Abstract
The author proposes a classification system for the analysis and curbing of negative rumors in the market place. The classification system is useful for marketers as it does not only indicate the potential of a rumor to spread, but also suggests the response strategy appropriate in a specific rumor situation. To illustrate the relevance and applicability of the classification system the article will refer to an example recently seen in Denmark: the case of Wash & Go.
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References
Allport, G.W & Postman, L.J.(1965). The Psychology of Rumor, New York
Bettman J. (1979). An Information Processing Theory of Consumer Choice. Reading, MA:Addison-Wesley
Richins, R.L. (1984). Worth of Mouth Communicationa as Negative Information. In: Thomas Kinnnear (ed.), Advances in Consumer Research, Vol. 11,697–702.
Sherry, J.F. (1984) Some Implications of Consumer Oral Tradition For Reactive Marketing. In: Thomas Kinnear (ed.), Advances in Consumer Research, Vol.11, 741–747.
Tybout, A., Calder, B.J. & Sternthal, B. (1981) Using Information Processing Theory to Design Marketing Strategies. In: Journal of Marketing Research, Vol. 18,73–79.
Weinberger, M.C., Allen, T.C. & Dillon, W.R. (1981). Negative Information: Perspectives and Research Directions. In: K.B. Monroe (ed.), Advances in Consumer Research Vol 8,398–404
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Jensen, J.M. (2015). A Strategic Framework for Analysing Negative Rumors in the Market Place: The Case of Wash & Go in Denmark. In: Sirgy, M., Bahn, K., Erem, T. (eds) Proceedings of the 1993 World Marketing Congress. Developments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer, Cham. https://doi.org/10.1007/978-3-319-17323-8_123
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DOI: https://doi.org/10.1007/978-3-319-17323-8_123
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