scholarly journals Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review

2020 ◽  
Vol 12 (10) ◽  
pp. 4035 ◽  
Author(s):  
Violeta Sima ◽  
Ileana Georgiana Gheorghe ◽  
Jonel Subić ◽  
Dumitru Nancu
Keyword(s):  
Artificial Intelligence ◽  
Human Capital ◽  
Consumer Behavior ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Internet Technology ◽  
The Internet ◽  
Human Capital Development ◽  
Capital Development ◽  
The Internet Of Things

Automation and digitalization, as long-term evolutionary processes, cause significant effects, such as the transformation of occupations and job profiles, changes to employment forms, and a more significant role for the platform economy, generating challenges for social policy. This systematic literature review aims to provide an overview of the research to date related to influences of the Industry 4.0 Revolution on human capital development and consumer behavior. A search on the Web of Science identified 160 papers that met the inclusion criteria. The major objectives aimed to identify: the main types of influences of the Industry 4.0 Revolution on human capital development and consumer behavior; the main opportunities and challenges for new directions in education associated with shifting the work environment; and the drivers for human capital development and consumer behavior through the lenses of the Industry 4.0 Revolution. The results revealed some key aspects for the development of human capital: information, new jobs, the Internet, technology, training, education, new skills, automation, communication, innovativeness, professionals, productivity, artificial intelligence, digitalization, e-recruitment, and the Internet of Things, as well as the main drivers of consumer behavior: information, e-commerce, digitalization, the Internet of Things, e-distribution, technology, digitalization, automation, personalized, performance, artificial intelligence, behavior intention, e-shopping, and data mining.

Developing Trends in Power and Networking Technologies for Intelligent Cities

2021 ◽  
pp. 61-85
Author(s):  
Kadir Alpaslan Demir ◽  
Buğra Turan
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Ambient Intelligence ◽  
The Internet ◽  
Key Technologies ◽  
Intelligent Cities ◽  
Networking Technologies ◽  
The Internet Of Things

The introduction of Industry 4.0 has increased the focus on a number of technologies. These technologies also help realize the vision for intelligent cities. Furthermore, there are already discussions of Industry 5.0. One emerging aspect of Industry 5.0 is human-robot co-working. With the help of artificial intelligence, the internet of things paradigm, Industry 4.0, and Industry 5.0 visions, there will be two predominant types of systems interfacing with people in intelligent cities. These are robotic and ambient intelligence systems. The increasing deployment of these will help make cities even smarter. However, we need to see advancements in a number of relevant key technologies, including power and networking technologies. In this chapter, first, the authors briefly discuss Industry 4.0, Industry 5.0, and intelligent cities paradigm, as well as robotic and ambient intelligence systems. Then, they focus on developing trends in power and networking technologies.

The Future of Modern Jobs

2020 ◽  
pp. 124-149
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Business Models ◽  
The Internet ◽  
Learning Journey ◽  
New Business ◽  
To Come ◽  
The Internet Of Things ◽  
New Business Models

Throughout this book, the authors have discussed the implications of the rise of artificial intelligence, Industry 4.0, the internet of things, and new business models that do not have any known precedents. While discussing the skills needed to survive in the modern economy, they have yet to address the issue of what will become of our jobs. Will our children dream of the same jobs we dreamed once before? Will they require the same studies we had to follow to reach our actual positions? Will our jobs still exist by the time we reach the pension, or will we need to reinvent everything that we know of? The authors do not have an answer to these questions; what they can do is only make educated guesses about what is about to come and be ready for it. In this last chapter, the authors see what experts think our future will look like and give their educated opinion in what to invest in our lifelong learning journey to be on top of this unprecedented disruption of the economy.

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.

Tap

2017 ◽  
Author(s):  
Anindya Ghose
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Consumer Behavior ◽  
Internet Of Things ◽  
Personal Data ◽  
The Internet ◽  
Mobile Advertising ◽  
Wearable Technologies ◽  
The Internet Of Things

Consumers create a data trail by tapping their phones; businesses can tap into this trail to harness the power of the more than three trillion dollar mobile economy. According to this book's author, this two-way exchange can benefit both customers and businesses. Drawing on extensive research and on a variety of real-world examples from companies including Alibaba, China Mobile, Coke, Facebook, SK Telecom, Telefónica, and Travelocity, the book describes some intriguingly contradictory consumer behavior: people seek spontaneity, but they are predictable; they find advertising annoying, but they fear missing out; they value their privacy, but they increasingly use personal data as currency. When mobile advertising is done well, the book argues, the smartphone plays the role of a personal concierge. The book identifies nine forces that shape consumer behavior, including time, crowdedness, trajectory, and weather, and examines how these forces operate, separately and in combination. It highlights the true influence mobile wields over shoppers, the behavioral and economic motivations behind that influence, and the lucrative opportunities it represents. In a world of artificial intelligence, augmented and virtual reality, wearable technologies, smart homes, and the Internet of Things, the future of the mobile economy seems limitless.

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.

scholarly journals Przemysł 4.0 i sztuczna inteligencja: szansa czy zagrożenie dla realizacji koncepcji zrównoważonego i trwałego rozwoju?

2021 ◽  
Vol 65 (1) ◽  
pp. 7-26
Author(s):  
Barbara Siuta-Tokarska ◽  
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Holistic Approach ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Physical Systems ◽  
The Internet Of Things ◽  
Industrial Revolutions

This paper discusses the problems connected with visible changes in industry in the context of the consequent four industrial revolutions. The last one is associated with “industry 4.0”, which in turn manifests in the presence of the following constitutive parts (systems): cyber physical systems, the Internet of Things, the Internet of Services and intelligent factories. Another important factor of the ongoing changes is the appearance of a new branch, which tries to comprise in its theoretical divagations the problems discussed in IT, mathematics, neurophysiology, electronics, psychology, anthropology and philosophy. In the experimental area this realm, in turn, is treated as a branch of IT. All these constituents can be defined as artificial intelligence. The aim of this research is an attempt to answer the question posed in the title of the article, taking into consideration the potentially most holistic approach to these problems in the context of sustainable development of the constituent capitals taking into consideration not only the increasing of opportunities but maximizing the benefits in the natural, social and economic spheres.

scholarly journals Artificial Intelligence and the Internet of Things in Industry 4.0

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
Omar Santos
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Leading Industry ◽  
Key Technologies ◽  
The Internet Of Things ◽  
State Of Art ◽  
Social Level

AbstractThis paper presents a new design for artificial intelligence in cyber-physical systems. We present a survey of principles, policies, design actions and key technologies for CPS, and discusses the state of art of the technology in a qualitative perspective. First, literature published between 2010 and 2021 is reviewed, and compared with the results of a qualitative empirical study that correlates world leading Industry 4.0 frameworks. Second, the study establishes the present and future techniques for increased automation in cyber-physical systems. We present the cybersecurity requirements as they are changing with the integration of artificial intelligence and internet of things in cyber-physical systems. The grounded theory methodology is applied for analysis and modelling the connections and interdependencies between edge components and automation in cyber-physical systems. In addition, the hierarchical cascading methodology is used in combination with the taxonomic classifications, to design a new integrated framework for future cyber-physical systems. The study looks at increased automation in cyber-physical systems from a technical and social level.

Sustainable Security for the Internet of Things Using Artificial Intelligence Architectures

2021 ◽  
Vol 21 (3) ◽  
pp. 1-22
Author(s):  
Celestine Iwendi ◽  
Saif Ur Rehman ◽  
Abdul Rehman Javed ◽  
Suleman Khan ◽  
Gautam Srivastava
Keyword(s):  
Internet Of Things ◽  
Detection System ◽  
Experimental Testing ◽  
Cyber Attacks ◽  
Internet Technology ◽  
The Internet ◽  
Business Operations ◽  
Private Data ◽  
The Internet Of Things ◽  
Better Than

In this digital age, human dependency on technology in various fields has been increasing tremendously. Torrential amounts of different electronic products are being manufactured daily for everyday use. With this advancement in the world of Internet technology, cybersecurity of software and hardware systems are now prerequisites for major business’ operations. Every technology on the market has multiple vulnerabilities that are exploited by hackers and cyber-criminals daily to manipulate data sometimes for malicious purposes. In any system, the Intrusion Detection System (IDS) is a fundamental component for ensuring the security of devices from digital attacks. Recognition of new developing digital threats is getting harder for existing IDS. Furthermore, advanced frameworks are required for IDS to function both efficiently and effectively. The commonly observed cyber-attacks in the business domain include minor attacks used for stealing private data. This article presents a deep learning methodology for detecting cyber-attacks on the Internet of Things using a Long Short Term Networks classifier. Our extensive experimental testing show an Accuracy of 99.09%, F1-score of 99.46%, and Recall of 99.51%, respectively. A detailed metric representing our results in tabular form was used to compare how our model was better than other state-of-the-art models in detecting cyber-attacks with proficiency.

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