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The transformation of higher education: evaluation of CRM concept application and its impact on student satisfaction

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  • Anes Hrnjic

    (University of Sarajevo)

Abstract

An important question for higher education institutions (HEIs) worldwide is how to use the customer relationship management (CRM) knowledge and technologies generated from the research on the corporate business and adapt it to the university environment. Using indicators such as students’ satisfaction, HEIs are creating strategies to ensure student retention by focusing on a student-centric education approach, but they can no longer analyze their operations as independent and separate. Based on the Krueger/Homp SOS concept, efficient performance in the market is possible only with the joint performance of all three process categories, and for HEIs, those include class-related activities, management, and supporting processes. The main purpose of the research was to examine the applicability of the proposed student satisfaction model in relation to the CRM strategy at HEIs in terms of identifying key student satisfaction components. Results aided us in developing a new perspective in evaluating the CRM strategy in the higher education sector and a better understanding of pedagogical basis for the shift toward student-oriented education. Practical implications highlight the importance of adapting the CRM strategy in the sector of higher education and creation of student-oriented environment by constantly adapting its processes in accordance with indicators of student satisfaction. Identification of factors constituting student satisfaction enables universities’ management board and other departments to establish grounds for practices that would result in a more efficient organization and an increase in student satisfaction. Findings should also give strong incentives to management boards of education institutions to devote their efforts to CRM concept application at their institution.

Suggested Citation

  • Anes Hrnjic, 2016. "The transformation of higher education: evaluation of CRM concept application and its impact on student satisfaction," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(1), pages 53-77, April.
  • Handle: RePEc:spr:eurasi:v:6:y:2016:i:1:d:10.1007_s40821-015-0037-x
    DOI: 10.1007/s40821-015-0037-x
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    References listed on IDEAS

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    1. Abhay Shah, 2009. "The Impact of Quality on Satisfaction, Revenue, and Cost as Perceived by Providers of Higher Education," Journal of Marketing for Higher Education, Taylor & Francis Journals, vol. 19(2), pages 125-141, December.
    2. Reimann, Martin & Schilke, Oliver & Thomas, Jacquelyn S., 2010. "Toward an understanding of industry commoditization: Its nature and role in evolving marketing competition," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 188-197.
    3. Ruth N. Bolton, 1998. "A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction," Marketing Science, INFORMS, vol. 17(1), pages 45-65.
    4. Amir Mozaheb & Sayyed Mohammad Ali Alamolhodaei & Mohammad Fotouhi Ardakani, 2015. "Effect of Customer Relationship Management (CRM) on Performance of Small-Medium Sized Enterprises (SMEs) Using Structural Equations Model (SEM)," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 5(2), pages 42-52, April.
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    Cited by:

    1. Sandra Brkanlić & Javier Sánchez-García & Edgar Breso Esteve & Ivana Brkić & Maja Ćirić & Jovana Tatarski & Jovana Gardašević & Marko Petrović, 2020. "Marketing Mix Instruments as Factors of Improvement of Students’ Satisfaction in Higher Education Institutions in Republic of Serbia and Spain," Sustainability, MDPI, vol. 12(18), pages 1-16, September.
    2. Schmidt, Holger & Baumgarth, Carsten, 2017. "Empowerment from a "student as customer" perspective: Literature review and development of a framework in the context of higher education," PraxisWISSEN Marketing: German Journal of Marketing, AfM – Arbeitsgemeinschaft für Marketing, vol. 2(01/2017), pages 87-104.

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    More about this item

    Keywords

    CRM strategy; Higher education sector; Krueger/Homp SOS categorization; Student-oriented education; Student satisfaction; Student retention;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • P46 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty

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