Abstract
Abstract
This study attempts to investigate the influence of the Big Five personality traits and self-efficacy (SE) on entrepreneurial intentions. It also aims to find out whether the influence of a set of personality traits and SE on entrepreneurial intention differs across gender. The target population of this study was students enrolled in Bachelor of Technology (BTech). The results offer support for the relation of openness, neuroticism, conscientiousness and agreeableness, and SE with entrepreneurial intention—except on the relation of extraversion and entrepreneurial intention. Based on the findings, the study argues that the relationship between entrepreneurial intention and Big Five personality traits is moderated, at least partially, by gender.
Introduction
Sondari (2014) and Guerrero, Rialp and Urbano (2008) defined that entrepreneurial intention is a state of mind that people wish to create their own business and as an intention to start a new business. The current study refers to the students’ intentions of becoming self-employed either by way of setting up their own firm or taking over an existing one (Thompson, 2009). Personality traits which are partly developed by innate nurturing, socialisation, education and, also, formed values/beliefs held play an important role in driving entrepreneurial decision-making. Previous studies have examined numerous personality constructs in the field of entrepreneurship, and various personality traits have been linked to business intention (Olakitan, 2014). Most studies involving the relationship between personality traits on entrepreneurship yielded inconclusive finding (Abu Elanain, 2008; Ong & Ismail, 2008). Researchers who found a strong relationship between entrepreneurial intention and personality traits found need for achievement, locus of control, innovativeness and risk-taking propensity as the most popular attributes influencing entrepreneurial intention (Begley & Boyd 1987; Johnson, 1990; Lee & Tsang, 2001 as cited by Akanbi, 2013). Other personality attributes found by other researchers in relation to entrepreneurial intention include overconfidence, optimism, tenacity and passion (Busenitz, 1999; Cooper, Woo & Dunkelberg, 1988; Gartner, Gatewood & Shaver, 1991; Locke, 1993). Very few research experts have used the measure of personality traits (Big Five personality taxonomy dimensions which include extraversion [EXTRAV], neuroticism [NEURO], agreeableness [AGREE], conscientiousness [CONSC] and openness [OPEN]) to predict entrepreneurial intention and the results are also inconclusive at best (Akanbi, 2013). The current study, which uses the Big Five personality as a measure of personality trait, attempts to fill this lacuna in studies investigating the influence of the Big Five personality traits on entrepreneurial intentions.
Ryan (1970) states that self-efficacy (SE) also determines intention to become an entrepreneur. Bandura, (1982) States that self-efficacy is the conviction, closest to action or action intentionality, which is required to produce an outcome. Its perceptions are pivotal to self-employment (Scherer, F.R., et. al. 1989), which can be used to predict and study the entrepreneur’s intention. Several studies reported the significant role played by SE as an important antecedent in the formation of entrepreneurial intentions (Wilson, Kickul, & Marlino, 2007) and found SE to be a key determinant of entrepreneurial intentions and/or activity (Fitzsimmons & Douglas, 2011).
In conceiving personality as a complex system (Caprara & Cervone, 2000), one may view at personality traits and at SE as both crucial to account for entrepreneurial intention (Caprara, Vecchione, Alessandri, Gerbino, & Barbaranelli, 2011). The contribution of personality traits and SE in the prediction of entrepreneurial intention of students is conspicuously absent within the literature. Studies analysing the composite contribution of personality traits and SE to the prediction of entrepreneurial intention of the participants is seldom found in the literature (Akanbi, 2013). This study, therefore, fills this lacuna by aiming at exploring the influence of personality traits and SE in the prediction of entrepreneurial intention among students, which forms the first research question of this study.
There is general agreement in a previous research that personality traits and SE are key factors on entrepreneurial intentions and in that gender also seems to play a key role (Díaz-García & Jiménez, 2010). With the growing interest in research that has focused on women’s entrepreneurship (Lerner & Malach-Pines, 2010), there exists several studies that assessed that individuals’ gender plays a fundamental role in assessing entrepreneurial intentions (Van Der Zwan, 2012 as cited by Robledo, Aran, Martin-Sanchez, & Molina, 2015). Despite various studies that includes gender, the literature still lacks a deeper fine-grained analysis of students’ gender effect on entrepreneurial intentions looking at the moderator influence (Robledo et al., 2015). Therefore, our second aim is to establish whether the influence of personality traits and SE on entrepreneurial intentions differs across gender, enhancing our understanding of different entrepreneurship prevalence rates between men and women and it becomes the second research question of the study.
Literature Review
Why do people become entrepreneurs? A recent research has indicated that some of the variance in who becomes an entrepreneur is accounted for by genetic factors (Nicolaou, Shane, Cherkas, Hunkin, & Spector, 2008). Unfortunately, till date research says little about how genetic factors might influence this tendency. Because we are unlikely to have specific genes for entrepreneurship, the influence of genetic factors on the likelihood of becoming an entrepreneur probably operates through mediating mechanism. One plausible mechanism is through personality. Because of the centrality of the person, entrepreneur, to entrepreneurship, different personal characteristics of an entrepreneur have been investigated in the past research (Antoncic, Bratkovic, Singh, & De Noble, 2008). Newer reviews and evaluations of entrepreneurship personality research suggest that personality traits of entrepreneurs may be important for entrepreneurship. However, insufficient research attention has been given to the general personality traits, such as the Big Five personality factors (Antoncic et al., 2008). Rauch and Frese (2007) have distinguished two sets of personality traits: broad (general) personality traits (EXTRAV,CONSC) and specific personality traits (need for achievement, risk taking, innovativeness, autonomy, locus of control and SE); both can be related to venture success. In this research, the focus is on general personality traits—the Big Five personality traits. The Big Five personality factors can be described as follows (Carducci, 1998): (O) OPEN, originality, open-mindedness [traits, e.g., artistic (+), insightful (+), intelligent (+), commonplace (–), narrow interest (–) and shallow (–)]; (C) CONSC, control, constraint (traits, e.g., deliberate (+), efficient (+), precise (+), careless (–), frivolous (–) and irresponsible (–); (E) EXTRAV, energy, enthusiasm (traits, e.g., adventurous (+), assertive (+), dominant (+), sociable (+), quiet (–) reserved (–), retiring (–) and shy (–); (A) AGREE, altruism, affection (traits e.g., cooperative (+), generous (+), sympathetic (+), cruel (–), quarrelsome (–) and unfriendly (–); and (N) NEURO, negative affectivity, nervousness (traits, e.g., anxious (+) self-pitying (+), temperamental (+), calm (–), contented (–) and stable (–). Research on the relationship between entrepreneurship and personality found OPEN a significant factor (Antoncic et al., 2008). Howard and Howard (1995) suggested strongly that CONSC and EXTRAV can be characteristics of the entrepreneur. AGREE traits may be related to entrepreneurship in two opposite (positive and negative) directions, depending on the trait group (Antoncic et al., 2008). Some AGREE traits from Goldberg (1990) may form one group, such as cooperative, helpful, patient, cordial, friendly, trustful and diplomatic, whereas traits such as combative, harsh, bossy, demanding domineering, manipulative, rude and ruthless may form the other group. The first group may be important for establishing good supportive relationship for technological innovativeness (Antoncic & Prodan, 2008), whereas the second group may be also important for fast implementation of technology development plans. NEURO (the reverse of emotional stability) may be negatively related to entrepreneurship activities and orientations (Singh & Noble, 2003). Autonomy or independence may be important motivators for entrepreneurship. Table 1 summarises the definitions and conceptual source of Big Five.
The predominant intention models, widely used to study entrepreneurship, are Ajzen’s (1991) theory of planned behaviour (TPB) and Shapero’s model of the entrepreneurial event (1982). In the Ajzen model there are three sets of cognitive variables, ‘antecedents’, which exert their influence on intention. They are ‘subjective norms’, the ‘perceived behavioural control’ and ‘attitude towards entrepreneurship’. This study adopts only SE (perceived behavioural control). Entrepreneurship theorists have proposed that SE also plays an instrumental role in the formation of entrepreneurial intentions (Sequeira, Mueller, & Mcgee, 2007).
Constructs, Definitions and Conceptual Source
A conceptual model which includes all these hypotheses is presented in Figure 1.

Framing of Hypotheses
Researchers who found a strong relationship between entrepreneurial intention and personality traits found the need for achievement, locus of control, innovativeness and risk-taking propensity as the most popular attributes influencing entrepreneurial aspiration of people (Lee & Tsang, 2001). Other personality attributes found by other researchers in relation to entrepreneurial intention include overconfidence, optimism, tenacity and passion (Busenitz, 1999). Other research experts have used the recent measure of personality traits (Big Five personality taxonomy) to predict entrepreneurial intention. These personality dimensions include EXTRAV, NEURO, AGREE, CONSC and OPEN to experience. Using the scale of Big Five personality traits, Chem, Jing and Sung (2012) found AGREE, OPEN to experience, EXTRAV and CONSC to significantly and positively influence entrepreneurship, while NEURO also had a significant but negative influence on entrepreneurship. The current study also uses the Big Five personality as a measure of personality trait.
Openness (OPEN)
Individual who are high on the OPEN dimension are not afraid of new challenges; they are versatile, imaginative and often display high degree of creativity (Yong, 2007). Entrepreneurs have been found to have greater OPEN compared to administrative personnel due to their need to be creative (Nordvik & Brovold, 1998). OPEN to experience is the personality dimension that is expected to be the most indicative of those who form stronger entrepreneurial intentions than others (Brice, 2002).
H1: OPEN is positively related to entrepreneurial intentions.
Extraversion (EXTRAV)
EXTRAV contributes towards the proactive personality required in fuelling the instinct and driving the charismatic vision of the entrepreneur (Crant, 1996); EXTRAV also creates a positive perceived locus of control as they are driven to fulfil their risk-taking propensity and need for achievement (McCarthy, 2003). Entrepreneurs have been found to possess higher EXTRAV than administrative worker (Nordvik & Brovold, 1998), and this assertiveness positively influences entrepreneurial success (Caliendo & Kritikos, 2008). EXTRAV is hypothesised to have a positive and direct relationship with the formation of entrepreneurial intentions since it has been demonstrated to strongly correlate with interest in enterprising occupations (Brice, 2002).
H2: EXTRAV is positively related to entrepreneurial intentions.
Agreeableness (AGREE)
AGREE concerns the ability to foster social consensus while upholding mutual understanding and trust (Llewellyn & Wilson, 2003; Yong, 2007). AGREE in interpersonal relationships includes the ability to be good listeners, be patient, to empathise and promote harmony in social interactions (Caliendo & Kritikos, 2008). Trusting and cooperative environments establish good rapport in alliances which facilitate exchange of technologies and raising capital for growth (Ciavarella, Buchholtz, Riodan, Gatewood, & Stokes, 2004). Nonetheless, overly agreeable individual characteristics may lead to compromise to gain acceptance of others and lower risk-taking propensity for unpopular venture. The following hypothesis is posited.
H3: AGREE is positively related to entrepreneurial intentions.
Conscientiousness (CONSC)
The CONSC trait relates to an individual’s meticulousness, conformance with rules/procedures and the incessant obsession in maintaining high standards of performance (Llewellyn & Wilson, 2003; Yong, 2007). Conscientious individuals are driven by a strong sense of responsibility, industriousness and need for achievement, which promote their dependability at work. CONSC has also been positively linked to long-term survival of a business venture (Ciavarella et al., 2004). As such, the following hypothesis is posited.
H4: CONSC is positively related to entrepreneurial intentions.
Neuroticism (NEURO)
NEURO is the degree of emotional stability of the individual (Llewellyn & Wilson, 2003; Yong, 2007). Individuals who are highly neurotic often display mood swings, impulsiveness, self-consciousness, low self-esteem and depression (Costa & McCrae, 1992). As such, low NEURO scores are expected. Thus, the following hypothesis is posited.
H5: NEURO is negatively related to entrepreneurial intentions.
Self-efficacy
Available studies demonstrated that people with higher SE have higher entrepreneurial intentions (Wang, Wong, & Lu, 2002). Further, Boyd and Vozikis (1994) explained that individuals with higher degrees of SE in the early stages of career development will have higher entrepreneurial intentions, and those with both higher SE and higher intentions will have a higher probability of being involved in entrepreneurial activities, later in life.
H6: A higher perception of SE is related positively with entrepreneurial intention.
Since the purpose of this study is to take into account different mechanisms in which gender can exert an effect on performance, the studies which serve as a basis for hypothesis’ development give gender a central role.
Gender’s Role in Traits
Sex differences in personality traits do appear to be larger and more robust than sex differences in other domains such as cognitive ability, attribution style and self-esteem (else adult or a college-aged man or woman whom they knew well and to rate that person’s personality traits, using the NEO-PI_R (McCrae, Terracciano, & 78 Members of the personality profiles of Cultures Project, 2005). Therefore, it is proposed that
H7: Women will report higher score in NEURO, AGREE, EXTRAV, OPEN and CONSC than men.
H8: Gender moderates the relationship between Big Five personality traits and entrepreneurial intentions.
Gender’s Role in Self-efficacy
Women shy away from entrepreneurial activity more frequently than men due to a lower perception of SE in carrying out entrepreneurial tasks (Kwong, Brooksbank, Jones-Evans, & Thompson, 2006; Wilson, Marlino, & Kickul, 2004). Besides, women less frequently perceive themselves as entrepreneurs (Verheul, Uhlaner, & Thurik, 2010). Focusing on youth, young females perceive themselves as having a lower level of SE in stereotypically male areas, which also is related to entrepreneurship (Marlino & Wilson, 2003), and, therefore, embark on entrepreneurial ventures to a far lesser extent (Wilson et al., 2007). However, gender might also have a moderating effect on the impact of perceived SE on entrepreneurial intention. Hence, it is proposed that
H9: Women have a less optimistic perception of SE.
H10: Gender moderates the relationship between SE and entrepreneurial intention.
Entrepreneurial Intention
The results of several studies reveal that men, in comparison with women, consider entrepreneurship more desirable than other careers (Veciana, Aponte, & Urbano, 2005), have a higher perception of personal efficacy for the task and a higher preference for firm creation (Zhao, Seibert, & Hills, 2005). Other studies observe that the number of men involved in starting businesses is significantly larger than women (Davidsson, 2006). Therefore, it is suggested that
H11: Male students have higher entrepreneurial intention than female students.
Methodology
Participants
The sample for this study is made up of students (a convenient sample and a dynamic segment in the digital era and represent a main source of entrepreneurial talent and did not differ in a significant way from business owners in variables like conformity, energy level, interpersonal affect, social ability and risk aversion—Sexton & Bowman, 1986; Veciana et al., 2005), since they increasingly see the founding of a company as an attractive alternative to wage employment (Guerrero et al., 2008), and little is known about what young people perceive or think about entrepreneurial activity (Kourilsky & Walstad, 1998). Moreover, it is believed that long-term solutions to reduce gender differential in entrepreneurship have to begin in the education system. The target population of this study was students enrolled in BTech (fourth year) degree in the academic year of 2008– 2009 in the university of National Institute of Technology, Tiruchirappalli (southern India). The students enrolled in these courses have taken two subjects related to business management, which are required to complete their degree. The total population was 667 students; the breakdown of students according to sex was men (65 per cent) and women (35 per cent). The questionnaire was completed by the students who were in class on the day it was handed out and participation was voluntary. After reviewing the questionnaires, 248 students (who actually completed the survey) were usable for the study giving a response rate of 37.18 per cent with a sample error of –5 per cent at confidence level of 95 per cent (p = q = 0.5). The proportion of men to women in the sample was 60.1 per cent men and 39.9 per cent women.
Measures
Big Five Personality Traits
The Big Five personality factors were measured by Saucier’s Mini Markers inventory (also used and tested in entrepreneurship by Singh and De Noble (2003)), which includes eight adjectives for each personality factor: (a) OPEN adjectives: creative, imaginative philosophical, intellectual, complex, deep, uncreative and unintellectual; (b) CONSC adjectives: organised, efficient, systematic, practical, disorganised, sloppy, inefficient and careless; (c) EXTRAV adjectives: talkative, extraverted, bold, energetic, shy, quiet, bashful and withdrawn; (d) agreeable adjectives: sympathetic, warm, kind, cooperative, cold, unsympathetic, rude and harsh; and (e) NEURO adjectives: unanimous, relaxed, moody, jealous, temperamental, envious, touchy and fretful. Respondents personally reported the accuracy of the forty adjectives with respect to themselves on the 5-point Likert-type scale with anchors from very untrue to very true. Reliability or internal consistency of the items within each construct of this study is assessed by observing the Cronbach’s alpha (Cavana, Delahaye, & Sekaran, 2000).
Self-efficacy
Sequeira et al. (2007) identified 75 entrepreneurial tasks from which they developed a 60 item Likert-type scale for measuring SE. To streamline the survey administration process, the author reduced the number of items to 20. The respondents were asked to assess their SE with regard to each of the 20 entrepreneurial tasks. They were given the following general instructions: ‘Envision that you have an opportunity to start your own business. Using the following scale, please rate yourself on your level of confidence in completing the tasks listed below.’ The scale was anchored by 1 = ‘ I have no confidence in my ability to …’ and 5 = ‘I have complete confidence in my ability to …’.
Pattern Matrix Self-efficacy Scales
Personal Attributes of the Successful Entrepreneur
Personal attributes questionnaire (PAQI): Two scales ‘instrumental’ and ‘expressive’ characteristics traditionally ascribed to men and to women, respectively, by Spence and Helmreich (1978) were used to find masculine and feminine attributes of the stereotypical perception of the successful business owner of the participants.
Entrepreneurial Intention
Previous studies had used either a one-year (Autio, Keeley, Klofsten, Parker, & Hay, 2001) or a five-year measure (Krueger, Reilly, & Carsrud, 2000). For this investigation, the study used both measures: the stated likelihood, on a scale of 1 through 5, of starting a business within one year or five years.
Gender was operationalised as 1 for females and 0 for males.
Data were analysed using d statistic, student t-test and a multinomial logistic regression.
Results
Pattern Matrix—Big Five Personality Traits
The Magnitude of Sex Differences in Personality Traits
Overall, the magnitudes of sex differences (expressed in terms of the d statistic, in which the mean score of one gender is subtracted from the mean score of the other and is then divided by the pooled standard deviation 1
The d statistic is usually computed to identify sex differences in personality traits. Cohen (1988) defines sex differences in terms of d. It is large if d is greater than .80, moderate if it is between .50 and .80 and small if it is between .20 and .50. Other studies on sex differences in personality traits (Costa et al., 2001) have computed d statistic, a positive value indicates that women have scored more on a particular trait, and this convention has been used to increase the comparability of the current findings with previous studies.
Mean z Score Differences (d) between Women and Men on Big Five
Multinomial Logistic Regressiona
Model fitting information: likelihood ratio test chi-sqaure = 106.142; sig. = 0.000; goodness of fit Pearson chi-square = 279.384; sig. = 1.000; deviance chi-square = 210.846; sig. = 1.000; pseudo R-square Nagerkerke = 0.629; percentage correctly classified = 69.9 per cent.
a With respect to the significance of the Wald test for the parameters, the subtle semantic difference among the response categories 3, 4, and 5 might explain why the majority of the explanatory variables are only significant to a 0.10 level.
The students’ valuation of the stereotypical masculine characteristics, according to PAQ the right semicircle, is greater (4.57 on an average) than the valuation given to the feminine characteristics (3.67 on an average). These results are in line with those by Gupta, Turban, Wasti and Sikdar (2009) since they found that entrepreneurs are still perceived to have predominantly masculine characteristics. There is only one significant difference since women perceive less gentleness in the traits of successful entrepreneurs than their male counterparts (t = 20.26; sig = 0.045). However, they also observe that women perceive a greater congruence between feminine and entrepreneurial characteristics. Following these analyses, a multinomial logistic regression was performed with entrepreneurial intention being the dependent variable (the reference category being: ‘Yes, I have the firm intention to start in one year’). The independent variables are demographic: the OPEN, EXTRAV, CONSC, NEURO, AGREE and SE. A personalised model was implemented in which these variables were entered as forced entry terms and the interaction terms with gender were entered as stepwise forward entry terms. Table 5 shows a summary of the model, showing those measures that allow us to affirm that the final model has a good fit to the data, since the pseudo R2 of Nagelkerke indicates that 62.9 per cent of the variation is explained by the model. It can also be observed that the significance of the likelihood ratio test is small, which means that the effects contribute to the model. With respect to the goodness of fit tests, it can be pointed out that their significance is high, which confirms that the model fits well to the data. The final model correctly predicts 69.9 per cent of the responses; this regression allows us to observe that two variables differentiate those who have a firm entrepreneurial intention to start business in 1 year from individuals who have intention to start in 5 years: the former has more SE in marshalling scoreless in OPEN. Also, those who are determined to create their own firm in 1 year have more SE in searching, with respect to those who have thought about creating their own firm in 5 years. Also, those who are determined to create their own firm have more SE in searching, with respect to those who have never thought about creating their own firm. Additionally, the other variables that characterise those individuals who have a firm entrepreneurial intention to start business in 1 year in comparison with those who have intention to start in 5 years are OPEN, NEURO, CONSC and AGREE.

These results offer support for hypotheses 1 and 6 on the relation of OPEN, NEURO, CONSC, AGREE and SE with entrepreneurial intention, and partial support for hypothesis 2, on the relation of EXTRAV and entrepreneurial intention. These findings are in line with those of the previous researches (Brice, 2002; Nga & Shamuganathan, 2010). Another finding of this study is that men are more likely to have thought about the intention of creating a firm than of being determined to do it. However, of those men, the ones who perceive higher congruence between masculine and entrepreneurial characteristics are more likely to have a firm entrepreneurial intention in 2 years. This may be related with men’s tendency to hold stronger views on gender role stereotypes (Miller & Budd, 1999). Therefore, it can be argued that the relationship between entrepreneurial intention and Big Five personality traits is moderated, at least partially, by gender; a finding which supports hypothesis 8. However, the evidence does not support hypothesis 10, on the moderating effect of gender in the relationship between SE and entrepreneurial intention. This suggests that the perception of having the necessary skills and training is an important factor in determining actual entrepreneurial participation, independent from other contextual variables, including gender.
Results of Hypotheses
Discussion
In the entrepreneurship literature, entrepreneurial intention is considered as the first step of the long-term process of venture creation (Krueger et al., 2000; Lee & Wong, 2004; Ranwala & Dissanayake, 2016). Many scholars have paid attention on the personality traits when describing entrepreneurial intention. Five factor model has been commonly used in those studies to assess the personality (Ranwala & Dissanayake, 2016). Similarly, scholars have paid attention on the relationship between entrepreneurial intention and SE (Zhang et al., 2009). At the same time, scholars have paid attention on the relationship between entrepreneurial intention and demographic variables, especially the gender (Urban, 2006). Due to the empirical background the present research used Big Five model and SE, and aimed to investigate the influence of the Big Five personality traits and SE on entrepreneurial intentions. It also aimed to find out whether the influence of a set of personality traits and SE on entrepreneurial intention differs across gender. The findings of this study is also in agreement with the studies of Crant (1996) and Zhao and Seibert (2005), who found that entrepreneurial intention is determined by different personality attributes. The relationship between SE and entrepreneurial intention is also high. This is in consonance with the findings of Boyd and Vozikis (1994), Krueger et al. (2000) and Wang et al. (2002) who found that people with high sense of SE have higher entrepreneurial aspiration. The reason could be linked to the fact that belief in one’s ability to be successful in a course of action is what a potential entrepreneur needs to be successful in his course of action (Akanbi, 2013). In case of SE, this study adopts perceived behaviour control of Ajzen’s TPB. The empirical results show that students’ SE towards creating a new firm indeed exerts positive influences on entrepreneurial intentions, and gender does not seem to influence entrepreneurial intentions in a different way in our case. These results are consistent with studies of Robledo et al. (2015). While the earlier study by Scherer et al. (1990) found men to have higher entrepreneurial SE than women, more recent studies (Zhao et al., 2005) did not support the findings. The results of this study confirm these more recent findings. Although not particularly surprising or remarkable, this research’s finding of ‘no difference’ between men and women in SE is an important evidence in support of the argument that times are changing. Today, one’s gender (male or female) is no longer a reliable predictor of entrepreneurial SE. These results could be indicating that old stereotypes that portray entrepreneurial and self-employment career choice intentions as a male-oriented domain may be disappearing, except for the larger influence of the perceived social pressure women feel (Robledo et al., 2015).
Personality traits play an important role in influencing the number of would-be entrepreneurs (Rauch & Frese, 2007). Successful entrepreneurs must be agreeable, open, conscientious, confident, creative and possess strong judgement to adapt to the changing scenario in the current business world (Van Der Zwan, 2012). Personality traits, often pre-cursor to one’s beliefs, and attitudes known to predict entrepreneurial success can provide guidance for young adults interested in entrepreneurship. Our empirical study demonstrates the positive relationship between OPEN, NEURO, CONSC, AGREE and SE with entrepreneurial intention. It indicates that people who are exceptionally open or conscientious, highly agreeable and neurotic will potentially form stronger entrepreneurial intentions more than others. In regards to gender, some interesting findings emerged. Our study shows that women report significantly higher score levels of NEURO, AGREE, EXTRAV and CONSC than men report. Although past research has shown that women may be less confident in their entrepreneurial skills and generally less likely to actually start a business (Sequeira et al., 2007), hopefully change is on the way. Our findings reinforce Brush’s point (1998).
Implications
The study has implications for research and entrepreneurial practice. Entrepreneurship scholars may like to consider using the entrepreneur’s general personality variables as crucial elements of entrepreneurial intention, particularly the Big Five personality factors. In addition, entrepreneurship policymakers may consider promoting and enhancing some personality factors (particularly OPEN and emotional stability) in the educational system among children, who may still have the potential for alterations in their general personality factors. The results of this study also have implications in the practice of small business consulting. By clearly identifying the fundamental skills that are needed during each phase of the venture creation process, entrepreneurship training, education programmes and consulting services can be targeted towards improvement in these skills to effectively inculcate SE in both men and women.
Finally, female students who believe that entrepreneurial success is based on the existence of male stereotypical traits perceive barriers to personal entrepreneurial action. Educators have to foster a feminine vision of entrepreneurial success, especially among women, since many traits (such as relationship-oriented, nurturing and caring) regarded by experts to be important for entrepreneurship success are stereotypically feminine. Therefore, it is important to have ‘gender sensitive programming’ to satisfy the need of both genders.
Limitations and Future Research
The study acknowledges that the students sample may not be a representative of the total population. In future researches, the representativeness of the sample should be improved. Future studies, using a broader and more diverse sample in terms of age, education, ethnicity and social–economic background may reveal greater SE between men and women that was found in engineering students. Data have been analysed using d statistic, student t-tests and multinomial logistic regression; however, alternative techniques, such as structural equations models, could be used to confirm or reject the obtained. Finally, we were able to obtain completed survey instruments only from 247 out of 667.
