This paper aims in the context of data-driven decision making (DDDM) at investigating how
biases related to the intuitive and rational types of human reasoning interact and how the …

Purpose Disasters drastically affect regional industries; consequently, the study of regional
resilience is of much interest to organizational researchers. To that end, this study examines …

Building on qualitative data from 53 interviews with different types of investors and start-ups,
we study the financial and non-financial information that different investor types demand to …

Investors use heuristics and biases which may disproportionately impact entrepreneurial
teams with women when hearing pitches and evaluating early-stage ventures. However …

Government innovation awards (GIAs) are not only important science and technology (S&T)
policies for stimulating innovation but also serve as innovation honors for enterprises. Based …

Today, it is almost impossible to find an aspect of our lives that has not been touched by
digitalization. Regardless of time and location, only having access to a computer (ie, an …

В монографии предложена оригинальная модификация классической концепции
реальных опционов в нечетко-множественной постановке в направлении ее …

The purpose of this chapter is to assist readers in demystifying the investment process in
start-ups and early-stage companies. The authors address this topic from both a start-up and …

Initially I began this research with exploring the use of artificial intelligence as a technology
to support decision-making. However, coming from a background of mathematics, what I …

Artificial intelligence (AI) is permeating one human endeavor after another. However, there
is increasing concern regarding the use of AI: potential biases it contains, as well as mis …