Artificial intelligence in innovation: how to spot emerging trends and technologies

C Mühlroth, M Grottke - IEEE Transactions on Engineering …, 2020 - ieeexplore.ieee.org
Firms apply strategic foresight in technology and innovation management to detect
discontinuous changes early, to assess their expected consequences, and to develop a …

Forecasting emerging technologies: A supervised learning approach through patent analysis

MN Kyebambe, G Cheng, Y Huang, C He… - … Forecasting and Social …, 2017 - Elsevier
Both private and public enterprises have great interest in prior knowledge of emerging
technologies to enable them make strategic investments. Technology forecasting offers a …

Advanced analytics: opportunities and challenges

R Bose - Industrial Management & Data Systems, 2009 - emerald.com
Purpose–Advanced analytics‐driven data analyses allow enterprises to have a complete or
“360 degrees” view of their operations and customers. The insight that they gain from such …

Artificial intelligence as an enabler for innovation: A review and future research agenda

Y Truong, S Papagiannidis - Technological Forecasting and Social Change, 2022 - Elsevier
Innovation management has attracted considerable attention from management scholars in
all disciplines given the critical importance of innovation activities to all firms. While our …

Innovation analytics: Leveraging artificial intelligence in the innovation process

C Kakatkar, V Bilgram, J Füller - Business Horizons, 2020 - Elsevier
Artificial intelligence (AI) is about imbuing machines with a kind of intelligence that is mainly
attributed to humans. Extant literature—coupled with our experiences as practitioners …

Automated extraction and visualization of information for technological intelligence and forecasting

D Zhu, AL Porter - Technological forecasting and social change, 2002 - Elsevier
Empirical technology forecasting (TF) is not well utilized in technology management. Three
factors could enhance managerial utilization: capability to exploit huge volumes of available …

Early identification of emerging technologies: A machine learning approach using multiple patent indicators

C Lee, O Kwon, M Kim, D Kwon - Technological Forecasting and Social …, 2018 - Elsevier
Patent citation analysis is considered a useful tool for identifying emerging technologies.
However, the outcomes of previous methods are likely to reveal no more than current key …

[HTML][HTML] Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions

MM Mariani, I Machado, V Magrelli, YK Dwivedi - Technovation, 2023 - Elsevier
Artificial Intelligence (AI) is increasingly adopted by organizations to innovate, and this is
ever more reflected in scholarly work. To illustrate, assess and map research at the …

A systematic literature review of mining weak signals and trends for corporate foresight

C Mühlroth, M Grottke - Journal of Business Economics, 2018 - Springer
Due to the ever-growing amount of data, computer-aided methods and systems to detect
weak signals and trends for corporate foresight are in increasing demand. To this day, many …

Reinventing innovation management: The impact of self-innovating artificial intelligence

P Hutchinson - IEEE Transactions on Engineering …, 2020 - ieeexplore.ieee.org
Through recent leaps in application, artificial intelligence (AI) has become one of the most
promising digital technologies, attracting significant attention from scholars and practitioners …