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Most research ethic review procedures refer to the principles of safety and security only as sub-criteria of other ethical principles such as the protection of human subjects in research, thereby ignoring the public good aspect of safety and security. In addition, Research Ethics Review Committees (RECs) are usually dominated by philosophers, ethicists, medical doctors, and lawyers with limited practical backgrounds in safety and security risk management. This gap of knowledge restricts ethics reviews in carrying out project-specific safety and security risk management and defers this responsibility to lawmakers and national legal authorities. What might be sufficient in well-regulated and well-understood environments, such as the safety of individuals during clinical research, is insufficient in managing rapidly changing and emerging risks – such as with emerging biotechnologies – as well as addressing the public good dimension of safety and security.

This chapter considers governance approaches to safety and security in research. It concludes that legal mechanisms are insufficient to cope with the complexity of and the fast progress made in emerging technologies. The chapter also addresses the role and potential of research ethics as a safety and security governance approach. It concludes that research ethics can play an important role in the governance of such risks arising from emerging technologies, for example through fundamental rights and public good considerations. However, in reality the current capacity of ethics in the safety and security governance of emerging technologies is limited. It is argued that in newly emerging areas of research currently applied legal compliance–based approaches are insufficient. Instead, inclusion of fundamental risk management knowledge and closer interactions between scientists, safety, and security experts are needed for effective risk management. Safety and Security Culture provide frameworks for such interactions and would well complement the current legal compliance–based governance approaches in research ethics.

The authors report on a study that examined how academics in two faculties (Business and Science) at a large, research-focused university use information about student diversity to inform their teaching. Ninety-nine Science academics completed an online survey regarding their knowledge of their student cohort’s demographic, cultural, language, and educational backgrounds at the beginning of semester. They then received a concise two-page, course-specific document, Knowing Your Students (KYS) report, summarizing aspects of their students’ diversity. At the end of the semester, 44 of the same staff completed a second survey with open-ended questions regarding how they used the report information in their teaching and curriculum design. The report was new to Science while Business academics had received the reports for three years. To compare Science with Business, Business academics also completed the second survey. Academics across both faculties had a very positive response to the reports and engaged with the information provided. Provision of the report to Science academics brought their self-assessed knowledge of their student cohort’s diversity to a level comparable with that of Business. This chapter shares how KYS reports improved academics’ knowledge of student diversity, and challenged them to respond with suitable curriculum and pedagogical changes.

Entrepreneurial ecosystems have become policy strategies to stimulate entrepreneurial activities, yet the current understanding underlying value creation and the factors influencing this value-capturing mechanism remains limited. In this chapter, we systematically review literature related to the entrepreneurial ecosystem, and we seek to provide a greater understanding of the value creation process within an ecosystem. The findings from our content analysis shed light on the multifaceted structures and drivers of the value creation process. The study contributes to studies and theory development in the field of entrepreneurial ecosystem literature and further advances potential future research.

This chapter aims to answer whether foreign multinational corporations (MNCs) operating within the Chinese context differ from indigenous firms on several essential labor standards indicators: white- and blue-collar salaries, pension insurance, and working hours. In drawing upon neo-institutional and organizational imprinting theories and applying these to the Chinese context, the study addresses competing arguments regarding the expected effects of ownership type on these indicators. We employ seemingly unrelated regressions (SURs) to empirically examine a novel national survey of 1,268 firms in 12 Chinese cities. The regression results show that foreign MNCs do not provide uniquely beneficial labor practice packages to workers when compared with various indigenous firm types, including state-owned enterprises (SOEs), affiliate businesses of Hong Kong, Macau, and Taiwan, and domestic private enterprises (DPEs). Specifically, although MNCs provide relatively higher wage rates, they underperform relative to SOEs concerning social insurance. However, DPEs consistently underperform relative to MNCs across most indicators. The mixture of the results contributes important nuances to the application of neo-institutional and organizational imprinting theories to the Chinese context.

In this chapter, we will review the history, deregulation, policy reforms, and airline consolidations and mergers of the Chinese airline industry. The measurement of airline competition in China’s domestic market will also be discussed. Although air deregulation is still ongoing, the Chinese airline industry has become a market-driven business subject to some mild regulations. Then, we will review the impressive development of the high-speed rail (HSR) network in China and its effects on the domestic civil aviation market. In general, previous studies have found that the introduction of HSR services has a significant negative impact on airfare and air travel demand in China. The rapidly expanding network of HSR has important policy implications for Chinese airlines.

With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision makers may be challenged with satisfying multiple criteria using vague information. Fuzzy multi-criteria decision-making (FMCDM) provides an innovative approach for addressing complex problems featuring diverse decision makers’ interests, conflicting objectives and numerous but uncertain bits of information. FMCDM has therefore been widely applied in construction management. With the increase in information complexity, extensions of fuzzy set (FS) theory have been generated and adopted to improve its capacity to address this complexity. Examples include hesitant FSs (HFSs), intuitionistic FSs (IFSs) and type-2 FSs (T2FSs). This chapter introduces commonly used FMCDM methods, examines their applications in construction management and discusses trends in future research and application. The chapter first introduces the MCDM process as well as FS theory and its three main extensions, namely, HFSs, IFSs and T2FSs. The chapter then explores the linkage between FS theory and its extensions and MCDM approaches. In total, 17 FMCDM methods are reviewed and two FMCDM methods (i.e. T2FS-TOPSIS and T2FS-PROMETHEE) are further improved based on the literature. These 19 FMCDM methods with their corresponding applications in construction management are discussed in a systematic manner. This review and development of FS theory and its extensions should help both researchers and practitioners better understand and handle information uncertainty in complex decision problems.

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.

Extending the proposition that boards of directors influence firms’ mergers and acquisitions (M&As), studies have investigated how board interlocks – network ties formed by directors — may shape M&A processes and outcomes. While board interlocks and M&As are two streams of research, each underpinned by voluminous studies, their cross-fertilization has been relatively limited. In this chapter, the authors take stock of prior research investigating the relationship between board interlocks and M&As. Specifically, emphasizing the network features of board interlocks, the authors highlight a connection aspect and a structure aspect of board interlocks in appreciating their effects during pre-acquisition and post-acquisition phases. Based on this framework, the authors then lay out a research agenda that can further bridge board interlocks with M&As. Overall, this chapter endeavors to integrate and expand our knowledge on the acquisition implications of board interlocks.

This paper proposes that if a political system is more like to facilitate a unified government, to establish a strong executive body and to respond to the needs of the majority, financial reforms are more likely to emerge from the policymaking process and produce positive results. On the contrary, political systems that discourage those governing features are less likely to produce reforms. This chapter compares financial reform processes in China, Taiwan and New Zealand. All of them performed low level of financial reforms in the early 1980s but resulted in different situations later. In the mid-2000s, New Zealand heralded the most efficient and stable financial system; while Taiwan lagged behind and China performed the worst. Evidence showed that China’s authoritarian system may be the most superior in forming a unified government with a strong executive, but the policy priority often responds more to the interests of a small group of power elites; therefore the result of financial reform can be limited. Taiwan’s presidential system can produce greater financial reform when the ruling party controls both executive and legislative bodies, but legislative obstructions may occur under a divided government. New Zealand's Westminster system produces the most effective and efficient financial reform due to its unified government and a strong executive branch with consistent and stable supports from the New Zealand Parliament.