The Effect of Business Intelligence on Innovation, Network Learning and Startup Performance (Case study: Snapfood)
Abstract
The study aimed to determine the effect of business intelligence on innovation, network learning, and startup performance. The research method is applied in terms of purpose, and in terms of collecting data, a descriptive correlational type is used. The statistical population of the study was four hundred employees in the city of Tehran, which according to the Cochran formula, 196 people were selected as the sample and the data collection tool was a questionnaire. The collected data were analyzed using LISREL software. The research results indicate that among the research variables, business intelligence, network learning, and innovation have the highest correlation coefficient with the startup function. Also, the results of the structural equation model indicate that the direct effect of business intelligence on network learning is positive and significant.
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