ENTROPY IN COMPETENCE MANAGEMENT OF STAFF TEAMS

作者: I Olton

DOI:

关键词:

摘要: The assessment of employees' competence is the most important and essential information for decision-making process companies. As observations show, despite abundant stock data available competency methods, managers receive few useful needed human resource management. In this study proposed to use informative entropy method, which measures amount contained in particular competencies. described method can be used resources possessed at level staff team. This mainly allows determine distribution structure group, assess adjustment real needs, locate deficits. Indroduction value company depends on efficient them (1) a substantial influence have competences that are disposal company. Thus, employees Competency - based management, therefore an element personnel policy. However, many companies feature management systems incoherence undertaken activities. Lack harmony among systems, such as: recruitment, training remuneration policy results inability effective sustainable given area. survey literature own indicate large effort involved there little reliable because organizational units enterprises communicate with each other small extent gathered their use. All more so competencies inherent employees, one tasks enterprise, only professional group has direct impact development financial result various levels. shown by studies carried out several Polish errors primary impediment achieving competitiveness (2). One elements company's its adaptability, depending ability current operational needs(3). today's era economic progress, when changes occur surprisingly quickly, should support tools obtain competitive advantage.

参考文章(3)
Krzysztof Czerkas, Ryzyko banku w finansowaniu projektów mieszkaniowych Bank i Kredyt. pp. 67- 75 ,(2004)
David C. McClelland, Testing for Competence Rather Than for "Intelligence" American Psychologist. ,vol. 28, pp. 1- 14 ,(1973) , 10.1037/H0034092
Duncan H. Meldrum, Country Risk and Foreign Direct Investment Business Economics. ,vol. 35, pp. 33- ,(2000)