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

Title:
Promoting consensus in the concept mapping methodology: An application in the hospitality sector
Contributors:
Universitat Politècnica de Catalunya. Departament de Matemàtiques, Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement, Universitat Ramon Llull. Facultat de Turisme i Direcció Hotelera Sant Ignasi, Universitat Ramon Llull. ESADE, Universitat Ramon Llull. La Salle
Source:
Recercat. Dipósit de la Recerca de Catalunya
instname
RECERCAT (Dipòsit de la Recerca de Catalunya)
DAU Arxiu Digital de la Universitat Ramon Llull
Universidad Pontificia Comillas ICAI-ICADE
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Publisher Information:
Elsevier BV, 2015.
Publication Year:
2015
Document Type:
Fachzeitschrift Article
File Description:
application/pdf
Language:
English
ISSN:
0167-8655
DOI:
10.1016/j.patrec.2015.05.013
Rights:
Elsevier TDM
CC BY NC ND
Accession Number:
edsair.doi.dedup.....312d0dc72bcc403b51c76ae4df01e936
Database:
OpenAIRE

Weitere Informationen

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.