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Dalgali, A., & Crowston, K.. (2020). Algorithmic Journalism and Its Impacts on Work. In Computation + Journalism Symposium. Presented at the Computation + Journalism Symposium . Retrieved de https://cpb-us-w2.wpmucdn.com/express.northeastern.edu/dist/d/53/files/2020/02/CJ_2020_paper_26.pdf

CJ_2020_paper_26.pdf (1.24 MB)

Katzy, B., Sung, G., & Crowston, K.. (2016). Alignment in an inter-organisational network: the case of ARC transistance. European Journal Of Information Systems, 25(6), 553–568. https://doi.org/10.1057/ejis.2016.9

Crowston, K. (2012). Amazon Mechanical Turk: A research tool for organizations and information systems scholars (A. Bhattacherjee & Fitzgerald, B., Eds.). In IFIP Working Group 8.2 Conference: Shaping the Future of ICT Research: Methods and Approaches (pp. 210-221). https://doi.org/10.1007/978-3-642-35141-9

3890210.pdf (1.64 MB)

Crowston, K., Wiggins, A., & Howison, J.. (2010). Analyzing Leadership Dynamics in Distributed Group Communication. In Proceedings of the Forty-third Hawaiʼi International Conference on System Sciences (HICSS-43). https://doi.org/10.1109/HICSS.2010.62

07-06-02.pdf (478.73 KB)

Petridis, S., Diakopoulos, N., Crowston, K., Hansen, M., Henderson, K., Jastrzebski, S., et al.. (2023). AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3580907

Lee, T. Kyoung, Crowston, K., Harandi, M., Østerlund, C., & Miller, G.. (2018). Appealing to different motivations in a message to recruit citizen scientists: results of a field experiment. Journal Of Science Communication, 17. https://doi.org/10.22323/2.17010202

JCOM_1701_2018_A02.pdf (306.9 KB)

Crowston, K. (1996). An approach to evolving novel organizational forms. Computational And Mathematical Organization Theory, 2, 29–47. https://doi.org/10.1007/BF00125762

evol struct rewrite 2.pdf (199.69 KB)

Ågerfalk, P. J., Conboy, K., Crowston, K., Jarvenpaa, S. L., Lundström, J. Eriksson, Mikalef, P., & Ram, S.. (2022). Artificial intelligence in information systems: State of the art and research roadmap. Communications Of The Association For Information Systems (Cais), 50. https://doi.org/10.17705/1CAIS.05017

Artificial Intelligence in Information Systems State of the Art.pdf (1 MB)

Niederman, F., Crowston, K., Koch, H., Krcmar, H., Powell, P., & Swanson, B. E.. (2015). Assessing IS research impact. Communications Of The Association For Information Systems, 36. https://doi.org/10.17705/1CAIS.03607

Crowston, K., & Howison, J.. (2006). Assessing the health of open source communities. Ieee Computer, 39(5), 89-91. https://doi.org/10.1109/MC.2006.152

Paper.pdf (397.76 KB)

Crowston, K., & Treacy, M. E.. (1986). Assessing the impact of information technology on enterprise level performance. In Proceedings of the Sixth International Conference on Information Systems (ICIS) (pp. 299–310). Indianapolis, IN.

icis86 (1 MB)

Sandusky, R. J., Allard, S., Baird, L., Cannon, L., Crowston, K., Forrester, A., et al.. (2021). Assessment, Usability, and Sociocultural Impacts of DataONE: A Global Research Data Cyberinfrastructure Initiative. International Journal Of Digital Curation, 16(1). https://doi.org/10.2218/ijdc.v16i1.678

Li, Q., Heckman, R., Allen, E. E., Crowston, K., Eseryel, Y., Howison, J., & Wiggins, A.. (2008). Asynchronous Decision-Making in Distributed Teams (Poster). In Conference on Computer-Supported Cooperative Work.

CSCW2008Poster11x17Draft.pdf (198.92 KB)

Curty, R. G., Crowston, K., Specht, A., Grant, B., & Walton, E. D.. (2017). Attitudes and norms affecting scientists’ data reuse. Plos One, 12(12). https://doi.org/10.1371/journal.pone.0189288

PONE to share.pdf (1.19 MB)

Crowston, K., Eseryel, Y., & Li, Q.. (2006). Audio of ICIS 2006 Presentation.

ICIS-2006-Kevin-Yeliz-Qing-fixed (26.6 MB)

Mugar, G., Østerlund, C., Jackson, C., & Crowston, K.. (2015). Being Present in Online Communities: Learning in Citizen Science. In 7th International Conference on Communities and Technologies. https://doi.org/10.1145/2768545.2768555

C&T_2015_FINAL.pdf (432.26 KB)

Crowston, K., Østerlund, C., & Lee, T. Kyoung. (2017). Blending machine and human learning processes. In Hawai'i International Conference on System Sciences. https://doi.org/10.24251/HICSS.2017.009

training v3 to share.pdf (245.57 KB)

Østerlund, C., & Crowston, K.. (2011). Boundary-spanning documents in online communities (Research-in-Progress). In International Conference on Information Systems (ICIS). Presented at the International Conference on Information Systems (ICIS), Shanghai, China.

s1-ln10612586-928182863-1939656818Hwf394207478IdV-120335818210612586PDF_HI0001.pdf (390.53 KB)

Østerlund, C., & Crowston, K.. (2013). Boundary-Spanning Documents in Online FLOSS Communities: Does One Size Fit All?. In Forty-sixth Hawai'i International Conference on System Sciences (HICSS-46).

floss documents to distribute.pdf (533.18 KB)

Crowston, K., & Scozzi, B.. (2008). Bug Fixing Practices within Free/Libre Open Source Software Development Teams. Journal Of Database Management, 19(2), 1–30.

jdbm2008 (547.43 KB)

Crowston, K. (2008). The bug fixing process in proprietary and free/libre open source software: A coordination theory analysis. In V. Grover & Markus, L. M. (Eds.), Business Process Transformation (pp. 69-99). Armonk, NY: M. E. Sharpe.

The bug fixing process in proprietary .pdf (661.59 KB)

Howison, J., Squire, M., & Crowston, K.. (2007). Building a collaboratory for research on open source software development (Poster). In eSocial Science Conference.

Howison_eSocSciPoster-small.pdf (1.06 MB)

Rubleske, J., Crowston, K., Kwaśnik, B. H., & Chun, Y. - L.. (2007). Building a Corpus of Genre-Tagged Web Pages for an Information-Access Experiment. In Colloquium on Web Genres, Corpus Linguistics. Presented at the Colloquium on Web Genres, Corpus Linguistics, Birmingham, UK.

corpus.longabstract.revised.IV16.pdf (84.49 KB)

Østerlund, C., Crowston, K., & Jackson, C. B.. (2020). Building an apparatus: Refractive, reflective and diffractive readings of trace data. Journal Of The Association For Information Systems, 21(1), Article 10. https://doi.org/10.17705/1jais.00590