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Employees' information system usage behavior evolution based on social network analysis perspective

机译:基于社交网络分析视角的员工信息系统使用行为演化

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Prior research has studied individual-level information system post-adoption usage, primarily regarding cognitive factors as predictors of individual usage behavior. We suggest that employees should be embedded in the social network of the organizational unit, and their interactions with coworkers can promote the usage behavior evolution from habitual usage behavior to innovative usage behavior over time. In this paper, according to the social capital theory, we propose a research model of individual IS usage behavior evolution. Then we take the longitudinal period of 3 years and choose two typical periods to collect the valid data from a motor manufacturing enterprise. Through both in-depth interviews and social network analysis approach, empirical results show that there is a close relationship between changing social networks and employees' information system usage behavior evolution. In the Low network density and centrality are positively associated with employees' habitual usage and high network density and centrality are positively associated with employees' innovative usage.
机译:先前的研究已经研究了个人级信息系统的采用后使用情况,主要是将认知因素视为个人使用行为的预测指标。我们建议,员工应该嵌入组织单位的社交网络中,并且他们与同事的互动可以随着时间的推移促进使用行为从习惯性使用行为向创新性使用行为的演变。本文根据社会资本理论,提出了个体信息系统使用行为演化的研究模型。然后,我们采用3年的纵向周期,并选择两个典型的周期来收集来自汽车制造企业的有效数据。通过深入的访谈和社交网络分析方法,实证结果表明,不断变化的社交网络与员工信息系统使用行为的演变之间有着密切的关系。在低网络密度和集中度与员工的习惯使用成正比,而高网络密度和集中度与员工的创新使用成正比。

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