Content area

Abstract

Universities and educators need to stay abreast of the rapidly changing job market to prepare students to be market ready. There is a growing disconnect between the education higher institutions offer and the skills employers seek. In this paper, through a content analysis of job advertisements using data mining techniques, we identify patterns underlying technical competencies for business jobs by discipline and location. We provide both a visualization as well as a descriptive analysis of our findings. Our findings highlight sought after technical skills such as programming languages and data analytics tools, as well as the regional variation in job availability. The findings underscore the importance of updating university curricula to align with market demands, providing actionable insights for students, educators, employees, and policymakers.

Details

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Title
A Content Analysis of Business Job Advertisements Using Data Mining Techniques
Author
Alshameri, Faleh 1 ; Adhikari, Ajay 2 

 College of Business Administration Kuwait University Sabah Al-Salem University City, Al-Shadadiya, Kuwait 
 Kogod School of Business American University Washington, DC 20016, USA 
Publication title
Volume
36
Issue
3
Pages
316-330
Number of pages
16
Publication year
2025
Publication date
Summer 2025
Publisher
EDSIG
Place of publication
West Lafayette
Country of publication
United States
ISSN
10553096
e-ISSN
25743872
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
3252289589
Document URL
https://www.proquest.com/scholarly-journals/content-analysis-business-job-advertisements/docview/3252289589/se-2?accountid=208611
Copyright
Copyright EDSIG 2025
Last updated
2025-11-14
Database
2 databases
  • Education Research Index
  • ProQuest One Academic