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This study aims to systematically review the literature in the fields of liquidity, informational efficiency and default risk. The authors outline the key research streams and provide possible pathways for future research.

The study adopts bibliographic mapping to identify the most influential studies in the research fields of liquidity, informational efficiency and default risk from 1984 to 2021.

The study identifies four key research themes that include efficiency and transparency of markets; corporate yield spreads; market interactions: bonds, stocks and cryptocurrencies; and corporate governance. By assessing publications published from 2018 to 2021, the authors also document seven key emerging research trends: cross markets, managerial learning and corporate governance, state ownership and government subsidies, international evidence, machine learning (FinTech approaches), environmental themes and financial crisis. Drawing on these emerging trends, the authors highlight the opportunities for future research.

Keyword searches have limitations since some studies might be overlooked if they do not match the specified search criteria, even though their relevance to the topic is under investigation. Adopt the R project to expand this review by incorporating more literature from other databases, such as the Scopus database could be a possible solution.

The four key research streams contribute to a comprehensive understanding of liquidity, informational efficiency and default risk. The emerging trends integrate existing knowledge and leave the chance for innovative research to expand the research frontier.

This study fulfills the systematic literature review streams in the fields of liquidity, informational efficiency and default risk, and provides fruitful opportunities for future research.

Based on the background of the restricted stock has gradually replaced stock option and has become the mainstream equity incentive model in China, this paper aims to investigate the which factors affect the choice of equity incentive model, and the impacts of equity incentive model.

The theoretical analysis is based on the game theory between shareholders and top executives. The empirical analysis is based on the detailed data of equity incentives in China’s listed companies from 2006 to 2017; the logit method and least square method are implemented to estimate the regression coefficients and Black–Scholes options pricing model to estimate the value of restricted stock/option granted to the CEO.

This paper documents that enterprises with serious agency problems, high investment risks, high stock price synchronicity and great executive power are significantly and positively related to restricted stock. The main empirical findings still hold after several robust tests. In addition, restricted stock can significantly improve corporate performance when the performance evaluation index is strict and the validity period is long, while for the sample group with loose performance index and short validity period, restricted stock significantly reduces corporate performance.

This paper analyzes the “black box” of equity incentive model selection from the stakeholders’ game perspective by constructing a game theory model to investigate the reasons for the choice of equity incentive model in various situations, which enriches the research in this field. Moreover, this paper finds that restricted stock has both incentive and welfare characteristics, and the rationality of performance appraisal goals is the key factor leading to the difference in incentive effects. Overall, the research indicates that only well-designed equity incentive plans can improve corporate performance, which contributes to regulators and practitioners to form a rational understanding of restricted stock model and provides a reference for their decision-making.

The world was facing significant aging challenges. Aging in place has long been advocated which reflected the preference of older people to stay in their own home as long as possible. A huge amount of older people resided in private buildings that consist of both indoor settings (i.e. individual unit flats) and outdoor settings (i.e. common areas like lobby and corridor). The effect of indoor environment on the quality of life of the older people has been investigated, while this paper aims to examine the different effect of common areas environment for the older people.

A questionnaire survey was administered among over 300 older people living in private buildings. Multiple statistical techniques, including reliability test, correlation coefficient and multiple regression models, were used to analyze the collected data to determine the interactions between facilities management of the common areas in private buildings and the environment domain of quality of life for older people.

The final results were concluded based on the congruence of all the statistical results, which covered the identification of facilities management factors in common areas of private buildings that could influence the environment domain of quality of life for older people, including overall environment, health-care accessibility, information acquisition and transportation aspects; the overall environment was positively predicted by space and security in common areas of private building; health-care accessibility was positively affected by space, barrier-free facilities and recreational facilities; the information acquisition was only positively predicted by security; transportation was positively predicted by distance and recreational facilities; and building services of common areas in private buildings had no effect on the environment domain of quality of life for older people.

Practical recommendations have been made to improve the facilities management of common areas in private buildings to ensure the quality of life for older people, including provision of walking assistance, motion or infrared controlled systems and so on. This study contributed to enhance current understanding of the interactions between the older people and their living environment.

This study aims to develop a Web-based application system called Infomediary of Taiwanese Indigenous Peoples (ITIP) that can help individuals comprehend the society and culture of indigenous people. The ITIP is based on the use of Semantic Web technologies to integrate a number of data sources, particularly including the bibliographic records of a museum. Moreover, an ontology model was developed to help users search cultural collections by topic concepts.

Two issues were identified that needed to be addressed: the integration of heterogeneous data sources and semantic-based information retrieval. Two corresponding methods were proposed: SPARQL federated queries were designed for data integration across the Web and ontology-driven queries were designed to semantically search by knowledge inference. Furthermore, to help users perform searches easily, three searching interfaces, namely, ethnicity, region and topic, were developed to take full advantage of the content available on the Web.

Most open government data provides structured but non-resource description framework data, Semantic Web consumers, therefore, require additional data conversion before the data can be used. On the other hand, although the library, archive and museum (LAM) community has produced some emerging linked data, very few data sets are released to the general public as open data. The Semantic Web’s vision of “web of data” remains challenging.

This study developed data integration from various institutions, including those of the LAM community. The development was conducted based on the mode of non-institution members (i.e. institutional outsiders). The challenges encountered included uncertain data quality and the absence of institutional participation.

This paper aims to present performance comparison of fiber sheet-strengthened reinforced concrete (RC) beams bonded with geopolymer and epoxy resin under ambient and fire conditions.

This study presents experimental results of bending tests at ambient temperature and fire resistance tests on two control beams and eight fiber sheet-strengthened RC beams. The test variables include fiber sheet type (carbon fiber [CF] and basalt fiber [BF] sheet), number of layers of fiber sheet (one and two layers) and adhesive agent type (geopolymers and epoxy resin). Data generated from these tests were used to evaluate and compare the strengthening effectiveness of CF-reinforced polymer (CFRP) and CF-reinforced geopolymer (CFRG) at ambient temperature and under fire exposure conditions.

Test results clearly show that the CFRG system can provide good strengthening effectiveness on RC beams at ambient temperature, as the CFRP system, owing to excellent bond properties of geopolymers. Although geopolymers possess better bonding properties at high temperature than organic matrix, the strengthened beams bonded with geopolymer do not exhibit better fire resistance than that those bonded with epoxy resin, owing to early falling-off of fire insulation. Thus, in CFRG-strengthened beams, relevant measures are to be taken to minimize falling-off of fire insulation to achieve good fire resistance.

The presented results are from unique fire tests and provide valuable insight (and information) on the performance of fiber sheet-strengthened RC beams bonded with geopolymer and epoxy resin under ambient and fire conditions.

This review aims to give a critical view of the wheel/rail high frequency vibration-induced vibration fatigue in railway bogie.

Vibration fatigue of railway bogie arising from the wheel/rail high frequency vibration has become the main concern of railway operators. Previous reviews usually focused on the formation mechanism of wheel/rail high frequency vibration. This paper thus gives a critical review of the vibration fatigue of railway bogie owing to the short-pitch irregularities-induced high frequency vibration, including a brief introduction of short-pitch irregularities, associated high frequency vibration in railway bogie, typical vibration fatigue failure cases of railway bogie and methodologies used for the assessment of vibration fatigue and research gaps.

The results showed that the resulting excitation frequencies of short-pitch irregularity vary substantially due to different track types and formation mechanisms. The axle box-mounted components are much more vulnerable to vibration fatigue compared with other components. The wheel polygonal wear and rail corrugation-induced high frequency vibration is the main driving force of fatigue failure, and the fatigue crack usually initiates from the defect of the weld seam. Vibration spectrum for attachments of railway bogie defined in the standard underestimates the vibration level arising from the short-pitch irregularities. The current investigations on vibration fatigue mainly focus on the methods to improve the accuracy of fatigue damage assessment, and a systematical design method for vibration fatigue remains a huge gap to improve the survival probability when the rail vehicle is subjected to vibration fatigue.

The research can facilitate the development of a new methodology to improve the fatigue life of railway vehicles when subjected to wheel/rail high frequency vibration.

This paper is a study of the current trends and conditions of electronic resources for Chinese studies, based on a recent survey on the Internet of 29 Chinese libraries in North America and eight Chinese libraries in China, Taiwan and Hong Kong. The survey discussed current electronic resources for Chinese studies, with a union list of major Chinese language databases currently used in libraries in Asia and the US. Current views on the use and development of electronic resources for Chinese studies were summarised.

This study aims to investigate whether and how artificial intelligence (AI) awareness affects work withdrawal.

This survey garners participation from a total of 305 hotel employees in China. The proposed hypotheses are examined using Hayes’s PROCESS macro.

The results indicate that AI awareness could positively affect work withdrawal. Negative work-related rumination and emotional exhaustion respectively mediate this relationship. Furthermore, negative work-related rumination and emotional exhaustion act as chain mediators between AI awareness and work withdrawal.

Given the growing adoption of AI technology in the hospitality industry, it is imperative that managers intensify their scrutiny of the psychological changes experienced by frontline service employees and allocate more resources to mitigating the impact of AI on their work withdrawal.

This study contributes to the burgeoning literature on AI by elucidating the chain mediating roles of negative work-related rumination and emotional exhaustion. It also makes a significant forward in examining mediating mechanisms, notably the chain-mediated mechanism, through which AI awareness impacts employee outcomes.

To review one of the earliest Chinese debates on socialism, highlighting the consequent changes in outlook by Sun Yat‐sen and Liang Qichao; and to demonstrate the influence of Western economic writers especially Richard T. Ely, Henry George, and German Bismarckian socialists.

Textual analysis of original Chinese‐language materials with extensive direct quotations (in translation).

Sun initially gave primary attention to land policy, using a (somewhat inconsistent) combination of George's “single tax” and a very different idea of land nationalization. As a result of the debate, however, Sun gave more attention to economic growth, capital formation, and import restriction. Liang initially favored Bismarckian socialism, but moved during the debate to increasing skepticism about a major economic role for government, recognizing the need for entrepreneurship and capital formation.

Existing literature fails to perceive the radical shifts in viewpoint which developed for both Sun and Liang. This is particularly important for Sun, whose later ideas had a major influence on Chinese economic policy after 1927.

This study aims to explore how online reviews and users’ social network centrality interact to influence idea popularity in open innovation communities (OICs).

This study used Python to obtain data from the LEGO Innovation Community. In total, 285,849 reviews across 4,475 user designs between March 2019 and March 2021 were extracted to test this study’s hypotheses.

The ordinary least square regression analysis results show that review volume, review valence, review variance and review length all positively influence idea popularity. In addition, users’ in-degree centrality positively interacts with review valence, review variance and review length to influence idea popularity, while their out-degree centrality negatively interacts with such effects.

Drawing on the interactive marketing perspective, this study employs a large sample from the LEGO community and examines user design and idea popularity from a community member’s point of view. Moreover, this study is the first to confirm the role of online reviews and user network centrality in influencing idea popularity in OICs from a social network perspective. Furthermore, by integrating social network analysis and persuasion theories, this study confirms the interaction effects of review characteristics and users’ social network centrality on idea popularity.

This study’s results highlight that users should actively interact and share with reviewers their professional product design knowledge and/or the journey of their design to improve the volume of reviews on their user designs. Moreover, users could also draw more attention from other users by actively responding to heterogeneous reviews. In addition, users should be cautious with the number of people they follow and ensure that they improve their in-degree rather than out-degree centrality in their social networks.

This study integrates social network analysis and persuasion theories to explore the effects of online reviews and users’ centrality on idea popularity in OICs, a vital research issue that has been overlooked.