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Forces of globalization have driven international convergence in corporate governance and accounting considerably over the past few decades. Nevertheless, despite the global trend, convergence of corporate governance and financial reporting remains a subject of debate. This research monograph critically examines whether China’s convergence with Anglo-American corporate governance principles and the International Financial Reporting Standards (IFRS) is likely to produce the expected outcomes of improving the transparency and comparability of accounting information in Chinese firms. In this chapter, we discuss the motivation for and the significance of the study; describe the issues associated with the adoption of internationally acceptable standards and principles in China; explain the theoretical framework used to inform the study and research methodology; and present the aim and objectives of the monograph.

The objective of the study is to prove the suitability between the implementation of human capital disclosures on the financial statements of local governments in Indonesia and the political system, economic system, legal system, social and cultural system, and accounting infrastructure system based on institutional theory. The study is carried out by conducting a meta-analysis on human capital disclosure fit to institutional theory. The study finds that it is more appropriate using accounting infrastructure system for human capital disclosures on the financial statements of local governments in Indonesia. Based on a meta-analysis, it is found that the normative isomorphism is widely used in Indonesia. It should be implemented on human capital disclosures on the financial statements of local governments in Indonesia. Then, it is also found that there are many regulations on human capital but there are only a few human capital disclosures on the financial statements of local governments in Indonesia.

The global financial crisis (GFC) of 2007–2008 had far-reaching consequences for the global economy, triggering widespread economic turmoil. We use the event-study method to investigate whether investors priced the effect of significant events before the Lehman Brothers' bankruptcy in European and Asia-Pacific banks. Abnormal returns on the event days range from −4.32% to 5.03% in Europe and −5.13% to 6.57% in Asia-Pacific countries. When Lehman Brothers went bankrupt on September 15, 2008, abnormal returns averaged the lowest at −4.32% in Europe and −5.13% in Asia-Pacific countries. The significant abnormal returns show that Lehman Brothers' collapse was a turning point, and investors paid attention to the precrisis events as warning signs of the oncoming crisis.

This chapter reviews the methods available to hospitality and tourism researchers to perform moderation analysis with continuous variables in partial least squares structural equation modeling (PLS-SEM), with the objective of enhancing understanding and encouraging the use of these techniques in future papers. The product term method is presented first, followed by an empirical example/application in the context of hospitality and tourism. Two extensions, namely the two-stage approach that can help cope with formative and higher-order constructs, and the orthogonalizing approach that can help generate more accurate results and overcome multicollinearity among tourism variables in the presence of a continuous moderator variable, are then presented and discussed. The chapter concludes by presenting guidelines and recommendations for improving the use of interaction effects in analyses of tourism variables, as well as highlighting ongoing developments in both the product term method and PLS-SEM software.

The aim of this review is to reflect the current state of Financial Technology (FinTech) research along with its journey of development. Further, a conceptual framework showing the interaction of independent, mediating, and moderating variables with dependent variables (acceptance of FinTech products and services) along with propositions is prepared to facilitate the future researchers. This systematic literature review consists of 110 articles from 78 journals indexed in two academic databases (Scopus and/or Web of Science), extracting facts and figures about FinTech during 2016–2021. Our findings contribute to the literature by exemplifying that FinTech is a mixed set of threats and opportunities. In the present review only 18 articles belong to 2016–2017 but 54 articles are considered from 2020–2021, the increasing number of FinTech articles in high-ranking journals indicate the speedily growing popularity of FinTech. Similarly, secondary data based articles are dominating the primary data based ones. Further, regression analysis and PLS-SEM are the most popular statistical techniques among the authors of FinTech articles. To the best of knowledge of the authors, this is a unique study in which the latest FinTech research findings are skimmed.