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Recent advances on industrial data-driven energy savings: Digital twins and infrastructures
Data-driven models for industrial energy savings heavily rely on sensor data,
experimentation data and knowledge-based data. This work reveals that too much research …
experimentation data and knowledge-based data. This work reveals that too much research …
Industry 4.0 transition: a systematic literature review combining the absorptive capacity theory and the data–information–knowledge hierarchy
Purpose The effect of the transition toward digital technologies on today's businesses (ie
Industry 4.0 transition) is becoming increasingly relevant, and the number of studies that …
Industry 4.0 transition) is becoming increasingly relevant, and the number of studies that …
Adoption of robust business analytics for product innovation and organizational performance: the mediating role of organizational data-driven culture
R Chaudhuri, S Chatterjee, D Vrontis… - Annals of Operations …, 2024 - Springer
In the present digital environment, a data-driven organizational culture has become a vital
emerging driver of organizational growth. This data-driven culture has assumed an …
emerging driver of organizational growth. This data-driven culture has assumed an …
Understanding the impact of business analytics on innovation
Abstract Advances in Business Analytics in the era of Big Data have provided
unprecedented opportunities for organizations to innovate. With insights gained from …
unprecedented opportunities for organizations to innovate. With insights gained from …
The role of positive and negative valence factors on the impact of bigness of data on big data analytics usage
M Ghasemaghaei - International Journal of Information Management, 2020 - Elsevier
The number of firms that intend to invest in big data analytics has declined and many firms
that invested in the use of these tools could not successfully deploy their project to …
that invested in the use of these tools could not successfully deploy their project to …
[PDF][PDF] Big data analytics and its applications in supply chain management
In today's competitive marketplace, development of information technology, rising customer
expectations, economic globalization, and the other modern competitive priorities have …
expectations, economic globalization, and the other modern competitive priorities have …
Business analytics use in CRM: A nomological net from IT competence to CRM performance
D Nam, J Lee, H Lee - International Journal of Information Management, 2019 - Elsevier
Business analytics (BA) becomes increasingly important under rapidly changing business
environment. A research challenge is that BA use is not fully understood. We tackle this …
environment. A research challenge is that BA use is not fully understood. We tackle this …
Targeting customers for profit: An ensemble learning framework to support marketing decision-making
Marketing messages are most effective if they reach the right customers. Deciding which
customers to contact is an important task in campaign planning. The paper focuses on …
customers to contact is an important task in campaign planning. The paper focuses on …
Are firms ready to use big data analytics to create value? The role of structural and psychological readiness
M Ghasemaghaei - Enterprise Information Systems, 2019 - Taylor & Francis
In this study, we leverage Information Technology (IT) readiness literature and resource-
based view (RBV) to investigate the impact of firm structural and psychological readiness on …
based view (RBV) to investigate the impact of firm structural and psychological readiness on …
The impact of applying knowledge in the technological pillars of Industry 4.0 on supply chain performance
A Sawangwong, P Chaopaisarn - Kybernetes, 2023 - emerald.com
Purpose The purpose of the study is to investigate the impact of technological pillars of
Industry 4.0 based on knowledge to adopt the supply chain performance of Thai small and …
Industry 4.0 based on knowledge to adopt the supply chain performance of Thai small and …