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Discovering opportunities is a key entrepreneurship competence for those who want to start their own business and who choose to enter the workforce. In this study, the authors focus on the antecedents of the ability to discover entrepreneurial opportunities by uncovering how and when students' personal initiative (Frese and Fay, 2001) leads to an increase in this key competency. The purpose of this study was to examine the role of risk-taking and creativity in the interplay between personal initiative and opportunity discovery competencies among university students.

Data were collected with a self-assessment tool in two moments in time, using a sample of 103 university students from Portugal enrolled in an entrepreneurship course. The authors measured personal initiative and entrepreneurial risk-taking at the beginning of the entrepreneurship course (Time 1). Two months later (Time 2), by the end of an entrepreneurship course, the authors measured creativity and opportunity discovery abilities.

The results of this study showed that risk-taking mediates the effect of personal initiative on opportunity discovery and that creativity interacts with risk-taking and opportunity discovery. Specifically, the authors found that the relationship between entrepreneurial risk-taking and opportunity discovery is positive and statistically significant when students display average or above-average creativity. The indirect effect of the personal initiative on opportunity discovery through entrepreneurial risk-taking seems to increase when the student's creativity increases, as the index of moderated mediation is positive.

As with all studies, there are limitations to work of this study. First, data of this study is restricted to a sample of students from Portugal. As such, the authors should be careful about generalizations concerning students from other cultural settings; entrepreneurship competencies can differ across countries. Second, the findings of the present study are based on students’ self-reports regarding their own entrepreneurship competencies.

This work can inspire entrepreneurship educators to look at the entrepreneurship competencies models holistically and inspire future work to explore the relationship patterns between entrepreneurial competencies.

Social initiatives must disclose their results to access support. However, there is no theoretical consensus about how to do it. It is still necessary to understand the value creation in social initiatives because they may or not have economic goals. However, these goals serve to make the social ones feasible. This study aims to cut this Gordian knot by providing measures aligned to the value theory but developed by the social lens. It offers a non-economic-focused approach to dealing with assessment complexity and with multiple stakeholders’ needs for information.

A consolidation research path is suggested by three composed measures built upon tested and reliable scales. These value measures are discussed through narratives from Portuguese investors and social entrepreneurs in a mixed-methods design. Content analysis and online survey provided data for descriptive statistics, exploratory factor analysis and Cronbach's alpha test.

The analyses supported the value measures. Thus, they allow an effective way to assess and report the social value created. It also highlighted a potential use in preventive and corrective approaches helpful for several organizations that pursue social goals.

The measures were tested based on social entrepreneurs' opinions. Future studies can include beneficiaries' opinions, allowing comparisons that can help to set more realistic goals and better investment criteria.

The relationship between investors and initiatives can improve, boosting their impact on society. The measures can highlight prioritization choices that influence the way value is created. Hence, they serve as a sensemaking from a holistic standpoint.

This research analyses the impact of customers and government regulations on the implementation of socio-environmental practices in certifying organic agricultural products. It explores the dyad’s relationship between the focal company and its suppliers in the application of socio-environmental practices.

This study uses a quantitative methodology through a survey approach, with a sample of 206 agro-extractivists from the acai berry supply chain. The data are evaluated using regression analysis.

The main results reveal that customer pressure positively influences the implementation of social and environmental practices, but suggest a non-significant relationship between government regulations and the impact on environmental practices implementation. Social and environmental practices are positively related to operational performance. A moderating effect of organic certification is found in the relationship between customer pressure and the application of environmental practices.

The main contributions are exploring the use of socio-environmental practices in an emerging economy and organic certification as a moderating variable, revealing an “institutional void” that may hamper the enforcement of government regulations.

In the wine industry, maintaining superior quality standards is crucial to meet the expectations of both producers and consumers. Traditional approaches to assessing wine quality involve labor-intensive processes and rely on the expertise of connoisseurs proficient in identifying taste profiles and key quality factors. In this research, we introduce an innovative and efficient approach centered on the analysis of volatile organic compounds (VOCs) signals using an electronic nose, thereby empowering nonexperts to accurately assess wine quality.

To devise an optimal algorithm for this purpose, we conducted four computational experiments, culminating in the development of a specialized deep learning network. This network seamlessly integrates 1D-convolutional and long-short-term memory layers, tailor-made for the intricate task at hand. Rigorous validation ensued, employing a leave-one-out cross-validation methodology to scrutinize the efficacy of our design.

The outcomes of these e-demonstrates were subjected to meticulous evaluation and analysis, which unequivocally demonstrate that our proposed architecture consistently attains promising recognition accuracies, ranging impressively from 87.8% to an astonishing 99.41%. All this is achieved within a remarkably brief timeframe of a mere 4 seconds. These compelling findings have far-reaching implications, promising to revolutionize the assessment and tracking of wine quality, ultimately affording substantial benefits to the wine industry and all its stakeholders, with a particular focus on the critical aspect of VOCs signal analysis.

This research has not been published anywhere else.