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The purpose of the paper is to explore Chinese women entrepreneurs’ perceptions of governance within the Shanghai fashion entrepreneurial ecosystem (SFEE) and identify whether policy is effective and inclusive of women entrepreneurs, potential barriers and if implementation is proceeding as planned.

We used an adaptive qualitative method incorporating a traditional case study utilizing a thematic analysis with a feminist approach to policy analysis. The case study is based on original data from ethnographic practices with a purposive sample of 15 fashion entrepreneurs and triangulated with six political elites within the SFEE.

The findings indicate that women fashion entrepreneurs perceive effective governance of the SFEE, legitimizing top-down policies and resources as the “right time” for them to be women and entrepreneurs in Shanghai. Entrepreneurs claim “I am human,” asserting gender equality in business but with circumstantial gender roles that can limit access to important resources.

A single industry, the SFEE, limits the generalizability of the findings. Additionally, did the respondents feel comfortable with the truth? True to communist nations, citizens have few opportunities to voice opinions and public dissent is discouraged. However, we took steps to protect anonymity and excluded potentially sensitive questions dealing with geopolitical strife.

The study outlined six SFEE governance challenges and feminist policy responses that will strengthen the future of women’s entrepreneurship. The study can introduce classroom discussions on gender dynamics and entrepreneurship in the global context. This can help students understand the unique challenges women face, such as access to funding, networking opportunities and societal expectations, and how these factors influence the global supply chain.

The case study has several contributions, including a novel entrepreneurial ecosystem (EE) governance framework and the first study to endorse the voice of Chinese women entrepreneurs operating within the Shanghai fashion industry. Further, we contextualize entrepreneurship using anthropological methods. Lastly, the analysis and understanding of SFEE policies have the potential to improve women’s lives, their families and communities.

This study aims to address the following objectives: determine the pro-environmental behavior of students and professors engaged in the course Sustainable Tourism; determine the pro-environmental behavior component of the professor that has the highest influence on the pro-environmental behavior of students; and formulate a model describing the components of the pro-environmental behavior of the professor with significant influence on the pro-environmental behavior of students. It also evaluates the norm-activation-theory-aligned pro-environmental behavior of the course's instructor and the students taking the course after they participated in the course Sustainable Tourism.

A correlational analysis using the partial least squares structural equation modeling approach was conducted in the survey results to determine the specific components of the professor's pro-environmental behavior that influenced the students' pro-environmental behavior.

Situational responsibility, efficacy and denial of responsibility were proven more influential in shaping students' pro-environmental behavior. This implies that students learn and adopt a pro-environmental orientation through role modeling and practical application, not by knowledge acquisition.

This could improve the body of knowledge on pro-environmental behavior by analyzing the reciprocal relationships between the person who delivers the course that instills pro-environmental behavior and students who learn from their professors using the norm activation theory.

Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people express their views and sentiments toward politicians and political issues on social media, thus enabling them to observe their online political behavior. Therefore, this study aims to investigate user reactions on social media during the 2016 US presidential campaign to decide which candidate invoked stronger emotions on social media.

For testing the proposed hypotheses regarding emotional reactions to social media content during the 2016 presidential campaign, regression analysis was used to analyze a data set that consists of Trump’s 996 posts and Clinton’s 1,253 posts on Facebook. The proposed regression models are based on viral (likes, shares, comments) and emotional Facebook reactions (Angry, Haha, Sad, Surprise, Wow) as well as Russell’s valence, arousal, dominance (VAD) circumplex model for valence, arousal and dominance.

The results of regression analysis indicate how Facebook users felt about both presidential candidates. For Clinton’s page, both positive and negative content are equally liked, while Trump’s followers prefer funny and positive emotions. For both candidates, positive and negative content influences the number of comments. Trump’s followers mostly share positive content and the content that makes them angry, while Clinton’s followers share any content that does not make them angry. Based on VAD analysis, less dominant content, with high arousal and more positive emotions, is more liked on Trump’s page, where valence is a significant predictor for commenting and sharing. More positive content is more liked on Clinton’s page, where both positive and negative emotions with low arousal are correlated to commenting and sharing of posts.

Building on an empirical data set from Facebook, this study shows how differently the presidential candidates communicated on social media during the 2016 election campaign. According to the findings, Trump used a hard campaign strategy, while Clinton used a soft strategy.

The aim of this paper is to examine trust, commitment and social sustainability (SS) in agri-food supply chains (AFSCs) in an underexplored context, an emerging country. This adds to the literature on the benefits of trust and commitment in AFSCs.

Within four counties in Kenya — Nairobi, Machakos, Kiambu and Kajiado — 85 abattoirs and 164 traders were surveyed as part of data collection. Hypotheses were proposed, and partial least squares structural equation modelling (PLS-SEM) was used to test them.

The findings indicate that trust (benevolent and credibility trust) as well as commitment (affective and continuance commitment) have a positive direct relationship with SS.

The study underlines how important trust and commitment are in improving the social well-being of AFSC actors. They enhance collaboration which empowers them to improve social welfare of the supply chain.

The study is one of the first to examine the effect of trust and commitment on SS within AFSC, a novel contribution to SS literature. It differentiates between types of trust (benevolent and credibility trust) and commitment (affective and continuance commitment), giving a clearer understanding of how each of the variables impact SS. The findings offer new insights into the relationship between trust and commitment in improving social sustainable practices in AFSCs.

In online courses, asynchronous discussions are a common course activity that helps build community, explore concepts and provide an opportunity for formative feedback.

This case study explored engagement patterns in the Yellowdig platform used in an introductory-level chemistry class. Data were examined using Z scores, multiple regression, ANOVA and non-parametric testing to identify the impact of student activity on discussion and summative assignment grades.

Profiles of learner engagement were identified using the interactive, constructive, active and passive (ICAP) cognitive engagement framework. These profiles can be used as predictors of student performance. Moderately high and moderately low activity groups scored significantly better than low or significantly low activity groups.

This study unveils distinct learner engagement profiles linked to performance outcomes, providing valuable insights for online course design and pedagogical practice.

This study examines the condition of working women within Oman’s socioeconomic framework, emphasizing their underrepresentation in senior management, the effects of workplace constraints on career progression and solutions to enhance opportunities for women in leadership roles.

The study used a mixed-methods approach, incorporating both quantitative and qualitative analyses. The quantitative phase involved a survey of 215 Omani professionals − 87 male and 128 female, with data analysed using IBM SPSS 28 and SmartPLS 4. Analyses included measures of central tendency and deviation as well as PLS SEM-based path analysis and multigroup analyses.

The inclusion of women positively influences their career advancement, while harassment and gender discrimination hinder progress. Gender discrimination has a more substantial effect at lower and middle levels but is less impactful at the top level. Harassment affects women over 40 more significantly, with little impact on younger women. Additionally, domestic gender roles particularly hinder the career advancement of women in the 31–40 age group.

The practical consequences encompass the establishment of mentorship programmes, the provision of networking opportunities and the promotion of gender equity awareness. These programmes promote an inclusive workplace, facilitating women’s professional growth. Mentorship and networking offer crucial assistance and connections, whereas growing awareness of gender biases fosters equity and equal treatment for all employees. These initiatives jointly foster a more equal work environment.

By implementing sustainable measures and fostering a culture of equity and inclusivity, Oman can prevent gender discrimination and further solidify its commitment to gender equality. This will create an environment where everyone, regardless of gender, has equal opportunities to succeed and thrive.

This research is distinctive within the Omani setting, as no previous studies have explicitly examined women’s career progression from a socioeconomic perspective.

This study aims to explore the role of green motive (GM) and green dynamic capabilities (GDC) in green innovation (GI) through green value co-creation (GVC). Moreover, this study investigates the moderation of top management support (TMS) to strengthen the mediation of specific constructs; GM, GDC, green value co-creation (GVC) and green innovation (GI).

In total, 337 respondents (executive level/chief executive officer (CEO)) of service organizations were approached using a convenience sampling technique to collect the data through the survey method. Of these, 294 (87% response rate) duly filled responses were used in the final data analysis. In SPSS (Statistical Package for Social Sciences) v-23, the Process Macro-Hayes was used to evaluate the study's conceptual framework empirically.

The study revealed that TMS strengthened the mediation framework of GM, GDC, GVC and GI. Moreover, all hypotheses related to direct and indirect associations of specific constructs used in the theoretical framework were statistically significant and proved.

The comprehensive framework for GI of service organizations, primarily in the context of developing countries like Pakistan, is deficient in literature. This study helps service organizations by providing a comprehensive GI model to put a central focus on the transformation of management philosophy and working approach for achieving GI in the services structure.

Framed by social cognition theory, this study examines the impact of environmental factors (e.g. social norms) on students’ entrepreneurial self-efficacy (ES) and entrepreneurial intention (EI).

We obtained responses to a survey from 811 senior secondary students in Hong Kong. We then employed structural equation modeling (SEM) to test the proposed hypothesis. We removed non-significant parameters in testing the model and obtained the final SEM.

Among these students, those who were male or spoke English at home showed stronger social norms of entrepreneurship and greater entrepreneurial SE, which was linked to greater EI. Among students perceiving stronger social norms of entrepreneurship, those who lived in private housing or spoke English at school showed greater entrepreneurial intention.

The study provides a new social cognitive perspective for examining EI that emphasizes learning and development through the interaction of environmental and cognitive factors. It supplements previous research by demonstrating the significant influence of social norms and the conditional role of parental influence, adding complexity to our understanding of how these factors' interplay.