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The purpose of the paper is to examine the impact of investor sentiment on managers’ decisions to provide CSR disclosures. The core issue focuses on whether, why and how managers adjust their approach to CSR disclosure to cater to the investor sentiment.

On the basis of 13,488 observations of A-share listed companies, the authors examine the impacts of investor sentiment on CSR disclosure, which is measured separately by the propensity to issue a standalone CSR report and the quality of CSR reports. Furthermore, the authors examine the moderating role of institutional factors in China.

The authors find that during low-sentiment periods, managers are more likely to issue a standalone CSR report and the quality of CSR reports is higher, and vice versa. Additionally, the authors find that the negative correlations between CSR disclosure and investor sentiment are stronger in state-owned enterprises.

First, the measurement of investor sentiment reflects only a part of characteristics of investor sentiment. Second, the authors pay less attention to the specific items of a CSR report.

The study contributes to the literature on CSR disclosure and investor sentiment by combining the two fields together. Furthermore, the study deepens the understanding of the institutional context in China and contributes to research on the predictors of CSR disclosure.

The three-dimensional arrangement structure of the conductive fiber is an important factor of the shielding effectiveness of the electromagnetic shielding fabric (EMSF). However, until now, the three-dimensional arrangement structure has not been described because of the complex structure, which leads to many difficulties for the subsequent analysis of the electromagnetic characteristics. Therefore, the purpose of this paper is to propose a feature extraction method to describe the arrangement structure of the conductive fiber based on the three-dimensional calibration and image processing technology, providing a new idea for the above problem.

First, the three-dimensional positions of the conductive fibers in the EMSF are calibrated using the VHX-600 3D digital microscope and the MATLAB7.5 software. The arrangement characteristics of the conductive fibers are analyzed, and equivalent twist, cross-sectional content, and average angle of a single fiber are proposed to describe the arrangement characteristic of the conductive fiber. Then, a digital description model of the conductive fiber is constructed according to the feature parameters and its three-dimensional structures are reproduced using CATIA. Finally, the reliability of the model is verified by an FDTD example, and the significance and application of the model are given.

The proposed method can provide the feature extraction and description for the complex spatial three-dimensional arrangement structure of conductive fibers. The feature parameters can reflect different micro arrangement features of the conductive fiber. The proposed idea and method can provide a solid foundation for subsequent studies of the electromagnetic properties of the EMSF.

The study in this paper is of great significance and academic value. This paper provides a new three-dimensional calibration method and constructs multiple feature parameters to describe the complex three-dimensional arrangement structure, providing a new effective method to overcome the problem of the conductive fiber description. The proposed method provides an important basis for the shielding mechanism, transmission characteristics, electromagnetic calculation and product design, and woven technology of the EMSF.

The purpose of this paper is to study the rent-seeking behavior of stakeholders in construction projects and to provide a reference for further studies on collaboration in China, which could thus improve the collaborative management in construction and reduce the waste of resources.

In this paper, the authors discuss and analyze the current situation of rent-seeking behavior in infrastructure construction projects, integrated project delivery (IPD), and the application of a building information model (BIM) in China. The authors analyze the collusive behavior between the supervision department and the contractor via the rent-seeking model on the basis of the game theory and present that BIM and IPD have a positive impact on rent-seeking activities of construction projects. The key factors influencing the rent-seeking activities from the perspective of the owner are studied via a questionnaire survey.

The research status of IPD in China includes the application of IPD, IPD collaborative management and the combination of lean construction (LC), IPD and BIM. The enthusiasm of the adoption of BIM and IPD is higher for design institute, construction units, research institutions and universities. The findings indicate that the owner appears to have a significant influence on stakeholders in construction projects, such as supervising efficiency, rewards and punishment. Therefore, the results also demonstrate that the construction project based on BIM and IPD can effectively avoid the rent-seeking activities of the participants.

The findings are primarily based on questionnaire data originated from Central China; hence there are some limitations that are worth noting.

First, it provides compelling data evidence for the adoption of BIM and IPD in China. Second, it paves a solid foundation for the behavior of stakeholders in construction projects based on BIM and IPD.

In this paper, a game model of contractor, supervisor and owner is established, and a preliminary attempt is made to introduce BIM and IPD into the model for the behavioral research of participants.

The purpose of this paper is to provide an analytical method of jet flow injection direction and to determine the influence of oil nozzle structure parameters on oil injection direction, thus providing the design method of oil nozzle structure parameters.

A model of oil injection loss is established to analyze the influence of oil nozzle structure parameters on oil injection direction. The computational fluid dynamics method is used to simulate the process of the deviation of jet flow injection direction. The deviation of jet flow injection direction with different oil nozzle structure parameters is calculated and their variations are obtained. Moreover, the deviation of jet flow injection direction with different oil nozzle structure parameters is tested to verify the analysis results.

Results indicate that radial velocity caused the deflection of the oil injection direction. The deviation of jet flow increased as the nozzle slenderness ratio decreased. The design method of the nozzle slenderness ratio (greater than five) is proposed to avoid the deviation of injection direction, and it is necessary to consider the matching between the nozzle slenderness ratio and pipeline pressure. The computational results coincide well with the experimental results.

The research presented here analyzed the influence of oil nozzle structure parameters on oil injection direction via a numerical analysis method. It also leads to a design reference guideline that could be used in jet lubrication, thus controlling the direction of the injection jet accurately.

The purpose of this paper is to answer “Why do Chinese consumers use IOT systems?” and “Do consumers’ cognitive and affect experiences moderate the relationship between psychological perception factors and perceived usefulness?”

In-depth interview with consumers and experts had been conducted and then the perceived psychological factors that influence perceived usefulness had been summarized. Based on a survey test of 337 smart home users, this study applies partial least squares technique analysis to test the research model.

The research results show that perceived psychological factors (perceived ease of use, perceived intelligence, perceived convenience and perceived privacy risk) have significant effect on the intention and behavior of IOT systems usage through perceived usefulness. Cognitive experience moderates the relationship between perceived ease of use and perceived usefulness, perceived privacy risk and perceived usefulness; affect experience moderates the relationship between perceived ease of use and perceived usefulness.

The current study mainly tested the antecedents of consumers’ usage of IOT systems, and the outcome of using the system was not investigated. Future research can examine the outcome (e.g. satisfaction, perceived value) by using the expectation-confirmation theory.

This study provides a useful insight into the key driving factors in consumers’ intention and behavior of using IOT systems. The previous studies over IOT systems have not observed consumers’ perception of IOT systems, but in fact IOT systems are being applied to more and more personal users.

This research aims to improve the performance of rail fastener defect inspection method for multi railways, to effectively ensure the safety of railway operation.

Firstly, a fastener region location method based on online learning strategy was proposed, which can locate fastener regions according to the prior knowledge of track image and template matching method. Online learning strategy is used to update the template library dynamically, so that the method not only can locate fastener regions in the track images of multi railways, but also can automatically collect and annotate fastener samples. Secondly, a fastener defect recognition method based on deep convolutional neural network was proposed. The structure of recognition network was designed according to the smaller size and the relatively single content of the fastener region. The data augmentation method based on the sample random sorting strategy is adopted to reduce the impact of the imbalance of sample size on recognition performance.

Test verification of the proposed method is conducted based on the rail fastener datasets of multi railways. Specifically, fastener location module has achieved an average detection rate of 99.36%, and fastener defect recognition module has achieved an average precision of 96.82%.

The proposed method can accurately locate fastener regions and identify fastener defect in the track images of different railways, which has high reliability and strong adaptability to multi railways.

This study aims to explore the factors influencing the post-pandemic intentions of Chinese residents to participate in outbound travel. The mechanism by which residents' perception of the coronavirus disease (COVID-19) influenced their outbound travel intentions are studied.

This study developed an extended theory of planned behavior (TPB) model and used structural equations to analyze data received from 432 questionnaires. Responses were obtained through a combination of online surveys and a traditional paper-based distribution of questionnaires.

Results showed that attitude, subjective norms, perceived behavioral control and past outbound travel behavior have significant positive effects on post-pandemic outbound travel intentions. Although the perception of COVID-19 directly and negatively influences outbound travel intentions, it also has an indirect influence on outbound travel intentions through the mediating effect of non-pharmaceutical interventions. The authors also found that risk tolerance has a negative moderating effect on the direct impact of residents' perception of COVID-19 on their travel intentions.

The findings can serve as a reference for formulating appropriate tourism development policies by government agencies, tourism management departments and tourism enterprises in destination countries.

This study developed an extended TPB model by adding more constructs into the TPB model. Compared with the original TPB model, the extended TPB model has better explanatory power of post-pandemic travel intentions. The study also provides evidence for the applicability of the TPB model in studying travel intentions within the context of major public health emergencies and has expanded the application scope of the TPB model.

新冠肺炎疫情后中国居民出境旅游意愿的影响因素研究······································——基于疫情感知的扩展TPB模型

摘要

本研究致力于探索新冠肺炎疫情后（以下简称“疫情”）中国居民出境旅游意愿的影响因素, 以及疫情感知对出境旅游意愿的作用机制。

本文以TPB理论为基础, 通过构建扩展TPB模型, 并利用结构方程对432份问卷进行数据分析。问卷通过网络发放与传统纸质问卷调研相结合的方式获得。

态度、主观规范、感知行为控制及过去出境旅游行为对中国居民疫情后出境旅游意愿具有显著正向影响; 疫情感知在直接负向影响出境旅游意愿的同时, 还通过非药物干预行为的中介作用间接影响出境旅游意愿; 在疫情感知对出境旅游意愿的直接影响中, 风险容忍度起着负向调节作用。

研究结果对旅游目的地政府、旅游管理部门及旅游企业制定相应旅游发展政策具有一定前瞻性参考价值。

本文通过在原始TPB模型的基础上加入更多变量, 进而构建了扩展TPB模型。与原始模型相比, 扩展TPB模型对疫情蔓延背景下中国居民疫情后出境旅游意愿有着更好的解释力和预测力。本文证实了在突发重大公共卫生事件背景下TPB模型对于研究旅游意愿的适用性, 扩展了TPB模型的应用范围。

Investigación sobre los factores que influyen en la voluntad de viajar al extranjero de los residentes chinos después de la nueva epidemia de neumonía coronaria: un modelo extendido de TPB basado en la percepción de la epidemia

Resumen

Este estudio tiene como objetivo explorar los factores que influyen en las intenciones posteriores a la pandemia de los residentes chinos de participar en viajes al extranjero. Se estudia el mecanismo por el cual la percepción de los residentes sobre la enfermedad por coronavirus (COVID-19) influyó en sus intenciones de viajar al extranjero.

Este estudio tiene como objetivo explorar los factores que influyen en la intención de viaje de salida de los residentes chinos después de la pandemia, en particular el mecanismo por el cual la percepción de los residentes de COVID-19 influyó en sus intenciones de viaje de salida.

Los resultados mostraron que la actitud, las normas subjetivas, el control conductual percibido y el comportamiento de viajes de ida y vuelta en el pasado tienen efectos positivos significativos sobre la intención de viajar de ida después de la pandemia. Si bien la percepción de COVID-19 influye directamente de forma negativa en la intención de viaje de ida, también influye indirectamente en la intención de viaje de ida a través del efecto mediador de las intervenciones no farmacéuticas. También encontramos que la tolerancia al riesgo tiene un efecto moderador negativo sobre el impacto directo de la percepción de los residentes sobre el COVID-19 en la intención de viaje.

Nuestros hallazgos se pueden utilizar como referencia para las agencias gubernamentales, los departamentos de gestión del turismo y las empresas turísticas en los países de destino en la formulación de políticas de desarrollo turístico adecuadas.

Este estudio desarrolló un modelo TPB extendido agregando más constructos en el modelo TPB. En comparación con el modelo TPB original, el modelo TPB extendido tiene un mejor poder explicativo de las intenciones de viaje posteriores a una pandemia en el contexto de una pandemia. Este estudio también proporcionó evidencia de la aplicabilidad del modelo TPB para estudiar las intenciones de viaje en el contexto de las principales emergencias de salud pública y amplió el ámbito de aplicación del modelo TPB.

This study aims to explore the relationships among destination brand equity, brand authenticity and revisit intention. The mediating role of tourist satisfaction and the moderating role of destination familiarity in these relationships are also investigated.

Based on the stimulus–organism–response theory, a structural equation model was constructed to test the relationships among the study variables. The original data was obtained using a questionnaire survey method from domestic tourists who have traveled to Guilin in China.

The findings revealed that brand equity and brand authenticity not only positively and directly affect revisit intention but also have an indirect influence on revisit intention through the mediating role of tourist satisfaction. Destination familiarity positively moderates the direct influence of brand equity on revisit intention. Furthermore, brand authenticity significantly and positively affects brand equity.

The findings of this study provide a certain enlightenment for brand marketing and tourist destination management.

This study reveals the impact path of brand equity and brand authenticity on revisit intention, compensating for the lack of attention on impact mechanism among them. This study proves the impact of brand authenticity on destination brand equity. This compensates for the deficiencies that ignore possible antecedents affecting destination brand equity and the impact of brand authenticity on brand equity in the context of tourism destination. This study also confirms the specific dimensions of brand equity and brand authenticity in the context of Chinese tourism destinations in response to the current controversy.

旅游目的地品牌资产、品牌真实性与重游意愿: 游客满意度的中介作用与目的地熟悉度的调节作用

摘要

本研究致力于探究旅游目的地品牌资产、品牌真实性与重游意愿之间的关系。本文也研究了游客满意度在这些关系中所起的中介作用以及目的地熟悉度的调节作用。

本文以刺激-机体-反应理论为基础, 通过构建结构方程模型来对变量之间的关系进行检验。原始数据是通过问卷调查法从曾在桂林旅游的国内游客中获得。

目的地品牌资产和品牌真实性在直接正向影响重游意愿的同时, 还通过游客满意度的中介作用来间接影响重游意愿。目的地熟悉度在品牌资产对重游意愿的直接影响中起着正向调节作用。此外, 目的地品牌真实性对品牌资产起着显著正向影响。

本研究揭示了目的地品牌资产与品牌真实性对重游意愿的影响路径, 弥补了对其中影响机制关注不足的缺陷。本研究证实了旅游目的地背景下品牌真实性对品牌资产的具体影响, 弥补了现有文献较少关注影响目的地品牌资产的可能前因以及旅游目的地背景下品牌真实性对品牌资产具体影响的不足。此外, 本研究以中国旅游目的地为研究背景, 证实了品牌资产与品牌真实性的具体维度, 回应了当前的争议。

本研究结论对旅游目的地品牌营销与管理提供一定的启示。

Valor de marca de destino turístico, autenticidad de marca y voluntad de volver a visitar：El papel mediador de la satisfacción del turista y el papel moderador de la familiaridad con el destino

Resumen

este estudio tiene como objetivo explorar las relaciones entre el valor de la marca de destino, la autenticidad de la marca y la intención de volver a visitar. También se investiga el papel mediador de la satisfacción del turista y el papel moderador de la familiaridad con el destino en estas relaciones.

con base en la teoría Estímulo-Organismo-Respuesta, se construye un modelo de ecuación estructural para probar las relaciones entre las variables de investigación. Los datos originales se obtienen mediante el método de encuesta por cuestionario de turistas nacionales que han viajado a Guilin en China.

los hallazgos revelaron que el valor y la autenticidad de la marca no solo afectan positiva y directamente la intención de volver a visitar, sino que también tienen una influencia indirecta en la intención de volver a visitar a través del papel mediador de la satisfacción del turista. La familiaridad con el destino modera positivamente la influencia directa del valor de la marca en la intención de volver a visitar. Además, la autenticidad de la marca afecta de manera significativa y positiva al valor de la marca.

este documento revela el camino del impacto del valor de marca y la autenticidad de la marca en la intención de volver a visitar, compensando la falta de atención al mecanismo de impacto entre ellos. Este trabajo demuestra el efecto de la autenticidad de la marca en el valor de la marca del destino, que compensa las deficiencias que ignoran los posibles antecedentes que afectan el valor de la marca del destino y el impacto de la autenticidad de la marca en el valor de la marca en el contexto del destino turístico. Este estudio también confirma las dimensiones específicas del valor de marca y la autenticidad de la marca en el contexto del destino turístico chino, respondiendo a la controversia actual.

los hallazgos de este documento proporcionan cierta iluminación para el marketing de marca y la gestión de destinos turísticos.

The traditional drug development process is costly, time consuming and risky. Using computational methods to discover drug repositioning opportunities is a promising and efficient strategy in the era of big data. The explosive growth of large-scale genomic, phenotypic data and all kinds of “omics” data brings opportunities for developing new computational drug repositioning methods based on big data. The paper aims to discuss this issue.

Here, a new computational strategy is proposed for inferring drug–disease associations from rich biomedical resources toward drug repositioning. First, the network embedding (NE) algorithm is adopted to learn the latent feature representation of drugs from multiple biomedical resources. Furthermore, on the basis of the latent vectors of drugs from the NE module, a binary support vector machine classifier is trained to divide unknown drug–disease pairs into positive and negative instances. Finally, this model is validated on a well-established drug–disease association data set with tenfold cross-validation.

This model obtains the performance of an area under the receiver operating characteristic curve of 90.3 percent, which is comparable to those of similar systems. The authors also analyze the performance of the model and validate its effect on predicting the new indications of old drugs.

This study shows that the authors’ method is predictive, identifying novel drug–disease interactions for drug discovery. The new feature learning methods also positively contribute to the heterogeneous data integration.

The purpose of this paper is to examine the synergistic effects of online multimedia by categorizing it into online broadcast media (OBM) and online interactive media (OIM).

The authors used an online experiment method to manipulate the online message stimuli level (online media synergy and online single media repetition).

The results revealed that participants exposed to message stimuli of online media synergy reported greater source credibility, cognitive responses (brand credibility and positive thoughts about the brand), attitude toward the brand and purchase intention. In online multimedia, source credibility influences attitude toward the brand through brand credibility and positive thoughts about the brand; in online single media repetition, source credibility influences attitude toward the brand through only brand credibility.

In addition, the relationship between online media synergy and marketing outcomes might be moderated by consumers’ goals and thought patterns, and future research could further explore the moderating effects of these variables.

This study contributes to media synergy research, assists marketing planners in their understanding of the importance of online media synergy and serves as a reference for marketing planners considering an integrated online marketing plan.

The current study investigated how the synergy of OBM and OIM influences message persuasiveness for consumers (cognitive responses, attitude toward the brand and purchase intention).