Data-driven technologies can have a broad impact on innovation management. In the
present digital era, it has become a complex and debatable topic that requires refinement …

We analyze the field of emerging technologies using bibliographic techniques. The Web of
Science (WoS) citation database was used as an article retrieval tool in this study. To …

Predicting emerging research topics is important to researchers and policymakers. In this
study, we propose a two-step solution to the problem of emerging topic prediction. The first …

Organizational resilience (OR) increases when the company has the ability to anticipate,
plan, make decisions, and react quickly to changes and disruptions. Thus the company …

The human side of innovation management focuses on the people that are carrying out
innovative endeavors in organizations. It marks the intersection between research on …

Purpose The primary aim of this study is to detail the use of soft computing techniques in
business and management research. Its objectives are as follows: to conduct a …

This paper presents an in-depth literature review on the driving forces and barriers for
achieving operational excellence through artificial intelligence (AI). Artificial intelligence is a …

Purpose The objective of this paper is to analyze the relationship between innovation and
the development of artificial intelligence (AI) and digital technologies in Europe. The use of …

This paper outlines new perspectives for data‐supported foresight by combining
participatory expert‐based futures dialogues with the power of artificial intelligence (AI) in …

Circular economy (CE) business models provide solutions for sustainable development
goals by closing, slowing, intensifying, de-materializing, and narrowing resource loops …