The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review

AS Yalcin, HS Kilic, D Delen - Technological forecasting and social change, 2022 - Elsevier
Business analytics (BA) systems are considered significant investments for enterprises
because they have the potential to considerably improve firms' performance. With the value …

A review of the application of machine learning and data mining approaches in continuum materials mechanics

FE Bock, RC Aydin, CJ Cyron, N Huber… - Frontiers in …, 2019 - frontiersin.org
Machine learning tools represent key enablers for empowering material scientists and
engineers to accelerate the development of novel materials, processes and techniques. One …

Marketing analytics capability, artificial intelligence adoption, and firms' competitive advantage: Evidence from the manufacturing industry

MA Hossain, R Agnihotri, MRI Rushan… - Industrial Marketing …, 2022 - Elsevier
Data-driven analytics and artificial intelligence (AI) have become the most crucial aspects of
today's industrial marketing management. Although many firms have embraced analytics …

Agile supply chain management: where did it come from and where will it go in the era of digital transformation?

P Centobelli, R Cerchione, M Ertz - Industrial Marketing Management, 2020 - Elsevier
In today's dynamic business environment, agile supply chain (ASC) has become a key
strategic move to cope with market instability, handle competitive pressures and strengthen …

[HTML][HTML] Deep learning in business analytics: A clash of expectations and reality

M Schmitt - International Journal of Information Management Data …, 2023 - Elsevier
Our fast-paced digital economy shaped by global competition requires increased data-
driven decision-making based on artificial intelligence (AI) and machine learning (ML). The …

Quality 4.0: literature review analysis, definition and impacts of the digital transformation process on quality

AM Dias, AM Carvalho, P Sampaio - International Journal of Quality & …, 2022 - emerald.com
Purpose The changes brought forth by the Digital Transformation have an impact on the way
we think, assess and manage Quality. While the concept of Quality 4.0 has resulted from …

Managing supply chain resilience to pursue business and environmental strategies

Shashi, P Centobelli, R Cerchione… - Business strategy and …, 2020 - Wiley Online Library
Resilience has become a crucial topic in the field of strategic management as it requires
companies to design resilient business models to tackle managerial and environmental …

Reconciling business intelligence, analytics and decision support systems: More data, deeper insight

G Phillips-Wren, M Daly, F Burstein - Decision Support Systems, 2021 - Elsevier
Abstract Business Intelligence and Analytics (BI&A) systems have demonstrated their
potential to enhance decision making; however, the linkage between BI&A and decision …

A scoping review of implementation science theories, models, and frameworks—an appraisal of purpose, characteristics, usability, applicability, and testability

Y Wang, ELY Wong, P Nilsen, VC Chung, Y Tian… - Implementation …, 2023 - Springer
Background A proliferation of theories, models, and frameworks (TMFs) have been
developed in the implementation science field to facilitate the implementation process. The …

Attitudes toward the adoption of accounting analytics technology in the digital transformation landscape

M Al-Okaily - Journal of Accounting & Organizational Change, 2024 - emerald.com
Purpose The main purpose of this study is to determine the accounting analytics technology
(AAT) adoption among manufacturing small and medium-sized enterprises (SMEs) based …