This paper develops an inductive theory of the open source software innovation process by focussing on the creation of Freenet, a project aimed at developing a decentralized and anonymous peer-to-peer electronic file sharing network. We are particularly interested in the strategies and processes by which new people join the existing community of software developers, and how they initially contribute code. Analyzing data from multiple sources on the Freenet software development process, we generate the constructs of "joining script",

Information systems success is one of the most widely used dependent variables in information systems research. In this paper, we identify a range of measures that can be used to assess the success of open source software (OSS) projects. We identify measures based on a review of the literature, a consideration of the OSS development process and an analysis of the opinions of OSS developers. For each measure, we provide examples of how they might be used in a study of OSS development.

The focus of this paper is to review what is known about free and open source software development (FOSSD) work practices, development processes, project and community dynamics, and other socio-technical relationships. It focuses on exploring how FOSS is developed and evolved based on an extensive review of a set of empirical studies of FOSSD projects that articulate different levels of analysis. These characterize what has been analyzed in FOSSD studies across levels that examine (i) why individuals participate; (ii) resources and capabilities supporting development activities; (iii) how cooperation, coordination, and control are realized in projects; (iv) alliance formation and inter-project social networking; (v) FOSS as a multi-project software ecosystem, and (vi) FOSS as a social movement. Next, there is a discussion of limitations and constraints in the FOSSD studies so far. Last, attention shifts to identifying emerging opportunities for future FOSSD studies that can give rise to the development of new software engineering tools or techniques, as well as to new empirical studies of software development.

Crowdsourcing is an online, distributed problem-solving and production model that has emerged in recent years. Notable examples of the model include Threadless, iStockphoto, Inno-

Turnover in online communities is very high, with most people who initially post a message to an online community never contributing again. In this paper, we test whether the responses that newcomers receive to their first posts influence the extent to which they continue to participate. The data come from initial posts made by 2,777 newcomers to six public newsgroups. We coded the content and valence of the initial post and its first response, if it received one, to see if these factors influenced newcomers' likelihood of posting again. Approximately 61% of newcomers received a reply to their initial post, and those who got a reply were 12% more likely to post to the community again; their probability of posting again increased from 44% to 56%. They were more likely to receive a response if the y asked a question or wrote a longer post. Surprisingly, the quality of the response they received---its emotional tone and whether it answered a newcomer's question---did not influence the likelihood of the newcomer's posting again.

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the state of the literature. We develop a framework for organizing the literature based on the input-mediatoroutput-input (IMOI) model from the small groups literature. We present a quantitative summary of articles selected for the review and then discuss findings of this literature categorized into issues pertaining to inputs (e.g., member characteristics, technology use and project characteristics), processes (software development and social processes), emergent states (e.g., trust and task related states) and outputs (e.g. team performance, FLOSS implementation and project evolution). Based on this review, we suggest topics for future research, as well as identifying methodological and theoretical issues for future inquiry in this area, including issues relating to sampling and the need for more longitudinal studies.

The paper discusses three key economic problems raised by the emergence of Open source: motivation, co-ordination, and diffusion.

This paper discusses in detail a possible methodology for collecting repository data on a large number of open source software projects from a single project hosting and community site. The process of data retrieval is described along with the possible metrics that can be computed and which can be used for further analyses. Example research areas to be addressed with the available data and first results are given. Then, both advantages and disadvantages of the proposed methodology are discussed together with implications for future approaches. 1.

Social networking sites (SNS) are only as good as the content their users share. Therefore, designers of SNS seek to improve the overall user experience by encouraging members to contribute more content. However, user motivations for contribution in SNS are not well understood. This is particularly true for newcomers, who may not recognize the value of contribution. Using server log data from approximately 140,000 newcomers in Facebook, we predict long-term sharing based on the experiences the newcomers have in their first two weeks. We test four mechanisms: social learning, singling out, feedback, and distribution. In particular, we find support for social learning: newcomers who see their friends contributing go on to share more content themselves. For newcomers who are initially inclined to contribute, receiving feedback and having a wide audience are also predictors of increased sharing. On the other hand, singling out appears to affect only those newcomers who are not initially inclined to share. The paper concludes with design implications for motivating newcomer sharing in online communities. Author Keywords Social network sites, SNS, online communities, motivating