scholarly journals A taxonomy for measuring the success of open source software projects

Author(s):  
Amir Hossein Ghapanchi ◽  
Aybuke Aurum ◽  
Graham Low

Open Source Software (OSS) has been widely adopted by organizations as well as individual users and has changed the way software is developed, deployed and perceived. Research into OSS success is critical since it provides project leaders with insights into how to manage an OSS project in order to succeed. However, there is no universally agreed definition of “success” and researchers employ different dimensions (e.g., project activity and project performance) to refer to OSS success. By conducting a rigorous literature survey, this paper seeks to take a holistic view to explore various areas of OSS success that have been studied in prior research. Finally it provides a measurement taxonomy including six success areas for OSS projects. Implications for theory and practice are presented.

Author(s):  
Matthias Müller ◽  
Wolfgang Vorraber ◽  
Wolfgang Slany

Open source software and open innovation are an important resource for today’s industries. Communities collaboratively create different kind of publicly available value, boosting innovation and also technology. However, whereas this value is generated and captured by various involved parties, the outcomes are, in many cases, commercialized by companies who build their business models on this openness. Thus, current business model representations used for these open systems mainly focus on the commercial side of companies, not directly regarding the value creation and distribution by the underlying communities. This results in a lack of potential representation of alternative value created by individuals and communities that are not necessarily aiming for direct monetary compensation. In this work, we show, by the example of open source projects, how communities create value and their potential to be represented by the upcoming domain of new business models. The emerging idea of new business models, based on sharing, collaboration, and the circular economy, not only considers economical viewpoints, but also social and ecological. New trends in research are intensively starting to investigate these models and how they can be brought to practice. The co-creation of value, collaboration of various actors, and following a shared vision are just some of the identified overlaps that are also essential for a potential representation of open communities. This first review unveils that new business models and open source software projects have a variety of aspects in common. We highlight the potential of open communities to be seen as new business models themselves, instead of just being a pure enabler for firms’ business models. This approach is leaving room to explore new organizational and economical aspects of open ecosystems, enhancing the understanding of co-creative communities and the definition of collaborative value.


Author(s):  
Huaiwei Yang ◽  
Shuang Liu ◽  
Lin Gui ◽  
Yongxin Zhao ◽  
Jun Sun ◽  
...  

2021 ◽  
Vol 5 (CSCW1) ◽  
pp. 1-28
Author(s):  
R. Stuart Geiger ◽  
Dorothy Howard ◽  
Lilly Irani

2009 ◽  
Vol 78 (7) ◽  
pp. 457-472 ◽  
Author(s):  
Balaji Janamanchi ◽  
Evangelos Katsamakas ◽  
Wullianallur Raghupathi ◽  
Wei Gao

2016 ◽  
Vol 24 (4) ◽  
pp. 22-44 ◽  
Author(s):  
Jing Wu ◽  
Khim-Yong Goh ◽  
He Li ◽  
Chuan Luo ◽  
Haichao Zheng

Drawing on the theoretical lens of communication patterns in organizational theory, this research analyzed the longitudinal success of open source software (OSS) projects by employing social network analysis method, based on extensive analyses of empirical data. This study is expected to provide an understanding on how communication patterns established in different roles and different levels. The authors not only measured OSS success from both developers and users' perspectives, but also extended the existing research by including the potential relationships among these success measures in the estimation model. Following the panel data econometric analysis methodology, they evaluated their research hypotheses using the Three-Stage Least Squares model, accounting for both time-period and project fixed effects. The authors' results indicated that according to the objectives of projects, a proper and planned control for the communication among team members is crucial for the success of OSS projects.


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