Content Analysis of O.R. Job Advertisements to Infer Required Skills
ManMohan S. Sodhi
City University London - Sir John Cass Business School; Indian School of Business (ISB), Hyderabad
Cass Business School
May 6, 2009
Journal of the Operational Research Society (JORS), 2009
Cass Business School Research
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.
Number of Pages in PDF File: 28
Keywords: content analysis, manpower planning, statistics, educationworking papers series
Date posted: July 17, 2010
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