The continuous advancement and promotion of green energy products are gradually reducing consumers’ dependence on traditional energy sources. Due to the limitations of big data applications and constraints of AI technology diffusion, the adoption of green energy has yet to achieve widespread implementation or full consumer acceptance. Having employed a tripartite game-theoretic approach, this study selected governments, enterprises, and consumers as key players to analyze the evolutionary game strategies in AI-driven green energy innovation. A three-party evolutionary game model was constructed and adopted, in order to reveal critical factors that affect the decisions of these stakeholders on green energy innovation and consumption. The findings indicated a positive correlation between the intensity of consumer preference for green energy products and enterprises’ decisions to pursue the related AI-enhanced innovation. Although firms still weigh the impact incurred by the costs of research and development on profitability, the likelihood of enterprises engaging in AI-driven green energy innovation increases significantly alongside the elevating consumer preference for green energy products.
Environmental pollution is a headache nowadays. It is observed that waste from industries plays a vital role in environmental pollution. So, in this study, it is tried to reduce the amount of waste materials and try to make it suitable for reuse. In today's market, it is impossible to survive in the market without the help of advertising. Therefore, advertisement for quick information about a product to its customer is used in this study. The demand for 3D printing techniques is increasing day by day for their utilization in the fields of agriculture, education, medicine, automobiles, mobile phones, aircraft, spaceships, etc. In today's era, with the advancement of technology, 3D printing is becoming more and more popular in manufacturing, health care, and many other sectors. Therefore, a production model with waste minimization and utilization of 3D printing is formulated in this study. This study primarily aims to determine optimal cycle length, production rate, and the optimal amount of inventory model technique by synthesizing the carbon emission rate with minimizing the total cost. A numerical example is presented to illustrate the characteristics and progress of the economic production quantity (EPQ) model.
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