Andrea Prud'homme
Ohio State University, Fisher College of Business, Faculty Member
Research Interests:
This chapter looks at emerging technologies and their use in supply management processes as a means to improve effectiveness through improved speed and accuracy, at a reduced cost. Many technologies are finding their way into supply... more
This chapter looks at emerging technologies and their use in supply management processes as a means to improve effectiveness through improved speed and accuracy, at a reduced cost. Many technologies are finding their way into supply management, with differing levels of penetration and application and with mixed results. It may be challenging for supply management professionals to understand how, when, and where these technologies are likely to yield positive results. This chapter reviews several technologies, including artificial intelligence/machine learning, big data/advanced analytics, blockchain, cloud computing, conversational things (e.g., chatbots), immersive technologies (e.g., virtual and augmented reality), and robotic process automation. Findings indicate that the primary advantages are achieved by improving current processes and workflows, rather than that these technologies are currently disrupting or will fundamentally change supply management. Another important findin...
Research Interests:
Structural equation modeling (SEM) is a powerful, yet complex, analytical technique. The use of SEM to examine strategic management phenomena has increased dramatically in recent years, suggesting that a critical evaluation of the... more
Structural equation modeling (SEM) is a powerful, yet complex, analytical technique. The use of SEM to examine strategic management phenomena has increased dramatically in recent years, suggesting that a critical evaluation of the technique’s implementation is needed. We compared the use of SEM in 92 strategic management studies published in nine prominent journals from 1984 to 2002 to guidelines culled from methodological research. We found that the use and reporting of SEM often have been less than ideal, indicating that authors may be drawing erroneous conclusions about relationships among variables. Given these results, we offer suggestions for researchers on how to better deploy SEM within future inquiry.
Research Interests:
Research Interests:
Research Interests:
Page 97. 5. A Comparison of In-Store vs. Online Grocery Customers1 Andrea M. Prud'homme and Kenneth K. Boyer INTRODUCTION Groceries are a ubiquitous commodity for consumers and a highly competitive industry for... more
Page 97. 5. A Comparison of In-Store vs. Online Grocery Customers1 Andrea M. Prud'homme and Kenneth K. Boyer INTRODUCTION Groceries are a ubiquitous commodity for consumers and a highly competitive industry for grocery providers. ...
Purpose This study examines customers of grocers who provide both online and traditional in-store options to determine if there are substantial differences in customer's perceptions of service quality, product... more
Purpose This study examines customers of grocers who provide both online and traditional in-store options to determine if there are substantial differences in customer's perceptions of service quality, product quality, product range, and sacrifices made when using a specific channel ...
Research Interests:
UMI, ProQuest ® Dissertations & Theses. The world's most comprehensive collection of dissertations and theses. Learn more... ProQuest, Business continuity in the supply chain: Planning for disruptive events. by... more
UMI, ProQuest ® Dissertations & Theses. The world's most comprehensive collection of dissertations and theses. Learn more... ProQuest, Business continuity in the supply chain: Planning for disruptive events. by Prud'homme ...