Research on the Evolution of New Energy Industry Financing Ecosystem Under the Background of Big Data

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Abstract

As a disruptive technological change in IT industry, big data has changed the traditional information asymmetry and physical area barrier, which has brought profound changes to the strategic management, organizational structure, business decision-making and operating model of modern enterprises. Data and information have become important emerging factors of production, changing the management and financing methods of new energy industry. At the same time, ecological theory is extended to the field of new energy industry financing, and it becomes a new trend to study the new energy industry financing ecosystem. Based on the in-depth analysis of big data and new energy industry financing ecosystem, we combine the life cycle theory and construct logistic model to analyze the evolution process of new energy industry financing ecosystem in the context of big data, and find that China's new energy industry financing ecosystem has entered the growth stage, but it has not yet achieved efficient collaborative evolutionary development. By reshaping the new energy industry financing ecosystem with big data as the core resource, constructing a big channel of data exchange for the new energy industry financing ecosystem in all aspects, innovating the key business and processes in the system with big data as the core, and obtaining the competitive advantage of the new energy industry financing ecosystem, building a big data information sharing platform to promote open collaborative innovation in the new energy industry financing ecosystem. We can provide strong support for the continuous optimization and collaborative evolution of the new energy industry financing ecosystem in the context of big data.

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APA

Wang, H., & Wu, Q. (2023). Research on the Evolution of New Energy Industry Financing Ecosystem Under the Background of Big Data. In Communications in Computer and Information Science (Vol. 1796 CCIS, pp. 139–154). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-3300-6_11

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