Content Analysis of O.R. Job Advertisements to Infer Required Skills
Journal of the Operational Research Society (JORS), 2009
28 Pages Posted: 17 Jul 2010
Date Written: May 6, 2009
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
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