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We all understand the everlasting harmful effects of pollution. A larger proportion of this pollution gets generated from industrial units due to use of backward technologies along with intentional or unintentional economic policies that has allowed such industries to grow over the years. Many of these industries are poor, in many cases, they do not have the ability to install abatement technologies or use emission-free green technologies for their huge cost. In many cases, they do not do so intentionally just to enjoy higher profit and due to faulty planning. But, the pollution generated from such industries makes us all suffer, especially those who live in those industrial areas. They are more exposed to the emission directly. Again, growing consensus among people about pollution has increased the consumption of eco-friendly, less-polluting products which could have a wide-ranging impact on the production techniques and can force the producers to change their production techniques, In this chapter, by applying contingent valuation method (CVM), the authors have looked to capture how far people of two very renowned industrial belts in West Bengal, Howrah and Barrackpore, are willing to contribute to the reduction of such emission level by consuming eco-friendly products and paying the emitting producers to force them to adopt pollution-free technology. The authors have applied close-ended dichotomous choice (DC) bidding technique by using logit regression and have also applied open-ended bidding process by using ordinary least square (OLS) method. In both cases, the authors have found the mean willingness to pay (WTP) is quite high which shows that people are very much willing to move towards using eco-friendly goods and technologies.

This chapter explores a descriptive theory of multidimensional travel behaviour, estimation of quantitative models, and demonstration in an agent-based microsimulation.

A descriptive theory on multidimensional travel behaviour is conceptualised. It theorizes multidimensional knowledge updating, search start/stopping criteria, and search/decision heuristics. These components are formulated or empirically modelled and integrated in a unified and coherent approach.

The theory is supported by empirical observations and the derived quantitative models are tested by an agent-based simulation on a demonstration network.

Based on artificially intelligent agents, learning and search theory, and bounded rationality, this chapter makes an effort to embed a sound theoretical foundation for the computational process approach and agent-based microsimulations. A pertinent new theory is proposed with experimental observations and estimations to demonstrate agents with systematic deviations from the rationality paradigm. Procedural and multidimensional decision-making are modelled. The numerical experiment highlights the capabilities of the proposed theory in estimating rich behavioural dynamics.

Sociology of sport in China has evolved from being an “exotic” subject to a localized subject over the past 35 years. It is closely associated with social changes, sports policy and athletic achievement of China. As a discipline of humanitarian and social sciences of sport, it is taught in virtually all universities with sports majors. There are about 500 scholars specializing in sport sociology in the country. Textbooks written by Chinese and foreign scholars are published. Academic papers on sport sociology are often published in the 15 accredited core sports journals. The most productive authors are from universities and the developed provinces and municipalities. The established research areas of sport sociology are extensive. These include national identity, athlete mobility, Olympic legacy, sport for all, sports industry issues, feminist studies, community sport, sport for the aged and disabled, etc. However, there are few studies with critical analysis and only a few in the areas of sport and religion, sport and race, and deviance in sport in China. Various kinds of financial support at different levels are available in the country. Empirical research is common with literature review, questionnaire, case study, and interview being the most frequently used methods. However, sport sociology is not considered as a major topic but as a research direction and it is not accepted widely by mainstream sociology. The future of sport sociology is promising, but not without challenges.

This chapter offers a comprehensive review the literature on authentic leadership (AL). The authors employ a bibliometric approach to identify, classify, visualise and synthesise relevant scholarly publications and the work of a core group of interdisciplinary scholars who are key contributors to the research on AL. They review 264 journal articles, adopting a clustering technique to assess the central themes of AL scholarship. They identify five distinct thematic clusters: authenticity in the context of leadership; structure of AL; social perspectives on AL; dynamism of AL; and value perceptions of AL. Velt and Sinkovics assert that these clusters will help scholars of AL to understand the dominant streams in the literature and provide a foundation for future research.

Companies over the world faced several risks related to the COVID-19 crisis. However, when quoting those risks, it is common to mix up pandemic effects with general consequences of work at home or the use of electronic communication channels. At the same time, a lot of indirect effects of the crisis are not straightforward, and some consequences may only turn evident in the long term. This chapter collects different appearances and implications of the risk caused by the epidemic based on literature review, questionnaires, in-depth interviews, and expert panels with a particular emphasis on the findings from Hungary. The authors conclude that risk effects differ little across countries but rather widely across industries and individuals. The risk map presented clarifies critical connections and offers a structured overview for the first time in the literature. A better understanding of the risk effects may assist managers and regulators when another similar crisis would emerge in the future.

Emergency situations call for effective means of providing quality education. Higher education institutions are therefore required to use effective and efficient online approaches for teaching and learning which necessitate students, academic practitioners and institutions to engage and interact with each other successfully. The purpose of this chapter is to discuss the importance of interaction and engagement in the use of blended learning online tools during emergency situations. The theoretical lens that informs the chapter is social constructivism which argues that learning is a social endeavour. The literature findings show that the effective engagement of students contributes to the overall quality of students’ produced experiences as well as pass rates. Furthermore, the importance of student–lecturer engagement and student–content engagement cannot be taken for granted. The right balance of synchronous and asynchronous online learning tools contributes to fruitful interaction and engagement. Online engagement seems to have many benefits as compared to conventional based engagement such as the ability of students to contribute to their teaching and learning. Despite these advantages, challenges associated with online learning such as balancing life commitments, confidence, students’ approach to learning, high investment costs in resources, motivation, competences of lecturers and students, interest of lecturers and students and efficacy of lecturers and students cannot be ignored. The authors therefore recommend that effective and efficient online learning requires the correct blend of online learning tools accompanied by the correct engagement strategies.

Geotechnologies have a long tradition in several areas of society and research. The recent development of the ‘Internet of Everything’ (IoE) and Geographic Information Systems (GIS) technologies opened several doors to the contribution of tourism. Emergent technologies contributions to tourism and planning such as web mapping, augmented reality (AR), crowdsourcing and crowdsensing are relatively recent, and there is a lack of research around their potential for Creative Tourism enhancement. For example, combining web mapping with AR or storytelling can be an excellent contribution to operators, planners and tourists. For research purposes, new opportunities are open, particularly by integrating community-shared data. It is well known for the popularity of social networks, the exponential growth of photo sharing, but few studies have been implemented to understand their contribution to research. This chapter focuses on emerging geotechnologies concerning cultural mapping, Creative Tourism and sustainability. Since it is a new growing niche, more research is needed to develop and understand the potential of new approaches. Besides traditional techniques such as quantitative (e.g. surveys) and qualitative ones (e.g. interviews, focus groups and world café), it revises the role of geotechnologies on Creative Tourism development and growing activities. Results from case studies from Europe are analysed.