Influence of Industry 4.0 on Motives and Cultures in the Post-COVID-19 Era

2022 ◽  
pp. 301-318
Author(s):  
Xuan Tran
Keyword(s):  
Big Data ◽  
Cultural Differences ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Integrated Model ◽  
Effective Strategy ◽  
Fourth Industrial Revolution ◽  
Affiliation Motive ◽  
Power Motive ◽  
Structure Equation Modelling

As the challenge of big data impacts how we understand cultural differences, a motive-integrated model of culture is becoming an effective strategy to search for convergence by the fourth industrial revolution called Industry 4.0. This study examines the integration approach of Industry 4.0 in merging motives and cultures to efficiently produce COVID-19 vaccines. Structure equation modelling has been conducted on the data in 38 countries during the period of 2006-2021. Findings indicate that Industry 4.0 has merged achievement motive in reactive culture, power motive in multi-linear active culture, and affiliation motive in linear active culture. The three pairs of motive-cultures have enabled people to successfully produce COVID-19 vaccines 10 times faster than previous approaches for vaccines. To implement Industry 4.0, the reactive countries and multilinear active countries would enhance the achievement and power motives, but the linear active countries would decrease the affiliation motive.

Influence of Industry 4.0 on Asia

2022 ◽  
pp. 122-139
Author(s):  
Xuan Tran
Keyword(s):  
Cultural Differences ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Achievement Motive ◽  
Affiliation Motive ◽  
The World ◽  
Power Motive ◽  
Per Capita ◽  
The Impact ◽  
Structure Equation Modelling

As the challenge of big data impacts how we understand cultural differences, a motive-integrated model of culture is becoming an effective strategy to study current culture divergence by the fourth industrial revolution called “Industry 4.0.” This study examines the impact of Industry 4.0 with COVID-19 vaccines on motives and cultures of the world and Asia in the post-COVID-19 era. Structure equation modelling has been conducted on the data in 38 countries during the period of 2006-2021. Findings indicate that Industry 4.0 has enhanced the achievement motive in the reactive culture and the power motive in the multi-linear culture, but it has decreased the affiliation motive in the linear active culture. In addition, Industry 4.0 has enhanced the gross domestic product per capita (GDP) in the linear active and reactive cultures, but it has decreased the GDP in the multi-linear cultures. Finally, Industry 4.0 has made the power and affiliation motives in Asia decrease, but it has increased the achievement motive in Asia.

scholarly journals Revealing the Content of Industry 4.0: A Review of Literature

2020 ◽  
Author(s):  
Alexander Vestin ◽  
Kristina Säfsten ◽  
Malin Löfving
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Literature Review ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Design Principles ◽  
Cyber Physical Systems ◽  
Service Orientation ◽  
Review Of Literature ◽  
Fourth Industrial Revolution

A fourth industrial revolution is prophesied, and there is a potential for the industrialized world to proactively adapt suitable practices. Despite the large interest from both industry and academia, a drawback with the vast literature on initiatives that tap into the fourth industrial revolution, Industry 4.0 and alike, is the fuzziness when it comes to terminology and content. The terms are mixed up, and sometimes used interchangeable and the constituent parts are not fully described. The purpose of this paper is to present the content of initiatives related to the fourth industrial revolution in a structured manner. This is expected to support understanding for the content of the fourth industrial revolution and thereby facilitate the transformation. The results presented in this paper is based on a traditional literature review. In total 13 relevant review papers were identified. The identified papers were analyzed, and a framework was developed including technologies and design principles. In total, eleven technologies and twelve design principles were identified for Industry 4.0. The most frequently occurring technologies were Cyber physical systems, Internet of Things, and Big data. The most frequently occurring design principles were Smart factory, Service orientation and Sustainability and resource efficiency. A categorization of the content into technologies and design principles clarify and structures the content of Industry 4.0. The developed framework can support academics in identifying, describing, and selecting Industry 4.0 scenarios for further investigations. For practitioners, the framework can give a basic understanding and some guidance in their implementation journey of Industry 4.0.

Emerging Auditing Perspectives in the Age of the Fourth Industrial Revolution

2021 ◽  
pp. 999-1014
Author(s):  
Mahmut Sami Ozturk
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Methodological Approach ◽  
The Internet ◽  
Fourth Industrial Revolution ◽  
The Internet Of Things

The purpose of this chapter is to investigate the role of audit activities and auditors in Industry 4.0. The preferred methodological approach in the study is a general analysis of auditing in Industry 4.0 in the form of a literature review. According to the purpose of the study, the effect and role of auditing big data, the internet of things, the cloud, artificial intelligence, and other components in Industry 4.0 are investigated. Furthermore, auditing activities that can be implemented in Industry 4.0 are presented as suggestions in the study. The study explains the role of auditing as a whole in Industry 4.0 as a consequence of examining audit activities for each component in Industry 4.0.

Revisiting Corruption Mathematical Models in the Fourth Industrial Revolution

2021 ◽  
pp. 270-296
Author(s):  
Arpita Patra ◽  
Lovemore Matipira ◽  
Fanny Saruchera ◽  
K. S. Sastry Musti
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Mathematical Models ◽  
Case Studies ◽  
Industry 4.0 ◽  
Computational Models ◽  
Industrial Revolution ◽  
Digital Transformation ◽  
Fourth Industrial Revolution ◽  
Several Variables

Analyzing corruption is a topic of interest to many and is indeed very complex due to its inherent difficulties with its identification and quantification. Past studies present several variables, indices, computational models, and approaches, but their relevance in the fourth industrial revolution (Industry 4.0) has been debatable. This chapter addresses the need to revisit the mathematical models and approaches in the Industry 4.0 context. The chapter provides a foundation for this argument through a compressive literature review followed by a proposal of a three-stage concept for corruption identification. The chapter illustrates two case studies from which a strong justification derives for considering the digital transformation and use of big data to deal with corruption and improve the external and internal perceptions about corruption in general.

The Incorporation of Big Data in Mathematical Training for the Fourth Industrial Revolution

2021 ◽  
pp. 61-79
Author(s):  
Jésica Alhelí Cortés Ruiz ◽  
Sandra Viridiana Cortés Ruiz
Keyword(s):  
Big Data ◽  
Industry 4.0 ◽  
Information Technologies ◽  
Industrial Revolution ◽  
The Other ◽  
Educational Institutions ◽  
Intelligent Environments ◽  
Fourth Industrial Revolution ◽  
Other Hand ◽  
Cybernetic System

The context of Industry 4.0 is changing the training of mathematical students, new and old generations, in such a way that educational institutions implement strategies and actions to adapt study plans according to the requirements of the new industrial revolution. On the other hand, big data is a cybernetic system that functions as a tool that incorporates mathematical training and implementation and that has recently been included in the educational sphere in order to collaborate with the development of specific competencies based on information technologies and communication, with the purpose of interacting in the intelligent environments proposed by Industry 4.0.

Emerging Auditing Perspectives in the Age of the Fourth Industrial Revolution

2019 ◽  
pp. 172-187
Author(s):  
Mahmut Sami Ozturk
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Methodological Approach ◽  
The Internet ◽  
Fourth Industrial Revolution ◽  
The Internet Of Things

The purpose of this chapter is to investigate the role of audit activities and auditors in Industry 4.0. The preferred methodological approach in the study is a general analysis of auditing in Industry 4.0 in the form of a literature review. According to the purpose of the study, the effect and role of auditing big data, the internet of things, the cloud, artificial intelligence, and other components in Industry 4.0 are investigated. Furthermore, auditing activities that can be implemented in Industry 4.0 are presented as suggestions in the study. The study explains the role of auditing as a whole in Industry 4.0 as a consequence of examining audit activities for each component in Industry 4.0.

Assessing Competency and Sub-Competency for Pharmaceutical 4.0 – a Delphi Study

2021 ◽  
Vol 12 (1) ◽  
pp. 6-6
Author(s):  
Aghnia Nadhira Aliya Putri ◽  
N. Nurlaela Arief ◽  
Aurik Gustomo
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Delphi Study ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Critical Role ◽  
The Internet ◽  
Fourth Industrial Revolution ◽  
Significant Barrier ◽  
The Internet Of Things

In the Era of Industry 4.0, technology has a significant impact on how people live and work. The pharmaceutical sector is likely to face an "innovator dilemma" when dealing with the Fourth Industrial Revolution. Pharmaceutical employees should prepare to adopt technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Big Data, Robotic, 3-D printing (Baines et al., 2018). Even in the industry based on technology, companies' performance does not rely solely on technological expertise. Technology is not the most significant barrier to adopting the 4.0 Era, but organizational culture and employee readiness are the biggest challenges (Vuong et al., 2019). To survive in Industrial Era 4.0, having sufficient knowledge of technology's changes and speed is essential. Nevertheless, there is no doubt that specific low-skilled jobs will be eliminated (Dirican, 2015). Supposedly, the development of technology does not replace workers but instead increases efficiency in work. Note that the future workforce has a critical role to play in the success of factory innovation. Transformation in era 4.0 requires workforces to have good competence. Keywords: Competency, Sub-Competencies, Pharma 4.0, Delphi Study

scholarly journals Project Management in the Fourth Industrial Revolution

2021 ◽  
Vol 9 (2) ◽  
pp. 79-96
Author(s):  
António Cabeças ◽  
Mário Marques da Silva
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
New Technologies ◽  
High Impact ◽  
Human Adaptation ◽  
New Paradigm ◽  
Quantum Communications ◽  
Fourth Industrial Revolution

The Fourth Industrial Revolution (also referred to as Industry 4.0) is driven by a massive utilization of new technologies, such as robots, artificial intelligence, Internet of Things (IoT), Big Data, Quantum Computing and Quantum Communications, replacing humans by machines in certain tasks or the development of new or more efficient tasks. The Fourth Industrial Revolution is originating huge modifications in society and organizations. Human adaptation to the new paradigm is required, as it will have a high impact on jobs and on the required skills.

THE FOURTH INDUSTRIAL REVOLUTION (INDUSTRY 4.0) A SOCIAL INNOVATION PERSPECTIVE

2018 ◽  
Author(s):  
Klaus Schwab
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Social Innovation ◽  
Holistic Approach ◽  
Socioeconomic Impact ◽  
Fourth Industrial Revolution ◽  
Technological Developments ◽  
Rapid Pace ◽  
Sustainable System ◽  
Industrial Revolutions

The rapid pace of technological developments played a key role in the previous industrial revolutions. However, the fourth industrial revolution (Industry 4.0) and its embedded technology diffusion progress is expected to grow exponentially in terms of technical change and socioeconomic impact. Therefore, coping with such transformation require a holistic approach that encompasses innovative and sustainable system solutions and not just technological ones. In this article, we propose a framework that can facilitate the interaction between technological and social innovation to continuously come up with proactive, and hence timely, sustainable strategies. These strategies can leverage economic rewards, enrich society at large, and protect the environment. The new forthcoming opportunities that will be generated through the next industrial wave are gigantic at all levels. However, the readiness for such revolutionary conversion require coupling the forces of technological innovation and social innovation under the sustainability umbrella.

Emerging Industrial Revolution: Symbiosis of Industry 4.0 and Circular Economy: The Role of Universities

2020 ◽  
Vol 25 (3) ◽  
pp. 505-525 ◽  
Author(s):  
Seeram Ramakrishna ◽  
Alfred Ngowi ◽  
Henk De Jager ◽  
Bankole O. Awuzie
Keyword(s):  
Economic Growth ◽  
Circular Economy ◽  
Industry 4.0 ◽  
Business Models ◽  
Industrial Revolution ◽  
New Technologies ◽  
Production Systems ◽  
Fourth Industrial Revolution ◽  
New Jobs

Growing consumerism and population worldwide raises concerns about society’s sustainability aspirations. This has led to calls for concerted efforts to shift from the linear economy to a circular economy (CE), which are gaining momentum globally. CE approaches lead to a zero-waste scenario of economic growth and sustainable development. These approaches are based on semi-scientific and empirical concepts with technologies enabling 3Rs (reduce, reuse, recycle) and 6Rs (reuse, recycle, redesign, remanufacture, reduce, recover). Studies estimate that the transition to a CE would save the world in excess of a trillion dollars annually while creating new jobs, business opportunities and economic growth. The emerging industrial revolution will enhance the symbiotic pursuit of new technologies and CE to transform extant production systems and business models for sustainability. This article examines the trends, availability and readiness of fourth industrial revolution (4IR or industry 4.0) technologies (for example, Internet of Things [IoT], artificial intelligence [AI] and nanotechnology) to support and promote CE transitions within the higher education institutional context. Furthermore, it elucidates the role of universities as living laboratories for experimenting the utility of industry 4.0 technologies in driving the shift towards CE futures. The article concludes that universities should play a pivotal role in engendering CE transitions.

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