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We study institutional investors’ influence on the use of related party transactions (RPTs) in China. We test the significance of potential factors in the cross-sectional regression analysis of the amount of RPTs reported by Chinese listed companies. We also analyze intraday trading activities and stock prices in days around public announcements of RPTs. Our findings suggest that institutional investors do not have a significant influence on Chinese firms’ usage of RPTs but they react to RPT announcements through buying or selling shares.

The objective of this research work is to study the artificial intelligence (AI)-based product benefits and problems of the agritech industry. The research variables were developed from the existing review of literature connecting to AI-based benefits and problems, and 90 samples of primary data from agritech industry managers were gathered using a survey of a well-structured research questionnaire. The statistical package of IBM-SPSS 21 was utilized to analyze the data using the statistical techniques of descriptive and inferential statistical analysis. Results show that better information for faster decision-making has been ranked as the topmost AI benefit. This implies that the executives of agritech units have a concern about the quality of decisions they make and resistance to change from employees and internal culture has been ranked as the topmost AI problem.