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This study is designed to identify the policy shift on migrant children's11There are various definitions of migrant children in urban China. In this research, migrant children refer to the children from rural areas who have resided with their parents at the urban areas for at least six months without local household registration status. education at national level in urban China22With the rapid socioeconomic development and urbanization in China, the definition of urban China is changing. In this research, urban China refers to the major cities in China, such as Beijing, Shanghai, Guangzhou, Tianjin, Chongqing, and so forth. during the past decades. Meanwhile, it is expected to explore the policy limitations reflected by the practice at school level regarding accommodating migrant children's education.

This study is conducted through policy review regarding education for migrant children and analysis of data collected through questionnaires and interviews at one public junior high school in Beijing.

This study identifies a positive change of involving migrant children in urban public schools. However, there is a need for flexible mechanism that can fully accommodate various needs regarding migrant children's education in urban public schools.

The study argues the necessity of a multipartnership for establishing a sustainable public education system for accommodating migrant children education in urban public schools.

Being different from other research on the same issue in urban China, this study leads a new round of discussion on the quality education for migrant children.

Purpose: Analysis and systematisation of global trends in the transformation of DSSs from the standpoint of solving their global and local problems and determining the central axioms of setting up and supporting business processes in DSSs.

Need of the Study: Decision Support Systems (DSSs) are the basis of doing business in an enterprise by automating business processes, keeping accounting and reducing various risks associated with complexity, labour-intensiveness, slow execution time and, therefore, potential loss of profit. In recent decades, the rapid development of DSSs has led to the emergence of complex enterprise information system architectures. At the same time, many local business processes are not implemented or are partially implemented. In Ukraine, such techniques include VAT accounting.

Methodology: The study is based on the literature analysis, Internet resources and practical experience obtained during the SAP ERP system implementation projects. Particular attention is paid to developing information systems architecture to solve the problems enterprises face during their growth. Thanks to the analysis of the example of the realisation of the Internet sales process and the induction method, the axioms of automation of business processes in accounting systems were formed.

Findings: Regardless of the qualitative and quantitative transformation, modern DSSs still cannot solve all the enterprise’s problems, mainly due to the use of paper documents and the diversity of national legislation. By the example of the SAP ERP system, the optimal implementation of the business process of VAT liabilities was proposed by Ukrainian legislation for sales below cost price.

Practical Implications: Compliance with the established axioms of automation of business processes will reduce the cost of resources for their implementation, maintenance and correction of potential errors and, therefore, will provide an opportunity to process more transactions. Implementing the proposed algorithm for calculating VAT liabilities in SAP ERP for sales below the cost price will simplify the existing process and enable the fulfilment of other requirements within the framework of current legislation.

Purpose: Cryptocurrency technology has improved fast in the social economy and growth. Because cryptocurrency has many good qualities, it is initially employed for Bitcoin transactions.

Methodology: With the advent of Bitcoin, the link between distributed ledger technology (DLT) and the banking market has become stronger and more integrated. As more banking institutions understood the relevance of DLT, they began experimenting with using it in financial activities, such as R3CEV, Hyperledger, and Qiwi.

Findings: Many commercial organisations are beginning to experiment with DLT to reduce transactional costs and boost operational effectiveness, particularly in financial notes, cross-border payments, and asset-backed financing.

Practical Implications: DLT has many potential applications in banking domains in the upcoming years.

Purpose: The aim of this chapter is to provide a quantitative literature review on machine learning (ML) and artificial intelligence (AI) in the Insurance Sector.

Need for the Study: The current study maps the literature regarding AI and ML in the insurance sector through bibliometric tools to identify the significant gaps in the available literature, considerable insights that emerged, and a scientific evaluation of AI and ML in the Insurance sector.

Methodology: The VOS viewer method was used to conduct the depth and quantitative analysis of the AI and ML in Insurance. The study of 450 articles has been retrieved through the Scopus database from 2012 to 2021. The implication of performance analysis methods has helped to explore influential journals, authors, countries, Keywords, and affiliations, elevating the literature in AI and the Insurance Sector.

Finding: This study conducts an exploratory analysis and identifies the prominent authors, sources, countries, affiliations, and articles using modern bibliometric analysis (BA) tools. The geographic scattering of the study indicates that the USA and the UK have highly influential publications and contribute to AI and Insurance. East and Southern Asia countries are far behind.

Practical Implication: Furthermore, this chapter can be used as a reference paper to explore the new field of study in the insurance sector using AI. The search criteria were set in the study to limit the sample published papers/articles included in Scopus data based on the AI and ML in Insurance.

Distributed ledger technologies, and particularly blockchain, have attracted significant attention recently and we believe that it is right time to look back the literature and digest the accumulated knowledge. The purpose of this study is to contribute to the existing knowledge of blockchain technology by surveying the stock of research about this newly rising technology. We conducted a descriptive analysis of current academic and business research on blockchain technology and categorized the studies according to source, field, approach, geography, affiliation, and cryptocurrency-focus. We accompanied this with a global patent publication analysis and presented our insights and takeaways from our analyses.

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.

Online shopping cart abandonment presents a major problem for online fashion apparel retailers today. This exploratory research aims to validate scales that measure antecedents of online shopping cart abandonment (OSCA) and examine how these reasons contribute to OSCA behaviour. The findings indicated that the eight different reasons (financial reasons, organisational tool, time pressure, intangibility, privacy issues, aesthetic design, social influences and entertainment factors) that drive OSCA are distinct and account for unique variance in the model, validating the measures. Also, the findings revealed that financial reasons and using the cart as an organisational tool are the top two reasons why consumers abandon their carts. This study provides researchers with a better theoretical understanding of the reasons why consumers abandon their online shopping carts. It validates the various reasons why consumers abandon their shopping carts and provides valuable managerial insights on how online marketers may enhance the translation of online browsing behaviour into actual purchases.

Introduction: Blockchain technology is the method of storing the data systematically, such that it is impossible to change, defraud or hack the data. Distributed Ledger Technology is another name for this technology. It is like a digital ledger of numerous transactions stored or distributed throughout the Blockchain extensive network by a computer system. Banks offer critical services like payments, clearance and settlement systems, trade finance, securities, etc. Hence, there are fraud and mistakes in these key services due to many manual procedures and human mediators.

Purpose: The main purpose of this chapter is to study the emerging role of Blockchain in banking services. This chapter will attempt to examine the significance and applications of Blockchain in banking operations. This chapter will also investigate the challenges encountered by banks in adopting Blockchain technology.

Research Methodology: In this research chapter, secondary data are collected by studying the various journal papers and scholarly articles, with exact keywords like: blockchain, banking sector, applications and blockchain role. Data are collected from the Emerald, Springer Open, Google Scholar, and Science Direct databases.

Findings: This technology will enhance transparency in banking transactions in the coming future. The adoption of Blockchain will transform the banking system in many ways, such as faster payment and settlement systems, security management and fundraising.

Recently, sharing economy is gradually accepted by people, and it has expanded from life to knowledge. It is important to encourage people to produce high quality content in knowledge sharing area, and knowledge payment is one of the most effective ways to achieve it. Therefore, the knowledge payment has been regarded as a huge business opportunity, and it is of great meaning to study the development trend and feasibility of knowledge payment. This chapter, through big data methods, analyzes the business model of Zhihu (a Chinese platform of knowledge sharing) after it introduced knowledge payment projects, such as Zhihu Live and Pay Consultation. According to data of Zhihu users’ Q&A, concerned fields and others, this chapter tries to outline its user profile to find out the target groups of different topics, the proper form of knowledge payment and the hot topics of Zhihu Live. Through the analysis of knowledge graph, this chapter finds that Zhihu Live is expected to be the mainstream knowledge payment form in the future, and the most potential topics are mainly focused on science, law, and business. Meanwhile, it establishes a pricing model for Zhihu Live, and provides suggestions for the development of knowledge payment.

In an urbanising world, neighbouring is perceived to be steadily losing significance and a remnant of the past. The same belief can also be found in China where rapid urbanisation has had a tremendous impact on the social networks and neighbourhood life of urban residents. This chapter challenges the common perception of neighbouring in demise and argues that neighbouring remains an important form of social relationship, even if the meanings and role of neighbouring have changed. This chapter first charts the changing role of neighbouring from the socialist era to post-reform China. It then provides an account of four common types of neighbourhoods in Chinese cities – work-unit estates, traditional courtyards, commodity housing estates and urban villages – and considers how and why neighbouring in different ways still matters to them. In pre-reform socialist China, neighbourhood life and neighbouring comprised much of the daily social life of residents. Since the reform era, with the proliferation of private commodity housing estates, middle-class residents prioritise comfort, security and privacy, such that neighbouring levels have subsided. Nevertheless, in other neighbourhood types, such as work-unit housing estates, traditional courtyards and urban villages, neighbours still rely upon one another for various reasons.