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Service Quality Dimensionality in Higher Education Institutions (HEIs): An Analytical Approach from Students' Perspective

Service Quality Dimensionality in Higher Education Institutions (HEIs): An Analytical Approach from Students' Perspective

B. Shanmuga Priya, M. Jeyakumaran
Copyright: © 2015 |Volume: 5 |Issue: 1 |Pages: 18
ISSN: 2155-5605|EISSN: 2155-5613|EISBN13: 9781466679719|DOI: 10.4018/ijtem.2015010106
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MLA

Priya, B. Shanmuga, and M. Jeyakumaran. "Service Quality Dimensionality in Higher Education Institutions (HEIs): An Analytical Approach from Students' Perspective." IJTEM vol.5, no.1 2015: pp.60-77. http://doi.org/10.4018/ijtem.2015010106

APA

Priya, B. S. & Jeyakumaran, M. (2015). Service Quality Dimensionality in Higher Education Institutions (HEIs): An Analytical Approach from Students' Perspective. International Journal of Technology and Educational Marketing (IJTEM), 5(1), 60-77. http://doi.org/10.4018/ijtem.2015010106

Chicago

Priya, B. Shanmuga, and M. Jeyakumaran. "Service Quality Dimensionality in Higher Education Institutions (HEIs): An Analytical Approach from Students' Perspective," International Journal of Technology and Educational Marketing (IJTEM) 5, no.1: 60-77. http://doi.org/10.4018/ijtem.2015010106

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Abstract

High levels of stress in the academic environment is linked to a lack of clarity in academic role and a phenomenon of chronic overwork caused by changing HEI's structures and expectations. But there is a current positive trend of universities developing more and more wellbeing policies, which means impact of technology in higher education institutions learning environment. The major aim of this research paper is to identify the dimensions, which is the best predictor of overall service quality in higher educational institutions service sector. EduQUAL item in original form is not enough in the context of southern tamilnadu educational environment. A five dimension EduQUAL item including customer evaluation revealed reliable and valid results in one of the southern states of India i.e. Tamilnadu context. The researcher has used SPSS for analyzing the data and AMOS The significant coefficient is Assurance dimension and the remaining 6 predictors are non-significant. The non-significance variable exceeds 0.05, and do not contribute much to the regression model. This means that the Assurance dimension is the main predictor for overall satisfaction of students.

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