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An Optimization Model for Mapping Organization and Consumer Preferences for Internet Information Channels

An Optimization Model for Mapping Organization and Consumer Preferences for Internet Information Channels

Gaurav Khatwani, Praveen Ranjan Srivastava
Copyright: © 2017 |Volume: 25 |Issue: 2 |Pages: 28
ISSN: 1062-7375|EISSN: 1533-7995|EISBN13: 9781522510789|DOI: 10.4018/JGIM.2017040106
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MLA

Khatwani, Gaurav, and Praveen Ranjan Srivastava. "An Optimization Model for Mapping Organization and Consumer Preferences for Internet Information Channels." JGIM vol.25, no.2 2017: pp.88-115. http://doi.org/10.4018/JGIM.2017040106

APA

Khatwani, G. & Srivastava, P. R. (2017). An Optimization Model for Mapping Organization and Consumer Preferences for Internet Information Channels. Journal of Global Information Management (JGIM), 25(2), 88-115. http://doi.org/10.4018/JGIM.2017040106

Chicago

Khatwani, Gaurav, and Praveen Ranjan Srivastava. "An Optimization Model for Mapping Organization and Consumer Preferences for Internet Information Channels," Journal of Global Information Management (JGIM) 25, no.2: 88-115. http://doi.org/10.4018/JGIM.2017040106

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Abstract

The evolution of information technology has resulted in increasingly fragmented digital media and multiple information channels. Organizations can develop comprehensive insights into consumer behavior and preferences by evaluating customers' perceptions of the various Internet channels that are available. Such insights can be used to identify which information channels can be employed to effectively reach and communicate with a target market and, thus, to optimize marketing strategies. This paper commences with a comprehensive literature review of existing research on consumer information search patterns and strategies, with a particular focus on Internet channels. The literature review is employed to develop a set of criterion by which consumer search preferences can be better understood. This criterion is subsequently used to develop a optimization model for organization that can effectively align marketing practices with customers' search processes and preferences during their pre-purchase information search.

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