@proceedings {Li:2008,
	title = {Decision Making Paths in Self-Organizing Technology-Mediated Distributed Teams},
	year = {2008},
	address = {Paris, France, 14-17 December},
	abstract = {This paper investigates decision making in self-organizing technology-mediated distributed teams. This context provides an opportunity to examine how the use of technological support to span temporal and organizational discontinuities affects decision-making processes. 258 software-modification decision episodes were collected from the public emailing lists of six Free/Libre Open Source Software (FLOSS) projects over a span of five years. Six decision-making paths were identified as 1) short-cut decision-making path; 2) implicit-development decision-making path; 3) implicit-evaluation decision-making path; 4) normative decision-making path; 5) dynamic decision-making path; and 6) interrupted/delayed decision-making path. We suggest that the nature of the tasks and the affordances of the  technology used reduce the need for explicit coordination, resulting in a broader range of possible decision processes than are observed in face-to-face groups.},
	attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/Decision\%20Making\%20Paths\%20in\%20Self\%20Organizing\%20Technology\%20Mediated\%20Dist.pdf},
	author = {Li, Qing and Heckman, Robert and Kevin Crowston and James Howison and Allen, Eileen E. and Eseryel, U. Yeliz}
}
@proceedings {,
	title = {Depicting What Really Matters: Using Episodes to Study Latent Phenomenon},
	year = {2008},
	abstract = {Research on processes and practices around information systems is often best conducted in naturalistic setting. To conduct valid and reliable research in such settings, researchers must find ways to reliably bound the phenomenon in which they are interested. In this paper we propose that researchers use episodes{\textemdash}events or processes occurring over a specified period of time{\textemdash}to isolate that which interests them from the vast set of related human behavior. The paper discusses the nature of episodes in the literature and suggests particular research settings in which episodes can be useful. The paper describes a three stage methodology to identify episodes for systematic data collection and analysis. The paper presents an example study using episodes to study group learning process in distributed groups.},
	keywords = {Learning, Process},
	attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/Depicting\%20What\%20Really\%20Matters\%20Using\%20Episodes\%20to\%20Study\%20Latent\%20Phe.pdf},
	author = {Annabi, Hala and Kevin Crowston and Heckman, Robert}
}
