479
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

Hospitality and Tourism Education in Uganda: An Integrative Analysis of Students’ Motivations and Industry Perceptions

&
Pages 332-357 | Received 06 Dec 2011, Accepted 03 Apr 2012, Published online: 08 Nov 2012
 

Abstract

This article presents an integrative analysis of students' motivations in choosing hospitality and tourism programs as well as industry perceptions of graduates' qualifications for employment in Uganda. A mixed-method approach is used for data collection, analysis, and reporting. Quantitatively, the study replicates a motivational scale of choosing educational programs and identifies six factors that collectively explain about 60% of the variance in students choosing hospitality and tourism programs in this African developing economy. Industry perceptions of graduates' qualifications for employment are reported on the basis of qualitative interviews. Implications of the study are discussed in light of curriculum and program refinement to better prepare future graduates for the industry.

Acknowledgments

The first author would like to acknowledge Mr. Aporu J. Paul and the students of Bachelor of Travel and Tourism Management from Makerere University Business School, who helped in data collection and participated in this study, respectively. The authors would also like to thank the anonymous reviewers and the editor; they provided valuable comments that made this publication possible.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 227.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.