Social Capital and Knowledge Integration in Digitally Enabled Teams

Robert, Lionel; Dennis, Alan R.; Ahuja, Manju

doi:10.1287/isre.1080.0177

Cited by 301 publications

(295 citation statements)

References 126 publications

(195 reference statements)

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“…Although previous research discussed team size, genders and time constraint may affect KI differently (e.g., Robert, Dennis, & Ahuja, 2008), in this research all those factors are the same. The differences in work experience and contact in daily work are control variables.…”

Section: Control Variablesmentioning

confidence: 85%

“…Another influential factor is social capital. Robert, Dennis, & Ahuja (2008) studied the performances appearing in 46 teams. The result shows that all three dimensions of their social capital (structural, relational, and cognitive) impact on KI.…”

Section: Knowledge Integration and Communicationmentioning

confidence: 99%

“…In MASI, forming KI for integrating multi-disciplinary knowledge is central to develop application software. Previous researchers have discussed many influential factors of KI in CFTs, such as social capital (Newell, Tansley, & Huang 2004;Robert, Dennis & Ahuja, 2008), common knowledge (Grant, 1996;Huang & Newell, 2003), knowledge relatedness (Nesta & Saviotti, 2006), past integration experience (Huang & Newell, 2003), and formal intervention (Okhuysen & Eisenhardt, 2002). However, research the relationship between communication and KI is rare.…”

mentioning

confidence: 99%

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The Influence of Communication on Knowledge Integration in CFTs: A Case of Chinese Mobile Applications Enterprise

Wang¹

2018

IJHRS

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We examine the relationship between communication and knowledge integration (KI) in the context of a cross-functional teams (CFTs). Although communication is one of the most important processes for integrating knowledge in CFTs, little research examines the relationship between them. We adopt both qualitative and quantitative research methods in a Chinese mobile applications enterprise. We find that team communication plays a key role in the KI of CFTs. Team members should have sufficient communication with each other for cross-functional activities. Also, communication network structure in an enterprise can influence KI. Thus, enterprises need to select suitable team members before the project begins for effective KI in CFTs.

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Section: Control Variablesmentioning

confidence: 85%

Section: Knowledge Integration and Communicationmentioning

confidence: 99%

mentioning

confidence: 99%

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The Influence of Communication on Knowledge Integration in CFTs: A Case of Chinese Mobile Applications Enterprise

Wang¹

2018

IJHRS

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“…Given that many IT professionals work in virtual collaborative environments, social networks can enhance their performance by overcoming the barriers of lean channels. Robert, Dennis, and Ahuja (2008) find that structural, relational, and cognitive social capital all facilitate knowledge integration and, among the three, structural capital is particularly helpful when the face-to-face communication channel is lacking. Similarly, Wasko and Faraj (2005) find that structural capital plays the most significant role in the knowledge exchange process.…”

Section: Social Network and Performancementioning

confidence: 92%

Social Network Position and Its Relationship to Performance of IT Professionals

Burton¹,

Prybutok

2010

InformingSciJ

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An important informing channel for information technology professionals and other knowledge workers is their social networks. Taking the perspective of the transdisciplinary social capital theory, this study explores the relationship between information technology professionals' social network positions and job performance. We operationalized their network positions as their network constraint, i.e., inability to bridge structural holes in social networks. Social network analysis on data collected from information technology professionals at a large defense company revealed a network woven by 371 people. Logistic regression results showed a significant, inverse relationship between performance and constraint. Therefore, network constraint appears to be an informer/client characteristic that influences his/her ability to take advantage of social networks as an informing channel and to improve performance.

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“…al., 2011;Chiu et. al., 2006;Hsu & Lin, 2008;Huysman & Wulf, 2006;Robert et. al., 2008;Staples & Webster, 2008;Teh & Yong, 2011;Teh & Sun, 2012).…”

Section: Factors Affect Sharing Knowledgementioning

confidence: 99%

Achieving successful knowledge sharing through enterprise social network collaboration

2017

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Social IntroductionMany public and private organizations are convinced with the value of social business collaboration due to their benefits. Recently, deployments of enterprise social networking platforms used for knowledge management have become ordinary. These platforms help to harness the knowledge of workers by serving as repositories of knowledge as well as directories of knowledge holders. Nevertheless, there is still a lack of literature on the understanding of how and what might be the contributions of social network in facilitating knowledge sharing.The problem facing the organization in attempting to increase knowledge sharing and reap the potential benefits of enterprise social network technologies lies in the successful implementation and maintenance of tools that allow sharing of user-generated content, while taking in consideration other factors, (an example would be when the adoption and implementation are maintained successfully, however, there is no push to use such technologies or there is lack of awareness of the benefits that may be collected). While many organizations are turning to enterprise social network technologies to enhance knowledge collaboration, not all embrace those technologies or realize the full benefits they can bring in part because of concerns about security and trust. These social technologies are increasingly entering the enterprise, involving complex social and behavioral aspects as well as an understanding of traditional technology acceptance factors (Andriole, 2010;Boh &Wong, 2013; Bulgurcu et.al., 2010;Jarvenpaa & Leidner, 1999).Organizations need to deal with several issues as follows: an increased adoption rate of technology and connectivity standards, the growing demand for corporate transparency and an increase in the amount of information generated and stored by employees. Through the existing IS literature there are different factors influencing the social networking platform such as human factors, technological factors, community and environments factors for organizations that are each necessary for understanding the causes of knowledge contributions and collaboration.

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Social Capital and Knowledge Integration in Digitally Enabled Teams

Cited by 301 publications

References 126 publications

The Influence of Communication on Knowledge Integration in CFTs: A Case of Chinese Mobile Applications Enterprise

The Influence of Communication on Knowledge Integration in CFTs: A Case of Chinese Mobile Applications Enterprise

Social Network Position and Its Relationship to Performance of IT Professionals

Achieving successful knowledge sharing through enterprise social network collaboration

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