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Key enabling technologies (KETs) are a set of six technological components that work together to address social challenges and build advanced for sustainable economies. Industry 5.0, the next industrial development, is designed to capitalize on specialists' unique creativity while also collaborating with powerful, intelligent, and precise technologies. Industry 5.0 outsourced repetitive and monotonous activities to robots/machines requiring employees to perform activities that involve critical thinking and are based on the 6R (Recognize, Reconsider, Realize, Reduce, Reuse, and Recycle), to improve production quality. With numerous supporting technical advancements, advanced and quick manufacturing concentrating on the interaction of machines and humans may be produced. Maintaining healthcare and nursing care, evaluating patients' health requirements using KETs, and giving care with manpower are all major advancements in Industry 5.0 today. Future studies may focus on providing healthcare using mainly technology and, therefore, no human workers. This chapter highlights healthcare advances in Industry 5.0, where KETs and people collaborate to create and innovate. In this framework, the purpose of this chapter is to present the deployment of KETs in the nursing patient care process.

In this chapter, the author explores the principles of responsible management education through the lens of Taoism. This chapter begins by introducing the concepts of knowledge-inquiry and wisdom-inquiry and highlights the differences between the two in the context of management education. The author emphasizes the importance of wisdom-inquiry in management education, arguing that it allows individuals to not only understand and analyze information but also to apply ethical considerations when making decisions. This chapter delves into how to synthesize knowledge and wisdom in education, highlighting the need for a balance between technical skills and ethical awareness in management education. This chapter concludes with an examination of the principles of managing talent by balancing competence and character. The author discusses how to hire for character and train for competence in human resources management and development. This approach involves focusing on developing individuals' character traits, such as integrity, compassion and empathy, in addition to their technical skills. This chapter demonstrates the value of incorporating Taoist principles into management education. When the importance of wisdom-inquiry, balancing competence and character, and developing ethical leaders is emphasized, management education can prepare individuals to navigate the complexities of the modern business landscape while promoting responsible business practices.

Anthropomorphism in Artificial Intelligence (AI)-powered devices is being used increasingly frequently in consumer-facing situations (e.g., AI Assistants such as Alexa, virtual agents in websites, call/chat bots, etc.), and therefore, it is essential to understand anthropomorphism in AI both to understand consequences for consumers and to optimize firms' product development and marketing. Extant literature is fragmented across several domains and is limited in the marketing domain. In this review, we aim to bring together the insights from different fields and develop a parsimonious conceptual framework to guide future research in fields of marketing and consumer behavior.

We conduct a review of empirical articles published until November 2021 in Financial Times Top 50 (FT50) journals as well as in 41 additional journals selected across several disciplinary domains: computer science, robotics, psychology, marketing, and consumer behavior.

Based on literature review and synthesis, we propose a three-step guiding framework for future research and practice on AI anthropomorphism.

Our proposed conceptual framework informs marketing and consumer behavior domains with findings accumulated in other research domains, offers important directions for future research, and provides a parsimonious guide for marketing managers to optimally utilize anthropomorphism in AI to the benefit of both firms and consumers.

We contribute to the emerging literature on anthropomorphism in AI in three ways. First, we expedite the information flow between disciplines by integrating insights from different fields of inquiry. Second, based on our synthesis of literature, we offer a conceptual framework to organize the outcomes of AI anthropomorphism in a tidy and concise manner. Third, based on our review and conceptual framework, we offer key directions to guide future research endeavors.

This chapter aims to analyze how digital entrepreneurship is developed in the food industry of the European Union, comparing digital skills and big data indicators in all enterprises and the food industry. Using Eurostat Digital Economy and Society database, the authors obtained data between 2016 and 2020 – including the indicators: information and communications technology (ICT) specialists and ICT training to digital skills, and smart devices, geolocation, and social media to big data assessment. Furthermore, we compared all enterprises with those that manufacture beverages, food, and tobacco products. The authors identified that the food sector is still behind the other sectors regarding digitalization. Consequently, this research contributes to understanding entrepreneurs’ digital skills and how them relate to the use of big data in the food industry. Moreover, it also allows identifying the digital indicators of the food industry as less innovative than other industry digital indicators.

In conventional discourses on sustainability, the relationship between economics and ecology is central. A number of nations' economies benefited from responsible tourism following these conferences. By supporting local businesses and attractions, ‘green’ tourism helps communities achieve their natural and cultural objectives while also preserving their limited resources. In terms of sustainable travel, Kerala was an early leader. This study looks at RT initiatives in various stages, with an emphasis on green tourism's sustainable responsible travel practises. The green economic development bottom line method was used for this descriptive research. These results highlight the difficulties inherent with RT implementation. Our review of secondary data shows that the first rollout of RT was unsuccessful, but that subsequent stages showed great promise. In order to create sustainable tourism on a worldwide scale, the study also highlights the necessity for more research in other culturally distant places.

The last few years have witnessed massive artificial intelligence (AI) and gaming adoption that has navigated the emerging markets. Moreover, according to the WOG summit (world government summit report, by Nielsen) 2020 reports, AI with gaming mechanisms are expected to enrich marketing services in the coming future in the emerging markets. Countries such as India, China and South Korea contribute significantly to this area, and recent forecasting allows the need to increase in emerging markets. Similarly, these countries have a maximum number of youth gamers and AI-driven technology adopters. The adoption of AI-driven technologies and amplification of gamification in marketing services are new phenomena. Moreover, gaming and AI dynamics are relatively new in emerging countries and need greater attention. Thus, this book chapter proposes a dyad model that would explain users' and companies' perspectives to understand the role of AI and gamification for the emerging markets. The chapter will explain how AI-driven gamification helps the users of emerging markets. The chapter will also illustrate how companies in emerging markets use AI for gamification. Therefore, the dyad model would also comprehend the gap, opportunities and challenges in this area and the subsequent strategies to help all the stakeholders.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

This chapter presents a systematic review of over 30 types of online marketing methods. It describes different methods like email marketing, social network marketing, in-game marketing and augmented reality marketing, among other approaches. The researchers discuss that the rationale for using these online marketing strategies is to increase brand awareness, customer-centric marketing and consumer loyalty. They shed light on various personalization methods including recommendation systems and user-generated content in their taxonomy of online marketing terms. Hence, they explain how these online marketing methods are related to each other. The researchers contend that the boundaries between online marketing methods have not been clarified enough within the academic literature. Therefore, this chapter provides a better understanding of different online marketing methods. A review of the literature suggests that the “oldest” online marketing methods including the email and the websites are still very relevant for today’s corporate communication. In conclusion, the researchers put forward their recommendations for future research about contemporary online marketing methods.