A Framework for Profiling Prospective Students in Higher Education

Author:

Lakkaraju Santhosh Kumar1,Tech Deb1,Deng Shuyuan1

Affiliation:

1. Dakota State University, USA

Abstract

Before purchasing a higher education program, prospects invest a significant amount of time researching different programs. This chapter intends to provide a conceptual framework to profile prospective students by giving an overview of higher education marketing literature and extracting a theoretical model to analyze different prospect decision-making factors. These decision-making factors are further categorized into prospect profiles based on their contextual relevance.

Publisher

IGI Global

Reference27 articles.

1. Aarinen, A. (2012). University Websites As Facilitators Of International Student Decision Making. Academic Press.

2. Adomavicius, G., & Alexander, T. (2001). Using Data Mining Methods to Build Customer Profiles. IEEE Computer, 74–82.

3. Analyzing Target Customer Behavior Using Data Mining Techniques for E- Commerce Data.;D. V.Bhate;International Journal of Innovative Research in Computer Science & Technology,2014

4. Catherine Bounsaythip, E. R.-R. (2001). Overview of Data Mining for Customer Behavior Modeling. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.22.3279

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