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Recommending suitable doctors to patients on healthcare consultation platforms is important to both the patients and the platforms. Although doctor recommendation methods have been proposed, they failed to explain recommendations and address the data sparsity problem, i.e. most patients on the platforms are new and provide little information except disease descriptions. This research aims to develop an interpretable doctor recommendation method based on knowledge graph and interpretable deep learning techniques to fill the research gaps.

This research proposes an advanced doctor recommendation method that leverages a health knowledge graph to overcome the data sparsity problem and uses deep learning techniques to generate accurate and interpretable recommendations. The proposed method extracts interactive features from the knowledge graph to indicate implicit interactions between patients and doctors and identifies individual features that signal the doctors' service quality. Then, the authors feed the features into a deep neural network with layer-wise relevance propagation to generate readily usable and interpretable recommendation results.

The proposed method produces more accurate recommendations than diverse baseline methods and can provide interpretations for the recommendations.

This study proposes a novel doctor recommendation method. Experimental results demonstrate the effectiveness and robustness of the method in generating accurate and interpretable recommendations. The research provides a practical solution and some managerial implications to online platforms that confront information overload and transparency issues.

Building upon the cognition-affect-behavior (CAB) model and script theory, this research aims to enrich the existing literature on historic town tourism consumption by offering empirical evidence of how the cognitive and affective images of historic towns contributes to tourists' memorable tourism experiences (MTE) and revisit intention, while identifying the cognitive image dimensions that are relevant for evaluating historic towns.

An on-site survey was conducted with 486 local tourists who visited the historic towns in Chengdu. partial least squares-structural equation modeling (PLS-SEM) was utilized to assess both the measurement and structural models.

(1) Cognitive image emerged as a significant predictor of affective image; (2) Both cognitive image and affective image had a positive influence on MTE, in which cognitive image played a more dominant role in shaping MTE; (3) MTE was found to strongly predict revisit intention among tourists; (4) MTE and affective image mediated the relationship between cognitive image and revisit intention.

This research highlights the value of incorporating cognitive and affective constructs in predicting MTE, and the proposed integrated framework of the CAB model and script theory exhibits superior predictive power in understanding tourists' revisit intention.

This research provides empirical insights about how historic towns improve their marketing strategies as short day-trip destinations.

This research provides a novel insight on the applicability of an integrated model combining the CAB model and script theory in explaining the revisit behavior of local tourists within the context of historic towns.

This study aims to examine the factors influencing the adoption intention of information service mashup in digital library (DL). The study is an empirical study on DLs in China.

This paper employs the theory of information service mashup as its theoretical background and applies it to the field of DL to develop the measurement model which is based on technology acceptance model (TAM). A structured questionnaire was developed including the demographic information, the advantages of information service mashup in DL and the Likert evaluation of each construct. As a result, of 303 questionnaires distributed among DL users, 281 were remained as acceptable answers. The data were processed and analyzed with the aid of the SPSS 20.0 and SmartPLS 2.0.

The results show that beyond perceived usefulness and perceived ease of use, both perceived integration and perceived risk have direct impacts on user’s intention to adopt information service mashup in DL. Perceived integration has the dramatic positive effects, while perceived risk negatively correlates to adoption intention. Moreover, perceived integration and individualization have positive impacts on perceived ease of use, while network externality positively influences perceived usefulness.

Information service mashup is still a relatively new technology in DL. There were few theoretical and empirical studies that examine the user adoption behaviour of the service. This study contributes to existing information service mashup application studies by modifying and extending TAM. The results would help the DL gain a deeper understanding of the factors affecting DL user adoption of information service mashup.

This paper aims to explore question and answer (Q&A) participation and behavioral patterns on academic social networking sites (ASNSs) from the perspective of multiple subjects such as academic, corporate and government institutions.

Focused on the Q&A service of ASNSs, this study chooses ResearchGate (RG) as the target ASNS and collects a large-scale data set from it, involving a sample of users and a Q&A sample about academic, corporate and government institutions. First, it studies the law of Q&A participation and the distribution of the type of user according to the sample of users. Second, it compares question-asking behavior and question-answering behavior stimulated by questions among the three types of institutions based on the Q&A sample. Finally, it discusses the Q&A participation and behavioral patterns of the three types of institutions in academic Q&A exchanges with full consideration of institutional attributes, and provides some suggestions for institutions and ASNSs.

The results show that these three types of institutions generally have a low level of participation in the Q&A service of RG, and the numbers of questions and answers proposed by institutional users conform to the power-law distribution. There are differences in Q&A participation and Q&A behavioral patterns among academic, corporate and government institutions. Government and academic institutions have more users participating in the Q&A service and their users are more willing to ask questions, while corporate institutions have fewer users who participate in the Q&A service and their users are inclined to provide answers. Questions from corporate institutions attract much more attention than those from the other two types of institutions.

This study reveals and compares the Q&A participation and the behavioral patterns of the three types of institutions in academic Q&A, thus deepening the understanding of the attributes of institutions in the academic information exchange context. In practice, the results can help guide different institutions to use the Q&A service of ASNSs more effectively and help ASNSs to better optimize their Q&A service.

This paper aims to present the mixed elastohydrodynamic lubrication (EHL) model and obtain the leakage characteristics for the skeleton reciprocating oil seal.

The model consists of a finite element analysis of the contact pressure, a fluid mechanics analysis of the fluid film, a contact analysis of the asperity contact pressure, a deformation analysis of the seal lip and an iterative numerical simulation process.

Simulation results show that the leakage is in direct proportion to the seal roughness and speed, and in inverse proportion to the fluid viscosity. Comparisons with the experimental results verify the validity of the mixed EHL model.

This study provides a helpful method to calculate the leakage of the skeleton reciprocating oil seal, which shortens its development cycles.

The purpose of this study is to investigate the influence of three sources of social representation (i.e. direct experience of an event, the media and social interaction) on tourists’ formation of event image; to examine the effect of event image, satisfaction and city image on tourists’ revisit intentions to the host city; and to explore the mediating role of city image.

This study used the 28th Qingdao International Beer Festival (QIBF) as the case for verifying the relationships in the proposed model. The survey was conducted in Qingdao and 366 valid observations were collected. Structural equation modeling was used to validate the research model.

Event image is found to be significantly and positively influenced by direct experience of an event and social interaction. City image and satisfaction are important predictors of revisit intention. The meaning of event image is transferred to city image. City image plays a pivotal role in mediating the effect of event image and satisfaction on revisit intention to the host city.

This study surveyed Chinese tourists attending QIBF in Qingdao and consequently the outcomes may lack generalizability. This research did not survey foreign tourists. Thus, the differences of attitudes and behaviors between Chinese and foreign tourists are not compared.

The outcomes provide insights into how a city manager can organize an event to enhance tourists’ intentions to revisit the city.

This study represents one of the few studies that use both social representation theory and the theory of brand image transfer in examining the influence of external social contexts on tourists’ formation of event image and investigates how the unique meaning of event activities is transferred to city image. In addition, the mediating role of city image is fully explored in this research.

本研究的目的包括（1）探究社会表征的三个来源（事件的直接体验, 媒体影响, 社会互动）对游客事件形象评价的影响；（2）验证事件形象、满意度、城市形象对游客重访举办地意愿的影响；（3）检验城市形象的中介作用。

本研究以第28届青岛国际啤酒节为案例研究对象, 来验证模型中的变量关系。调研在青岛进行, 共收集有效问卷366份。通过结构方程模型来验证研究假设。

事件形象评价受到直接体验和社会互动的显著积极影响。城市形象和满意度是游客重访意愿重要的影响因素, 事件形象的内涵转移到城市形象。城市形象在事件形象和满意度对重访意愿的影响作用中起到重要的中介作用。

本研究对参加青岛国际啤酒节的中国游客进行调研, 结果可能缺少普适性。本研究没有调研外国游客, 缺少中外游客的态度和行为差异的对比。

研究结论对于城市管理者如何更好的组织事件活动以提升游客重访城市的意愿提供了新的思路。

本研究将社会表征理论和品牌形象理论应用到事件营销当中, 解释了游客事件形象评价的形成过程中外部社会情境的影响, 以及事件活动的独特内涵向城市形象转移的过程。同时, 本研究验证了城市形象在事件形象和满意度对重访意愿的影响作用中的中介作用。

事件形象, 城市形象, 满意度, 重访意愿, 社会表征理论

研究论文

(1) explorar el impacto de tres fuentes de representación social (experiencia directa de eventos, influencia de los medios, interacción social) en la evaluación de la imagen del evento de los turistas; (2) Verificar el impacto de la imagen del evento, la satisfacción y la imagen de la ciudad en la voluntad de los turistas para volver a visitar el lugar; (3) verificar el papel mediador de la imagen de la ciudad.

Este estudio toma el 28° Festival Internacional de Cerveza de Qingdao como un objeto de estudio de caso para verificar la relación de las variables en el modelo. La encuesta se realizó en Qingdao y se recolectó un total de 366 cuestionarios válidos. El modelo de ecuación estructural se utiliza para verificar la hipótesis de investigación.

El estudio muestra que la experiencia directa de los eventos y la interacción social tienen un impacto positivo y significativo en la evaluación de la imagen del evento. La imagen de la ciudad y la satisfacción son factores importantes que influyen en la voluntad de los turistas a volver a visitar. Los resultados de la investigación muestran que la imagen de la ciudad desempeña un importante papel de mediación en el efecto de la imagen del evento y la satisfacción en la voluntad de volver a visitar.

este estudio encuestó a los turistas que participaron en el Festival Internacional de Cerveza de Qingdao, y los resultados pueden carecer de generalidad. Este estudio no investigó a los turistas extranjeros, solo a los turistas chinos, por eso careció de una comparación de las diferencias en actitudes y comportamientos entre los turistas chinos y extranjeros.

las conclusiones de la investigación proporcionan nuevas ideas sobre cómo los administradores de la ciudad pueden organizar mejor las actividades del evento para aumentar la voluntad de los turistas a visitar la ciudad nuevamente.

este estudio aplica la teoría de la representación social y la teoría de la imagen de marca al marketing de eventos, explicando el impacto de los contextos sociales externos en la formación de la evaluación de imágenes de eventos turísticos y el proceso de transferir la connotación única de las actividades de eventos a la imagen urbana. Al mismo tiempo, este estudio demuestra que el papel mediador de la imagen de la ciudad tiene un impacto de la imagen del evento y la satisfacción en la voluntad de volver a visitar.

The purpose of this paper is to present a method to accurately forecast the tendency of the gross amount of energy sources consumption of the country and construct a new kind of algorithm for forecasting that synthesizes the advantages of the grey model, Markov chains, and least square method.

With the application of this new algorithm, this paper have forecasted the trend of the gross amount of energy sources consumption of the country and come to the conclusions that the new algorithm is more precise than the grey model. It is proved that the improved grey‐Markov chain algorithm is effective and can be used by authorities to make decision.

It was found that combining the grey model, Markov chains, and least square method, can be a new algorithm for forecasting the trendency of the gross amount of energy sources consumption.

The new algorithm is only suitable for the short‐term forecast.

The grey forecasting method reflects the overall tendency of primitive data sequence of the gross amount of energy source, and the Markov chain forecasting method reflects the effect of the random fluctuation. The least square method reflects the tendency of increase. The new algorithm is more precise than the grey model.

Corporate reputation (CR) is an important intangible asset of a company. The purpose of this paper is to investigate the role of CR on co-operants behavior and on organizational performance in co-operative organizations.

This investigation proposes an investigation model and tests the framework using structural equation modeling. For this purpose, 263 valid questionnaires were collected from a research sample comprised of co-operants of the biggest dairy union of co-operatives in Iberia.

CR has a significant impact on co-operatives members’ loyalty and on co-operatives’ performance. The model provides a wider comprehension of the CR concept and introduces both the drivers and consequences.

This investigation is based on a sample of members of one union of co-operatives in the specific dairy milk industry.

The results give new guidelines to redress the co-operatives traditional management, namely the management of intangible assets like reputation. Internal culture, satisfaction with management, image and communication can boost reputation and thus organizational performance and members’ loyalty.

This paper aims to contribute to the competitiveness of a type of organization closed to the social structure of the rural population.

The results bring the management challenges of the twenty-first century to the traditional principles underlying co-operatives management helping them to reinforce competitiveness.

The purpose of this paper is to utilize a multi-method design for research on corruption in China. Corruption in any society is inimical to good governance. Singapore, despite her size, is argued to be a plausible model for China.

Taking a multi-method approach, the phenomena of corruption is investigated from: etymological analyses for corruption (European roots) and its Chinese equivalent, 贪污 (pinyin: tan wu) case studies taken from three periods: current, Qing Dynasty and to founding of China (zhong guo, Qin Dynasty) to ground our policy recommendation of China be modeling after Singapore on the basis of our analysis of statistical (2013 and longitudinal) data. In the process, the authors embark on inter-country comparisons (mainly Confucian China, Hong Kong, Taiwan, South Korea and Japan).

Here are the key insights: scholars are unaware the English word corruption is narrower in scope than the Chinese equivalent tan wu贪污. As far back as 3,000 years, the Chinese had attributed wu, 污 as filthy, polluting, dirty to psychological concept of greed tan, 贪. In English, corruption does not denote greed per se. Falsification of facts as a political ploy dates back to Qin dynasty. Destabilizing corrupt cases occurred in China today as in Qing Dynasty. Singapore rather Hong Kong is a better model for China in reforming society.

This paper illustrates a distinctively, in-depth approach to research on Chinese management. It shows why it is important to clarify key concepts: corruption in the West and tan wu贪污in the East. Historical cases are utilized to show the presence of a continuing Chinese mind set. The authors argued for China to embark on a city-by-city strategy (modeling after Singapore) toward becoming a corruption-free society. Now, as 3,000 years ago, the Chinese conceptualization of corruption embeds the psychology of greed.

China is at a crossroad of her economic development. There is a possible risk of China being destabilized through the corruption of the top rung of leadership. Chinese authorities must with urgency, rein in corruption. An approach is proposed in this paper.

In terms of style, approach and method of research, this paper is highly original. The integrative research here provides a rationale and basis for the Chinese leaders to implement a policy for a less corrupt society.