The organizational collaboration framework of smart logistics ecological chain: a multi-case study in China
Industrial Management & Data Systems
ISSN: 0263-5577
Article publication date: 13 August 2020
Issue publication date: 23 September 2021
Abstract
Purpose
This study explores the influencing factors of smart logistics ecological chain's (SLEC's) organizational collaboration and designs a corresponding conceptual framework.
Design/methodology/approach
The multi-case study is applied to this paper. Specifically, this study is a combination of exploratory and explanatory case studies.
Findings
The findings are threefold. First, empowerment capability and the information-sharing level are unique factors that affect SLEC's organizational collaboration. Second, greater empowerment capability stimulates the increase of information-sharing level. Third, emerging digital technology, personalized demand and peer competition affect the degree of SLEC's organizational collaboration through an intermediary variable – empowerment capability. Specifically, the emerging digital technology application and peer competition degrees have positive effects on empowerment capability, while the demand personalization degree negatively (positively) affects empowerment capability in the short (long) term.
Originality/value
As an important part of supply chain performance, organizational collaboration is receiving more attention. However, in the smart economy context, no theoretical framework exists for analyzing factors that affect the organizational collaboration degree of SLEC. This study fills this gap.
Keywords
Acknowledgements
This research was funded by the National Key R&D Program of China (grant number No. 2018YFB1601400) and sponsored by the Independent Innovation Foundation of Tianjin University (Grant No. 2020XZC-0092). The reviewers' comments are also highly appreciated.
Citation
Liu, W., Liang, Y., Wei, S. and Wu, P. (2021), "The organizational collaboration framework of smart logistics ecological chain: a multi-case study in China", Industrial Management & Data Systems, Vol. 121 No. 9, pp. 2026-2047. https://doi.org/10.1108/IMDS-02-2020-0082
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited