TY - JOUR
T1 - Relationship among demand updating, decision-making behaviours and performance in logistics service supply chains
T2 - an exploratory study from China
AU - Liu, Weihua
AU - Liu, Yang
AU - Chen, Lujie
AU - Si, Cheng
AU - Long, Shangsong
N1 - Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2019/7/4
Y1 - 2019/7/4
N2 - The performance of the logistics service supply chain (LSSC) is not only affected by external demand changes, but also by the decision-making behaviours of LSSC members, including logistics service integrators (LSI) and functional logistics service providers (FLSP). This paper establishes a structural equation model for assessing the relationships among demand updating, decision-making behaviours and supply chain performance. The model is validated by questionnaire data from China using the SmartPLS method. There are many important conclusions. Firstly, demand updating acting as an intermediary variable does not have a direct impact on supply chain performance. Secondly, demand updating has a more positive impact on LSI than FLSP. Meanwhile, LSI has a positive impact on FLSP’s behaviours. Thirdly, the contribution of LSI’s behaviours towards improving the supply chain performance is only slightly greater than that of FLSP. Therefore, LSI should focus on improving its own behaviours to avoid being overtaken by FLSP.
AB - The performance of the logistics service supply chain (LSSC) is not only affected by external demand changes, but also by the decision-making behaviours of LSSC members, including logistics service integrators (LSI) and functional logistics service providers (FLSP). This paper establishes a structural equation model for assessing the relationships among demand updating, decision-making behaviours and supply chain performance. The model is validated by questionnaire data from China using the SmartPLS method. There are many important conclusions. Firstly, demand updating acting as an intermediary variable does not have a direct impact on supply chain performance. Secondly, demand updating has a more positive impact on LSI than FLSP. Meanwhile, LSI has a positive impact on FLSP’s behaviours. Thirdly, the contribution of LSI’s behaviours towards improving the supply chain performance is only slightly greater than that of FLSP. Therefore, LSI should focus on improving its own behaviours to avoid being overtaken by FLSP.
KW - Logistics service supply chain
KW - behavioural operations management
KW - demand updating
KW - empirical examination
KW - structural equation model
UR - http://www.scopus.com/inward/record.url?scp=85057739806&partnerID=8YFLogxK
U2 - 10.1080/13675567.2018.1546837
DO - 10.1080/13675567.2018.1546837
M3 - Article
AN - SCOPUS:85057739806
SN - 1367-5567
VL - 22
SP - 393
EP - 418
JO - International Journal of Logistics Research and Applications
JF - International Journal of Logistics Research and Applications
IS - 4
ER -