Mo Chen is an Assistant Professor of Management and Organizations at NYU Shanghai. She obtained a PhD in Strategic Management from the University of Maryland.
Chen’s research focuses on how interdependence and uncertainty impact adaptation and coordination in a multi-agent and goal-oriented complex system. Methodologically, she applies formal and computational models and conducts large-sample statistical analysis using algorithmic learning and natural language processing. Phenomenally, her research can be grouped into two broad categories: corporate strategy and innovation and entrepreneurship. Within the first category, she studies corporate structures and inter-divisional interactions, especially the effects and performance of diversification. Within the second category, she investigates knowledge and capability transfer and sharing in innovation adoption and entrepreneurship. Her primary research context is open-source software.
Prior to joining NYU Shanghai, she was an Instructor in Strategic Management at the University of Maryland.
Klein, P., Wuebker, R., Chen, M., and Zoeller, K. 2021. Evaluating an Organizational Innovation: evidence from the conglomerate merger wave. Industrial and Corporate Change. Forthcoming.
Aggarwal, V., Chen, M., and Wu, B. 2021. Market Entry. Oxford Bibliographies in Management. Oxford University Press. Forthcoming. (Invited chapter; provisionally accepted.)
Aggarwal, V., Chen, M., and Wu, B. 2021. Market Exit. Oxford Bibliographies in Management. Oxford University Press. Forthcoming. (Invited chapter; provisionally accepted.)
Chen, M., Kaul, A., and Wu, B. 2019. Adaptation on Multiple Landscapes: Relatedness, Complexity, and Inter-Temporal Coordination Costs. Strategic Management Journal. 40(11): 1791-1821.
PhD, Strategic Management
University of Maryland
Knowledge and Innovation
Adaptive Complex Systems