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The debate surrounding the influence of parental nutritional knowledge on offspring’s susceptibility to overweight/obesity persists, with a dearth of research elucidating the mechanisms involved. This study aims to explore if and how parental nutrition knowledge affects adolescents' overweight and obesity, by highlighting the mediating effect of parental perceived severity of obesity.

A questionnaire was conducted in Zhejiang Province, China, with a sample of 2,298 students as well as their parents during November–December 2022. Logistic regression and propensity score matching methods was used to validate the relationship between parental nutrition knowledge and adolescents' overweight/obesity, while the multiplication coefficient method was used to test the mediation effect.

Parental nutrition knowledge significantly reduces the odds ratio for adolescent obesity, without affecting the likelihood of overweight. The perceived severity of obesity fully mediates the relationship between parental nutrition knowledge and adolescents' overweight and obesity.

By exploring mediating factors, the analysis offers an innovative explanation of the process by which nutritional knowledge influences health behaviors. Lack of relevant motivation or beliefs is an important reason for the failure of nutritional knowledge. If parents do not have sufficient awareness of the dangers of overweight or obesity, they will have inadequate motivation to apply nutritional knowledge in guiding dietary or exercise decisions. We also supplement the literature by demonstrating the health belief model in highlighting the mediating mechanism of perceived severity in the relationship between parental nutrition knowledge and adolescents' obesity.

Extending the research focus on subjective beliefs and cognitive motivation bears important policy implications for designing education campaigns to effectively restrain the obesity rate. Considering that many Chinese parents have insufficient awareness of the dangers of childhood overweight and obesity, even considering “chubby children” as symbols of “cuteness” and “health”. This can largely undermine their motivation to apply nutritional knowledge to restrain adolescents' overweight and obesity. Consequently, education campaigns, public health professionals and government agencies can be developed aiming to increase parental nutrition knowledge, especially on the hazards of obesity.

With the prevalence of overweight and obesity among adolescents, it is critical to control students' weight and health. Families, especially parents, are vital to the physical and mental health of adolescents. This research confirmed that improving parental nutrition knowledge is necessary for maintaining a healthy weight for adolescents. Results also emphasized that the association between parental nutritional knowledge and adolescents' overweight or obesity was mediated by parental perceived severity. This indicates that interventions designed to enhance parental nutritional knowledge should pay more attention to strengthening parental cognition of and beliefs in obesity.

This paper added to the debate on the impact of parental nutritional knowledge on adolescent’s overweight and obesity. Based on the health belief model, it also identified a novel pathway and mechanism by highlighting the importance of subjective motivations and beliefs such as the perceived severity of obesity in influencing overweight/obesity. Conclusions bear important policy implications for designing education campaigns to effectively restrain the obesity rate.

Research on workplace loneliness has thus far been dominated by perceptions of followers; hence, few researchers have considered the perspective of leader-follower congruence. The purpose of this paper is to examine how the leader-follower relationship mediates the relationship between leader-follower congruence/incongruence in workplace loneliness and turnover intentions.

Data were collected from 232 leader-follower dyads from ten companies in China. Polynomial regression combined with the response surface methodology was used to test the hypotheses.

Four conclusions were drawn. First, leader-member exchange (LMX) was higher when leaders and followers were aligned in terms of workplace loneliness than otherwise. Second, in the case of leader-follower congruence, LMX rose as their workplace loneliness fell. Third, in the case of incongruence, followers had lower LMX when they were lonelier than their leaders. Finally, LMX partially mediated the leader-follower congruence/incongruence effect of workplace loneliness on followers’ turnover intention.

This study emphasized the importance of leaders’ congruence with followers in workplace loneliness. Additionally, it extended research on leader-follower congruence from a positive perspective to a negative one.

The purpose of this paper is to focus on the risk decision making of entrepreneurial team, deconstruct the intermediate process mechanism of cognitive adaptability in promoting risk decision making and reveal the role of opportunity identification and entrepreneurial efficacy in the decision-making process, which clarifies how cognitive adaptability affects decision-making speed and effect.

This study establishes a relationship model among entrepreneurial team’s cognitive adaptability, opportunity identification, entrepreneurial efficacy and risk decision making, and selects 316 entrepreneurial teams to empirically study the relationship among core variables using Bootstrap analysis and Johnson–Neyman technology.

Cognitive adaptability though has no direct impact on risk decision-making speed, whereas it directly affects risk decision-making effect; opportunity identification has a full mediating effect between cognitive adaptability and decision-making speed, and a partial mediating effect between cognitive adaptability and decision-making effect; entrepreneurial efficacy plays a moderating role between opportunity identification and decision-making speed, and a same role between opportunity identification and decision-making effect.

First, in setting the research model, the study does not take other moderators into consideration, which might be improved. Second, the study ignores the origin and formation of entrepreneurial team’s cognitive adaptability, the predisposing factors of which might be discussed in the future research.

The practical implication of this paper is to guide the entrepreneurial team to turn their focus on the impact of highly implicit cognitive adaptability on decision making, which might be divided into two aspects: the first is to enhance the cognitive adaptability of the entrepreneurial team, cultivate team members’ self-examination awareness and self-monitoring habits. The second is to strengthen team’s psychological capital and value the cultivation of entrepreneurial efficacy.

This paper breaks through the team process and structure perspectives, explores the driving mechanism of entrepreneurial team risk decision making from team cognition perspective, and deconstructs the logical framework of cognitive adaptability’s influence on risk decision making. This paper applies Johnson–Neyman technology to quantify the mediating effect entrepreneurial efficacy exerts on cognitive adaptability and decision-making speed, as well as on cognitive adaptability and decision-making effect.

Based on the survey data of 1,152 households in three provinces of Shaanxi, Gansu and Ningxia on the Loess Plateau, this paper aims to empirically analyze the impact of aging and off-farm employment on farmers’ adoption behavior of soil and water conservation technology. This paper analyzes the moderating effect of social network and the mediating effect of technological cognition in this impact relationship.

Based on the above analysis, the second part of this paper is based on relevant theories and constructs a theoretical model of the relationship of aging, off-farm employment, social network, technology cognition and farmers’ adoption behavior of soil and water conservation technology. The third part introduces research methods, variable selection and descriptive statistics analysis of variables. The fourth part, based on the data of Shaanxi, Gansu and Ningxia provinces in the Loess Plateau in 2016, empirically analyzes the impact of aging, off-farm employment and social network on the farmers’ adoption behavior of soil and water conservation technology. This paper further examines the moderating effect of social network and the mediating effect of technology cognition in this influence relationship. Finally, based on the findings of the empirical study, this paper puts forward countermeasures and suggestions.

First, aging and off-farm employment have a significant negative impact on farmers’ adoption behavior of soil and water conservation technology, while social network has a significant positive effect. Second, social network has alleviated the effect of aging and off-farm employment on restraining farmers’ adoption behavior of soil and water conservation technology. Third, aging and off-farm employment have restrained farmers’ cognition of soil and water conservation technology. Social network has promoted farmers’ cognition of soil and water conservation technology. Social network plays a moderating role in the impact of aging and off-farm employment on farmers’ cognition of soil and water conservation technology. Technology cognition plays a mediating role in the impact of social network on farmers’ adoption behavior of soil and water conservation technology.

This paper integrates the aging, off-farm employment and social network into the same analytical framework and reveals their impact on farmers’ adoption behavior of soil and water conservation technology and its action mechanism, which enriches the impact of human capital and social network on farmers’ adoption behavior of soil and water conservation technology. Then taking the social network as a moderator variable, the paper verifies its moderating effect on the relationship of aging, off-farm employment and farmers’ adoption behavior of soil and water conservation technology. Farmers’ technology cognition should be included in the analysis framework to examine the impact of aging, off-farm employment and social network on farmers’ cognition of soil and water conservation technology. Taking the technology cognition as a mediator variable, the paper verifies its mediating effect on the relationship of aging, off-farm employment and farmers’ adoption behavior of soil and water conservation technology.

The purpose of this paper is to ensure the sustainability of the competitive advantages of internet financial enterprises. In recent years, driven by the two wheels of financial market and information technology, the internet finance has experienced an extremely rapid development.

Based on the performance expectation, effort expectation, social influence and purchase intention of UTAUT model, an empirical examination was conducted. Specifically, the authors made the user purchasing behavior as the dependent variable and added some new factors such as perceived risk, individual innovation and product cognition as the independent variables in the model, and they also added user gender and experience as regulated variables, so as to study the impact factors that affect the purchasing behavior. In addition, the authors also studied the impact of social network friend recommendations on consumers’ willingness to purchase.

The research results showed that effort expectation, performance expectancy, effort expectancy, purchase intention, awareness and individual innovation have a positive effect on the behavior of buying financial products, whereas the perceived risk has a negative effect on the behavior of buying internet financial products. Additionally, in the context of social networking, social network friend recommendations have a positive impact on consumers’ willingness to purchase.

This paper is based on the integrated technology acceptance model, which makes the user purchasing behavior as the dependent variable and adds some new factors such as perceived risk, individual innovation and product cognition as the independent variables. However, the research on recommendation between social network friends is not deep enough, so further improvement is needed.

This study can enrich the existing theories on the interpretation of the intention of using internet financial products, help internet financial enterprises understand user behavior and demands better, and improve service quality and customer satisfaction.

This study provides an empirical examination of UTAUT model and social network analysis.

The purpose of this paper is to combine triboelectric nanogeneration technology with ball bearing structure to achieve energy collection and fault monitoring.

In this paper, according to the rotation mode of ball bearings, the freestanding mode of triboelectric nanogeneration is selected to design and manufacture a novel triboelectric nanogeneration device Rolling Ball Triboelectric Nanogenerator (RB-TENG) which combines rotary energy collection with ball bearing fault self-sensing.

The 10,000s continuous operation experiment of the RB-TENG is carried out to verify its robustness. The accurate feedback relationship between the RB-TENG and rotation velocity can be demonstrated by the fitting comparison between the theoretical and experimental electrical signal periods at a certain time. By comparing the output electrical signals of the normal RB-TENG and the rotor spalling RB-TENG and polytetrafluoroethylene (PTFE) balls with different degrees of wear at 500 r/min, it can be concluded that the RB-TENG has an ideal monitoring effect on the radial clearance distance of bearings. The spalling fault test of the RB-TENG stator inner ring and rotor outer ring is carried out.

Through coupling experiments of rotor spalling fault of the RB-TENG and PTFE balls fault with different degrees of wear, it can be seen that when rotor spalling fault occurs, balls wear has a greater impact on the normal operation of the RB-TENG, and it is easier to identify. The fault self-sensing ability of the RB-TENG can be obtained, which is expected to provide an effective scheme for monitoring the radial wear clearance distance of ball bearings.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2024-0295/

This study aims to provide an in-depth overview of current research on artificial intelligence (AI) and analytics applications in library operations, emphasizing their adoption’s technical and social implications.

The study follows the PRISMA guidelines to synthesize existing research on AI and analytics in academic libraries. This review uses sociotechnical systems (STS) theory as a framework to evaluate the technical aspects and social dynamics involved in integrating these technologies.

The findings indicate that AI and analytics can significantly enhance library resource management, decision-making and user services. However, ethical, social and technical challenges, including staff training and collaboration, must be addressed to ensure responsible implementation.

This study provides the first STS-informed analysis focusing on applying AI and analytics within academic library operations. It offers actionable insights into these technologies’ unique applications and potential, bridging a gap in the literature on library-specific operational management.