Network tie structure causing OSS group innovation and growth
-
DOIhttp://dx.doi.org/10.21511/ppm.15(1).2017.01
-
Article InfoVolume 15 2017, Issue #1, pp. 7-18
- Cited by
- 1551 Views
-
341 Downloads
This work is licensed under a
Creative Commons Attribution-NonCommercial 4.0 International License
Open source software (OSS) development as an inexpensive process to develop software threatens proprietary software business strategies. Providing business strategy to benefit from volunteer developers for the purpose of contributing to existing projects, as well as initiating new OSS projects is of utmost significance for companies in that industry. Therefore, it is important to figure out how groups of volunteer developers are formed as new developers join existing projects, and it is even more important to investigate what causes these developers to initiate new projects. The authors investigate network structure as a causal factor for both new project initiation within a group (representing group innovation) as well as new developers joining existing projects within a group (representing group growth). The authors develop four hypotheses:
1. Intra-group coupling has a positive impact on group growth,
2. Inter-group coupling has a positive impact on group innovation,
3. Inter-group structural hole has a positive impact on group innovation,
4. There is a trade-off between the effects of inter-group structural hole and inter-group coupling on group innovation.
The authors test these four hypotheses using data from OSS. Developers contributing to project tasks in groups other than their own can explore novel ideas for new project creation, because they can benefit from sharing knowledge, whereas developers contributing to project tasks inside their own group exploit ideas to improve those existing projects with better inside-group search possibility; and this demands more developers to join those group projects.
- Keywords
-
JEL Classification (Paper profile tab)D85, L14, O31
-
References34
-
Tables6
-
Figures7
-
- Fig. 1. Illustration of both weak and strong ties within and between two groups
- Fig. 2. Illustration of structural holes
- Fig. 3. Illustration of theory design on the impact of the three constructs (intra-group coupling and inter-group coupling, as well as inter-group structural holes) on group growth and innovation
- Fig. 4. Illustration of a,b) shared users implying one developer contributing to similar or different tasks and different projects intra or inter groups, c,d) shared projects implying one project contributed by the same or different developers and differe
- Fig. 5. Illustration of group of OSS developers co-working on some project tasks from the same group or two connected groups
- Fig. 6. Illustration of growth and innovation as results of intra-, inter-group couplings and structural holes
- Fig. 7. Illustration of strategy options to augment the group innovation
-
- Table 1. Factors influencing developers to join projects or initiate new projects
- Table 2. Terminology
- Table 3. List of variables
- Table 4. Number of new developers (dependent variable) as a function of independent and control variables
- Table 5. Number of new projects (dependent variable) as a function of independent and control variables
- Table 6. Correlation matrix
-
- Ahuja, G. (2000). Collaboration networks, structural holes, and innovation: A longitudinal study, Administrative Science Quarterly, 45, pp. 425-455.
- Antwerp, M.V. and Madey, G. (2010). The Importance of Social Network Structure in the Open Source Software Developer Community, The 43 Hawaii International Conference on System Science, Big Island, Hawaii.
- Behfar, S.K. and Behfar, Q. (2016). Intragroup density predicting intergroup tie strength within open-source-software collaboration network, Distributed Computing and Artificial Intelligence, 13th International Conference, pp. 165-173.
- Benkler, Y. (2006). The wealth of networks: How social production transforms markets and freedom, Yale university press, New Haven, CT.
- Borgatti and Foster. (2003). The network paradigm in organizational research: a review and typology, Journal of Management, 29 (6), pp. 991-1013.
- Burt, R.S. (1992). Structural Holes, Cambridge, Mass.: Harvard University Press.
- Burt, R.S. (2000). “The network structure of social capital”, in R.I. Sutton and B.M. Staw (eds). Research in Organizational Behavior, Greenwich, Conn.: JAI Press, pp. 345-423.
- Burt, R.S. (2002). The social capital of structural holes”, in M.F. Guillén, R.Collins, P.England, M.Meyer (eds); The New Economic Sociology, New York: Russell Sage Foundation. pp. 148-192.
- Coleman, J.S. (1988). Social capital in the creation of human capital, The American Journal of Sociology, 94, pp. S95-S120.
- Crowston, K., Annabi, H. and Howison, J. (2003). Defining open source software project success, Paper presented at the 24th International Conference on Information Systems (ICIS), Seattle, pp. 1-14
- Granovetter, M. (1973). The strength of weak ties, American Journal of Sociology, 78, pp. 1360-1380.
- Grewal, R., Lilien, G.L. and Mallapragada, G. (2006). Location, location, location: how network embeddedness affects project success in open source systems, Management Science, 52 (7), pp. 1043-1056.
- Hahn, J., Moonm, J.Y. and Zhang, C. (2008). Emergence of new project teams from open source software developer networks: Impact of prior collaboration ties, Information System Research, 19, pp. 369-391.
- Hansen, M.T. (1999). The search-transfer problem: the role of weak ties in sharing knowledge across organization units, Administrative Science Quarterly, 44, pp. 82-111.
- Hinds, D. and Lee, R.M. (2008). Social network structure as a critical success condition for virtual communities, The 41 Hawaii International Conference on System Science, Big Island, Hawaii.
- Jackson, M.O. and Wolinsky, A. (1996). A strategic model of social and economic networks, Journal of Economic Theory, 71, pp. 44-74.
- Jackson, M.O. (2004). A survey of models of network formation: stability and efficiency, In G.Demange and M.Wooders (eds.), Group Formation in Economics: Networks, Clubs and Coalitions. Cambridge: Cambridge University Press, pp. 1-62.
- Kogut, B. (2000). The network as knowledge: generative rules and the emergence of structure, Strategic Management Journal, 21 (3), pp. 405-425.
- Lefebvre, V.M., Sorenson, D., Henchion, M. and Gellynck, X. (2016). Social capital and knowledge sharing performance of learning networks, International Journal of Information Management, 36 (4), pp. 570-579.
- Montazemi, A.R., Siam, J.J. and Esfahanipour. (2008). Effect of network relations on the adoption of electronic trading systems, Journal of Management Information Systems, 25, pp.233-266.
- Mockus, A., Fielding, R.T. and Herbsleb, J.S. (2002). Two case studies of open source software development: Apache and Mozilla, ACM Transactions on Software Engineering and Methodology, 11 (3) pp. 309-346.
- Newman, M.E.J. (2004). Detecting community structure in networks, The European Physical Journal B, 38 (2), pp. 321-330.
- Riehle, D. (2015). How open source is changing the software developer’s career. IEEE Computer, 48 (5), pp. 51-57.
- Simon, H.A. (1962). The architecture of complexity, Proceedings of American Philosophical Society, 106 (6), pp. 462-482.
- Singh, P.V., Tan, Y. and Mookerjee, V. (2011). Network effects: The influence of social capital on open source project success, MIS Quarterly, 35 (4), pp. 813-829.
- Stadler, C., Rajwani, T. and Karaba, F. (2014). Solutions to the exploration/exploitation dilemma: networks as a new level of analysis, International Journal of Management Reviews, 16, pp.172-193.
- Tedeschi, G., Vitali, S. and Gallegati, M. (2014). The dynamic of innovation networks: a switching model on technological change, Journal of Evolutionary Economics, 24 (4), pp. 817-834.
- Tsai, W. (2000). Social capital, strategic relatedness and the formation of intraorganizational linkages, Strategic Management Journal, 21 (9), pp. 925-939.
- Tsai, W. (2001). Knowledge transfer in intra-organizational networks: effects of network position and absorptive capacity on business unit innovation and performance, Academy of Management Journal, 44 (5), pp. 996-1004.
- Von Hippel, E. (2001). Innovation by user communities: learning from open-source software, Sloan Review, 42 (4), pp. 82-86.
- Walker, G., Kogut, B. and Shan, W.J. (1997). Social capital, structural holes and the formation of an industry network, Organization Science, 8 (2), pp. 109-125.
- Wang, J. (2007). The role of social networks in the success of open-source-software systems: a theoretical framework and an empirical investigation, PhD Thesis at Kent State University Graduate School of Management.
- Weick, K. (1976). Educational organizations as loosely coupled systems, Administrative Science Quarterly, 21, pp.1-18.
- Williamson, O.E. (1975). Markets and hierarchies: Analysis and antitrust implications, New York: The Free Press.