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The paper's aim is to document the development of a novel tool to address the inadequacies of existing cocitation visualization tools.

The paper demonstrates the visualized effects of this tool and supplements the results with a case study that utilizes a large data set to explore the cross‐field studies among different computer science fields.

The tool displays cocitation graphs with latent visual cues and allows direct manipulation of the visualized graphs. The tool also facilitates the exploration of the relationships between articles in the graphs.

The indirect cocitation relationships are vividly visualized by the citation network itself. The context lost by the conventional cocitation network may be preserved. Instead of being linked by explicit lines, the implicit cocitation relationships are shown by the closeness among the cocited nodes.

The preserved context of a cocitation network may facilitate the exploration of latent cross‐field studies. The cocitation visualization tool demonstrates that the context of the cocitation graph is preserved by using the citation network itself to reveal cocitation relationships.

The cocitation relationships are implied by the closeness among cocited nodes in a citation graph. The paper documents this novel approach which has not been seen before.

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.

This paper aims to collect and compile the historical data of Guanfu Salt Farm, officially built by the Song Dynasty (960–1279) within modern Hong Kong territories, to reconstruct its history for the reflection of Hong Kong society of the time.

This paper is largely based on identification and analysis of historical documents, including keyword search on electronic databases and verification with the original sources, with reference to archaeological findings when necessary.

This paper reconstructs the history of Guanfu Salt Farm based on documentary sources with reference to archaeological findings. English translation of Chinese sources is also provided when necessary.

There has been an absence of systematic compilation of historical data of Hong Kong during the Song Dynasty, which are limited in quantity and scattered across different sources. This paper seeks to fill the vacuum of knowledge about pre-colonial Hong Kong, with a more comprehensive reconstruction of the history of Guanfu Salt Farm.

The Communist revolution in China has led to the appearance in this country of increasing numbers of Chinese books in Russian translation. The Chinese names in Cyrillic transcription have presented many librarians and students with a new problem, that of identifying the Cyrillic form of a name with the customary Wade‐Giles transcription. The average cataloguer, the first to meet the problem, has two obvious lines of action, and neither is satisfactory. He can save up the names until he has a chance to consult an expert in Chinese. Apart altogether from the delay, the expert, confronted with a few isolated names, might simply reply that he could do nothing without the Chinese characters, and it is only rarely that Soviet books supply them. Alternatively, he can transliterate the Cyrillic letters according to the system in use in his library and leave the matter there for fear of making bad worse. As long as the writers are not well known, he may feel only faintly uneasy; but the appearance of Chzhou Ėn‐lai (or Čžou En‐laj) upsets his equanimity. Obviously this must be entered under Chou; and we must have Mao Tse‐tung and not Mao Tsze‐dun, Ch'en Po‐ta and not Chėn' Bo‐da. But what happens when we have another . . . We can hardly write Ch'en unless we know how to represent the remaining elements in the name; yet we are loth to write Ch'en in one name and Chėn' in another.

The rise of artificial intelligence (AI) applications has driven enterprises to provide many intelligent services to consumers. For instance, customers can use chatbots to make relevant inquiries and seek solutions to their problems. Despite the development of customer service chatbots years ago, they require significant improvements for market recognition. Many customers have reported negative experiences with customer service chatbots, contributing to resistance toward their use. Therefore, this study adopts the innovation resistance theory (IRT) perspective to understand customers’ resistance to using chatbots. It aims to integrate customers’ negative emotions into a predictive behavior model and examine users’ functional and psychological barriers.

In this study, we collected data from 419 valid individuals and used structural equation modeling to analyze the relationships between resistance factors and negative emotions.

The results confirmed that barrier factors affect negative emotions and amplify chatbot resistance influence. We discovered that value and risk barriers directly influence consumer use. Moreover, both functional and psychological barriers positively impact negative emotions.

This study adopts the innovation resistance theory perspective to understand customer resistance to using chatbots, integrates customer negative emotions to construct a predictive behavior model and explores users’ functional and psychological barriers. It can help in developing online customer service chatbots for e-commerce.

Digital games have not only surged in popularity but also have sparked a renaissance, catapulting virtual adventures into the realm of cultural phenomena. It has spilled over as countless individuals find themselves drawn to the tangible pieces of the worlds they love, mulling over the procurement of game merchandise and memorabilia. These items are more than mere collectibles; they are emblems of unwavering enthusiasm for game culture. This study employs the consumer culture theory (CCT) to investigate game players’ propensity to purchase merchandise products.

In this study, social media and online forums were used to collect samples from Taiwan, obtaining 311 valid responses. Partial least squares (PLS) was employed to analyze the research model.

The findings underscore the significance of loyalty as a critical factor affecting individuals’ ethnocentrism and cosmopolitanism attitudes, which also significantly impact the likelihood of players purchasing game merchandise products.

Based on CCT, this study explores game players’ willingness to purchase game merchandise. In Asia, transforming digital game content into peripheral products is a marketing strategy. This study holds practical and academic implications, contributing to the advancement of research in this field.

Diversity and uncertainty summarise Taiwan’s Generation Z. Diversity because the background of fewer than 3.4 million Taiwanese, which is less than 20% of the overall population, cannot be included in a ‘one-fits-all’ category. As a sovereign nation, Taiwan has developed through various cultural, economic, and political stages. Democratic freedom has given the Taiwanese the right and terrain to de-Sinicise their homeland and politically construct ‘Taiwanese Consciousness’. These points are essential, because this is the societal fabric given to Generation Zers. Apart from national identity, this chapter illustrates the uncertainties that Generation Zers are facing in relation to education, job opportunities, and living standards. It is suggested that conditions are easier for those that have received ‘superior’ education and have enjoyed family-economic support. Their consumer behaviour, Generation Z in the workplace, as well as voters are also carefully analysed in this chapter.

People have utilized artificial intelligence (AI) reading assistants for study. This tool assists readers in summarizing the content of a book. However, the crucial factor in summarizing book content lies in the quality of the content by generative AI, as this quality affects readers’ willingness to use AI tools as reading aids. This study expands the acceptance architecture for artificially intelligent device use (AIDUA), integrates the concept of generative AI quality and proposes a new model for users’ continuous use of generative AI reading assistants.

This study employed a quantitative approach. A total of 362 respondents were from Taiwan. This study used partial least squares structural equation modeling (PLS-SEM) to validate, aiming to identify factors influencing users’ continued adoption of AI reading assistants.

The results show that the quality of AI-generated content and readability significantly influence users’ performance expectations and effort expectancy. However, credibility and representationalness have different effects, impacting effort expectancy but not performance expectancy. These findings underscore the critical role of generative AI quality in shaping user expectations and their continued use of AI reading assistants.

This research is of great significance in examining the quality of generative AI. It establishes a theoretical framework applicable to future research, enabling industry players to understand better the pivotal role of generative AI quality in the operation of information services. And focus on using AI reading assistants, describing the specific use of AI for specific tasks.