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Artificial intelligence and augmented reality are two key tools gaining importance in the digital era due to their wide range of applications in different fields and sectors. Industry 4.0 lays emphasis principally on the technology used to help the business remain competitive and sustainable. Sustainable development goals are another important objective of the UN which has laid responsibility for every business to support addressing the global challenges. Purpose: This chapter essentially aims to present the standpoint of artificial intelligence and augmented reality in meeting the sustainability perspective of organizations. Information about the study is gathered through secondary approaches, critically reviewing published literature, scientific reports, and statistical data accessible through business reports, and corporate websites. Further analyzed to present the perspectives of the authors in the study. Globally artificial intelligence market size is predicted to reach $190 billion by 2025, while the funding for startups doubled during the period 2011–2020 globally. The investment in artificial intelligence is going to reach $500 by 2024 resulting in substantial revenue returns. The augmented reality market size could reach $97 billion by 2028. Artificial intelligence today is increasingly used in many fields and is attracting multiple applications in many sectors such as manufacturing, retail, education, IT, and health care and has also contributed to sustainable development the same time by providing energy conservation options, optimization, and reduction of resources, minimizing wastage, offering timely assistance on maintenance schedules, practices which are enabling organizations to reach closer to sustainability and transformation.

This contribution explores intergenerational relations and negotiations in Viet-German families. Due to family members' diverging socialization experiences in Vietnam and Germany as well as social ties in both societies, we assume that different ideas of intergenerational relations and mutual obligations may be found in Viet-German families. We distinguish between interdependent and independent intergenerational patterns of solidarity. Based on interviews with young adults – the descendants of Vietnamese migrants – four thematic areas are identified, in and through the shaping of which intergenerational relations are continuously negotiated at the face of migration-related challenges. These are (1) a childhood for the future, (2) reciprocal support, (3) individualization of family members and intimization of the family and (4) boundaries against kinship and the Vietnamese community. Our analysis reveals the emergence of a new, hybrid pattern of intergenerational solidarity, for which we suggest the term “individualized interdependence.” The role of young adults in the elaboration of this new family order stands out.

Today's marketing is dominated by decision-making based on artificial intelligence and machine learning. This study focuses on one semi- and unsupervised machine learning technique, generative adversarial networks (GANs). GANs are a type of deep learning architecture capable of generating new data similar to the training data that were used to train it, and thus, it is designed to learn a generative model that can produce new samples. GANs have been used in multiple marketing areas, especially in creating images and video and providing customized consumer contents. Through providing a holistic picture of GANs, including its advantage, disadvantage, ethical considerations, and its current application, the study attempts to provide business some strategical orientations, including formulating strong marketing positioning, creating consumer lifetime values, and delivering desired marketing tactics in product, promotion, pricing, and distribution channel. Through using GANs, marketers will create unique experiences for consumers, build strategic focus, and gain competitive advantages. This study is an original endeavor in discussing GANs in marketing, offering fresh insights in this research topic.

From the perspective of any nation, rural areas generally present a comparable set of problems, such as a lack of proper healthcare, education, living conditions, wages and market opportunities. Some nations have created and developed the concept of smart villages during the previous few decades, which effectively addresses these issues. The landscape of traditional agriculture has been radically altered by digital agriculture, which has also had a positive economic impact on farmers and those who live in rural regions by ensuring an increase in agricultural production. We explored current issues in rural areas, and the consequences of smart village applications, and then illustrate our concept of smart village from recent examples of how emerging digital agriculture trends contribute to improving agricultural production in this chapter.

This chapter provides an overview of the strategic implications of chatbot use and implementation, including potential applications in marketing, and factors affecting customer acceptance. After presenting a brief history and a classification of conversational artificial intelligence (AI) and chatbots, the authors provide an in-depth review at the crossroads between marketing, business, and human–computer interaction, to outline the main factors that drive users' perceptions and acceptance of chatbots. In particular, the authors describe technology-related factors and chatbot design characteristics, such as anthropomorphism, gender, identity, and emotional design; context-related factors, such as the product type, task orientation, and consumption contexts; and users-related factors such as sociodemographic and psychographic characteristics. Next, the authors detail the strategic importance of chatbots in the field of marketing and their impact on consumers' perceived service quality, satisfaction, trust, and loyalty. After discussing the ethical implications related to chatbots implementation, the authors conclude with an exploration of future opportunities and potential strategies related to new generative AI technologies, such as ChatGPT. Throughout the chapter, the authors offer theoretical insights and practical implications for incorporating conversational AI into marketing strategies.

Teacher educators' emotions are shaped by the fluctuating conditions of their work and variable interactions with students and colleagues. Many studies report on emotions in classrooms and teachers' regulation of emotion, yet there is limited research on emotion in teacher education. This chapter focuses on emotions that teacher educators from diverse contexts encountered during the Covid-19 pandemic. Data were written responses and interviews from teacher educators from 29 countries. Coding included identifying explicit and implicit emotion, the mood of the narrative/interview, and categorizing by theme. A shared excel sheet was used for comparison, which generated emergent themes. Interrater reliability was established using 7 data sets; the remaining were individually coded following the same procedure, then discussed. Common emotional experiences were expressed across all countries, save 3, despite the different people and cultures. Although not representative of the entire country, in general, seven themes emerged, which are: (1) feeling sorrow (2) feelings of optimism, (3) concern for future of teaching, (4) concerns for student mental and professional well-being, (5) fulfilment with ethic of care in higher education, (6) concerns over inequity, and (7) efforts in resilience. Viewed as a whole, the future of teacher education is made apparent. Despite the divergent contexts, the state of concern and goals are similar. Such insight can provide guidance for supporting teacher educators' careers, well-being, and professional development.

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

The Waorani are an Amazonian indigenous nationality with a population of 4,000. They inhabit three provinces of Ecuador: Pastaza, Napo and Orellana, and their ancestral lands contain a wealth of natural resources, which attracts the onslaught of the processes of extractivism. Significant social and economic asymmetries have also arisen in the decades since first contact. It is in this context that the Waorani Women's Association was created in 2005. Its main purpose is to end deforestation and illegal hunting of species in Waorani territory by promoting initiatives such as the cultivation of organic cocoa and handicrafts to improve the economy of families and to diminish the reliance on the preponderant economic system of use and abuse of non-renewable resources. This chapter analyzes how the spirituality of the Waorani nationality, manifested by the women who work in cocoa farms and chambira palm crafts, combine syncretism and ancestral knowledge in their daily work. It also analyzes the change of spiritual identity from the first contact with the Summer Language Institute missionaries, and subsequent evangelical, Catholic, Jehovah's Witnesses and the Church of Latter-day Saints missions to their lands.

The versatility of customer relationship management (CRM) systems has kept these technologies popular over the years. These solutions have been integrated into organizations of all sizes, from large corporations to small- and medium-sized enterprises. Similarly, CRM systems have also found applications in all types of industries and business sectors. All this has been the driving force behind the proliferation of CRM solutions around the world. In this chapter, the author not only reflects on the impact and democratization of CRM systems on business management and marketing strategies but also explores how these technologies can determine the company's income. In particular, the author presents an experiment that analyzes the extent to which the volume of annual investment in CRM solutions can be used to predict annual net income in a sample of companies. Using time series analysis and applying the autoregressive integrated moving average modeling technique, the researcher examines a sample of 10 companies from different industries, and countries, over a 20-year period. The results show the efficiency of the predictive models developed in nine of the 10 companies analyzed. The findings of this study allow us to conclude that there seems to be an association between the investments made in CRM solutions and the income of the companies that invest in these technologies.