The Future of Human Workers

Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein

New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, but machines can become more human-like. The traditional model of educating workers for the workforce is fast becoming irrelevant. There is a massive need for the retooling of human workers. Humans need to be trained to remain focused in a society which is constantly getting bombarded with information. The two basic elements of physical and mental capacity are slowly being taken over by machines and artificial intelligence. This changes the fundamental role of the global workforce.

Author(s):  
Aboobucker Ilmudeen

Today, the terms big data, artificial intelligence, and internet of things (IoT) are many-fold as these are linked with various applications, technologies, eco-systems, and services in the business domain. The recent industrial and technological revolution have become popular ever before, and the cross-border e-commerce activities are emerging very rapidly. As a result, it supports to the growth of economic globalization that has strategic importance for the advancement of e-commerce activities across the globe. In the business industry, the wide range applications of technologies like big data, artificial intelligence, and internet of things in cross-border e-commerce have grown exponential. This chapter systematically reviews the role of big data, artificial intelligence, and IoT in cross-border e-commerce and proposes a conceptually-designed smart-integrated cross-border e-commerce platform.


Management ◽  
2018 ◽  
Vol 22 (2) ◽  
pp. 187-203 ◽  
Author(s):  
Dominika Kaczorowska-Spychalska

Summary Digital resolution is currently one of the most important forces determining changes and their dynamics in the social, cultural and economic dimension. Digital technologies such as the Internet of Things and Artificial Intelligence will, according to Gartner’s Hype Cycle for Emerging Technologies 2017, play an increasingly important role while creating a new quality of the market space. Yet, these are multidimensional issues whose potential should be considered both, from the perspective of enterprises that create and/or adapt such technologies in their production, logistics or sale processes as well as in consumer perspective taking into account a degree of awareness, interest and fascination of potential buyers, users with such devices and solutions. This is determined by dualism of approach to digital technologies (economic approach vs. humanistic approach) and evaluation of their potential benefits and threats. It seems, however, that virtualization of consumer behaviour as a consequence of impact of technologies such as the Internet of Things and Artificial Intelligence, can at the same time be a significant driving force of further processes of digitalization, its dimensions and dynamics. The article attempts to identify the impact of digital technologies (IoT and AI) on attitudes, preferences and decisions of consumers and presented discussion was based on the results of own studies in the analysed area.


2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Murat Kuzlu ◽  
Corinne Fair ◽  
Ozgur Guler

AbstractIn recent years, the use of the Internet of Things (IoT) has increased exponentially, and cybersecurity concerns have increased along with it. On the cutting edge of cybersecurity is Artificial Intelligence (AI), which is used for the development of complex algorithms to protect networks and systems, including IoT systems. However, cyber-attackers have figured out how to exploit AI and have even begun to use adversarial AI in order to carry out cybersecurity attacks. This review paper compiles information from several other surveys and research papers regarding IoT, AI, and attacks with and against AI and explores the relationship between these three topics with the purpose of comprehensively presenting and summarizing relevant literature in these fields.


Author(s):  
Mahmut Sami Ozturk

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.


Author(s):  
Anindya Ghose

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.


Author(s):  
Mahmut Sami Ozturk

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.


2021 ◽  
Vol 30 (01) ◽  
pp. 026-037
Author(s):  
Binyam Tilahun ◽  
Kassahun Dessie Gashu ◽  
Zeleke Abebaw Mekonnen ◽  
Berhanu Fikadie Endehabtu ◽  
Dessie Abebaw Angaw

Summary Background: Coronavirus Disease (COVID-19) is currently spreading exponentially around the globe. Various digital health technologies are currently being used as weapons in the fight against the pandemic in different ways by countries. The main objective of this review is to explore the role of digital health technologies in the fight against the COVID-19 pandemic and address the gaps in the use of these technologies for tackling the pandemic. Methods: We conducted a scoping review guided by the Joanna Briggs Institute guidelines. The articles were searched using electronic databases including MEDLINE (PubMed), Cochrane Library, and Hinari. In addition, Google and Google scholar were searched. Studies that focused on the application of digital health technologies on COVID-19 prevention and control were included in the review. We characterized the distribution of technological applications based on geographical locations, approaches to apply digital health technologies and main findings. The study findings from the existing literature were presented using thematic content analysis. Results: A total of 2,601 potentially relevant studies were generated from the initial search and 22 studies were included in the final review. The review found that telemedicine was used most frequently, followed by electronic health records and other digital technologies such as artificial intelligence, big data, and the internet of things (IoT). Digital health technologies were used in multiple ways in response to the COVID-19 pandemic, including screening and management of patients, methods to minimize exposure, modelling of disease spread, and supporting overworked providers. Conclusion: Digital health technologies like telehealth, mHealth, electronic medical records, artificial intelligence, the internet of things, and big data/internet were used in different ways for the prevention and control of the COVID-19 pandemic in different settings using multiple approaches. For more effective deployment of digital health tools in times of pandemics, development of a guiding policy and standard on the development, deployment, and use of digital health tools in response to a pandemic is recommended.


2021 ◽  
pp. 263-284
Author(s):  
Oscar H. Gandy Jr.

The afterword provides a detailed description of developments in the area of privacy and surveillance after the turn of the century and of the rapid developments in information technology and the monopoly firms like Google, Facebook, Apple, and Amazon, which have come to dominate the flow of information and the appropriation of consumer surplus. Its focus on technological systems includes the expanded internet, with special emphasis on the Internet of Things and the impact of the connections between humans, sensors, and machines. Special attention is paid to transformations in the nature of capitalism, reflected in assessments made by Shoshana Zuboff with regard to its focus on surveillance, and David Lyon and Bernard Harcourt with regard to the role of social media and the exhibitionist culture that it helped to develop. The risks to democratic systems associated with developments in computation and analysis, accelerated through advances in artificial intelligence and machine learning, are described in the context of transformations in governance likely to accompany the emergence of an algorithmic Leviathan. At this point, an assessment of Jacques Ellul’s predictions about the future of our democratic systems is provided once again.


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