A Content Analysis of Business Job Advertisements Using Data Mining Techniques

Authors

Faleh Alshameri, Kuwait UniversityFollow
Ajay Adhikari, American UniversityFollow

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.

DOI

https://doi.org/10.62273/VVIE6840

Recommended Citation

Alshameri, Faleh and Adhikari, Ajay (2025) "A Content Analysis of Business Job Advertisements Using Data Mining Techniques," Journal of Information Systems Education: Vol. 36 : Iss. 3 , 316-330.
DOI: https://doi.org/10.62273/VVIE6840
Available at: https://aisel.aisnet.org/jise/vol36/iss3/8