Innovation Diffusion Analysis in Robotics and Big Data Consulting

advisory algorithmic technique. This study uses Roger's innovation diffusion theory as its foundation. Investigate the use of robo-advisors for stock market forecasting using an abductive approach. reasoning approach. We used literature reviews and semi-structured interviews to interview representatives. natives of fund companies to see if they had adopted AI big data forecasting models to invest in stock selection. This study summarizes the big-data stock market forecasts in the literature. According In summary, these scholars' prediction models ranged in accuracy from ۵۲% to ۹۷%.The prediction results of the models exhibit significant variation. Interviews with ۲۱ representatives These fund companies revealed the stock market forecast model of big data robo-advisors. have not become a reference basis for fund investment candidates, mainly because of the unstable The model prediction rate, along with its apparent relative advantages and observability, is a significant concern.being too complex. Thus, from the view of innovation diffusion, there is a lack of diffusion for the robo-advisor. Exposure to innovation leads to the acquisition of knowledge. The investor gains some understanding of how it functions. Thereby, when investors become more familiar with We expect this novel AI stock market forecasting model to be neural network-like.It has the potential to become another indicator of technical analysis.

کلیدواژه ها:

robo-advisor ، innovation diffusion theory ، AI big data forecasting models