Evaluating HEDPERF as Predictor of Business Studentsâ€™ Satisfaction in the Provision of Quality Education Services

Mohammed Majeed

Evaluating HEDPERF as Predictor of Business Students’ Satisfaction in the Provision of Quality Education Services

Mohammed Majeed *

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Evaluating HEDPERF as Predictor of Business Students’ Satisfaction in the Provision of Quality Education Services

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Abstract

The pressure for modification of higher education sector can be traced globally.The study aimed to assess service quality provided by University for Development Studies School of Business and Law (UDS-SBL) in the opinion of business students via HEdPERF service quality model.Literature was reviewed to cover: higher education and service quality, higher education performance model (HEdPERF), the relationship between service quality and students’ satisfaction, and students’ satisfaction. The research approach was quantitative and the design was descriptive. As a quantitative study, a questionnaire with close ended questions was used to elicit the responses. It was found that the association between service quality variables and general business students’ satisfaction were vastly significant, with programmes aspects being the strongest. Meanwhile, academic, non-academic, reputation, access and design aspects are equally paramount and should be given special attention.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mohammed Majeed. 2019. "Evaluating HEDPERF as Predictor of Business Students’ Satisfaction in the Provision of Quality Education Services". Global Journal of Human-Social Science - G: Linguistics & Education GJHSS-G Volume 19 (GJHSS Volume 19 Issue G2).

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GJHSS Volume 19 Issue G2

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Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

Keywords

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Classification

GJHSS-G Classification FOR Code: 139999

Submission ReceivedDecember 14, 2018
Peer Review Double Blind
Handling Editor
Accepted January 4, 2019
Published March 16, 2019

Version of record

v1.2

Issue date

March 16, 2019

Language

English

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Article Matrices

Total Score: 101

Country: Unknown

Subject: Global Journal of Human-Social Science - G: Linguistics & Education

Authors: Mohammed Majeed (PhD/Dr. count: 0)

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Publish Date: 2019 01, Tue

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