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Content Analysis of O.R. Job Advertisements to Infer Required SkillsManMohan S. SodhiCity University London - Sir John Cass Business School; Indian School of Business (ISB), Hyderabad Byung-Gak SonCass Business School May 6, 2009 Journal of the Operational Research Society (JORS), 2009 Cass Business School Research 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.
Number of Pages in PDF File: 28 Keywords: content analysis, manpower planning, statistics, education working papers seriesDate posted: July 17, 2010Suggested CitationContact Information
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