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This chapter examines how the everyday interactions that are fostered with the circulation of debt impact the socioeconomic order in which they operate. Employing the theoretical framework of “circuits of commerce,” scholars have examined how social relations and economic activities intertwine, are negotiated and transformed through the circulation of debt. The focus of such studies has been on the motives of actors, such as the desire for relationship-making, and structural conditions, like the inaccessibility of formal institution, that necessitate the emergence of debt-centered circuits of commerce (Hampton, 2003; Heslop, 2016; James, 2014). However, such circuits also have broader impacts and affect socially pervasive moral evaluations and work cultures (Ho, 2009; Zelizer, 2011). Building on these findings, I examine commission-based alliances among showroom owners and tour guides in Agra’s tourism market to understand how “bad debt” between them shapes Agra’s local tourism economy.

This chapter is based on ethnographic research conducted in 2012–2013 with Agra’s tourism entrepreneurs, like showroom owners, tour guides, and convincers.

Entrepreneurs’ everyday practices around the circulation of debt impact how tourism in Agra is perceived and conducted. Although debt is initiated to mitigate uncertainty of getting clientele, its circulation exacerbates that very uncertainty.

This chapter contributes to the theory of economic practice, highlighting how economic actors, through their everyday practices, shape the macro-structure of the economic system in which they operate.

This chapter draws upon empirical data collected with former violent extremists in the UK to address the phenomenological attractions of engaging in terrorism. We argue that there needs to be more consideration of the attractions of belonging to a terrorist organization and a more thorough appreciation of the experiences that attract people to acts of terrorism. This chapter begins to address these issues by engaging with Jack Katz's (1988) research on the phenomenological foreground, the compelling and seductive qualities of engaging in criminal acts. Katz's highly original and influential research shifts attention away from traditional criminological approaches that emphasize structural background factors such as class, unemployment, gender, poverty, or education. As Katz argues, this structural level of analysis overlooks the subjective phenomenological feelings that accompany criminal behavior. We argue that this is a serious omission as it is precisely the search for thrill, risk, and intense excitement that can serve to motivate further acts of criminality.

Disruptive technologies are accelerating global growth. Artificial intelligence (AI) has the potential to transform the idea of delivering value to end users. On the other hand, the growth of Industry 5.0 has given rise to the concept of humanizing technology, and AI is a promising technology with the potential to contribute to business success. Nevertheless, the idea of value creation in the field of AI is novel, so it is necessary to define the meaning of value by understanding the context of AI applicability in different environments and industries. In this chapter, the author uses the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) procedure to conduct an SLR that provides interesting insights into the focus, industries, and methodologies and approaches used in existing research. Following the initial literature review on the state of the art of AI and value creation, the author also offers a reflection on the strategic implications of AI in the field of marketing, postulating a macrovalue creation framework that addresses the existence of implications on three different levels: emerging markets, Sustainable Development Goals, and adoption issues. Therefore, this chapter examines the value creation perspectives of AI to understand the current research focus and future directions.

Climate change data and predictions for the Himalayas are very sparse and uncertain, characterized by a “Himalayan data gap” and difficulties in predicting changes due to topographic complexity. A few reliable studies and climate change models for Nepal predict considerable changes: shorter monsoon seasons, more intensive rainfall patterns, higher temperatures, and drought. These predictions are confirmed by farmers who claim that temperatures have been increasing for the past decade and wonder why the rains have “gone mad.” The number of hazard events, notably droughts, floods, and landslides are increasing and now account for approximately 100 deaths in Nepal annually. Other effects are drinking water shortages and shifting agricultural patterns, with many communities struggling to meet basic food security before climatic conditions started changing.

The aim of this paper is to examine existing gaps between current climate models and the realities of local development planning through a case study on flood risk and drinking water management for the Municipality of Dharan in Eastern Nepal. This example highlights current challenges facing local-level governments, namely, flood and landslide mitigation, providing basic amenities – especially an urgent lack of drinking water during the dry season – poor local planning capacities, and limited resources. In this context, the challenge for Nepal will be to simultaneously address increasing risks caused by hazard events alongside the omnipresent food security and drinking water issues in both urban and rural areas. Local planning is needed that integrates rural development and disaster risk reduction (DRR) with knowledge about climate change considerations. The paper concludes with a critical analysis of climate change modeling and the gap between scientific data and low-tech and low capacities of local planners to access or implement adequate adaptation measures. Recommendations include the need to bridge gaps between scientific models, the local political reality and local information needs.