"who is Key...?" - Characterizing Value Adding Users in Enterprise Social Networks

Whereas the use of Enterprise Social Networks (ESN) is a pervasive topic in research and practice, both parties are still struggling to come to a better understanding of the role and impact of ESN in and on knowledge-intensive corporate work. As a part of this phenomenon, employees who communicate their knowledge in ESN helping other users to do their daily work play a decisive role. We need to come to a better understanding of the role and behaviour of such value adding users. This is a prerequisite, for example, for understanding knowledge support hubs or for enabling more effective internal information and knowledge sharing. Against this background, we investigate the structural characteristics of value adding users in ESN using qualitative text analysis and Social Network Analysis. Based on a large scale dataset of a global consulting company using the ESN Yammer.com we analyse the social relationships of value adding users. We confirm their significant position and draw conclusions for research and practice.

[1]  L. Freeman Centrality in social networks conceptual clarification , 1978 .

[2]  Przemyslaw Kazienko,et al.  Key Person Analysis in Social Communities within the Blogosphere , 2012, J. Univers. Comput. Sci..

[3]  Matthew K. O. Lee,et al.  A theoretical model of intentional social action in online social networks , 2010, Decis. Support Syst..

[4]  J. Goldenberg,et al.  The Role of Hubs in the Adoption Process , 2009 .

[5]  J. Fleiss Measuring nominal scale agreement among many raters. , 1971 .

[6]  P. Bonacich Power and Centrality: A Family of Measures , 1987, American Journal of Sociology.

[7]  Alexander Richter,et al.  Methods And Metrics For Measuring The Success Of Enterprise Social Software - What We Can Learn From Practice And Vice Versa , 2013, ECIS.

[8]  Michael J. Muller,et al.  Return On Contribution (ROC): A Metric for Enterprise Social Software , 2009, ECSCW.

[9]  Yi Wang,et al.  Analyzing Communication Interaction Networks (CINs) in enterprises and inferring hierarchies , 2013, Comput. Networks.

[10]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[11]  Stephen P. Borgatti,et al.  Centrality and network flow , 2005, Soc. Networks.

[12]  D. Iacobucci Networks in Marketing , 1996 .

[13]  Jan U. Becker,et al.  Seeding Strategies for Viral Marketing: An Empirical Comparison , 2011 .

[14]  Steven B. Andrews,et al.  Structural Holes: The Social Structure of Competition , 1995, The SAGE Encyclopedia of Research Design.

[15]  Matthew B. Miles,et al.  Qualitative Data Analysis: An Expanded Sourcebook , 1994 .

[16]  Mor Naaman,et al.  Is it really about me?: message content in social awareness streams , 2010, CSCW '10.

[17]  Laurie E. Damianos,et al.  Factors impeding Wiki use in the enterprise: a case study , 2010, CHI Extended Abstracts.

[18]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[19]  Paul A. Pavlou,et al.  Visions and Voices on Emerging Challenges in Digital Business Strategy , 2013, MIS Q..

[20]  Samer Faraj,et al.  Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice , 2005, MIS Q..

[21]  Michael Trusov,et al.  Determining Influential Users in Internet Social Networks , 2010 .

[22]  Dragomir R. Radev,et al.  Identifying gene-disease associations using centrality on a literature mined gene-interaction network , 2008, ISMB.

[23]  Kate Ehrlich,et al.  Community insights: helping community leaders enhance the value of enterprise online communities , 2013, CHI.

[24]  N. Sadat Shami,et al.  We are all lurkers: consuming behaviors among authors and readers in an enterprise file-sharing service , 2010, GROUP '10.

[25]  Martin Bichler,et al.  Identification of influencers - Measuring influence in customer networks , 2008, Decis. Support Syst..

[26]  Stephen Shaoyi Liao,et al.  A graph-based action network framework to identify prestigious members through member's prestige evolution , 2012, Decis. Support Syst..

[27]  Gerhard Schwabe,et al.  Identifying Patterns of Idea Diffusion in Innovator Networks , 2013, ICIS.

[28]  Marshall W. Van Alstyne,et al.  How to Find Answers within Your Company , 2010 .

[29]  Cliff Lampe,et al.  The Benefits of Facebook "Friends: " Social Capital and College Students' Use of Online Social Network Sites , 2007, J. Comput. Mediat. Commun..

[30]  K. Riemer,et al.  Powercrowd: enterprise social networking in professional service work: a case study of Yammer at Deloitte australia , 2012 .

[31]  Werner Geyer,et al.  People Sensemaking and Relationship Building on an Enterprise Social Network Site , 2009, 2009 42nd Hawaii International Conference on System Sciences.

[32]  Scott A. Golder,et al.  Blogging at work and the corporate attention economy , 2009, CHI.

[33]  Florian Probst,et al.  Identifying Key Users in Online Social Networks: A PageRank Based Approach , 2010, ICIS.

[34]  Alexander Richter,et al.  Eliciting the Anatomy of Technology Appropriation Processes: a Case Study in Enterprise Social Media , 2012, ECIS.

[35]  Alexander Richter,et al.  The Contextual Nature Of Enterprise Social Networking: A Multi Case Study Comparison , 2013, ECIS.

[36]  Martin G. Everett,et al.  A Graph-theoretic perspective on centrality , 2006, Soc. Networks.

[37]  P. Bonacich Factoring and weighting approaches to status scores and clique identification , 1972 .

[38]  Steffen Staab,et al.  Social Networks Applied , 2005, IEEE Intell. Syst..

[39]  David Godes,et al.  Introduction to the Special Issue - Social Media and Business Transformation: A Framework for Research , 2013, Inf. Syst. Res..

[40]  Natasha F. Veltri,et al.  Investigation of the Network Construction Behavior on Social Networking sites , 2010, ICIS.

[41]  Hawoong Jeong,et al.  Comparison of online social relations in volume vs interaction: a case study of cyworld , 2008, IMC '08.

[42]  Mark Wallace,et al.  The Effects of the Social Structure of Digital Networks on Viral Marketing Performance , 2008 .

[43]  Christian Wagner,et al.  Weblogging: A study of social computing and its impact on organizations , 2008, Decis. Support Syst..

[44]  S. Borgatti,et al.  The Network Paradigm in Organizational Research: A Review and Typology , 2003 .

[45]  Darren Gergle,et al.  Organizational acculturation and social networking , 2011, CSCW.

[46]  Lynn Wu,et al.  Social Network Effects on Productivity and Job Security: Evidence from the Adoption of a Social Networking Tool , 2012, Inf. Syst. Res..

[47]  M. Sarvary,et al.  Network Effects and Personal Influences: The Diffusion of an Online Social Network , 2011 .

[48]  Kate Ehrlich,et al.  Diversity among enterprise online communities: collaborating, teaming, and innovating through social media , 2012, CHI.

[49]  Mark Wallace,et al.  The Effects of the Social Structure of Digital Networks on Viral Marketing Performance , 2008, Inf. Syst. Res..

[50]  Alexander Richter,et al.  Success Measurement of Enterprise Social Networks , 2013, Wirtschaftsinformatik.

[51]  Stephen P. Borgatti,et al.  Identifying sets of key players in a social network , 2006, Comput. Math. Organ. Theory.

[52]  Lisa Kaati,et al.  Social positions and simulation relations , 2011, Social Network Analysis and Mining.

[53]  Robert E. Kraut,et al.  Editorial Overview - The Interplay Between Digital and Social Networks , 2008, Inf. Syst. Res..

[54]  L. Freeman,et al.  Centrality in social networks: ii. experimental results☆ , 1979 .

[55]  Matthias Trier,et al.  Research Note - Towards Dynamic Visualization for Understanding Evolution of Digital Communication Networks , 2008, Inf. Syst. Res..

[56]  Mark J. Safferstone Information Rules: A Strategic Guide to the Network Economy , 1999 .

[57]  Samer Faraj,et al.  Lurking: Legitimate or Illegitimate Peripheral Participation? , 2006, ICIS.

[58]  Michael J. Brzozowski WaterCooler: exploring an organization through enterprise social media , 2009, GROUP.

[59]  Lada A. Adamic,et al.  Friends and neighbors on the Web , 2003, Soc. Networks.

[60]  Jim Giles,et al.  Computational social science: Making the links , 2012, Nature.

[61]  Michael J. Muller,et al.  Motivations for social networking at work , 2008, CSCW.

[62]  S. Kiesler,et al.  Applying Common Identity and Bond Theory to Design of Online Communities , 2007 .

[63]  Alexander Richter,et al.  Oh, SNEP! The Dynamics of Social Network Emergence-the case of Capgemini Yammer , 2012 .

[64]  Jun Zhang,et al.  A case study of micro-blogging in the enterprise: use, value, and related issues , 2010, CHI.

[65]  Yunjie Calvin Xu,et al.  AIS Electronic Library (AISeL) , 2022 .

[66]  Georg von Krogh,et al.  How does social software change knowledge management? Toward a strategic research agenda , 2012, J. Strateg. Inf. Syst..

[67]  Ann Majchrzak,et al.  Knowledge Collaboration in Online Communities , 2011, Organ. Sci..

[68]  Franz Lehner,et al.  Measuring Knowledge Management Success: Development and Test of a Theory-Based Measuring Model , 2011, it Inf. Technol..

[69]  Scott A. Golder,et al.  Structural Predictors of Tie Formation in Twitter: Transitivity and Mutuality , 2010, 2010 IEEE Second International Conference on Social Computing.

[70]  Wil M. P. van der Aalst,et al.  Mining Social Networks: Uncovering Interaction Patterns in Business Processes , 2004, Business Process Management.