UNISON framework of data-driven tripartite evolutionary game-based knowledge sharing decision for digital servitization

Lin, Kuo-Yi; Hu, Li; Zhang, Ke

doi:10.1016/j.cie.2024.109935

Cited by 6 publications

(1 citation statement)

References 58 publications

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“…Therefore, conducting research on developing a sustainable, scientifically robust methodology for evaluating the benefits [2] of power supply projects is essential. The motivation is to ensure the integrity of construction, operations [3], and management practices [4], addressing the need for comprehensive assessment tools in the face of environmental, economic, and technological complexities.…”

Section: Introductionmentioning

confidence: 99%

A Cloud- and Game Model-Based Approach to Project Evaluations of Sustainable Power Supply Investments

Lin,

2024

Sustainability

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In light of electrical energy’s increasing role in economic systems worldwide, prioritizing investments in sustainable power supplies has become paramount. This study proposes a model based on cloud theory and game theory to evaluate sustainable power supply investment projects. It establishes a foundation for assessing the merits of power supply investments, which are crucial for continuous electricity provision and economic advancement. By integrating an enhanced analytic hierarchy process and the entropy method, the study develops a dual-weighted evaluative index system. This hybrid approach addresses ambiguities and enhances the weight determination accuracy, which, when applied to the Liaojiawan Transformer Substation, verifies the project’s high benefit level, corroborated by empirical data. This innovative methodology offers a strategic framework for future power supply investments.

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Section: Introductionmentioning

confidence: 99%

A Cloud- and Game Model-Based Approach to Project Evaluations of Sustainable Power Supply Investments

Lin,

2024

Sustainability

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Information‐Sharing Strategies Based on Trust Risks Under a Governmental Incentive Mechanism

Fu,

Niu,

Han

2024

Manage Decis Econ

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Due to swift shifts in market demand and variable production capacities within the chip industry, trust risks between upstream and downstream entities can readily develop, leading to challenges in information sharing. To tackle this challenge, this paper develops a two‐level evolutionary game model between vehicle manufacturers and chip suppliers. It examines the effects of government rewards and penalties, trust risks, and spillover benefits from information sharing on the strategic decisions of both parties. Furthermore, the paper investigates system evolution strategies under three distinct government policies: forced, fair, and favored. The findings show that as trust risks escalate, both entities in the supply chain tend to withhold information due to concerns over losing their unique competitive advantages. However, enhancing spillover benefits through information sharing positively impacts the mitigation of trust risks. Numerical simulations demonstrate that while a government‐forced policy with increased penalties may boost information sharing in the short term, it proves less effective over the long term. Conversely, preferred rewards and subsidies under equitable policies can significantly boost one party's readiness to share information, thus enhancing cooperation between the two parties. The paper also offers countermeasures and recommendations. For instance, it suggests that upstream and downstream enterprises should not only foster mutual trust but also vigilantly track government policy directions to develop effective information‐sharing strategies. Furthermore, government industrial policies should fully consider the actual market conditions to alleviate trust risks between upstream and downstream entities and promote information sharing among enterprises.

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Energy-efficiency and safety-driven multidimensional evolutionary game for AGVs transportation at automated container terminals

Xu,

Fan,

2024

Computers & Industrial Engineering

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UNISON framework of data-driven tripartite evolutionary game-based knowledge sharing decision for digital servitization

Cited by 6 publications

References 58 publications

A Cloud- and Game Model-Based Approach to Project Evaluations of Sustainable Power Supply Investments

A Cloud- and Game Model-Based Approach to Project Evaluations of Sustainable Power Supply Investments

Information‐Sharing Strategies Based on Trust Risks Under a Governmental Incentive Mechanism

Energy-efficiency and safety-driven multidimensional evolutionary game for AGVs transportation at automated container terminals

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