Dr. Maria Jesus Saenz presented her latest research at AOM2019 this past week in Boston. Maria’s research and talks featured two papers, The Trade-Offs of Resilience and Efficiency in Synchromodal Supply Chains: An Empirical Analysis Practice-oriented and Facilitating Digital Supply Chain Transformations: The influence of Dynamic Capabilities. View the session recap below.
Session Type: Paper Session
Program Session: 1812 | Submission: 20956 | Sponsor(s): (OSCM)
Facilitating Digital Supply Chain Transformations: The influence of Dynamic Capabilities
Authors: Christoph Lennartz, WHU – Otto Beisheim School of Management, Maria Jesus Saenz, Massachusetts Institute of Technology, Carl Marcus Wallenburg, WHU – Otto Beisheim School of Management
In this paper, we empirically develop and evaluate a framework that describes in the context of digital supply chain transformations the role of dynamic capabilities, differentiated in sensing, seizing, and transforming. Furthermore, we describe how transformational levers of leadership approach, investment decision process, and organizational digital team activate the dynamic capabilities in this endeavor. Applying multiple case study research, we investigate 17 large-size, international companies that are actively involved in a digital supply chain transformation. Via the analysis of more than 3500 codes, we have discovered, how existing and novel transformational levers (bottom-up with top-down leadership approaches, digital with traditional investment processes, functional with coordinating and advanced digital team) reinforce each other to enhance dynamic capabilities. These findings provide executives with actionable implications for their digital supply chain transformation.
Session Type: Paper Session
Program Session: 2170 | Submission: 20959 | Sponsor(s): (OSCM)
The Trade-Offs of Resilience and Efficiency in Synchromodal Supply Chains: An Empirical Analysis
Authors: Beatriz Acero, MIT-ZARAGOZA LOGISTICS CENTER, Maria Jesus Saenz, Massachusetts Institute of Technology
Synchromodality is a novel transportation approach in which shippers and logistics companies work together to find the optimum transport mode based on real-time information. Synchromodality originated as an innovative approach to increasing supply chain efficiency and resilience through the use of multimodal transportation; however, existing research remains limited and focused on single-firm analyses. In our survey research, we collected data from 157 European logistics companies with global coverage. Structural equation modeling was used to assess the relationship of synchromodality with efficiency and resilience. The results from the path model provide evidence of a significant relationship between synchromodality, efficiency, and resilience. Additionally, this study aimed to shed light on the relationship between efficiency and resilience, as existing research presents conflicting theories. Based on a configurational approach, a cluster analysis was used to develop a taxonomy of the efficiency- resilience relationship based on different synchromodal contexts measured by the four underlying dimensions of synchromodality (visibility, flexibility, integration, and operating systems). The findings of both the path analysis and the configuration approach contribute to the understanding of synchromodality and provide insight into the effect of its implementation in the supply chain. Additionally, our research deepens the understanding of the relationship between efficiency and resilience.