TY - CHAP
T1 - Sustainable supply chain learning and employee green creativity
T2 - Implications for disruption management and green competitiveness
AU - Acquah, Innocent Senyo Kwasi
AU - Baah, Charles
AU - Agyabeng-Mensah, Yaw
AU - Afum, Ebenezer
PY - 2022
Y1 - 2022
N2 - Exploring ways to maintain and safeguard supply chain operations and performance is essential in today's business environment. Learning from the COVID-19 pandemic situations shows that current or traditional supply chain management strategies are less potent in managing supply chain disruption. The study adopted the partial least square structural equation modelling (PLS-SEM) technique to make data analysis and interpretations because it is considered suitable for predictive research models. Scrutiny of the data showed that sustainable supply chain learning is a critical antecedent for employee green creativity. Both were fundamental to managing supply chain disruptions, promoting green competitiveness and increasing economic performance. Remarkably, among sustainable supply chain learning and employee green creativity, the latter was most robust in predicting disruption management, green competitiveness, and economic performance.
AB - Exploring ways to maintain and safeguard supply chain operations and performance is essential in today's business environment. Learning from the COVID-19 pandemic situations shows that current or traditional supply chain management strategies are less potent in managing supply chain disruption. The study adopted the partial least square structural equation modelling (PLS-SEM) technique to make data analysis and interpretations because it is considered suitable for predictive research models. Scrutiny of the data showed that sustainable supply chain learning is a critical antecedent for employee green creativity. Both were fundamental to managing supply chain disruptions, promoting green competitiveness and increasing economic performance. Remarkably, among sustainable supply chain learning and employee green creativity, the latter was most robust in predicting disruption management, green competitiveness, and economic performance.
UR - https://doi.org/10.4018/978-1-7998-9715-6
UR - https://www.scopus.com/pages/publications/85137204680
U2 - 10.4018/978-1-7998-9715-6.ch012
DO - 10.4018/978-1-7998-9715-6.ch012
M3 - Chapter
SN - 9781799897156
SN - 9781799897163
T3 - Advances in Logistics, Operations, and Management Science (ALOMS)
SP - 243
EP - 261
BT - Increasing supply chain performance in digital society
A2 - Leon, Ramona Diana
A2 - Rodriguez-Rodriguez, Raul
A2 - Alfaro-Saiz, Juan-Jose
PB - IGI Global
CY - Hershey, PA
ER -