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<p>Volunteers are essential to the social service sector, constituting a significant part of its workforce. Consequently, volunteer management – heavily influenced by human resource management – is vital. Despite the widespread use of data mining in human resource management, its application in volunteer management remains limited. This paper presents an analytics framework for volunteer management using data mining techniques, enabling organisations within the social service sector to make evidence-based, data-driven decisions. Additionally, the paper illustrates a volunteer retention application using predictive modelling. Data mining can significantly improve not only volunteer management but also other aspects of the social service sector.</p>

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Volunteer Management: A Data Mining Approach

  • 期刊论文

  • 发表日期：

    2025年3月14日

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  • Jess Wei Chin Tan

摘要

Volunteers are essential to the social service sector, constituting a significant part of its workforce. Consequently, volunteer management – heavily influenced by human resource management – is vital. Despite the widespread use of data mining in human resource management, its application in volunteer management remains limited. This paper presents an analytics framework for volunteer management using data mining techniques, enabling organisations within the social service sector to make evidence-based, data-driven decisions. Additionally, the paper illustrates a volunteer retention application using predictive modelling. Data mining can significantly improve not only volunteer management but also other aspects of the social service sector.