Promoting consensus in the concept mapping methodology: An application in the hospitality sector

•A new method for improving the concept mapping methodology is presented.•The global index of consensus (GIc) scores the clustering configurations.•GIc is based on qualitative reasoning and it focuses on the experts’ consensus.•A real case application in the Barcelona hospitality industry is present...

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Veröffentlicht in:	Pattern recognition letters Jg. 67; S. 39 - 48
Hauptverfasser:	Fornells, Albert, Rodrigo, Zaida, Rovira, Xari, Sánchez, Mónica, Santomà, Ricard, Teixidó-Navarro, Francesc, Golobardes, Elisabet
Format:	Journal Article Verlag
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2015
Schlagworte:	90 Operations research, mathematical programming 90B Operations research and management science Classificació AMS Concept mapping methodology Consensus measures Excellence in hospitality Investigació operativa Matemàtiques i estadística Operations research Optimització Qualitative reasoning techniques SEPARATION VALIDATION Àrees temàtiques de la UPC Consensus measures Concept mapping methodology Qualitative reasoning techniques Excellence in hospitality
ISSN:	0167-8655, 1872-7344
Online-Zugang:	Volltext
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Abstract	•A new method for improving the concept mapping methodology is presented.•The global index of consensus (GIc) scores the clustering configurations.•GIc is based on qualitative reasoning and it focuses on the experts’ consensus.•A real case application in the Barcelona hospitality industry is presented.•The results show how GIc outperforms some of the most well-known quantitative indexes. [Display omitted] The concept mapping methodology aims to respond to the non trivial task of conceptualising abstract thoughts by means of a focus group composed by experts from the studied domain. The approach defines a set of general steps that allow experts to lead the generation of ideas, group the ideas in a conceptual map of interrelated concepts using clustering multidimensional scaling and clustering techniques, analysing the quality of the conceptual maps and deciding on a final interpretation. In this sense, this final decision is not trivial because clustering techniques provide a set of potentially conceptual maps so experts must select the one that fits best according to their opinion. For this reason, we present the global index of consensus as an indicator for filtering the most suitable clustering solutions using qualitative reasoning. It promotes the consensus of experts opinions and ensures objectivity in the final interpretation. The index outperforms three of the most well-known clustering validation indexes in a case study focused on the meaning of excellence in the hospitality industry. This work presents the global index of consensus as an indicator for filtering the most suitable clustering solutions using qualitative reasoning that promotes the consensus of experts’ opinions, which is one of the key aspects in the concept mapping methodology. The index outperforms three of the most well-known clustering validation indexes in a case study focused on the meaning of excellence in hospitality.
AbstractList	•A new method for improving the concept mapping methodology is presented.•The global index of consensus (GIc) scores the clustering configurations.•GIc is based on qualitative reasoning and it focuses on the experts’ consensus.•A real case application in the Barcelona hospitality industry is presented.•The results show how GIc outperforms some of the most well-known quantitative indexes. [Display omitted] The concept mapping methodology aims to respond to the non trivial task of conceptualising abstract thoughts by means of a focus group composed by experts from the studied domain. The approach defines a set of general steps that allow experts to lead the generation of ideas, group the ideas in a conceptual map of interrelated concepts using clustering multidimensional scaling and clustering techniques, analysing the quality of the conceptual maps and deciding on a final interpretation. In this sense, this final decision is not trivial because clustering techniques provide a set of potentially conceptual maps so experts must select the one that fits best according to their opinion. For this reason, we present the global index of consensus as an indicator for filtering the most suitable clustering solutions using qualitative reasoning. It promotes the consensus of experts opinions and ensures objectivity in the final interpretation. The index outperforms three of the most well-known clustering validation indexes in a case study focused on the meaning of excellence in the hospitality industry. This work presents the global index of consensus as an indicator for filtering the most suitable clustering solutions using qualitative reasoning that promotes the consensus of experts’ opinions, which is one of the key aspects in the concept mapping methodology. The index outperforms three of the most well-known clustering validation indexes in a case study focused on the meaning of excellence in hospitality. The concept mapping methodology aims to respond to the non trivial task of conceptualising abstract thoughts by means of a focus group composed by experts from the studied domain. The approach defines a set of general steps that allow experts to lead the generation of ideas, group the ideas in a conceptual map of interrelated concepts using clustering multidimensional scaling and clustering techniques, analysing the quality of the conceptual maps and deciding on a final interpretation. In this sense, this final decision is not trivial because clustering techniques provide a set of potentially conceptual maps so experts must select the one that fits best according to their opinion. For this reason, we present the global index of consensus as an indicator for filtering the most suitable clustering solutions using qualitative reasoning. It promotes the consensus of experts opinions and ensures objectivity in the final interpretation. The index outperforms three of the most well-known clustering validation indexes in a case study focused on the meaning of excellence in the hospitality industry.; This work presents the global index of consensus as an indicator for filtering the most suitable clustering solutions using qualitative reasoning that promotes the consensus of experts' opinions, which is one of the key aspects in the concept mapping methodology. The index outperforms three of the most well-known clustering validation indexes in a case study focused on the meaning of excellence in hospitality. (C) 2015 Elsevier B.V. All rights reserved. Peer Reviewed
Author	Fornells, Albert Teixidó-Navarro, Francesc Rovira, Xari Rodrigo, Zaida Sánchez, Mónica Golobardes, Elisabet Santomà, Ricard
Author_xml	– sequence: 1 givenname: Albert orcidid: 0000-0003-4214-5227 surname: Fornells fullname: Fornells, Albert email: albert.fornells@tsi.url.edu organization: Research Group in Hospitality, Tourism and Mobilities, School of Tourism and Hospitality Management Sant Ignasi, Universitat Ramon Llull. Av. Marquès de Mulhacén 40–42, Barcelona 08034, Spain – sequence: 2 givenname: Zaida orcidid: 0000-0002-2280-5024 surname: Rodrigo fullname: Rodrigo, Zaida organization: Research Group in Hospitality, Tourism and Mobilities, School of Tourism and Hospitality Management Sant Ignasi, Universitat Ramon Llull. Av. Marquès de Mulhacén 40–42, Barcelona 08034, Spain – sequence: 3 givenname: Xari surname: Rovira fullname: Rovira, Xari organization: ESADE Business School, Universitat Ramon Llull. Av. Pedralbes 62, Barcelona 08034, Spain – sequence: 4 givenname: Mónica surname: Sánchez fullname: Sánchez, Mónica organization: Universitat Politècnica de Catalunya. UPC-Barcelona Tech., Jordi Girona, 1–3, Barcelona 08034, Spain – sequence: 5 givenname: Ricard surname: Santomà fullname: Santomà, Ricard organization: Research Group in Hospitality, Tourism and Mobilities, School of Tourism and Hospitality Management Sant Ignasi, Universitat Ramon Llull. Av. Marquès de Mulhacén 40–42, Barcelona 08034, Spain – sequence: 6 givenname: Francesc orcidid: 0000-0003-0508-1711 surname: Teixidó-Navarro fullname: Teixidó-Navarro, Francesc organization: Research Group in Hospitality, Tourism and Mobilities, School of Tourism and Hospitality Management Sant Ignasi, Universitat Ramon Llull. Av. Marquès de Mulhacén 40–42, Barcelona 08034, Spain – sequence: 7 givenname: Elisabet surname: Golobardes fullname: Golobardes, Elisabet organization: GR-SETAD, La Salle, Universitat Ramon Llull. Av. Quatre Camins 30, Barcelona 08022, Spain
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Snippet	•A new method for improving the concept mapping methodology is presented.•The global index of consensus (GIc) scores the clustering configurations.•GIc is... The concept mapping methodology aims to respond to the non trivial task of conceptualising abstract thoughts by means of a focus group composed by experts from...
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SubjectTerms	90 Operations research, mathematical programming 90B Operations research and management science Classificació AMS Concept mapping methodology Consensus measures Excellence in hospitality Investigació operativa Matemàtiques i estadística Operations research Optimització Qualitative reasoning techniques SEPARATION VALIDATION Àrees temàtiques de la UPC
Title	Promoting consensus in the concept mapping methodology: An application in the hospitality sector
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