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The concept of Industry 4.0 emerged in Germany in 2011 for the first time causes production processes to be increasingly interconnected and to be more effective owing to its economic and social benefits. The structure of international trade is getting changed due to Industry 4.0. Manufacturing sector is one of the leading sectors in international trade. Manufacturing sector which has remarkable share of exports brings up against significant challenges aiming to competitively design and manage modern products, which are changing and accelerating the complicated multi-domain systems. That producing is more innovatively due to advantages provided by Industry 4.0 impact, positively international trade. The reason is that use of advanced robotic machines and automatization in production process reduces labour costs and thus increases competitiveness of a country in the international markets. The aim of this study is to exhibit a theoretical framework between the digitalization and international trade and to examine how Industry 4.0 impacts international trade in Turkey.

There is a close relationship between labour markets and technology. Technological development enhances labour productivity and creates new jobs in some industries requiring to be different skills while it destroys jobs in ones requiring to be low-skilled. Today, it is experiencing a deep digital transformation. It may be evaluated for Industry 4.0 to cause technological unemployment due to changes in the structure of employment and to bring about new structural problems in labour market. In addition, it is expected for technological progress such as automation and robotic in the production process to negatively influence employment of low-skilled workers. Industry 4.0 has generated a new production model, in which robotic technologies are effectively used in the production process. So-called new technology-based production process has started to change production, working relationship and daily life. Discussions about the effects of the developments in technology on the labour market and unemployment are separated two groups. While there exist optimist views indicating that such development in technology will result in more productivity, pessimists believe that the use of robots, artificial intelligence, smart systems and algorithms in business life will eventually bring problems such as mass unemployment, mass poverty and social disruption. In this study, the authors aim to analyse the potential effects of Industry 4.0 on labour market in Turkey and European countries. From the findings of the study, the authors concluded that Turkey have a higher risk at automation than European countries.

Industry 4.0 has been identified as a key cornerstone to modernise economies where man and machines complement each other seamlessly to achieve synergies in decision-making and productivity for contributing to SDG 8: Decent Work and Economic Growth and SDG 9: Industry, Innovation and Infrastructure. The integration of Industry 4.0 remains a challenge for the developing world, depending on their current status in the industrial revolution journey from its predecessors 1.0, 2.0 and 3.0. This chapter reviews reported findings in literature to highlight how robotics and automated systems can pave the way to implementing and applying the principles of Industry 4.0 for developing countries like Mauritius, where data collection, processing and analysis for decision-making and prediction are key components to be integrated or designed into industrial processes centred heavily on the use of artificial intelligence (AI) and machine learning techniques. Robotics has not yet found its way into the various industrial sectors in Mauritius, although it has been an important driver for Industry 4.0 across the world. The inherent barriers and transformations needed as well as the potential application scenarios are discussed.

The objective of this chapter is to identify the key characteristics of Global Services businesses that will thrive and achieve success in the future. These factors are integrated into three main pillars, which we refer to as the Triple-Win. The first and most obvious pillar is technology as a tool. The second pillar is the design and sustainability of the business model, without which the previous factor would be merely a cost and not an investment. And last but not the least, there is the purpose which gives meaning to the proposal, focusing on the human being and their environment. The DIDPAGA business model sits at the intersection of these three elements.

Unlike the historical robots, the contemporary and futuristic ‘working’ robots within organisations are capable of taking decisions without human intervention. This chapter reviews the technical evolution of robots across history with the necessary evolution of operational procedures regarding laws and ethical standards. The objective of this review is to have a futuristic holistic insight into the new generation of robots that are invading our working environment within organisations. Out of the very wide perspective of robotics research field, this chapter only discusses the ‘working’ robots (excluding domestic, social, and warfare robots) in organisations along with its ethical and legal associated issues. To achieve this objective, the recent ‘working robot’ definition and associated expected ethics and laws, termed in this chapter as ‘Ten Commandments’ would be necessary for the utilisation of robotics before releasing ‘intelligent’ robots in the workplace environment. The proposed ‘Ten Commandments’ can be utilised by robot manufacturer to embed ‘machine testimony’ to their products. Providing that such ‘robot ethics’ built as part of the algorithmic structure of robots, a useful innovation like robot–manager is also identified in the organisational environment which can have multiple benefits as discussed in this chapter.

Scholars have been conducting serious research mainstream on the human, organizational and cultural aspects of mergers and acquisitions (M&A) for more than three decades. The current globalization is faced by the challenge to meet the continuously growing worldwide demand for capital and consumer goods by simultaneously ensuring a sustainable evolvement of human existence in its social, environmental and economic dimensions. Currently, a new era of M&A is emerging through a wave of strategic investment decision-making toward Industry 4.0 (I4.0) strategy. The new waves of M&A can be viewed as comprehensive integration of manufacturing systems, production processes, digital communications technologies and automated machines. I4.0 strategy will make supply chains and production processes more interconnected, efficient and flexible, allowing mass-customization and virtual production. This chapter offers state of the art review of I4.0 based on recent developments in research and practice. This chapter offers an overview of opportunities and challenges associated with M&A activities toward I4.0, and suggestions for future research.

The impact of rapidly developing technologies on digitalization of production and planning has affected all sectors in a short period. This impact has led to both positive and negative outcomes. While it is helping the decision-makers to make better and more productive choices, it also can create a cluster of information and data that can put an undue burden on processes. Today, we call this Industry 4.0, which is defined as the use of digital technologies, based on data processing, the end-to-end connection of value chains, and ensuring data fluidity. Industry 4.0 consists of technologies such as cyber-physical systems, internet of things, cloud computing, big data and analysis, autonomous vehicles, and augmented reality. With the digitalization of the entire production and planning processes, data-based applications are made; thus it is important to protect data in this context, pointing to the critical importance of cybersecurity. Companies are constantly working on taking the necessary cybersecurity measures to prevent exposure to any cyberattacks. One of the biggest steps toward the development of production and planning is undoubtedly the integration and adaptation of blockchain technology. The use of blockchain technologies has been a major breakthrough for the sector in order to effectively meet customer needs, ensure information security, reduce costs, and achieve rapid growth. With digital transformation, production and planning must comply with the principle of transparency. In this context, integrating blockchain technologies into the production and planning ecology for data security will provide companies with a serious competitive advantage.

Purpose – The purpose of this chapter is to conduct a critical literature review that examines the origins and development of research on service robots in organizations, as well as the key emotional and cognitive issues between service employees, customers, and robots. This review provides a foundation for future research that leverages the emotional connection between service robots and humans.

Design/Methodology/Approach – A critical literature review that examines robotics, artificial intelligence, emotions, approach/avoid behavior, and cognitive biases is conducted.

Findings – This research provides six key themes that emerge from the current state of research in the field of service robotics with 14 accompanying research questions forming the basis of a research agenda. The themes presented are as follows: Theme 1: Employees have a forgotten “dual role”; Theme 2: The influence of groups is neglected; Theme 3: Opposing emotions lead to uncertain outcomes; Theme 4: We know how robots influence engagement, but not experience; Theme 5: Trust is necessary but poorly understood; and Theme 6: Bias is contagious: if the human mind is irrational…so too are robot minds.

Practical Implications – Practically, this research provides guidance for researchers and practitioners alike regarding the current state of research, gaps, and future directions. Importantly for practitioners, it sheds light on themes in the use of AI and robotics in services, highlighting opportunities to consider the dual role of the employee, examines how incorporating a service robot influences all levels of the organization, addresses motivational conflicts for employees and customers, explores how service robots influence the whole customer experience and how trust is formed, and how we are (often inadvertently) creating biased robots.