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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 focuses on the influence of the home government on the internationalization of Russian multinational enterprises (MNEs). It views government involvement and political connectedness as a form of informal connections and networks that seriously impact operations in general and internationalization, in particular in the case of Russian multinationals. Using the literature on MNEs from emerging markets and our familiarity with Russian business and political specificities, we develop a set of five propositions devoted to the subject. We further discuss the research and management implications of our analysis.

This chapter examines the impact of sectoral indebtedness on GDP in Czechia, initially a low-indebted small open economy in which debt dynamics are becoming a major concern. The impact of household debt, non-financial corporation debt and public debt is analysed with the use of local projections based on instrumental variable estimations. The results show a more pronounced influence of household debt compared to non-financial corporation and government debt. Initially, increasing household debt stimulates short-run economic activity, but in the medium run, it limits household consumption and negatively affects output. This negative impact gradually turns into a positive effect in the long run. Non-financial corporation debt has a negative short- to medium-run impact but can have a small positive effect in the long run due to the prevalence of tradable industries. Public debt initially has a short-run negative impact, but then gradually becomes positive. Overall, the findings have implications for macroeconomic policies and the importance of monitoring financial stability.

The healthcare sector in India is witnessing phenomenal growth, such that by the year 2022, it will be a market worth trillions of INR. Increase in income levels, awareness regarding personal health, the occurrence of lifestyle diseases, better insurance policies, low-cost healthcare services, and the emergence of newer technologies like telemedicine are driving this sector to new heights. Abundant quantities of healthcare data are being accumulated each day, which is difficult to analyze using traditional statistical and analytical tools, calling for the application of Big Data Analytics in the healthcare sector. Through provision of evidence-based decision-making and actions across healthcare networks, Big Data Analytics equips the sector with the ability to analyze a wide variety of data. Big Data Analytics includes both predictive and descriptive analytics. At present, about half of the healthcare organizations have adopted an analytical approach to decision-making, while a quarter of these firms are experienced in its application. This implies the lack of understanding prevalent in healthcare sector toward the value and the managerial, economic, and strategic impact of Big Data Analytics. In this context, this chapter on “Predictive Analytics in Healthcare” discusses sources, areas of application, possible future areas, advantages and limitations of the application of predictive Big Data Analytics in healthcare.

This study examines the effect of employees' perceptions of political connections on performance measurement systems (PMS) design choice and firm performance. In addition, this study explores the moderating effect of social networking, a very common and widely used factor by domestic and foreign multinational firms operating in China, and its joint effect with political connections or PMS design choice on firm performance. We collected survey responses from a sample of 110 managers from manufacturing firms in China. Our results reveal that highly politically connected managers use nonfinancial measures, leading to improved firm performance. Our results suggest that social networking interacts significantly with political connections, and nonfinancial and financial measures on firm performance. The theoretical and practical implications of our findings are discussed.

The overall goal of this chapter is twofold. First, the authors aim to identify indigenous phenomena that influence employee turnover and retention in the Chinese context. Second, the authors link these phenomena to the contextualization of job embeddedness theory. To achieve the goal, the authors begin by introducing three macro-level forces (i.e., political, economic, and cultural forces) in China that help scholars analyze contextual issues in turnover studies. The authors then provide findings in the literature research on employee retention studies published in Chinese academic journals. Next, the authors discuss six indigenous phenomena (i.e., hukou, community in China, migrant workers, state-owned companies, family benefit prioritization, and guanxi) under the three macro-level forces and offer exploratory propositions illustrating how these phenomena contribute to understanding employee retention in China. Finally, the authors offer suggestions on how contextualized turnover studies shall be conducted in China.

The Iranian entrepreneurial ecosystem has grown dramatically during the past decade. Several improvements have been made at different levels, and, therefore, one could witness its unique achievements. Digital entrepreneurs are an integral part of this ecosystem, as most of the early achievements are the results of their proactive behaviors. Hopefully, the number of female digital entrepreneurs has increased, and their entrepreneurial activities have profoundly changed the competition scene. Therefore, this chapter provides a better understanding of the multilayered entrepreneurial ecosystem of Iran and then elaborates how female entrepreneurs are positioned in this ecosystem. Moreover, six well-known award-winning female digital entrepreneurs are introduced, and their challenges are scrutinized accordingly through narrative research. Finally, the chapter concludes with some remarks and directions for future research.

Although various studies have investigated the corporate political activity (CPA), however, there is no definite report which shows its effect on the public policy outcome or the organization’s performance. Hence, the political effects of the corporate social responsibility (CSR) have garnered a lot of recent interest since the CSR included activities which have an intended or an unintended effect on the CPA–corporate financial performance (CFP) link. We use data made available by the 1995 Lobbying Disclosure Act, while the CSR indices were gathered from the Fortune Magazine’s most admired companies from 2007 to 2016. We analyzed the relationship between the organization’s CPA and CFP, with the help of the dynamic panel data system generalized method of moment (GMM) estimation. Their results showed that the CPA did not improve the firm’s performance. Moreover, CPA and CSR are substitute in affecting financial performance, because they are essentially exclusive investments that require resources but do not have synergies.