Entrepreneurial firms' wealth creation via forecasting

Abstract

Wealth creation is critical to the performance of entrepreneurial firms. The two major issues that entrepreneurial firms face are as to when to issue the initial public offering (IPO) and how to invest in the stock market. Stock market forecasting can facilitate the provision of financial services for entrepreneurial firms in relation to both issues. Hence, this study proposes a novel neural network multivariate model to forecast stock markets. The proposed model can assist in deciding the timing of an IPO for the entrepreneurial firms and when to invest in the stock market.

A Systematic Review of Artificial Intelligence and Robots in Value Co-creation: Current Status and Future Research Avenues

“…Also, research shows how machine learning can be employed to understand the customers regarding their consideration heuristics (Dzyabura & Hauser, 2011; Hauser, 2014), and preferences in complex products (Huang & Luo, 2016). Other cognitive support for service providers include assessing the helpfulness of customer reviews (Singh et al, 2017), supporting complex new product development decisions (Thieme, Song, & Calantone, 2000), providing homogeneous segmentation solutions (Boone & Roehm, 2002), selecting models (Schwartz, Bradlow, & Fader, 2014), and deciding the timing of an initial public offering (Yu & Huarng, 2013). Edwards, Pärn, Love, and El-Gohary (2017) discuss how robots can in addition to hard labour replace many jobs in classic engineering that require cognitive skills and ability.…”