scholarly journals Employee Social Network Strategies: Implications for Firm Strategies and Performance in Future Organizations

2021 ◽  
Vol 12 ◽  
Author(s):  
Monica Thiel

Employee social network strategies play a key role in firm strategies and organizational performance. Currently, scholars underestimate the contributions of employee social strategies in firm strategies. Little is known how informal employee social networks, group entitativity and competition could shape and direct firm strategies and organizational performance. The article examines social network theory and strategic management’s content, process and open schools of thought to propose a new interpretation for managing firm strategies. More specifically, the author examines alternate causal paths, underlying processes and structures as mechanisms in employee social network strategies within a theoretical framework. The article proposes 4 theoretically driven propositions and makes two contributions. First, the article contributes to organizational behavior literature by focusing on the literature gap in network dynamics and competitive actions through employee social networks. Second, although there is immense literature on positive and negative employee competition in business, the article makes a contribution to the strategic management literature by moving beyond formalized structures and roles within an organization to focus on the multilevel informal workplace social interactions and processes that impact strategizing activities. Overall, the article extends strategy research in relation to how employee social networks operate through competition and group entitativity in firm strategies.

Author(s):  
Daniel J. Brass

This review of social network analysis focuses on identifying recent trends in interpersonal social networks research in organizations, and generating new research directions, with an emphasis on conceptual foundations. It is organized around two broad social network topics: structural holes and brokerage and the nature of ties. New research directions include adding affect, behavior, and cognition to the traditional structural analysis of social networks, adopting an alter-centric perspective including a relational approach to ego and alters, moving beyond the triad in structural hole and brokerage research to consider alters as brokers, expanding the nature of ties to include negative, multiplex/dissonant, and dormant ties, and exploring the value of redundant ties. The challenge is to answer the question “What's next in social network analysis?” Expected final online publication date for the Annual Review of Organizational Psychology and Organizational Behavior, Volume 9 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2015 ◽  
Vol 6 (3) ◽  
pp. 335-346
Author(s):  
Xi Zhan ◽  
Choon-kwang Kim

Purpose – This paper aims to set social network, which is recently drawing the most attention in the business administration field, as a major dependent variable of political skill. It is because social network plays a very important role in improving the productivity and performance of firms, and, in actuality, many researches have proved that social network greatly contributes to firm performance. Design/methodology/approach – Researches into social network have not yet established that “through what” or “how” social network can be formed and affected. Findings – In this study, the authors attempt to connect social network with political skill, which is a cause variable. Originality/value – This approach will give us a better understanding on the formation of social networks and its relationship with political skill, and so eventually, such negative recognition about the politics can be viewed from a different sight of angle.


2014 ◽  
Vol 43 (3) ◽  
pp. 330-349 ◽  
Author(s):  
Kaisa Henttonen ◽  
Jan-Erik Johanson ◽  
Minna Janhonen

Purpose – The focus in this paper is on the extent to which bonding and bridging social relationships predict the performance effectiveness and attitudinal (identity) outcomes. Design/methodology/approach – The research was survey-based, involving 76 work teams and a total of 499 employees in 48 organisations. Findings – The analysis reveals a positive relationship between both bonding and bridging relationships and performance effectiveness and attitudinal outcomes. Team identity mediates the relationship between the team ' s social-network structure and its performance effectiveness. Research limitations/implications – The research investigates the performance effectiveness and attitudinal outcomes of social networks simultaneously, which is rare, but for study-design reasons fails to investigate behavioural outcomes. More extensive data would reveal more about the possible interaction between bridging and bonding. Practical implications – In order to improve performance effectiveness managerial attention should focus on building a team and social networks. Originality/value – The research shows that team identity fully mediates the influence of bonding and bridging social relationships. This finding sheds light on the processes that mediate performance effectiveness, which in turn facilitate understanding of how team dynamics lead to differing performance levels. The results also reveal how the type of social network affects the creation of a team identity: individuals identify with the team through the social networks to which they belong both within it and outside. Thus, team identity matters given the evidence suggesting that those who identify more with their work teams perform more effectively.


In today's de-layered, knowledge-intensive organizations, most work of importance is heavily reliant on informal networks of employees within organizations. However, most organizations do not know how to effectively analyze this informal structure in ways that can have a positive impact on organizational performance. Networks in the Knowledge Economy is a collection of readings on the application of social network analysis to managerial concerns. Social network analysis (SNA), a set of analytic tools that can be used to map networks of relationships, allows one to conduct very powerful assessments of information sharing within a network with relatively little effort. This approach makes the invisible web of relationships between people visible, helping managers make informed decisions for improving both their own and their group's performance. Networks in the Knowledge Economy is specifically concerned with networks inside of organizations and addresses three critical areas in the study of social networks: Social Networks as Important Individual and Organizational Assets, Social Network Implications for Knowledge Creation and Sharing, and Managerial Implications of Social Networks in Organizations. Professionals and students alike will find this book especially valuable, as it provides readings on the application of social network analysis that reflect managerial concerns.


Author(s):  
Burçin Güçlü ◽  
Miguel Ángel Canela ◽  
Inés Alegre

Social network analysis has been widely used by organizational behavior researchers to stress the importance of the context, social connections, and social structure on human behavior. In the last decade, social network analysis has emerged as one of the most useful techniques for exploring online social networks, world wide web, e-mail traffic, and logistic operations. In this chapter, the authors present an application of social network analysis techniques for academic research. The authors choose Kahneman and Tversky's prospect theory as the focus of their analysis and, based on that, develop a co-authorship structure that depicts in a clear manner the key authors and/or the researchers that dominate and bridge different sub-fields in the field of management. The authors discuss the implications of this study for academic research and management discipline.


Author(s):  
Mohcine Kodad

This paper presents a study that contributes to the existing work on the social diffusion and interaction strategy in social media. The aim is to know the most shared post by some electronic media in the world from end to end social network, and also to know post nature of the most successful one, and the link between different kind of interaction these are main objectives of this study. Our work is also considered as a ground and a base for social network analysis researchers in all social networks in order to allow them to benefit and help in their future research work from all information collected and results found via this study. An empirical analysis using multiple methods is conducted based on 275 Facebook publications gathered from the Facebook pages of 5 electronics journals the best one in its original country represented 5 countries in the world. This contribution discovered a set of important information and it is also projected to confirm hypothesis addressed in pre-existing studies


2016 ◽  
Vol 27 (2) ◽  
pp. 225-248 ◽  
Author(s):  
Martijn Jungst ◽  
Boris Blumberg

Purpose Guided by social resource theory, this study aims to examine the influence of conflict (i.e. task and relationship) on performance. The authors investigated whether job engagement mediates this relationship and whether social network quality moderates the relationship between conflict, job engagement and performance. Design/methodology/approach The authors built and tested a moderated mediation model, using data from 217 graduate students. Findings Results showed that job engagement operates as a mediating mechanism between task conflict and performance. The authors also found that the indirect effect of job engagement depended upon the quality of the social networks. When the quality of the social network was high, both the task and relationship conflict did not negatively influence the association between job engagement and performance. Research limitations/implications These findings provide new insights into how social embeddedness in the form of social network quality can create a social context in which conflict works out less detrimental. Practical implications Given that employees are interdependent and coworkers are likely to differ in their personal values and opinions, the authors conclude that managers should facilitate the development of meaningful relationships at work. Originality/value Whereas prior research has found conflict (i.e. task and relationship) to negatively associate with performance, the authors show that social networks do affect the strength of the relationship between conflict (i.e. task and relationship) and performance.


Author(s):  
Sonja Opper

AbstractAlmost two decades ago, Asia Pacific Journal of Management, 19(2/3): 251–267 Peng (2002) called attention to the promise of institution-based strategy research. The puzzle was to explain differences in strategies around the globe. Building on the work accomplished so far, I ask: Can institution-based strategy succeed when embedded in inappropriate social networks? Institutions and networks are usually studied as separate phenomena, yet each also defines the capabilities of the other. Institutions shape social network contacts and structures because institutions define opportunities for affiliation and the relative value of distinct contacts and network structures. At the same time, social networks shape institutions and organizations’ capabilities for institutional innovation. Thus, the social network in which a manager or organization is embedded can either amplify or counteract success in implementing institution-based strategy. After I review the co-constitutional nature of institutions and networks and discuss a number of sample studies using China as a productive research site, I sketch questions that need to be answered to more tightly integrate network behavior into institutional strategy research, and discuss four emerging areas of research into how network-strategy fit affects performance: (1) network fit to adaptive strategy, (2) network fit to change strategy, (3) institutional dynamics and network-strategy fit, and (4) institutional distance and network-strategy fit.


2019 ◽  
Vol 1 (3) ◽  
pp. 928-944 ◽  
Author(s):  
Nicholas Ampazis ◽  
Theodoros Emmanouilidis ◽  
Flora Sakketou

In recent years the emergence of social media has become more prominent than ever. Social networking has become the de facto tool used by people all around the world for information discovery. Consequently, the importance of recommendations in a social network setting has urgently emerged, but unfortunately, many methods that have been proposed in order to provide recommendations in social networks cannot produce scalable solutions, and in many cases are complex and difficult to replicate unless the source code of their implementation has been made publicly available. However, as the user base of social networks continues to grow, the demand for developing more efficient social network-based recommendation approaches will continue to grow as well. In this paper, following proven optimization techniques from the domain of machine learning with constrained optimization, and modifying them accordingly in order to take into account the social network information, we propose a matrix factorization algorithm that improves on previously proposed related approaches in terms of convergence speed, recommendation accuracy and performance on cold start users. The proposed algorithm can be implemented easily, and thus used more frequently in social recommendation setups. Our claims are validated by experiments on two real life data sets, the public domain Epinions.com dataset and a much larger dataset crawled from Flixster.com.


2013 ◽  
Vol 9 (3) ◽  
pp. 47-64 ◽  
Author(s):  
Pamela Schmidt ◽  
Sharath Sasidharan ◽  
Ronald Freeze

For sustained performance in a dynamic market environment, individuals within an organization must operate in a social network (SN) that promotes knowledge exchanges, encourages knowledge acquisition, and facilitates dissemination of domain knowledge pertinent to the execution of job-related tasks. Research on Knowledge Social Networks (KSN) has hitherto focused on interpersonal social network structures and its impact on knowledge outcomes with little attention being paid to the quality of domain knowledge possessed by knowledge sources and the value of resultant knowledge flows. This paper evaluates the quality of knowledge sources used in the social network by robustly measuring knowledge structures, the underlying foundation of conceptual knowledge. A field study of a simulated market environment with competing organizations found the KSN to be central in explaining organizational performance. However, its interplay with the domain knowledge structure of knowledge sources provided deeper insights into its link with organizational success.


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