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The authors expand the connotation of the research on the accounting information quality characteristics, provide empirical evidence for the factors of consistency and also help to deepen further their understanding of the economic consequences of ownership concentration and other ownership structures.

Using financial data of Chinese listed companies as samples, coupled with a method to calculate the consistency of the sample enterprises on the corporate level in the 2007–2019 period, the authors studied its impact of ownership concentration on consistency.

The study finds that after controlling other factors, ownership concentration could significantly reduce accounting information consistency. Further research finds that when the executives' shareholding is higher, the reduction effect of ownership concentration on consistency is weaker. After the robustness test, the conclusion remains basically unchanged.

First, maybe there is a limitation of De Franco et al. (2011) method the authors use in China. As some scholars pointed out, the systematic component of returns variation is large in emerging markets (Morck et al., 2000), so it is hard to determine to what extent market stock returns will capture the net effect of earnings. As is mentioned above, there are multiple methods for measuring comparability and consistency, but it is not easy to judge which way is the best. Maybe the authors will have a perfect process in the future. Second, in addition to the factors mentioned in this study's hypotheses, there should be other factors (these include internal factors and external factors) that play moderating role in the impact of ownership concentration on accounting information consistency. The authors have not thoroughly studied the effect of those factors. These limitations all need to be further explored in the future.

The study finds that after controlling other factors, ownership concentration could significantly reduce accounting information consistency, but the reduction will be affected by some other factors related to corporate governance. The new insights from these advances are that the conclusions provide a technical path for management of companies to improve corporate governance efficiency and the quality of accounting information, and also provide more reference and empirical evidence for information users to identify the company's accounting information quality, which contributes to creating a prerequisite for the usefulness of accounting information.

We study institutional investors’ influence on the use of related party transactions (RPTs) in China. We test the significance of potential factors in the cross-sectional regression analysis of the amount of RPTs reported by Chinese listed companies. We also analyze intraday trading activities and stock prices in days around public announcements of RPTs. Our findings suggest that institutional investors do not have a significant influence on Chinese firms’ usage of RPTs but they react to RPT announcements through buying or selling shares.

This study aims to examine the components and evolution of the Chinese wine festival market using the Dalian International Wine and Dine Festival (DIWDF) as a case study.

Adopting a longitudinal approach, survey data were collected from attendees of the first, fifth and seventh DIWDF in 2012, 2016 and 2018, respectively. Cluster analysis segmented attendees by wine and festival experience and consumption features. Comparative analysis was conducted to examine segment differences by demography, festival motivation, satisfaction and intention. Changes in segments over time were examined across the three times.

The following three clusters were identified: “wine-novice fest-newbies,” “occasional drinker fest-goers” and “wine-lover fest-enthusiasts.” Over the study period, the proportion of “wine-lover fest-enthusiasts” increased significantly while the percentages of the other two segments decreased, demonstrating the evolution of the Chinese wine festival market and their consumer impacts.

This study offers straightforward indicators of market value via consumption features for both wine businesses and festival organizers. The characteristics of the segments and their inter-linkage have important implications for developing product mix, targeting strategies, festival service design and market development.

This is the first known empirical research globally to investigate relationships among market segments both horizontally (differences between segments) and vertically (development over time) and to incorporate both wine- and festival-related consumption features.

Explores the possibility of considering the creation and maintenance of reference librarians’ personal Web sites as part of their professional duties. After reviewing a sample of personal Web sites and the results of an e‐mail survey targeting such sites and their creators, a case study is presented of three home pages detailing interactions with site visitors, especially interactions with research scholars, as well as examining non‐traditional reference service and scholarly publishing. Concludes the article by offering suggestions regarding the integration of personal Web sites into professional reference librarians’ duties and faculty activities.

The objective of this research work is to study the artificial intelligence (AI)-based product benefits and problems of the agritech industry. The research variables were developed from the existing review of literature connecting to AI-based benefits and problems, and 90 samples of primary data from agritech industry managers were gathered using a survey of a well-structured research questionnaire. The statistical package of IBM-SPSS 21 was utilized to analyze the data using the statistical techniques of descriptive and inferential statistical analysis. Results show that better information for faster decision-making has been ranked as the topmost AI benefit. This implies that the executives of agritech units have a concern about the quality of decisions they make and resistance to change from employees and internal culture has been ranked as the topmost AI problem.

The purpose of this study is to reveal the research trends in guest experiences of service robots in the hospitality industry.

In this study, a review was carried out on the Web of Science (WoS) database with the assistance of bibliometric analysis techniques. Cluster analysis was also employed for this to group important data to determine the relationships and to visualize the areas in which the studies are concentrated. The thematic content analysis method was used to reveal on which customer experiences and on which methods the focuses were.

On the subject of experiences of service robots, the greatest number of publications was in 2021. In terms of country, China has come to the fore in the distribution of publications. As a result of thematic content analysis, it was determined that the leading factor was the main dimension of emotional experience. In terms of sub-dimensions, social interactions attracted more attention. Most of the studies discussed were not based on any theory. Apart from these, the Technology Acceptance Model (TAM), the Service Quality Model (SERVQUAL) and Perceived Value Theory (PVT) were featured more prominently among other studies.

In this study, only the WoS database was reviewed. In future studies, it would be possible to make contextual comparisons by scanning other databases. In addition to quantitative research designs, social dimensions may be examined in depth following qualitative research methods. Thus, various comparisons can be made on the subject with mixed-method research designs. Experimental research designs can also be applied to where customers have experienced human-robot interactions (HRIs).

In the hospitality industry, it is critical to uncover every dimension of guests' robot acceptance. This study, which presents the current situation on this basis, guides future projections for the development of guest experiences regarding service robots in the hospitality industry.