Business & Management Research Centre: Youngki Park
Youngki Park
George Washington University School of Business
Ambidextrous Digitalization in Production and Operational Management with Industry
Date: Friday, March 15, 2024
Time: 10:30 am - 12:00 pm EDT
Location: Bronfman Building, Room 046
About:
The study examines digitalization in production and operations management that achieves high firm performance from a holistic systemic perspective. Specifically, it investigates how emerging Industry 4.0 digital technologies (I4.0) (e.g., artificial intelligence, big data analytics, cloud computing, internet of thing) and traditional enterprise information systems (e.g., enterprise resource planning, supply chain management, customer relationship management systems) collectively contribute to competitive firm performance through ambidextrous POM digitalization for both efficiency and growth. We adopt a configurational approach that allows us to explain multiple interdependent relationships among I4.0, EIS technologies and POM digitalization in creating high firm performance. By applying a matching configuration method, fuzzy-set qualitative comparative analysis (fsQCA) to data from 195 large manufacturing firms, we uncover multiple configurations of POM digitalization that produce high firm performance. We find that firms achieve high performance with either efficiency-oriented POM digitalization configurations with EIS or ambidextrous POM digitalization configurations with both EIS and I4.0. Furthermore, our results reveal interesting patterns of ambidextrous POM digitalization: big data analytics focus, cloud computing focus, and full-fledge I4.0, showing a possible evolution pathway to a I4.0-enabled POM digitalization. Overall, our results provide implications for fostering ambidextrous POM digitalization with emerging digital technologies for efficiency and growth to achieve competitive firm performance.
