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In this study, the authors use a country-level database covering 63 economies over the period 2014–2019 and employ a wide range of proxies to discuss new technological trends in finance, particularly in the banking sector. The authors also distinguish alternative technology-based business models that directly compete with banks [financial technology (fintech) and giant technology (bigtech) credit providers]. The results suggest that banks’ increased focus on technological innovation, as measured by market value and number of patents, is a possible response to the emerging technology-based nonbank competition, particularly from fintech and bigtech firms. Additionally, the results indicate that the emergence of financial innovation contributes negatively to the average value of bank patent, indicating significant competitive pressure on banks in the technological race. Thus, banks are countering the challenge of fintech and bigtech competition in the financial market by increasing their technology projects and patenting activities. These trends are crucial and may change the stability and sustainability perspectives of banks.

We empirically investigate the forecasting ability of USD-INR exchange rate volatility models by considering Google Trends data. Within a multiple regression framework, we use historical volatility and liquidity measures to build our benchmark volatility model (Chandra & Thenmozhi, 2014). Moreover, we extend Bulut (2018) to incorporate indexes for 15 keywords (price-related, income-related, and liquidity-related) from Google Trends data into our benchmark volatility model to evaluate the forecasting ability of the models. Our results indicate that Google Trends data can improve volatility prediction and that among the groups of keywords that we consider, the price-related keywords have the best forecasting ability. Incorporating data on searches for “prices” into the model produces the highest reduction in the forecasting error: a 22.75% decrease compared to the level in the benchmark model. Hence, these empirical findings indicate that Google Trends data contain information that influences exchange rate movements.

Purpose – This study examines the meaning of shopping for Taiwanese students visiting England. It asks how this activity takes place, what purposes it serves for the students, and how the resulting purchases make meaning for the students once they return to Taiwan.

Methodology/approach – The study is ethnographic, involving observation and interviews in England as well as visual elicitation and interviews with the students once they returned to Taiwan and also some time later.

Findings – Shopping for souvenirs in England is found to be part of the process by which young Taiwanese tourists come to understand cultural differences. It is also a part of the process by which these students fulfill social obligations to those family members who have largely funded their trips. It is also a way of engaging with locals through the medium and excuse of shopping. Both the items selected and the memories they encode form thesomewhat stereotypical condensations of the experience of going abroad to “The West.”

Research limitations/implications (if applicable) – Those studied represent a young group with limited prior travel experience. Their retrospective recollections are subject to some distortion, although this is a part of the normal process of remembering.

Practical implications (if applicable) – For those planning foreign educational exchange programs, the critical role of shopping in this process should not be neglected.

Originality/value of paper – The researcher accompanied the students on their trip to England and also followed up with them once they returned home to Taiwan. This produced a rare insight into the process of tourist meaning-making during and after their trip abroad.

Instructors had to adapt to the online teaching environment after the higher education institutions were closed due to the pandemic. The authors surveyed and interviewed instructors to understand how the quality of instructional technologies affected compatibility and psychological availability, which further affected their online teaching satisfaction and online teaching intention. The results showed that both information quality and service quality were positively associated with compatibility, while system quality was positively associated with psychological availability. Also, both compatibility and psychological availability were positively associated with online teaching satisfaction. Compatibility and online teaching satisfaction were associated with online teaching intention. The results from both open-ended questions and in-depth interviews provide support to the quantitative model and present a more complete picture of what instructors experienced during the lockdown.

The study examines organization citizenship behavior (OCB) as a mediating variable between instrumental work values (IWVs) and organizational performance; and group differences between family manager and nonfamily manager for integrated models in family hotels. Data were collected from 189 hotels (n = 921) ranging from budget to three-star family hotels in Ghana using questionnaire administered conveniently. Data were analyzed using structural equation modeling. Work value positively influences OCB and organizational performance of family hotels. OCB mediates the relationship between work values and organizational performance. The study also found significant support for group differences between family and nonfamily firms for IWVs and mediating effect of OCB on the relationship between IWVs and performance.

Researchers continue to seek understanding of industrialization as a state managed process. How to create and implement new industries based on advanced knowledge is on the policy agenda of many advanced nations. Measures that promote these developments include national capacity building in science and technology, the formation of technology transfer systems, and the establishment of industrial clusters. What these templates often overlook is an analysis of use. This chapter aims to increase the understanding of the processes that embed new solutions in structures from an industrial network perspective. The chapter describes an empirical study of high-technology industrialization in Taiwan that the researcher conducts to this end. The study shows that the Taiwanese industrial model is oversimplified and omits several important factors in the development of new industries. This study bases its findings on the notions that resource combination occurs in different time and space, the new always builds on existing resource structures, and the users are important as active participants in development processes.

As the first decade of the 21st century drew to a close, the threats associated with economic crises, social inequalities, and human-induced environmental change focused unprecedented attention on global development trajectories. While questions about how the nature and impact of economic growth should be managed have long featured in environmentalist thought, the stark conditions created a new policy landscape of opportunity for alternative development strategies. National governments around the globe began to disseminate policy statements calling for ‘green growth’ and some, for example the United States, even developed stimulus packages aimed at restructuring economies towards a low carbon future. At the same time international non-governmental organisations such as the United Nations Environment Programme (UNEP) have developed entire initiatives focused on shaping what has come to be termed the ‘green economy’ (UNEP, 2011). Even large multinational corporations, such as Shell and their dialogues mechanism, are engaging with green economy discourses. New partnerships are emerging across governance sectors with Microsoft Corp and UNEP signing an agreement in 2009 to share knowledge collaboratively around green economy issues. In the United States, the BlueGreen Alliance is consolidating activity of labour unions and environmental organisations in order to maximise the number and quality of jobs in the green economy. With such a broad spectrum of actors and interests involved, it is unsurprising that there is no one agreed vision for a green economy. Some argue for development scenarios that promote reduced or no-growth pathways (Scott-Cato, 2009), others see the current crises creating innovation opportunities for new growth in different areas through processes of ‘creative destruction’ (Florida, 2010).

This chapter examines the development of accounting thought and practices in China with the purpose of illustrating its relevance to current accounting policies and practices. The review indicates that changes in accounting in China did not usually occur completely and easily. Over the past three decades, while Chinese accounting has gradually moved toward the Anglo-American model, convergence has presented unique features in China. For example, the review suggests that the accounting reforms in China have been heavily government-driven and that uniform accounting systems still remain. Chinese regulators maintain a cautious attitude toward the application of fair value and professional judgment, which are essentially the center of the Anglo-American accounting system. Furthermore, Chinese accounting regulators have a different view of business combinations from the IASB and have developed alternative accounting methods for those transactions. China’s departure from IFRS reflects its politico-economic context and essentially challenges the IASB’s goal of achieving international accounting convergence. China’s approach to internationally acceptable practices is likely to have implications for the effectiveness of the imported ideas.