Understanding dark side of artificial intelligence (AI) integrated business analytics: assessing firm's operational inefficiency and competitiveness

NP Rana, S Chatterjee, YK Dwivedi… - European Journal of …, 2022 - Taylor & Francis
The data-centric revolution generally celebrates the proliferation of business analytics and
AI in exploiting firm's potential and success. However, there is a lack of research on how the …

A computer science perspective on digital transformation in production

P Brauner, M Dalibor, M Jarke, I Kunze… - ACM Transactions on …, 2022 - dl.acm.org
The Industrial Internet-of-Things (IIoT) promises significant improvements for the
manufacturing industry by facilitating the integration of manufacturing systems by Digital …

Decision support system in supply chain: A systematic literature review

W Teniwut, C Hasyim - Uncertain Supply Chain Management, 2020 - m.growingscience.com
Systematic literature review in supply chain and decision support system, in general, have
been rapidly performed during the last decade. However, the studies on the epistemological …

[HTML][HTML] Supply chain digitalization: An integrated MCDM approach for inter-organizational information systems selection in an electronic supply chain

TS Deepu, V Ravi - International Journal of Information Management Data …, 2021 - Elsevier
Abstract Efficient Inter-Organizational Information Systems (IOIS) have become the
backbone of modern supply chains. IOIS can be used to plan, coordinate, collaborate and …

[HTML][HTML] Beyond playful learning–Serious games for the human-centric digital transformation of production and a design process model

P Brauner, M Ziefle - Technology in Society, 2022 - Elsevier
The digital transformation of production (“Industry 4.0”) has the potential to enormously
accelerate and improve the efficiency of manufacturing processes and value chains. But it …

[PDF][PDF] Human-AI collaboration in organisations: A literature review on enabling value creation

M Raftopoulos, J Hamari - 2023 - core.ac.uk
The augmentation of human capability with artificial intelligence is integral to the
advancement of next generation human-machine collaboration technologies designed to …

Check the box! How to deal with automation bias in AI-based personnel selection

C Kupfer, R Prassl, J Fleiß, C Malin… - Frontiers in …, 2023 - frontiersin.org
Artificial Intelligence (AI) as decision support for personnel preselection, eg, in the form of a
dashboard, promises a more effective and fairer selection process. However, AI-based …

Process-aware digital twin cockpit synthesis from event logs

D Bano, J Michael, B Rumpe, S Varga… - Journal of Computer …, 2022 - Elsevier
The engineering of digital twins and their user interaction parts with explicated processes,
namely process-aware digital twin cockpits (PADTCs), is challenging due to the complexity …

AI-driven adaptive learning for enhancing business intelligence simulation games

GP Bharathi, I Chandra, DPR Sanagana… - Entertainment …, 2024 - Elsevier
This study investigates how automated adaptable learning (BSG) may improve business
simulating games (BSG) and its transformation possibilities. The rapid increase of …

A decision support system for supporting strategic production allocation in the automotive industry

E Fadda, G Perboli, M Rosano, JE Mascolo, D Masera - Sustainability, 2022 - mdpi.com
This paper deals with the optimization problem faced by the manufacturing engineering
department of an international automotive company, concerning its supply chain design (ie …