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In India, travellers are beginning to pay attention to dark tourism recently. This study aims to empirically investigate tourists revisit intention (TRI) to dark tourism destinations (DTD) in Indian urbanscapes. Here, a comprehensive moderated mediation method was applied to enhance TRI towards DTD via dark tourism motivational factors (DTMF). Understanding history, mass and social media and curiosity are the dimensions of DTMF.

Data were collected through structured questionnaires from a sample of 360 tourists’ from various DTDs in city of Kolkata, India. A structural equation modelling method was applied to investigate the hypothesis.

The findings showed DTMF dimensions enhanced the revisit intention for DTD in the city. Tourist satisfaction (TS) in dark tourism mediates the effects of DTMF on revisit intention. The mediation effects of satisfaction are diverse among high- and low-involved tourists.

The findings can be helpful for marketers, government and other stakeholders to make dark tourism products more feasible by identifying the DTMF, which further helps to promote dark tourism among the urban tourists.

This study shed light on the domain of dark tourism in urbanscapes in Kolkata, which was not previously explored. Furthermore, it suggests a moderated-mediated model for enhancing TRI to the DTD in the city, which involves TS as mediator and tourist involvement as moderator. Thus, this study enables an understanding of motivations for TRI in DTD.

The study aims to cluster the travellers based on their social media interactions as well as to find the different segments with similar and dissimilar categories according to traveller's choice. The study also aims to understand the behaviour of clusters of the travellers towards destination selection and accordingly make the tour packages in order to improve tourists' satisfaction and gain viable benefits.

Agglomerative hierarchical clustering with Ward's minimum variance linkage algorithm and model-based clustering with parameterized finite Gaussian mixture models has been implemented to achieve the respective goals. The dimension reduction (DR) technique was introduced for better visualizing clustering structure obtained from a finite mixture of Gaussian densities.

A total of 980 travellers have been clustered into 8 different interest groups according to their tourism destinations selection across East Asia based on individual social media feedback. For selecting the optimal number of clusters as well as the behaviour of the interested travellers groups, both these proposed methods have shown remarkable similarities. DR technique ensures the reduction in dimensionality with seven directions, of which the first two directions explained 95% of total variability.

Tourism organizations focus on marketing efforts to promote the most attractive benefits to the clusters of travellers. By segmenting travellers of East Asia into homogeneous groups, it is feasible to choose a similar area to test different marketing techniques. Finally, it can be identified to which segments, new respondents or potential clients belong; consequently, the tourism organizations can design the tour packages.

The study has uniqueness in two aspects. Firstly, the study empirically revealed tourists' experience and behavioural intention to select tourism destinations and secondly, it finds quantifiable insights into the tourism phenomenon in East Asia, which helps tourism organizations to understand the buying behaviours of tourists' segments. Finally, the application of clustering algorithms to achieve the purpose of this study and the findings are very new in the literature on tourism, to understand the tourist behaviour towards destination selection based on social media reviews.

The chapter focuses on the roles of different socio-economic indicators in explaining the convergence or inclusiveness of income across different income groups in the world. Econometric, statistical and mathematical tools have been used as methodology. As major results, overall greater role of socioeconomic factors of social sustainability (SS) than economic sustainability (ES), have been found. This have caused greater income inequality among these various income groups of the world, with income diverging among various groups of countries, mainly, within Principal Country Groups II, together with slight sign of income convergence among the rest Principal Country Groups I and III respectively. However, greater predominance of inclusiveness aspect of socio-economic factors of ES, is also found among the Groups I and III respectively, together with their significant roles in raising CHI. This may have led to the possibility of slight income convergence within these groups.

Nanotechnology is nowadays very much successful in producing specifically functionalized nano-sized particles. In this work, copper nanoparticles were prepared by reduction method which is greener and environmentally suitable, cheap and best as compared to other conventional methods, particularly in the context of COVID in globalized world. The formation and size of copper nanoparticles was evidenced by the X-ray diffraction and transmission electron microscopy. The very high surface area of 35–50 m²/gm and very small crystallite sizes of 5–15 nm of these metal nanoparticles is mainly responsible for their effective involvement in removal of carbon dioxide gas as one of major hazardous pollutants from the environment. This chapter, as its main objective, mainly focuses on utility of nano technology and its beneficiary in creating a sustainable environment in economic world. Apart from laboratory experimental procedure and characterizations for preparation of copper nanoparticles, appropriate research methods such as simple statistical, econometric tools and mathematical tools have been used for economic analysis. However, as major findings of the results, developed countries have been successful in maintaining a sustainable human development, in spite of having higher per capita income (PCI) growth as compared to the role of developing countries with lower PCI in this global world.