Castle N G, Banaszak-Holl J
AtlaniCare Health Systems, Egg Harbor Township, NJ 08234, USA.
Gerontologist. 1997 Oct;37(5):572-80. doi: 10.1093/geront/37.5.572.
This study examines how the demographic characteristics of the top management team in 236 nursing homes can affect the adoption of innovations. The computerization of the Minimum Data Set (MDS) is the innovation we examine, and tenure, education, and involvement in a professional society are the demographic characteristics investigated. Controlling for 10 organizational and environmental factors, the results are generally significant for each of these demographic factors. However, the results for top managers of nonchain nursing homes show a greater association between these demographic factors and innovation than the results for top managers of nursing homes belonging to a chain. We discuss these results in terms of their significance for innovation research, nursing homes, and top management.
本研究考察了236家疗养院高层管理团队的人口统计学特征如何影响创新的采用。我们所考察的创新是最小数据集(MDS)的计算机化,所调查的人口统计学特征包括任期、教育程度以及在专业协会中的参与情况。在控制了10个组织和环境因素后,这些人口统计学因素的结果总体上都具有显著性。然而,非连锁疗养院高层管理者的结果显示,相较于连锁疗养院高层管理者的结果,这些人口统计学因素与创新之间的关联更大。我们从这些结果对创新研究、疗养院及高层管理的重要性方面进行了讨论。