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The purpose of this study is to respond to calls to increase levels of theory application and extend understanding beyond individuals ensuring social and structural environmental considerations are taken into account. Social cognitive theory (SCT) was applied across two settings to examine its potential to explain breakfast eating frequency.

A cross-sectional survey was conducted in two institutional feeding populations [military (n = 314) and mining (n = 235)]. Participants reported key SCT constructs including breakfast eating behaviour (self-efficacy, skills, practice), cognitive aspects (knowledge, attitude, expectations) and their perceptions regarding environmental constructs (access, social norms, influence). These were measured and analysed through SPSS and structural equation modelling (SEM).

Results indicated that 71% males and 90% females in the military do not eat breakfast at work, and in the mining, 23% males and 24% of females do not eat breakfast at work. Furthermore, SEM modelling found only a satisfactory fit for SCT as operationalised in this study. Within the models, behavioural aspects of self-efficacy, skills and practice were significant influences on breakfast eating. Cognitive influences and perceptions of environmental influences exerted little to no effect on breakfast eating. Study results indicate that SCT, as measured in this study using a selection of environment, cognitive and behavioural constructs, does not offer sufficient explanatory potential to explain breakfast eating behaviour.

The value of this paper is to deliver a complete application of Social Cognitive Theory, ensuring multiple constructs are measured to examine the explanatory behaviour of breakfast eating frequency in workplace institutional settings.

How do cognitive aspects influence the use/non-use of accounting information by the politicians? The purpose of this paper is to conceptualize and theorize the readiness to use and the actual use of accounting information in relation to the human and social agency involved.

Applying cognitive fit theory and social cognitive theory, the authors explain how cognition of accounting information producers and users relates to their tasks and their environment. Analyzing cognitive matching, the authors develop accounting information usefulness as a function of the cognitive match between the accounting information producers and users.

The theoretical findings posit that cognitive fit increases with the degree of matching between the cognition of accounting information producers and the cognition of accounting information users. The theory proposes that enriching and matching the various cognitive factors lead to formation of more aligned mental representations to govern the processes of accounting information production and use as a prerequisite for the accounting information usefulness.

By theorizing human cognition, behavior and learning, the authors seek to contribute to the explanation and prediction of accounting information use. Future research needs to empirically validate and/or further develop the propositions.

Practically, the conceptualization can be used to align individual and collective learning on both sides and to introduce information use audit as an instrument for supporting collective learning.

The theory of accounting information usefulness is the first attempt in public sector accounting literature to explain the relation of production and consumption of accounting information in relation to the cognition of the actors involved.

This study is an attempt to explore the determinants of entrepreneurial intentions in the context of family business background. There is a dearth of studies on the relationship between family business and entrepreneurial intentions. Three constructs of social cognitive theory (SCT) have been applied as mediators: self-efficacy, subjective norms and outcome expectations.

To measure entrepreneurial intentions, the data have been collected from the postgraduate students of three universities in Pakistan. The questionnaire was distributed among the respondents, and 416 complete responses were taken from the students. Simple random sampling has been applied, and measurement and hypothesized models are tested by using the structural equation modeling technique in WarpPLS.

The results of this research reveal that family business background significantly affects the three elements of SCT (self-efficacy, subjective norms and outcome expectations), which further develop the individuals’ entrepreneurial intentions (EIs). The results showed that social cognitive elements are the underpinning mechanism that explains the relationship between family business background and EIs.

The similarity of the study is less than 18%.

The focus in this study is a model that predicts continuance intention of online multi-player games. In this integrated model, the social cognitive theory (SCT) lays out the foundation of two types of pre-use (pre-play) expectations, the flow theory captures the affective feeling with the game as a moderator for the effect from the two pre-use expectations, and subjective norm together with its associated antecedents cover a wide spectrum of social influences.

A questionnaire was designed and pre-tested before distributing to target respondents. The reliability and validity of the instrument both met the commonly accepted guidelines. The integrated model was assessed first by examining its measurement model and then the structural model.

The integration of cognitive, affective and social influence in this model explains a larger amount of variance compared to the competing models and existing studies.

Unlike a popular trend that studies predictors of online games from either cognitive or affect angle, the work looks at both together to study how their joint effect is related to continuance intention. This marks an important improvement as cognitive expectations derived from SCT captures the pre-use experience that may be influenced or swayed by sources including those that are inflated or incorrect. By studying flow as a moderator in conjunction with other sources of influence, the authors are able to further the understanding of how the pre-use expectations may be shaped by one's own experience.

Gamification has gained popularity in social marketing research; however, its application remains limited to a few contexts, and relatively little is known about how innovative gamification technologies such as augmented reality can be applied to social marketing programme design. This paper aims to demonstrate the application of gamification to a social marketing pilot programme designed to increase children’s empathy and empathic behaviour.

Informed by social cognitive theory (SCT), a mixed-method research design was adopted using pre- and post-programme surveys (n = 364) to assess effectiveness using paired samples t-test. Qualitative data included observations, participant’s questions and a feedback activity at the end of the programme. A thematic analysis was undertaken to examine the data and detect meaningful insights.

Children’s affective empathy and empathic behaviour outcomes were improved following the pilot programme. However, no effects were observed for cognitive empathy and social norms. Thematic analysis revealed three themes to further improve the game: developmentally appropriate design, user experience and game design.

Findings demonstrated challenges with the application of SCT outlining a disconnect between the design of the gamified programme and theory application.

This study provides initial evidence for the application of innovative gamification technologies to increase empathy in children.

To the best of the authors’ knowledge, this paper is the first to examine how a gamified social marketing programme can increase empathy in children.

The purpose of this paper is to explore the start-up intention among the female population in Saudi Arabia using the social cognitive theory (SCT).

This paper is based on the Global Entrepreneurship Monitor nationwide survey of 1,835 adult females in 2017. This is one of the most comprehensive surveys for assessing the start-up climate across the globe including Saudi Arabia. The data have been analyzed using simple techniques such as chi-square statistics, correlation, and logistics regression. The factors affecting start-up intentions have been identified using the social cognitive theory (SCT).

Out of 1,835 adult females surveyed under Global Entrepreneurship Monitor, 568 of them have reported start-up intention, i.e. 31.9 percent. The profile of females with and without start-up intention has been mapped in terms of age, family size, working status, education level, region, and citizenship to understand the potential group. The results of the correlation coefficient indicated a significant and positive relationship between start-up intention (SI) among females and self-efficacy (SE), career choice (CC), employment generation (EG), and social welfare (SW). The regression estimates proved that both the constructs, i.e. self-efficacy beliefs and outcome expectations of the social cognitive model are positive and significant.

The result of this paper provides empirically meticulous evidence for understanding the start-up intention of females in Saudi Arabia based on the social cognitive theory. This study provides a key strategy for changing the start-up ecosystem for females in the Kingdom of Saudi Arabia. By focusing on the required knowledge, skill, and experience among females belonging to young, small family size, not-working and having higher family income may provide better start-up intention for all those who are willing to venture into a new business as a career choice, have the intention to create jobs and wish to solve social problems.

Considering the current focus of the government for establishing a knowledge-based economy by promoting new programs in the kingdom for start-ups and SMEs, the findings of this research can be valuable for the rapid acceleration of a new model of growth supported by the grass-root rise of women entrepreneurs.

This study uses a comprehensive theoretical framework that combines social cognitive theory and neighborhood effect to investigate the influence of neighborhood effects on farmers’ outcome expectations, observational learning and self-efficacy. This study aims is to analyze the mechanisms that underlie the adoption of social media by farmers for knowledge exchange in the agricultural context. Specifically, this research explores the role of neighborhood effects, outcome expectations, observational learning and self-efficacy in shaping farmers’ decision-making process regarding the use of social media platforms for exchanging agricultural knowledge.

The study data was collected through a sample survey conducted among 570 agricultural households residing in the provinces of Thai Nguyen, Cao Bang, Bac Kan and Phu Tho, located in the northern region of Vietnam. To analyze the data, structural equation modeling was used as the statistical technique of choice.

The findings of the study indicate a significant influence of neighborhood effects on outcome expectations, observational learning and self-efficacy. These factors, derived from social cognitive theory, also exhibit a positive association with farmers’ adoption of social media for knowledge exchange. Additionally, the study highlights that neighborhood contribute to a favorable adoption of social media among farmers via outcome expectations, observational learning, and self-efficacy.

The study is limited in examining farmers’ social media adoption for agriculture knowledge exchange in Northern mountainous area of Vietnam. This study could be replicated across various regions or nations, providing comparative insights into the adoption of social media among farmers for knowledge exchange.

The study findings suggest practical and innovative means to promote farmers’ social media adoption for agriculture knowledge exchange.

This study presents a pioneering approach by integrating social cognitive theory and neighborhood effect to elucidate the factors influencing farmers’ adoption of social media for the purpose of agriculture knowledge exchange.

To understand the mechanisms underlying social media discontinuance behavior, this study explores factors affecting social media discontinuance behavior from the perspective of social cognitive theory (SCT).

Based on SCT, this study puts forward a theoretical model incorporating habit, excessive use and negative emotions to predict social media discontinuance behavior. The proposed research model was empirically tested with 465 responses collected from WeChat users in China via an online survey. WeChat is one of the most popular social media in China. However, WeChat also faces the challenges of reduced or terminated usage among its users. Partial least squares structural equation modeling (PLS-SEM) technique was used to analyze the data.

The research results in this study show that habit exerts a negative effect on social media discontinuance behavior, while exhaustion and regret have positive influences. In addition, habit positively affects excessive use, which further leads to negative emotions of social media exhaustion and regret. Moreover, gender moderates the relationship between habit and social media discontinuance behavior.

This study adds to the literature of information system (IS) use lifecycle by investigating user behavioral changes regarding a transition from habituated to excessive use and further to discontinuance behavior. This study also helps elucidate the complex role of habit by explaining social media discontinuance from the social cognitive view. Furthermore, this study advances the current understanding of gender difference in social media discontinuance in the Chinese context. The study also offers insights to practitioners on how to prevent individuals from discontinuing their use of social media.

India has witnessed a significant surge in internet users in recent years, creating an ideal environment for E-entrepreneurship. With the rise of E-commerce and the growth of the digital economy, there is tremendous potential for online businesses in developing nations. Our study outlines the behavioral, cognitive, and environmental aspects shaping students' E-entrepreneurial intentions (EEI).

Our study incorporated structural equation modeling (SEM), social cognitive theory (SCT), and entrepreneurial event model (EEM) to evaluate the EEI of 460 students from India's top five engineering institutes. The direct and indirect linkages in the model were examined by employing mediation and moderation analysis.

Our findings reveal that behavioral, environmental, and cognitive factors facilitate evaluating feasibility, further igniting students' EEI. The cognitive factors and E-entrepreneurial feasibility (EEF) mediate the relationship between the underlying constructs. Furthermore, financial resource availability (FRA) strengthens, and loss aversion bias(LAB) weakens the linkage between EEF and EEM.

The study's findings may benefit online innovation communities, potential technopreneurs, financial institutions, and policymakers in improving the entrepreneurial ecosystem.

The study integrates psychological and sociological perspectives to understand the key facilitators of EEF and EEI. The study combines SCT and the EEM by appending crucial constructs such as FRA and LAB to broaden the horizons of EEI.

The purpose of this paper is to analyse the factors which influence value co-creation intention through customer engagement during the COVID-19 pandemic. This paper studies the online modest fashion small- and medium-sized enterprises (SMEs) in Egypt as a Muslim country.

This paper is based on the social cognitive theory (SCT) and the literature to develop a theoretical framework of the factors influencing customers’ value co-creation intention on social media. The framework is then tested quantitatively through structural equation modelling based on partial least squares method (SEM-PLS) approach using the SmartPLS software.

The empirical analysis supported the SCT through the following conclusions: first, regarding the subject factors, self-efficacy has a positive significant effect on all dimensions of customer engagement and outcome expectation has a positive significant effect on cognitive customer engagement. Concerning the environmental factors, community experience has a positive significant effect on affective and behavioural customer engagement, whereas content quality has a positive significant effect on affective customer engagement. Second, customer engagement is a significant mediator through the dimensions of affective and behavioural customer engagement.

The findings of this study can help online modest fashion SMEs better comprehend the factors which influence the customers’ engagement for value co-creation intention whether it is subject factors or environmental factors. Therefore, they can better operate online and encourage customers to contribute to the development of new products and services and hence achieve a competitive advantage and survive in times of COVID-19.

Most of the existing studies focused on the value co-creation behaviour and output. However, there is limited research focusing on what contributes to the customers’ engagement for value co-creation intention, especially for online modest fashion and Muslim countries. Therefore, this study attempts to examine and bridge this research gap.