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The following article reports on the use of PUR (polyurethane) systems for the building industry and discusses the choice of PUR raw materials available with particular reference to the surface treatment of concrete facades. One‐pack polyurethanes are used principally for impregnating concrete surfaces and solvent‐free PUR coatings can be made so elastic that cracks in concrete structural components can be bridged. Knifing polyurethane products can be used in the laying of ceramic tiles. Joint sealants can be produced either from two‐pack products or from blocked isocyanate prepolymers, which react with ketimines only in the presence of atmospheric moisture. Epoxy resin coatings are elasticised by blocked prepolymers. Statistics show that 30 per cent of plastics produced in the Federal Republic of Germany are used in the building industry. Nearly all plastics and paint binders are included in this figure. Polyurethane raw materials have also been used for many years. Apart from PUR insulating materials, polyurethanes are used in interior decoration as parquet floor varnishes, where abrasion resistance, flexibility and resistance to chemicals are required.

Rhetoric has long had a bad reputation, as synonymous with “false and empty speech”. In the last century, rhetoric has undergone an important reappraisal, which has seen it applied also to corporate communication, corporate social responsibility (CSR), and, most recently, sustainability communication. However, the bad reputation that rhetoric has accumulated over the years continues to weigh on the legacy of the discipline, creating theoretical and methodological bias. This research represents a work that aims to map and systematize the academic literature related to rhetorical analysis in the context of CSR and sustainability communication. After a systematic literature review, a state-of-art literature mapping was carried out in order to create typological clusters of current approaches within traditional rhetoric theory, holding firm the assumption that the rhetorical discipline should be considered as a set of reasoned and structured techniques useful for corporate discourse and its persuasive effectiveness. The analysis has enlightened wide academic research regarding the study of rhetoric in corporate communications studies clustered in six typologies of topic endorsed by a specific goal that rhetoric would have in the studies.

Purpose: The purpose of this chapter is to review and critically evaluate robots, artificial intelligence and service automation (RAISA) applications in the restaurant industry to educate professors, graduate students, and industry professionals.

Design/methodology/approach: This chapter is a survey of applications of RAISA in restaurants. The chapter is based on the review of professional and peer-reviewed academic literature, and the industry insight section was prepared based on a 50-minute interview with Mr. Juan Higueros, Chief Operations Officer of Bear Robotics.

Findings: Various case studies presented in this chapter illustrate numerous possibilities for automation: from automating a specific function to complete automation of the front of the house (e.g., Eatsa) or back of the house (e.g., Spyce robotic kitchen). The restaurant industry has already adopted chatbots; voice-activated and biometric technologies; robots as hosts, food runners, chefs, and bartenders; tableside ordering; conveyors; and robotic food delivery.

Practical implications: The chapter presents professors and students with a detailed overview of RAISA in the restaurant industry that will be useful for educational and research purposes. Restaurant owners and managers may also benefit from reading this chapter as they will learn about the current state of technology and opportunities for RAISA implementation.

Originality/value: To the best of the authors’ knowledge, this chapter presents the first systematic and in-depth review of RAISA technologies in the restaurant industry.

Artificial intelligence (AI) is revolutionizing businesses and daily life, with AI-powered technologies like personal assistants and medical diagnostic systems transforming how we interact and make decisions. However, the ethical implications of these technologies cannot be ignored. AI systems can produce biased results and decisions if not designed to be fair and unbiased. Corporate digital responsibility (CDR) provides a valuable framework for addressing these ethical dilemmas. Service organizations need to navigate CDR issues across the data and technology life-cycle stages (e.g., their creation, operation, refinement, and retention) and across its digital service ecosystem (including its external business partners). Despite the risks associated with poor CDR practices, companies may adopt them to benefit from data monetization, enhanced customer experience, and productivity improvement. To mitigate these risks and build a strong CDR culture, organizations need to establish ethical norms, prioritize customer privacy, and ensure equitable power dynamics with business partners. The emergence of generative AI poses enhanced CDR challenges, such as AI complexity, monitoring, accountability, and workforce changes. Going forward, CDR is a crucial framework for firms to address the needs of their multiple stakeholders and to ensure sustainable business practices in the increasingly digital service world.

Research on the dynamics of Collaborative Enterprises Networks (CEN) lacks consistency and industrial feedback. The purpose of this paper is to present insights and lessons learned from an industrial case study dealing with the practical experience gathered during the creation, alliance development, and business operation phases of a CEN.

The proposed research methodology relies on qualitative approach, using unstructured interviews with the main decision makers in the network. The objective of the interviews is to highlight the most important events in the lifecycle of the network. From the important elements discussed, success and failure key factors are identified.

Through the case study, the authors identify the main success and failure key factors to consider in CENs. Furthermore, relying on the current state of the art, they highlight the main research directions, particularly with respect to the development of modelling approaches capturing the dynamics of these systems.

The identification of the success and failure key factors and their corresponding technologies, systems and human perspectives is aimed at providing links between theoretical models and practical implications to both academics and industrialists. The challenges and developmental areas proposed provide the basis for new models capturing the dynamics and the evolution of CENs.

The authors of this chapter focus on the development of comparative education in 10 countries of Eastern and Central Europe. A historical approach is applied to the study of the main characteristics of comparative education. The first part of the chapter is devoted to the origin of comparative education studies in this region from the fifteenth to seventeenth centuries till the end of the nineteenth century. The second part of the chapter examines the process of establishment of comparative education as a science and the appearance of the first lecture courses on comparative education in some countries of this region from the beginning of the twentieth century till the end of World War II. The third part presents the state of comparative education during the years of socialism – from the end of World War II to the fall of the Berlin Wall. The fourth part surveys the modern development of comparative education in Eastern and Central Europe from the beginning of democratic changes in 1989 to the present day. While presenting comparative education in each historical period, the authors first show the most prominent comparativists, then emphasize on comparative education as a university discipline, and finally synthesize the main characteristics of the development of comparative education during the period of view. The chapter concludes with some generalizations on the four periods.

Global Mindset (GM) is a multifaceted construct that has received broad interest among practitioners and academics. It is a fragmented construct at this point in time, due to definitional overlap with other constructs such as global leadership and cultural intelligence. This overlap has created complexity for research that attempts to understand GM in isolation. Lack of clear boundaries in defining and conceptualizing this construct challenges researchers who are attempting to capture fully what constitutes GM. Our work seeks to better understand and explain what underlines the individual GM construct and how does this impact the development of global competencies in individual managers.

We systematically review and analyze the individual GM literature thematically to provide an overview of the extant research from a broad array of scholarly sources dating from 1994 to 2017. Our work offers a thematic analysis that provides a visual guide to GM by tracking the corpus of individual-level GM studies. We categorize the research according to its theoretical groundings and basic concepts and proceed review how GM has been operationalized at the individual level and measured. Next, we integrate major dimensions in the GM research and propose a framework to enhance understanding of the phenomenon. Finally, we discuss the implications of our review for the development of GM for practitioners, coaches and trainers.

This paper provides some justification for the observation that managers hedge transaction and translation risk through financial contracts and not economic risk as recommended by economists. One reason for the observed behavior is uncertainty in the perception of economic risk. If the manager is more heavily penalized for mishedging than rewarded for proper hedging, then uncertainty of perception may induce him not to hedge economic risk. Another reason is that accounting rules may lead to high accounting losses if economic risk is properly hedged by financial contracts.