Semantic Scholar Open Access 2020 101 sitasi

Logistics innovation capability and its impacts on the supply chain risks in the Industry 4.0 era

Michael Wang Sobhan Asian Lincoln C. Wood Bill Wang

Abstrak

The purpose of the paper is to present an empirical study on the logistics innovation capability and its impacts on the supply chain risk in the Australian courier firms. Based on the resource-based review, logistics innovation capability provides valuable insight into mitigating supply chain risks in the Industry 4.0 era.,The research model focuses on the relationships between logistics innovation capability and supply chain risk. Partial least squares approach for structural equation modelling is used to validate the research model by empirically analysing survey data.,The empirical result shows negative relationships between logistics innovation capability and supply chain risks. These relationships may imply that firms can mitigate the negative impacts of supply chain risks by developing logistics innovation capabilities. The findings demonstrate the applicability of logistics innovation capability for mitigating supply chain risks in the Australian courier firms.,There are very few empirical studies on the mitigating supply chain risk through logistics innovation capability. The empirical results provide an insight into innovation management and risk management in logistics and supply chain. This insight offers practical guidance for developing and deploying logistics innovation capability to support and enable supply chain risk management strategies in the Industry 4.0 era.

Topik & Kata Kunci

Penulis (4)

M

Michael Wang

S

Sobhan Asian

L

Lincoln C. Wood

B

Bill Wang

Format Sitasi

Wang, M., Asian, S., Wood, L.C., Wang, B. (2020). Logistics innovation capability and its impacts on the supply chain risks in the Industry 4.0 era. https://doi.org/10.1108/mscra-07-2019-0015

Akses Cepat

Lihat di Sumber doi.org/10.1108/mscra-07-2019-0015
Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Total Sitasi
101×
Sumber Database
Semantic Scholar
DOI
10.1108/mscra-07-2019-0015
Akses
Open Access ✓