@article {9998,
	title = {Examining Open Innovation in Science (OIS): What Open Innovation can and cannot offer the science of science},
	journal = {Innovation: Organization \& Management},
	year = {2021},
	abstract = {<p>Scholars across disciplines increasingly hear calls for more open and collaborative approaches to scientific research. The concept of Open Innovation in Science (OIS) provides a framework that integrates dispersed research efforts aiming to understand the antecedents, contingencies, and consequences of applying open and collaborative research practices. While the OIS framework has already been taken up by science of science scholars, its conceptual underpinnings require further specification. In this essay, we critically examine the OIS concept and bring to light two key aspects: 1) how OIS builds upon Open Innovation (OI) research by adopting its attention to boundary-crossing knowledge flows and by adapting other concepts developed and researched in OI to the science context as exemplified by two OIS cases in the area of research funding; 2) how OIS conceptualises knowledge flows across boundaries. While OI typically focuses on well-defined organizational boundaries, we argue that blurry and even invisible boundaries between communities of practice may more strongly constrain flows of knowledge related to openness and collaboration in science. Given the uptake of this concept, this essay brings needed clarity to the meaning of OIS, which has no particular normative orientation toward a close coupling between science and industry. We end by outlining the essay{\textquoteright}s contributions to OI and the science of science, as well as to science practitioners.</p>},
	doi = {10.1080/14479338.2021.1999248},
	author = {Susanne Beck and Marcel LaFlamme and Carsten Bergenholtz and Marcel Bogers and Tiare-Maria Brasseur and Marie-Louise Conradsen and Kevin Crowston and Diletta Di Marco and Agnes Effert and Despoina Filiou and Lars Frederiksen and Thomas Gillier and Marc Gruber and Carolin Haeussler and Karin Hoisl and Olga Kokshagina and Maria-Theresa Norn and Marion Poetz and Gernot Pruschak and Laia Pujol Priego and Agnieszka Radziwon and Alexander Ruser and Henry Sauermann and Sonali Shah and Julia Suess-Reyes and Christopher L. Tucci and Philipp Tuertscher and Jane Bj{\o}rn Vedel and Roberto Verganti and Jonathan Wareham and Sunny Mosangzi Xu}
}
@article {2020,
	title = {GitLab: Work where you want, when you want},
	journal = {Journal of Organizational Design},
	volume = {9},
	year = {2020},
	month = {2020/11/16},
	pages = {23},
	abstract = {<p>GitLab is a software company that works {\textquotedblleft}all remote{\textquotedblright} at the scale of more than 1000 employees located in more than 60 countries. GitLab has no physical office and its employees can work from anywhere they choose. Any step of the organizational life of a GitLab employee (e.g., hiring, onboarding and firing) is performed remotely, except for a yearly companywide gathering. GitLab strongly relies on asynchronous coordination, allowing employees to work anytime they want. After highlighting some of the main practices implemented by GitLab to effectively work all remotely and asynchronously, I asked renowned organizational scientists their thoughts on this interesting case and to question the generalizability of the all remote asynchronous model. Understanding whether and under what conditions this model can succeed can be of guidance for organizational designers that are now considering different remote models in response of the COVID-19 shock and its aftermath.</p>},
	isbn = {2245-408X},
	doi = {10.1186/s41469-020-00087-8},
	attachments = {https://floss.syr.edu/sites/crowston.syr.edu/files/s41469-020-00087-8.pdf},
	author = {Choudhury, Prithwiraj and Crowston, Kevin and Dahlander, Linus and Minervini, Marco S. and Raghuram, Sumita}
}
@proceedings {2013,
	title = {Open Source Software Adoption: A Technological Innovation Perspective},
	year = {2013},
	month = {5/2013},
	address = {Lyon, France},
	abstract = {This research-in-progress aims to indentify the salient factors explaining adoption of open source software (OSS), as a technological innovation. The theoretical background of the paper is based on the technological innovation literature. We choose to focus on the open ERP case, as it is considered as a promising innovation for firms {\textendash} especially medium firms - but open ERP also faces numerous challenges. The paper provides a framework and a method for investigation that has to be implemented.},
	url = {http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2244222},
	author = {Kevin Crowston and Fran{\c c}ois Deltour and Nicolas Jullien}
}
