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In recent years, a great number of top conferences and workshops on artificial intelligence (AI) were held in China, showing Chinese AI plays an important role in the world. Meanwhile, Chinese government announced an ambitious scheme, “New Generation Artificial Intelligence Development Plan,” for the country to become a world leader in AI technologies by 2030. The AI research in China has covered various aspects, ranging from chips to algorithms. This chapter attempts to give an overview of the recent advances of AI research and development in China, as well as some perspectives on the future development of AI in China.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

Food fraud as intentional deception for economic gain relies on a low-tech food value chain, that applies a ‘paper-and-pencil approach’, unable to provide reliable and trusted data about food products, accompanied processes/activities and actors involved. Such approach has created the information asymmetry that leads to erosion of stakeholders and consumers trust, which in turn discourages cooperation within the food chain by damaging its ability to decrease uncertainty and capability to provide authentic, nutritional, accessible and affordable food for all. Lack of holistic approach, focus on stand-alone measures, lack of proactive measures and undermined role of customers have been major factors behind weaknesses of current anti-fraud measures system. Thus, the process of strong and fast digitalisation enabled by the new emerging technology called Industry 4.0 is a way to provide a shift from food fraud detection to efficient prevention. Therefore, the objective of this chapter is to shed light on current challenges and opportunities associated with Industry 4.0 technology enablers' guardian role in food fraud prevention with the hope to inform future researchers, experts and decision-makers about opportunities opened up by transforming to new cyber-physical-social ecosystem, or better to say ‘self-thinking’ food value chain whose foundations are already under development. The systematic literature network analysis is applied to fulfil the stated objective. Digitalisation and Industry 4.0 can be used to develop a system that is cost effective and ensures data integrity and prevents tampering and single point failure through offering fault tolerance, immutability, trust, transparency and full traceability of the stored transaction records to all agri-food value chain partners. In addition, such approach lays a foundation for adopting new business models, strengthening food chain resilience, sustainability and innovation capacity.

The purpose of this study is to analyse the role of the clean development mechanism (CDM) established by the Kyoto Protocol in channelling foreign technology to China. Appraising the experience of CDM remains of key importance when drawing lessons for the post-2012 climate regime.

Descriptive analysis of the sources and the determinants of foreign technology transfer based on the examination of 1,355 registered projects. Econometric analysis of the probability of having a foreign supplier of technology in any project.

The prominence of German firms as technology providers and the absence of a strong relationship between technology suppliers and credit buyers. The econometric analysis finds that project size and cost, project location, credit buyers’ and consultants’ characteristics, as well as technology diffusion are all relevant factors in determining the probability of having a foreign supplier of technology.

China is a particularly interesting case for analysing technology transfer in CDM projects since, after a slow start, the country has become the largest and most dynamic CDM recipient worldwide. Furthermore, the analysis of CDM projects may offer some insights into the complex web of technological links between Chinese and foreign firms.

The transfer of emission-saving technologies to developing countries is expected to play a major role in addressing environmental problems worldwide.

This study analyses the sources and determinants of international technology transfer in CDM projects in China, and offers some insights into how the characteristics of the major players and the links between them affect this phenomenon.

Air pollution affects labour productivity and these effects arise in both indoor and outdoor environments and at varying levels of worker skill. They also arise at levels of air pollution generally considered to be within existing air quality standards and guidelines. Although the damage per individual is small when compared to more extreme events, such as mortality and hospitalisations, the effects are more widespread and may thus represent a significant cost to society. Labour is an essential element in every nation’s economy serving as one of the primary factors of production and India not an exception. Investing in human capital is viewed as a key source of sustained increase in labour productivity and economic growth. On the other hand, environmental regulations are typically considered to be a struggle on the economy. However, improved environmental quality may actually enhance productivity by creating a healthier workforce. At the same time, air pollution may affect labour productivity and can reduce the productivity of workers in physically demanding occupations. This chapter may be an attempt to provide comprehensive estimates of the major air pollutants in different states of India and also tries to identify the linkage between air pollution and labour productivity in case of Indian manufacturing sector.

Research and debate on the value and deployment of Indigenous Knowledge (IK) has become contentious. While many agree that it is something that is both threatened and valuable, there are enormous conceptual difficulties encountered in framing what, exactly, it is that IK proponents should be fighting to preserve. This chapter uses insights from James C. Scott’s work on legibility and Bruno Latour’s work in the sociology of knowledge to privilege what we call relative epistemological performativity. This framework stands in contrast to attempts to privilege problematic essentialist views of “indigenous,” “Western,” or “scientific” knowledge. With this framework we are able to challenge some of the “antipolitics” implicit in educational development agenda that promote cultural and cognitive homogeneity as well as find space for hybrids like using ICT to strengthen IK. Finally, we conclude that the profound differences in conceptualizing the epistemology and ontology of IK should not detract from widespread agreement on the need for pedagogical practices that protect threatened local languages, cultures, and ecological knowledge.

The main aim of this chapter is to systematize observations regarding changes in entrepreneurship in Serbia during the previous decade, having in mind some key factors such as high-impact low-probability (HILP) events, dynamic development in the sphere of information technologies (IT), and foreign direct investments (FDI). The choice of these factors was made in accordance with the fact that there were no significant changes in other external factors in the sphere of entrepreneurship (regulatory framework, financial conditions, and socio-political instability). This chapter discusses the assumptions that HILP events and FDI can have both positive and negative impacts on individual sectors or agglomerations of entrepreneurship, while only positive impacts are attributed to IT development. Using official databases and annual financial and business reports given by entrepreneurial agencies and micro and small enterprises we created a set of reports that indicate the strength and direction of the influence of the mentioned factors and their consequences in the sphere of entrepreneurship at the level of Serbia and selected cities, based on the fact that the entrepreneurial ecosystem in those cities faced greater than average challenges. The selected ratios indicate changes in the growth rate of the entrepreneurship sector (number of entrepreneurs and employees) as well as in the improvement of its competitiveness (productivity, assets, and profit per employee).

This first chapter explores the basic foundation of corporate ethics: the human person in all its dignity and mystery, its corporeality and emotionality, and its cognitive and volitive capacities of moral development. Four fundamental characteristics of the human person, namely individuality, sociality, immanence, and transcendence, will be examined for their potential to understand, live, experience, and witness corporate ethics and morals. We explore the profound meaning and mystery of human personhood invoking several philosophies of the good and human dignity as exposed by Aristotle and Thomas Aquinas in the West, by the doctrine of Dharma in the East as expounded by Gautama Buddha, Mahabharata, and Bhagavad Gita, and by Prophets Confucius and Tao, in the East. Several contemporary cases of great human personhood are analyzed: for example, Peace Nobel Laureate Nelson Mandela from South Africa (1993) and Peace Nobel Laureate Liu Xiaobo from China (2017) – cases of human abuse that turned into triumphs of human dignity.