@article {9998,
	title = {Group maintenance in technology-supported distributed teams},
	journal = {Information \& Management},
	volume = {51},
	year = {2014},
	month = {4/2014},
	pages = {297-309},
	abstract = {In this paper we investigate group maintenance behavior in community-based Free/Libre Open Source Software (FLOSS) development teams. Adopting a sociolinguistic perspective, we conceptualize group maintenance behavior as interpersonal communication tactics{\textemdash}specifically, social presence and politeness tactics{\textemdash}that help maintain relationships among group members. Developer email messages were collected from two FLOSS projects with different development status and content-analyzed to identify frequently-used group maintenance tactics. We then compared the two projects on the group maintenance tactics used, finding differences that reflect changes in the project work practices. Our work contributes theoretically to FLOSS research and has practical implications for FLOSS practitioners.},
	doi = {10.1016/j.im.2014.02.001},
	author = {Wei, Kangning and Kevin Crowston and Li, Na and Heckman, Robert}
}
@article {9999,
	title = {Using natural language processing for qualitative data analysis},
	journal = {International Journal of Social Research Methodology},
	volume = {15},
	year = {2012},
	month = {2012},
	chapter = {523-543},
	abstract = {Social researchers often apply qualitative research methods to study groups and their communications artefacts. The use of computer-mediated communications has dramatically increased the volume of text available, but coding such text requires considerable manual effort. We discuss how systems that process text in human languages (i.e., natural language processing, NLP) might partially automate content analysis by extracting theoretical evidence. We present a case study of the use of NLP for qualitative analysis in which the NLP rules showed good performance on a number of codes. With the current level of performance, use of an NLP system could reduce the amount of text to be examined by a human coder by an order of magnitude or more, potentially increasing the speed of coding by a comparable degree. The paper is significant as it is one of the first to demonstrate the use of high-level NLP techniques for qualitative data analysis.},
	keywords = {FLOSS, NLP},
	doi = {10.1080/13645579.2011.625764},
	author = {Kevin Crowston and Allen, Eileen E. and Heckman, Robert}
}
@unpublished {9999,
	title = {Decision-making processes and team performance in self-organizing virtual teams: The case of Free/Libre Open Source Software development teams},
	year = {2011},
	abstract = {Effective decision making is critical to team effectiveness. We examine decision making in the setting of self-organizing virtual teams, a setting that we expect to pose particular problems for effective decision making. A self-organizing team must develop effective practices in the absence of a formal organizational structure that guides the practices. A virtual team{\textquoteright}s reliance on technological support to span temporal and organizational discontinuities makes an effective decision-making process more difficult to achieve. We examine decision-making processes and their relation to team performance in Free/Libre Open Source Software (FLOSS) teams, chosen as extreme examples of self-organizing virtual teams. We identified six paths that describe the decision-making process. Further analysis revealed that diversity in decision-making paths appeared to be related to differences in task types and group performance. The study provides insight into decision making in FLOSS teams and has implications for decision making in self-organizing virtual teams more generally.},
	author = {Wei, Kangning and Kevin Crowston and Heckman, Robert and Li, Qing}
}
@article {310,
	title = {A Structurational Perspective on Leadership in Virtual Teams},
	year = {2007},
	pages = {151 - 168},
	abstract = {Building on behavioural leadership theory and structuration theory, we present a two-order theory of leadership. It describes four classes of first-order leadership behaviours (task coordination, substantive task contribution, group maintenance and boundary spanning) and defines second-order leadership as behaviour that influences changes in the structure that guides group action. We argue that second-order leadership is enabled by first-order leadership and is therefore action embedded and grounded in processes that define the social identity of the group. We propose that effective virtual teams will exhibit a paradoxical combination of shared, distributed first-order leadership complemented by strong, concentrated, and centralized second-order leadership. We conclude by suggesting future research that might be conducted to test and further elaborate our theory.},
	doi = {10.1007/978-0-387-73025-7_12},
	author = {Heckman, Robert and Kevin Crowston and Misiolek, Nora}
}
