[HTML][HTML] On the current state of combining human and artificial intelligence for strategic organizational decision making

A Trunk, H Birkel, E Hartmann - Business Research, 2020 - Springer
Strategic organizational decision making in today's complex world is a dynamic process
characterized by uncertainty. Therefore, diverse groups of responsible employees deal with …

[HTML][HTML] Corporate foresight: A systematic literature review and future research trajectories

M Marinković, O Al-Tabbaa, Z Khan, J Wu - Journal of Business Research, 2022 - Elsevier
Corporate foresight (CF) has received increasing attention from scholars and practitioners
alike. Due to the increasing environmental complexity and unpredictability that the corporate …

A deck of cards to help track design trends to assist the creation of new products

S Goria - International Journal of Technology, Innovation and …, 2022 - journals.gaftim.com
The more competition becomes important, the more companies need to innovate in order to
survive. This requires creative, adaptable, strategic intelligence ability. We will focus here on …

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 …

50 Years of corporate and organizational foresight: Looking back and going forward

AV Gordon, M Ramic, R Rohrbeck… - … Forecasting and Social …, 2020 - Elsevier
On the occasion of the 50th anniversary of Technology Forecasting & Social Change, we
review the evolution of corporate and organizational foresight within the journal and look …

[HTML][HTML] Exploring the research landscape of convergence from a TIM perspective: A review and research agenda

N Sick, S Bröring - Technological Forecasting and Social Change, 2022 - Elsevier
Convergence at the level of science, technology, market or industry can increasingly be
witnessed in a number of empirical settings. It is currently seen as one of the most important …

End-to-end LDA-based automatic weak signal detection in web news

M El Akrouchi, H Benbrahim, I Kassou - Knowledge-Based Systems, 2021 - Elsevier
An extremely competitive business environment requires every company to monitor its
competitors and anticipate future opportunities and risks, creating a dire need for competitive …

New perspectives for data‐supported foresight: The hybrid AI‐expert approach

A Geurts, R Gutknecht, P Warnke… - Futures & Foresight …, 2022 - Wiley Online Library
This paper outlines new perspectives for data‐supported foresight by combining
participatory expert‐based futures dialogues with the power of artificial intelligence (AI) in …

[HTML][HTML] Transformation of the real estate and construction industry: empirical findings from Germany

A Pfnür, B Wagner - Journal of Business Economics, 2020 - Springer
The German real estate and construction industry is facing a transformation, triggered by
fundamental changes in technology, the economy and society. The purpose of this paper is …

[HTML][HTML] Weak signal-oriented investigation of ethical dissonance applied to unsuccessful mobility experiences linked to human–machine interactions

F Vanderhaegen - Science and engineering ethics, 2021 - Springer
Ethical dissonance arises from conflicts between beliefs or behaviors and affects ethical
factors such as normality or conformity. This paper proposes a weak signal-oriented …