The speed of appearance of today's technological innovations is unprecedented. As a commonly accepted term for the global scientific community, Industry 4.0 is considered the 4th Industrial Revolution characterized by the connectivity and interaction of humans and machines. The construction industry is at the heart of all these changes. In particular, the pharmaceutical industry, albeit at a slower pace than other sectors, is able to take advantage of emerging technologies with impressive results. Both in the field of research with Big Data analysis and in the field of production with 3D printing of drugs, the pharmaceutical industry is changing rapidly. Undoubtedly, however, the forthcoming changes will fully affect the workforce of all sectors. Several studies confirm the fear of the replacement of many jobs, especially those with low skills, but also report the creation of new ICT-based ones. The training of employees is also considered both imperative and a subject of discussion as it changes in order to harmonize with new technologies.
In this spirit, this thesis aims to fully capture the concept of the 4th Industrial Revolution (theoretical background, design principles), highlighting the new challenges that have emerged through the introduction of new technologies and the implementation of innovative ideas. In particular, this work focuses on the pharmaceutical industry and how it has been affected by the 4th Industrial Revolution, while considering the level of adoption of new technologies in it using artificial intelligence applications. The collection and analysis of the relevant literature shows that there are many successful examples of the application of new technologies in this sector and points to some risk factors in order to make a smooth transition to this new technological era for the pharmaceutical industry.
The second part of this thesis assesses one of the most important pillars for the successful transition to the new era imposed by the 4th Industrial Revolution, which is the workforce profile. This new revolution is expected to bring about changes in the labor market, for which workers must be prepared to cover jobs as effectively as possible. By analyzing four databases (ESCO, O*NET, CEPIS & ICT BoK) and a publicly and freely available-for-use questionnaire (PIAAC), the data identified as most important on the labor market by labor sector is mapped out in full, while databases focusing on the creation of a strong network among those working in ICT are presented by continuous information on the basic skills of workers in the sector.
With the above analysis, it is clear that no area of human life will be left unaffected by this transition to the new technological age and that, both at industrial and individual level, the solution is full and up-to-date monitoring of developments. The aim is that this transition should be carried out as smoothly as possible and used by everyone in order to optimize the processes of production and performance at individual and business level.
Industry 4.0, Pharmaceutical Industry, Work life, Technology, Artificial intelligence, ESCO, O*NET, PIAAC, ICT BoK, CEPIS