Factors influencing the usage of artificial intelligence among Bangladeshi professionals: Mediating role of attitude towards the technology

MMH Emon, T Khan, MA Rahman… - 2024 IEEE International …, 2024‏ - ieeexplore.ieee.org
This study investigates the factors influencing the usage of artificial intelligence (AI) among
Bangladeshi professionals, with a focus on the mediating role of attitude towards …

[HTML][HTML] Decoding algorithm appreciation: Unveiling the impact of familiarity with algorithms, tasks, and algorithm performance

H Mahmud, AKMN Islam, XR Luo, P Mikalef - Decision Support Systems, 2024‏ - Elsevier
Algorithm appreciation, defined as an individual's reliance or tendency to rely on algorithms
in decision-making, has emerged as a subject of growing scholarly interest. Inquiries into …

[HTML][HTML] Exploring Facilitators and Barriers to Managers' Adoption of AI-Based Systems in Decision Making: A Systematic Review

S Marocco, B Barbieri, A Talamo - AI, 2024‏ - mdpi.com
Introduction—Decision making (DM) is a fundamental responsibility for managers, with
significant implications for organizational performance and strategic direction. The …

Industry 4.0: Future Trends and Research Directions

SR Sindiramutty, NZ Jhanjhi, CE Tan… - … of Industry 4.0 and …, 2024‏ - igi-global.com
Abstract The advent of Industry 4.0, characterized by the integration of digital technologies
into industrial processes, has ushered in a transformative era for manufacturing and beyond …

Neobank adoption: integrating the information systems effectiveness framework with the innovation resistance model

P Bhatnagr, A Rajesh, R Misra - Management Decision, 2024‏ - emerald.com
Purpose This study aims to integrate Delone and McLean's information system success
(DMISS) model with the innovation resistance model to evaluate the relationship between …

From service design thinking to the third generation of activity theory: a new model for designing AI-based decision-support systems

S Marocco, A Talamo, F Quintiliani - Frontiers in Artificial Intelligence, 2024‏ - frontiersin.org
Introduction The rise of Artificial Intelligence (AI), particularly machine learning, has brought
a significant transformation in decision-making (DM) processes within organizations, with AI …

Are engineers more likely to avoid algorithms after they see them err? A longitudinal study

A Chacon, T Reyes, EE Kausel - Behaviour & Information …, 2024‏ - Taylor & Francis
Research suggests the superior predictive capabilities of algorithms compared to humans.
However, people's reluctance to use algorithms after witnessing their inaccuracies has …

Revolutionizing Payment Systems: The Integration of TRAM and Trust in QRIS Adoption for Micro, Small, and Medium Enterprises in Indonesia.

AS Nurqamarani, S Fadilla… - Journal of Information …, 2024‏ - search.ebscohost.com
Background: In an era where digital finance is growing rapidly, the Quick Response Code
Indonesian Standard (QRIS) revolutionizes the payment system through a single unifying …

Exploring the Impact of Technology Readiness and Innovation Resistance on User Adoption of Autonomous Delivery Vehicles

T Lyu, K Huang, H Chen - International Journal of Human …, 2024‏ - Taylor & Francis
Advancements in technology have made autonomous delivery vehicles (ADVs) a feasible
option for “last-mile” delivery, improving logistic efficiency in the global digital age. The …

Applying design thinking to develop AI-based multi-actor decision-support systems: A case study on human capital investments

S Marocco, A Talamo, F Quintiliani - Applied Sciences, 2024‏ - mdpi.com
Artificial intelligence, particularly machine learning, has revolutionized organizational
decision-making processes by assuming many decision responsibilities traditionally …