Abstract
Opportunities for replicating large data sets that have already been collected by government, and made available to the public to provide the possibility of statistical data analysis, are starting to emerge. This study examines the factor structure of ambidextrous culture for innovation. Survey data was extracted from the State of the Service Employee Census 2014 comprising 3,125 engineering professionals in Commonwealth of Australia departments. Data were analysed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). EFA returned a two-factor structure explaining 61.1% of the variance of the construct. CFA revealed that a two-factor structure was indicated as a validated model (GFI = 0.99, AGFI = 0.98, RMSEA = 0.05, RMR = 0.02, IFI = 0.99, NFI = 0.99, CFI = 0.99, and TLI = 0.98). From the results, the two factors extracted as characterising ambidextrous culture for innovation were innovative culture and performance-oriented culture.
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Wipulanusat, W., Panuwatwanich, K., Stewart, R.A. (2017). Statistical Data Analysis of Culture for Innovation Using an Open Data Set from the Australian Public Service. In: Calì, A., Wood, P., Martin, N., Poulovassilis, A. (eds) Data Analytics. BICOD 2017. Lecture Notes in Computer Science(), vol 10365. Springer, Cham. https://doi.org/10.1007/978-3-319-60795-5_7
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DOI: https://doi.org/10.1007/978-3-319-60795-5_7
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