A Content Analysis of Business Job Advertisements Using Data Mining Techniques

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Detalles Bibliográficos
Publicado en:	Journal of Information Systems Education vol. 36, no. 3 (Summer 2025), p. 316-331
Autor principal:	Alshameri, Faleh
Otros Autores:	Adhikari, Ajay
Publicado:	EDSIG
Materias:	Students Curricula Skills Content analysis Colleges & universities Data mining Artificial intelligence Programming languages Advertisements Business analytics Job openings College students Higher education Policy making Occupations Business Languages Labor market Visualization Teachers Advertising Technical skills Work skills Information retrieval Employers Multivariate Analysis Business Schools Literature Reviews Competence Curriculum Development Influence of Technology Inferences Employment Qualifications Communication (Thought Transfer) Accounting Interpersonal Competence Knowledge Economy Job Skills Information Systems Information Security Marketing Database Management Systems Educational Trends Programming Algorithms
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Descripción
Resumen:	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.
ISSN:	1055-3096 2574-3872 1055-3104
DOI:	10.62273/VVIE6840
Fuente:	ABI/INFORM Global