Abstract
After entering the new century, the rapid development of information technology has brought a huge impact to traditional social life, which has also triggered drastic changes in the production environment of enterprises. As long as we seize the opportunity of the development of the times, we will quickly accumulate huge wealth. Some new types of companies have surpassed traditional large companies with decades of history in a short period of time, which makes entrepreneurship very attractive. At the same time, the state has also given strong support to people’s entrepreneurship, encouraging capable people to start their own businesses in terms of policies and funds, which has stimulated a wave of entrepreneurship among the people. However, due to the short period of time for the construction of China’s market economy system, the vast majority of new ventures cannot obtain sufficient resource stock to grow and develop and can only turn to the external market to seek opportunities for development. Entrepreneurial bricolage has become a “keyword of the times” in recent years under this background. Previous studies have shown that entrepreneurial bricolage has a relatively positive effect in alleviating the plight of enterprise development resources, and many new ventures regard it as an important way to obtain development resources. The development of big data and artificial intelligence decision-making provides more possibilities for information sharing and personalized analysis and also gives new ventures more opportunities to choose development resources that suit their own characteristics. However, from the actual situation, it is obvious that Chinese enterprises have not achieved very obvious results in how to make full use of big data and artificial intelligence decision-making technology to improve their entrepreneurial and bricolage capabilities. Based on the technical support provided by big data and artificial intelligence decision-making, this research studies the entrepreneurial bricolage activities of China’s new ventures in this context, through the questionnaire survey and tracking analysis of 135 enterprises established in the two provinces from 2015 to 2020. After comparative analysis of a large amount of data, it is found that enterprises that combine big data and artificial intelligence technologies can obtain more high-quality resources and make more informed decisions in the process of starting a business. It can be concluded that the companies that have excellent application of big data and artificial intelligence decision-making technology have more opportunities to obtain ideal resources in entrepreneurial bricolage. The study conducted an in-depth analysis of the problems of China’s new ventures in entrepreneurial bricolage and put forward suggestions for improvement based on the specific conditions of this type of enterprise. It is hoped that it can help start-ups to realize the alleviation of resource constraints.
Highlights
IntroductionThe arrival of the era of big data has revolutionized the industrial structure of society
The results show that the overall reliability of the questionnaire is 0.883, among which the reliability values of entrepreneurial bricolage, opportunity development, and entrepreneurial performance are all above 0.824, which can be concluded that the internal reliability of the questionnaire is quite high
Some of them are out of troublesome mentality, and some of them suffer from the lack of a piece of partners and have to do everything by themselves. This phenomenon is very detrimental to the development of new ventures [10]
Summary
The arrival of the era of big data has revolutionized the industrial structure of society. The essence of big data is the aggregation of complex data. Its basic mode of operation is the collection and processing of information. The way big data technology collects and processes information is different from general data processing technology. The data collected through big data technology can be sorted into valuable information in the hands of professionals, and the analysis and sorting of the Wireless Communications and Mobile Computing collected data can greatly improve the decision-making ability of managers. The role of big data in organizational management, decision-making, and operation determines its practical value, and this value will continue to deepen and innovate. Its impact on organizational management has become a symbol of the era of big data
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
