[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review

M Soori, B Arezoo, R Dastres - Cognitive Robotics, 2023 - Elsevier
Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …

[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 …

[HTML][HTML] Artificial intelligence (AI) applications for marketing: A literature-based study

A Haleem, M Javaid, MA Qadri, RP Singh… - International Journal of …, 2022 - Elsevier
Artificial Intelligence (AI) has vast potential in marketing. It aids in proliferating information
and data sources, improving software's data management capabilities, and designing …

How can artificial intelligence impact sustainability: A systematic literature review

AK Kar, SK Choudhary, VK Singh - Journal of Cleaner Production, 2022 - Elsevier
We need a proper mechanism to manage issues related to our environment, economy, and
society to proceed toward sustainability. Many researchers have worked for sustainable …

Artificial intelligence and corporate innovation: A review and research agenda

S Bahoo, M Cucculelli, D Qamar - Technological Forecasting and Social …, 2023 - Elsevier
Artificial Intelligence (AI) induce corporates to re-design their innovation process. Due to
rapid technological development, synchronization of information systems, and …

Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis

JW Goodell, S Kumar, WM Lim, D Pattnaik - Journal of Behavioral and …, 2021 - Elsevier
Artificial intelligence (AI) and machine learning (ML) are two related technologies that are
emergent in financial scholarship. However, no review, to date, has offered a wholistic …

Artificial intelligence for supply chain resilience: learning from Covid-19

S Modgil, RK Singh, C Hannibal - The International Journal of …, 2022 - emerald.com
Purpose Many supply chains have faced disruption during Covid-19. Artificial intelligence
(AI) is one mechanism that can be used to improve supply chain resilience by developing …

Artificial intelligence applications in supply chain management

M Pournader, H Ghaderi, A Hassanzadegan… - International Journal of …, 2021 - Elsevier
This paper presents a systematic review of studies related to artificial intelligence (AI)
applications in supply chain management (SCM). Our systematic search of the related …

The role of artificial intelligence in supply chain management: mapping the territory

R Sharma, A Shishodia, A Gunasekaran… - … Journal of Production …, 2022 - Taylor & Francis
The study aims to identify the current trends, gaps, and research opportunities in research
pertaining to the disruptive field of artificial intelligence (AI) applications in supply chain …

Future of artificial intelligence and its influence on supply chain risk management–A systematic review

AD Ganesh, P Kalpana - Computers & Industrial Engineering, 2022 - Elsevier
Abstract Supply Chain Risk Management (SCRM) is a rapidly growing field of research
encompassing identification, assessment, mitigation, and monitoring of the risks or …