Content Analysis of O.R. Job Advertisements to Infer Required Skills

Journal of the Operational Research Society (JORS), 2009

Cass Business School Research

28 Pages Posted: 17 Jul 2010

See all articles by ManMohan S. Sodhi

ManMohan S. Sodhi

City University London - Sir John Cass Business School

Byung-Gak Son

Cass Business School

Date Written: May 6, 2009

Abstract

The paper presents an empirical method to infer employers’ requirements of operational research (O.R.) skills by analyzing the text of online job ads using content analysis. The method entailed collecting more than a thousand job ads from online sources, creating a hierarchy of sets of O.R.-related words and phrases, and then analyzing the job ads using content analysis software to count the numbers of ads using the hierarchy of words and phrases. The method is particularly well suited for the periodic analysis of job ads to understand changes and trends, and is replicable in that, when carried out using our proposed keywords, it would yield the same results for any set of O.R. job ads.

Keywords: content analysis, manpower planning, statistics, education

Suggested Citation

Sodhi, ManMohan S. and Son, Byung-Gak, Content Analysis of O.R. Job Advertisements to Infer Required Skills (May 6, 2009). Journal of the Operational Research Society (JORS), 2009, Cass Business School Research, Available at SSRN: https://ssrn.com/abstract=1640814 or http://dx.doi.org/10.2139/ssrn.1640814

ManMohan S. Sodhi (Contact Author)

City University London - Sir John Cass Business School ( email )

106 Bunhill Row
London, EC1Y 8TZ
United Kingdom

Byung-Gak Son

Cass Business School ( email )

106 Bunhill Row
London, EC1Y 8TZ
United Kingdom

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