Characteristics of Social Networks and Employee Behavior and Performance A Chinese Case Study of a State-Owned Enterprise

Characteristics of Social Networks and Employee Behavior and Performance A Chinese Case Study of a State-Owned Enterprise

Jianping Peng (Sun Yat-sen School of Business, Sun Yat-sen University, GuangZhou, China) and Jing Quan (Department of Information and Decision Sciences, Perdue School of Business, Salisbury University, Salisbury, MD, USA)
Copyright: © 2012 |Pages: 20
DOI: 10.4018/irmj.2012100102
OnDemand PDF Download:
$37.50

Abstract

Based on the social networks at a Chinese state-owned enterprise, the authors examine the factors that are correlated with employee performance. They delineate two types of performance: task and contextual. The factors in their study are the characteristics of the four social networks (Job Advisory, Work Discussion, Friendship, and Email Networks) and the individual attributes (knowledge sharing behavior and IT capability). The network characteristics used in this study are the degree centrality and betweenness centrality. The authors find that 1) employee contextual performance is uncorrelated with the network characteristics; 2) it is significantly and positively correlated with knowledge sharing behavior, but significantly and negatively correlated with individual IT capability; and 3) task performance is correlated, both positively and negatively, with various network characteristics, but not with knowledge sharing behavior and individual IT capability. They discuss the cultural dimension of their results. The authors draw theoretical and managerial implications based on their research framework and findings.
Article Preview

Introduction

Social networking has recently made significant strides into the corporate intranets, and employee social networks (ESNs) become increasingly valuable assets to organizations (Skeels & Grudin, 2009). The rise of ESNs has generated important research questions for both academia and practitioners. While researchers agree in general that ESNs have a positive effect on innovation and firm performance (Dyer et al., 1998, 2000; Mower et al., 1996; Rowley et al., 2000; Vander et al., 2002; Wu et al., 2007), how they affect employee performance remains largely unanswered (Castilla, 2005). Studies on employee performance in the past have largely relied on the economics theory that assumes the rationality of human beings in economic agents’ behavior. However, they fail to take into consideration the fact that the behavior can be influenced by their interactions with others in the social networks. Social network analysis (SNA) studies individual choices in the context of the social networks and assumes that personal behavior choices are influenced by networks with which they interact (Jackson, 2008). Based on social network analysis, this research proposes a new approach to studying individual employee performance by examining the influence of social network characteristics on employees. This approach can not only overcome some of the limitations of the conclusions derived from the economic theory, but also provide theoretical support for helping enterprises improve their employee social network structures, promote knowledge sharing, and improve employee performance.

Employee performance can be divided into task performance and contextual performance (Granovetter, 1973; Uzzi, 1997). Task performance can be understood as job performance, that is, employees complete the work specified in their job descriptions. Contextual performance refers to employees’ pro-organizational behaviors, which are shown empirically to contribute to firm performance (Bormant & Motowidlo, 1993). The current mainstream of empirical research on employee performance is done by using the individual attributes of employee data. We adopt a new approach by adding social network characteristics in our social network analysis model on performance. The network characteristics used in this study are the degree centrality and betweenness centrality, extracted from the workplace social networks. Also, we include two individual attributes of the employee knowledge sharing behavior and IT capability.

Although social network analysis has been applied to assess performance (Ahuja et al., 2003; Cross & Cummings, 2004; Sparrowe, Liden, Wayne, & Kraimer, 2001; Waber, Olguin, Kim, & Pentland, 2010), integrating social network characteristics and individual attributes in the same model represents a novel approach. This research is a case study of an independent company of a large state-owned enterprise in China. Through the construction of the company's overall social networks and extraction of the individual network characteristics, we build a quantitative model to assess the relationships between social network characteristics, IT capability, knowledge sharing behavior, and performance. Based on the results, we articulate the theoretical and practical implications for advancing performance theory development, improving employee accomplishment, and enhancing a firm’s core competitiveness.

Complete Article List

Search this Journal:
Reset
Open Access Articles: Forthcoming
Volume 30: 4 Issues (2017)
Volume 29: 4 Issues (2016)
Volume 28: 4 Issues (2015)
Volume 27: 4 Issues (2014)
Volume 26: 4 Issues (2013)
Volume 25: 4 Issues (2012)
Volume 24: 4 Issues (2011)
Volume 23: 4 Issues (2010)
Volume 22: 4 Issues (2009)
Volume 21: 4 Issues (2008)
Volume 20: 4 Issues (2007)
Volume 19: 4 Issues (2006)
Volume 18: 4 Issues (2005)
Volume 17: 4 Issues (2004)
Volume 16: 4 Issues (2003)
Volume 15: 4 Issues (2002)
Volume 14: 4 Issues (2001)
Volume 13: 4 Issues (2000)
Volume 12: 4 Issues (1999)
Volume 11: 4 Issues (1998)
Volume 10: 4 Issues (1997)
Volume 9: 4 Issues (1996)
Volume 8: 4 Issues (1995)
Volume 7: 4 Issues (1994)
Volume 6: 4 Issues (1993)
Volume 5: 4 Issues (1992)
Volume 4: 4 Issues (1991)
Volume 3: 4 Issues (1990)
Volume 2: 4 Issues (1989)
Volume 1: 1 Issue (1988)
View Complete Journal Contents Listing