@article {zevin2023gravity, title = {Gravity Spy: Lessons Learned and a Path Forward}, journal = {European Physical Journal Plus}, volume = {139}, year = {2024}, month = {01/2024}, pages = {Article 100}, abstract = {

The Gravity Spy project aims to uncover the origins of glitches, transient bursts of noise that hamper analysis of gravitational-wave data. By using both the work of citizen-science volunteers and machine-learning algorithms, the Gravity Spy project enables reliable classification of glitches. Citizen science and machine learning are intrinsically coupled within the Gravity Spy framework, with machine-learning classifications providing a rapid first-pass classification of the dataset and enabling tiered volunteer training, and volunteer-based classifications verifying the machine classifications, bolstering the machine-learning training set and identifying new morphological classes of glitches. These classifications are now routinely used in studies characterizing the performance of the LIGO gravitational-wave detectors. Providing the volunteers with a training framework that teaches them to classify a wide range of glitches, as well as additional tools to aid their investigations of interesting glitches, empowers them to make discoveries of new classes of glitches. This demonstrates that, when giving suitable support, volunteers can go beyond simple classification tasks to identify new features in data at a level comparable to domain experts. The Gravity Spy project is now providing volunteers with more complicated data that includes auxiliary monitors of the detector to identify the root cause of glitches.

}, doi = {10.1140/epjp/s13360-023-04795-4}, author = {Michael Zevin and Corey B. Jackson and Zoheyr Doctor and Yunan Wu and Carsten {\O}sterlund and L. Clifton Johnson and Christopher P. L. Berry and Kevin Crowston and Scott B. Coughlin and Vicky Kalogera and Sharan Banagiri and Derek Davis and Jane Glanzer and Renzhi Hao and Aggelos K. Katsaggelos and Oli Patane and Jennifer Sanchez and Joshua Smith and Siddharth Soni and Laura Trouille and Marissa Walker and Irina Aerith and Wilfried Domainko and Victor-Georges Baranowski and Gerhard Niklasch and Barbara T{\'e}gl{\'a}s} } @article {2023, title = {Perceived benefits of open data are improving but scientists still lack resources, skills, and rewards}, journal = {Humanities and Social Sciences Communications}, volume = {10}, year = {2023}, month = {Jan-12-2023}, doi = {10.1057/s41599-023-01831-7}, author = {Borycz, Joshua and Olendorf, Robert and Specht, Alison and Grant, Bruce and Crowston, Kevin and Tenopir, Carol and Allard, Suzie and Rice, Natalie M. and Hu, Rachael and Sandusky, Robert J.} } @article {9998, title = {Artificial intelligence in information systems: State of the art and research roadmap}, journal = {Communications of the Association for Information Systems (CAIS)}, volume = {50}, year = {2022}, abstract = {

Many would argue that artificial intelligence (AI) is not just a technology but represents a paradigmatic shift in the relationship between humans and machines. Much of the literature assumes that AI-powered practices are substantially different and profoundly changes organizational structures, communication, affordances, and ecosystems. However, research in AI is often fragmented and lacks clarity. While the Information Systems (IS) field can play a pivotal role in the emergence and use of AI, there is a need for a clear direction that specifies how IS can contribute and what are to be the key research themes and questions. This paper draws on a PDW at ICIS 2020 and the discussions that followed. It summarizes and synthesizes five decades of the impact of AI on organizational practices, providing views from various perspectives. It identifies weaknesses in the current AI literature as measured against conceptual clarity, theoretical glue, cumulative tradition, parsimony, and applicability. The paper concludes by identifying direct actions that the IS research community can undertake to address these issues. The final contribution is a next-step research agenda to guide AI research in the coming years.

}, doi = {10.17705/1CAIS.05017}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/Artificial\%20Intelligence\%20in\%20Information\%20Systems\%20State\%20of\%20the\%20Art.pdf}, author = {P{\"a}r J. {\r A}gerfalk and Kieran Conboy and Kevin Crowston and Sirkka L. Jarvenpaa and Jenny Eriksson Lundstr{\"o}m and Patrick Mikalef and Sudha Ram} } @article {9998, title = {Assessment, Usability, and Sociocultural Impacts of DataONE: A Global Research Data Cyberinfrastructure Initiative}, journal = {International Journal of Digital Curation}, volume = {16}, year = {2021}, month = {04/2021}, abstract = {

DataONE, funded from 2009-2019 by the U.S. National Science Foundation, is an early example of a large-scale project that built both a cyberinfrastructure and culture of data discovery, sharing, and reuse. DataONE used a Working Group model, where a diverse group of participants collaborated on targeted research and development activities to achieve broader project goals. This article summarizes the work carried out by two of DataONE{\textquoteright}s working groups: Usability \& Assessment (2009-2019) and Sociocultural Issues (2009-2014). The activities of these working groups provide a unique longitudinal look at how scientists, librarians, and other key stakeholders engaged in convergence research to identify and analyze practices around research data management through the development of boundary objects, an iterative assessment program, and reflection. Members of the working groups disseminated their findings widely in papers, presentations, and datasets, reaching international audiences through publications in 25 different journals and presentations to over 5,000 people at interdisciplinary venues. The working groups helped inform the DataONE cyberinfrastructure and influenced the evolving data management landscape. By studying working groups over time, the paper also presents lessons learned about the working group model for global large-scale projects that bring together participants from multiple disciplines and communities in convergence research.

}, doi = {10.2218/ijdc.v16i1.678 }, author = {Robert J. Sandusky and Suzie Allard and Lynn Baird and Leah Cannon and Kevin Crowston and Amy Forrester and Bruce Grant and Rachael Hu and Robert Olendorf and Danielle Pollock and Alison Specht and Carol Tenopir and Rachel Volentine} } @article {9998, title = {Knowledge Tracing to Model Learning in Online Citizen Science Projects}, journal = {IEEE Transactions on Learning Technologies}, volume = {13}, year = {2020}, pages = {123-134}, abstract = {

We present the design of a citizen science system that uses machine learning to guide the presentation of image classification tasks to newcomers to help them more quickly learn how to do the task while still contributing to the work of the project. A Bayesian model for tracking volunteer learning for training with tasks with uncertain outcomes is presented and fit to data from 12,986 volunteer contributors. The model can be used both to estimate the ability of volunteers and to decide the classification of an image. A simulation of the model applied to volunteer promotion and image retirement suggests that the model requires fewer classifications than the current system.

}, issn = {1939-1382}, doi = {10.1109/TLT.2019.2936480 }, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/transaction\%20paper\%20final\%20figures\%20in\%20text.pdf}, author = {Kevin Crowston and Carsten {\O}sterlund and Tae Kyoung Lee and Corey Brian Jackson and Mahboobeh Harandi and Sarah Allen and Sara Bahaadini and Scott Coughlin and Aggelos Katsaggelos and Shane Larson and Neda Rohani and Joshua Smith and Laura Trouille and Michael Zevin} } @article {9999, title = {Teaching Citizen Scientists to Categorize Glitches using Machine-Learning-Guided Training}, journal = {Computers in Human Behavior}, volume = {105}, year = {2020}, pages = {106198}, abstract = {

Training users in online communities is important for making high performing contributors. However, several conundrums exists in choosing the most effective approaches to training users. For example, if it takes time to learn to do the task correctly, then the initial contributions may not be of high enough quality to be useful. We conducted an online field experiment where we recruited users (N = 386) in a web-based citizen-science project to evaluate the two training approaches. In one training regime, users received one-time training and were asked to learn and apply twenty classes to the data. In the other approach, users were gradually exposed to classes of data that were selected by trained machine learning algorithms as being members of particular classes. The results of our analysis revealed that the gradual training produced {\textquotedblleft}high performing contributors{\textquotedblright}. In our comparison of the treatment and control groups we found users who experienced gradual training performed significantly better on the task (an average accuracy of 90\% vs. 54\%), contributed more work (an average of 228 vs. 121 classifications), and were retained in the project for a longer period of time (an average of 2.5 vs. 2 sessions). The results suggests online production communities seeking to train newcomers would benefit from training regimes that gradually introduce them to the work of the project using real tasks.

}, doi = {10.1016/j.chb.2019.106198}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/MLGT-preprint.pdf}, author = {Corey Jackson and Carsten {\O}sterlund and Kevin Crowston and Mahboobeh Harandi and Sarah Allen and Sara Bahaadini and Scott Coughlin and Vicky Kalogera and Aggelos Katsaggelos and Shane Larson and Neda Rohani and Joshua Smith and Laura Trouille and Michael Zevin} } @article {2019, title = {Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning}, journal = {Physical Review D}, volume = {99}, year = {2019}, pages = {082002}, abstract = {

The observation of gravitational waves from compact binary coalescences by LIGO and Virgo has begun a new era in astronomy. A critical challenge in making detections is determining whether loud transient features in the data are caused by gravitational waves or by instrumental or environmental sources. The citizen-science project Gravity Spy has been demonstrated as an efficient infrastructure for classifying known types of noise transients (glitches) through a combination of data analysis performed by both citizen volunteers and machine learning. We present the next iteration of this project, using similarity indices to empower citizen scientists to create large data sets of unknown transients, which can then be used to facilitate supervised machine-learning characterization. This new evolution aims to alleviate a persistent challenge that plagues both citizen-science and instrumental detector work: the ability to build large samples of relatively rare events. Using two families of transient noise that appeared unexpectedly during LIGO{\textquoteright}s second observing run, we demonstrate the impact that the similarity indices could have had on finding these new glitch types in the Gravity Spy program.

}, issn = {2470-0010}, doi = {10.1103/PhysRevD.99.082002}, author = {Scott Coughlin and Sara Bahaadini and Neda Rohani and Michael Zevin and Patane, Oli and Mahboobeh Harandi and Corey Brian Jackson and Noroozi, V. and Sarah Allen and Areeda, J. and Coughlin, M. and Ruiz, P. and Berry, C. P. L. and Kevin Crowston and Aggelos Katsaggelos and Andrew Lundgren and Carsten {\O}sterlund and Joshua Smith and Laura Trouille and Vicky Kalogera} } @article {657, title = {Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science}, journal = {Classical and Quantum Gravity}, volume = {34}, year = {2017}, pages = {064003}, type = {Journal Article}, doi = {10.1088/1361-6382/aa5cea}, author = {Michael Zevin and Scott Coughlin and Sara Bahaadini and Emre Besler and Neda Rohani and Sarah Allen and Miriam Cabero and Kevin Crowston and Aggelos Katsaggelos and Shane Larson and Tae Kyoung Lee and Chris Lintott and Tyson Littenberg and Andrew Lundgren and Carsten Oesterlund and Joshua Smith and Laura Trouille and Vicky Kalogera} } @article {2016, title = {Manifesto on Engineering Academic Software (Dagstuhl Perspectives Workshop 16252)}, volume = {6}, year = {2016}, month = {12/2106}, institution = {Schloss Dagstuhl {\textendash} Leibniz Center for Informatics}, address = {Wadern, Germany}, abstract = {Software is often a critical component of scientific research. It can be a component of the academic research methods used to produce research results, or it may itself be an academic research result. Software, however, has rarely been considered to be a citable artifact in its own right. With the advent of open-source software, artifact evaluation committees of conferences, and journals that include source code and running systems as part of the published artifacts, we foresee that software will increasingly be recognized as part of the academic process. The quality and sustainability of this software must be accounted for, both a priori and a posteriori. The Dagstuhl Perspectives Workshop on {\textquotedblleft}Engineering Academic Software{\textquotedblright} has examined the strengths, weaknesses, risks, and opportunities of academic software engineering. A key outcome of the workshop is this Dagstuhl Manifesto, serving as a roadmap towards future professional software engineering for software-based research instruments and other software produced and used in an academic context. The manifesto is expressed in terms of a series of actionable {\textquotedblleft}pledges{\textquotedblright} that users and developers of academic research software can take as concrete steps towards improving the environment in which that software is produced.}, author = {Alice Allen and Cecilia Aragon and Christoph Becker and Jeffrey Carver and Andrei Chi{\c s} and Benoit Combemale and Mike Croucher and Kevin Crowston and Daniel Garijo and Ashish Gehani and Carole Goble and Robert Haines and Robert Hirschfeld and James Howison and Kathryn Huff and Caroline Jay and Daniel S. Katz and Claude Kirchner and Katie Kuksenok and Ralf L{\"a}mmel and Oscar Nierstrasz and Matt Turk and van Nieuwpoort, Rob and Matthew Vaughn and Jurgen Vinju} } @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.}, doi = {10.1080/13645579.2011.625764}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/NLP_for_qualitative_analysis.pdf}, author = {Kevin Crowston and Allen, Eileen E. and Heckman, Robert} } @proceedings {2010, title = {Machine Learning and Rule-Based Automated Coding of Qualitative Data}, year = {2010}, month = {10/2010}, address = {Pittsburgh, PA}, abstract = {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. }, keywords = {FLOSS, NLP}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/ml_nlp.pdf , https://crowston.syr.edu./sites/crowston.syr.edu/files/ASIST\%20poster\%202p\%20final.pdf}, author = {Kevin Crowston and Xiaozhong Liu and Allen, Eileen E. and Heckman, Robert} } @booklet {2009, title = {ICIS 2008 Panel Report: Open Access Publishing to Nurture the Sprouts of Knowledge and the Future of Information Systems Research}, howpublished = {Communications of the Association for Information Systems}, volume = {24}, year = {2009}, abstract = {

The advent of the Internet and the subsequent adoption of Open Access schemata are changing the nature of the scholarly discourse. In response, we seek to stimulate a debate about the role and desired forms of Open Access publishing in the context of the Information System (IS) discipline. We explore the potential contribution of an Open Access perspective on publishing IS-related research and also discuss the roles of traditional journals and their prospects in the contexts of our observations. In particular, we focus on the new possibilities of publishing work-in-progress and its potential benefit for knowledge dissemination including the prospects of turning today{\textquoteright}s limited scholarly exchange into mass collaboration. We illustrate our vision with a working prototype of an Open Access disciplinary repository entitled Sprouts (http://sprouts.aisnet.org). Our aim is to inspire new thinking about the role of Open Access publishing, the potential of its application to disciplinary repositories of emergent work, its anticipated repercussions on our work practices, and its long-term implication for the impact of IS scholarship and the well-being of our community at large. We call for participation and further action in realizing a global repository of IS research in progress. This paper builds on a panel on Open Access that was presented at the 2008 International Conference on Information Systems (ICIS), held in Paris, France, in December 2008.

}, keywords = {Information System}, doi = {10.17705/1CAIS.02430}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/ICIS\%20Panel\%20Open\%20Access\%20Publishing.pdf}, author = {Avital, Michel and Bj{\"o}rk, Bo-Christer and Boland, Richard J and Kevin Crowston and Lyytinen, Kalle and Majchrzak, Ann} } @article {Li:2008a, title = {Asynchronous Decision-Making in Distributed Teams (Poster)}, year = {2008}, month = {8{\textendash}12 November}, address = {San Diego, CA}, keywords = {Decision-Making, FLOSS}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/CSCW2008Poster11x17Draft.pdf}, author = {Li, Qing and Heckman, Robert and Allen, Eileen E. and Kevin Crowston and Eseryel, U. Yeliz and James Howison and Wiggins, Andrea} } @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} } @proceedings {Heckman:2007, title = {Emergent decision-making practices in Free/Libre Open Source Software FLOSS development teams}, year = {2007}, address = {Limerick, Ireland, 10-14 June}, abstract = {We seek to identify work practices that make Free/Libre Open Source Software (FLOSS) development teams effective. Particularly important to team effectiveness is decision making. In this paper, we report on an inductive qualitative analysis of 360 decision episodes of six FLOSS development teams. Our analysis revealed diversity in decision-making practices that seem to be related to differences in overall team characteristics and effectiveness. }, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/20070320\%20OSS\%20Conference_v15_final\%20submitted.pdf}, author = {Heckman, Robert and Kevin Crowston and Eseryel, U. Yeliz and James Howison and Allen, Eileen E. and Li, Qing} } @article {2007, title = {Investigating the Dynamics of FLOSS Development Teams (Poster)}, year = {2007}, note = {SD 2007 poster - Full Adobe PDF 2007 HSD PI{\textquoteright}s conference poster reporting on the grant project work to date in a full Adobe PDF file. HSD 2007 poster - Small PDF HSD 2007 conference grant progress reporting poster in a smaller PDF file. }, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/HSDposter_8.ai_.pdf , https://crowston.syr.edu./sites/crowston.syr.edu/files/HSDposter_8.pdf}, author = {Li, Na and Li, Qing and Kangning Wei and Heckman, Robert and Eseryel, U. Yeliz and Liddy, Elizabeth D. and James Howison and Kevin Crowston and Allen, Eileen E. and Scialdone, Michael J. and Inoue, Keisuke and Harwell, Sarah and Rowe, Steven and McCracken, Nancy and Wiggins, Andrea} } @proceedings {Heckman:2006b, title = {Emergent decision-making practices in technology-supported self-organizing distributed teams}, year = {2006}, address = {Milwaukee, WI, 10{\textendash}13 Dec}, abstract = {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.}, keywords = {Decision-Making, FLOSS}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/Emergent\%20Decision\%20Making\%20Practices\%20In\%20Technology\%20Supported\%20Self\%20O.pdf}, author = {Heckman, Robert and Kevin Crowston and Li, Qing and Allen, Eileen E. and Eseryel, U. Yeliz and James Howison and Kangning Wei} } @proceedings {Annabi:2006, title = {From Individual Contribution to Group learning: the Early Years of Apache Web Server}, year = {2006}, pages = {77{\textendash}90}, address = {Lake Como, Italy, 8{\textendash}9 June}, abstract = {Open Source Software (OSS) groups experience many benefits and challenges with respect to the core group{\textquoteright}s effectiveness. In order to capitalize on the benefits and minimize the challenges, OSS groups must learn not only on the individual level, but also on the group level. OSS groups learn by integrating individual contributions into the group{\textquoteright}s product and processes. This paper reports on the characteristics of the learning process in OSS groups. The study utilized an embedded single case study design that observed and analyzed group learning processes in the Apache Web server OSS project. The study used learning opportunity episodes (LOE) as the embedded unit of analysis and developed and utilized three content analytic schemes to describe the characteristics of the learning process and the factors affecting this process.}, keywords = {FLOSS, Learning}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/FromIndividualContributionToGroup.pdf}, author = {Annabi, Hala and Kevin Crowston and Heckman, Robert} } @article {Crowston:2006, title = {Information systems success in Free and Open Source Software development: Theory and measures}, journal = {Software Process{\textendash}Improvement and Practice}, volume = {11}, number = {2}, year = {2006}, pages = {123{\textendash}148}, abstract = {Information systems success is one of the most widely used dependent variables in information systems (IS) research, but research on Free/Libre and Open Source software (FLOSS) often fails to appropriately conceptualize this important concept. In this paper, we reconsider what success means within a FLOSS context. We first review existing models of IS success and success variables used in FLOSS research and assess them for their usefulness, practicality and fit to the FLOSS context. Then, drawing on a theoretical model of group effectiveness in the FLOSS development process, as well as an online discussion group with developers, we present additional concepts that are central to an appropriate understanding of success for FLOSS. In order to examine the practicality and validity of this conceptual scheme, the second half of our paper presents an empirical study that demonstrates its operationalization of the chosen measures and assesses their internal validity. We use data from SourceForge to measure the project{\textquoteright}s effectiveness in team building, the speed of the project at responding to bug reports and the project{\textquoteright}s popularity. We conclude by discussing the implications of this study for our proposed extension of IS success in the context of FLOSS development and highlight future directions for research.}, keywords = {FLOSS, Success}, doi = {10.1002/spip.259}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/InformationSystemsSuccessInFree.pdf}, author = {Kevin Crowston and James Howison and Annabi, Hala} } @article {2006, title = {Investigating the Dynamics of FLOSS Development Teams (Poster)}, year = {2006}, note = {Poster describing the current state of the project for the HSD Principal Investigators{\textquoteright} conference, 14-15 September 2006, Washington DC.}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/hsd2006poster.pdf}, author = {Li, Qing and Kangning Wei and Heckman, Robert and Eseryel, U. Yeliz and Liddy, Elizabeth D. and James Howison and Kevin Crowston and Allen, Eileen E. and Inoue, Keisuke and Harwell, Sarah and Rowe, Steven and McCracken, Nancy} } @proceedings {Crowston:2005e, title = {Effective work practices for FLOSS development: A model and propositions}, year = {2005}, note = {"Effective work practices for Software Engineering: Free/Libre Open Source Software Development". Presentation at the Workshop on Interdisciplinary Software Engineering 2004, SIGSOFT 2004/FSE-12 Conference, Newport Beach, CA, 5 November. Powerpoint file.}, address = {Big Island, Hawai{\textquoteright}i, January}, abstract = {We review the literature on Free/Libre Open Source Software (FLOSS) development and on software development, distributed work and teams more generally to develop a theoretical model to explain the performance of FLOSS teams. The proposed model is based on Hackman{\textquoteright}s [1] model of effectiveness of work teams, with coordination theory [2] and collective mind [3] to extend Hackman{\textquoteright}s model by elaborating team practices relevant to effectiveness in software development. We propose a set of propositions to guide further research.}, doi = {10.1109/HICSS.2005.222}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/22680197a.pdf , https://crowston.syr.edu./sites/crowston.syr.edu/files/041101\%20Wiser\%20Presentation.pdf}, author = {Kevin Crowston and Annabi, Hala and James Howison and Masango, Chengetai} } @proceedings {Crowston:2005a, title = {A structurational perspective on leadership in Free/Libre Open Source Software teams}, year = {2005}, address = {Genova, Italy}, abstract = {In this conceptual paper, we present a structuration-based theory of leadership behaviours in self-organizing virtual distributed teams such as Free/Libre Open Source Software development teams. Such teams are often composed of members of relatively equal status or who are so disparate in background that formal organizational status seems irrelevant, reducing the usual leadership cues provided by organizational status and title. Building on a functional view of leadership and structuration theory, we suggest that leaders are individuals who develop team structures that then guide the actions of team members. Specifically, we examine structures of signification in the form of shared mental models, structures of domination in the form of role structures and structures of legitimation in form of rules and norms. The main contribution of our paper is the integration of various social theories to describe emergent leadership behaviours in distributed teams. We develop a set of propositions and illustrate with examples taken from Free/Libre Open Source Software development teams. We conclude by suggesting future research that might be conducted to test and further elaborate our theory.}, keywords = {FLOSS, Leadership}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/crowston-final.pdf}, author = {Kevin Crowston and Heckman, Robert and Annabi, Hala and Masango, Chengetai} } @conference {2004, title = {Effective work practices for software engineering}, booktitle = {Proceedings of the 2004 ACM workshop on Interdisciplinary software engineering research (WISER {\textquoteright}04)}, year = {2004}, pages = {18}, publisher = {ACM Press}, organization = {ACM Press}, address = {Newport Beach, CA, USA}, abstract = {We review the literature on Free/Libre Open Source Software (FLOSS) development and on software development, distributed work and teams more generally to develop a theoretical model to explain the performance of FLOSS teams. The proposed model is based on Hackman{\textquoteright}s [34] model of effectiveness of work teams, with coordination theory [52] and collective mind [79] to extend Hackman{\textquoteright}s model by elaborating team practices relevant to effectiveness in software development. We propose a set of propositions to guide further research.}, keywords = {FLOSS}, isbn = {1581139888}, doi = {10.1145/1029997.1030003}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/p18-crowston.pdf}, author = {Kevin Crowston and Annabi, Hala and James Howison and Masango, Chengetai} } @article {2004, title = {A structurational model of leadership in virtual distributed groups}, year = {2004}, note = {"A structurational model of the dynamics of Free/Libre Open Source Software development teams". Presentation at the IFIP WG 8.2 OASIS Workshop 2004, Washington, DC, 12 December 2004. (Powerpoint file).}, keywords = {FLOSS}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/crowston_oasis_2004v3.pdf}, author = {Kevin Crowston and Annabi, Hala and Heckman, Robert} } @conference {Crowston:2004c, title = {Towards a portfolio of FLOSS project success measures}, booktitle = {Workshop on Open Source Software Engineering, 26th International Conference on Software Engineering}, year = {2004}, address = {Edinburgh}, abstract = {Project success is one of the most widely used dependent variables in information systems research. However, conventional measures of project success are difficult to apply to Free/Libre Open Source Software projects. In this paper, we present an analysis of four measures of success applied to SourceForge projects: number of members of the extended development community, project activity, bug fixing time and number of downloads. We argue that these four measures provide different insights into the collaboration and control mechanisms of the projects.}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/Towards_a_Portfolio_\%20of\%20_FLOSS_Project.pdf}, author = {Kevin Crowston and Annabi, Hala and James Howison and Masango, Chengetai} } @booklet {2003, title = {Collective Learning in Distributed Groups (Research in progress)}, year = {2003}, publisher = {Syracuse University School of Information Studies}, keywords = {FLOSS}, author = {Annabi, Hala and Kevin Crowston} } @proceedings {Crowston:2003c, title = {Defining Open Source Software project success}, year = {2003}, address = {Seattle, WA, December}, abstract = {Information systems success is one of the most widely used dependent variables in information systems research. In this paper, we identify a range of measures that can be used to assess the success of Open Source Software (OSS) projects. We identify measures based on a review of the literature, a consideration of the OSS development process and an analysis of the opinions of OSS developers. For each measure, we provide examples of how they might be used in a study of OSS development.}, keywords = {FLOSS}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/icis2003success.pdf}, author = {Kevin Crowston and Annabi, Hala and James Howison} } @article {Sawyer:2003, title = {The social embeddedness of transactions: Evidence from the residential real estate industry}, journal = {The Information Society}, volume = {19}, number = {2}, year = {2003}, pages = {135{\textendash}154}, abstract = {Information and communications technologies (ICT) are becoming pervasive in the residential real-estate industry and their usage is affecting the work lives of real-estate agents. Drawing on data from a regional study of the residential real-estate industry in the United States, we focus on the disintermediation or, more accurately, the reintermediation of real-estate agents in the sales process. Using data collected from interviews, direct observation, and archival records, we examine how real-estate agents are (1) taking advantage of new ICT in their work, and (2) protecting themselves from others wishing to displace their position in the real-estate value chain. Our analysis of this activity draws on two contrasting theoretical perspectives to illuminate the roles of residential real-estate agents: transaction cost and social capital. The results of this study provide insights into the ways in which ICT are used to build and draw on the social relationships that underpin the actual transactions, to help guide the process of buying/selling a house, and to invoke expertise as needed. }, keywords = {Computer-Mediated Communication, Coordination, Real Estate}, doi = {10.1080/01972240309460}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/tis2001final.pdf}, author = {Sawyer, Steve and Kevin Crowston and Rolf Wigand and Allbritton, Marcel} } @proceedings {Wigand:2001, title = {Information and communication technologies in the real estate industry: Results of a pilot survey [Research in progress]}, year = {2001}, pages = {339-343}, address = {Bled, Slovenia}, abstract = {We have been studying the growing use of information and communication technologies (ICT) in the residential real estate industry and the effects of this use on how realtors work. Earlier stages of our project involved qualitative research to develop a better understanding of the industry, the work of realtors and their use of ICT. In this paper we report on the results of qualitative research and a pilot of a survey intended to gather large-scale data on realtors and ICT use.}, keywords = {Real Estate}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/ecis2001.pdf}, author = {Rolf Wigand and Kevin Crowston and Sawyer, Steve and Allbritton, Marcel}, editor = {Smithson, Steve and Gricar, Joze and Podlogar, Mateja and Avgerinou, Sophia} } @proceedings {Sawyer:2000, title = {How do information and communication technologies reshape work? Evidence from the residential real estate industry}, year = {2000}, address = {Brisbane, Australia, December 10{\textendash}13}, abstract = {We are exploring how information and communication technology (ICT) use affects the work lives of real estate agents, the process of selling/buying houses, and the overall structure of the residential real estate industry. Earlier stages of our work involved intensive field research on how real estate agents use ICT. In this paper, we report on the design and analysis of a pilot survey of 868 agents intended to investigate their ICT use more generally. Analysis of the 153 responses to this survey sheds light on how ICT use supports information control, enables process support, and helps agents to extend and maintain their social capital.}, keywords = {Real Estate}, attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/00RIP21.pdf}, author = {Sawyer, Steve and Kevin Crowston and Allbritton, Marcel and Rolf Wigand} }