Internet technology has given birth to continuous changes in business model and format innovation. With increasingly critical consumers, blowout development model and format innovation, enterprises are increasingly aware of the importance of customer participation in service innovation. At the same time, the development of information technology provides convenient conditions for communication between enterprises and customers, and online virtual community also provides a platform for customers to participate in the process of enterprise service innovation in an instant. Based on the theory (...) of customer participation, knowledge transfer and service innovation performance, this paper explores the influence mechanism of customer participation in virtual community on service innovation performance, and analyzes the mediating role of knowledge transfer. Through the analysis of the results of the questionnaire, the relevant hypotheses are verified. The results show that customer participation in virtual community has a positive impact on service innovation performance. Customer participation helps enterprises obtain relevant knowledge such as customer needs and reduce barriers to knowledge sharing. In addition, enterprises will acquire customer knowledge about new products, which provides the possibility for the development of new products and services, thereby enhancing the enterprises’ service innovation performance. Knowledge transfer plays a part of mediating role between customer participation and service innovation performance. In the process of enterprises’ service innovation, customers mainly participate in the enterprise by means of knowledge transfer and help the enterprise improve service innovation performance. (shrink)

In 2016 the Chinese government initiated a nationwide campaign aiming to eliminate poverty in China by 2020. Over 20% of listed firms in China have made significant contributions to the campaign. Using hand-collected data on listed firms’ contributions to the campaign and multivariate analyses, we examine whether managers’ and politicians’ personal incentives play an important role in firms’ contributions to the campaign. The results show that firms are more likely to contribute if they are state-owned and managers are appointed by (...) governments, if managers have a higher risk of being targeted in a concurrent anti-corruption campaign, if the political leaders in their province are new or intend to seek promotion, and if managers or directors have experienced poverty in their early life. The results suggest that it is important to consider managers’ and politicians’ personal incentives in CSR activities that could have a grand social impact. (shrink)

The study aims to explore the psychology and behavior of employees in organizations in enterprise innovation. Based on the human resource management system, organizational psychological ownership, and other related theories, the transformational leaders and their advice behavior in start-ups are taken as the research object. The data obtained from the questionnaire as the research samples. Second, the influence and intermediary effect of employees’ organizational psychological ownership on colleagues, leaders, and the whole enterprise are discussed, and the corresponding conclusions are drawn. (...) The results show that the path coefficients of transformational leaders of start-up enterprises for employees’ advice to their superiors and their peers are 0.28 and 0.31, respectively, and p < 0.01. Therefore, transformational leadership has a positive impact on both elements. In the relationship between organizational psychological ownership and employee creativity, the r value is 0.34 and p < 0.01. This shows that organizational psychological ownership positively correlates with employees’ creativity. In addition, corporate support can mediate employees’ behavior and psychological ownership in the organization and has a positive correlation in support, identity, and care. Therefore, the impact of organization-employees relations on employees’ innovation behavior is discussed based on organizational psychology and culture, which can improve employees’ subjective initiative for work and provides ideas for the management and development of start-ups. (shrink)

Counterproductive work behavior is one of the most common behavioral decisions of employees in the workplace that negatively impacts the sustainable development of enterprises. Previous studies have shown that individuals make CWB decisions for different reasons. Some individuals engage in CWB due to cognitive factors, whereas others engage in CWB in response to leadership behaviors. The conservation of resources theory holds that individuals have the tendency to preserve, protect and acquire resources. When experiencing the loss of resources, individuals will show (...) irrational and aggressive behaviors in order to regain resources. When obtaining resources, individuals’ tension and pressure will be relieved. To maintain or continue obtaining resources, individuals will show more positive work attitudes and behaviors. Therefore, using the COR theory as the main theoretical framework, this study explores a serial mediation model between family supportive leadership and CWB through work-family conflict and moral disengagement, moderated by personal life attribution. A three-wave survey of 251 medical workers from three hospitals found that family supportive leadership can reduce employees’ perceived work-family conflict, which leads to less moral disengagement, resulting in lower CWB. Personal life attribution strengthens the negative indirect effect of family supportive leadership on CWB by reinforcing the negative association between family supportive leadership and work-family conflict. This study uses the COR theory to explore the mechanism and boundary conditions of family supportive leadership and CWB from the perspective of negative work-family relationship, which enrichis the research content of existing theories. Moreover, this study has important guiding significance for managers to take effective measures to reduce CWB. (shrink)

Based on the survey data of 839 consumers in Jiangsu and Anhui provinces, this article explores the formation mechanism and internal driving force of Chinese consumers’ green consumption, and clarifies the effect of consumers’ pro-environmental awareness components on green consumption and the moderating effect of perceived cost, policy incentives, and face culture. The results of the study show that pro-environmental awareness is the basis for green consumption. However, groups with pro-environmental awareness do not choose green consumption for sure. The transformation (...) from awareness to behavior is also affected by many factors. Consumers’ perceived cost is an important obstacle to green consumption, while the face culture in Chinese society has a certain role in promoting green consumption. In this study, government policy incentives have no significant direct impact and moderating effect on consumers’ green consumption. (shrink)

Considering the current global trend in the digital economy, Facebook commerce is an indispensable component of today’s digital commerce. The purpose of this research is to test the proposed model to validate current theories that evaluate the relationships between online trust and customer f-commerce usage intentions. It has also been proposed to improve usage intention by integrating the relationship between perceived value and trust in electronic commerce. The data was gathered using a structured questionnaire and analyzed with structural equation modeling. (...) In this study, gender has been discussed as a moderating factor. The findings describe the positive relationships that exist between antecedents of trust and user intentions toward f-commerce. Furthermore, according to the findings of the study, females are more concerned than males about developing their intentions to utilize f-commerce for online shopping. Theoretical and practical implications are also presented in this study. (shrink)

This study aimed to explore the influence the value modularity and a firm’s innovation performance, directly and indirectly, using knowledge management as mediating variable. Moreover, in this study, we used the resource integration ability as a moderator between the relationship value modularity and firm innovation performance. We collected data from the Chinese state-owned and state-controlled high-tech firms from 2011 to 2018. In this study, we used the gray comprehensive evaluation method to test the degree of value modularity, and hierarchical regression (...) analysis is used to analyze the relationship among variables. The outcomes of this study indicate that value modularity and firm innovation performance has inverted U-shaped and significant association. Similarly, results also confirm that knowledge acquisition and knowledge internalization mediate the relationship between value modularity and firm innovation performance. The finding of this research also confirms that resource integration ability negatively affects the relationship between value modularity and firm innovation performance. This paper enriches the research of the value modularity and gives certain inspiration to knowledge management. At the end of this study, we also suggest some significant practical implications. (shrink)

The innovation activities of new generation of employees have the characteristics of double network embeddedness, and the degree of psychological contract fulfilment is an important factor that affects their innovation performance. Based on the attributes of internal network embeddedness and external network embeddedness, this paper builds a hypothesis model of the relationship between network embeddedness, psychological contract and innovation performance. It explores the impact and mechanism of network embeddedness on the innovation performance of new generation of employees and the mediating (...) role of the psychological contract. Empirical research shows that network embeddedness has a positive effect on the innovation performance of new generation of employees. The psychological contract has a mediating role in network embeddedness on innovation performance of new generation of employees. These conclusions continue and deepen the research on network embeddedness and innovation performance and further enrich and expand the application of social networks in the research of individual innovation performance of new generation of employees. (shrink)

In this study, we aimed to address three comments proposed by Ogihara on a recent study where we found that unique names in China have become increasingly popular from 1950 to 2009. Using a large representative sample of Chinese names, we replicated the increase in uniqueness of Chinese names from 1920 to 2005, especially since the 1970s, with multiple uniqueness indices based on name-character frequency and name-length deviation. Over the years, Chinese characters that are rare in daily life or naming (...) practice were more often used in given names, and the length of given names became more deviant from typical practice. Taken together, these findings not only reconfirmed the increasing prevalence of unique names but also demonstrated the validity of various indices in assessing name uniqueness in China. (shrink)

In the education context, The Motivational Strategies for Learning Questionnaire is extensively used in assessing self-regulated learning strategies. However, more research is needed to address whether it is applicable for distance education. The exploratory and confirmatory factor analysis were used to test the Chinese version of the Motivated Strategies for Learning Questionnaire part-B for distance learning using two samples totalling 385 participants. This paper substantiates MSLQ-B-DL's criterion-related, convergent, and factorial validity, as well as its internal consistency, in China. Specifically, the (...) concurrent validity of the MSLQ-B-DL was shown from three aspects: the negative correlation of MSLQ-B-DL with trait procrastination; the positive correlation of MSLQ-B-DL with self-control; and the positive correlation of MSLQ-B-DL with instrumental help-seeking and the former's negative correlation with help-seeking avoidance and executive help-seeking. Finally, this study highlights the MSLQ-B-DL's validity and reliability in evaluating the learning strategies in adult distance education in China. (shrink)

Aiming at suppressing harmful effect for building structure by surface motion, semiactive nonsmooth control algorithm with Deep Learning is proposed. By finite-time stable theory, the building structure closed-loop system’s stability is discussed under the proposed control algorithm. It is found that the building structure closed-loop system is stable. Then the proposed control algorithm is applied on controlling the building structural vibration. The seismic action is chosen as El Centro seismic wave. Dynamic characteristics have comparative analysis between semiactive nonsmooth control and (...) passive control in two simulation examples. They demonstrate that the designed control algorithm has great robustness and anti-interference. The proposed control algorithm is more effective than passive control in suppressing structural vibration. (shrink)

Considering the effect of the local topology structure of an edge on cascading failures, we investigate the cascading reaction behaviors on scale-free networks with respect to small edge-based initial attacks. Our aim is to explore the relationship between some parameters and universal robustness characteristics against cascading failures on scale-free networks. We find by the theoretical analysis that the Baraba'si-Albert (BA) scale-free networks can reach the strongest robustness level against cascading failures when α + β = 1, where the robustness is (...) quantified by a transition from normal state to collapse. And the network robustness has a positive correlation with the average degree. We furthermore confirm by the numerical simulations these results. (shrink)

With the increasing use of technology in nursing, how nurses perform practice care has changed, inevitably leading to ethical concerns that differ from original ethical norms in nursing. Studies have focused on ethical issues in health informatics from clinicians’ or patients’ perspectives, while nurses’ perspective is needed. This paper conducts a theoretical study on ethical predicaments that arise in nursing informatics from nurses’ perspectives. Why and how these predicaments emerge are elaborated. Also, this paper offers countermeasures in realistic contexts from (...) technique, education, and leadership aspects. Collaborations between governments, administrators, educators, technicians, and nurses are needed to step out of these predicaments. (shrink)

Social-bots-mediated information manipulation is influencing the public opinion environment, and their role and behavior patterns in news proliferation are worth exploring. Based on the analysis of bots' posting frequency, influence, and retweeting relationship, we take the diffusion of The New York Times' coverage of Xinjiang issue on the overseas social platform Twitter as an example and employ the two-step flow model. It is found that in the role of second-step diffusion, unlike posting news indiscriminately in first-step diffusion, social bots are (...) more inclined to postcontroversial information in second-step diffusion; in terms of diffusion patterns, although social bots are more engaged in first-step diffusion than in second-step diffusion and can trigger human users to retweet, they are still inferior to humans in terms of influence. (shrink)

This study explores how firms build organizational resilience (OR) through constructing their corporate social responsibility (CSR) practices. Based on the optimal distinctiveness theory, we propose that a firm may be able to simultaneously conform in scope and differentiate in emphasis in its CSR practices to meet the institutional and strategic needs of CSR, thus building OR. Using data collected from 574 Chinese listed firms during the unique setting of the COVID-19 pandemic, we provide evidence that CSR scope conformity enhances organizational (...) stability, whereas CSR emphasis differentiation enhances organizational flexibility during a transboundary pandemic period. Furthermore, firm competitive position strengthens the positive relationship between CSR scope conformity and organizational stability. Market concentration strengthens the positive relationship between CSR emphasis differentiation and organizational flexibility. This study contributes to the CSR and organizational resilience literature by highlighting the influence of CSR optimal distinctiveness on OR. (shrink)

The metaverse concept constructs a virtual world parallel to the real world. The social economic dynamics model establishes a systematic model for social economic dynamics simulation that integrates macroeconomy and microeconomy based on modeling mechanism of the new theory of value by analogy with Newtonian mechanics and the modeling approach of Agent-based computational economics. This article describes the SED model’s modeling mechanisms, modeling rules, and behavior equations. At the same time, this article introduces the methods, testing standards, and some typical (...) cases about using the SED model to generate the economic digital twin systems. By doing so, we hope to demonstrate that the method of computer simulation experiment based on the SED model is a scientific empirical method, which has more advantages than the existing empirical research methods in economics. The SED model, which can be fully used to form an economic engine and construct a virtual economic system by digital twin method, can be integrated with the extant physical engine in the metaverse concept to build a virtual world consisting of physics, economy, culture, and politics that is close to and coexists with reality. (shrink)

The New York Times receives more citations from academic journals than the American Sociological Review, Research Policy, or the Harvard Law Review. This article explores the reasons why scholars cite the NYT so much. Reasons include studying the newspaper itself or New York City, establishing public interest in a topic by referencing press coverage, introducing specificity, and treating the NYT very much like an academic journal. The phenomenon seems to reflect a mode 2 type of scholarship produced in the context (...) of application, organizationally diverse, socially accountable, and aiming to be socially useful as well as high quality as assessed by peers. (shrink)

This book provides practical and research-based chapters that offer greater clarity about the particular kinds of teacher reflection that matter and avoids talking about teacher reflection generically, which implies that all kinds of reflection are of equal value.

Employees' knowledge hiding behavior has an essential inhibitory impact on organizational innovation and employee knowledge sharing. Accordingly, studying the antecedents and influencing mechanisms of employees' knowledge hiding behavior is quite necessary. In the perspective of leader–member exchange theory and resource conservation theory, the leaders' bias tendency will lead to the workplace marginalization perception of some employees and promote the generation of employees' knowledge hiding behavior. Thus, this research is intended to discuss the influence of leaders' bias tendency toward employees' knowledge (...) hiding behavior, and to analyze the mediating effects of employees' perception of workplace marginalization and the moderating role of emotional commitment to the organization. The sample of this study covered 500 Chinese full-time corporate employees. The conclusions of the research indicate that the following: Leaders' bias tendency is vitally and absolutely correlated with employees' knowledge hiding behavior; Workplace marginalization perception plays an intermediary role between leaders' bias tendency and employees' knowledge hiding behavior; Emotional commitment to the organization plays a negative moderating role between leaders' bias tendency and employees' knowledge hiding behavior; Emotional commitment to the organization plays a negative moderating role between workplace marginalization perception and employees' knowledge hiding behavior. These findings will help organizations and managers to recognize the harm of bias tendency, regulate their own behaviors, and effectively reduce the generation of employees' knowledge hiding behaviors, thereby promoting knowledge sharing and innovative behaviors in organizations. (shrink)

Relevance deprivation syndrome refers to feelings of incompetence among retired people caused by them leaving their high status or influential jobs. The question then arises: do people in positions of power, like Danwei leaders in China, have a lower life satisfaction post-retirement compared to other groups? This study investigated the influence of serving as a Danwei leader before retirement on retirees’ life satisfaction, as well as differences in this influence and the channels through which they are affected. Based on the (...) data of 5,873 respondents of the 2018 China Longitudinal Aging Social Survey, ordinary least-squares, ordered logistic regression, and propensity score matching models were used to investigate the influence, differences, and influential mechanisms of serving as a Danwei leader before retirement on retirees’ life satisfaction. We found that Danwei leaders experience a significantly positive impact on their life satisfaction post-retirement. Second, the positive impact of having served in this role on peoples’ post-retirement life satisfaction is related to the resulting higher income, social status, and better living habits. In contrast to the perspective of relevance deprivation syndrome, in China, having been a Danwei leader before retirement has a significantly positive impact on peoples’ life satisfaction post-retirement, with there being a significant difference observed among different types of retired Danwei leaders. (shrink)

PurposeThis study aimed to explore current developments and trends in the field of subjective well-being of older adults at a macro level and identify research hotspots.MethodsWe included reviews and articles on the SWB of older adults in the Web of Science Core Collection published from 2002 to 2021. We used CiteSpace to draw a knowledge map of the authors, institutions, countries, references, and keywords for visual analysis and used Microsoft Excel tables to count basic information details.ResultsA total of 354 papers (...) were included, and the number of papers published over the past two decades showed a pattern of growth. The core force of publications was primarily attributed to studies conducted in Europe, North America, Asia, and Oceania, which have relatively major issues of aging and good economic strength. However, links between states, institutions, and authors were relatively weak. Cluster analysis showed that the research field could be divided into eight topics: the application of social psychology in the study of the SWB of older adults, aging in older adults, health condition of older adults, achieving successful aging, interventions for SWB, age differences in SWB research, an economic perspective of SWB research and social support for older adults. Current research frontiers are socioeconomic status, community, intervention, participation, adjustment, validation, and personality.ConclusionThe results of the present study provided a comprehensive picture in the research field of SWB of older adults. It showed that the mechanism, especially the bidirectional effect, between the SWB of older adults and its influencing factors is still worthy of further exploration. More research on evidence-based and intervention strategies should be conducted in the future. (shrink)

The losses in the radial distribution system are inevitable which needs to be minimized for the proper transmission of power to the end customers. This problem can be solved by the allocation of capacitor banks at proper locations with appropriate sizing. These allocations need an efficient approach for the performance enhancement of RDS. In this paper, several metaheuristic techniques such as particle swarm optimization, Harmony search, Bat, Cuckoo, and Grey-wolf algorithms are employed to find the size of capacitor banks. Loss (...) sensitivity analysis is considered for the indication of candidate buses where a capacitor has to be installed to reduce the total system losses and ultimately increase efficiency. Cost-effectiveness, power loss minimization, and voltage enhancement can be determined and compared for these 5 techniques and are implemented on the IEEE-34 bus system to illustrate the efficacy of each of them. The results show the advantages and drawbacks of the techniques separately. The simulations are carried out in MATLAB. (shrink)

Link prediction is a key tool for studying the structure and evolution mechanism of complex networks. Recommending new friend relationships through accurate link prediction is one of the important factors in the evolution, development, and popularization of social networks. At present, scholars have proposed many link prediction algorithms based on the similarity of local information and random walks. These algorithms help identify actual missing and false links in various networks. However, the prediction results significantly differ in networks with various structures, (...) and the prediction accuracy is low. This study proposes a method for improving the accuracy of link prediction. Before link prediction, k-shell decomposition method is used to layer the network, and the nodes that are in 1-shell and the nodes that are not linked to the high-shell in the 2-shell are deleted. The experiments on four real network datasets verify the effectiveness of the proposed method. (shrink)

Previous studies have demonstrated that inversion effect and left-side bias are stable expertise markers in Chinese character processing among adults. However, it is less clear how these markers develop early on. Therefore, this study aimed to investigate the development of the two markers by comparing primary school-aged students of three age groups and adults in tests of inversion effect and left-sided bias effect. The results replicated that both effects during Chinese character processing were present among adults. However, more importantly, the (...) effects were different among primary school-aged students in different grades: the inversion effect was found as early as in Grade 1, but the left-side bias effect did not emerge in Grade 1 and as approximated that of adults until Grade 3. The study suggested a potential dissociation in developing different aspects of expertise during Chinese character processing in early childhood. (shrink)

With the rapid development of modern technology, people has stepped into an risky era. Ethical stipulation is the important means to reduce the risks. But in reality, ethical stipulation of technology always face some kind of dilemma which mainly come from two aspects: one is that when we try to regulate the subject oftechnology, we find that it always difficult to distinguish the responsibilities. The other aspect is that when we try to limit the result of technology, we often have (...) to give up because of lacking feasibility, which means we sink into the famous “Collingridge dilemma”. Are we able to get out of the dilemma? What should we doif we want to got out of it? First, in the modern technological system, individual’s action is taken over by group’s action according to the technological criterion. Any part of the modern technology need multiple subjects finish his job during the course. Therefore a new form of responsibility named group responsibility has been formed. Like Johnas said, in this ethics, ‘I’ will be replaced by ‘we’ and decision will be the business of a group. So it is difficult for us to find out that “I” from “us” once the technological risks happened. We lost the object of ethical stipulation as the result of no convinced standard and principals of prescribing the group responsibility. Second, when we try to stimulate some certain results of technology, we find we lack not only the wisdom of precisely judging or assessingtechnology itself, but also the ability of correcting the bad results if it has. Here again do we fall into the dilemma. This make it difficult for us to stipulate technology with ethic. From above discussion we can see, the stipulation, no matter from the aspect of technological responsibility or from aspect of the application of technology, has been sure to meet the dilemma. If the conflicts between a hypothesis and experiment cannot be eliminated, we have to rethink the theoryand come back again to technology itself and pursue the essence of technology again. Technology is a process from inventing, designing to forming material technological products; is a process from invisible technology to visible technology; is a process potential technology to real-life technology or intellective technology to reallife technology. Technology exists in process. The essential and innate characteristic is it’s process and dynamics. The transition oftechnological form involves many factors of economic, social, historical, constitutional and cultural. Technological creation of intellectual form is the duty of inventor or technologist. And it is entrepreneur’s job to use the technology or invention, and make them in large quantity, apply them in reality or get economic or other profit. Although there need be interaction, understanding, cooperation, support, coordination among scientist, technologist and enterpriser, they have different responsibility and delimitation. Technology exists in process, no doubt, so does modern technology. This decides that the ethical stipulation of modern technology should be a process stipulation. The essence of modern technological is not only the limitation of subject of technology either not only controlthe object of technology. It is the ethical stipulation in the unity of subject and object of technological dynamic process. This is basic point of understanding ethical stipulation of modern technology. Responsibility ethics consider that the group responsibility as the premise of technological stipulation.It noticed the static structure of modern technological system, but neglect the dynamic linkage between factors. And it only analysed the special construction, neglected the evolution of system of technological responsibility and the inter relationship between space dimension and time dimension. If we unfold the group responsibility along with the process of technology, we will see the different responsibility belong to different subject in different stage of the process. We can also see that different actors obey different norm or criteria according to their task. In this case, we can distinct the distribution of the group responsibility. Collingridge fixed the effective control on the two points of “before ”and ”after” the process of the technological action, namely, the stipulation for the staring point and stipulation of terminal point. But the whole process was neglected. According to the point of view of process stipulation.it is not the sudden occurrence for technology from “nothing ”to “having”. There are time and space during the process. From middle experiment to industrial experiment, the most characters of the result of technology will havebeen shown gradually, so will the social results. So we can give the small quantity an ethical evaluation and ethical choice which is possible and feasible. Over all, if we confirm the ethical stipulation of modern technology is a process regulation, we can delimitate the responsibility of the subjects of technology and also settle the prestipulation of the application of technology. At the end, we can eliminate the dilemma of ethical regulation of modern technology. (shrink)

Although many studies have provided evidence that abstract knowledge can be acquired in artificial grammar learning, it remains unclear how abstract knowledge can be attained in sequence learning. To address this issue, we proposed a dual simple recurrent network model that includes a surface SRN encoding and predicting the surface properties of stimuli and an abstract SRN encoding and predicting the abstract properties of stimuli. The results of Simulations 1 and 2 showed that the DSRN model can account for learning (...) effects in the serial reaction time task under different conditions, and the manipulation of the contribution weight of each SRN accounted for the contribution of conscious and unconscious processes in inclusion and exclusion tests in previous studies. The results of human performance in Simulation 3 provided further evidence that people can implicitly learn both chunking and abstract knowledge in sequence learning, and the results of Simulation 3 confirmed that the DSRN model can account for how people implicitly acquire the two types of knowledge in sequence learning. These findings extend the learning ability of the SRN model and help understand how different types of knowledge can be acquired implicitly in sequence learning. (shrink)

As the stock market is an important part of the national economy, more and more investors have begun to pay attention to the methods to improve the return on investment and effectively avoid certain risks. Many factors affect the trend of the stock market, and the relevant information has the nature of time series. This paper proposes a composite model CNN-BiSLSTM to predict the closing price of the stock. Bidirectional special long short-term memory improved on bidirectional long short-term memory adds (...) 1 − tanh function in the output gate which makes the model better predict the stock price. The model extracts advanced features that influence stock price through convolutional neural network, and predicts the stock closing price through BiSLSTM after the data processed by CNN. To verify the effectiveness of the model, the historical data of the Shenzhen Component Index from July 1, 1991, to October 30, 2020, are used to train and test the CNN-BiSLSTM. CNN-BiSLSTM is compared with multilayer perceptron, recurrent neural network, long short-term memory, BiLSTM, CNN-LSTM, and CNN-BiLSTM. The experimental results show that the mean absolute error, root-mean-squared error, and R-square evaluation indicators of the CNN-BiSLSTM are all optimal. Therefore, CNN-BiSLSTM can accurately predict the closing price of the Shenzhen Component Index of the next trading day, which can be used as a reference for the majority of investors to effectively avoid certain risks. (shrink)