Introduction 

Introduction

There is a growing interest in teaching artificial intelligence (AI) and machine learning (ML) in business schools around the world (S.-W., 2018). However, an acclaimed approach to teaching AI (Figure 1) in the context of business, especially in terms of entrepreneurship, remains elusive.

Introduction

The dynamics and speed of change in corporate environments have increased. Firms today find themselves confronted with volatility, uncertainty, complexity, and ambiguity, classified under the title VUCA. This development has added to the difficulty of making right decisions. Firms are now challenged to evaluate growing amounts of information within a shorter period of time in order to stay competitive. Applied to innovation, decisions on which opportunities a firm wants to pursue must be taken fast (Gassmann & Schweitzer, 2014).

1. Introduction 

Introduction 

Welcome to the December issue of the Technology Innovation Management Review. This is the second edition, after the one published in October 2019, which includes articles that were initially presented at a conference of the International Society for Professional Innovation Management (ISPIM), which took place June 16-19, 2019, in Florence, Italy. The ISPIM conference in Florence was dedicated to Leonardo da Vinci: “Celebrating Innovation: 500 Years since Da Vinci”.