Determining the factors influencing business analytics adoption at organizational level: a systematic literature review

OM Horani, A Khatibi, AR Al-Soud, J Tham… - Big Data and Cognitive …, 2023 - mdpi.com
The adoption of business analytics (BA) has become increasingly important for
organizations seeking to gain a competitive edge in today's data-driven business landscape …

Development and validation of the AI attitude scale (AIAS-4): a brief measure of general attitude toward artificial intelligence

S Grassini - Frontiers in psychology, 2023 - frontiersin.org
The rapid advancement of artificial intelligence (AI) has generated an increasing demand for
tools that can assess public attitudes toward AI. This study proposes the development and …

Designing transparency for effective human-AI collaboration

M Vössing, N Kühl, M Lind, G Satzger - Information Systems Frontiers, 2022 - Springer
The field of artificial intelligence (AI) is advancing quickly, and systems can increasingly
perform a multitude of tasks that previously required human intelligence. Information …

Is trust in artificial intelligence systems related to user personality? Review of empirical evidence and future research directions

R Riedl - Electronic Markets, 2022 - Springer
Artificial intelligence (AI) refers to technologies which support the execution of tasks normally
requiring human intelligence (eg, visual perception, speech recognition, or decision …

[HTML][HTML] Machine Learning (ML) diffusion in the design process: A study of Norwegian design consultancies

C Trocin, Å Stige, P Mikalef - Technological Forecasting and Social …, 2023 - Elsevier
Traditionally, the design process has been performed by designers and developers with the
aid of digital technologies. The proliferation of Machine Learning (ML) during the last years …

A Systematic Literature Review of Advancements, Challenges and Future Directions of AI And ML in Healthcare

GS Nadella, S Satish, K Meduri, SS Meduri - International Journal of …, 2023 - ijsdcs.com
The most remarkable advancements in artificial intelligence (AI) plus machine learning (ML)
technologies with integration addicted to healthcare systems face several challenges in …

Trends and Trajectories in the Software Industry: implications for the future of work

S Laato, M Mäntymäki, AKMN Islam… - Information Systems …, 2023 - Springer
In this study, we explore prominent contemporary technology trajectories in the software
industry and how they are expected to influence the work in the software industry …

Managing artificial intelligence projects: Key insights from an AI consulting firm

G Vial, AF Cameron, T Giannelia… - Information Systems …, 2023 - Wiley Online Library
While organisations are increasingly interested in artificial intelligence (AI), many AI projects
encounter significant issues or even fail. To gain a deeper understanding of the issues that …

Green supply chain management: A theoretical framework and research directions

M Birasnav, R Chaudhary, JH Dunne… - Computers & Industrial …, 2022 - Elsevier
Practitioners and academicians dedicate significant attention to tackling initiatives and
executing mechanisms to address society's environmental concerns. Further, organizations …

The impacts of artificial intelligence on managerial skills

L Giraud, A Zaher, S Hernandez… - Journal of Decision …, 2023 - Taylor & Francis
Artificial Intelligence (AI) in organisations may change ways of working and disrupt
occupations, including managerial ones. Yet, the literature lacks information about how …