Generative Diffusion of Innovations and Knowledge Networks in Open Source Projects

In this study, we conceptualize an open source community as a constellation of dynamic, multiple and heterogeneous informal knowledge networks. Generative artifact, open source software in our context, is embedded in multiple knowledge networks. Therefore, generative diffusion of innovation will be affected by these networks. We identify two types of knowledge networks, developer-project network and developer-developer network, which a developer can simultaneously belongs to. We argue that the two networks emphasized on different types of knowledge transfer, and have different effects on the generative diffusion of innovation. We propose our hypotheses and methodology to test our hypotheses. We also discuss future plan and expected contributions.

[1]  Daniel Z. Levin,et al.  The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer , 2004, Manag. Sci..

[2]  Youngjin Yoo,et al.  Digital Innovation and Organizational Genetics: The Case of Web APIs and Mashups , 2012 .

[3]  Ydd b.,et al.  Theories of Communication , 2015 .

[4]  Daniel A. Levinthal,et al.  Exploration and Exploitation in Organizational Learning , 2007 .

[5]  James D. Herbsleb,et al.  Social coding in GitHub: transparency and collaboration in an open software repository , 2012, CSCW.

[6]  Peter R. Monge,et al.  Theories of Communication Networks , 2003 .

[7]  M. Dupelj [On the theories of communication]. , 1966, Neuropsihijatrija.

[8]  R. Cross,et al.  THE STRENGTH OF WEAK TIES YOU CAN TRUST: THE MEDIATING ROLE OF TRUST IN EFFECTIVE KNOWLEDGE TRANSFER. , 2002 .

[9]  Andrew A. King,et al.  The Contingent Effect of Absorptive Capacity: An Open Innovation Analysis , 2011 .

[10]  Youngjin Yoo,et al.  Generative Diffusion of Innovations: An Organizational Genetics Approach , 2012, ICIS.

[11]  Albert A. Cannella,et al.  Social Capital and Knowledge Creation: Diminishing Returns of the Number and Strength of Exchange Relationships , 2004 .

[12]  Brian Fitzgerald,et al.  Why Hackers Do What They Do: Understanding Motivation and Effort in Free/Open Source Software Projects , 2007 .

[13]  Kalle Lyytinen,et al.  Wakes of Innovation in Project Networks: The Case of Digital 3-D Representations in Architecture, Engineering, and Construction , 2007, Organ. Sci..

[14]  Sebastian Spaeth,et al.  Code Reuse in Open Source Software , 2008, Manag. Sci..

[15]  Morten T. Hansen,et al.  Knowledge Networks: Explaining Effective Knowledge Sharing in Multiunit Companies , 2002 .

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

[17]  Yong Tan,et al.  Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube , 2012, Inf. Syst. Res..

[18]  J. March Exploration and exploitation in organizational learning , 1991, STUDI ORGANIZZATIVI.

[19]  Paul A. David,et al.  Dynamics of Innovation in an Open Source Collaboration Environment: Lurking, Laboring, and Launching Floss Projects on Sourceforge , 2007 .

[20]  Yutaka Yamauchi,et al.  Collaboration with Lean Media: how open-source software succeeds , 2000, CSCW '00.

[21]  Ramkrishnan V. Tenkasi,et al.  P ERSPECTIVE M AKING AND P ERSPECTIVE T AKING IN C OMMUNITIES OF K NOWING , 2000 .

[22]  W. Brian Arthur,et al.  The Nature of Technology: What it Is and How it Evolves , 2009 .

[23]  J. M. McPherson,et al.  Hypernetwork sampling: Duality and differentiation among voluntary organizations , 1982 .

[24]  Gary L. Lilien,et al.  Location, Location, Location: How Network Embeddedness Affects Project Success in Open Source Systems , 2006, Manag. Sci..

[25]  M. Tushman,et al.  Technological Discontinuities and Organizational Environments , 1986 .

[26]  A. Mockus,et al.  Large-Scale Code Reuse in Open Source Software , 2007, First International Workshop on Emerging Trends in FLOSS Research and Development (FLOSS'07: ICSE Workshops 2007).

[27]  E. Rogers,et al.  Diffusion of Innovations , 1964 .