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Collaboration is a common phenomenon in human society. The best way of collaborations can make the group achieve the best interests. Because of the low cost and high repeatability of simulation, it is a good method to explore the best way of collaborations by means of simulation. The traditional simulation is difficult to adapt to the crowd intelligence network simulation, so the crowd collaborations simulation is proposed.

In this paper, the atomic swarm intelligence unit and collective swarm intelligence unit are proposed to represent the behavior of individuals and groups in physical space and the interaction between them.

To explore the best collaboration mode of the group, a framework of crowd collaborations simulation is proposed, which decomposes the big goal into the small goals by constructing the cooperation chain and analyzes the cooperation results and feeds them back to the next simulation.

Two kinds of swarm intelligence units are used to represent the simulated individuals in the group, and the pattern is used to represent individual behavior. It is suitable for the simulation of collaboration problems in various types and situations.

This study investigates how individuals' self-awareness (specifically, private and public self-awareness) and environment-awareness (perceived expertise, similarity and familiarity) shape herd behavior, encompassing discounting one’s information and imitating others. Drawing from latent state-trait theory, this research aims to discern the impact of these factors on purchase intention and behavior.

Longitudinal data from 231 users in Xiaohongshu, China’s leading social commerce platform, were collected to test the proposed model and hypotheses.

The findings from this study show that private self-awareness negatively influences discounting one’s own information and imitating others. Public self-awareness positively affects imitating others, while it does not affect discounting one’s own information. Perceived expertise diminishes discounting one’s own information but does not significantly affect imitating others. Perceived similarity and perceived familiarity are positively related to discounting one’s own information and imitating others. The results confirm different interaction effects between self-awareness and environment-awareness on herd behavior.

First, this contributes back to the latent state-trait theory by expanding the applicability of this theory to explain the phenomenon of herd behavior. Second, this study takes an important step toward theoretical advancement in the extant literature by qualifying that both self- and environment-awareness should be considered to trigger additional effects on herd behavior. Third, this study provides a more enlightened understanding of herd behavior by highlighting the significance of considering the interplay between self- and environment-awareness on herd behavior. Finally, this study also empirically confirms the validity of classifying self-awareness into private and public aspects.

The paper aims to build a new objective evaluation method of fabric pilling by combining an integrated image analysis technology with a deep learning algorithm.

Series of image analysis techniques were adopted. First, a Fourier transform transformed images into the frequency domain. The optimal resolution matrix of an exponential high-pass filter was determined by combining the energy algorithm. Second, the multidimensional discrete wavelet transform determined the optimal division level. Third, the iterative threshold method was used to enhance images to obtain a complete and clear pilling ball images. Finally, the deep learning algorithm was adopted to train data from pilling ball images, and the pilling levels were classified according to the learning features.

The paper provides a new insight about how to objectively evaluate fabric pilling grades. Results of the experiment indicate that the proposed objective evaluation method can obtain clear and complete pilling information and the classification accuracy rate of the deep learning algorithm is 94.2%, whose structures are rectified linear unit (ReLU) activation function, four hidden layers, cross-entropy learning rules and the regularization method.

Because the methodology of the paper is based on woven fabric, the research study’s results may lack generalizability. Therefore, researchers are encouraged to test other kinds of fabric further, such as knitted and unwoven fabrics.

Combined with a series of image analysis technology, the integrated method can effectively extract clear and complete pilling information from pilled fabrics. Pilling grades can be classified by the deep learning algorithm with learning pilling information.

Aiming to investigate the direct and indirect effects of community involvement on residents’ life satisfaction, this study builds a conceptual framework through the mediation effect of perceived impacts and trust in government based on social exchange theory. The moderating effect of place attachment among these variables is proposed and empirically examined.

The conceptual model and causal relationships were estimated by adopting structural equation modeling, a serial mediation and moderation analysis. A total of 362 valid questionnaire data from residents in five rural tourism communities of China were collected and used for data analysis.

The results indicate that residents’ community involvement directly influences their life satisfaction and indirectly through perceived benefits and trust in government. Place attachment is also found to moderate the effect of community involvement on residents’ life satisfaction.

This study tests the effect of community involvement on residents’ life satisfaction that evolves from linking community involvement to perceived tourism impacts and trust in government to increase life satisfaction within the rural tourism context. It simultaneously detects place attachment as a moderating variable. The findings of this study can provide valuable insights for rural tourism managers to improve residents’ life satisfaction.

为了探究社区参与对居民生活满意度的直接和间接影响, 本研究基于社会交换理论构建了通过感知影响和政府信任作为中介效应的理论模型。同时, 提出并实证检验了地方依恋在这些变量关系中的调节作用。

采用结构方程模型和一系列的中介和调节分析来估计概念模型和变量之间的因果关系。从中国五个乡村旅游社区收集了362份有效问卷并进行数据分析。

结果显示, 居民的社区参与不仅直接影响他们的生活满意度, 并且通过感知收益和政府信任对他们的生活满意度产生间接影响。研究还发现,地方依恋可以调节社区参与对居民生活满意度的影响关系。

本研究探讨了乡村旅游可持续发展中社区参与对生活满意度的影响, 这种影响从链接社区参与与旅游感知效应到政府信任, 从而提高生活满意度,同时检验了地方依恋的调节作用。本研究能够为乡村旅游管理者提高居民生活满意度提供有价值的建议。

Con el objetivo de investigar los efectos directos e indirectos de la participación de la comunidad en la satisfacción con la vida de los residentes, este estudio construye un marco conceptual a través del efecto mediador de los impactos percibidos y la confianza en el gobierno basado en la teoría del intercambio social. Se propone y examina empíricamente el efecto moderador del apego local entre estas variables.

La relación causal entre el modelo conceptual y la estructura se estima a través del modelo de ecuación estructural, y se lleva a cabo una serie de análisis de mediación y regulación. Los datos fueron recolectados de 362 cuestionarios válidos de cinco comunidades de turismo rural en China.

Los resultados muestran que la participación comunitaria de los residentes influye directamente en su satisfacción con la vida, e indirectamente a través de sus ingresos percibidos y la confianza en el Gobierno. El estudio también encontró que el apego local puede regular la participación de la comunidad en la satisfacción de los residentes con la vida.

Este estudio explora el impacto de la participación comunitaria en la satisfacción con la vida en el desarrollo sostenible del turismo rural, que va desde la vinculación de la participación comunitaria y la percepción turística hasta la confianza del Gobierno, mejorando así la satisfacción con la vida. Al mismo tiempo, se examina la función reguladora del apego local. Los resultados de este estudio proporcionan información de referencia valiosa para que los administradores del turismo rural mejoren la satisfacción de los residentes con la vida.

The purpose of this study is to analyze the effect of foreign direct investment (FDI) on pollution emissions and how environmental regulation affects this relationship.

In the empirical research, the authors selected panel data for 30 provinces in China from 2005 to 2019 as samples. First, the authors used the instrumental variable method to verify the existence of the above hypotheses in China. Then, the authors analyzed the moderating effect of different types of environmental regulations on the environmental effects of FDI. Next, in further discussion, the authors analyzed the difference between the environmental effect and the moderating effect in different time periods and regions, respectively. Finally, the authors discussed whether the different intensities of environmental regulations lead to the transfer effect of FDI in choosing investment destinations.

The result shows that FDI can help reduce pollution emissions and create a “pollution halo” effect, which is enhanced by command-and-control regulation but suppressed by market-based incentives. The heterogeneity analysis reveals that the 18th National Congress of the Communist Party has weakened the pollution halo effect of FDI, while the environmental effect of FDI in the eastern region is not significant, but in the middle and western regions, there is a significant pollution halo effect and a positive moderating effect of environmental regulations. Finally, further analysis reveals that FDI has a transfer effect under command-and-control environmental regulations.

First, the main purpose of this paper is to study the relationship between FDI and pollution emissions from the perspective of heterogeneous environmental regulation. Therefore, there is no detailed discussion on their effect mechanism of them. Second, limited by data, the authors adopt the single index to measure the stringency index of command-and-control and market-based incentive environmental regulations in China. The single index may not be able to fully reflect the intensity of regional environmental regulation, so the construction of a composite indicator is necessary. These shortcomings are the focus of the authors' future research.

Under the guidance of high-quality development, the conclusions above can provide reference for adjusting FDI policies and improving environmental regulation policies.

The innovations in this paper can be summarized as the following four dimensions: First, the authors use the instrumental variable (IV) method to address endogeneity in the relationship between FDI and pollution emission, which can further ensure the robustness of the research results and increases the credibility of the paper. Second, the authors distinguish between two types of environmental regulations to investigate their moderating effect on the environmental impact of FDI. Third, the authors consider the temporal and spatial heterogeneity of both the environmental effects of FDI and the moderating effect of regulation. Last, the authors analyze the spatial spillover of environmental regulation through the study of the transfer effect.

This paper aims to design a novel TiC/GTD222 nickel-based high-temperature alloy with excellent hot corrosion resistance by incorporating appropriate amounts of C, Al and Ti elements into GTD222 alloy.

The composite material was prepared using the selective laser melting (SLM) technology, followed by a hot isostatic pressing (HIP) treatment. Subsequently, the composite underwent a hot corrosion test in a 75% Na₂SO₄ + 25% NaCl mixed salt environment at 900 °C.

The HIP-SLMed TiC/GTD222 composite exhibits a relatively low weight loss rate. First, the addition of alloying elements facilitates the formation of multiple protective oxide films rich in Al, Ti and Cr. These oxide films play a crucial role in enhancing the material’s resistance to hot corrosion. Second, the HIP treatment results in a reduction of grain size in the composite and an increased number of grain boundaries, which further promote the formation of protective films.

The hot corrosion behavior of the TiC/GTD222 nickel-based composite material prepared through SLM and HIP processing has not been previously studied. This research provides a new approach for designing nickel-based superalloys with excellent hot corrosion resistance.

This study aims to elaborate on the microencapsulation of the plant extract (PE, from Camellia sinensis leaf, clover flower and cocoa flower) and the preparation of a slow-release lining fabric loading the PE microcapsule.

PE was microencapsulated into polyvinyl alcohol (PVA) shells through interfacial polymerization. The morphology, thermal stability, slow-release property and drug loading ratio of the PVA/PE microcapsules were characterized to ensure the availability in coating finishing. To find the optimum parameters, the composite fabrics were prepared from non-woven fabrics coated by calcium alginate hydrogel, which glued mass fractions of microcapsules and dried in different ways. To evaluate the effectiveness, a lipase enzyme activity test was conducted.

Under optimal conditions, the PVA/PE microcapsules with smooth surface have an average particle size of 14.5 um, and they are expected to reach a loading ratio of 38.5 per cent while remaining stable under 220°C. Given a microcapsule of 4 per cent (of the mass), the composite fabric has a good hand feeling, being prepared through calcium chloride coating. It is shown that the inhibition ratios of the microcapsules and composite fabrics on lipase are 31.3 and 21.0 per cent, respectively.

The composite fabric could be prepared through the other finishing methods such as padding and printing. In addition, the release mechanism of the composite could be studied.

This study provided a simple and effective way to prolong the duration of PE. This way was conductive to protect environmental sensitive PEs from being destroyed in compositing processes.

Preparing composite fabrics for transdermal delivery system was novel and other kind of plant extracts could be used in this way.

In the aftermath of the global economic crisis, the pursuit of new perspectives and different growth models is imperative. One of the most significant trends of our time is the rise of Asia in the world economy. After centuries of Western economic dominance, China, India, and the rest of the East, alongside emerging economies more broadly, are beginning to challenge the West for positions of global industry leadership and underlying managerial philosophies and perspectives. In this paper, I review some key philosophical insights from Asia that have underpinned the success of many Asian businesses for generations, hoping that it will encourage more efforts – conceptually, theoretically, and empirically – leading the discourse on fresh new perspectives on business in emerging economies in general, and on Asian management in particular.

The purpose of the paper is to study the problem of socio-economic inequality from the positions of the neo-institutional economic theory, to determine the causal connections of emergence and manifestation of this problem as a barrier on the path of sustainable development and to develop institutional measures for its solution based on state regulation.

The scientific and methodological basis of this research is based on regression analysis, which is used for creating and analyzing the regression curves. For the fullest coverage of countries of the world and provision of high representation of the research results, the objects of the research are countries from each category that were distinguished according to their position in the global rating of countries as to the index of sustainable development, calculated and compiled by Sustainable Development Solutions Network (2019).

It is substantiated that financial inequality is a result of violation of the principles of social justice—primarily, in the labor market. The institutional approach, which is used for studying the problem of socio-economic inequality, allows presenting this problem as a result of the action of social institutes with own system of rules and norms and offering the institutional measures of regulation, which are to influence the rules and norms in society in the labor market. Due to this, the object of regulation is not the consequence but the reasons—and better and long-term results are achieved.

It is proved that social justice is the key condition of overcoming socio-economic inequality, formation of inclusive society and achievement of balance of the global economic system—thus opening a path to sustainable development. Four “institutional traps” are determined, which establish the practices of violation of the principles of social justice in the system of norms and rules of behavior of the labor market's participants. The authors determine perspectives and directions and offer measures of state regulation of the institutes of socio-economic inequality for its overcoming and provision of sustainable development of national economy and the global economy.

The purpose of this paper is to discuss how the configurations of short life cycle, low quality, design and price, influence customer purchase intention in fast fashion and high technology industries in China.

The traditional thinking is that products with high quality and low price will win more customers. However, the authors can notice that high quality products usually have high cost. Therefore, it is necessary to do more research on how customers can accept low quality products. The authors take fast fashion products and smart phones as empirical studies, collecting data from customer’s online survey. Based on the methodology of fuzzy set qualitative comparative analysis, the authors analyse the relationship between the factors of short life cycle, low quality, design and price and influence customer purchase intention.

The authors find that price is the most important influencing factor. Low price is a strong competitive factor in the market. As to low quality products, low price can be achieved relatively more easily than with high quality products, resulting from relatively poorer raw material or configurations. Hence the connection between quality and price may give an idea to enterprises that customers will accept low quality products with low price. Moreover, according to the research, different generations are equally affected by the low price condition, regardless of customer gender and household income.

Because the study only focuses on fast fashion and smart phones industries, future work needs to replicate this study with individual data for different industries and with alternative methods to reinforce the confidence in the research. Meanwhile , this research studied mainly the customer perspective, it would be desirable to extend the study to the enterprise perspective and find out the difficulties that limit them in using low quality products to meet market needs. This may revel some cultural differences in purchase behavior among different countries and the discussed industries can be expanded to a larger area.

The study offers a number of managerial implications. With the rapid changes in people’s aesthetic sense and developing high-tech, it is more and more necessary for companies to think about how to win more customers and earn more profits. Low quality products have advantages as they will lower companies’ costs in many dimensions, improving the speed of supply. It helps firms to take low quality products into consideration and think whether they will influence different aspects of the company assistance firms to get a deeper understanding of customer psychology and make better decisions on their products.

The paper fills the gap in the research field by exploring how consumer behavior is affected by different conditions.