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The purpose of this study is to investigate family tourists’ emotional responses at world heritage sites (WHSs) by using cognitive appraisal theory (CAT).

The online survey was conducted targeting the family tourists who had travel experience at Pingyao Ancient City, a United Nations Educational, Scientific and Cultural Organization world heritage destination in Northern China.

Data analysis with 347 family tourists to the site, via structural equation modeling analysis, revealed that existential authenticity (i.e. intrapersonal and interpersonal authenticity) and family interpersonal interaction help evoke emotional experience, which generates family cohesion and storytelling behavior as responses.

This study results contribute to an existing body of literature on the ability of CAT to illustrate how emotional experience forms in the context of family tourism at WHSs. The study also provides a clear understanding on how to elicit emotions among family tourists at heritage destinations.

旨在运用认知评价理论 (CAT) 探讨家庭游客在世界遗产地 (WHSs) 的情感反应。

这项线上调查的对象为游览过平遥古城的家庭旅游者, 平遥古城是一个位于中国北方的联合国教科文名录中的世界文化遗产地。

本研究通过结构方程模型对由347名家庭旅游者提供的数据进行分析显示, 存在的真实性（即个人内部和人际真实性）和家庭人际互动有助于唤起情感体验, 从而产生家庭凝聚力和故事讲述行为的情感反应。

本研究结果为有关认知评价理论（CAT）的现有文献做出贡献, 以说明在世界遗产旅游地家庭旅游的背景下情感体验是如何形成的。该研究也为在文化遗产目的地如何引发家庭游客的情绪提供了清晰的解释。

El propósito de este estudio es investigar las respuestas emocionales de los turistas familiares en los sitios del Patrimonio Mundial (WHS) mediante el uso de la teoría de evaluación cognitiva (CAT).

Se realizó una encuesta en línea dirigida a los turistas familiares que habían tenido una experiencia de viaje en la Ciudad Antigua de Pingyao, un destino de patrimonio mundial de la UNESCO en el norte de China.

El análisis de los datos con 347 turistas familiares, a través del análisis SEM, reveló que la autenticidad existencial (es decir, la autenticidad intrapersonal e interpersonal) y la interacción interpersonal familiar ayudan a evocar la experiencia emocional, lo que genera cohesión familiar y comportamiento narrativo como respuestas.

Los resultados de este estudio contribuyen a un cuerpo existente de literatura sobre la capacidad de CAT para ilustrar cómo se forma la experiencia emocional en el contexto del turismo familiar en las CHM. El estudio también proporciona una comprensión clara sobre cómo provocar emociones entre los turistas familiares en el destino de patrimonio.

This study examines the information transmission (return and volatility spillovers) among energy commodities (crude oil, natural gas, Brent oil, heating oil, gasoil, gasoline) and Asian stock markets which are net importers of energy (China, India, Indonesia, Malaysia, Korea, Pakistan, Philippines, Taiwan, Thailand).

The information transmission is investigated by employing the spillover index of Diebold and Yilmaz, using daily data for the period January 2000 to May 2021.

A Strong connectedness is documented between the two classes of asset, especially during crisis periods. Our findings reveal that most of the energy markets, except gasoil and natural gas, are net transmitters of information, whereas all the stock markets, excluding Indonesia and Korea, are net recipients.

The findings are helpful for portfolio managers and institutional investors allocating funds to various asset classes in times of crisis.

All data is original.

This paper studies the optimal decision-making and coordination problem of a dual-channel fresh agricultural product (FAP) supply chain. The purpose is to analyze the impact of information sharing on optimal decisions and propose a coordination mechanism to encourage supply chain members to share information.

The two-echelon dual-channel FAP supply chain includes a manufacturer and a retailer. By using the Stackelberg game theory and the backward induction method, the optimal decisions are obtained under information symmetry and asymmetry and the coordination contract is designed.

The results show that supply chain members should comprehensively evaluate the specific situation of product attributes, coefficient of freshness-keeping cost and network operating costs to make decisions. Asymmetric information can exacerbate the deviation of optimal decisions among supply chain members and information sharing is always beneficial to manufacturers but not to retailers. The improved revenue-sharing and cost-sharing contract is an effective coordination mechanism.

The conclusions can provide theoretical guidance for supply chain managers to deal with information asymmetry and improve the competitiveness of the supply chain.

This paper combines the three characteristics that are most closely related to the reality of supply chains, including horizontal and vertical competition of different channels, the perishable characteristics of FAPs and the uncertainty generated by asymmetric demand information.

Positive reviews can enrich the favorable impression of peer-to-peer accommodation products, and seizing this impression is vital for hosts. This study aims to focus on hosts’ response strategies to positive reviews and their effects.

This study categorizes hosts’ response strategies to positive reviews into cordial and tailoring responses. This study empirically analyzes the influence of these response strategies on subsequent review volumes using 1,283 valid listings and zero-inflation negative binomial regression models.

While hosts use cordial responses more, tailoring responses are more likely to drive subsequent reviews. In addition, when the host chooses entirely shared accommodation or sets a high price, the facilitating effect of the two response strategies on subsequent reviews weakens.

This study enriches the knowledge system on managerial responses by proposing two specific response strategies to positive reviews that can be adopted by peer-to-peer accommodation hosts and by finding the promoting impact of these strategies on subsequent review volumes.

This study recommends that peer-to-peer accommodation hosts adopt cordial and tailoring responses to encourage subsequent consumer reviewing behavior.

As an early attempt to explore hosts’ responses to positive reviews and their impacts on subsequent review volumes, this study provides valuable insights into further research on positive review response strategies in the digital space.

In recent years, there has been growing interest in the use of stainless steel (SS) in reinforced concrete (RC) structures due to its distinctive corrosion resistance and excellent mechanical properties. To ensure effective synergy between SS and concrete, it is necessary to develop a time-saving approach to accurately determine the ultimate bond strength τ_u between the two materials in RC structures.

Three robust machine learning (ML) models, including support vector regression (SVR), random forest (RF) and extreme gradient boosting (XGBoost), are employed to predict τ_u between ribbed SS and concrete. Model hyperparameters are fine-tuned using Bayesian optimization (BO) with 10-fold cross-validation. The interpretable techniques including partial dependence plots (PDPs) and Shapley additive explanation (SHAP) are also utilized to figure out the relationship between input features and output for the best model.

Among the three ML models, BO-XGBoost exhibits the strongest generalization and highest accuracy in estimating τ_u. According to SHAP value-based feature importance, compressive strength of concrete f_c emerges as the most prominent feature, followed by concrete cover thickness c, while the embedment length to diameter ratio l/d, and the diameter d for SS are deemed less important features. Properly increasing c and f_c can enhance τ_u between ribbed SS and concrete.

An online graphical user interface (GUI) has been developed based on BO-XGBoost to estimate τ_u. This tool can be utilized in structural design of RC structures with ribbed SS as reinforcement.

This study aims to explore the dissemination and evolutionary path of online public opinion from a crisis management perspective. By clarifying the influencing factors and dynamic mechanisms of online public opinion dissemination, this study provides insights into attenuating the negative impact of online public opinion and creating a favorable ecological space for online public opinion.

This research employs bibliometric analysis and CiteSpace software to analyze 302 Chinese articles published from 2006 to 2023 in the China National Knowledge Infrastructure (CNKI) database and 276 English articles published from 1994 to 2023 in the Web of Science core set database. Through literature keyword clustering, co-citation analysis and burst terms analysis, this paper summarizes the core scientific research institutions, scholars, hot topics and evolutionary paths of online public opinion crisis management research from both Chinese and international academic communities.

The results show that the study of online public opinion crisis management in China and internationally is centered on the life cycle theory, which integrates knowledge from information, computer and system sciences. Although there are differences in political interaction and stage evolution, the overall evolutionary path is similar, and it develops dynamically in the “benign conflict” between the expansion of the research perspective and the gradual refinement of research granularity.

This study summarizes the research results of online public opinion crisis management from China and the international academic community and identifies current research hotspots and theoretical evolution paths. Future research can focus on deepening the basic theories of public opinion crisis management under the influence of frontier technologies, exploring the subjectivity and emotionality of web users using fine algorithms and promoting the international development of network public opinion crisis management theory through transnational comparison and international cooperation.

This study aims to investigate the tourism stakeholders' opinions about developing smart tourism (ST) in the West Bank, Palestine. This research fulfils intriguing gaps in the literature on stakeholders' perceptions and views on developing ST in the West Bank, Palestine.

The research study employed a qualitative methodology using semi-structured interviews with nineteen respondents. All data collected were in April and May 2022.

The findings show that the understanding of ST-related stakeholders in the West Bank is mainly linked to information communication and technology, digitalisation, and online use of technology within the tourism industry. Moreover, the results show the high potential of developing the ST industry in the West Bank. However, this study revealed that challenges could affect the West Bank's development at different levels, such as managerial, technological, awareness, public sector restrictions, infrastructural, financial and political challenges.

This research has some shortcomings. The first restriction of this study was the political restrictions and the checkpoints, which limited the reach of some of the participants who reside in Jerusalem or other cities outside of the West Bank, which delayed the time of the interviews or converted it to be done through a digital platform. Secondly, the sample of this study was small in tourism stakeholders in the West Bank.

To the author's knowledge, this paper is the first on ST from the stakeholders' perspectives. Therefore, this study has set the first step in closing the existing gap in the literature.

This study aims to review the current one-step electrodeposition of superhydrophobic coatings on metal surfaces.

One-step electrodeposition is a versatile and simple technology to prepare superhydrophobic coatings on metal surfaces.

Preparing superhydrophobic coatings by one-step electrodeposition is an efficient method to protect metal surfaces.

Even though there are several technologies, one-step electrodeposition still plays a significant role in producing superhydrophobic coatings.

This study aimed to improve the financing credit evaluation for small and medium-sized real estate enterprises (SMREEs). A financing credit evaluation model was proposed, and a blockchain-driven financing credit evaluation framework was designed to improve the transparency, credibility and applicability of the financing credit evaluation process.

The design science research methodology was adopted to identify the main steps in constructing the financing credit model and blockchain-driven framework. The fuzzy analytic hierarchy process (FAHP)–entropy weighting method (EWM)–set pair analysis (SPA) method was used to design a financing credit evaluation model. Moreover, the proposed framework was validated using data acquired from actual cases.

The results indicate that: (1) the proposed blockchain-driven financing credit evaluation framework can effectively realize a transparent evaluation process compared to the traditional financing credit evaluation system. (2) The proposed model has high effectiveness and can achieve efficient credit ranking, reflect SMREEs' credit status and help improve credit rating.

This study proposes a financing credit evaluation model of SMREEs based on the FAHP–EWM–SPA method. All credit rating data and evaluation process data are immediately stored in the proposed blockchain framework, and the immutable and traceable nature of blockchain enhances trust between nodes, improving the reliability of the financing credit evaluation process and results. In addition, this study partially fulfills the lack of investigations on blockchain adoption for SMREEs' financing credit.

The purpose of this study is to establish a method for accurately extracting torch and seam features. This will improve the quality of narrow gap welding. An adaptive deflection correction system based on passive light vision sensors was designed using the Halcon software from MVtec Germany as a platform.

This paper proposes an adaptive correction system for welding guns and seams divided into image calibration and feature extraction. In the image calibration method, the field of view distortion because of the position of the camera is resolved using image calibration techniques. In the feature extraction method, clear features of the weld gun and weld seam are accurately extracted after processing using algorithms such as impact filtering, subpixel (XLD), Gaussian Laplacian and sense region for the weld gun and weld seam. The gun and weld seam centers are accurately fitted using least squares. After calculating the deviation values, the error values are monitored, and error correction is achieved by programmable logic controller (PLC) control. Finally, experimental verification and analysis of the tracking errors are carried out.

The results show that the system achieves great results in dealing with camera aberrations. Weld gun features can be effectively and accurately identified. The difference between a scratch and a weld is effectively distinguished. The system accurately detects the center features of the torch and weld and controls the correction error to within 0.3mm.

An adaptive correction system based on a passive light vision sensor is designed which corrects the field-of-view distortion caused by the camera’s position deviation. Differences in features between scratches and welds are distinguished, and image features are effectively extracted. The final system weld error is controlled to 0.3 mm.