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This paper aims to refine cross-organizational knowledge creation theory by exploring the knowledge conversion process of University-Industry (U-I) collaboration in Chinese aerospace industry. An ancient Chinese philosophy named I-Ching is also introduced to illustrate dynamics of knowledge creation to achieve enlightenment.

To describe the knowledge conversion tendency, a theoretical framework is developed by reference to Boisot’s (1995) Information Space. The application of the framework is described in the in-depth case study of micro-electrode manufacturing for aerospace vehicles. The dynamics of each stage in knowledge conversion is investigated with the implications from I-Ching.

Analysis of the results suggests that seven certain stages can be especially indicative of cross-organizational knowledge creation, namely: demand codification; knowledge gain; knowledge digestion; knowledge sharing; knowledge propagation; knowledge spillover and knowledge degeneration. A knowledge gain, digestion, sharing and propagation (GDSP) knowledge creation theory is developed accordingly. The form of knowledge in different stages is variable, the change among various forms is effectively explained by I-Ching.

There is clearly a strong requirement to test the framework further with other cases, such as sampling cases from different industries and of different firm scales. Besides, the knowledge creation processes on the organizational level and the individual level are quite different, which call for further study.

First, the theory helps firms to get a better understanding of the nature of U-I collaboration, that is to say, knowledge creation. That will, in turn, power the firm to take the initiative to participate in knowledge creation activities. Second, the illustration through I-Ching provides reasonable and easily understandable interpretations for Chinese corporate managers and executives. Traditional Chinese culture will be beneficial to make U-I collaborations more efficient and effective in China.

A new “GDSP knowledge creation theory” which enriches and advances the typical socialization, externalization, combination and internalization (SECI) knowledge creation theory in some aspects is proposed. The theory is deeply grounded in Chinese culture. Furthermore, the conversion of different knowledge forms in the theory is considered from a totally new perspective of ancient Chinese philosophy: I-Ching.

Internet marketing underground industry users refer to people who use technology means to simulate a large number of real consumer behaviors to obtain marketing activities rewards illegally, which leads to increased cost of enterprises and reduced effect of marketing. Therefore, this paper aims to construct a user risk assessment model to identify potential underground industry users to protect the interests of real consumers and reduce the marketing costs of enterprises.

Method feature extraction is based on two aspects. The first aspect is based on traditional statistical characteristics, using density-based spatial clustering of applications with noise clustering method to obtain user-dense regions. According to the total number of users in the region, the corresponding risk level of the receiving address is assigned. So that high-quality address information can be extracted. The second aspect is based on the time period during which users participate in activities, using frequent item set mining to find multiple users with similar operations within the same time period. Extract the behavior flow chart according to the user participation, so that the model can mine the deep relationship between the participating behavior and the underground industry users.

Based on the real underground industry user data set, the features of the data set are extracted by the proposed method. The features are experimentally verified by different models such as random forest, fully-connected layer network, SVM and XGBOST, and the proposed method is comprehensively evaluated. Experimental results show that in the best case, our method can improve the F1-score of traditional models by 55.37%.

This paper investigates the relative importance of static information and dynamic behavior characteristics of users in predicting underground industry users, and whether the absence of features of these categories affects the prediction results. This investigation can go a long way in aiding further research on this subject and found the features which improved the accuracy of predicting underground industry users.

This study aims to develop a four-dimensional (4D) textile composite that self-forms upon thermal stimulation while eliminating thermomechanical programming steps by using fused deposition modeling (FDM) 3D printing technology, and tries to refine the product development path for this composite.

Polylactic acid (PLA) printing filaments were deposited on prestretched Lycra-knitted fabric using desktop-level FDM 3D printing technology to construct a three-layer structure of thermally responsive 4D textiles. Subsequently, the effects of different PLA thicknesses and Lycra knit fabric relative elongation on the permanent shape of thermally responsive 4D textiles were studied. Finally, a simulation program was written, and a case in this study demonstrates the usage of thermally responsive 4D textiles and the simulation program to design a wrist support product.

The constructed three-layer structure of PLA and Lycra knitted fabric can self-form under thermal stimulation. The material can also achieve reversible transformation between a permanent shape and multiple temporary shapes. Thinner PLA deposition and higher relative elongation of the Lycra-knitted fabric result in the greater curvature of the permanent shape of the thermally responsive 4D textile. The simulation program accurately predicted the permanent form of multiple basic shapes.

The proposed method enables 4D textiles to directly self-form upon thermal, which helps to improve the manufacturing efficiency of 4D textiles. The thermal responsiveness of the composite also contributes to building an intelligent human–material–environment interaction system.

This research aims to discover the relationship between social media usage (SMU) and the critical thinking ability (CTA) of university students, and to answer the question that whether social media dependence (SMD) affects the development of CTA, and thus providing a reference for the social media access strategy of academic libraries from the perspective of media information literacy.

The research data were collected via 300 valid questionnaires whose respondents are students from three universities in China. Multistage stratified cluster sampling method was used to select the respondents, which guarantees statistical representativeness. A pre-test was conducted to ensure the validity of the questionnaire.

It is shown that the total score of CTA and the six sub-dimensions are significantly positively correlated with SMU, but strongly negatively correlated with SMD. Based on the mediating effect testing, it is discovered that the degree of SMD can affect the promoting relations between the usage intensity of social media (UISM) and CTA. Clearly, SMU is a double-edged sword. While it narrows the digital gap in terms of accessibility, it widens the digital gap in terms of usage.

The differences in SMU have a significant impact on the development of CTA of university students. This inspires us to consider the ability of “using social media in a balanced way” as an important evaluation and training direction when inquiring media literacy. As social media is becoming a critical channel in cultivating individual's thinking skills, it is highly suggested that the amount of time spent on reading fragmented information on the internet should be controlled.

The literature reports inconsistent findings about the effects of social media usage (SMU). Researchers distinguish between active and passive social media usage (ASMU and PSMU), which can generate different effects on users by social support and social comparison mechanisms, respectively. Drawing on social presence theory (SPT), this study integrates an implicit social presence mechanism with the above two mechanisms to explicate the links between SMU and seniors' loneliness.

Data were collected from a field study by interviewing seniors living in eight aging care communities in China. Loneliness, social media activities and experiences with social media in terms of online social support (OSS), upward social comparison (USC) and social presence (SP) were assessed. Factor-based structural equation modeling was used to analyze the data.

OSS can mediate the relationship between ASMU and seniors' loneliness. Moreover, SP mediates between ASMU, PSMU, and seniors' loneliness, and between OSS, USC and seniors' loneliness. OSS mediates the relationship between ASMU and SP, and USC mediates the relationship between PSMU and SP.

This study shows that social media can alleviate seniors' loneliness, which could help relieve the pressures faced by health and social care systems. Social presence features are suggested to help older users interact with social health technologies in socially meaningful ways.

This study not only demonstrates that SP can play a crucial role in the relationship between both ASMU and PSMU and loneliness, but also unravels the links between SP and OSS, as well as USC.

This study aimed to explore the effects of the satisfaction of employees' need for autonomy, relatedness and competence on their voice behavior through the mediation of self-efficacy for voice and perceived risk for voice.

The theoretical model is tested using survey data collected from 209 employees of information technology (IT) firms located in five major cities in China.

The study found that satisfaction of employees' need for autonomy, relatedness and competence facilitated their self-efficacy for voice and inhibited perceived risk for voice. Self-efficacy for voice was positively related to voice, whereas perceived risk for voice was negatively related to it. Perceived risk for voice hampered self-efficacy for voice.

The findings indicate that organizations can boost employees' voice behavior by making them feel that they have autonomy in their work, by helping them maintain good relationships with others in the workplace and by enabling their competence in accomplishing their job.

This study highlights that satisfying employees' psychological needs plays a pivotal role in facilitating their voice behavior. The authors provide new insights into the relationship between need satisfaction and voice behavior and into the mediating roles of self-efficacy for voice and perceived risk for voice.

Despite the detrimental effects of supervisor knowledge hiding on employees and organizations, little research has focused on how subordinates cope with it. Drawing on the impression management theory, this study proposes a mediated moderation model to explain who and how cope with supervisor knowledge hiding.

Using a sample of 340 full-time participants in various organizations and industries in China, the proposed model was tested using ordinary least squares regression with the PROCESS 3.5.

The results support the mediated moderation model, indicating that proactive subordinates are motivated to manage their impression towards supervisors and engage in upward ingratiation to cope with supervisor knowledge hiding. In contrast, subordinates with low level of proactive personality trait have less impression management motive and engage in fewer upward ingratiatory behaviors.

Based on the impression management theory, the current paper contributes to the literature on supervisor knowledge hiding by expanding the consequences of supervisor knowledge hiding, identifying a boundary condition of supervisor knowledge hiding on subordinate’s subsequent behaviors and enriching the mechanism underlying the effect of supervisor knowledge hiding with proactive personality.

Hedonic social applications have been increasingly popular among health information consumers. However, it remains unclear what motivates consumers to adopt health information in hedonic applications when they have alternative choices of more formal health information sources. Building on the self-determination theory and the affordances lens, this study aims to investigate how different affordances on hedonic social applications affect consumers' basic psychological needs and further influence their intention to adopt health information on such applications.

As TikTok demonstrated great potential in disseminating health information, we developed a model that we analyze using the PLS-SEM technique with data collected from a valid research sample of 384 respondents with health information seeking or encountering experience in TikTok.

The results suggested that health information adoption in hedonic social applications is significantly predicted by the satisfaction of consumers' basic psychological needs, namely autonomy, relatedness and competence. Moreover, the satisfaction of basic psychological needs is positively affected by affordances provided by the hedonic social applications. The hedonic affordances positively influence autonomy satisfaction, while the connective affordances positively affect relatedness satisfaction, and the utilitarian affordances positively support competence satisfaction.

The study indicates that hedonic social applications such as TikTok could be an important channel for consumers to access and adopt health information. The study contributes to the literature by proposing a theoretical model that explains consumers' health information adoption and yields practical implications for designers and service providers of hedonic social applications.

This study aims to examine the antecedents of career decision self-efficacy (CDSE) and provide a comprehensive understanding of the factors that influence this critical construct in career development and decision-making.

This study employed a meta-analysis of 43 independent studies, comprising 90 correlations and 17,143 participants. The Hunter-Schmidt method meta-analysis was used to analyze the data and identify the factors associated with CDSE. Random-effect meta-regression analysis was applied to detect the potential moderators.

The study found that CDSE is positively associated with social support (ρ = 0.41), age (ρ = 0.05), agreeableness (ρ = 0.23), conscientiousness (ρ = 0.48), emotional intelligence (ρ = 0.48), extraversion (ρ = 0.41), openness (ρ = 0.35) and proactive personality (ρ = 0.68), while negatively related to neuroticism (ρ = −0.33). Furthermore, the results indicate that sample gender (%female) and mean age partially moderate the relationship between CDSE and age, core-self evaluations and neuroticism.

In this study, the authors have contributed significantly to the existing research on CDSE antecedents by conducting a thorough analysis of the various factors associated with this critical construct. The findings offer an accurate understanding of the factors that influence CDSE, and this paper's moderation analysis sheds light on the boundary conditions in the CDSE literature. Moreover, this research has practical implications for practitioners such as teachers, parents and career counselors. By leveraging the insights gained from this study, practitioners can provide more effective career support and intervention to young people, which can help increase their CDSE and improve their overall career development and well-being.

The digital economy is profoundly transforming the manufacturing industry's fundamental concepts and value creation logic, making digital transformation (DT) strategy a crucial decision for manufacturers. And faced with increasingly severe environmental issues, DT may become an important means to achieve sustainable development. This paper mainly discusses the strategic choice of the manufacturer's DT and analyzes the impact of DT on carbon emissions.

Based on the carbon cap-and-trade mechanism, the authors have constructed two decision models to study the DT strategy of the manufacturer, further exploring the impact of the mechanism on the DT strategy and production strategy of the manufacturer. Finally, the authors discussed the effect of manufacturers' DT on their carbon emissions.

The authors found that the manufacturer should initiate DT to enhance their competitiveness, regardless of whether they are in a low digital technology scenario or a high digital technology scenario. Notably, DT can enhance the ability of the manufacturer to respond to external emergencies. In a low digital technology market scenario, both carbon emissions per unit of product and carbon price are positively affecting the digitization level of the manufacturer. In a high digital technology market scenario, the manufacturer will initiate a full degree of DT. Moreover, the impact of DT on total carbon emissions varies in markets with different levels of digital technology.

Innovatively, the authors divided the DT of the manufacturer into market scenarios with low digital technology and high digital technology. Provide the manufacturer with DT decisions according to different scenarios. At the same time, it verifies the uncertainty of DT on carbon emission and enriches the related research.