criteria Decision-Making (MCDM) methods in papers published in prominent journals within the WoS database related to tourism. Based on the 252 papers which met the search criteria, this study determined the most commonly used MCDM methods as well as the reasons for their application. The study also identified the authors who employed the methods in their papers and whether or not the papers are team-oriented. The time frame within which the papers were published, along with the publishing trends within the specific period and finally, a model intended for predicting the developing trends within this research area was developed. Finally, the application of social network analysis gave an insight into the intellectual structure of the subject discipline and pointed to the most influential papers that were the subject of the content analysis.

Keywords


ANN, Bibliometric Analysis, Content Analysis, DEA, Prediction, Social Network Analysis.

References