MCDM model to rank the performance outcomes in the implementation of Industry 4.0

V Kumar, P Vrat, R Shankar - Benchmarking: An International Journal, 2024 - emerald.com
Purpose Industry 4.0 has received significant attention in today's competitive business
market, necessitating a restructuring of functional domains in nearly every manufacturing …

A framework to assess Industry 4.0 readiness in Brazilian small and medium service enterprises

AS Barbosa, JC Delgado, LCQ Alcântara… - International Journal of …, 2024 - emerald.com
Purpose This paper aims to propose a framework to assess the readiness of Brazilian small
and medium service companies to use Industry 4.0 technologies to improve the efficiency of …

Prioritization of critical factors toward Industry 4.0 adoption in service industries: an emerging economy perspective

P Sahoo, PK Saraf, R Uchil - International Journal of Quality & …, 2024 - emerald.com
Purpose Significant developments in the service sector have been brought about by Industry
4.0. Automated digital technologies make it possible to upgrade existing services and …

[HTML][HTML] Industry 4.0 Readiness Trends: A Bibliometric and Visualization Analysis

EW Solikhah, HM Asih, FH Astuti, I Ghazali… - … Journal of Robotics …, 2024 - pubs2.ascee.org
Abstract The Industrial Revolution 4.0 signifies a pivotal change in industrial paradigms,
integrating advanced technologies like the Internet of Things (IoT), artificial intelligence (AI) …

A meta-model-driven approach to support digitization evolution with maturity models

M Bernabei, F Costantino, M Tronci - Journal of Industrial …, 2024 - iris.uniroma1.it
Digitization makes knowledge and information a centerpiece since these connect all
dimensions affected by innovation, ie, people, processes, organization, business, and …

[PDF][PDF] Review of digitalization using artificial intelligence maturity models: The case of American automotive SMEs

D Salian - 13th International Conference on Computer Science …, 2023 - researchgate.net
The purpose of this study is to review studies related to Artificial Intelligence (AI) maturity
models (MM) in automotive manufacturing in a systematic manner. SMEs in the automotive …

Unleashing the potential of digital twins: a new era with aeronautics 4.0

M Ghita, B Siham, B Mariam, H Abdellah - F1000Research, 2024 - f1000research.com
Introduction The aerospace value chain consists of several processes, and digitizing it first
requires an assessment of these processes and their ability to be transferred to the fully …

Critical Knowledge in HR Development to Transfer from Industry 4.0 to Industry 5.0

M Tuffaha - Artificial Intelligence and Economic Sustainability in the …, 2024 - Springer
Scholars believe that the constant development of innovative technologies is a challenge for
human resource development. Industry 5.0 has recently showed the ability to move beyond …

Organisational Competences: Innovation, Adaptability, and Resilience

P Turner - The Making of the Modern Organisation: From the First …, 2024 - Springer
An organisation's dynamic capabilities will drive innovation, which in turn will improve
revenue or productivity, which in turn will contribute to the achievement of competitive …

[PDF][PDF] BRIDGING THE GENERATIVE LEAP: EXPLORING FACTORS DETERMINING GENERATIVE AI-READINESS IN ORGANIZATIONS

B van der Veen - 2024 - pure.tue.nl
Organizations are becoming increasingly interested in incorporating Generative AI due to
the wide range of benefits this technology offers. However, adopting organizations …