This paper focuses on a decision system for family – run businesses. The aim is to capture the leadership instinct and experience in order to guarantee a human resource management instrument for the next entrepreneurial generations. The design of a decision system considers the need of assembling work teams for business orders via the following steps. First, a KSA (Knowledge, Skills and Attitudes) model is analysed for the description of workers and their abilities for each work order. Then, an Apriori algorithm studies the logic by which the leadership makes the work teams. Finally, the information fusion, due to both KSA and Apriori algorithm, allows the reconstruction of leadership decisions with a high accuracy degree. A real case of family – run business is useful to test the approach, showing that the entrepreneurial success is not always due to the best work teams.
Construction of decision criteria for family – run businesses
GAETA, Matteo;PERANO, MIRKO;PICIOCCHI, Paolo;RARITA', LUIGI
2014-01-01
Abstract
This paper focuses on a decision system for family – run businesses. The aim is to capture the leadership instinct and experience in order to guarantee a human resource management instrument for the next entrepreneurial generations. The design of a decision system considers the need of assembling work teams for business orders via the following steps. First, a KSA (Knowledge, Skills and Attitudes) model is analysed for the description of workers and their abilities for each work order. Then, an Apriori algorithm studies the logic by which the leadership makes the work teams. Finally, the information fusion, due to both KSA and Apriori algorithm, allows the reconstruction of leadership decisions with a high accuracy degree. A real case of family – run business is useful to test the approach, showing that the entrepreneurial success is not always due to the best work teams.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
