Competitive advantage through artificial intelligence: Toward a theory of situated AI

A Kemp - Academy of Management Review, 2024 - journals.aom.org
How can firms establish competitive advantages using artificial intelligence (AI)? Although AI
is beginning to permeate business activities, our understanding of how AI can be used to …

Artificial intelligence and management: The automation–augmentation paradox

S Raisch, S Krakowski - Academy of management review, 2021 - journals.aom.org
Taking three recent business books on artificial intelligence (AI) as a starting point, we
explore the automation and augmentation concepts in the management domain. Whereas …

Artificial intelligence in advertising creativity

D Vakratsas, X Wang - Journal of Advertising, 2020 - Taylor & Francis
The authors propose a creative advertising system (CAS) for the generation and testing of
advertising creative ideas, founded on artificial intelligence (AI) principles. The proposed …

[書籍][B] Industrial applications of machine learning

P Larrañaga, D Atienza, J Diaz-Rozo, A Ogbechie… - 2018 - taylorfrancis.com
Industrial Applications of Machine Learning shows how machine learning can be applied to
address real-world problems in the fourth industrial revolution, and provides the required …

Explaining artificial intelligence generation and creativity: Human interpretability for novel ideas and artifacts

P Das, LR Varshney - IEEE Signal Processing Magazine, 2022 - ieeexplore.ieee.org
Creativity is often thought of as the pinnacle of human achievement, but artificial intelligence
(AI) is now starting to play a central role in creative processes, whether autonomously or in …

How does intelligent system knowledge empowerment yield payoffs? Uncovering the adaptation mechanisms and contingency role of work experience

L Chen, JJPA Hsieh, A Rai - Information Systems Research, 2022 - pubsonline.informs.org
Intelligent systems (IntelSys) are transforming the nature of work as humans and machines
collectively perform tasks in novel ways. Although intelligent systems empower employees …

Odor prediction and aroma mixture design using machine learning model and molecular surface charge density profiles

L Zhang, H Mao, Y Zhuang, L Wang, L Liu… - Chemical Engineering …, 2021 - Elsevier
Abstract Structure-Odor Relationship (SOR) is the key to the understanding of the
mechanism of odors, which further facilitates the odor prediction and aroma design …

On the suitability, requisites, and challenges of machine learning

RM Morais - Journal of Optical Communications and Networking, 2021 - opg.optica.org
The introduction of 5G, the increasing number of connected devices, and the exponential
growth of services relying on connectivity are pressuring multilayer networks to improve their …

[HTML][HTML] An NLP-Based Perfume Note Estimation Based on Descriptive Sentences

J Kim, K Oh, BS Oh - Applied Sciences, 2024 - mdpi.com
The perfume industry is a suitable candidate for applying advanced natural language
processing techniques, yet most existing studies focus on develo** fragrance design …

Neighbouring communities: Interaction, lessons and opportunities

M Cook, S Colton - 2018 - repository.falmouth.ac.uk
Building, understanding and sharing software that works in creative spaces is increasingly
popular and widespread, with many communities outside of academic research interested in …