TY - Generic T1 - Machine Learning and Rule-Based Automated Coding of Qualitative Data T2 - American Society for Information Science and Technology (ASIST) Annual Conference Y1 - 2010 A1 - Kevin Crowston A1 - Xiaozhong Liu A1 - Allen, Eileen E. A1 - Heckman, Robert KW - FLOSS KW - NLP AB - Researchers often employ qualitative research approaches but large volumes of textual data pose considerable challenges to manual coding. In this research, we explore how to implement fully or semi-automatic coding on textual data (specifically, electronic messages) by leveraging Natural Language Processing (NLP). In particular, we compare the performance of human-developed NLP rules to those inferred by machine learning algorithms. The experimental results suggest that NLP with machine learning can be an effective way to assist researchers in coding qualitative data. JF - American Society for Information Science and Technology (ASIST) Annual Conference CY - Pittsburgh, PA ER - TY - Generic T1 - Asynchronous Decision-Making in Distributed Teams (Poster) Y1 - 2008 A1 - Li, Qing A1 - Heckman, Robert A1 - Allen, Eileen E. A1 - Kevin Crowston A1 - Eseryel, U. Yeliz A1 - James Howison A1 - Wiggins, Andrea KW - Decision-Making KW - FLOSS JF - Conference on Computer-Supported Cooperative Work CY - San Diego, CA ER - TY - Generic T1 - Emergent decision-making practices in technology-supported self-organizing distributed teams T2 - Proceedings of the International Conference on Information Systems (ICIS) Y1 - 2006 A1 - Heckman, Robert A1 - Kevin Crowston A1 - Li, Qing A1 - Allen, Eileen E. A1 - Eseryel, U. Yeliz A1 - James Howison A1 - Kangning Wei KW - Decision-Making KW - FLOSS AB - We seek to identify work practices that make technology-supported self-organizing distributed (or virtual) teams (TSSODT for short) effective in producing outputs satisfactory to their sponsors, meeting the needs of their members and continuing to function. A particularly important practice for team effectiveness is decision making: are the right decisions made at the right time to get the work done in a way that satisfies team sponsors, keeps contributors happy and engaged, and enables continued team success? In this research-in-progress paper, we report on an inductive qualitative analysis of 120 decision episodes taken by 2 Free/libre Open Source Software development teams. Our analysis revealed differences in decision-making practices that seem to be related to differences in overall team effectiveness. JF - Proceedings of the International Conference on Information Systems (ICIS) CY - Milwaukee, WI, 10–13 Dec ER -