A Cognitive Model for Technology Adoption
نویسندگان
چکیده
The widespread adoption of advanced technologies, such as Artificial Intelligence (AI), Machine Learning, and Robotics, is rapidly increasing across the globe. This accelerated pace change drastically transforming various aspects our lives work, resulting in what now known Industry 4.0. As businesses integrate these technologies into their daily operations, it significantly impacts work tasks required skill sets. However, approach to technological transformation varies depending on location, industry, organization. there are no published methods that can adequately forecast technology its impact society. It essential prepare for future 4.0, this requires policymakers business leaders be equipped with scientifically validated models metrics. Data-driven scenario planning decision-making lead better outcomes every area business, from learning development investment. current literature falls short identifying effective globally applicable strategies predict rate emerging technologies. Therefore, paper proposes a novel parametric mathematical model predicting through unique data-driven pipeline. utilizes global indicators countries curves each country industry. thoroughly validated, outlines highly promising evaluation results. practical implications proposed significant because provides valuable insights planning.
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ژورنال
عنوان ژورنال: Algorithms
سال: 2023
ISSN: ['1999-4893']
DOI: https://doi.org/10.3390/a16030155