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The purpose of this paper is to explore the potential of enriching the library subject headings with folksonomy for enhancing the visibility and usability of the library subject headings.

The WorldCat-million data set and SocialBM0311 are preprocessing and over 210,000 library catalog records and 124,482 non-repeating tags were adopted to construct the matrix to observe the semantic relation between library subject headings and folksonomy. The proposed system is compared with the state-of-the-art methods and the parameters are fixed to obtain effective performance.

The results demonstrate that by integrating different semantic relations from library subject headings and folksonomy, the system’s performance can be improved compared to the benchmark methods. The evaluation results also show that the folksonomy can enrich library subject headings through the semantic relationship.

The proposed method simultaneous weighted matrix factorization can integrate the semantic relation from the library subject headings and folksonomy into one semantic space. The observation of the semantic relation between library subject headings and social tags from folksonomy can help enriching the library subject headings and improving the visibility of the library subject headings.

The online users’ characteristic information can provide decision support for policy-designing and construction of public strategies. Hence, this paper aims to conduct online public opinion mining on the recovery policy stimulating the economies stroked by COVID-19 epidemic. Also, sentimental analysis is performed to uncover the posters’ emotion towards the target policy.

This paper adopts bidirectional encoder representations from transformers (BERT) as classifier in classification tasks, including misinformation detection, subject analysis and sentimental analysis. Meanwhile, latent Dirichlet allocation method and sentiment formulations are implemented in topic modelling and sentiment analysis.

The experimental results indicate that public opinion is mainly non-negative to the target policy. The positive emotions mainly focus on the benefits that the recovery policy might bring to stimulate economy. On the other hand, some negative opinions concerned about the shortcomings and inconvenience of the target policy.

The authors figured out the key factors focused by the public opinion on the target recovery policy. Also, the authors indicated pros and cons of the recovery policy by analysing the emotion and the corresponding topics of the public opinion on social media. The findings of the paper can be generalized in other countries theoretically to help them design recovery policy against COVID-19.

The purpose of this paper is to construct the linkage between libraries and up-to-date news. This study developed a system to recommend libraries’ resources to those daily news readers who are interested in the topics of the target news. The analysis of experiments results served as the reference for the development and improvement of linking libraries’ resources with other web resources.

Up-to-date news were gathered through the news feeds to make the integration with the libraries’ records. In task 1, the libraries’ records were linked and recommended to the target libraries’ records which are of the same topics. In task 2, the system aimed to find the relevant libraries’ records for target news. Three recommendation methods were compared in both tasks to find the most effective approach to the system.

Experiment results showed that: at first, in task 1, the system can assign the libraries’ records of the related topics effectively; second, in task 2, the recommending system can obtain a satisfied recall hit rate through human evaluation. Therefore, regarding the popularity of the daily news online, the linkage and recommendation with the libraries’ resources can increase the visibility of the libraries’ resources and eventually promote the information consuming in libraries.

The authors have confirmed, using three matrix factorization methods, that weighted matrix factorization used in the libraries’ records recommendation system, could achieve better performance than the other two. Based on the research, the libraries could incorporate the online news and libraries’ resources in practice.

To increase the visibility and promote information consuming of libraries, this study proposed a novel method to construct the linkage between library and up-to-date news. The results of data analysis indicate that recommendation of libraries resources through the daily news can achieve effective performance. Thus, it can be inferred that the research results of this study are representative and have practical values in real world practice.

Drawn from the social playfulness literature and the elaboration likelihood model, the purpose of this paper is to propose and test a research model to examine users’ continuous participation in SNS game applications.

A field survey with 133 subjects was conducted to test the research model.

Two identified design features, symbolic physicality and inherent sociability, are found to influence users’ perceived curiosity and perceived enjoyment toward playing SNS game applications. Perceived enjoyment is significantly associated with perceived curiosity and predicts users’ continuous participation of SNS game applications. The authors also observed a gender difference of social playfulness design on perceived curiosity.

Use intention was used as a proxy for actual use behavior, since objective data on continuance behavior was not available. Additionally, the contributions of this study may be constrained by one single sample.

The findings of the study suggest practical guidelines for designing game applications in SNS through socialization design and symbolic physicality. Further, based on the findings of gender differences, a personalization game design strategy is provided.

The study contributes to the post-adoption IS literature and sheds light on the interesting area of social media participation. Additionally, this study enriches the online gaming research by demonstrating gender differences.

Information asymmetry is an inevitable issue in e-commerce and largely hampers the development of online shopping. The purpose of this paper is to propose a model to investigate the emotional content of online customer reviews, which are considered an efficient way to reduce information asymmetry, as a potential signal of product quality. The moderating effects of perceived empathy and cognitive effort are also explored on the basis of signaling theory.

A laboratory experiment with 120 subjects was used to empirically test the proposed research hypotheses. The subjects were randomly assigned to two treatment groups, with 60 subjects in each group. ANOVA, linear regression and binary logistic regression were used.

The emotional content of online customer reviews positively influences perceived product quality, which subsequently and positively affects purchase decisions. The emotional content of online customer reviews greatly influences perceived product quality when perceived empathy or cognitive effort is high.

This study is the first to extend extrinsic cues to emotional content on the basis of signaling theory and reveals the important role of emotional content of reviews. Moreover, the mediating effect of perceived product quality and the moderating effect of perceived empathy and cognitive effort illustrate the mechanism of the influence of emotional content on purchase decision. Findings demonstrate the positive signal of emotional content and provide important practical implications for sellers and customers.

Information sharing helps improve the efficiency of the supply chain. However, there are some problems in the multi-stage structure supply chain, such as untimely information feedback and distortion. Despite recent progress in ensuring improved collaboration in the past decade or so, the inefficiency status continues to persist. It is also difficult to add value to the supply chain. The information sharing framework and decentralized model designed in this paper are to deal with existing problems.

This paper is based on the theoretical research of supply chain information asymmetry and synergetics. We attempt to introduce blockchain technology into supply chain operation management, reconstruct information sharing architecture and provide a new decentralized mode to promote the collaborative operation of all nodes. The information sharing and decentralization operational model are built, which has changed the hierarchical relationship between upstream and downstream enterprises, regarding customers as the center of the whole system and effectively reducing the bullwhip effect. Finally, we selected the home supply chain as an example design and performed system dynamics simulation on the blockchain-based operation process.

The model of setting up the scene application mode based on blockchain is helpful to realize the goal of supply chain management to reduce cost, improve quality and enhance the overall efficiency of the system.

Based on the blockchain technology, this paper constructed a new supply chain operation mode and used the synergetic theory and the concept of the product–service system to explain the process of value increment in detail.

This study aims to solve the problem of repair path planning between multiple small-size defects in the field of additive manufacturing (AM) repair by using Python-based ant colony algorithm (ACO). The optimal parameter combination scheme is obtained by discussing the influencing factors of parameters in the ACO.

The effects of the information heuristic factor α, the expected heuristic factor ß and the pheromone volatile factor ρ on the simulation results were investigated by designing a three-factor and three-level orthogonal experiment. The fast convergence of ACO in finding the optimal solution of multiple small-size defect repair path problem is proved by comparing the simulation results with those of genetic algorithm (GA) on the same data set.

The ACO can effectively solve the repair path planning problem between multiple small-size defects by optimizing the parameters. In the case of 50 defect locations, the simulation results of the ACO with optimized parameters are 159.8 iterations and 3,688 average path lengths, while the GA has 4,027.2 average path lengths under the same data set and the same number of iterations, and by comparison, it is proved that the ACO can find the optimal solution quickly in the small-size defects repair path planning problem, which greatly improves the efficiency of defect repair.

The parameter-optimized ACO can be quickly applied to the planning problem of repair paths between multiple small-size defects in the field of AM repair, which can better improve the defect repair efficiency and reduce the waste of resources.

University students’ lecture theatre concentration levels are significantly related to indoor environmental quality (IEQ). The purpose of this study is to investigate the relationship between indoor environmental quality (IEQ) and the self-reported concentration levels of university students during the winter at University College London (UCL), UK.

A questionnaire survey and physical measurements were used to assess the IEQ factors affecting students’ concentration levels.

The lecture theatre design factor was the most significant factor influencing students’ concentration levels, and the facility environment was more important than the thermal environment, indoor air quality, and acoustic environment in influencing students’ concentration levels in this winter investigation at UCL, UK. Additionally, students prefer a colder thermal environment. The concentration level of students was positively correlated with the indoor air quality and negatively correlated with the acoustic environment.

Based on model application, this research could provide lecture theatre IEQ design. This research additionally provides an acceptable indoor thermal environment temperature range based on a large sample, which can be used to calibrate a student performance benchmark.

As this study evaluates the IEQ factors that influence the concentration levels of university students, interior designers and engineers should consider the rational layout of these factors. Therefore, this study may provide a reference for the interior environmental design of lecture theatres in educational buildings.

Government social media profiles (GSPs) are increasingly used by government agencies during social crises, and the success of GSPs is highly dependent on netizens’ participation behavior (NPB). Drawing upon the social support theory, the purpose of this paper is to propose a theoretical model to examine the determinants and outcomes of NPB during a social crisis.

To test the research model, a field survey was conducted in the context of Tianjin 2015 explosions in China. The authors adopted a two-step approach to test the models. First, the authors conducted exploratory factor analysis to evaluate the measurement properties of the reflective latent constructs. Then, the authors performed a structural equation analysis to test the hypotheses.

The results show that information support and emotional support are significant determinants of NPB and persona involvement moderates the relationships between them. Additionally, this study reveals that information source preference and increasing enthusiasm for becoming a civil journalist are two critical and significant outcomes of NPB.

There are some limitations in this paper that must be taken into account when interpreting its findings. First, the study is designed on a single profile and concerns a single social crisis. Additionally, future research might consider incorporating factors beyond the individual level, e.g., community social capital (Putnam, 1993). Finally, with the emergence of various IT platforms, such as a government’s own website and online forms, future research can investigate how their characteristics can facilitate other social media platforms’ participation.

This paper offers a number of crucial research implications to the literature of social media in crisis management, thereby contributing to the explanation of NPB on GSPs in the management of social crises. Considering social support as a factor affecting NPB on GSPs, the authors also add personal involvement to the research on the functions of NPB on GSPs and include encouraging civil journalist and making GSPs the principal source of political information.

The research provides participating netizens on GSPs with some suggestions about generating more cost-effective and useful interventions to improve netizen participation levels on GSPs. The findings highlight that governmental social media profiles must focus on continuous development, such as trying best to satisfy the habits of netizens, to motivate netizens to create dependence of information acquisition on the GSPs, called information source preference. On the other hand, the study reminds netizens of the importance of NPB on GSPs during crises and encourages them to act as civil journalist.

First, the study investigated the outcome effect of NPB on GSPs on netizens’ information source preference and civil journalist. Second, this study identifies the determinants of NBPs on GSPs from both the informational and the emotional support perspectives. Third, this study investigates the moderating effects of personal involvement on the relationships between determinants from social support and NPB on GSPs.

The purpose of this paper is to examine the effect of application of a heat pipe in an aspect of hydrostatic thrust bearings on thermal balance and deformation and the role of this application in increasing the rotating speed of a workbench.

Numerical simulations of oil film temperature field, the temperature field and thermal deformation of the bearing’s workbench and base were performed by finite element analysis (FEA) software for both the traditional hydrostatic thrust bearings and the heat pipe ones.

Oil pad and workbench of the hydrostatic thrust bearings are fabricated with a heat pipe cooling structure, which can take away most of the heat generated by shearing of the oil film, control the temperature rise and thermal deformation of the hydrostatic thrust bearing effectively, avoid the dry friction phenomenon and finally improve the processing quality of equipment.

The heat pipe hydrostatic thrust bearings could control the temperature rise and thermal deformation of the hydrostatic thrust bearing effectively, avoid the dry friction phenomenon and improve the processing quality of equipment.