Abstract
It has become conventional wisdom that an organization's ability to continuously generate intelligence about customers' expressed and latent needs, and about how to satisfy those needs, is essential for it to continuously create superior customer value. However, intelligence generation typically has been treated as a generic firm activity. The authors propose that there are four distinct modes of intelligence generation, each of which is part of a welldeveloped intelligence-generation capability. The article reports the results of an exploratory study that supports this proposition.
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Stanley F. Slater is the vice chancellor for academic affairs and a professor of business administration at the University of Washington, Bothell. His research interests lie primarily in the areas of market-based organizational learning and market strategy implementation. He has published more than 30 articles in theJournal of Marketing, theJournal of the Academy of Marketing Science, theStrategic Management Journal, and theJournal of Management, among others. He has won “Best Paper” awards from the International Marketing Review and from the Marketing Science Institute. He currently serves on five editorial review boards including those of theJournal of Marketing and theJournal of the Academy of Marketing Science.
John C. Narver is a professor of marketing in the Graduate School of Business Administration at the University of Washington, Seattle. His general research interests lie in the area of strategic marketing. His current research is primarily concerned with the creation and effects of a market orientation in an organization. His work has been published in theJournal of Marketing, theStrategic Management Journal, theAcademy of Management Journal, and theJournal of Market-Focused, Management, among other scholarly journals. He has won the “Best Paper” award from the Marketing Science Institute.
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Slater, S.F., Narver, J.C. Intelligence generation and superior customer value. J. of the Acad. Mark. Sci. 28, 120–127 (2000). https://doi.org/10.1177/0092070300281011
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DOI: https://doi.org/10.1177/0092070300281011