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In the era of mobile internet, the social Q&A community has built a large-scale and complex knowledge label network through its internal knowledge units, and the scale and structure of the network have changed over time. By analysing the structural characteristics and evolution rules of knowledge label networks, the main purpose of this study is to understand the internal mechanisms of the replacement of old and new knowledge and the expansion of knowledge element boundaries, so as to explore the realization path of knowledge management in the new era from the perspective of complex networks.

This paper uses distributed crawlers to capture 419,349 samples from the Zhihu platform. Each sample contains 33 characteristic dimensions, and the natural year is used as the sliding window to divide the whole. In this study, the global knowledge label network and 11 local knowledge label networks are first constructed. Then, the degree distribution analysis and central node exploration of the knowledge label network are carried out using the complex network method. Finally, the average shortest path and average clustering coefficient of the network are analysed by the time series method, and the ARIMA model is used to predict the evolution of the correlation coefficient.

The research results show that the dissimilation degree of the degree distribution of the knowledge label network has gradually decreased from 2011 to 2021, and the attention of users in the knowledge community has shown a trend of distraction and diversification over time. With the expansion of the scale of the knowledge label network and the transformation to an information network, the network sparsity is becoming more and more obvious, and the knowledge granularity of the Q&A community is being refined and diversified. The prediction of the correlation coefficient of the knowledge label network by the ARIMA model shows that the connection between the labels is lacking diversity and the opinion strengthening phenomenon tends to strengthen, which is more likely to form the “echo chamber effect”, resulting in mutual isolation and even opposition between different circles. The Q&A community is about to enter a mature stage, and the corresponding status of each label has been finalized. The future development trend of label networks will be reflected in the substitution between labels, and the specific structure will not change significantly.

The Q&A community model is the trend in Web 2.0 community development. This study proves the effectiveness of complex networks and time series prediction methods in knowledge label network mining in the Q&A community.

Environmental, social and governance (ESG) performance has received significant attention around the world. Could robust ESG performance become a new advantage for supporting companies’ outward foreign direct investment (OFDI) in emerging markets? Prior studies have not articulated the nexus between ESG performance and OFDI. This paper aims to conduct both theoretical and empirical work to clarify the effect, especially the mechanisms of ESG performance on companies’ OFDI.

Using the data of A-share listed companies in China from 2010 to 2020, this paper empirically tests the effect and the mechanisms of ESG performance on companies’ OFDI.

Firstly, robust ESG performance increases the likelihood of companies engaging in OFDI and also augments the scale of such investments. Within the realm of ESG, environmental performance, social performance and governance performance all play important roles in fostering OFDI. Secondly, strong ESG performance promotes OFDI by enhancing the competitive edge and alleviating financial constraints. Also, environmental performance, social performance and governance performance individually contribute to supporting competitiveness and mitigating financial constraints. Thirdly, the effect of ESG performance on OFDI is particularly pronounced for companies targeting developed countries, those operating in heavily polluting sectors and those with significant institutional investor presence.

This study advances the applicability of the stakeholder theory in the realm of firm internationalization. Moreover, the findings of this paper provide new strategies for promoting the OFDI of companies in emerging market economies.

In the era of the digital economy, higher demands are placed on versatile talents, and the cultivation of students with innovative and entrepreneurial abilities has become an important issue for the further development of higher education, thus leading to extensive and in-depth research by many scholars. The study summarizes the characteristics and patterns of dual-innovation education at different stages of development, hoping to provide a systematic model for the development of dual-innovation education in China and make up for the shortcomings.

This paper uses Citespace software to visualize and analyze the relevant literature in CNKI and Web of Science databases from a bibliometric perspective, focusing on quantitative analysis in terms of article trends, topic clustering, keyword co-linear networks and topic time evolution, etc., to summarize and sort out the development of innovation and entrepreneurship education research at home and abroad.

The study found that the external characteristics of the literature published in the field of bi-innovation education in China and abroad are slightly different, mainly in that foreign publishers are more closely connected and have formed a more stable ecosystem. In terms of research hotspots, China is still in a critical period of reforming its curriculum and teaching model, and research on the integration of specialization and creative education is in full swing, while foreign countries focus more on the cultivation of students' entrepreneurial awareness and the enhancement of individual effectiveness. In terms of cutting-edge analysis, the main research directions in China are “creative education”, “new engineering”, “integration of industry and education” and “rural revitalization”.

Innovation and entrepreneurship education in China is still in its infancy, and most of the studies lack an overall overview and comparison of foreign studies. Based on the econometric analysis of domestic and foreign literature, this paper proposes a path for domestic innovation and entrepreneurship education reform that can make China's future education reform more effective.

This study investigates the effect of keyword portfolio characteristics on sales in paid search advertising. The authors propose two keyword portfolio characteristics (variety and disparity) and examine the effects of portfolio variety and portfolio disparity on direct and indirect sales in both PC and mobile environment.

By conducting a field study at a large e-commerce platform, the authors use a negative binomial model to develop empirical findings that provide insights into paid search advertising strategies.

For main effect, (1) portfolio variety has a negative effect on direct sales. However, (2) portfolio disparity has positive effects on both direct and indirect sales. Advertising channels influence the contribution of keyword portfolio to sales. (3) On mobile devices, portfolio variety positively affects both direct and indirect sales. However, portfolio disparity negatively affects both direct and indirect sales. (4) On PCs, portfolio variety negatively affects both direct and indirect sales. However, portfolio disparity positively affects both direct and indirect sales on PC.

The findings provide advertisers with insights into how to manage keyword portfolio between mobile devices and PCs.

The current study shifts the attention from keyword to keywords (keyword portfolio), which extends the paid search literature. Moreover, it also contributes to the literature by comparing the relative effectiveness of mobile and PC search advertising.

The purpose of this paper is to establish a simplified model of the closed hydrostatic guideway for the rapid analysis of static and dynamic characteristics. Further, the influence of compressibility and dynamic frequency are taken into consideration in the new dynamic model.

The new model is based on the second kind of Lagrange equation. In this model, the closed hydrostatic guideway is supported by 12 pads, and each oil pad is equivalent to a nonlinear spring-damper system. The equivalent spring coefficient and damper coefficient of the oil pad are extracted by the three different equivalent methods. Finally, the validation experiments of step load response and dynamic stiffness are conducted on a hydrostatic guideway.

For solving the step response, the linear spring-damper model and the nonlinear spring-damper Model 1 are better than the nonlinear spring-damper Model 2. The accuracy of the three methods are very high for static stiffness calculation. For the calculation of dynamic stiffness, the nonlinear spring-damper Model 2 is better than the nonlinear spring-damper Model 1. The linear spring-damper model has low precision for dynamic stiffness calculation, especially at high frequency. The accuracy of the new model is validated by experiments.

The equivalent method of nonlinear spring-damper system has higher accuracy. Different equivalent methods should be adopted for different load types. The computational speeds of the new dynamic model with the three methods are much better than finite element method (about ten times).

The aim of the study was to investigate the differential effects of interpersonal relationships across functions on product and service innovation, and to examine the moderating role of market competition.

This study was based on a survey of senior and middle managers from 149 pharmaceutical firms in China.

Interpersonal relationships between employees across functions (IR-E) have a stronger impact on product innovation than do interpersonal relationships between managers across functions (IR-M), but IR-M have a stronger impact on service innovation. Market competition strengthens the effects of IR-M on both product and service innovation, but it attenuates the effect of IR-E on service innovation.

Although the effects of interpersonal relationships across functions are crucial to cross-functional interactions, these effects have received little attention in the literature. By identifying the potential “backfiring” effect of dual-level interpersonal relationships, this study contributes to knowledge of cross-functional relationships. It also deepens understanding of the relationship between cross-functional relationships and organizational innovation, especially in the service setting.

Although the importance of green supplier integration (GSI) has been recognized, the knowledge of how it can be enhanced is still limited. Using insights from transaction cost and resource dependence theories, this paper aims to explore how to balance coercive and non-coercive powers to enhance GSI and the mediating role of relationship commitment and the moderating role of relationship closeness.

To validate the hypotheses, this study conducted hierarchical regression analysis and bootstrapping using the survey data collected from 206 Chinese manufacturers.

The results indicate that coercive power undermines normative commitment, while non-coercive power promotes normative and instrumental commitments. Both normative and instrumental commitments enhance GSI. Normative commitment mediates the impacts of coercive and non-coercive powers on GSI, while instrumental commitment only mediates the impact of non-coercive power on GSI. Moreover, supplier trust and dependence negatively moderate the positive link between instrumental commitment and GSI.

Executives should carefully balance coercive and non-coercive powers to encourage firms to maintain good relationships with suppliers and develop common environmental values under different mediating effects of normative and instrumental commitments. However, they should also be aware that high level of trust and dependence can affect the impacts of powers.

This study contributes to GSI literature by opening the “black box” between power and GSI and verifying its boundary conditions.

Special education in China has lagged behind regular education for many years, however, the past few decades, the government has made considerable efforts to develop and improve the special education system. While the citizens of China have had a generic moral interest in disability since ancient times, the development of special education schools did not occur until American and European missionaries started schools for the visually and hearing impaired in the 19th century. The next major influence in the development of the special education system occurred with China’s Cultural Revolution in 1978. Interestingly, there is not any exclusive legislation on special education but in the 1980s, the government started Learning in Regular Classrooms (LRC), which is China’s version of inclusion. LRC has progressed rapidly the past two decades; however, the quality of instruction is low due to a lack of specialists, a shortage of personnel, inadequate funding, and limited technology as well as other barriers that are delineated in the chapter. The chapter emphasizes the government’s recent efforts in in-service teacher training, the preparation of preservice teachers, working with families, developing community rehabilitation training programs, and implementing evidence-based practices. Special education in China today is at a good place but it has quite a way from the ideal situation.

This research explores the differential effects of pixel-level and object-level visual complexity in firm-generated content (FGC) on consumer engagement in terms of the number of likes and shares, and further investigates the moderating role of image brightness.

Drawing on a deep learning analysis of 85,975 images on a social media platform in China, this study investigates visual complexity in FGC.

The results indicate that pixel-level complexity increases both the number of likes and shares. Object-level complexity has a U-shaped relationship with the number of likes, while it has an inverted U-shaped relationship with the number of shares. Moreover, image brightness mitigates the effect of pixel-level complexity on likes but amplifies the effect on shares; contrarily, it amplifies the effect of object-level complexity on likes, while mitigating its effect on shares.

Although images play a critical role in FGC, visual data analytics has rarely been used in social media research. This study identified two types of visual complexity and investigated their differential effects. We discuss how the processing of information embedded in visual content influences consumer engagement. The findings enrich the literature on social media and visual marketing.

Integrating green (sustainable) practices in logistics management play a crucial role in accelerating the transition to a circular economy, realizing its sustainability potential and position in the net zero emission target by 2050. Over the past decade, this integration has attracted significant attention in both academic and industrial discourse. Despite the increasing recognition of the benefits of green logistics practices (GLPs), only a few firms have implemented green-oriented or sustainable logistics practices; hence, a comprehensive understanding of what could drive its implementation as well as how and when firms can benefit from GLPs is of key importance for theory, policy and practice. Drawing on dual theoretical lenses, this study investigated how supply chain ethical leadership (SCEL) could stimulate green logistics practices by building green core competencies (GCC) under varying conditions of corporate green culture (CGC).

An integrated model motivated by social learning and contingency theories was tested using responses from 208 managers of logistics firms in Ghana. SPSS 23 and covariance-based structural equation modeling (CB-SEM) were used for data analyses.

Both SCEL and GCC significantly influenced GLPs. The findings also showed that GLPs significantly enhanced carbon-neutral supply chain performance (CNSCP). The results further showed that GCC mediates the SCEL–GLPs link. We also found that the effect of SCEL on GLPs was amplified at a high level of CGC.

This study offers fresh insight into how managers can leverage SCEL to support GLP and when they can also combine green competence and green culture to achieve enhanced benefits in the form of carbon-neutral SCP. This further implies that building ethical leadership and competencies alone may not be sufficient to drive superior emission reduction and subsequent sustainability; rather, cultivating a green-oriented culture that values sustainable logistics is crucial to fully realize the potential of ethical leadership and competencies in enabling the implementation of GLPs and subsequently enhancing carbon-neutral SCP.

The novelty of the present study lies in the integration of social learning and contingency theories to unearth the mechanism and conditional roles of green competence and green culture in optimizing the SCEL–GLPs–GLP relationship. The study is also among the few attempts to shed light on how firms can leverage GLPs to enhance carbon-neutral supply chain performance, which is rare.