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Title Developing a novel Intuitionistic Fuzzy Importance-performance Analysis for evaluating corporate social responsibility in sport tourism event
ID_Doc 68252
Authors Huang, FH; Ye, YJ; Kao, CH
Title Developing a novel Intuitionistic Fuzzy Importance-performance Analysis for evaluating corporate social responsibility in sport tourism event
Year 2015
Published Expert Systems With Applications, 42, 19
DOI 10.1016/j.eswa.2015.04.008
Abstract The purposes of the study were to evaluate corporate social responsibility (CSR) and developing a novel Intuitionistic Fuzzy Importance performance Analysis (IFIPA) for sport tourism event. IFIPA implies intuitionistic fuzzy theory to Importance performance Analysis (IPA) for providing a promising decision-making value when IPA encounters uncertain situations. The results indicated that the proposed IFIPA is more effective and accurate than conventional IPA in two causes. First, the IFIPA can clearly express the real implication under uncertain environment; reversely it is failed from conventional IPA. Second, the IFIPA can provide more credible predictions (membership and non-membership) for decision-makers than the conventional IPA model. Based on the IFIPA, the results indicated that host organization can have the advantages by adopting CSR and promote social concern and sustainable development. The first priority for sport tourism event host organization's concentration were "involving community dwellers as part of this event", "actively donate part of their revenue for public welfare", and "follow environmental regulations". Consequently, the IFIPA successfully offers the promising results than IPA and provides the reference for future sport tourism event analysis and practical suggestions for future sport tourism event organizations. (C) 2015 Elsevier Ltd. All rights reserved.
Author Keywords Intuitionistic Fuzzy Importance-performance Analysis (IFIPA); Corporate social responsibility (CSR); Sport tourism
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000356735100005
WoS Category Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; Operations Research & Management Science
Research Area Computer Science; Engineering; Operations Research & Management Science
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