Investor characteristics, intention toward socially responsible investment (SRI), and SRI behavior in Chinese stock market: The moderating role of risk propensity.

In recent years, Socially Responsible Investment (SRI), which integrates financial returns with social impact, has gained prominence. Commonly referred to as ethical or green investing, this study employs the Theory of Planned Behavior (TPB) to analyze factors that influence SRI behaviors. The TPB model suggests that behavior is primarily influenced by attitudes, subjective norms, perceived behavioral control (PBC), and intention. The study uniquely adapts the TPB model by incorporating financial literacy as a critical factor, a hypothesis substantiated through primary data from Chinese investors. Furthermore, the research highlights risk propensity as a moderating variable, significantly affecting these dynamics and offering essential insights into SRI practices. By utilizing Structural Equation Modeling (SEM) in conjunction with TPB, the study investigates the behavioral patterns of investors in Chinese stock market with a specific focus on the impacts of financial literacy, the moderating role of risk propensity, and the mediating effects of investment intentions on SRI behaviors. The findings reveal that PBC plays the most crucial role in shaping investors' intentions and behaviors toward SRI. Additionally, the results recommend that policymakers and SRI providers consider the social influences on investors' decisions and acknowledge the significant impact of investors' perceived control in forming their SRI intentions and actions.

Uncertainty quantification in multi-class segmentation: Comparison between Bayesian and non-Bayesian approaches in a clinical perspective.

BACKGROUND: Automatic segmentation techniques based on Convolutional Neural Networks (CNNs) are widely adopted to automatically identify any structure of interest from a medical image, as they are not time consuming and not subject to high intra- and inter-operator variability. However, the adoption of these approaches in clinical practice is slowed down by some factors, such as the difficulty in providing an accurate quantification of their uncertainty. PURPOSE: This work aims to evaluate the uncertainty quantification provided by two Bayesian and two non-Bayesian approaches for a multi-class segmentation problem, and to compare the risk propensity among these approaches, considering CT images of patients affected by renal cancer (RC). METHODS: Four uncertainty quantification approaches were implemented in this work, based on a benchmark CNN currently employed in medical image segmentation: two Bayesian CNNs with different regularizations (Dropout and DropConnect), named BDR and BDC, an ensemble method (Ens) and a test-time augmentation (TTA) method. They were compared in terms of segmentation accuracy, using the Dice score, uncertainty quantification, using the ratio of correct-certain pixels (RCC) and incorrect-uncertain pixels (RIU), and with respect to inter-observer variability in manual segmentation. They were trained with the Kidney and Kidney Tumor Segmentation Challenge launched in 2021 (Kits21), for which multi-class segmentations of kidney, RC, and cyst on 300 CT volumes are available. Moreover, they were tested considering this and other two public renal CT datasets. RESULTS: Accuracy results achieved large differences across the structures of interest for all approaches, with an average Dice score of 0.92, 0.58, and 0.21 for kidney, tumor, and cyst, respectively. In terms of uncertainties, TTA provided the highest uncertainty, followed by Ens and BDC, whereas BDR provided the lowest, and minimized the number of incorrect certain pixels worse than the other approaches. Again, large differences were seen across the three structures in terms of RCC and RIU. These metrics were associated with different risk propensity, as BDR was the most risk-taking approach, able to provide higher accuracy in its prediction, but failing to assign uncertainty on incorrect segmentation in every case. The other three approaches were more conservative, providing large uncertainty regions, with the drawback of giving alert also on correct areas. Finally, the analysis of the inter-observer segmentation variability showed a significant variation among the four approaches on the external dataset, with BDR reporting the lowest agreement (Dice = 0.82), and TTA obtaining the highest score (Dice = 0.94). CONCLUSIONS: Our outcomes highlight the importance of quantifying the segmentation uncertainty and that decision-makers can choose the approach most in line with the risk propensity degree required by the application and their policy.

Electrophysiological correlates of cognitive control and performance monitoring in risk propensity: An event-related potential study.

Investigating the cognitive control processes and error detection mechanisms involved in risk-taking behaviors is essential for understanding risk propensity. This study investigated the relationship between risk propensity and cognitive control processes using an event-related potentials (ERP) approach. The study employed a Cued Go/Nogo paradigm to elicit ERP components related to cognitive control processes, including contingent negative variation (CNV), P300, error-related negativity (ERN), and error positivity (Pe). Healthy participants were categorized into high-risk and low-risk groups based on their performance in the Balloon Analogue Risk Task (BART). The results revealed risk-taking behavior influenced CNV amplitudes, indicating heightened response preparation and inhibition for the high-risk group. In contrast, the P300 component showed no group differences but revealed enhanced amplitudes in Nogo trials, particularly in high-risk group. Furthermore, despite the lack of difference in the Pe component, the high-risk group exhibited smaller ERN amplitudes compared to the low-risk group, suggesting reduced sensitivity to error detection. These findings imply that risk-taking behaviors may be associated with a hypoactive avoidance system rather than impaired response inhibition. Understanding the neural mechanisms underlying risk propensity and cognitive control processes can contribute to the development of interventions aimed at reducing risky behaviors and promoting better decision-making.

Edge-centric functional network predicts risk propensity in economic decision-making: evidence from a resting-state fMRI study.

Despite node-centric studies revealing an association between resting-state functional connectivity and individual risk propensity, the prediction of future risk decisions remains undetermined. Herein, we applied a recently emerging edge-centric method, the edge community similarity network (ECSN), to alternatively describe the community structure of resting-state brain activity and to probe its contribution to predicting risk propensity during gambling. Results demonstrated that inter-individual variability of risk decisions correlates with the inter-subnetwork couplings spanning the visual network (VN) and default mode network (DMN), cingulo-opercular task control network, and sensory/somatomotor hand network (SSHN). Particularly, participants who have higher community similarity of these subnetworks during the resting state tend to choose riskier and higher yielding bets. And in contrast to low-risk propensity participants, those who behave high-risky show stronger couplings spanning the VN and SSHN/DMN. Eventually, based on the resting-state ECSN properties, the risk rate during the gambling task is effectively predicted by the multivariable linear regression model at the individual level. These findings provide new insights into the neural substrates of the inter-individual variability in risk propensity and new neuroimaging metrics to predict individual risk decisions in advance.

The Effect of Risk Propensity on Family-Work and Work-Family Conflicts in Jordanian Nurses: Does Gender Matter?

INTRODUCTION: Work and family duties may be in conflict, which can cause a problem faced by nurses and lead to significant physical and mental health risks. This study examined whether gender moderated the relationship between risk propensity with work-family and family-work conflicts in Jordanian nurses. METHOD: A cross-sectional study was conducted to collect data from 206 nurses currently employed in two major referral hospitals. Data analysis was performed using the Macros process and correlations. RESULTS: The bivariate correlations showed that family-work conflict was significantly correlated with depression, stress, and risk propensity. Work-family conflict was only correlated with depression and stress. Macros process results showed that gender moderated the relationship between risk propensity and family-work conflict. These results showed that the risk propensity significantly affected family-work conflict in male but not female nurses. DISCUSSION: The results showed that gender moderated the relationship between risk propensity and family-work conflict but not between risk propensity and work-family conflict.

How to Measure Propensity to Take Risks in the Italian Context: The Italian Validation of the Risk Propensity Scale.

Risk propensity is a multifaced construct that influences many aspects of life, such as decision making. In the present study, the psychometric characteristics of the Risk Propensity Scale (RPS) have been explored for the first time in an Italian sample. The RPS is a 7 item self-report questionnaire measuring people's tendency to take risks. The English RPS has been translated following the forward-backwards translation method, and it was filled out by 199 participants. Since its dimensionality has never been explored before, its factor structure has been analysed with exploratory factor analysis that confirmed the one-factor structure of the questionnaire and the retention of all the items. The Italian version of the RPS has high internal consistency (Cronbach alphas .78), and almost all the items were positively and significantly correlated. The convergent and discriminant validity, analysed by considering the associations with decision-making styles and an implicit measure of risk propensity, were satisfactory. Overall, the Italian version of the RPS is a valid and quick questionnaire useful to measure propensity to take risks in the Italian context.

Risk-taking propensity as a risk factor for noise-induced hearing loss in the general population.

OBJECTIVES: To examine general risk propensity in relation to perceptions of noise, risk behaviour, and hearing loss in the general population. DESIGN: Participants completed an online survey using the Amazon Mechanical Turk crowdsourcing platform. STUDY SAMPLE: The sample comprised 1274 adults from the United States. RESULTS: Higher general risk propensity was associated with an increased likelihood to engage in noise-risk behaviours. Lower general risk propensity was associated with increased knowledge of noise risks and an increased perception of noise as risky. The frequency of self-reported exposures to hazardous noise resulted in estimated annual noise doses exceeding standard hazard limits in 40% of the surveyed population. CONCLUSIONS: Results revealed limited knowledge of the risks and associated health consequences of noise exposure in the general population Results of this study suggest a high rate of self-exposure to hazardous noise by the general population. Those with higher general risk propensity are more likely to engage in risky noise behaviour. Risky noise behaviour is associated with age, gender, race, ethnicity, and general risk propensity. Intervention programs to modify risky noise behaviour in the general population should focus on both increasing knowledge and establishing accurate perceptions of risk.

Deliberative and Affective Risky Decisions in Teenagers: Different Associations with Maladaptive Psychological Functioning and Difficulties in Emotion Regulation?

Using network analysis, we investigated the relationships between maladaptive psychological functioning, difficulties in emotion regulation, and risk-taking in deliberative and affective behavioral decisions. Participants (103 adolescents aged between 13 and 19 years, 62% boys) took the Cold (deliberative) and Hot (affective) versions of the Columbia Card Task and completed the Youth Self-Report (YSR) and the Difficulties in Emotion Regulation Scale (DERS). In contrast to the view that risk propensity increases from preadolescence to middle adolescence and decreases at later ages, our study revealed no age-specific trend. YSR syndrome scales were significantly correlated with risk propensity, but only in the Cold version. The YSR Thought Problems scale was the most central node in the network, linking internalizing and externalizing problems with risk propensity in the Cold CCT. Lack of emotional Clarity was the only DERS consistently linked with risk-taking both in correlation and network analyses. Maladaptive psychological functioning and difficulties in emotion regulation were linked with risk propensity in affective risky decisions through deliberative processes. The statistical significance of direct and indirect effects was further examined using nonparametric mediation analyses. Our study highlights the role of cognitive factors that in each variable set might account for risk-taking in teenagers.

What are the key drivers to promote entrepreneurial intention of vocational college students? An empirical study based on structural equation modeling.

In order to alleviate the increasing employment pressure of vocational college students, the current study is an attempt to explore the factors of entrepreneurial intention affecting vocational college students. The study investigates whether entrepreneurial self-efficacy and attitude mediate this relationship between creativity and entrepreneurial intentions using the theory of planned behavior (TPB). In particular, this research also examines whether risk propensity moderates the relationship. An empirical survey is conducted and a total of 500 valid questionnaires are collected through online platforms. The data is analyzed by employing Partial Least Squares Structural Equation Modeling and SPSS20.0. The results indicate that self-efficacy is the strongest antecedent of entrepreneurial intention. Social support is found to directly influence entrepreneurial intention significantly, while the direct effect of creativity on intention is very marginal. Moreover, the results of the mediation analysis show that the relationship between creativity and entrepreneurial intention is fully mediated by self-efficacy and attitude, while the effect of social support on entrepreneurial intention is partially mediated. Specifically, the moderation effect of risk propensity on the relationship between creativity and entrepreneurial intention is acknowledged. Concrete suggestions are proposed for vocational colleges and governments to promote students' entrepreneurial intentions. Finally, implications for the findings are provided.

Perceptual decision-making 'in the wild': How risk propensity and injury exposure experience influence the neural signatures of occupational hazard recognition.

While previous studies have extensively explored the neural mechanisms of perceptual decision-making, most of them used paradigms with limited real-life consequences and largely neglected participants' individual differences. In this study, to resemble a perceptual decision-making scenario with real-life consequences, construction workers were recruited for an occupational hazard recognition task by categorizing construction site images as hazardous or safe with their EEG recorded. Event-related potential (ERP) analysis revealed distinct influences of perceptual decision-making by two dispositional factors of risk propensity and injury exposure experience. Risk propensity was positively correlated with the stimulus-locked difference waveforms (hazardous minus safe) at approximately 200 ms post-stimuli-onset over right-lateralized parietal-occipital areas. The difference waveforms showed reversed polarity between groups with high and low-risk propensity. Injury exposure experience was negatively correlated with the response-locked difference waveforms approximately 450 ms before motor response over right-lateralized parietal-occipital regions. To the best of our knowledge, this study is the first to report how individuals' injury exposure experience influenced the neural signatures of one's perceptual decision-making. These results extended previous findings for perceptual decision-making by setting up a scenario with high ecological validity and suggested possibly substantial different mechanisms for individual workers by the intrinsic factor of risk propensity and the extrinsic factor of injury exposure experience.

Predicting Risk Propensity Through Player Behavior in DOTA 2: A Cross-Sectional Study.

As traditional methods such as questionnaires for measuring risk propensity are not applicable in some scenarios, a nonintrusive method that could automatically identify individuals' risk propensity could be valuable. This study utilized Defense of the Ancients 2 (DOTA 2) single match data and historical statistics to train predictive models to identify risk propensity by machine learning methods. Self-reported risk propensity scores from 218 DOTA 2 players were paired with their behavioral metrics. The best-performing model occurred with Gaussian process regression. The root mean square error of this model was 1.10, the correlation between predicted scores and self-reported questionnaire scores was 0.44, the R-squared was 0.17, and the test-retest reliability was 0.67. We discussed how selected behavioral features could contribute to predicting risk propensity and how the approach could be of potential value in the application of perceiving individuals' risk propensities. Moreover, the limitations of our study were discussed, and recommendations were made for future studies in this field.

What Influences Consumers' Intention to Purchase Innovative Products: Evidence From China.

Drawing on the theory of planned behavior, we investigate the legitimacy of platform governance and whether consumers with greater ranges of risk propensity are more likely to purchase innovative products. This study develops a moderated mediation model involving risk propensity, cognitive legitimacy, purchase intention and perceived benefit. To examine our hypotheses, we conducted a survey of 315 consumers from Shanghai, China. The results reveal that risk propensity is positively related to consumers' purchase intentions, in which cognitive legitimacy plays a mediating role. Furthermore, the interaction suggests that perceived benefit moderates the relationship between risk propensity and cognitive legitimacy.

Roles of Multiple Entrepreneurial Environments and Individual Risk Propensity in Shaping Employee Entrepreneurship: Empirical Investigation From China.

While prior literature has widely acknowledged that the entrepreneurial environment significantly fertilizes entrepreneurship, the impact of workplace receives limited attention, and the vital role of organizations in linking social entrepreneurial environment and employee entrepreneurship has been largely ignored. Therefore, this study aims to unfold how multiple entrepreneurial environments (i.e., social, organizational, and interpersonal factors) shape employee entrepreneurship and then further reveal how such relationships vary with employees' risk propensity. Drawn on the theoretical lens of mindsponge process, which offers an explanation of why and how organizations and individuals adopt new values through the cost-benefit analysis, we proposed a research model to explain the influence mechanisms of the social entrepreneurial environment on the cost-benefit analysis of both organizations and individual employees. Specifically, given that organizations deeply embedded in the society need to balance the costs and benefits under the pressure of the social entrepreneurial environment, the social entrepreneurial environment affects the organizational entrepreneurial environment (i.e., organizational hostility toward employee entrepreneurship). Similarly, employees' cost-benefit analysis under the pressure of organizational hostility will influence their entrepreneurial intentions. Through analyzing the data collected from a two-wave survey with 220 employees, we showed that organizational hostility toward employee entrepreneurship plays a mediating role between social entrepreneurial environment and employees' entrepreneurial intentions. In addition, such mediation relationship is moderated by coworkers' unethical behaviors during their entrepreneurship and employees' risk propensity, which are expected to influence organizations' and employees' cost-benefit analysis, respectively.

Dark triad, risk propensity and interpersonal relationship satisfaction in clients with substance use disorder.

OBJECTIVE: To examine the relationship of drug addicts with personality triad, risk propensity and interpersonal relationship satisfaction. METHODS: The correlational study was conducted from September 2019 to February 2020 in different hospitals of Lahore, Pakistan, and comprised male drug addicts aged 18-30 years. Data was collected using the Dark Triad of Personalityscale, the Risk Propensity Scale and the Interpersonal Relationship Satisfaction Scale. Data was analysed using SPSS 21. RESULTS: There were 100 men with a mean age of 25.03±3.82 years. CONCLUSIONS: Dark triad and risk propensity significantly predicted interpersonal relationship satisfaction, while narcissism did not predict interpersonal relationship satisfaction.

A Bayesian method for measuring risk propensity in the Balloon Analogue Risk Task.

The Balloon Analogue Risk Task (BART) is widely-used to measure risk propensity in theoretical, clinical, and applied research. In the task, people choose either to pump a balloon to increase its value at the risk of the balloon bursting and losing all value, or to bank the current value of the balloon. Risk propensity is most commonly measured as the average number of pumps on trials for which the balloon does not burst. Burst trials are excluded because they necessarily underestimate the number of pumps people intended to make. However, their exclusion discards relevant information about people's risk propensity. A better measure of risk propensity uses the statistical method of censoring to incorporate all of the trials. We develop a new Bayesian method, based on censoring, for measuring both risk propensity and behavioral consistency in the BART. Through applications to previous data we demonstrate how the method can be extended to consider the correlation of risk propensity with external measures, and to compare differences in risk propensity between groups. We provide implementations of all of these methods in R, MATLAB, and the GUI-based statistical software JASP.

Private Long-Term Care Insurance Decision: The Role of Income, Risk Propensity, Personality, and Life Experience.

The rising aging population contributes to increased caregiver burden and a greater need for long-term care services, thereby posing stronger financial burden. The current study aimed to examine the effect of income, risk-taking propensity, personality traits, and life experience on the ownership of and intention to own private long-term care insurance (LTCI). Primary data were collected from 1373 registered nurses with a minimum of two years of full-time working experience. Multinomial logistic regression was used to examine the relationships between ownership of LTCI and personal discretionary income, risk propensity, openness to experience, and life experience. Personal discretionary income was a crucial positive indicator in predicting ownership of LTCI. Higher risk-taking propensity was found to be negatively related to both currently own and future intention to own private LTCI. Participants who currently live with elders and who agree to caregiving responsibilities with government-provided cash allowance showed future intention to purchase LTCI. Little evidence was found for an association between life experience and future intention to own LTCI. Income, risk-taking propensity, and personality traits differ in their impact on ownership of and future intention to own LTCI. Our results provide policy makers with a better understanding of the forces driving demand in the private LTCI market, as well as the accompanying implications for public LTCI.

Health orientation and individual tendencies of a sample of Italian genetic testing consumers.

BACKGROUND: Over the last decade, genetic testing (GT) had markedly spread in European countries and struggled the debate concerning the psychological effects on the population. The aim of this study was to investigate the individual tendencies of GT consumers in a sample of Italian citizens. METHODS: A total of 152 Italian clients from GenomaLab, a private genetic company, were enrolled from February 2016 to September 2018 and completed an ad hoc survey. RESULTS: Results showed that GT consumers were motivated to preserve their well-being, they felt responsible for their health, they were neither pessimistic nor optimistic toward negative occurrences, and poorly inclined to take high risks in their lives. Participants who had suffered from a disease in the past appear to be less tolerant to the uncertainty for future negative events. CONCLUSION: Our results depict Italian GT consumers as health-oriented, focused on prevention, who do not have a pessimistic perception of their condition but do not like to "bet" on their health, and probably their intention (and belief) is to acquire genetic information in order to reduce uncertainty and increase their decision-making "power" related to their health. Taken together, all these results contribute to describe the population of GT users in European countries, to regulate the provision of GT results and to entail the communication of genetic risk information based on a consumers' personal profile.

Propensión al riesgo en deportistas de Córdoba, Argentina / Risk propensity in athletes from Córdoba, Argentina

Resumen La propensión al riesgo es una decisión acerca de involucrarse o evitar los riesgos; tiene un aspecto general y otro específico. La premisa es que debe abarcar varios dominios y evaluarse temporalmente, ya que las inconsistencias en las aproximaciones al riesgo pueden deberse al nivel de propensión, las demandas de la situación, sexo, edad y experiencia pasada. El objetivo del estudio fue adaptar a deportistas cordobeses el índice de toma de riesgos; una medida simple y corta con formato de respuesta Likert donde las personas deben puntuar su frecuencia de asunción de riesgos en el presente y pasado en seis dominios distintos y, además, realizar análisis de diferencias entre grupos en función de variables socio-demográficas y deportivas, así como análisis de correlación entre las variables propensión al riesgo y ocurrencia de lesiones deportivas. Primero, el índice de toma de riesgos es una escala válida y consistente para evaluar propensión al riesgo en deportistas; el análisis factorial confirmatorio indicó que el ajuste de los datos al modelo teórico planteado es satisfactorio. La confiabilidad mostró índices elevados. Segundo, se hallaron diferencias en la propensión al riesgo en función del sexo, la edad y la modalidad deportiva, así como un efecto de interacción entre estas variables. Tercero, se encontraron correlaciones bajas y positivas entre propensión y ocurrencia de lesiones deportivas. Se sugiere, a futuro, evaluar diferencias entre grupos contemplando el tipo de deporte, analizar esta variable en deportes de riesgo y profundizar el estudio de esta variable en población deportiva.

Abstract Risk propensity is a decision which entails either becoming involved in - or avoiding risks. Risk propensity has a general and specific aspect. The premise is that risk propensity has to encompass several domains and a temporal dimension. The level of propensity, situational demand, gender, age and past experience produce inconsistency in risk approaches. An instrumental study was developed to adapt the Risk Taking Index (RTI) in athletes from Córdoba, Argentina. The RTI is a simple and short measure with a Likert response format where people must rate their risk propensity in the present and past in six domains. In addition, differences between groups were performed, based on socio-demographic and sports variables, as well as correlation analysis between risk propensity and sports injuries occurrence. First, it was found that the RTI is a valid and consistent scale for assessing risk propensity in athletes. Confirmatory factor analysis indicated that the fit of the data to the theoretical model is satisfactory and reliability analysis showed high rates. Secondly, differences in risk propensity were found based on sex, age, and sports modality, as well as an interaction effect between these variables. Thirdly, small and positive associations were found between risk propensity and occurrence of both current and past sports injuries. In the future, it is suggested to evaluate differences between groups contemplating the type of sport, analizing risk in risky sports and delving into the study of this variable in the sports population.

Type A behavior pattern, risk propensity and empathy in young professionally active patients with bronchial asthma.

INTRODUCTION: Type A behavior pattern is an important risk factor for cardiovascular diseases. It is a learned way to respond to stress. The capability of empathy and impulsiveness is an important element of functioning of the human being. AIM: To assess the degree of bronchial asthma control in the context of the intensity of type A pattern of behavior, Impulsivity, Risk Propensity and Empathy. MATERIAL AND METHODS: The study involved examination of 150 subjects, including 111 with asthma of different degrees of control, all of whom were young, professionally active people. Two validated questionnaires (IVE Impulsivity Questionnaire and Type A Scale) were used to assess the correlation between the degrees of asthma control and type A behavior pattern, Empathy, Impulsivity and Risk Propensity. RESULTS: The level of type A behavior pattern was significantly higher in the subjects with poorly controlled asthma as compared with those with partially controlled and well-controlled asthma and with healthy subjects. Impulsivity and Risk Propensity were higher in the group with poorly controlled asthma compared with the other analyzed groups. Empathy was lower in the group with poorly controlled asthma than in the other analyzed groups. There was no difference in the intensity of the analyzed mental variables between persons with partially controlled and well-controlled asthma and people without bronchial asthma. CONCLUSIONS: Poor control of asthma may be associated with type A behavior pattern and high impulsivity and risk propensity.

Exploring entrepreneurial intentions in Latin American university students.

The aim of this study was to determine if entrepreneurial intention, based on Ajzen's model of planned behavior (1991), can be predicted by risk propensity, internal locus of control and leadership skills. Six standardized and reliable instruments were applied to 1493 undergraduate university business students in Latin American countries, selected through non-random quota sampling in accordance with their formation level in each of the five participating universities. Using structural equation techniques, the research model was validated and intention estimated and analyzed in relation to a set of socio-demographic variables. According to the results, entrepreneurial intention can be significantly predicted by the psychological variables under consideration and, contrary to what has been reported in other research, no gender differences were found in the intention of entrepreneurship. These findings are discussed.

El propósito de este estudio fue determinar si la intención de emprendimiento, basada en el modelo de comportamiento planeado de Ajzen (1991), puede predecirse a partir de la propensión al riesgo, el locus de control interno y las habilidades de liderazgo. Se aplicaron seis instrumentos estandarizados y confiables a 1493 estudiantes latinoamericanos de áreas empresariales, utilizando un muestreo no probabilístico por cuota según año de formación en cada universidad. A través de ecuaciones estructurales se validó el modelo de investigación propuesto y se estimó y analizo la intención en relación con las variables sociodemográficas. De acuerdo con los resultados, la intención de emprendimiento puede predecirse significativamente con las variables psicológicas estudiadas y contrario a lo hallado en otros estudios no se encontraron diferencias por género. Se discuten estos hallazgos.