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The competitive intelligence process in sport: data collection properties of high-level cricket coaches

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  • Liandi Van den Berg
  • Ben Coetzee
  • Seugnet Blignaut
  • Martie Mearns

Abstract

The aim of this study was to identify the data collection properties of cricket coaches, using the first stage of the 4Cs Competitive Intelligence (CI) process model of Weiss as framework. Semi-structured interviews were performed with high-level cricket coaches in South Africa. Content analysis was performed by developing a codebook through the creation of theory and data-driven codes with ATLAS.TITM computer assisted qualitative data analysis software. Codes were thematised into the what, where, who and how of data collection as well as challenges cricket coaches face. Overall, coaches indicated that they make use of various sources of information on competitors, own team and the environment. Data collection is usually performed by numerous persons within the team set-up and a variety of information formats are utilized. The main findings of the study indicated that easy available sources are not effectively utilized, data collection processes are not performed in a structured manner and coaches need skill development regarding data collection and analysis. Furthermore, the lack of technology as well as the absence of a person who can collect data and a shortage of skills by the person who is responsible for data collection, are the main challenges coaches face.

Suggested Citation

  • Liandi Van den Berg & Ben Coetzee & Seugnet Blignaut & Martie Mearns, 2018. "The competitive intelligence process in sport: data collection properties of high-level cricket coaches," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 18(1), pages 32-54, January.
    • Handle: RePEc:taf:rpanxx:v:18:y:2018:i:1:p:32-54
    DOI: 10.1080/24748668.2018.1443367
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