Optimizing Timber Supply Chains: Exploring the Potential of Digital Collaboration

Chenglin Ma (), Xurui Gao (), Lin Zhang and Wenchao Kang
Additional contact information
Chenglin Ma: College of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China
Xurui Gao: College of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China
Lin Zhang: College of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China
Wenchao Kang: College of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China

Sustainability, 2024, vol. 17, issue 1, 1-20

Abstract: Digital intelligent supply chains strengthen industrial resilience and optimize economic efficiency in the timber industry. Information asymmetry and low collaboration efficiency remain key challenges across the timber supply chain. This study develops a three-party evolutionary game model examining digital collaboration between timber production and processing enterprises, finished product distribution and retail enterprises, and third-party service providers, introducing third-party service providers alongside traditional production and distribution enterprises. The model incorporates novel parameters including information sharing degree, value-added reliability gains, and free-riding coefficients to reflect real-world circumstances. Through equilibrium simulation and analysis, we identify four possible evolutionary states. The results demonstrate that successful digital collaboration in timber supply chains relies on three conditions: a high level of initial stakeholder involvement accelerates the formation of supply chain digital intelligent collaborative mechanisms, equitable benefit distribution maintains long-term cooperation, and integrated third-party services reduce implementation costs while improving information reliability. These findings provide a new perspective and reference for timber enterprises to implement digital transformation strategies.

Keywords: wood processing; supply chain traceability; intelligent cooperation; simulation; strategies; evolutionary game (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/17/1/15/pdf (application/pdf)
https://www.mdpi.com/2071-1050/17/1/15/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2024:i:1:p:15-:d:1551596

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().