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This study examines how perceived institutional support, parental role models, and entrepreneurial self-efficacy, representing both macro-level and personal-level factors, collectively influence students' intentions to pursue entrepreneurship in Mexico and Uruguay.

This research utilized quantitative methodology, specifically survey techniques, to collect data from students attending private universities. The study achieved a valid sample size of 419 respondents. Various reliability and validity tests were conducted before structural equation modeling was employed to test the hypothesized relationships between variables.

The analysis revealed that perceived institutional support does not directly impact students' entrepreneurial intentions (EI). Instead, its effect is mediated through entrepreneurial self-efficacy and the presence of parental role models, both of which are strong predictors of EI. Additionally, the study identified a direct correlation between students' nationality, their academic programs, and their EI. Age and gender, however, did not significantly influence EI.

This study provides theoretical insights into understanding EI by combining macro-level and personal factors. This integrative method contributes to a more comprehensive approach of predicting EI within the context of Latin America.

The study suggests boosting investment to improve the quality of institutions, fostering an environment that supports entrepreneurship, and offering students opportunities to learn from successful role models.

This study was conducted in the context of two economies in Latin America. The novelty lies in combining perceived institutional factors and individual motivators to understand EI in Latin America. It uniquely emphasizes the significance of familial influences, particularly parental role models, in its analysis.

The purpose of this paper is to evaluate the insights of founding entrepreneurs to understand what they consider as motivating factors in their decision to act upon entrepreneurial intentions. Using this information, the entrepreneurial trigger event influence was conceptualized, and a scale developed for use in subsequent testable models.

Qualitative and quantitative techniques were used to construct an instrument that measures the presence and influence of entrepreneurial behavior triggers. The concept of triggering events was explored with 14 founding entrepreneurs. Themes emerged from this enquiry process which informed the development of four primary entrepreneurial triggering events. Over 600 entrepreneurs participated in the study. Exploratory factor analysis was used to identify dimensions of entrepreneurial triggers and was tested using confirmatory factor analysis.

Entrepreneurs perceive that personal fulfillment and job dissatisfaction serve as two significant trigger events which will lead individuals to engage in entrepreneurial behaviors. This research supports theorizing that suggests entrepreneurial trigger events have influence in motivating individuals to act upon entrepreneurial intentions and some trigger events may have more influence toward behavior than others.

This research is subject to multiple limitations. Trigger events were limited to those identified in literature and the interviews. Most entrepreneurs participating in this study were from a limited geographic region. The entrepreneurs in this study reported their triggering event based on their memory which could have been affected by inaccurate recall or memory bias. No attempt has been made to model the comparative effects of the different variables on entrepreneurial outcomes. Finally, the entrepreneurial trigger event instrument did not measure the participant's demographics or psychographics which could have played a role in the influence of reported trigger event.

This study extends previous research that trigger events serve as catalysts for entrepreneurial behavior. Findings support the premise that different types of triggers have different levels of influence as antecedents of entrepreneurial behavior. Specifically, positive, negative, internal and external entrepreneurial triggering events were explicated. The Entrepreneurial Trigger Event Scale created to facilitate this study enables researchers to explore the effects of types and perceived influences of precipitating trigger events on the intentions of the individual that result in entrepreneurial behavior. The optimized instrument further expanded Shapero's (1975) proposed theory of the origins of entrepreneurial behavior.

The development of a scale provides researchers with the opportunity to include the influence of entrepreneurial trigger events, as perceived by entrepreneurs, in future testable models. Entrepreneurial development organizations can use the knowledge to assist in understanding when potential entrepreneurs may act upon entrepreneurial intentions. Information gained can have significant implications for understanding the initiation of entrepreneurial behavior, entity establishment and business growth.

This research responds to a call for investigation into the influence of entrepreneurial trigger events on a person's decision to act upon entrepreneurial intentions. It is an early attempt to conceptualize a relevant construct of entrepreneurial trigger event influence and to develop a scale for use in empirical testing. It is distinguished by using planned behaviors, push and pull, motivation and drive reduction theories. These theories are applied to the perceptions of successful entrepreneurs to develop a construct and validate it.

This study aims to analyze the entrepreneurial intention (EI) manifested by potential entrepreneurs for LGBT (lesbian, gay, bisexual, and transgender) and traditional markets, thereby tracing a comparative EI for both markets. The intention is to understand the vision of potential future entrepreneurs related to markets focused on the LGBT public (i.e. if entrepreneurs perceive this market as an option for future business).

Using a quantitative research design, data were collected from a sample of 157 students in Brazil and analyzed by applying structural equation modeling.

This study primarily identified a difference between EI when comparing the focus on LGBT and traditional markets. Results show that the impact of personal attitude is significantly higher on EI for general markets (all markets) than for markets focused on LGBT audiences. Furthermore, the impact on entrepreneurship for traditional markets is generally significantly lower than for the LGBT market.

The study explored the EI for LGBT markets, which has not been studied extensively. It aims to gain a better understanding of various aspects that may influence the decision-making and perceptions of potential future entrepreneurs. Furthermore, the study compares traditional and LGBT audiences, providing valuable insights for potential future entrepreneurs in both scenarios. This comparison is a unique contribution to the literature and contributes to important analyses and debates.

This paper integrates the action phase theory (APT) and the theory of planned behaviour (TPB) to analyse the dynamic mechanisms involved in the configuration of goals and implementation intentions throughout the entrepreneurship process.

The empirical analysis compares individuals in different phases of this process (not yet decided, potential and nascent entrepreneurs). A large sample of adults from Spain is analysed. Structural equation models and multi-group analysis (MGA) serve to test the hypotheses.

The results confirm that perceived behavioural control (PBC) is the most influential antecedent of entrepreneurial goal intention (EGI) in pre-actional phases (undecided and potential entrepreneurs), whilst attitude towards entrepreneurship (ATE) takes this role during nascency. Subjective norms (SNs) are more important in Phase 1 (establishing the goal) and in Phase 3 (performing nascent behaviour).

This study contributes to both the TPB and the APT. It provides the most relevant insight into the mental process that leads to starting up and helps explain certain previous conflicting results found in the literature. Additionally, it has important implications not only for theory building but also for support bodies and for entrepreneurship educators.

The business angels market dramatically changed the modus operandi and nature of business angels’ activity, evolving from lone investors to angel groups managed professionally. This paper aims to analyze the impact of angel perceived career development on angel satisfaction and, consequently, on their intention to continue investing.

A model was tested through covariance-based structural equation modeling (SEM) using AMOS based on data collected from 336 business angels from seven European countries.

The results highlight that: the perception of personal development is a decisive factor in pursuing the career of business angel; personal development has a higher explanatory power in angel career development than fostering innovation; and the perception of career development has positive impacts on angels’ job satisfaction and reinvestment intention. The paper ends with implications and guidelines for angels, gatekeepers and entrepreneurs, which may increase satisfaction with the angel experience and contribute to enriching business angel work.

Cross-sectional self-reported data were used to analyze the results of this study.

To paper extends the body of knowledge of business angels’ perceived career development, with implications for business angels, which may increase satisfaction with angel experience and, therefore, contribute to enhancing business angels’ activity. Thus, this study provides a consistent reference for forthcoming studies regarding the career of business angels and their relationship with entrepreneurs.

Focused feedback, such as mentoring and coaching, is a crucial ingredient for generating the intellectual capital needed for successful venture creation and has become a structural resource offered to entrepreneurs in business incubator/accelerator programs. Yet so far, literature has remained silent on the way that entrepreneurs differ in their engagement with focused feedback in such programs. This study poses the question of how focused feedback engagement shapes cognitive development during value creation (i.e. business opportunity development), aimed at the construction of a taxonomy of such feedback engagement.

Focusing on cognitive learning outcomes, we carried out a qualitative analysis using NVivo to perform content analysis on the logbooks of 70 entrepreneurs engaged in business opportunity development in a highly regarded accelerator program.

Results show that engagement with focused feedback and its effects relate to the state of tangibility of the entrepreneur’s value offer and to the amount of prior entrepreneurial experience. We also develop a promising taxonomy to classify entrepreneurs on their learning needs and outcomes (e.g. procedural versus declarative knowledge).

This study brings together types of human learning (types of knowledge acquired) with types of focused feedback. This connection has been speculated to exist in entrepreneurial settings; this study provides strong initial evidence that argues for more explicit consideration in practice. Adding the intellectual capital perspective further enabled this study to better address implications for practice as well as motivate powerful new directions for research.

Social value creation (SVC) is the primary emphasis for unifying the various issues in contemporary social entrepreneurship (SE) literature and practice since it highlights the fundamental problem of sustainability in SE business. Accordingly, SVC as an outcome of SE represents the primary drive of social entrepreneurs (SEs). However, SEs encounter multi-dimensional challenges as they work to build their SE businesses and create social value. In the current context of digitally transforming entrepreneurship scenario, this study investigates the role of SE compassion and digital learning orientation (DLO) for SVC ability of SEs.

The study utilized a quantitative survey approach for primary data collection from social entrepreneurs in Saudi Arabia. A total of 158 valid replies from social entrepreneurs were obtained for the study. Using SmartPLS (3.0), partial least square structural equation modeling was used to analyze the data.

The results validated a model of SVC in which the SE compassion and DLO positively impact the SVC ability in SEs. However, the impact of DLO in moderating the SE compassion - SVC relationship in SEs was not proven.

The study established the role of SE compassion in explaining the distinctive SVC ability in SEs. Meanwhile, given the expanding necessity for SEs to leverage digital technologies for SE missions, the study provides implications for nurturing positive outcomes in terms of SE compassion and DLO outcomes among SEs. This organized knowledge can help entrepreneurs, educators and policymakers better incorporate these concerns in SE education, and social enterprises and entrepreneurs’ developmental initiatives.

This work is pioneering in that it conceptualizes and tests a theoretical framework that links SE compassion, DLO, and SVC in SEs. Meanwhile, the study is the first to operationalize the DLO in entrepreneurs. The study thus generates fresh insights about SVC in SE amid the digitally transforming entrepreneurship scenario.

Artificial intelligence (AI) technologies have led to significant transformations across industries and society, including the field of education. The integration of AI in educational settings has the potential to improve students' learning experience and support their individual competencies when paired with non-AI methods. Despite the growing importance of AI in modern education, there remains a noticeable research gap regarding its use in entrepreneurship education and the effects of Chatbots on students' entrepreneurial competencies. To address this gap, an exploratory study was conducted on undergraduate students who were tasked with using ChatGPT to improve their business model canvas.

The chosen methodology aligned with the research purpose, aiming to explore the relationship between Generative AI and competencies. Due to the novel nature of the research problem, an exploratory study was conducted using a mixed methods approach. A survey with open- and closed-ended questions was designed, and statistical and text analyses were performed to interpret data and test identified propositions.

The findings of this study indicate that ChatGPT can enhance the types of students' entrepreneurial competencies considered in this study: spotting opportunities, creativity, vision, valuing ideas and ethical and sustainable thinking. The results show that ChatGPT can be particularly helpful to improve the ability of students of valuing ideas.

Overall, this study highlights the potential of adopting ChatGPT in experiential learning methodologies for enhancing students' entrepreneurial competencies and improving their learning outcomes.

This study aims to assess the effect of entrepreneurial orientation on supply chain performance both directly and indirectly through entrepreneurial competence, as well as the moderating role of local community networking in these relationships, within the context of institutional voids in Ghana.

The study utilized a cross-sectional survey data from 225 small and medium sized enterprises (SMEs) in order to test the hypotheses. The data analysis was conducted using partial least squares structural equation modelling techniques.

The results revealed that entrepreneurial orientation is a significant positive predictor of both entrepreneurial competence and supply chain performance. Similarly, entrepreneurial competence was shown to positively predict supply chain performance, both directly and as a mediator between entrepreneurial orientation and supply chain performance. Local community networking, however, positively moderated the relationship between entrepreneurial orientation and entrepreneurial competence but not the relationship between entrepreneurial orientation and supply chain performance.

This study contributes to literature by looking at the relationship between entrepreneurial orientation, entrepreneurial competence, local community networking and supply chain performance within the context of an emerging economy with institutional voids. The study shows the importance of an entrepreneurial mindset in developing the necessary skills, competences and abilities needed to survive in the turbulent business environment.

The emergence of artificial intelligence technologies, like ChatGPT, has taken the world by storm, particularly in the education sector. This study aims to adopt the unified theory of acceptance and use of technology to explore how effort expectancy (EEC) and performance expectancy (PEE) individually, jointly, congruently and incongruently affect higher education students’ intentions and actual uses of ChatGPT for their learning.

An advanced methodology – polynomial regression with response surface analysis – and a sample of 1,461 higher education students recruited in Vietnam through three-phase stratified random sampling approach were adopted to test developed hypotheses.

Both EEC and PEE were found to have a direct positive impact on the likelihood of higher education students’ intention to use ChatGPT, which in turn promotes them actually use this tool for learning purposes. Conversely, a large incongruence between EEC and PEE will lower the level of intentions and actual uses of ChatGPT for learning. However, when there is a growing incongruence between EEC and PEE, either in a positive or negative direction, the likelihood of students’ intentions to use ChatGPT for learning decreases.

Some practical implications are subsequently recommended to obtain advantages and address potential threats arising from the implementation of this novel technology in the education context.

This study shed the new light on the educational setting by testing how higher education students’ intentions to use ChatGPT and subsequent actual uses of ChatGPT are synthesized from the balance between high EEC and PEE.