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This paper aims to analyze Hangzhou Urban Brain in responding to COVID-19, including systematically sorting out the development mode, capabilities, composition and application of Urban Brain and exploring its role and effect. This paper tries to provide a reference for other cities' digital infrastructure construction through case analysis.

The authors took Hangzhou Urban Brain as a typical case in urban digital infrastructure construction, and they conducted thorough research on its practice in facing COVID-19. The authors analyzed the key elements of Urban Brain, the application and the evaluation of Urban Brain through literature review, field investigation, questionnaire and interviews.

Hangzhou Urban Brain has been deeply applied in urban management and has a good foundation. Therefore, when the COVID-19 occurred, the Urban Brain played an important role. The detailed practices facing COVID-19 are mainly in five aspects: information collection and analysis, ensuring material supply by government–enterprise collaboration, using AI and Big Data to “Visualize” COVID-19, etc. Moreover, Urban Brain has won high evaluation. However, Hangzhou Urban Brain still has problems like data privacy and security, technical issues, etc.

This case study shows that Hangzhou's experience in Urban Brain construction is worthy of reference and promotion. Firstly, it can strengthen the understanding of digital infrastructure in responding to public health emergencies. Furthermore, it provides a reference for other urban governance worldwide by excavating the role and effect of digital infrastructure in preventing and controlling COVID-19. Thirdly, it explores how to improve the digital infrastructure construction to support public health challenges, which will help the cities grasp the actual value of data and make progress in this field. By this, it can provide references for cities in the world, especially in Asia to achieve sustainable city development.

The purpose of this paper is to timely control of a construction collapse accident effectively during its development process by constructing a stage model and then aligning IT with each stage to help provide the information for decision making.

Through comprehensive literature review, this paper first identifies the various IT applications in on-site construction monitoring and analyzes the existed disaster/crisis stage models, also the stage models are compared with the causation models to illustrate the strengths. Then, a three-step methodology was conducted to develop and apply the conceptual framework, including the construction of the four-stage model; the establishment of the conceptual framework of information technology (IT) support for management of construction accidents (ITSMCA); and a building collapse accident used to illustrate the proposed framework.

The accident is divided into four stages, which are incubation stage, outbreak stage, spreading stage and final stage. The real-time staged information to support decision making, such as the contributing factors of on-site workers, materials, equipment and workplace, can be provided by emerging IT. Therefore, IT is aligned with the variations of contributing factors’ attributes in the four stages and ITSMCA is constructed to help accidents management.

The focus of the framework presented in this paper is that the stage model is effective for it catches the variations of the attributes whose values can be provided by IT rather than research on the practical application of the IT system. The construction and application of the IT system will be the research focus in the future.

This paper presents a stage model of a building collapse accident and gives a comprehensive conceptual framework of ITSMCA, which align the IT with different stages of the collapse accident. The ITSMCA proposes a feasible ideology and practical method for real-time management of the collapse accident during the process.

China and the USA are among the countries where depression is most prevalent. However, the treatment rate of depression is relatively low in these two countries. Negative attitudes toward depression is one of the major contributor to the low-treatment rate. The purpose of this paper is to examine the use of narratives to promote positive attitudes toward depression in China and the USA. In addition, it examines that the psychological mechanisms underlying narrative persuasion in these two different cultural contexts.

An online survey was conducted in both China (n=84) and the USA (n=174). Participants were first asked to complete a short questionnaire about their demographic information and depressive symptoms. They were then asked to read a story featuring a college student with depression. After reading the message, participants completed another questionnaire measuring their attitudes toward depression, transportation (i.e. readers’ involvement with the story), and counterarguing (i.e. the generation of thoughts that dispute the persuasive argument).

Results from a multi-group analysis suggested that although narrative messages had similar persuasive effects for readers from different cultures, the relation between narrative transportation and counterarguing was different. For the US participants, the more they were transported to the story world, the less counter arguments they generated. However, transportation was not negatively associated with counterarguing for Chinese readers.

Findings provide implications for strategically using narrative persuasion to promote positive attitudes toward depression in different cultural contexts.

This study is the first to test the use of narratives to promote positive attitudes toward depression in different cultural contexts.

The purpose of this paper is to evaluate the technical efficiency and production risk in China's rice production and examine the effect of factor market reform on these two agricultural performance metrics.

Using an unbalanced farm-level panel data with 2,193 observations on 329 rice farms from 2004 to 2016, the authors estimate a translog stochastic production frontier model that accounts for both technical inefficiency and production risk. A one-step procedure through the maximum likelihood method that combines the stochastic production frontier, technical inefficiency and production risk functions is used to circumvent the bias problem often found in the conventional two-step model.

Estimation results show that both land and labor market reforms significantly improved the level of technical efficiency over the years, although the effect of land market deregulation is of a much higher magnitude compared to the latter. The land market reform, however, has also increased the risk of production. The authors further find that a higher proportion of hired labor in total labor cost helps lower production risk, while also acting to decrease technical efficiency. Additionally, agricultural subsidies not only increased the output variability but also lowered technical efficiency

First, the authors evaluate the effect of market deregulation on technical efficiency and production risk under a stochastic frontier framework that simultaneously accounts for both production performance metrics, which is important from a statistical point of view. Further, the authors exploit both cross-sectional and time-series variations in a panel setting to more accurately estimate the technical inefficiency scores and production risk for individual farmers, and investigate how the exogenous land and labor market reforms influence these two production performance measures in China's rice farming. This is the first study in the literature to analyze these questions under a panel framework.

Knowledge sharing is a key part of enterprise knowledge management, which helps to develop and use knowledge-related resources and ultimately achieve organizational goals. This study aims to theoretically discuss and empirically investigate the mechanism by which the intention to share knowledge is influenced by employees’ attitudes, social pressure and job characteristics.

Based on the theory of planned behavior, this study uses primary data collected from technology companies in the Yangtze River Delta region of China based on a longitudinal tracking research method of different variables at two different points in time. The data from 287 questionnaires were investigated by hierarchical regression analysis and processed with SPSS 21.0.

The findings suggest that attitudes toward knowledge sharing, perceived social norms and job autonomy positively affect knowledge-sharing intentions. Job autonomy plays a moderating role in the relationship between perceived social norms and knowledge-sharing intentions. Specifically, job autonomy positively moderates the effect of pro-sharing norms on knowledge-sharing intentions and negatively moderates the effects of subjective norms on knowledge-sharing intentions.

This study brings together employees’ and work-related characteristics to systematically explore the influence of employees’ personal evaluations of knowledge sharing. Additionally, by empirically distinguishing between subjective and pro-sharing norms, the study contributes to a better understanding of the antecedents of knowledge sharing and other voluntary behaviors at the individual level.

This paper aims to unravel the technological innovation pattern in China’s aerospace industry. The technological innovation pattern of China’s aerospace industry is identified and its theoretical foundation, structure, philosophy, formation and effects on the development of China’s aerospace industry are explored.

First, the theoretical foundation of synergy innovation of China’s aerospace industry is reviewed to further identify the technological innovation pattern. Second, Chinese ancient philosophy (dialectical thinking) is used to explain the structure and process of synergy innovation in China’s aerospace industry. Third, the formation process of synergy innovation is introduced, and, finally, the effects of synergy innovation are discussed.

The technological innovation pattern of China’s aerospace industry has undergone an evolutionary process. During this process, China’s aerospace firms have formed a unique technological innovation pattern, synergy innovation, under China’s special political and economic background. The synergy innovation has three characteristics, including original, integrated and application-based. The synergy innovation pattern application is one of the most important reasons behind the great achievements of China’s aerospace industry.

A unique technological innovation pattern, synergy innovation, is proposed for the first time. A new perspective for understanding innovation is provided by applying the Chinese dialectical thinking to decipher the philosophy of the technological innovation pattern. Based on this, this paper suggests that China’s aerospace industry should follow the situation and apply the synergy innovation pattern to achieve development and growth. This paper also illustrates a multi-method approach and emphasizes the different levels of organizing for innovation.

The purpose of this paper is to examine the direct effects of Internet use on rural residents' income growth and the indirect effects of increasing their income by promoting rural residents' entrepreneurial and non-agricultural employment.

Regarding the implementation of the rural revitalization strategy, based on the 2016CFPS data, multiple linear regression analysis and mediation effect analysis are used. To decrease the potential endogeneity of the model, we used the instrumental variable in the model.

The results show that: (1) Internet use has a direct effect on rural residents' income growth; (2) rural residents' entrepreneurial or non-agricultural employment affects the mechanism of Internet use and their income growth, so that can perform an indirect promotion effect; (3) the direct promotion effect of Internet use is stronger than the indirect promotion effect of entrepreneurship and non-agricultural employment.

The effect of using Internet for the income growth of Chinese farmers has been confirmed by some scholars, but the specific mechanism is still relatively vague. The originality is to consider the intermediary transmission effect of entrepreneurship and non-agricultural employment in the study of the impact of Internet use on Chinese farmers' income growth, and use the mediation effect model for empirical analysis. The empirical research results further reveal this mechanism.

Consumers' willingness to pay premium (WTPP) for two different types of agricultural brand labels (enterprise and regional), are evaluated through a non-hypothetical Random n-price auction experiment during the online purchase of fresh agricultural products. The purpose of this paper is to evaluate the two WTPP, compare their differences, and explore their sustainability.

Data were collected in July–August 2020 from a sample of 310 consumers in Liaoning Province, China. A nonhypothetical random n-price auction experiment was implemented in a simulated online shopping environment.

The results show that WTPP exists, and WTPP level of regional brand labels is higher than that of enterprise brand labels. Consumers' WTPP is sustainable. Consumers with low WTPP for enterprise brand labels and consumers with high WTPP for regional brand labels have stronger willingness to repurchase.

The results have direct practical implications for developing brand agriculture and encouraging “brand consumption”. The results can provide theoretical reference for policymakers, enlightenment for the development and effective dissemination of agricultural brand labels and important information to e-retailers on how to sale agricultural products with agricultural brand labels.

To the best of the authors' knowledge, no previous study has related WTPP and its sustainability for agricultural brand labels in China. We try to fill a gap in literature on consumers' WTPP for agricultural brand labels. And the authors explore the sustainability of WTPP by analyzing the impact of WTPP on repurchase intention and recommendation intention respectively.

This paper aims to compare the Greek and Chinese rhetorical traditions and explore their influences on today’s business and marketing communication across relevant cultures. In particular, it uses the Aristotelian persuasive orientations as reference points to introduce the Chinese rhetoric, and interpret cultural differences in persuasion from a historical and sociocultural perspective. It has been found that Greek and Chinese rhetoric and persuasion were developed to meet the needs of the social and cultural environments and this rule still applies to today’s business communication. The logical approach has been emphasised in the English rhetorical tradition while both qing (emotional approach) and li (logical approach) are the focus of persuasion in the Chinese tradition. This difference is also the root of cultural differences in modern business communication. Findings from both English and Chinese texts and data are examined to substantiate our focal argument.

The purpose of this paper is to investigate the effects of surface topography, including surface roughness, waviness and taper, on the cavitation of liquid film lubricated mechanical seals (LFL-MS).

A universal governing equation considering cavitation is established, and an equivalent relative density is defined to characterize the cavitation degree. The equation is discretized by the finite volume method and solved by the Gauss–Seidel relaxation scheme.

Results indicate that both radial length and a circumferential width of the cavitation zone and cavitation degree are affected significantly by the waviness amplitude and taper, but the effect of surface roughness is limited.

Effect mechanism of surface topography on the cavitation of LFL-MS is investigated and cavitation degree is reflected by an equivalent relative density. The results further help to comprehensively explore the cavitation mechanism.