A Feature-Based Approach to Market Segmentation Via Overlapping K-Centroids Clustering

Chaturvedi, Anil; Carroll, J. Douglas; Green, Paul E.; Rotondo, John A.

doi:10.2307/3151899

Cited by 70 publications

(40 citation statements)

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“…A respondent can belong to several clusters without negatively impacting on the managerial usefulness. Conceptually, one consumer's higher statistical probability to belong to one segment does not necessarily mean that s/he only belongs to this segment [13]. For example, a tourist may well desire more than one attribute or benefit from a destination and hence can belong to multiple groups [14].…”

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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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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“…We should stress that the purf)ose here is not to focus on the "descriptive content" of the segmentation literature Sarabia, 19%;Dalgic and Leeuw, 1994;Danneels, 1996;Hammond, Ehrenberg and Goodhardt, 1996;Dibb andStern, 1995 Jedidi, Kohli andDesarbo, 1996;Cohen and Ramaswamy, 1998;Bayus and Mehta, 1995;Ramaswamy, Chattcrjec and Cohen, 1996;Walker and Damicn, 1999;Ramaswamy, Chatterjcc and Cohen, 1999;Kamakura and Wedcl, 1995;Kamakura and Mazzon, 1991;Desarbo, Ramaswamy and Chatterjee, 1995;Hagerty, 1993;Vriens. Wedel and Wilms, 1996;Krieger and Green, 1996;Allenby, Arora and Ginter, 1998;Chaturvedi, Carroll, Green and Rotondo, 1997;Lastovicka, Murray and Joachimsthaler, 1990;Novak and de Leeuw, 1992;ter Hofstede, Steenkamp and Wedel, 1999;Trivedi, 1999;Bucklin and Gupta, 1998;Bucklin, Gupta and Han, 1995;Allenby andGinter, 1995 Kucukemiroglu, 1999;Kamakura and Novak, 1992;Novak and MacEvoy, 1990;Botschcn, Thelen and Pieters, 1999;van Raaij and Verhallen, 1994;Cooper and Inoue, 1996;Kara and Kaynak, 1997;Schlegelmilch, Bohlen and Diamantopoious, 1996;Tepper, 1994;Firat and Scbuiz, 1997;…”

Section: The Paradigm Funnelmentioning

confidence: 99%

Through the Paradigm Funnel: A Conceptual Tool for Literature Analysis

Berthon¹,

Nairn²,

Money³

2003

Marketing Education Review

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“…They can operate online and thus may be used to classify customers by processing samples of unlimited size (such as a steady influx of scanner data). This gives them an advantage over other K-means extensions like the overlapping K-centroids approach proposed by Chaturvedi et al (1997).…”

Section: Neural Network Reduction Techniques For Condensing Three-waymentioning

confidence: 99%

Analyzing Destination Images: A Perceptual Charting Approach

Dolničar

Grabler

Mazanec

2000

Journal of Travel & Tourism Marketing

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Heterogeneity of perceptions is a neglected issue in market segmentation studies. Only recently parametric approaches toward modeling segmented perception-preference structures such as combined MDS and Latent Class procedures have been introduced. A completely different nonparametric method is based on topologysensitive vector quantization (VQ) for consumers-by-brands-by-attributes data. It maps the segment-specific perceptual structures into bar charts with multiple brand positions exhibiting perceptual distinctiveness or similarity. A brief introduction into the VQ methodology is followed by a sample study on three urban destinations competing on the world travel markets. City images serve as the underlying behavioral constructs. Preferential data are based on respondents' comes-closest-to-ideal-city judgments and incorporated into the perceptual positions of city profiles. Perceptual charting works on two levels of aggregation named prototypes and perceptual sub-structures. The results demonstrate how this method prevents the analyst from drawing erroneous conclusions due to uncontrolled aggregation. AbstractHeterogeneity of perceptions is a neglected issue in market segmentation studies. Only recently parametric approaches

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A Feature-Based Approach to Market Segmentation Via Overlapping K-Centroids Clustering

Cited by 70 publications

References 0 publications

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

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

Through the Paradigm Funnel: A Conceptual Tool for Literature Analysis

Analyzing Destination Images: A Perceptual Charting Approach

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