Open Source Adoption and Use: A Comparative Study Between Groups in the US and India

Open source software communities work in a loosely knit organizational structure that works primarily on the motivations of gift and contribution of source code. They communicate using modern Internet-based applications and organize themselves into self-guided virtual communities. Several methods of collaboration and development of intellectual property through software within these communities are quite unique and innovative. Current research effort mainly focused on understanding the individual motivations, collaboration mechanisms, and associated project management challenges of various OSS projects. However, as open source software usage moves mainstream and becomes more and more widespread, factors drive its diffusion and adoption deserve more research attention. Using the concepts of innovation adoption, we attempt to examine the possible drivers that influence adoption of open source software within different open source communities. In particular, the results from two user groups one from an OSS community in United States, one from an OSS community in India, are extensively compared and contrasted to gain better understanding of factors that lead to adoption and use of open source software.

[1]  Michael J. Gallivan,et al.  Striking a balance between trust and control in a virtual organization: a content analysis of open source software case studies , 2001, Inf. Syst. J..

[2]  Stefan Koch,et al.  Effort, co‐operation and co‐ordination in an open source software project: GNOME , 2002, Inf. Syst. J..

[3]  E. Burton Swanson,et al.  The diffusion of information centers: patterns of innovation adoption by professional subunits , 1992, SIGCPR '92.

[4]  Brian Fitzgerald,et al.  A framework analysis of the open source software development paradigm , 2000, ICIS.

[5]  L. G. Tornatzky,et al.  Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings , 1982, IEEE Transactions on Engineering Management.

[6]  Lawrence A. Brown,et al.  Innovation Diffusion: A New Perspective , 1982 .

[7]  Magnus Bergquist,et al.  The power of gifts: organizing social relationships in open source communities , 2001, Inf. Syst. J..

[8]  Lawrence A. Brown,et al.  Innovation Diffusion: A New Perspective , 1984 .

[9]  T. Cook,et al.  Quasi-experimentation: Design & analysis issues for field settings , 1979 .

[10]  Vijay Mahajan,et al.  New Product Diffusion Models in Marketing: A Review and Directions for Research: , 1990 .

[11]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[12]  R. Zmud,et al.  Information technology implementation research: a technological diffusion approach , 1990 .

[13]  L. Cronbach Coefficient alpha and the internal structure of tests , 1951 .

[14]  Audris Mockus,et al.  A case study of open source software development: the Apache server , 2000, Proceedings of the 2000 International Conference on Software Engineering. ICSE 2000 the New Millennium.

[15]  Brian Fitzgerald,et al.  Open Source Software the Trenches: Lessons from a Large-Scale OSS Implementation , 2003, ICIS.

[16]  Eric S. Raymond,et al.  The cathedral and the bazaar - musings on Linux and Open Source by an accidental revolutionary , 2001 .

[17]  Guido Hertel,et al.  Motivation of software developers in Open Source projects: an Internet-based survey of contributors to the Linux kernel , 2003 .

[18]  L. Delbeke Quasi-experimentation - design and analysis issues for field settings - cook,td, campbell,dt , 1980 .

[19]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..