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The major aim of this study is to explore the mechanism through which conflict management behavior impacts job satisfaction and innovation performance, and to verify this relationship with the empirical analysis in the context of China.

A model of the relationship among conflict management behavior, job satisfaction and innovation performance was developed and empirically tested. Based on a survey composed of 333 questionnaires designed for Chinese employees, the authors examine the effects of conflict management behavior on job satisfaction and innovation performance in Chinese contexts.

Results show that integrating and compromising conflict management behaviors are positively related to job satisfaction; integrating conflict management behavior is positively related to innovation performance; and avoiding conflict management behavior is negatively related to innovation performance.

This study does not take the industry differences into consideration, though how to maintain job satisfaction and promote innovation might differ from one industry to another. This study only studied on the personal level, therefore future studies can be extended to the team level.

This paper offers some useful suggestions for business managers as well as employees to improve employees' job satisfaction and innovation performance.

Examines the ninth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Women from many cultures have historically been closely tied to the land and the environment through their role as subsistence farmers. But as the more developed nations have shifted to commercial agriculture and improved technology, farming has become a male-dominated industry. China’s shift from traditional family-operated farms to government-controlled collectives required a system of incentives to encourage agricultural labor to remain and prevent mass exodus to the cities. Hukou was created in the 1950s as a system of governmental registration for restricting the internal migration of labor within China, identifying citizens’ residency by place of birth. Residents of rural or urban locations are classified agricultural or nonagricultural labor, respectively. But as China’s industrialization has grown and technology has reduced the need for human agricultural labor, the need and desire for urban employment has intensified. For women, relocating has changed marriage practices, influenced child rearing, and altered their right to land tenure in their home region. This paper examines the role of gender in the changing use of hukou in the development of China, focusing on the impact of women’s patterns of migration on land tenure. Although hukou policies are still changing and there is a lack of data on the most recent changes, initial studies show that there are few who wish to give up their rural hukou in order to obtain urban hukou. Changes over the past decade indicate that rural woman are not only taking on more of the agricultural workload as men are drawn to urban employment, but also that they are less likely to care about environmental degradation in China.

This paper aims to examine the prospect of utilising corporate social responsibility and entrepreneurship (CSRE) as antidotes for mitigating the incidences of poverty, insecurity and underdevelopment in Nigeria. The paper derives its theoretical foundation from the stakeholder, instrumental and legitimacy theories, which all justify the use of CSRE for actualisation of Triple Bottom Line (i.e. the social, economic and environmental concerns of business organisations).

The study used the quantitative research method relying on the use of secondary data published by institutional bodies. The quantitative method entail a systematic extraction of reliable data on corporate social responsibility (CSR), insecurity, poverty and development from the publications of Office of the Millennium Development Goals in Nigeria, CLEEN Foundation, National Bureau of Statistics and Central Bank of Nigeria, respectively. For missing years, the authors improvised using projections as well as proxies. The extracted data, which spanned a period of 13 years, were subjected to econometric tests using SPSS, on the basis of which informed conclusions were drawn.

The first econometric result indicates a negative relationship between gross domestic product and poverty. The second result indicates that there is a positive significant relationship between gross domestic product and total crime rate. The third result indicates that there exists a positive relationship between gross domestic product and unemployment rate. The fourth result indicates that there is a negative relationship between gross domestic product and industrial growth rate. The last result indicates that there is a significant positive relationship between gross domestic product and CSR.

The results of this research have macro-level application, hence the outcomes cannot be narrowed to any particular sector of the economy. A micro-level analysis across diverse sectors of the economy is recommended in future studies. The implication of this empirical research is that policymakers in the Nigerian private sector need to reinvent their CSR programmes as mechanisms for poverty eradication, entrepreneurship development (CSRE), dousing tension of restive youth, empowerment/support for security agencies for better crime prevention and for impacting on sustainable development.

In the face of dwindling financial resources in the treasury of governments, the reinvention of CSRE by private sector organisations as complementary mechanisms for combating social problems is becoming acceptable in both developed and developing nations. This paper therefore boldly recommends that policymakers reinvent CSRE as development mechanisms through a sound partnership between government, advocacy groups and business corporations in Nigeria.

The paper explicates that CSR can indeed be reinvented by corporations as part of their social concerns to their operating environment instead of leaving all social problems to governments.

The research lends credence to stakeholder, instrumental and legitimacy theories of CSR. It also justifies the plausibility of CSRE, a novel concept being promoted in this research.

Despite the present focus on improving the resilience of homes to flooding in UK flood risk management policy and strategy, a general measurement framework for determining levels of flood resilience in UK homes does not exist. In light of this, the aim of this study was to develop a means to evaluate the levels of resilience in flood-prone homes from the perspective of homeowners'.

A quantitative research methodology was employed, with empirical data obtained through a postal survey of homeowners who had experienced flooding. The responses received were then analysed using a combination of statistical techniques including agreement/reliability tests and multiple regression to develop a model of flood resilience.

A predictive model was developed that allows the resilience of a property to be quantified and measured as perceived by homeowners. The findings indicate that the main factors found to influence the level of flood resilience were: property type (PT), presence of cellar/basement (C/B), property wall type (PWT), property ground floor type (PGFT), kitchen unit type (KU), flood experience (FE), flood source (FS) and flood risk level (FRL).

The resulting model provides unique insights into resilience levels to the benefit of a range of stakeholders including policy makers (such as Defra/Environment Agency), Local Authority flood teams, property professionals, housing associations and homeowners. As a result, homeowners will be in a better position to determine which interventions should be prioritised to ensure better flood protection.

This is the first study of its kind to have rigorously quantified the level of flood resilience for individual homes. This study has quantified the effectiveness of individual resilience measures to derive the first reliable means to measure the overall levels of resilience at the individual property level. This is regarded as a significant contribution to the study of flood risk management through the quantification of resilience within individual UK homes, enabling the prioritisation of interventions and the overall monitoring of resilience.

Nowadays, artificial intelligence (AI) technology has demonstrated extensive applications in the field of art design. Attribute editing is an important means to realize clothing style and color design via computer language, which aims to edit and control the garment image based on the specified target attributes while preserving other details from the original image. The current image attribute editing model often generates images containing missing or redundant attributes. To address the problem, this paper aims for a novel design method utilizing the Fashion-attribute generative adversarial network (AttGAN) model was proposed for image attribute editing specifically tailored to women’s blouses.

The proposed design method primarily focuses on optimizing the feature extraction network and loss function. To enhance the feature extraction capability of the model, an increase in the number of layers in the feature extraction network was implemented, and the structure similarity index measure (SSIM) loss function was employed to ensure the independent attributes of the original image were consistent. The characteristic-preserving virtual try-on network (CP_VTON) dataset was used for train-ing to enable the editing of sleeve length and color specifically for women’s blouse.

The experimental results demonstrate that the optimization model’s generated outputs have significantly reduced problems related to missing attributes or visual redundancy. Through a comparative analysis of the numerical changes in the SSIM and peak signal-to-noise ratio (PSNR) before and after the model refinement, it was observed that the improved SSIM increased substantially by 27.4%, and the PSNR increased by 2.8%, serving as empirical evidence of the effectiveness of incorporating the SSIM loss function.

The proposed algorithm provides a promising tool for precise image editing of women’s blouses based on the GAN. This introduces a new approach to eliminate semantic expression errors in image editing, thereby contributing to the development of AI in clothing design.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

The COVID-19 pandemic has substantially affected China’s tourism industry. Tourism small- and medium-sized enterprises (SMEs), with limited crisis response ability, might be difficult to recover after the pandemic. Regarding the impacts of the pandemic on rural tourism, income for rural attraction sites was almost zero; sightseeing, agri-tourism activities were ceased; and large amount of rural bed-and-breakfasts (B&Bs) faced business closure. However, through three cases, our study found that through either content innovation or process innovation, some B&Bs are able to recover speedily from the pandemic and develop sustainably. These innovations are important for their business strategy adjustment. Innovation creates more value for tourists and stakeholders by developing new service products or adjusting existing products. This chapter discusses the linkages between innovation and leadership. Through the investigation and analysis of three cases, the researchers found that the advantages of transformational leadership were reflected in the post-crisis management in different ways and effectively improved the innovation ability and sustainable development of post-crisis organizations. This study has enriched the literature on transformational leadership and post-crisis recovery of small tourism enterprises and has practical reference value for managers of small rural tourism companies.

Based on climate issues and carbon emissions, this study aims to promote low-carbon consumption and compel consumers to actively shift to energy-saving appliances. In this big data era, online reviews in social and electronic commerce (e-commerce) websites contain valuable product information, which can facilitate firm business strategies and consumer comparison shopping. This study is designed to advance existing research on energy-saving refrigerators by incorporating machine learning models in the analysis of online reviews to provide valuable suggestions to e-commerce platform managers and manufacturers to effectively understand the psychological cognition of consumers.

This study proposes an online e-commerce review mining and management strategy model based on “data acquisition and cleaning, data mining and analysis and strategy formation” through multiple machine learning methods, namely, Bayes networks, support vector machine (SVM), latent Dirichlet allocation (LDA) and importance–performance analysis (IPA), to help managers.

Based on a case study of one of the largest e-commerce platforms in China, this study linguistically analyzes 29,216 online reviews of energy-saving refrigerators. Results indicate that the energy-saving refrigerator features that consumers are generally satisfied with are, in sequential order, logistics, function, price, outlook, after-sales service, brand, quality and space. This study also identifies ten topics with 100 keywords by analyzing 18 different refrigerator models. Finally, based on the IPA, this study allocates different priorities to the features and provides suggestions from the perspective of consumers, the government and manufacturers.

In terms of limitations, future research may focus on the following points. First, the topics identified in this study derive from specific points in time and reviews; thus, the topics may change with the text data. A machine learning-based online review analysis platform could be developed in the future to dynamically improve consumer satisfaction. Moreover, given that consumers' needs may change over time, e-commerce platform types and consumer characteristics, such as user profiles, can be incorporated into the model to effectively analyze trends in consumers' perceived dimensions.

This study fills the gap in previous research in this field, which uses small-sample data for qualitative analysis, while integrating management ideas and proposes an online e-commerce review mining and management strategy model based on machine learning methods. Moreover, this study considers how consumers' emotional and thematic preferences for products affect their purchase decision-making from the perspective of their psychological perception and linguistically analyzes online reviews of energy-saving refrigerators using the proposed mining model. Through the improved IPA model, this study provides optimizing strategies to help e-commerce platform managers and manufacturers.

The purpose of this paper is to solve the comprehensive evaluation of the equipment maintainability level based on grey system theory, and make an analysis of the corresponding influencing factors and their prioritization process.

Considering the diversity, uncertainty and small sample size of the influencing factors of the equipment maintainability level, a multilayer evaluation attribute system is set up, and the grey relational method is utilized to assess the equipment's comprehensive maintainability. First, the bottom layer relational coefficient and weighted relational degree are analyzed, and, by means of the focus of relational degree through the bottom layer to top layer, the general evaluation of the equipment maintainability is carried out. Second, the equipment maintainability level and its influencing factors model, i.e. GM(1,N) model are set up, and the prioritization of the influencing factors is achieved through the comparison of the size of the model drive coefficients. Finally, the practical example calculation results show that this method has not only realized a sensible and effective evaluation of the equipment maintainability level, but also provided a prioritization of the influencing factors, which helps to focus attention on the major influencing factors and make this method of significant engineering application value in the improvement of the equipment maintainability level.

The modeling of electronic equipment maintainability level and analysis of its corresponding practical example prove that grey system theory could not only perform a comprehensive evaluation of the equipment maintainability level, but also provide a quantitative analysis of its various influencing factors, whereas, other methods such as fuzzy mathematics, etc. can only make a general evaluation of the equipment maintainability level.

This paper has realized an integral evaluation of the equipment maintainability level and has made an analysis of the prioritization of its various influencing factors. These investigation results could be introduced as a promising innovative idea in the evaluation of the equipments' other performances and the prioritization of its various corresponding influencing factors.

Considering the diversity and uncertainty of influencing factors of the equipment maintainability level, this paper has realized a multilayer evaluation attribute system to perform a comprehensive evaluation of equipment maintainability level by means of weighted grey relational degree model. Furthermore, the prioritization of its various influencing factors is achieved based on the GM(1,N) model.