@article {1865,
	title = {The Effects of Diversity in Global, Distributed Collectives: A Study of Open Source Project Success},
	journal = {Information Systems Research},
	volume = {24},
	year = {2013},
	month = {06/2013},
	pages = {312 - 333},
	abstract = {Diversity is a defining characteristic of global collectives facilitated by the Internet. Though substantial evidence suggests that diversity has profound implications for a variety of outcomes including performance, member engagement, and withdrawal behavior, the effects of diversity have been predominantly investigated in the context of organizational workgroups or virtual teams. We use a diversity lens to study the success of nontraditional virtual work groups exemplified by open source software (OSS) projects. Building on the diversity literature, we propose that three types of diversity (separation, variety, and disparity) influence two critical outcomes for OSS projects: community engagement and market success. We draw on the OSS literature to further suggest that the effects of diversity on market success are moderated by the application development stage. We instantiate the operational definitions of three forms of diversity to the unique context of open source projects. Using archival data from 357 projects hosted on SourceForge, we find that disparity diversity, reflecting variation in participants{\textquoteright} contribution-based reputation, is positively associated with success. The impact of separation diversity, conceptualized as culture and measured as diversity in the spoken language and country of participants, has a negative impact on community engagement but an unexpected positive effect on market success. Variety diversity, reflected in dispersion in project participant roles, positively influences community engagement and market success. The impact of diversity on market success is conditional on the development stage of the project. We discuss how the study{\textquoteright}s findings advance the literature on antecedents of OSS success, expand our theoretical understanding of diversity, and present the practical implications of the results for managers of distributed collectives.},
	issn = {1526-5536},
	doi = {10.1287/isre.1120.0435},
	author = {Sherae Daniel and Ritu Agarwal and Stewart, Katherine J.}
}
@conference {1375,
	title = {The Effects of Diversity in Global, Distributed Collectives: A Study of Open Source Project Success},
	booktitle = {Information Systems Research},
	year = {2012},
	abstract = {Diversity is a defining characteristic of global collectives facilitated by the Internet. Though substantial evidence suggests that diversity has profound implications for a variety of outcomes including performance, member engagement, and withdrawal behavior, the effects of diversity have been predominantly investigated in the context of organizational workgroups or virtual teams. We use a diversity lens to study the success of non-traditional virtual work groups exemplified by open source software (OSS) projects. Building on the diversity literature, we propose that three types of diversity (separation, variety and disparity) influence two critical outcomes for OSS projects: community engagement and market success. We draw on the OSS literature to further suggest that the effects of diversity on market success are moderated by the application development stage. We instantiate the operational definitions of three forms of diversity to the unique context of open source projects. Using archival data from 357 projects hosted on SourceForge, we find that disparity diversity, reflecting variation in participants{\textquoteleft} contribution-based reputation, is positively associated with success. The impact of separation diversity, conceptualized as culture and measured as diversity in the spoken language and country of participants, has a negative impact on community engagement but an unexpected positive effect on market success. Variety diversity, reflected in dispersion in project participant roles, positively influences community engagement and market success. The impact of diversity on market success is conditional on the development stage of the project. We discuss how the study{\textquoteleft}s findings advance the literature on antecedents of OSS success, expand our theoretical understanding of diversity, and present the practical implications of the results for managers of distributed collectives.},
	keywords = {diversity, global collectives, open source software},
	attachments = {https://flosshub.org/sites/flosshub.org/files/isr_2012.pdf},
	author = {Daniel, Sherae L. and Ritu Agarwal and Stewart, Katherine J.}
}
@conference {1258,
	title = {Exploring Complexity in Open Source Software: Evolutionary Patterns, Antecedents, and Outcomes},
	booktitle = {2010 43rd Hawaii International Conference on System Sciences (HICSS 2010)},
	year = {2010},
	note = {"The sample of projects was drawn from SourceForge"
"projects were selected that were built with C++."
"Applying the selection criteria generated a total of 108 projects for analysis"
"Scientific Toolwork{\textquoteright}s Understand (version 1.4)"},
	pages = {1 - 11},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Honolulu, Hawaii, USA},
	abstract = {Software complexity is important to researchers and managers, yet much is unknown about how complexity evolves over the life of a software application and whether different dimensions of software complexity may exhibit similar or different evolutionary patterns. Using cross-sectional and longitudinal data on a sample of 108 open source projects, this research investigated how the complexity of open source project releases varied throughout the life of the project. Functional data analysis was applied to the release histories of the projects and recurring evolutionary patterns were derived. There were projects that saw little evolution, according to their measures of size and structural complexity. However, projects that displayed some evolution often differed on the pattern of evolution depending on whether size or structural complexity was examined. Factors that contribute to and result from the patterns of complexity were evaluated, and implications for research and practice are presented.},
	keywords = {complexity, evolution, fda, life cycle, sourceforge, srda},
	isbn = {978-1-4244-5509-6},
	doi = {10.1109/HICSS.2010.198},
	attachments = {https://flosshub.org/sites/flosshub.org/files/10-07-02.pdf},
	author = {Darcy, David P. and Daniel, Sherae L. and Stewart, Katherine J.}
}
@article {2006,
	title = {Opportunities and Challenges Applying Functional Data Analysis to the Study of Open Source Software Evolution},
	journal = {Statistical Science},
	volume = {21},
	number = {2},
	year = {2006},
	note = {"As part of a larger project, data were collected on 105 OSS	projects hosted online at Sourceforge (sf.net)." "...we limited our data collection to projects that use only the Java programming language and were listed in the Internet and System Networking domains." "... only including these projects that use an OSI approved license..." "had to have posted at least one file on the Sourceforge site as of the time of our initial project selection Fall 2002" "Data were collected on the published release history of each project thatmet the screening criteria. Each release of each project was
analyzed to calculate CplXLCoh. The size of each release was measured using a calculation of the number of lines of code (LOC)"},
	pages = {167-178},
	publisher = {Institute of Mathematical Statistics},
	abstract = {This paper explores the application of functional data analysis (FDA) as a means to study the dynamics of software evolution in the open source context. Several challenges in analyzing the data from software projects are discussed, an approach to overcoming those challenges is described, and preliminary results from the analysis of a sample of open source software (OSS) projects are provided. The results demonstrate the utility of FDA for uncovering and categorizing multiple distinct patterns of evolution in the complexity of OSS projects. These results are promising in that they demonstrate some patterns in which the complexity of software decreased as the software grew in size, a particularly novel result. The paper reports preliminary explorations of factors that may be associated with decreasing complexity patterns in these projects. The paper concludes by describing several next steps for this research project as well as some questions for which more sophisticated analytical techniques may be needed.},
	keywords = {complexity, evolution, fda, java, lines of code, loc, release history, scm, size, sourceforge},
	issn = {08834237},
	url = {http://www.jstor.org/stable/27645747},
	author = {Stewart, Katherine J. and Darcy, David P. and Daniel, Sherae L.}
}
@conference {Stewart:2005:PAI:1042438.1043100,
	title = {A Preliminary Analysis of the Influences of Licensing and Organizational Sponsorship on Success in Open Source Projects},
	booktitle = {Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 07},
	series = {HICSS {\textquoteright}05},
	year = {2005},
	note = {"Publicly available data on open source projects registered on the Freshmeat website (www.freshmeat.net) was used to test the hypotheses. Data was collected from each project{\textquoteright}s Freshmeat website at the start and end of an eight month period (March - December 2002)."
"We first selected three project categories from which to draw our sample. These were utilities, software development, and games."
"Within these categories we further differentiated between new projects, which had been registered on the site within the two weeks prior to our first data collection point and older projects that had been registered more than two weeks prior to our initial data collection."
},
	month = {2005},
	pages = {1-10},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Washington, DC, USA},
	abstract = {This paper develops and tests a model of the impact of	licensing restrictiveness	and	organizational sponsorship on the popularity and vitality of open source software (OSS) development projects. Using data gathered from Freshmeat.net and OSS project home pages the main conclusions derived from the analysis are that organizational sponsorship has a positive effect on project popularity by easing user concerns about cost and quality and that license restrictiveness may have a negative effect on popularity by reducing the perceived utility of open source software. Theoretical and practical implications are discussed, and the paper outlines several avenues for future research.},
	keywords = {contributors, developers, freshmeat, license analysis, licensing, metadata, popularity, restrictive, users},
	isbn = {0-7695-2268-8-7},
	doi = {http://dx.doi.org/10.1109/HICSS.2005.38},
	url = {http://dx.doi.org/10.1109/HICSS.2005.38},
	author = {Stewart, Katherine J. and Ammeter, Anthony P. and Maruping, Likoebe M.}
}
@conference {stewart2002an-explorat,
	title = {An Exploratory Study of Factors Influencing the Level of Vitality and Popularity of Open Source Projects},
	booktitle = {ICIS 2002. Proceedings of International Conference on Information Systems 2002},
	year = {2002},
	note = {"We are currently tracking publicly available data on 240 open source projects registered on the freshmeat Website." "First, we randomly selected a total of 120 projects from the utilities, software development, and games and entertainment areas. We then selected 120 projects from these forums that had been registered on the site during the two weeks prior to the start of our data collection effort."},
	month = {2002},
	pages = {1-5},
	abstract = {In this research, we ask the question: What differentiates successful from unsuccessful open source software projects? Using a sample of 240 open source projects, we examine how organizational sponsorship, target audience (developer versus end user), license choice, and development status interact over time to influence the extent to which open source software projects attract user attention and developer activity.},
	keywords = {activity, audience, developers, freshmeat, license analysis, licenses, organizational sponsorship, project success, roles, status, target audience, users},
	author = {Stewart, Katherine J. and Ammeter, Tony}
}
