Changes in Occupational Skills - A Case Study Using Non-negative Matrix Factorization

Woon, Wei Lee; Aung, Zeyar; AlKhader, Wala; Svetinovic, Davor; Omar, Mohammed

doi:10.1007/978-3-319-26555-1_71

Cited by 6 publications

(1 citation statement)

References 4 publications

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“…Thus the modernisation of existing workforce requires a robust workforce planning process that integrates future workforce needs so that capabilities are developed earlier. Typically, workforce planning processes involve the identification of strengths, weaknesses, opportunities and threats to develop appropriate interventions to mitigate future risks [3][4][5]. Previous applications of advanced data analysis techniques on workforce data have provided actionable insights on the effectiveness, efficiency, and impact of the workforce initiatives in the private sector related to retention and talent management [7][8][9]16].…”

Section: Introductionmentioning

confidence: 99%

Deriving Public Sector Workforce Insights: A Case Study Using Australian Public Sector Employment Profiles

Ghosh

Zheng

Lammers

et al. 2016

Advanced Data Mining and Applications

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Abstract. Effective approaches for measurement of human capital in public sector and government agencies is essential for robust workforce planning against changing economic conditions. To this purpose, adopting innovative hypotheses driven workforce data analysis can help discover hidden patterns and trends about the workforce. These trends are useful for decision making and support the development of policies to reach desired employment outcomes. In this study, the data challenges and approaches to a real life workforce analytics scenario are described. Statistical results from numerous workforce data experiments are combined to derive three hypotheses that are useful to public sector organisations for human resources management and decision making.

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