Influence Of Social Learning Research Articles

The Influence of Experiential Learning, Social Learning, Formal Learning on Improving the Performance of PT Bank Negara Indonesia (Persero), Tbk Employees in the Central Sulawesi Area Region 11 Manado With Digital Mindset as an Intervening Variable

The aim of this research is to examine and analyze the influence of experiential learning on digital mindset, the influence of social learning on digital mindset, the influence of formal learning on digital mindset, the influence of experiential learning directly and indirectly through digital mindset on employee performance, the influence of social learning directly and indirectly through digital mindset on performance employees, the influence of formal learning directly and indirectly through digital mindset on employee performance, the influence of digital mindset on employee performance. This research is a descriptive type with a quantitative analysis method. The sample in this study was 163 employees from the Parigi, Palu, Luwuk and Tolitoli branch offices. The research instrument was tested using validity tests and reliability tests, while the data analysis technique used descriptive analysis, regression analysis and path analysis which were arranged in structural equation modeling (SEM) using the smart PLS application. The research results showthat; 1) experiential learning has a significant effect on digital mindset; 2) Social learning has a significant effect on digital mindset. 3) formal learning has a significant effect on digital mindset; 4) experiential learning directly has a significant effect on performance and experiential learning indirectly through digital mindset has a significant effect on performance; 5) social learning has a significant effect on performance and social learning indirectly through digital mindset has a significant effect on performance, 6) formal learning has no significant effect on performance and formal learning indirectly through digital mindset has a significant effect on performance; 7) digital mindset has a significant effect on performance.

Can Social Learning Promote Farmers’ Green Breeding Behavior? Regulatory Effect Based on Environmental Regulation

Farmers’ green breeding behavior is significant to environmental protection and sustainable development. Based on the micro-survey data of 1248 beef cattle farmers in Inner Mongolia Autonomous Region and Jilin Province, the OLS model and regulatory effect tests are used to analyze the influence of social learning on farmers’ green breeding behavior and to verify the mechanism of environmental regulation. Key findings include the following: (1) Social learning has a significant positive impact on farmers’ green breeding behavior. (2) Social learning has a significant positive impact on farmers’ willingness to undertake green breeding, farmers’ specific behavior of green breeding, and farmers’ continuous green breeding, among which the effect on specific behavior of green breeding is the most positive. (3) Environmental regulation plays a moderating role in the relationship between social learning and farmers’ green breeding behavior, among which all sub-dimensions of environmental regulation (incentive-based environmental regulation, binding environmental regulation and guided environmental regulation) have positive reinforcing effects, especially the most significant reinforcement effect of binding environmental regulation. Based on the research conclusions, this study proposes policy suggestions such as strengthening the training of farmers, strengthening the learning and communication among farmers’ neighbors, increasing the frequency of farmers’ use of mass media, improving the environmental regulation policy system, and promoting the coordinated development of environmental, economic, and social benefits.

Low-carbon energy transition multi-agent network evolutionary under carbon trading scheme.

Transitioning to low-carbon energy is key for reaching carbon neutrality and modernizing our energy systems, but it presents significant cost-related challenges for energy businesses. To foster optimal outcomes, this paper develops a game model including power generators, high-energy businesses, and consumers in the carbon trading framework. The model explores how different entities evolve their low-carbon strategies under social learning influence to optimize utility. Stability analysis of strategy and simulation experiments reveal the following findings: (1) Greater carbon quotas reduce power generators' low-carbon transition willingness while high-energy-consuming enterprises and consumers remain unchanged. (2) Higher prices for low-carbon products offered by high-energy-consuming enterprises boost low-carbon transition motivation across all parties. (3) Increased green premiums enhance revenue for all parties but are constrained by policy and carbon pricing. (4) Both direct and indirect increases in carbon emissions negatively impact the revenue and utility for all stakeholders. (5) Increasing social learning effect fosters a shift towards low-carbon strategies, accelerating the attainment of game equilibrium, and enhancing market stability and sustainability. This research provides decision support for carbon trading policy design and low-carbon transition of energy enterprises.

Geographical peer effect in serial mergers and acquisitions: The influence of social learning and director network.

Based on the serial mergers and acquisitions(M&A) data of Chinese A-share listed companies from 2010 to 2019, this paper discusses whether there are geographical peer effects in serial M&A, and tests its mechanism and influence path. The empirical study shows that geographical peer decision-making has geographical peer effects in the decision-making of serial M&A, and the average number of serial M&A of geographical peers has a significant positive impact on the serial M&A decision-making of focal firms. Social learning and director networks are essential to produce geographical peer effects in serial M&A. The external learning mechanism shows that the geographical peer effect of serial M&A decision-making is partly caused by backward firms' social learning to the leading peer firms' decision-making, but vice versa. The director network relationship of focal firms can positively moderate the relationship between the geographical peer firms' average serial M&A decision-making and the focal firm's serial M&A decision-making. This paper reveals the mechanism of geographical peer effect in serial M&A decision-making and provides a new perspective to understand the motivation of serial M&A decision-making. These empirical findings not only provide important empirical evidence on serial M&A from developing countries such as China, but also provide a valuable reference for decision-makers and researchers of serial M&A in the future.

Balancing act: how corporate accounting disclosures and social learning shape corporate image in Taiwan

This research explores how Corporate Accounting Disclosure (CAD) affects the corporate reputation (CR) of publicly traded Taiwan companies, with special emphasis on the moderating influence of social learning (SL). While Corporate Accounting Disclosure and social learning serve as the independent and moderating variables, respectively, corporate reputation is the study's dependent variable. A sample of 125 companies, listed on the Taiwan Stock Exchange Corporation (TWSE), was selected for this study. Our findings suggest that Corporate Accounting Disclosure positively correlates with corporate reputation, as does social learning. Interestingly, the anticipated moderating effect of Social Learning on the association between Corporate Accounting Disclosure and Corporate Reputation was not observed. Future research endeavors may delve deeper into the underlying reasons for this phenomenon by adopting a multifaceted approach of longitudinal studies and cross-cultural analysis. The study also offers in-depth discussions of its findings and clearly outlines its theoretical and practical implications. It concludes by offering recommendations and charting potential avenues for subsequent research.

How does social learning influence Chinese farmers’ safe pesticide use behavior? An analysis based on a moderated mediation effect

Green production in agriculture is a critical project for achieving the United Nations 2030 Sustainable Development Goals (SDGs). Using pesticide safety as an entry point, this paper explores safe agricultural production and proposes initiatives from the origin source, which are essential to address multiple SDGs, including food security, health, and the environment. Using research data encompassing 612 peasant households in Sichuan province, China, this paper examines the mechanisms of social learning on farmers' safe pesticide use behavior employing exploratory factor analysis, Oprobit model, and Bootstrap method. The results show that social learning has significantly positive effects on farmers' safe pesticide use behavior, with each additional point of social learning contributing to a 3.411% increase in the chance of taking 6 safe pesticide use behavior. The effect sizes of different social learning styles were in the order of role demonstration, neighborhood communication, and participation in training, but proactive learning by consulting did not work significantly. Furthermore, perceived value has a positive mediation effect in social learning to impact farmers' safe pesticide use behavior, accounting for 34.53% of mediation effect. Finally, the market conditions can positively moderate the mediation effect of perceived value on farmers' safe pesticide use behavior, i.e., the better the accessibility to green production materials, marking and pricing stabilization, the stronger the effect of perceived value on safe pesticide use behavior. However, information access doesn't work that way. Therefore, in the future, the government must encourage farmers to participate in social learning and improve their perceived value, as well as play a macro-control role and fulfill market conditions.

The Factors Influencing the Idea Recognition of Open Innovation Platforms: Take LEGO Ideas as an Example

With the influx of users posting their ideas to Open Innovation Platforms (OIPs), there has been widespread interest in how companies screen high-quality ideas. Most of the existing literature on idea quality focuses on the adoption of ideas by companies, while ignoring the recognition among users. Based on the ideas posted by users of LEGO Ideas, this study first analyzes the influence of users’ social learning and social network on their innovation ability, and then further investigates the influence of idea authors’ innovation ability and idea content’s characteristics on idea recognition based on signal theory. The findings suggest that more challenging social learning as well as weighted indegree and betweenness centrality of social network positively affect users’ innovation ability and weighted outdegree of social network negatively affects users’ innovation ability. Meanwhile, idea authors’ innovation ability and the number of pictures, text length, richness, popularity, and emotional polarity of idea content positively affect idea recognition. Distinct from the existing literature, this paper focuses on idea recognition among users, delves into the influence of social learning and social network on users’ innovation ability, and integrates the study of factors influencing users’ innovation ability into the study of factors influencing idea recognition.

Risk Cognition, Social Learning, and Farmers’ Adoption of Conservation Agriculture Technology

Soil degradation and declining soil fertility are prominent issues for sustainable agricultural development in China. Therefore, it is of great significance to promote the adoption rate of conservation agriculture technology. Risk cognition and technology adoption are closely related, but this perspective is rarely focused on, and it is essential to discuss the influence of social learning on the impact. The Loess Plateau is a representative area for promoting and implementing conservation agriculture techniques. By collecting face-to-face survey data from 1268 farmers in Shaanxi, Shanxi, and Ningxia provinces in China, this study used the binary probit model to examine the impact of risk cognition on the adoption of conservation agriculture technology and the influence of social learning on the impact. The results showed that risk cognition has a significant positive impact on the adoption of conservation agriculture technology; social learning significantly enhances the effect of risk cognition on farmers’ adoption of conservation agriculture technology. Both offline practical learning through “learning by doing” and online learning with ICT play an important moderating role in the impact; a high level of social learning enhances risk cognition to a greater extent and promotes enthusiasm for adopting conservation agriculture technology. Therefore, the value of farmers’ risk cognition should be considered in promoting and implementing conservation agriculture technology. Moreover, expanding offline and online social learning channels is crucial to improve farmers’ risk cognition and promote the adoption of conservation agriculture technology.

Promotion methods, social learning and environmentally friendly agricultural technology diffusion: A dynamic perspective

Encouraging farmers to adopt environmentally friendly technology through the rational use of social learning and agricultural technology extension is an effective way to overcome the bottleneck caused by the slow diffusion of environmentally friendly technology. Based on expanding the existing objects of research on farmers’ technology adoption behavior, this paper examines the influence of social learning and agricultural technology extension on farmers’ environmentally friendly technology adoption behavior from a dynamic perspective. In doing so, it enriches theoretical and empirical research on farmers’ technology adoption behavior. Specifically, this paper takes fertigation technology as an example, constructs a dynamic analysis framework that is independent of the case study, and finds that social learning and agricultural technology extension, as the main channels for farmers to obtain technical information, can shorten the duration from awareness to the adoption of fertigation technology. Then, based on survey data, this paper uses the discrete-time cloglog model to conduct an empirical test. The empirical analysis supports the theoretical analysis results, and there is a complementary effect between social learning and traditional and new agricultural technology extension. Heterogeneity analysis shows that social learning and new agricultural technology extension have a greater marginal improvement effect on farmers’ fertigation technology adoption behavior in the middle-aged to young group, middle and high education degree group and above median land scale group. This paper provides not only new empirical evidence to explain farmers' technology adoption behavior under the background of the internet revolution but also a decision-making reference for how to accelerate the construction of multivariate complementary, collaborative and efficient agricultural socialized service systems.

Modelling the influence of social learning on responsible consumption through directed graphs

<abstract> <p>This study examines the impact of social learning on consumption and production decisions in a societal context. Individuals learn the actual value of nature through information and subsequent network communication, which is illustrated using the Directed Graph theory and DeGroot social learning process. In this context, individuals with greater access to private information are called "neighbours." Results suggest that in a perfectly rational scenario, individuals have high confidence in their abilities and base their decisions on a combination of personal experience, perception, and intellect; thus, society is expected to converge towards making responsible consumption choices $ {\mathrm{R}}_{\mathrm{c}}^{\mathrm{*}} $. However, when individuals are bounded or irrational, they exhibit persuasion bias or stubbornness, and diversity, independence, and decentralization are lacking. It leads to a situation where the consumption network lacks wisdom and may never result in responsible consumption choices. Thus finite, uniformly conspicuous neighbours will swiftly converge towards the opinion of the group. When a large proportion of individuals consume excessively (extravagance) or below the optimal level (misery), the consumption network is dominated by unwise decision-makers, leading to a society that prevents promoting sustainability. In conclusion, this study emphasizes the need for a more rational and informed decision-making process in promoting a sustainable future.</p> </abstract>

The Impact of Beta (ß) Value in Measuring Social Learning Influence on The Behaviour of Muslim Adolescents

Social learning factor is a reflection of the numerous existing social environment factors. It exists in the environment together with human’s internal natural process and it may significantly affect human’s behavioural development. The impact can occur directly or indirectly. A human being will be found different based on the environment in which he or she is. Whoever finds himself in an environment and education that helps him towards goodness, then he is more likely to be a good group and vice versa. Therefore, a good environment is necessary to produce good morals. Now the development of the industrial revolution 4.0 dominates everything and also affects Muslim children in their social environment. This study focuses on the dominant factors in social learning which influence the behaviour of Malaysian adolescents. Five social environment factors are identified as being significant in the development of the adolescents’ behaviour; they are: parents, peers, teachers, artistes and school culture. This study which employs both quantitative method and survey involves 16-year-old respondents totalling 1504 from all over peninsula Malaysia. Data from this study are analysed both descriptively and statistically with the mean, standard deviation and double regression at (p<0.05). Results from the double regression analysis showed that the most dominant factor in moulding the behaviour of the adolescents is peers followed by school culture, parents, teachers and artistes. Even though the artistes’ factor is the least dominant, based on the Beta value, it may negatively affect the behavioural development compared to other social environment factors. Keywords: Beta value; social learning; Islamic education; behaviour; Muslim adolescents

The influence of social learning on Chinese farmers’ adoption of green pest control: mediation by environmental literacy and moderation by market conditions

The influence of social learning on Chinese farmers’ adoption of green pest control: mediation by environmental literacy and moderation by market conditions

How do education and social learning influence moral development in the United States?

How do education and social learning influence moral development in the United States?

How do education and social learning influence moral development in the United States?

How do education and social learning influence moral development in the United States?

Social Learning, Social Bonds, Self-Control and Adolescent Nicotine Vaping

Objectives The aim of this study was to examine whether three theories of adolescent substance use—social learning, social bonding, and self-control—were useful for predicting adolescent nicotine vaping. Methods: The analysis utilized data on U.S. 8th and 10th grade students from the 2017 and 2018 Monitoring the Future (MTF) studies, repeated cross-sectional surveys that included 11,624 youth who responded to questions about past 12-month nicotine vaping. Measures from each of the three theories were used to predict the outcome using a zero-inflated negative binomial model. Results: The results demonstrated that variables from social learning and self-control theories were key predictors of nicotine vaping. Friends’ substance use appeared as the most consequential predictor, followed by low self-control or higher risk-taking propensities. An interaction effect also suggested that friends’ substance use had a stronger association with nicotine vaping among youth who reported higher self-control. Conclusions/Importance: The findings suggested that adolescent nicotine vaping is a consequence of social learning influences and low self-control. Future research should explore these and similar factors in more detail.

Risking and Securing Out of School Children: Parents’ Perspective in a Semi-Urban Community

The present research article deals with the perspective of parents regarding the future of their out of school children and their concept of educational development. Qualitative research techniques which includes in-depth interviews, participant observation and FGDs were used for data collection. Bari Imam, near Quaid i Azam University Islamabad was the research site. Purposive sampling technique was used and only those parents were chosen who had out of school children. To understand the parents’ perspective about out of school children, the concepts have been borrowed from Social Learning Theory, which has three major components e.g. observation, imitating and then modeling. Results of the study indicated that parents had serious reservations about the educational system of Pakistan and the future outcome of education. They preferred short-term to boost their household economy rather than a long term investment on their children’s education which is necessary for the social as well as the personal development. Under the influence of social learning, parents imitating others started sending their children to acquire technical skills, which brought early monetary rewards. Study concluded that, parents were forced to send their children for earning rather than to the schools. Mainstream culture prevailing in the area was to send the children for vocational and technical trainings for rapid monetary benefits. In the current scenario the natives influenced each other which was positive in the context of money and rewards, but negative for the child’s educational development.

Influence of social learning on the completion rate of massive online open courses

Massive open online courses (MOOCs) are now well-established as a highly effective, flexible and large participation capacity distance learning tool. They have enabled unprecedented access to educational material for millions of people worldwide, however, still suffer from significant student non-completion. Various theories have been proposed but we still lack a comprehensive understanding of why such attrition occurs. Herein we have analysed data from all MOOCs offered by the University of Exeter (UK) in 2018 in order to investigate whether “Social Learners” (i.e. those which comment on MOOC forums) exhibit differential non-completion than “Non-Social Learners”. Results demonstrate that the former are considerably more likely to complete MOOCs, with median steps (i.e. “click points” within each MOOC) accessed (as a percentage of total steps) for Social and Non-Social Learners ranging from 50 to 100% and 9–46% respectively. In addition, the number of Non-Social Learners enrolled onto each MOOC was consistently greater than the number of Social Learners, with ratios of Non-Social Learners to Social Learners for each MOOC ranging from 1.75–11.30. Results therefore suggest that whilst Social Learners are in the minority Social Learning is an important tool to prevent student attrition. More research is therefore required in order to further understand the multifaceted value of Social Learning (i.e. technical vs purely social) in order to inform future MOOC design to maximise such benefits for students.

Ontogeny of an interactive call-and-response system in Spix's disc-winged bats

We investigated the ontogenetic changes of two call types, the inquiry call and the response call, which comprise an interactive communication system in Spix's disc-winged bats, Thyroptera tricolor. We documented structural changes on both inquiry and response calls during ontogeny by recording single individual vocalizations in a flight cage and triggering response calls with playbacks of adult inquiry calls. Most ontogenetic changes in response calls were sex dependent. In addition, individuality was high for both call types across age categories. Despite the observed changes during development, both call types resembled the structure of adult calls from early ontogenetic stages, suggesting little influence of social learning in call development. Finally, we found sex dependent ontogenetic changes and high levels of individuality of calls early in life, which may indicate additional functionality in sex and pup recognition. Overall, the findings bring novel insight into the complex developmental process of the call types comprising the communication systems of Spix's disc-winged bats, and contribute to a better understanding of signal development in complex social communication systems.

Power Indices in the Context of Social Learning Behaviour in Social Networks

This paper puts forward the concept of integrated power, synthetically measures the voters’ ability to influence the results of decision-making by influencing others through social learning, considering the interactions between decision-makers in social networks, and offers a method for measuring integrated power. Based on the theory and model of social learning, we analyze the influence of social learning on the voting process and power indices from the perspective of individuals’ professional level, position within the social network structure, relationship closeness, and learning efficiency. A measurement model of integrated power is constructed, and the variation in integrated power compared with that of the Banzhaf index is analyzed by numerical simulation. The results show that when the individual’s professional level is higher and closeness with neighboring decision-makers is greater, then the integrated power index is higher. An individual’s integrated power index may decrease when he/she changes from an isolated node to a nonisolated node, and then his/her integrated power will increase with the increases of neighbor nodes. Social learning efficiency can promote the integrated power of individuals with lower social impact and relationship closeness, but it is not beneficial for the core and influential members of the social network.

A critical comparison of factors affecting science and technology students’ entrepreneurial intention: a tale of two genders

This study assesses the influence of gender differences in the formation of entrepreneurial intention. Specifically, we investigate how culture and gender influence factors responsible for entrepreneurial intention development. A sample of 414 science and technology students from the world’s fourth most prominent entrepreneurial university completed surveys. Structural Equation Modeling was used to analyze the data. Results show that the influence of social learning on entrepreneurial intention was mediated both by personality traits and entrepreneurial knowledge, whereas the effect of university-level determinants on entrepreneurial intention was mediated only through entrepreneurial knowledge. Strong support for the moderating role of gender was found.