@inbook {2015,
	title = {Open Source Technology Development},
	booktitle = {Handbook of Science and Technology Convergence},
	year = {2015},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-04033-2},
	doi = {10.1007/978-3-319-04033-2_29-1},
	attachments = {https://floss.syr.edu/sites/crowston.syr.edu/files/chp\%253A10.1007\%252F978-3-319-04033-2_29-1.pdf},
	author = {Kevin Crowston},
	editor = {Bainbridge, William Sims and Roco, Mihail C.}
}
@proceedings {2013,
	title = {Open Source Software Adoption: A Technological Innovation Perspective},
	year = {2013},
	month = {5/2013},
	address = {Lyon, France},
	abstract = {This research-in-progress aims to indentify the salient factors explaining adoption of open source software (OSS), as a technological innovation. The theoretical background of the paper is based on the technological innovation literature. We choose to focus on the open ERP case, as it is considered as a promising innovation for firms {\textendash} especially medium firms - but open ERP also faces numerous challenges. The paper provides a framework and a method for investigation that has to be implemented.},
	url = {http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2244222},
	author = {Kevin Crowston and Fran{\c c}ois Deltour and Nicolas Jullien}
}
@proceedings {Crowston:2008a,
	title = {Opportunities for eScience research on Free/Libre Open Source Software},
	year = {2008},
	address = {Oxford, England, 11-13 September},
	attachments = {https://floss.syr.edu/sites/crowston.syr.edu/files/Opportunities\%20for\%20eScience\%20research\%20on\%20Free.pdf},
	author = {Kevin Crowston and James Howison and Wiggins, Andrea}
}
@article {2006,
	title = {Open Source Data Sources},
	year = {2006},
	note = {James Howison presented a short tutorial on FLOSS data sources at the 2006 Academy of Management conference in Atlanta.},
	keywords = {FLOSS},
	attachments = {https://floss.syr.edu/sites/crowston.syr.edu/files/Howison_OpenSourceData_AcademyOpenSourcePDW2006.pdf},
	author = {James Howison}
}
@conference {2005,
	title = {OSSmole: A collaborative repository for FLOSS research data and analyses},
	booktitle = {1st International Conference on Open Source Software},
	year = {2005},
	address = {Genova, Italy},
	abstract = {This paper introduces a collaborative project, {\textquotedblleft}OSSmole{\textquotedblright}, designed to gather, share and store comparable data and analyses of free and open source software development for academic research. The project draws on the ongoing collection and analysis efforts of many research groups, reducing duplication, and promoting compatibility both across sources of FLOSS data and across research groups and analyses. The paper outlines current difficulties with the current typical quantitative FLOSS research process and uses these to develop requirements and presents the design of the system. },
	keywords = {FLOSSmole},
	attachments = {https://floss.syr.edu/sites/crowston.syr.edu/files/OSSmole\%20\%20A\%20collaborative\%20repository_0.pdf},
	author = {James Howison and Conklin, Megan S.}
}
@article {Crowston:2002,
	title = {Open source software projects as virtual organizations: Competency rallying for software development},
	journal = {IEE Proceedings Software},
	volume = {149},
	number = {1},
	year = {2002},
	pages = {3{\textendash}17},
	abstract = {The contribution of this paper is the identification and testing of factors important for the success of Open Source Software (OSS) projects. We present an analysis of OSS communities as virtual organizations and apply Katzy and Crowston{\textquoteright}s competency rallying (CR) theory to the case of OSS development projects. CR theory suggests that project participants must develop necessary competencies, identify and understand market opportunities, marshal competencies to meet the opportunity and manage a short-term cooperative process. Using data collected from 7477 OSS projects hosted by the SourceForge system (http://sourceforge.net/), we formulate and test a set of specific hypotheses derived from CR theory. The empirical data analysis supports the majority of these hypotheses, suggesting that CR theory provides a useful lens for studying OSS projects.},
	issn = {1462-5970 },
	doi = {10.1049/ip-sen:20020197},
	attachments = {https://floss.syr.edu/sites/crowston.syr.edu/files/iee2002.pdf},
	author = {Kevin Crowston and Scozzi, Barbara}
}
