An Empiracal Study On The Relationship Among Entrepreneurial Bricolage, Entrepreneurial Alertness And Entrepreneurial Opportunity Identification

In recent years,with the continuous deepening of reform and opening up,the constant changes in national policies.The research in the management academic circles on the theory of entrepreneurship has become increasingly abundant,and many major theoretical results have been produced.According to statistics of China Knowledge Network,in 2017,a total of 35,172 entrepreneurial articles were published,which was the highest in calendar years.At the same time,according to the State’s Report on Entrepreneurship in 2017,China’s Entrepreneurial Activity Index(TEA)in early 2017 has surpassed the United States,indicating that the application of entrepreneurial theory is still promising.Statistics show that there are still many problems in China’s start-up companies,and the success rate of entrepreneurship is still very low.The average life span of start-up companies is less than 3 years,and the vast majority are only 1 year.Through interviews with failed entrepreneurs,it will be found that lack of resources and lack of opportunity recognition are their main causes of entrepreneurial failure.It is true that the failure of entrepreneurial ventures is undoubtedly a waste of their own resources and entrepreneurial opportunities.Therefore,research on resource allocation methods and identification of entrepreneurial opportunities is of utmost importance and provides theoretical support for entrepreneurs to conduct scientific entrepreneurial reduction failures.Through analysis of previous studies,it has been found that the Red Sea sector,which is a pioneering piece of research into entrepreneurial theory,has a wealth of solid theoretical and empirical research on the relationship between patchwork and new business performance,but the specific impact is far from specific processes..The study on the relationship between entrepreneurial opportunism and identification of entrepreneurial opportunities studied in this study is still at the stage of theoretical research and case process research.Specific empirical research still needs further demonstration.The entrepreneurial alertness,as an important element recognized by both academic and business circles(Yu Xiaoyu,2017),plays a key role in the process of patching the process to promote the identification of opportunities,but the specific role played is still necessary for further empirical verification..This study used statistical applications Spss 21.0 and Amos 17.0 to conduct descriptive statistics,confirmatory factor analysis,exploratory factor analysis,and structural equation model tests on the research model and research hypotheses.The hypothesis test results were as follows:(1)Opportunities for entrepreneurship Positive validation of the identified antecedent variable;(2)Verification of the intermediary role of entrepreneurial alertness;(3)Another test of the measurement scale.There are three main innovations in this study: First,this study first conducted an empirical study on the relationship between entrepreneurial patchwork and identification of entrepreneurial opportunities and conducted specific discussions and elaboration,although Sun Hongxia(2015)proposed through the integration of Timmons model.The opportunity and resource elements analyze the process of farmers’ entrepreneurship through case analysis,and conclude that in a fixed environment,farmers entrepreneurs seek opportunities through patchwork and evaluate the economic potential that the opportunities themselves may provide to achieve a balance of opportunities and resources.However,there is still a lack of empirical research.Then,this study incorporates entrepreneurial alertness as an intermediary between entrepreneurial patchwork and entrepreneurial opportunity recognition,combines the three,conducts empirical analysis,and attempts to expand the research depth of this research.Finally,this study uses the structural equation model as an empirical research method,which is different from the multiple linear regression methods used in previous entrepreneurial studies.The structural equation model simultaneously handles the characteristics of multiple dependent variables to simplify the research process;allowing the independent variable and the dependent variable to contain measurement errors greatly improves the credibility of the research results;in addition to the parameter estimation necessary for multiple linear regression,You can also calculate the overall fit of different models to the same sample data to determine which model is closer to the relationship presented by the data.