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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/15396
Title: How intellectual capital influences individual performance: A multi-level perspective
Authors: Cheng-Hui Wang
Chia-Dai Yen 
Gloria H.W. Liu
Keywords: Intellectual capital;Job autonomy;Task interdependence;Job performance;HLM
Issue Date: Oct-2015
Publisher: Elsevier
Journal Volume: 51
Journal Issue: Part B
Start page/Pages: 930-937
Source: Computers in Human Behavior
Abstract: 
In the knowledge-based economy, intellectual capital (IC) is of substantial importance. IC includes human capital, organizational capital and social capital. Applying IC is essential for an organization’s survival in a competitive industry such as news media. Reporters are vital human capital in news organizations. They are the knowledge workers who create and distribute news. They also represent social capital because they have to develop relationships with news sources from outside of the organization. However, it is difficult to tap and retain IC. A news organization loses both human and social capital whenever a reporter resigns or job-hops. This research examines the relationships between IC and reporters’ performance from a multi-level perspective. We argue that the performance of an individual reporter is influenced by IC; moreover, job autonomy and team interdependence mediate the influence of IC on reporter performance. We collected 492 valid TV reporter samples from 44 teams, and used the Hierarchical Linear Model (HLM) to analyze the data. All hypotheses were supported, suggesting that the more the management pays attention to reporters’ IC and their working conditions (i.e., job autonomy and task interdependence), the higher the performance of reporters. The implications for team collaborative learning and interaction are discussed.
URI: http://scholars.ntou.edu.tw/handle/123456789/15396
DOI: https://doi.org/10.1016/j.chb.2014.10.044
Appears in Collections:教育研究所

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