
IEEE Open Access Journal of Power and Energy, Journal Year: 2024, Volume and Issue: 11, P. 457 - 468
Published: Jan. 1, 2024
Language: Английский
IEEE Open Access Journal of Power and Energy, Journal Year: 2024, Volume and Issue: 11, P. 457 - 468
Published: Jan. 1, 2024
Language: Английский
Structural Change and Economic Dynamics, Journal Year: 2024, Volume and Issue: 70, P. 544 - 566
Published: May 16, 2024
Despite the fact that artificial intelligence (AI) techniques are increasingly influencing economic and societal dynamics, certain aspects of AI's role in structural change, such as enhancing resilience supply chains, have not been thoroughly explored academic research. Thus, we first identify thirteen variables influential shaping transformation food chains. These chosen based on financial, technological, social, organizational challenges to building within chain. Then, generate an interval-valued T-spherical fuzzy CoCoSo'B model uncover AI chain dynamics change sector. After that, explore alleviating factors through generated decision expert interview. The result also reveals advantageAd2"Enhancing information sharing among nodes" (1.983) has most potential influence adoption behavior. outcomes present study can provide a new decision-support technique for uncovering effects
Language: Английский
Citations
6The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 959, P. 178250 - 178250
Published: Jan. 1, 2025
Language: Английский
Citations
0Frontiers of Engineering Management, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 23, 2025
Language: Английский
Citations
0Computers & Chemical Engineering, Journal Year: 2024, Volume and Issue: 192, P. 108902 - 108902
Published: Nov. 2, 2024
Language: Английский
Citations
2Future Foods, Journal Year: 2024, Volume and Issue: 10, P. 100444 - 100444
Published: Aug. 26, 2024
Language: Английский
Citations
1Forests, Journal Year: 2024, Volume and Issue: 15(10), P. 1806 - 1806
Published: Oct. 15, 2024
Forests provide goods and services while maintaining ecological security. However, the market does not adequately reflect their economic benefits, posing a significant challenge to Payments for Forest Ecosystem Services (PFES). The involvement of multiple stakeholders with varying responsibilities interests complicates collaboration hinders effective governance. This study proposes an integrated approach using stakeholder analysis, social network evolutionary game analysis explore collaborative governance in PFES. Through field surveys, empirically investigates PFES China, demonstrating effectiveness this approach. results indicate following: (i) Stakeholders are classified into three categories; key include central local governments, forest managers, paying users. (ii) still need strengthen collaboration. Local employees, communities exert widespread influence; users research institutions have high efficiency resource sharing. (iii) Five evolutionarily stable strategies observed at different stages. Government intervention is crucial changing stagnant state. Benefits government incentives positive impact on findings offer theoretical insights enhance promote development Key addressing stakeholders’ needs, diversifying incentives, establishing accessible information platform.
Language: Английский
Citations
1IEEE Open Access Journal of Power and Energy, Journal Year: 2024, Volume and Issue: 11, P. 457 - 468
Published: Jan. 1, 2024
Language: Английский
Citations
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