School of Engineering
Showing 201-250 of 557 Results
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Arvind Karunakaran
Assistant Professor of Management Science and Engineering
Current Research and Scholarly InterestsAreas of Research:
Sociology of Work and Occupations/Professions
Organization Theory
Technological/Organizational change
Topics:
Authority in the Workplace
Accountability (Professional, Organizational, Algorithmic)
Phenomena:
Social/Algorithmic Evaluation (of Job applicants, Employees, Startups)
AI in the workplace
Social Media Scrutiny of Frontline Professionals
Conflicts in Symmetrical vs. Asymmetrical Relations
Diversity and Inclusion in Tech
Sustainability/ESG initiatives -
Riitta Katila
W.M. Keck Professor and Professor of Management Science and Engineering
Current Research and Scholarly InterestsThe question that drives Prof. Katila's research is how technology-based firms with significant resources can stay innovative. Her work lies at the intersection of the fields of technology, innovation, and strategy and focuses on strategies that enable organizations to discover, develop and commercialize technologies. She combines theory with longitudinal large-sample data (e.g., robotics, biomedical, platform and multi-industry datasets), background fieldwork, and state-of-the-art quantitative methods. The ultimate objective is to understand what makes technology-based firms successful.
To answer this question, Prof. Katila conducts two interrelated streams of research. She studies (1) strategies that help firms leverage their existing resources (leverage stream), and (2) strategies through which firms can acquire new resources (acquisition stream) to create innovation. Her early contributions were firm centric while recent contributions focus on innovation in the context of competitive interaction and ecosystems.
Professor Katila's work has appeared in the Academy of Management Journal, Administrative Science Quarterly, Organization Science, Strategic Entrepreneurship Journal, Strategy Science, Strategic Management Journal, Research Policy and other outlets. In her work, supported by the National Science Foundation, Katila examines how firms create new products successfully. Focusing on the robotics and medical device industries, she investigates how different search approaches, such as the exploitation of existing knowledge and the exploration for new knowledge, influence the kinds of new products that technology-intensive firms introduce. -
Jiajin Li
Postdoctoral Scholar, Management Science and Engineering
BioI am a postdoctoral researcher in Department of Management Science and Engineering (MS&E) at Stanford University, hosted by Prof. Jose Blanchet. Previously, I received my Ph.D. degree in Department of Systems Engineering and Engineering Management from the Chinese University of Hong Kong (CUHK) in 2021, where I was fortunate to be advised by Prof. Anthony Man-Cho So.
My research lies in the intersection between optimization, applied probability, and machine learning.
More Information: https://gerrili1996.github.io/
