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University Image: The Benefits of Assessment and Modeling

Author

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  • R. Eric Landrum
  • Rob Turrisi
  • Clayton Harless

Abstract

Residents across a state were asked about their opinions about a regional university. Using closed- and open-ended questions in mailed surveys, information about university image was collected. Results indicate that residents have one of two opinions about the university—either they have a general, positive opinion (halo effect) or no opinion. LISREL modeling of the data point to the significant components of university image and how they influence the decision to send a son or daughter to the university, which in turn leads to a better understanding of the impact of university image. More work with varying populations and a variety of universities needs to be published to contribute to a general, overall understanding of the impact of university image.

Suggested Citation

  • R. Eric Landrum & Rob Turrisi & Clayton Harless, 1998. "University Image: The Benefits of Assessment and Modeling," Journal of Marketing for Higher Education, Taylor & Francis Journals, vol. 9(1), pages 53-68, March.
  • Handle: RePEc:taf:jmkthe:v:9:y:1998:i:1:p:53-68
    DOI: 10.1300/J050v09n01_05
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    Cited by:

    1. Shakeel Ahmed & Muhammad Hasnain Ali, 2022. "Institutional Service Quality, Word of Mouth and Institutional Image: An Empirical Study of Pakistani Universities," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(1), pages 18-30, March.
    2. Ramón Álvarez Vaz & Danny Freira & Elena Vernazza & Helena Alves, 2016. "Can students’ satisfaction indexes be applied the same way in different countries?," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 13(2), pages 101-118, July.
    3. Nguyen, Bang & Yu, Xiaoyu & Melewar, T.C. & Hemsley-Brown, Jane, 2016. "Brand ambidexterity and commitment in higher education: An exploratory study," Journal of Business Research, Elsevier, vol. 69(8), pages 3105-3112.
    4. Marta Retamosa & Ángel Millán & Miguel Moital, 2020. "Does the Type of Degree Predict Different Levels of Satisfaction and Loyalty? A Brand Equity Perspective," Corporate Reputation Review, Palgrave Macmillan, vol. 23(2), pages 57-77, May.
    5. Partenie Cristina-Veronica, 2019. "From Intent to Action – A Study Regarding High School Students’ Motivation in Choosing a University," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 29(2), pages 17-32, June.
    6. Luis Doña-Toledo & Teodoro Luque-Martínez & Salvador Barrio-García, 2017. "Antecedents and consequences of university perceived value, according to graduates: The moderating role of Higher Education involvement," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 14(4), pages 535-565, December.
    7. Hutchinson, Michael & Bennett, Gregg, 2012. "Core values brand building in sport: Stakeholder attitudes towards intercollegiate athletics and university brand congruency," Sport Management Review, Elsevier, vol. 15(4), pages 434-447.
    8. Lucio Masserini & Matilde Bini & Monica Pratesi, 2019. "Do Quality of Services and Institutional Image Impact Students’ Satisfaction and Loyalty in Higher Education?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 91-115, November.

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