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This paper seeks to revisit the interrelationship among tourists’ perceived value of the destination, tourist satisfaction and destination loyalty in the heritage tourism site of Hoi An. In addition, the moderating role of tourists’ perceived crowding, which has become remarkably common at the site, in such a triangle relationship will also be explored. In other words, this study aims to validate an extended model of perceived value – tourist satisfaction – destination loyalty – perceived crowding.

The study collects data from 403 tourists who visited Hoi An during peak season through an online questionnaire. The data were later analysed using AMOS and Warp partial least squares.

The results validate the significant and positive correlation among perceived value, customer satisfaction and destination loyalty. Also, perceived crowding was confirmed to affect the relationship among these three variables negatively. In terms of academic contributions, this paper empirically proved that low levels of tourist satisfaction and destination loyalty among tourists who highly value their visiting experience at World Heritage Sites (WHS) can be caused by perceived crowding.

So far, current literature has investigated the direct (either positive or negative) relationship between perceived crowding and post-visit behaviours of tourists (Nie et al., 2022; Papadopoulou, Ribeiro, & Prayag, 2023; Stemmer, Gjerald, & Øgaard, 2022). Broadening this area of research, the authors of this paper used the social interference theory and the stimulus-overload theory to explain the low level of tourist satisfaction and destination loyalty among tourists who highly value their visiting experience at WHS.

Based on the construal level theory, the purpose of this study is to prove the effect of interaction between construal level and visual crowding on consumers' buying intention. The study tries to explain the reasons behind the different buying intention toward visual crowding among consumers with different construal level.

This study was conducted through two situational simulation experiments. The main data analysis methods are ANOVA and bootstrap analysis.

(1) the matching of construal level and visual crowding has a significant effect on consumers’ buying intention. (2) Perceptual fluency mediates the interaction between the construal level and visual crowding on buying intention.

This study measures consumers' buying intention through situational experiments but does not measure consumers' buying behavior through real scenarios.

According to the study conclusions, consumers prefer visually crowded packaging that matches their construal level. Enterprises should consider the impact of the construal level on the effect of packaging stimulation.

This study enriches the theory related to construal level and highlights the mediating role of perceptual fluency. The addition of perceptual fluency explains the mechanism by which visual crowding affects consumers' buying intention. This extends the research on the antecedents and effects of perceptual fluency.

This study innovatively introduces visual crowding into packaging and matches visual crowding to construal level, explaining why different consumers buy different visually crowded packaging.

Due to the miniaturization of electronic devices, the increased current density through solder joints leads to the occurrence of electromigration failure, thereby reducing the reliability of electronic devices. The purpose of this study is to propose a finite element-artificial neural network method for the prediction of temperature and current density of solder joints, and thus provide reference information for the reliability evaluation of solder joints.

The temperature distribution and current density distribution of the interconnect structure of electronic devices were investigated through finite element simulations. During the experimental process, the actual temperature of the solder joints was measured and was used to optimize the finite element model. A large amount of simulation data was obtained to analyze the neural network by varying the height of solder joints, the diameter of solder pads and the magnitude of current loads. The constructed neural network was trained, tested and optimized using this data.

Based on the finite element simulation results, the current is more concentrated in the corners of the solder joints, generating a significant amount of Joule heating, which leads to localized temperature rise. The constructed neural network is trained, tested and optimized using the simulation results. The ANN 1, used for predicting solder joint temperature, achieves a prediction accuracy of 96.9%, while the ANN 2, used for predicting solder joint current density, achieves a prediction accuracy of 93.4%.

The proposed method can effectively improve the estimation efficiency of temperature and current density in the packaging structure. This method prevails in the field of packaging, and other factors that affect the thermal, mechanical and electrical properties of the packaging structure can be introduced into the model.

Polymer-based thermal interface materials (TIMs) are having pump out problem and could be resolved for reliable application. Solid-based interface materials have been suggested and reported. The purpose of this paper is suggesting thin film-based TIM to sustain the light-emiting diode (LED) performance and electronic device miniaturization.

Consequently, ZnO thin film at various thicknesses was prepared by chemical vapour deposition (CVD) method and tested their thermal behaviour using thermal transient analysis as solid TIM for high-power LED.

Low value in total thermal resistance (R_th-tot) was observed for ZnO thin film boundary condition than bare Al boundary condition. The measured interface (ZnO thin film) resistance {(R_th-bhs) thermal resistance of the interface layer (thin film) placed between metal core printed circuit board (MCPCB) board and Al substrates} was nearly equal to Ag paste boundary condition and showed low values for ZnO film prepared at 30 min process time measured at 700 mA. The T_J value of LED mounted on ZnO thin film (prepared at 30 min.) coated Al substrates was measured to be 74.8°C. High value in junction temperature difference (ΔT_J) of about 4.7°C was noticed with 30 min processed ZnO thin film when compared with Al boundary condition. Low correlated colour temperature and high luminous flux values of tested LED were also observed with ZnO thin film boundary condition (processed at 30 min) compared with both Al substrate and Ag paste boundary condition.

Overall, 30 min CVD processed ZnO thin film would be an alternative for commercial TIM to achieve efficient thermal management. This will increase the life span of the LED as the proposed material decreases the T_J values.

As the application of crowdsourcing contests grows, leveraging the participation of superstars (i.e. solvers who have outstanding performance records in a crowdsourcing platform) becomes an emergent approach for managers to solve crowdsourced problems. Although much is known about superstars’ performance implications, it remains unclear whether and how their participation affects the size of a contest crowd for a crowdsourcing contest. Based on social contagion theory, this paper aims to examine the impact of superstars’ participation on the crowd size and studies how this impact varies across solvers with different heterogeneity in terms of skills, exposure and cultural proximity with superstars in crowdsourcing contests.

This paper uses secondary data from one crowdsourcing platform that includes 6,587 innovation contests to examine superstars’ main and contextual effects on the crowd size of a contest.

Our results reveal that superstars’ participation positively affects the crowd size of a contest in general. This finding suggests that social contagion is a fundamental mechanism underlying crowd formation in crowdsourcing contests. Our results also indicate that in contests that involve multiple superstars, superstars’ effect on crowd size becomes negative when we simultaneously consider other solvers’ heterogeneity in terms of skills, exposure and cultural background, and this negative effect will be intensified by increases in the skill gap, extent of exposure and cultural proximity between superstars and other solvers in the same contest.

Our research enhances the understanding of the influence of superstars and the mechanism underlying the emergence of contest crowds in crowdsourcing contests and contributes knowledge to better understand social contagion in a competitive setting. The results are meaningful for sourcing managers and platform supervisors to design contests and supervise crowd size in crowdsourcing contests.

This research aimed to examine the current status of artificial intelligence's (AI's) integration into Chinese adult education, by analyzing the influences that AI has had on current adult education practices in China and by discussing the opportunities and challenges that adult education in China is faced with under the rapid AI development in the past 12 years.

This research employed systematic literature analysis. CNKI (China National Knowledge Infrastructure) Chinese Journals Full-text Database was used to collect scholarly publications on the use of AI in adult education in China that was published in the past decade. Data analysis included the following steps: identifying key words and phrases, detecting underlying meanings, searching for logical connections and relationships, collecting and connecting evidence to the research questions, and drawing logical and credible conclusions.

The findings indicated that AI has been gradually integrated into Chinese adult education through innovations and explorations and AI's influence is broad and profound. More specifically, the following five main themes were identified. The field's understanding of AI technology and AI's influence on adult education has evolved and become more comprehensive; AI challenges traditional Chinese adult education practices by helping to actualize personalized learning and precision education; AI transforms adult learning resource development; AI helps to turn learning environment into an open intelligent learning system; and lastly, AI urges the shift of adult educator's role in adult learning.

This study is not without limitations. Contextualized in China, this study shares the limitations with other single country studies. One such limitation is “cumulation” issue. This study should be replicated in other country contexts to further validate the generalizability of the five main themes identified in this research.

The five themes identified in this study can help understand the promises and challenges that AI brings to the field of adult education in China. These five themes can also serve as an integrated lens through which one can make sense of AI's integration into other countries' adult education practices.

This paper fulfills an identified need of understanding the current status of AI's integration into and influence on the field of adult education in China.

The purpose of this paper is to illustrate the new technical demands and reliability challenges to printed circuit board (PCB) designs, materials and processes when the transmission frequency increases from Sub-6 GHz in previous generations to millimeter (mm) wave in fifth-generation (5G) communication technology.

The approach involves theoretical analysis and actual case study by various characterization techniques, such as a stereo microscope, metallographic microscope, scanning electron microscope, energy dispersive spectroscopy, focused ion beam, high-frequency structure simulator, stripline resonator and mechanical test.

To meet PCB signal integrity demands in mm-wave frequency bands, the improving proposals on copper profile, resin system, reinforcement fabric, filler, electromagnetic interference-reducing design, transmission line as well as via layout, surface treatment, drilling, desmear, laminating and electroplating were discussed. And the failure causes and effects of typical reliability issues, including complex permittivity fluctuation at different frequencies or environments, weakening of peel strength, conductive anodic filament, crack on microvias, the effect of solder joint void on signal transmission performance and soldering anomalies at ball grid array location on high-speed PCBs, were demonstrated.

The PCB reliability problem is the leading factor to cause failures of PCB assemblies concluded from statistical results on the failure cases sent to our laboratory. The PCB reliability level is very essential to guarantee the reliability of the entire equipment. In this paper, the summarized technical demands and reliability issues that are rarely reported in existing articles were discussed systematically with new perspectives, which will be very critical to identify potential reliability risks for PCB in 5G mm-wave applications and implement targeted improvements.

In line with the stimulus overload theory, this study seeks a comprehensive understanding of tourism crowding by examining residents’ perceived tourism crowding and their corresponding avoidance and approach reactions through sustainable tourism. In addition, the study aims to investigate whether residents’ proenvironmental behavior moderates’ tourism’s negative impacts on the local ecosystem, delving into its potential mitigating role.

Using purposive sampling, the authors engaged residents associated with government and nongovernment organizations, universities, colleges and schools, as well as individuals from the business sector encompassing hotels, restaurants and cafeterias, markets and dedicated social activists actively involved in community affairs.

The analysis, conducted on 920 questionnaires using structural equation modeling, demonstrates that tourism crowding exhibits a negative correlation with sustainable tourism and approach reactions but a positive correlation with avoidance reactions. Furthermore, the moderation analysis suggests that as residents’ proenvironmental behavior improves, the detrimental effect of tourism crowding on sustainable tourism diminishes.

The study presents numerous implications for policymakers and the tourism industry, emphasizing the need to comprehend residents’ perceptions of tourism crowding and sustainable tourism. It underscores the importance of engaging residents in the tourism process to achieve sustainability goals.

The novel theoretical contribution lies in applying the stimulus overload theory to examine tourism crowding and sustainable tourism, specifically from the residents’ perspectives.

本研究根据刺激超负荷理论, 通过考察旅游地居民在整个可持续旅游过程中对旅游拥挤的感知以及他们的相应回避和接近反应, 寻求对旅游拥挤的全面了解。此外, 本研究旨在调查旅游地居民的环保行为是否可以缓和旅游对当地生态系统造成的负面影响, 并深入探讨潜在缓解作用。

我们采用目的性抽样方法, 邀请了与政府和非政府组织、大学、学院和学校有关联的旅游地居民, 来自商业领域（包括HORECA“酒店、餐馆和自助餐厅”和市场）的个人, 以及积极参与社区事务的专职社会活动家。

本研究采用结构方程模型（SEM）对920份调查问卷进行分析, 结果表明旅游拥挤与可持续旅游和接近反应呈负相关, 而与回避反应呈正相关。此外, 缓和分析表明, 随着旅游地居民环保行为的改善, 旅游拥挤对可持续旅游的不利影响呈现减弱。

本研究为决策者和旅游业提供了许多启示, 强调需要了解旅游地居民对旅游拥挤和可持续旅游的感知, 亦强调了让旅游地居民参与旅游过程的重要性, 以确保实现可持续发展目标。

本研究贡献了新颖的理论, 应用刺激超负荷理论考察旅游拥挤和可持续旅游, 特别是从旅游地居民角度进行考察。

Este estudio busca una comprensión global de la masificación turística mediante el examen de la masificación turística percibida por los residentes y sus correspondientes reacciones de aproximación y evitación a través del turismo sostenible, en el marco de la teoría de la sobrecarga de estímulos. Además, el estudio investiga si el comportamiento proambiental de los residentes modera los impactos negativos del turismo en el ecosistema local, profundizando en su potencial papel mitigador.

Utilizando un muestreo intencional o por juicio, se recogieron datos de residentes vinculados a organizaciones gubernamentales y no gubernamentales, universidades, institutos y escuelas, así como a personas del sector empresarial que engloba hoteles, restaurantes y cafeterías, mercados y activistas sociales que participan activamente en asuntos comunitarios.

El análisis de 920 cuestionarios mediante un modelo de ecuaciones estructurales demuestra que la masificación turística presenta una correlación negativa con el turismo sostenible y las reacciones de aproximación, pero una correlación positiva con las reacciones de evitación. Además, el análisis de moderación sugiere que a medida que mejora el comportamiento proambiental de los residentes, disminuye el impacto negativo de la masificación turística sobre el turismo sostenible.

El estudio presenta numerosas implicaciones para los responsables políticos y la industria turística, destacando la necesidad de comprender las percepciones de los residentes sobre la masificación turística y el turismo sostenible. Se subraya la importancia de implicar a los residentes en el proceso turístico para alcanzar objetivos de sostenibilidad.

La novedosa aportación teórica radica en la aplicación de la teoría de la sobrecarga de estímulos para examinar la masificación turística y el turismo sostenible, específicamente desde la perspectiva de los residentes.

This paper aims to present a novel multi-objective version of the Gorilla Troops optimizer (GTO), based on crowding distance, to achieve the optimal design of a brushless direct current motor.

In the proposed algorithm, the crowding distance technique was integrated into the GTO to perform the leader selection and also for the external archive refinement from extra non-dominated solutions. Furthermore, with a view to improving the diversity of non-dominated solutions in the external archive, mutation operator was used. For constrained problems, an efficient strategy was adopted. The proposed algorithm is referred to as CD-MOGTO.

To validate the effectiveness of the proposed approach, it was initially tested on three constrained multi-objective problems; thereafter, it was applied to optimize the design variables of brushless direct current motor to concurrently fulfill six inequality constraints, maximize efficiency and minimize total mass.

The results revealed the high potential of the proposed algorithm over different recognized algorithms in solving constrained multi-objective issues and the brushless direct current motors.

This study aims to explore the good crowding effect among Indian domestic travellers during the COVID-19 pandemic in the context of the city destination. This study uses the framework of social motivation theory to achieve the objective.

This study adopted a qualitative research design by taking the case of Shimla, Himachal Pradesh. Using purposive sampling, semi-structured interviews were conducted with 37 respondents, and themes were drawn manually.

The analysis found four themes that create a good crowding effect among domestic tourists, namely, convenience and price; familiarity and place attachment; social affiliation; and safety. The themes indicated that despite the pandemic, and constant occurrences of new variants, Indian domestic tourists’ on-site attitude towards crowding was favourable.

Firstly, the good crowding effect during the pandemic could have been better understood using empirical data. Secondly, the results cannot be generalized, specifically for developed economies.

This study offers practical implications to destination managers and local administrative bodies for whom achieving sustainability in urban tourism has always been concerning. These include developing infrastructural facilities, encouraging cultural activities in city centres and improving the perception of safety to sustain the good crowding effect.

The affective dimension involved in making a travelling decision played a significant role in the post-pandemic phase. While suppliers needed survival, tourists needed social affiliation and escape from the mandated home isolation due to multiple phases of COVID-19 lockdown in India. This study adds value to society by emphasising that the need for social affiliation among travellers remains intact, and the tourism industry should embrace this transformation.

While most of the pandemic-related studies criticised crowd and tourists’ crowd averting behaviour, this study reported that the good crowding effect could also be an outcome owing to different factors. Therefore, this study offers distinctive nuance of tourists’ behaviour in the post-COVID-19 phase, allowing destination managers and tourism stakeholders to re-think their strategies.