nep-tur New Economics Papers
on Tourism Economics
Issue of 2013‒10‒25
two papers chosen by
Laura Vici
Universita' di Bologna

  1. Experiential Tourism in Palestinian Rural Communities : 'Abraham's Path' By Ali H. Abukumail
  2. Market Segmentation using Bagged Fuzzy C–Means (BFCM): Destination Image of Western Europe among Chinese Travellers By Pierpaolo D'Urso; Girish Prayag; Marta Disegna; Riccardo Massari

  1. By: Ali H. Abukumail
    Keywords: Accommodation and Tourism Industry Housing and Human Habitats Poverty Reduction - Rural Poverty Reduction Environment - Tourism and Ecotourism Quality of Life and Leisure Communities and Human Settlements Social Development Industry
    Date: 2013–02
  2. By: Pierpaolo D'Urso (Dipartimento di Scienze Sociali ed Economiche, La Sapienza, Roma, Italy); Girish Prayag (Department of Management, Marketing and Entrepreneurship, University of Canterbury, New Zealand); Marta Disegna (Free University of Bozen-Bolzano, School of Economics and Management, Italy.); Riccardo Massari (Dipartimento di Scienze Sociali ed Economiche, La Sapienza, Roma, Italy)
    Abstract: Market segmentation offers several strategic and tactical advantages to marketers. Hierarchical and non-hierarchical segmentation methods have several weaknesses but remain widely applied in tourism studies. Alternative segmentation methods such as fuzzy, mixture models, and Bagged Clustering are relatively less popular. In this study, we propose a novel method, the Bagged Fuzzy C–Means (BFCM) algorithm, for segmenting tourism markets. A sample of 328 Chinese travellers revealed the existence of four segments (Admirers, Enthusiasts, Moderates, and Apathetics) of perceived images for Western Europe. BFCM is able to identify stable clusters, inheriting this feature from Bagged clustering method. Furthermore, fuzzy allocation allows to idetify travellers whose profiles match with more than one cluster. Destination marketers need to proactively manage the image of Western Europe to attract the increasingly discerning Chinese traveller. Information provision and on-line presence strategies will be critical for destination success.
    Keywords: Bagged Clustering; Fuzzy C–means; Chinese travellers; Tourism market segmentation; Western Europe; Likert–type scales; fuzzy coding.
    JEL: C02 C81 D12 L83
    Date: 2013–10

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