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Reseach Article

Total Service Quality Measurement in Technical Education System – A Case Study of Deemed University

by Ajay Kumar Behera, Harish C. Das, Narayan C. Nayak
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 63 - Number 15
Year of Publication: 2013
Authors: Ajay Kumar Behera, Harish C. Das, Narayan C. Nayak
10.5120/10539-3940

Ajay Kumar Behera, Harish C. Das, Narayan C. Nayak . Total Service Quality Measurement in Technical Education System – A Case Study of Deemed University. International Journal of Computer Applications. 63, 15 ( February 2013), 1-7. DOI=10.5120/10539-3940

@article{ 10.5120/10539-3940,
author = { Ajay Kumar Behera, Harish C. Das, Narayan C. Nayak },
title = { Total Service Quality Measurement in Technical Education System – A Case Study of Deemed University },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 63 },
number = { 15 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume63/number15/10539-3940/ },
doi = { 10.5120/10539-3940 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:14:24.311177+05:30
%A Ajay Kumar Behera
%A Harish C. Das
%A Narayan C. Nayak
%T Total Service Quality Measurement in Technical Education System – A Case Study of Deemed University
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 15
%P 1-7
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The purpose of this paper was to investigate expectations of students' perceptions of service quality and students' satisfaction, using both qualitative and quantitative research methods. The service quality model (SERVQUAL) was used in a higher education setting in XYZ University by determining the difference in opinion existed in students' expectations versus their actual experiences. The study examined the relationships within four schools of XYZ University. The researcher tested the relationships between gap score, overall service quality and overall satisfaction. Six in - depth interviews were undertaken and 126 students were surveyed online as part of this research. Expectations of students were related to six factors, such as, physical evidence, contact personnel, reputation, facility/entertainment offer, curriculum and special services. Assurance, knowledgeable, responsive, on time delivering, error free record keeping and caring are the other factors students expected from the University. The widest gap between students' perceived performance and expectations was in the area of reliability. University is not doing fare with regard to its physical facilities, helping students, providing prompt service and understanding students' specific needs. Most students' expectations were only just met. Service quality is more or less similar across the four schools of the University. There are significant relationships across the service gap scores, overall service quality and overall satisfaction. The increased level of service quality and satisfaction has a correlation with the gap scores. In other words, mismatch between student expectation and perceived level of service quality received has an impact upon overall service quality and student satisfaction.

References
  1. Abdullah, F. (2005). HEdPERF versus SERVPERF: The Quest for ideal measuring instrument of service quality in higher education sector, Quality Assurance in Education, vol. 13, no. 4, pp. 305-328.
  2. Carol J. R. and Manoj K. M. (2005). De?ning the concept of supply chain quality management and its relevance to academic and industrial practice. Int. J. Production Economics, 96, pp. 315-337.
  3. Christoph T. , Herbert K. and David B. G. Improving the execution of supply chain management in organizations. Int. J. Production Economics (press).
  4. Cronin, J. J and Taylor, S. A. (1994). SERVPERF versus SERVQUAL: Reconciling Performance-based and Perceptions-minus-Expectations Measurement of Service Quality, Journal of Marketing, vol. 58, pp. 125-131.
  5. Hale K. and Janet L. H. (2008). A replication and extension of quality management into the supply chain. Journal of Operations Management, 26, pp. 468–489.
  6. Jensen, J. B. and Markland, R. E. (1996). Improving the Application of Quality Conformance Tools in Service Firms, The Journal of Services Marketing, vol. 10, no. 1, pp. 35-55.
  7. Gronroos, C. , (1998). Service quality: the six criteria of good perceived service quality, Review of Business, vol. 9, no. 3, pp 10-13.
  8. Gunasekaran, A. , Ngai, E. W. T. (2005). Build-to-order supply chain management: a literature review and framework for development. Journal of Operations Management, 23, pp. 423-451.
  9. Gustafsson, A. , Nilsson, L. and Johnson, M. D. (2003). The role of quality practices in service organizations, International Journal of Service Industry Management, vol. 14, no. 2, pp. 232-244.
  10. Jian C. , Xiangdong L. , Zhihui X. and Jin L. (2009). Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment. Decision Support Systems, 46, pp. 512–521.
  11. Jorn-Henrik T. and Daniel H. (2011). An empirical analysis of supply chain risk management in the German automotive industry. Int. J. Production Economics, 131, pp. 242-249.
  12. Miguel A. L. and Nevena Y, (2005). On characterizing the 4 C's in supply chain management, Journal of Operations Management, 23, pp. 81-100.
  13. Parasuraman, A (2002). Service Quality and Productivity: A Synergistic Perspective, Managing Service Quality, vol. 12, no. 1, pp. 6-9.
  14. Parasuraman, A. , Berry, L. L. and Zeithaml, V. A. (1991). Refinement and Reassessment of the SERVQUAL Scale, Journal of Retailing, vol. 67, no. 4, pp. 420-450.
  15. Parasuraman, A. , Zeithaml, V. A. and Berry, L. L. (1988). SERVQUAL: A Multiple-item Scale for Measuring Customer Perceptions of Service Quality, Journal of Retailing, vol. 64, no. 1, pp. 12-37.
  16. Parasuraman, A. , Zeithaml, V. A. and Berry, L. L. (1985). A Conceptual Model of Service Quality and its Implication for Future Research, Journal of Marketing, vol. 49, pp. 41-50.
  17. S. Thomas F. Jr. (2008). Towards an understanding of supply chain quality management. Journal of Operations Management, 26, pp. 461-467.
Index Terms

Computer Science
Information Sciences

Keywords

service quality supply chain gap score expectation satisfaction relationship