The Change in the Traditional Paradigm of Production under the Influence of Industrial Revolution 4.0

Abstract

The modern history of technical progress is relatively short, as it encompasses merely around 250 years. Within it, we can distinguish four time periods called industrial revolutions. The fourth one of these, which is currently ongoing, is characterized by such ground-breaking inventions as advanced robots, artificial intelligence, Internet of Things, 3D printing, automated guided vehicles, cloud technology, augmented reality, big data, blockchain, nanotechnology, and biotechnology. The author argues that under the influence of these inventions, industrial production is gradually becoming fully digitalized, automated, and autonomous. As a consequence, it will be carried out more speedily, flexibly, effectively, and transparently and will be more environmentally friendly. The quality of products will be higher and the costs of their manufacturing lower, and it will be strictly adjusted to the tastes of the consumers. This means that, contrary to the traditional view, represented by Porter, that companies at a given time can only use one of the basic strategies of competition, i.e., low cost, high quality, and market niche, they are able to implement production that meets all three criteria simultaneously. The emergence of the new production paradigm is stimulated by expected economic and environmental benefits as well as political, social, and natural factors, including the COVID-19 pandemic. These factors contribute to the breakdown of global supply chains, which causes a tendency to insourcing, which is conditioned by the implementation of intelligent production.

The shift of the foreign direct investments paradigm impacted by the Fourth Industrial Revolution

“…The shift of the foreign direct investments paradigm impacted by the Fourth Industrial… | 29 the United Kingdom being at the forefront (Rymarczyk, 2022). The leaders in these processes are digital platforms such as Facebook, Amazon, Apple, Google, Netflix, Instagram, LinkedIn, Yahoo, Alibaba, and transnational industrial corporations, including General Motors, General Electric, Microsoft, Toyota, IBM, Panasonic, Lenovo, Siemens, Volkswagen, Toshiba, Huawei, Oracle, Sony, Samsung, Mitsubishi, ABB, BMW, Tesla, Bosch, and many others.…”

Global Digital Convergence: Impact of Cybersecurity, Business Transparency, Economic Transformation, and AML Efficiency

“…For further research on the national cybersecurity level, it is advisable to apply machine learning methods and data mining algorithms. This is said by Rymarczuk [63], Javed et al [64], Ahsan et al [65], and Alshaibi et al [66], who substantiate the need to develop algorithms to protect against cyber attacks using cyber machines that use various machine learning and deep learning methods, since mathematical models alone are not enough to deal with modern cybersecurity risks. In addition, the authors of [67] separately highlight the academic community, which, of course, is in the sphere of activity in which cybercrimes often occur, the degree of protection against which affects the significance of the level of national cybersecurity in each country.…”

Digital Culture, Knowledge, and Commitment to Digital Transformation and Its Impact on the Competitiveness of Portuguese Organizations

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