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Cited by 275

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Assessing the Teaching Quality to Student Satisfaction Relationship: Applied Customer Satisfaction Research in the Classroom

Guolla, Michael·1999·Journal of Marketing Theory and Practice

Abstract

This study investigates the impact of multiple teaching quality factors on course satisfaction and instructor satisfaction as perceived by students. It applies established theory from customer satisfaction and educational psychology research to a sample of MBA and Undergraduate students from multiple sections of an introductory marketing course. In doing so, it demonstrates a method of obtaining diagnostic information to prioritize weaknesses and discover strengths of teaching performance that complements existing feedback processes. Substantive results indicate that learning was strongly related to course satisfaction and instructor enthusiasm was strongly related to instructor satisfaction. A discussion addresses how to use the r.esults while managerial implications summarize benefits and requirements to implement the method.

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Crossref · 10.1080/10696679.1999.11501843

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Metadata

Authors
Guolla, M.
Venue
Journal of Marketing Theory and Practice
Published
1999-07
Volume
7
Issue
3
Pages
87-97
ISSN
  • 1069-6679 (ISSN-L)
  • 1944-7175
OpenAlex
W2290892520
Cited by
275
References
3
FWCI
25.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Assessing the Teaching Quality to Student Satisfaction Relationship: Applied Customer Satisfaction Research in the Classroom. https://app.cochat.ai/papers/10.1080/10696679.1999.11501843
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Guolla, M. (1999). Assessing the Teaching Quality to Student Satisfaction Relationship: Applied Customer Satisfaction Research in the Classroom. Journal of Marketing Theory and Practice. https://doi.org/10.1080/10696679.1999.11501843

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.