Papers

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Journal Article
Howison, J., Conklin, M. S., & Crowston, K.. (2006). FLOSSmole: A collaborative repository for FLOSS research data and analyses. International Journal Of Information Technology And Web Engineering, 1(3), 17–26.
PDF icon FLOSSmole.pdf (212.33 KB)
Jackson, C. B., Crowston, K., Østerlund, C., & Harandi, M.. (2018). Folksonomies to support coordination and coordination of folksonomies. Computer Supported Cooperative Work, 27(3–6), 647–678. https://doi.org/10.1007/s10606-018-9327-z
PDF icon ECSCW-Paper-Final.pdf (2.14 MB)
Öcal, A., & Crowston, K.. (2024). Framing and feelings on social media: The futures of work and intelligent machines. Information, Technology & People. https://doi.org/10.1108/ITP-01-2023-0049
PDF icon frames to share.pdf (391.17 KB)
Crowston, K., Wei, K., Howison, J., & Wiggins, A.. (2012). Free/Libre Open Source Software Development: What we know and what we do not know. Acm Computing Surveys, 44. https://doi.org/10.1145/2089125.2089127
PDF icon CrowstonFLOSSReviewPaperPreprint.pdf (767.41 KB)PDF icon Appendix 1 Journal and Conference Names.pdf (25.9 KB)PDF icon Appendix 2 Coding Scheme.pdf (16.55 KB)PDF icon Appendix 3 Studies included in the review.pdf (170.37 KB)
Eseryel, Y., Crowston, K., & Heckman, R.. (2021). Functional and Visionary Leadership in Self-Managing Virtual Teams. Group & Organization Management, 46(2), 424–460. https://doi.org/10.1177/1059601120955034
PDF icon 1059601120955034.pdf (947.47 KB)
Newman, G., Wiggins, A., Crall, A., Graham, E., Newman, S., & Crowston, K.. (2012). The future of citizen science: emerging technologies and shifting paradigms. Frontiers In Ecology And The Environment, 10(6), 298–304. https://doi.org/10.1890/110294
Crowston, K. (2005). Future research on FLOSS development. First Monday, 10(Special Issue #2: Open Source — 3 October 2005). Retrieved de http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/1465/1380
Prestopnik, N., Crowston, K., & Wang, J.. (2017). Gamers, citizen scientists, and data: Exploring participant contributions in two games with a purpose. Computers In Human Behavior, 68, 254–268. https://doi.org/10.1016/j.chb.2016.11.035
PDF icon chb2016.pdf (3.74 MB)
Choudhury, P., Crowston, K., Dahlander, L., Minervini, M. S., & Raghuram, S.. (2020). GitLab: Work where you want, when you want. Journal Of Organizational Design, 9(1), 23. https://doi.org/10.1186/s41469-020-00087-8
PDF icon s41469-020-00087-8.pdf (1.14 MB)
Zevin, M., Coughlin, S., Bahaadini, S., Besler, E., Rohani, N., Allen, S., et al.. (2017). Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science. Classical And Quantum Gravity, 34, 064003. https://doi.org/10.1088/1361-6382/aa5cea
Zevin, M., Jackson, C. B., Doctor, Z., Wu, Y., Østerlund, C., L. Johnson, C., et al.. (2024). Gravity Spy: Lessons Learned and a Path Forward. European Physical Journal Plus, 139, Article 100. https://doi.org/10.1140/epjp/s13360-023-04795-4
Wei, K., Crowston, K., Li, N., & Heckman, R.. (2014). Group maintenance in technology-supported distributed teams. Information & Management, 51(3), 297-309. https://doi.org/10.1016/j.im.2014.02.001
PDF icon Group_maintenance paper_part I_20140122_final.pdf (1.06 MB)
PDF icon HierarchyAndCentralization.pdf (566.38 KB)
Ebel, P., Söllner, M., Leimeister, J. Marco, Crowston, K., & de Vreede, G. - J.. (2021). Hybrid intelligence in business networks. Electronic Markets. https://doi.org/10.1007/s12525-021-00481-4
PDF icon Ebel2021_Article_HybridIntelligenceInBusinessNe.pdf (605.72 KB)
PDF icon Implications for hybrid newswork from the activities of local US television journalists during COVID to share.pdf (323.75 KB)
Crowston, K., Howison, J., & Annabi, H.. (2006). Information systems success in Free and Open Source Software development: Theory and measures. Software Process–Improvement And Practice, 11, 123–148. https://doi.org/10.1002/spip.259
PDF icon InformationSystemsSuccessInFree.pdf (1.1 MB)
Crowston, K., & Myers, M. D.. (2004). Information technology and the transformation of industries: Three research perspectives. Journal Of Strategic Information Systems, 13(1), 5–28. https://doi.org/10.1016/j.jsis.2004.02.001
PDF icon JoSIS_2004 (186.84 KB)
Specht, A., & Crowston, K.. (2022). Interdisciplinary collaboration from diverse science teams can produce significant outcomes. Plos One, 17(11). https://doi.org/10.1371/journal.pone.0278043
PDF icon Interdisciplinary collaboration from diverse science teams can produce significant outcomes.pdf (904.84 KB)
Malone, T. W., & Crowston, K.. (1994). The interdisciplinary study of coordination. Computing Surveys, 26(1), 87–119. https://doi.org/10.1145/174666.174668
PDF icon acmcs94 (571.23 KB)
Kwaśnik, B. H., & Crowston, K.. (2005). Introduction to the special issue: Genres of digital documents. Information, Technology & People, 18(2), 76–88. https://doi.org/10.1108/09593840510601487
PDF icon itp2005genreintro.pdf (228.87 KB)
Crowston, K., Sawyer, S., & Wigand, R.. (2001). Investigating the interplay between structure and information and communications technology in the real estate industry. Information, Technology & People, 14(2), 163–183. https://doi.org/10.1108/09593840110695749
PDF icon itp2001 (471.76 KB)
Crowston, K., Østerlund, C., Lee, T. Kyoung, Jackson, C. B., Harandi, M., Allen, S., et al.. (2020). Knowledge Tracing to Model Learning in Online Citizen Science Projects. Ieee Transactions On Learning Technologies, 13, 123-134. https://doi.org/10.1109/TLT.2019.2936480
PDF icon transaction paper final figures in text.pdf (1.39 MB)
Dolata, M., & Crowston, K.. (2024). Making sense of AI systems development. Ieee Transactions On Software Engineering, 50(1), 123–140. https://doi.org/10.1109/TSE.2023.3338857
PDF icon sensemaking_tse_to_share.pdf (619.73 KB)
Scozzi, B., Garavelli, C., & Crowston, K.. (2005). Methods for modeling and supporting innovation processes in SMEs. European Journal Of Innovation Management, 8(1), 120–137. https://doi.org/10.1108/14601060510578619
PDF icon Methods For Modeling.pdf (103.8 KB)
Saltz, J., Crowston, K., Heckman, R., & Hegde, Y.. (2020). MIDST: An enhanced development environment that improves the maintainability of a data science analysis. International Journal Of Information Systems And Project Management, 8(3). https://doi.org/10.12821/ijispm080301

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