Organizations in various industries have widely developed the artificial intelligence (AI)
maturity model as a systematic approach. This study aims to review state-of-the-art studies …

Purpose The purpose of this paper is to conduct a systematic literature review for industry
4.0 maturity modeling research studies to obtain a clear view of the current state-of-the-art …

The purpose of this paper is to conduct a comparison for Industry 4.0 maturity models in the
context of Total Quality Management (TQM) principles. TQM principles have been used as …

Conclusion Upon identifying the problem of achieving maturity by Russian industrial
ecosystems, a methodology for assessing their maturity has been developed as a …

Quebec's small-and medium-sized enterprises (SMEs) in the manufacturing field are facing
a major challenge: implementing a successful digital transformation in an increasingly …

Companies of all industrial sectors are increasingly integrating Internet of Things (IoT)
technology into their processes to realize a data-driven transformation of their businesses …

Digital transformation since year 2010 has provided a huge worldwide market with digital
consultants as top players. Digital transformation is a socio-economic phenomenon subject …

The commonly accepted definition of sustainability considers the availability of relevant
resources to make an activity feasible and durable while also recognizing users' support as …

The manufacturing industry faces solid global competition, uncertainties, rapid technological
advances, and disruptive events, forcing it to rethink production operations and improve its …

Purpose: This research investigates Portuguese manufacturing companies' Industry 4.0 (I4.
0) maturity perception level and proposes an index to measure that aim …