Josue Reynoso

Josue Reynoso

Contact

  • Assistant Professor of Entrepreneurship and Management, College of Business
  • PhD, Strategy, Innovation & Entrepreneurship, Rensselaer Polytechnic Institute
  • MS, Business of Technological Innovation, Universidad Panamericana (Mexico)
  • BS, Mechatronic Engineering, Universidad Panamericana (Mexico)

Biography

Dr. Josué Reynoso joined MTU in 2019. He obtained his doctoral degree from Rensselaer Polytechnic Institute and his dissertation explores how organizations and individuals identify opportunities for the commercialization of advanced technologies. He is a member of, and has presented his research at the Academy of Management (AOM), the Strategic Management Society (SMS), and the Product Development Management Association.  In 2017 he received the award to the best student paper at the PDMA Research Forum in Chicago.

Prior to starting his doctoral studies, he was Assistant Professor and Head of the Computer Aided Engineering Center at the Engineering School of Universidad Panamericana in Guadalajara, Mexico. Josue also worked as application and process engineer in the automotive, software, and metal-mechanic industries where he led the largest implementation of PDM software in Latin America; designed and implemented a production line for the assembly of automotive bezels; and developed products for the medical and electronics industries. In 2010, he was also the first to obtain the certification as expert in the mechanical design software SolidWorks (CSWE) in Mexico.

His entrepreneurial experience includes cofounding a product-development company that developed consumer electronics and founding a short-lived company which provided training and consulting services for product development teams.

Teaching Interest

  • Technology Entrepreneurship

  • Innovation Management

  • Corporate Entrepreneurship

  • Commercialization of Advanced Technologies

Research Interests

  • Opportunity Identification
  • Innovation Management

  • Industry Dynamics

  • Problem Solving

  • Complexity Theory