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Due to the global labor market challenges, international companies react and adjust fast to these circumstances by implementing digital solutions into all business processes. Organizational ambidexterity is seen as the response of digital transformation and it can be divided into structural, contextual, and sequential dimensions. In this context, organizations representing the smart industry will need employees with specific competencies which let them meet technological challenges.

This chapter aims to clarify the state of opinion on expectations towards, and preparedness for, the impact of Industry 4.0 on human resources management and the implementation of various types of ambidexterity in these companies. We have conducted interviews with key HR informants from manufacturing companies operating in Germany and Poland. We have found that Industry 4.0 has a significant impact on HR practices. In both international companies, various digital solutions in employee recruitment, development, and performance, have been implemented. There have also been mature examples in both companies of structural, contextual, and sequential ambidexterity.

This paper investigates effective human-robot collaboration (HRC) and presents implications for Human Resource Management (HRM). A brief review of current literature on HRM in the smart industry context showed that there is limited research on HRC in hybrid teams and even less on effective management of these teams. This book chapter addresses this issue by investigating factors affecting intention to collaborate with a robot by conducting a vignette study. We hypothesized that six technology acceptance factors, performance expectancy, trust, effort expectancy, social support, organizational support and computer anxiety would significantly affect a users' intention to collaborate with a robot. Furthermore, we hypothesized a moderating effect of a particular HR system, either productivity-based or collaborative. Using a sample of 96 participants, this study tested the effect of the aforementioned factors on a users' intention to collaborate with the robot. Findings show that performance expectancy, organizational support and computer anxiety significantly affect the intention to collaborate with a robot. A significant moderating effect of a particular HR system was not found. Our findings expand the current technology acceptance models in the context of HRC. HRM can support effective HRC by a combination of comprehensive training and education, empowerment and incentives supported by an appropriate HR system.

Leadership cannot exist without followership. The phenomenon of direction and guidance, coaching and mentoring, has at least three components: the leader, leadership, and followers. With each component, the composition of purpose and goals, ethics and morals, rights and duties, and skills and talents is critically important. While the leader is the central and the most important part of the leadership phenomenon, followers are important and necessary factors in the leadership equation. Leaders and followers are engaged in a common enterprise: they are dependent upon each other; their fortunes rise and fall together. Relational qualities define the leadership–followership phenomenon. A major component of such a relationship is how the leaders create and communicate new meaning to followers, perceive themselves relative to followers, and how the followers, in turn, perceive their leader. This mutual perception has serious ethical and moral implications – how leader uses or abuses power, and how followers are augmented or diminished. This chapter features the essentials of ethical and moral, corporate executive leadership in two parts: (1) the Theory of Ethical and Moral Leadership and (2) the Art of Ethical and Moral Leadership. Several contemporary cases such as inspirational leadership of JRD Tata, Crisis of Leadership at Infosys, and Headhunting for CEOs will illustrate our discussions on the ethics and morals of corporate executive leadership.