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

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

—Structural Modeling in Marketing: Some Future Possibilities

No abstract available.structural models, marketing models, behavioral theory

Impulse buying and variety seeking: Similarities and differences

Impulse buying and variety seeking seem to emerge from similar personality traits, yet the similarities and differences in the manifestation of these behaviors have not been fully explored. Despite the common origin, research on the two constructs has diverged as definitions of the phenomena have become more elaborate. Previous research on the two constructs shows that they are classifiable as low-effort, feeling-based behaviors with hedonic undertones. A middle-range theory that provides a more comprehensive depiction of how variety seeking and impulse buying are theoretically related is necessary. One way toward such a theory is the addition of a fourth "hidden" socio-normative dimension to the three-dimensional typology of purchase behaviors that Baumgartner (2002) proposes.Impulse buying Variety seeking Impulsiveness Sensation seeking Self-construal Self-monitoring Self-regulation Behavior typology

Information search and consideration set formation in a web-based store environment

The research reported here attempts to understand information search and consideration set formation in a web-based choice environment. A conceptual model is used to propose hypotheses that link information search and consideration set formation with two task environment influences that are typical of online settings. A study that simulates information search and consideration set formation in a web-based choice environment is conducted to test the hypotheses. The results offer insights into how the number of available alternatives and the amount of time available may have an effect on search and evaluation in a web-based store. The research has implications for understanding how consumers shop in online stores.Consumer behavior Information search Consideration set E-commerce Internet