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Bankruptcy prediction has attracted a great deal of research in the data mining/machine learning community, due to its significance in the world of accounting, finance, and investment. This chapter examines the influence of different dimension reduction techniques on decision tree model applied to the bankruptcy prediction problem. The studied techniques are principal component analysis (PCA), sliced inversed regression (SIR), sliced average variance estimation (SAVE), and factor analysis (FA). To focus on the impact of the dimension reduction techniques, we chose only to use decision tree as our predictive model and “undersampling” as the solution to the issue of data imbalance. Our computation shows that the choice of dimension reduction technique greatly affects the performances of predictive models and that one could use dimension reduction techniques to improve the predictive power of the decision tree model. Also, in this study, we propose a method to estimate the true dimension of the data.

Special education in China has lagged behind regular education for many years, however, the past few decades, the government has made considerable efforts to develop and improve the special education system. While the citizens of China have had a generic moral interest in disability since ancient times, the development of special education schools did not occur until American and European missionaries started schools for the visually and hearing impaired in the 19th century. The next major influence in the development of the special education system occurred with China’s Cultural Revolution in 1978. Interestingly, there is not any exclusive legislation on special education but in the 1980s, the government started Learning in Regular Classrooms (LRC), which is China’s version of inclusion. LRC has progressed rapidly the past two decades; however, the quality of instruction is low due to a lack of specialists, a shortage of personnel, inadequate funding, and limited technology as well as other barriers that are delineated in the chapter. The chapter emphasizes the government’s recent efforts in in-service teacher training, the preparation of preservice teachers, working with families, developing community rehabilitation training programs, and implementing evidence-based practices. Special education in China today is at a good place but it has quite a way from the ideal situation.

This chapter examines the significance of green innovation and technologies for sustainable business in Asia, focussing on the issues and challenges confronted by contemporary sustainable business models. The concept of sustainable development is introduced, which seeks to minimize negative impacts on ecosystems and preserve the environment for future generations. This chapter's methodology entails a comprehensive review of existing literature and research on green innovation, green technology, and sustainable business models in Asia. The expansion of ‘green’ energy is directly proportional to the global demand for energy resources. Understanding how green innovation influences a company's capacity for sustainable development is essential for identifying the factors that influence sustainable business models and their economic consequences. Green innovation practices encompass a variety of factors, including government regulations, preferences, supplier competence, and consumer concerns. Green technologies, such as green human resource management (HRM) practices and green innovation practices, play a crucial role in attaining sustainable development by conserving energy, protecting the environment, and enhancing business efficiency. Businesses that adopt green innovation acquire a competitive edge and enhance their performance. This chapter emphasizes the importance of green innovation research and application for business stability in Asia, where sustainability and green concepts are acquiring momentum. Customer, government, and societal pressures further emphasize the significance of green innovation in businesses. For the success of ecological innovation practices, collaboration and knowledge-sharing among various stakeholders are crucial. The adoption of green innovation practices is influenced by external environmental impacts, stakeholder pressure, and organizational support. Green technology innovation, which concentrates on resource conservation, energy efficiency, and environmental protection, is crucial to the sustainability of a business. This chapter concludes by emphasizing the importance of business sustainability in achieving environmental and economic goals and assuring sustainable corporate development. Long-term success requires an understanding of the process of value creation, delivery, and capture within sustainable business models.

Overconsumption of resources has become a global issue. To deal with resource depletion and mitigate these impending crises, the circular economy (CE) holds some promise. A wide range of performance measurements for CE have emerged over the years. However, with increasing complexity of supply chains, appropriate and potentially new performance measurements are needed for effective CE management. Blockchain is an innovative technology that may advance CE development. This chapter provides an overview of the potential linkages between blockchain technology and CE from sustainability perspectives – the specific focus will be on the performance measurement of reverse logistics activities. One of the main findings indicates that both blockchain and CE performance measurements – especially reverse logistics processes – are still evolving in both theory and practical developments. Future directions with a critical analysis including research and theoretical applications will conclude this chapter.

Purpose – This chapter reviews the provision for freight transport in Shanghai, and makes recommendations for the development of road freight including the aspects of optimizing the port transportation system, strengthening the planning and construction of freight terminals, promoting the formation of a city distribution system, adjusting downtown traffic policies, and promoting the provision of road freight information systems.

Methodology – Based on primary data and observation, this chapter describes the status of road freight in Shanghai and details existing problems. Based on experience elsewhere it then proposes changes in policy.

Findings – This chapter proposes some recommendations as follows: optimizing the collection and distribution system of the Shanghai port, planning, and construction of road freight terminals, adjusting the freight traffic policy in the central area and improving the performance of freight firms.

Implications – These recommendations, based on good practice elsewhere, should both enhance the efficiency of road freight in Shanghai and reduce its environmental impacts.

Value of chapter – The study will help the sound and orderly development of Shanghai's road freight transportation, better satisfy the needs of the people, and promote the development of Shanghai economy.

In this contribution, we systematically review the extant global leadership literature to identify important bibliometric and thematic patterns in evidence in this evolving field of scholarship. Conceptualizing the phenomenon to include leaders/managers/supervisors who hold global, expatriate, or international positions, we draw out insights accumulated from a total of 327 published articles in key management and organizational behavior journals listed in Scopus. Our analysis proceeds in two sequential phases. Our bibliometric analysis first identifies the most cited articles, most published first authors, country bases of first authors, and frequently publishing journals in this field. This characterizes both the diversity and innovative nature of scholarship in the field. Our thematic content analysis, generated through Nvivo 11, isolates two dominant overarching themes that represent the wellspring for the body of literature, namely global leader development and global leader effectiveness. These themes of development and effectiveness are further explicated through six distinct lenses namely cultural, cognitive, learning, personality trait, social/relational, and political. These lenses are underpinned by a suite of theoretical perspectives encompassing individual, system, and contextual considerations. In combination, these sets of analyses bring added systematics to the field and serve as a point of departure for future inquiry.