Gender bias in AI-based decision-making systems: a systematic literature review

A Nadeem, O Marjanovic, B Abedin - Australasian Journal of …, 2022 - journal.acs.org.au
The related literature and industry press suggest that artificial intelligence (AI)-based
decision-making systems may be biased towards gender, which in turn impacts individuals …

[HTML][HTML] Artificial intelligence capabilities for circular business models: Research synthesis and future agenda

A Madanaguli, D Sjödin, V Parida, P Mikalef - … Forecasting and Social …, 2024 - Elsevier
This study explores the interlink between AI capabilities and circular business models
(CBMs) through a literature review. Extant literature reveals that AI can act as efficiency …

Big data analytics-enabled dynamic capabilities and firm performance: examining the roles of marketing ambidexterity and environmental dynamism

M Saeed, Z Adiguzel, I Shafique, MN Kalyar… - Business Process …, 2023 - emerald.com
Purpose Drawing from dynamic capability (DC) theory, this study aims to investigate how big
data analytics (BDA)-enabled dynamic capabilities (DCs) prompt firm performance. This …

Creativity and artificial intelligence: A multilevel perspective

L Grilli, M Pedota - Creativity and Innovation Management, 2024 - Wiley Online Library
Artificial intelligence is likely to revolutionize multiple aspects of organizational creativity.
Through a multilevel theoretical lens, the present paper reviews the extant body of …

The Recursive Theory of Knowledge Augmentation: Integrating human intuition and knowledge in Artificial Intelligence to augment organizational knowledge

A Harfouche, B Quinio, M Saba, PB Saba - Information Systems Frontiers, 2023 - Springer
Artificial intelligence (AI) has increased the ability of organizations to accumulate tacit and
explicit knowledge to inform management decision-making. Despite the hype and popularity …

[HTML][HTML] Artificial intelligence adoption in a professional service industry: A multiple case study

J Yang, Y Blount, A Amrollahi - Technological Forecasting and Social …, 2024 - Elsevier
This study explores the factors influencing AI adoption in professional service firms.
Grounded in the Technological-Organizational-Environmental (TOE) framework, we …

[HTML][HTML] Artificial intelligence for management information systems: opportunities, challenges, and future directions

S Stoykova, N Shakev - Algorithms, 2023 - mdpi.com
The aim of this paper is to present a systematic literature review of the existing research,
published between 2006 and 2023, in the field of artificial intelligence for management …

[HTML][HTML] Application of artificial intelligence for surface roughness prediction of additively manufactured components

T Batu, HG Lemu, H Shimels - Materials, 2023 - mdpi.com
Additive manufacturing has gained significant popularity from a manufacturing perspective
due to its potential for improving production efficiency. However, ensuring consistent product …

[HTML][HTML] AI-assisted systematic review on remediation of contaminated soils with PAHs and heavy metals

Z Ashkanani, R Mohtar, S Al-Enezi, PK Smith… - Journal of Hazardous …, 2024 - Elsevier
This systematic review addresses soil contamination by crude oil, a pressing global
environmental issue, by exploring effective treatment strategies for sites co-contaminated …

The evolution of sentiment analysis across various scientific disciplines: A comprehensive review based on the bibliometric technique

A Önden, M Alnour, V Simic… - Decision Making …, 2024 - dma-journal.org
The unprecedented development of artificial intelligence has been associated with several
challenges given its substantial influence on economic, social, and cultural structures …