In order to explore the impact of a manufacturer’s or retailer’s undertaking corporate social responsibility (CSR) and different power structures on their joint green marketing decisions and profits in the green supply chain, this paper establishes green supply chain optimization models under six different decision-making scenarios according to two different CSR bearers and three different power structures. Based on the main assumptions of a linear product demand function and CSR measured by consumer surplus, this paper solves the equilibrium solutions of the manufacturer and the retailer through game theory. The results show that: First, the difference in the degree of CSR undertaken by manufacturers and retailers leads to a difference in the ranking of optimal strategies of both parties under the three power structures. Second, under the same power structure, compared with undertaking CSR by oneself, when the other party undertakes CSR, the level of the product’s green degree, the level of green promotion, the party’s own profit, and the profit of the other party are all higher. Third, regardless of the power structure, manufacturers and retailers undertaking CSR is conducive to improving the level of product greenness, increasing green promotion, lowering the retail price, increasing consumers’ willingness to buy green products, and ultimately helping to increase the profits of manufacturers and retailers.
Capital and technology gradually replace land and labor factors to become the important production factors of enterprises, especially for artificial intelligence enterprises. How to use capital and technology factors to enhance enterprise value becomes an important topic when artificial intelligence enterprises are affected by internal and external factors. Using data from 55 AI concept companies, a multiple regression model was constructed to verify the mediating role of capital and technology, judge the dynamics of the two elements dialectically, and explore the paths that shape the value enhancement of AI companies. The study found that both degree of enterprise attention and government support positively affect firm value, and that the mediating role of both capital and technology is more pronounced. However, compared to the technology element, the capital element plays a leading role in the value enhancement mechanism of AI companies, with physical capital being the most effective, and strengthening the capital element is a more sensible path choice to increase the value of companies in the short term. However, in the long term, as the business cycle and the external environment change, the technology element is a driving force that cannot be underestimated.