Using FQFD to analyze island accommodation management in fuzzy linguistic preferences

Lin, Ling-Zhong; Chen, Wen-Chiang; Chang, Tsun-Jin

doi:10.1016/j.eswa.2010.12.135

Cited by 25 publications

(11 citation statements)

References 27 publications

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“…Kasim et al (2014) suggested an innovative 4Rs (innovative reducing, innovative reusing, innovative reaching and innovative recycling) approach to a hotel's water management. Lin et al (2011) proposed an approach for external and internal management innovations. Shaw et al (2011) focused on the customer value chain, which they believe to be the most dynamic area of innovation.…”

Section: Firm Levelmentioning

confidence: 99%

A systematic review of research on innovation in hospitality and tourism

Gomezelj

2016

IJCHM

373

309

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Purpose The purpose of this paper is to identify the state of academic research on innovation in tourism. The authors present a systematic review of the literature, different research approaches and perspectives on tourism innovation; offer a synthesis of our findings and provide a discussion and proposals for future research. Design/methodology/approach Existing studies on innovation in hospitality and tourism (included in the Web of Knowledge database) were reviewed, and their limitations were identified. A procedure used in previous studies (Crossan and Apaydin, 2010; Tranfield et al., 2003; Becheikh et al., 2006) was applied. Moreover, aiming to reveal theoretical foundations of tourism innovation research and identify their structure, a bibliometric analysis was performed. Findings This paper identifies 152 published papers that represent the major efforts in expanding the body of research on innovation in hospitality and tourism. The importance of innovation for business and regional competitiveness and success has been recognised by both researchers and practitioners. In the papers included in the sample of this paper, the authors identified a general consensus that much remains to be done in the development of the theory of innovation in tourism. Through bibliometric analysis, nine co-citation networks, or clusters, were retrieved by applying co-citation relations among the most cited authors. The examination of these nine clusters revealed some dominant themes that characterise the field. Research limitations/implications The authors used three databases: Science Citation Index Expanded, Social Sciences Citation Index (SSCI) and Arts & Humanities Citation Index. While these databases may not include all relevant research, the authors, nonetheless, believe that by using a rigorous procedure in reviewing the literature systematically, they were able to reduce the probability of neglecting any information that would critically change the content of the present paper. Practical implications The aim of this paper was to bring together the prior research with presently existing models that may be used in further research. For the continuation of the research, the authors propose additional studies with the aim of theory development. By introducing new theoretical ideas and theoretical models, more qualitative and inductive research would help to stimulate further work. As stated above, researchers could go further by undertaking quantitative methods to empirically verify the theoretically proposed models. Originality/value Since the last review (Hjalager, 2010) of past studies in tourism innovation, mostly focusing on studies up to 2009, tourism innovation research has grown noticeably in terms of diverse topics. In this paper’s database, the year with the most publications was 2012 with 48 papers, followed by 2014 with 42 (by 19 September), 2010 and 2011 with 41 and 2009 with 29. To the authors’ knowledge, no updated reviews focusing on innovation in tourism have been published recently. This study, consisting of a systematic review of academic literature, includes analyses of the international context, the methodology used, the points of view, the level of analysis (micro-level, macro-level and general level) and the type of innovation discussed in the paper. Moreover, the authors did not find any studies that used bibliometric analysis to identify the structure of the theoretical foundation of research in the area of innovation in tourism.

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Section: Firm Levelmentioning

confidence: 99%

A systematic review of research on innovation in hospitality and tourism

Gomezelj

2016

IJCHM

373

309

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“…One way to overcome these drawbacks is to transform Likert variables into fuzzy numbers [16,23]. In the tourism field there are relevant applications of this type of transformation [see, e.g., [20][21][22][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Bagged fuzzy clustering for fuzzy data: An application to a tourism market

D’Urso

Disegna

Massari

et al. 2015

Knowledge-Based Systems

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Segmentation has several strategic and tactical implications in marketing products and services. Despite hard clustering methods having several weaknesses, they remain widely applied in marketing studies. Alternative segmentation methods such as fuzzy methods are rarely used to understand consumer behaviour. In this study, we propose a strategy of analysis, by combining the Bagged Clustering (BC) method and the fuzzy C-means clustering method for fuzzy data (FCM-FD), i.e., the Bagged fuzzy C-means clustering method for fuzzy data (BFCM-FD). The method inherits the advantages of stability and reproducibility from BC and the flexibility from FCM-FD. The method is applied on a sample of 328 Chinese consumers revealing the existence of four segments (Admirers, Enthusiasts, Moderates, and Apathetics) of the perceived images of Western Europe as a tourist destination. The results highlight the heterogeneity in Chinese consumers' place preferences and implications for place marketing are offered.

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“…The fuzzy number construction approach proposed by Cheng (1991) has been adopted by Wu et al (2010) to identify the sustainable indicators that characterize and distinguish urban ecotourism concept from urban tourism and ecotourism concepts. The Fuzzy Quality Function Deployment method, applied on triangular fuzzy numbers, has been implemented by Lin et al (2011) to evaluate the performance of tourists' services offered by hospitality firms. Chiang (2011) combined the fuzzy C−means clustering method with a decision tree algorithm to segment the air transport passenger market and to create fuzzy decision rules.…”

Section: Applications Of Fuzzy Theory In Tourismmentioning

confidence: 99%

Satisfaction and Tourism Expenditure Behaviour

2020

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In the literature, the quantification of the effect of satisfaction on tourists' expenditure behaviour has not been extensively studied. This research aims to fill in this gap, providing additional information about this crucial relation by analysing it from a microdata perspective. In particular, the Fuzzy Double-Hurdle model, a new model which combines the well-known Double-Hurdle model and the fuzzy set theory, is suggested and presented, both technically and by means of a real case study. The proposed model gathers the advantages of the Double-Hurdle model and the fuzzy set theory together producing a suitable model for the analysis of censored observations in presence of imprecise data. Specifically, the Double-Hurdle model allows to efficiently estimate the average values of a non-negative, non-normally distributed variable characterised by high frequency of zero values, as tourists' expenditure can be, considering the two-stages nature of the decision process. On the other end, the inclusion of the fuzzy set theory in the regression model allows to cope with the imprecision of both collected information (i.e. levels of satisfaction) and kind of measurement used (i.e. Liker-type scale). The results will help tourism managers to more accurately evaluate the efficacy of their policies Pierpaolo D'Urso, Corresponding author

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Using FQFD to analyze island accommodation management in fuzzy linguistic preferences

Cited by 25 publications

References 27 publications

A systematic review of research on innovation in hospitality and tourism

A systematic review of research on innovation in hospitality and tourism

Bagged fuzzy clustering for fuzzy data: An application to a tourism market

Satisfaction and Tourism Expenditure Behaviour

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