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This study aims to explore the factors influencing intentions to use library social media marketing accounts from users’ perspectives to help libraries use social media to provide targeted information services to users to meet their information needs.

This study is based on the technology acceptance model and theory of planned behaviour and uses WeChat as an example to build the model of factors influencing intentions to use library social media marketing accounts. It takes college students as the research object, performing empirical research through questionnaire surveys and structural equation modeling.

The results show that attitude, subjective norm and perceived behaviour control have a significant positive impact on library social media marketing – attitude exerts the most significant effect while the impact of perceived usefulness is nonsignificant. Notably, attitude completely mediates perceived usefulness and use intention, while perceived usefulness partially mediates perceived ease of use and attitude. However, birthplace plays a negative moderating role between attitudes and use intention.

This study integrates the theory of planned behaviour and technology acceptance model, discusses the factors influencing intentions to use library social media marketing accounts from the users’ perspectives and proposes strategies and methods for the optimization of library social media marketing. The study helps enhance the effects of library social media marketing by improving the comprehension of current circumstances and influencing factors relevant to this issue.

This study aims to explore the switching behaviour of short video (SV) users and its influencing factors and promote the sustainable development of SV platforms (SVPs) and the marketing strategy formulation of library and information institutions.

Using the qualitative research method of semi-structured interviews and grounded theory, this study conducts an exploratory study on the user switching phenomenon of an SVP. The authors encoded the interview text at three levels, extracted the factors influencing user switching behaviour on an SVP and constructed the corresponding theoretical model.

This study identifies the following major internal and external factors influencing user switching behaviour of SVP: platform quality, social environment, individual characteristics and use needs. It also elaborates on the impact of these internal and external factors on user switching behaviour.

This study explored the factors influencing SV user switching behaviour and constructed corresponding theoretical models, enriching research in information technology and social media switching. In practice, this study helped the existing SVPs and library and information institutions establish a corresponding early warning mechanism to prevent the loss of existing users and attract new users.

In Chinese libraries, short video platforms have emerged as a channel for new media marketing. Thus, this study aims to explore libraries’ communication influence on China’s largest short video platform, that is, Douyin (the Chinese version of Tiktok), and to provide corresponding suggestions for improvement of libraries’ communication influence in the short video platform.

Based on the Douyin Communication Index (DCI), this paper collects the top 200 library Douyin accounts of cultural reading in China and uses statistical and content analyses to evaluate the communication influence of library Douyin accounts.

Study findings show that libraries of various types and in various regions currently have an unbalanced development trend, with public libraries accounting for the vast majority and nearly half of the libraries located in China’s eastern region. Analysis of variance shows differences in the influence of Douyin communication among library types. Correlation analysis shows that indicators with a high correlation with DCI include the number of new works, likes, shares, and comments. In marketing content, the library’s high-impact short videos have characteristics of value, interest, and emotional touch.

This study uses a hybrid research method to explore Chinese libraries’ communication influence using the Douyin short video platform. Compared to other parts of the world, short videos in Chinese libraries have unique characteristics. They are rooted in China’s history and reality, showcasing the unique charm of Chinese library culture and serving as a unique reference for library marketing activities around the world.

China is currently constructing the public cultural service system on a national scale. Library strategic environment problems, such as the status of library in the public cultural service system, the relationship with relevant public cultural service institutions/organizations, and the factors influencing library development, etc., which increasingly raise people’s concern. The purpose of this paper is to solve above mentioned problems.

This paper used online and offline questionnaires to solicit feedback from public cultural service institutions/organizations. Based on the data from questionnaires, this paper analyzed library strategic environment in the public cultural service system in mainland China by adopting correlation analysis, mean analysis and factor analysis, etc.

Stakeholders (relevant public cultural service institutions) highly valued the status of library and no respondents believed that library did not belong to the public cultural service system. Compared with competing relationship between enterprises, library and relevant cultural services institutions were partners rather than competitors. Three main factors that influenced library strategic planning were identified: internal conditions factors, external environment factors and stakeholder related factors.

There are some limitations of this thesis. For instance, the sample size is not large enough and respondents are confined to cities, which may reduce the generalizability of the findings.

Through this analysis, library can learn more of national cultural environment in China, and take necessary measures to cope with these changes.

A multi‐variable finite element algorithm based on the generalized Galerkin method is presented. This algorithm takes advantages from the hybrid finite element method and the quasi‐conforming element method. Therefore, it has more flexibility and makes the hybrid and quasi‐conforming concepts easily applied to various physical problems. The formulation of a hybrid quadrilateral finite element with a unified singularity for both thermal and stress analyses has been derived using this algorithm. Some numerical examples are included to illustrate advantages of the hybrid algorithm in both stress and thermal analyses. It is also convenient to employ the algorithm in finite displacement problems.

Few studies have focused on emerging markets owing to difficulties in identifying the real effect of disclosures on these economies. To fill this gap, the purpose of this paper is to first: investigate the main drivers for risk disclosure quality for Chinese financial firms, second: further study the impact of such disclosure on market liquidity.

The sample comprises all financial firms listed in the Shanghai A-shares market for the period 2013–2015. By relying on manual content analysis of annual reports, the risk disclosure quality is measured through a multidimensional approach which encompasses three factors: quantity of disclosure, coverage of disclosure and the semantic properties of depth and outlook. The findings of this paper are based on ordinary least squares and fixed-effects estimations.

The findings suggest that firm characteristics (especially size) influence risk disclosure practices of Chinese financial companies. Furthermore, the authors found that risk disclosure quality has an impact on market liquidity, and when the authors analysed each year the authors noticed that the results were driven by the year 2013; moreover, the authors noticed no or little significance from the period of the emerging financial crisis.

The sample of this paper is limited to financial firms in China. The usage of manual content analysis limits the authors’ ability to investigate risk reporting drivers and its impact on market liquidity on a large scale.

The importance of this paper stems from documenting several reporting incentives concerning not only firms’ quantity, but also firms’ quality of risk reporting. Collectively, the findings support activism for reforms and the enhancement of regulations in China in order to make the market more efficient.

This paper provides new evidence for financial companies in China on the principal drivers for risk disclosure quality and highlights how the quality of such disclosure impacts market liquidity. Furthermore, this paper confirms previous findings on the Chinese market (Ball et al., 2000; Zou and Adams, 2008) in which, given a decreasing but still strong state presence, there is higher stock volatility and weak corporate governance.

As of December 2021, WeChat had more than 1.2 billion active users worldwide, making it the most active online social media in mainland China. The term social commerce is used to describe new online sales through a mix of social networks and/or peer-to-peer communication or marketing strategies in terms of allowing consumers to satisfy their shopping behaviour through online social media. Thus, given the numerous active users, the development of online social media and social commerce on WeChat is a critical issue of internet research.

This empirical study takes WeChat as the online social media research object. Questionnaires for WeChat users in China were designed and distributed. All items are designed as nominal and ordinal scales (not Likert scale). The obtained data was put into a relational database (N = 2,342), and different meaningful patterns and rules were examined through data mining analytics, including clustering analysis and association rules, to explore the role of WeChat in the development of online social media and social commerce.

Practical implications are presented according to the research findings of meaningful patterns and rules. In addition, alternatives to WeChat in terms of further development are also proposed according to the investigation findings of WeChat users’ behaviour and preferences in China.

This study concludes that online social media, such as WeChat, will be able to transcend the current development pattern of most online social media and make good use of investigating users’ behaviour and preferences, not only to stimulate the interaction of users in the social network, but also to create social commerce value in social sciences.

The water evaporation rate (WER) is not only crucial for fabric drying, but also an important parameter affecting cooling from a body wearing sweat wetted clothing. The purpose of this paper is to predict the WERs of wet textile materials in a pre-defined environment.

The maximum water evaporation rate (WER_max) from a saturated surface in a pre-defined environment was first predicted based on the Lewis relationship between the evaporative and the convective heat transfer in this paper. The prediction results were validated by the comparisons with experimental measurements in various environments obtained in this paper and reported in the literature.

Experiment results show that the ratios of WERs to WER_max are lower than 100 percent but higher than 50 percent, which confirmed that the prediction of WER_max is reliable. The temperature decrease of the wet material surface due to evaporation was considered to account for the difference between measured WERs and the WERmax, and the WER variation among materials. The lower ratios of WERs to WER_max in the higher wind condition were speculated to be due to the greater temperature decrease caused by the increased evaporation.

It provides a reliable way to obtain both WER_max and WER (WER_max multiplied by a proper ratio), which can be useful in clothing physiological modeling to predict clothing comfort.

This study contributes to the understanding of the evaporation process of textile materials.

A novel asynchronous network-based model is proposed in this paper for the sentiment analysis of online public opinions. This new model provides a new approach to analyze the evolution characteristics of online public opinion sentiments in complex environment.

Firstly, a new sentiment analysis model is proposed based on the asynchronous network theory. Then the graphical evaluation and review technique is employed and extended to design the model-based sentiment analysis algorithms. Finally, simulations and real-world case studies are given to show the effectiveness of the proposed model.

The dynamics of online public opinion sentiments are determined by both personal preferences to certain topics and the complex interactive influences of environmental factors. The application of appropriate quantitative models can improve the prediction of public opinion sentiment.

The proposed model-based algorithms provide simple but effective ways to explore the complex dynamics of online public opinions. Case studies highlight the role of government agencies in shaping sentiments of public opinions on social topics.

This paper proposes a new asynchronous network model for the dynamic sentiment analysis of online public opinions. It extends the previous static models and provides a new way to extract opinion evolution patterns in complex environment. Applications of the proposed model provide some new insights into the online public opinion management.