Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4943110 | Expert Systems with Applications | 2017 | 29 Pages |
Abstract
Although many researchers have investigated VEs and their agility, the research pays less attention to the relationship between VEs and agility in complex SC situations. This paper therefore investigates the relationship between VE and agility in SCs (ASCs) and explores drivers and enablers of agility and outcomes. To clarify the relationships between factors a structural equation model (SEM) is adopted to examine the model fit according to the measurement variables and supporting hypotheses. The results provide rich empirical evidence of the beneficial impact of VEs on ASCs, and theoretical and managerial insights that can be used to strengthen the drivers, enablers and capabilities to enhance the effectiveness of VE collaboration in ASCs in a global and dynamic context. Also, the analysis results can aid a decision maker which ones of the factors are the important ones that he or she should devote more resources and efforts on.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ariunbayar Samdantsoodol, Shuang Cang, Hongnian Yu, Alan Eardley, Asralt Buyantsogt,