This study analyses the importance of the entrepreneurial intention of university students to promote social change by green entrepreneurship in regard to the three most vibrant components of AMO (Ability, Motivation, and Opportunity) theory, developed by the partial least square structural equation model (PLS-SEM). The entrepreneurial intention among students is identified via a deductive approach and this approach is developed using a PLS-SEM. The literature exploited and the methodology used comprise a full exploratory analysis technique to collect empirical data to find the predictor variables that influence the promotion of social changes connected to the mediating variable of green entrepreneurship. The survey data were collected from a total of 302 respondents through survey questionnaires from the students. The data were examined statistically to demonstrate the hypotheses predicted from the literature review. The outcomes of the hypothesis association showed that AMO theory influences the predictor variables of skills, incentives, and entrepreneurship education, and that these skills are statistically significant and accepted towards green entrepreneurship. However, the importance of a green entrepreneurship strategy is influenced by the entrepreneurial intention that encourages the promotion of social change. Therefore, the present study helps researchers to find the structural relationship between different wings connecting AMO theory with the entrepreneurial intention that incurs and develops sustainable business performance to create jobs, instead of searching for jobs. Secondly, this study also indicates a mixed approach where participants can openly discuss their opinion and understanding. Ultimately, this study encourages the use of the covariance-based structural equation model (CB-SEM) by confirming its theory, and testing the confirmatory factor analysis in particular.

The goal of this research was to create a partial least square structural equation model (PLS-SEM) with a second-order structural model to investigate the interaction between research-based methodologies and relationship factors that significantly influence learning satisfaction among university students. The instruments used in this study were a simple random sampling technique for structural equation model (SEM) analysis, while a quantitative process of survey data collection was manipulated through SPSS and Smart-PLS. The presented study attempted to explore whether teachers’ strategies are linked with their students for the students’ learning satisfaction. Thus, it represents the demands and expectations of two statistically significant common phenomena: research-based components and relationship approach components. This set of teaching techniques encourages university students and enhances their learning satisfaction. Moreover, this study explored teaching strategies that influence factors having a directly significant influence on learning satisfaction at university level. Each factor measures the relationship’s construct, proven to be a second-order SEM reflective model that is statistically significant. Our study explored learning satisfaction as an integral part of teaching strategies, by first- and second-order structural equation modeling, supported by students’ expectations, and the study’s empirical results provide potential implications for learning satisfaction.

Purpose: This study pioneers examining the relationships between psychological factors, cognitive processes and entrepreneurial mindset to enhance an understanding of the underlying mechanisms contributing to successful entrepreneurship.Design/methodology/approach: Amos software applied a quantitative approach to analyze the fit indices for the hypothesized model, while SPSS conducted descriptive and factor analysis. Eventually, the primary survey technique was performed with quantitative research, collecting 413 numerical data through a structured, closed-ended Likert scale questionnaire delivered to the target respondents.Findings: Results have shown that data analysis verifies the positive relationships between psychological factors and the entrepreneurial mindset (hypothesis H1) and cognitive processes and the entrepreneurial mindset (hypothesis H2). These findings contribute to understanding the mechanisms underpinning the entrepreneurial mindset and have implications for entrepreneurship development and support initiatives. The study findings also underscore the importance of understanding the covariance between psychology and cognition in the context of the entrepreneurial mindset – a complex and engaging aspect of the research that is crucial for a comprehensive understanding of entrepreneurship.Research limitations/implications: It is important to note that the measuring tools used to evaluate these characteristics may have issues with common technique biases, self-report biases or limitations in fully reflecting their complexity. Awareness of these potential challenges is crucial for future research in this area.Originality/value: This study's findings have significant practical implications for entrepreneurship training, education and policy-making initiatives. Their practicality will equip the reader with the necessary knowledge to succeed in entrepreneurship.

Purpose. The goal of this research was to scrutinize how business strategy helps to increase business sustainability by considering the roles of quadratic effects and students’ Innovation in the formation of business. It is worthwhile to investigate the role of partial least square structural equation modeling (PLS-SEM) in crowdsourcing business strategy approaches toward sustainability. Methodology. To attain these goals, we conducted quantitative research, which included first-order by three dimensions of business strategy for the analyzed reflective model. In order to gather quantitative data and identify the predictor factors that affect the sustainability associated with the quadratic effects, a thorough exploratory PLS-SEM strategy was applied. Findings. The participants (N = 218) studying at Daffodil International University (DIU) in Bangladesh took part in the online survey. The findings indicate that DIU students’ intention for businesses strategy is conscious of the potential changes, and that they have begun to build internal processes geared toward sustainability. Also, the first-order constructs are the selection of environment, long-term behavior, and strategical involvements management resources into business strategies which have a positive correlation with the significant impact on business sustainability. While business strategy contributed to the formation of an innovative sustainability model, the presence of a linear effect and a positive parabolic effect was statistically significant. Finally, business strategy has a favorable impact on sustainability with both linear and parabolic effects. Originality. Business strategy is proved to have contributed to forming an innovative model of sustainability, having a linear effect and a positive parabola effect as statistically significant. As a result, business strategy has a beneficial impact on sustainability, with both linear and parabolic effects. These findings have ramifications for how potential entrepreneurs handle their businesses in order to improve sustainability. Practical value. The results show that business strategy is essential for aspiring entrepreneurs to increase creativity and efficiency in the direction of sustainability.

Purpose: This study aims to fill a knowledge gap about the best ways to execute waste management regulations that support sustainability and environmental responsibility. However, the study seeks to investigate and assess how well waste management systems support sustainability and environmentally friendly behaviors.Design/methodology/approach: Since the quantitative technique was used to discover and generate hypotheses about relationships between variables, it was chosen for the entirety of the study. The data collection from ready-made garments (RMG) in Bangladesh was carried out using a survey strategy that involved the distribution of questionnaires using a cluster sampling approach. The partial least squares structural equation model (PLS-SEM) was used for quantitative analysis with SmartPLS.Findings: However, the results show the importance of waste management, green practice methods and sustainability for the company's goal of maintainable performance. On the other hand, PLS-SEM demonstrated that based on the provided t-statistics and p-values, all of the routes in the structural model are statistically significant at the level of p < 0.05. These routes also appeared to have far broader and more powerful effects. Principles of the circular economy are highlighted, as are the importance of holistic methods, awareness and education, stakeholder participation and fusing these concepts. Furthermore, it seems to affect significantly both short-term and long-term success due to its distinctiveness in sustained performance.Research limitations/implications: Much time will be required to assess waste management methods and their long-term effects. A healthcare manager may adapt research findings to practice, ensuring the study enhances management and patient care.Originality/value: This research addresses a significant literature gap by providing managers and policymakers with concrete ideas on integrating sustainability into operational and strategic frameworks. In today's competitive environment, integrating stakeholder engagement and green practices into core company operations is an innovative way to achieve sustainable excellence.

Entrepreneurial intentions among Gen Z university students in Bangladesh remain underexplored, particularly regarding the influence of education, access to finance and socioeconomic status. This study aims to investigate how these factors shape entrepreneurial intentions within a developing economy context. A quantitative research design was employed, using stratified random sampling of university students in Dhaka, and data were collected through structured questionnaires. Analysis was conducted using covariance-based structural equation modeling (CB-SEM) with AMOS, which showed that all structural paths were statistically significant at p < 0.05. The study found a significant positive association between education and entrepreneurial intentions among Gen Z students in Bangladesh. Access to resources, particularly digital tools and crowdfunding platforms, was also significantly and positively associated with entrepreneurial intentions. Socioeconomic status demonstrated a further significant positive relationship with entrepreneurial intentions. Access to digital resources emerged as a strong direct predictor of entrepreneurial intention. These findings extend the Theory of Planned Behavior (TPB) within a developing economy context. In conclusion, education, resource access and socioeconomic status are key positive determinants of entrepreneurial intentions. Strengthening digital infrastructure and entrepreneurship education may enhance youth entrepreneurial outcomes. Broader studies beyond Dhaka are recommended to improve generalizability.