Abstract
•This study contributes to the supply chain ambidexterity theory by scrutinizing its boundary conditions.•Combining simulation and empirical evidence, it provides significant insights into the value of an ambidextrous supply chain configuration.•Our findings reveal that an ambidextrous supply chain configuration proves effective amid paradoxical tensions arising from a performance landscape marked by low munificence, high complexity, and high turbulence.•The use of our distinctive NK simulation model sheds light on the intricate interactions among the dimensions of the supply chain performance landscape.
Our research delves into the impact of ambidextrous supply chain activity configurations on performance, particularly in the dynamic and complex contexts of today's business landscape. Drawing from the rich literature on paradox theory, we aim to unravel the efficacy of ambidextrous supply chain setup in mitigating the tensions inherent in managing dynamism, complexities, munificence, and, as well as understanding the contextual factors that modulate this efficacy. To accomplish this, we construct a computational model that captures the resource allocation and search behavior of the ambidextrous supply chain archetype within the ever-shifting terrain of performance. Our findings reveal that ambidextrous supply chain configurations excel at reconciling paradoxical tensions stemming from high complexity, limited resource abundance, and turbulent market conditions. Empirical data substantiate these findings.
