Levina, Natalia
Natalia Levina is an Associate Professor in the Information, Operations, and Management Sciences department at the Stern School of Business, New York University. Prof. Levina uses organizational theories to understand strategic and operational complexities involved in managing multi-party collaborative relationships focused on innovation. She investigates how diverse professional, organizational, and cultural backgrounds of project participants influence collaboration effectiveness and innovation on projects. Her current research focuses on open innovation, global sourcing, and crowdsourcing. She has been awarded an NSF grant for studying open innovation and crowdsourcing as well as Alfred P. Sloan Industry Studies Fellowship and IBM faculty fellowship for studying innovation management practices in global sourcing. Prof. Levina’s work has been published in numerous academic journals including among others Information Systems Research, MIS Quarterly, Journal of MIS, Decision Sciences, Organization Science, and Academy of Management Journal and received a number of awards from academic societies. She serves as a senior editor at Information Systems Research and as invited Senior Editor on a special issue of the European Journal of IS as well as invited Associate Editor at MIS Quarterly (2 special issues). She is an editorial board member of Information and Organizations and has been an editorial board member at Organization Science. She has served as an Associated Editor in ICIS conferences throughout the past ten years and is the incoming program co-chair for ICIS 2016 Dublin. She is the founding vice chair for the AIS Special Interest Group (SIG) on Grounded Theory Methods (GTM). She is also an executive board member of OCIS division of the Academy of Management. Prof. Levina’s teaching portfolio includes such courses as “Globalization, Open Innovation, and Crowdsourding,” (MBA and Exec MBA), “IT in Business and Society” (undergraduate), and “IT in Organizations” (PhD seminar). She has received her B.A. in Computer Science and Mathematics from Boston University, M.A. in Mathematics from Boston University, and Ph.D. in Information Technologies from the Massachusetts Institute of Technology, Sloan School of Management.