Rabia Khawar1
Rizwana Amin
Asia Zulfqar- 1Department of Applied Psychology, Government College University, Faisalabad, Pakistan
- 2Department of Professional Psychology, Bahria University, Islamabad, Pakistan
- 3Department of Education, Bahauddin Zakariya University, Multan, Pakistan
This study examined the mediating role of core Executive Functions (EF: working memory and inhibitory control) and moderating role of Perceived Academic Intent to Entrepreneurship (PAIE) in relationship between Dark Personality Traits (SDT) and Entrepreneurial Intentions (EI) of university students. A sample of 539 university students enrolled in various undergraduate and postgraduate programs completed the Short Dark Triad-3 (SD3), Adult Executive Functioning Inventory (ADEXI), and measures for assessing Entrepreneurial Intent and Perceived Academic Intent to Entrepreneurship. The results showed that of SDT, only Machiavellianism was significantly associated with EI. Both of the core executive functions and PAIE were also positively correlated with EI. Moreover, findings showed that EF positively mediated the relationship between Machiavellian disposition and entrepreneurial intention, while perceived academic intent to entrepreneurship moderated the relationship between executive functions and EI. A significant moderated mediation index was also reported. Findings offer useful insight to the interplay among above mentioned variables and guide educational and organizational psychologists to employ core cognitive strategies for promoting entrepreneurial thoughts and channelizing the productive energies of students with malevolent tendencies through academic coaching.
Introduction
Personality traits have been directly or indirectly connected to individuals’ tendencies to involve in innovative business ventures (Fayolle et al., 2014; Cardon and Kirk, 2015; Krueger, 2017). Despite the growing literature on dark triad traits within entrepreneurial context (Klotz and Neubaum, 2016; Wu et al., 2019a), yet it is difficult to derive consistent conclusions. It is therefore important to investigate the underlying mechanism of this relationship by studying various factors that possibly mediate or moderate the link between negative personality manifestations and entrepreneurial intentions related to entrepreneurship (Hoang et al., 2022).
The entrepreneurial process actually requires planning and behavior (Ajzen, 1991), which is influenced by individuals’ personality traits (Tucker et al., 2016; Farrukh et al., 2018) either positive (Brännback and Carsrud, 2018; Naz et al., 2020) or negative (Treffers, 2017). Farrukh et al. (2017) identified that personality traits not only impacts on intentions but also determined behavior followed by intentions. Dark triad mainly includes Machiavellianism, narcissism, and psychopathy as set of malevolent dispositions characterized by a tendency of self-promotion, devious nature, emotional coldness, sense of dominance, and antagonistic propensities (Paulhus and Williams, 2002; Paulhus and Jones, 2015). Besides adverse psychosocial impacts of core dark personality traits, studies have also shown some growth-oriented outcomes (Judge et al., 2009). Researchers have also elucidated the imminent benefits of the dark triad (Brunell et al., 2008; Jones and Figueredo, 2013), including its convincing role in entrepreneurial intentions across cultures (Klotz and Neubaum, 2016; Do and Dadvari, 2017).
To understand the productive aspect of a negative personality within an entrepreneurial context, it is important to unravel the thought process and cognitive attributes that account for the process of new venture creation. Cognitive processes are likely to guide the entrepreneurial intention as it involves deliberate actions (Gollwitzer and Bayer, 1999; Smith and Kosslyn, 2013). Higher order cognitive processes include human executive functioning skills (EFS) that are characterized by working memory, inhibitory control, cognitive flexibility, planning, and reasoning (Cristofori et al., 2019). These functions also enable an individual to adapt novel situations, achieve goals, and manage social interactions. Both emotional and analytical cognitive styles may influence human behavior, especially decision-making in every walk of life including entrepreneurial tendencies, intentions, decisions, and activities (Barbosa et al., 2007; Kickul et al., 2009; Krueger and Welpe, 2014). Studying particular executive functions may also help in understanding the particular cognitive styles in relation to the entrepreneurial process. So far, researchers have mainly focused on the cognitive flexibility aspect of executive functioning within an entrepreneurial framework (Dheer and Lenartowicz, 2019; Jiatong et al., 2021), while the role of working memory and inhibitory control is yet to be explored. Pihie et al. (2013) have delineated the cognitive underpinning of entrepreneurial intentions among university students from a knowledge perspective. Knowing your own thought process about a certain thing is a metacognitive ability (Schraw and Dennison, 1994) that could facilitate entrepreneurial learning.
Universities play an important role in a country’s economic growth and development by equipping its students with life-long skills and knowledge (Oketch et al., 2014). In today’s world, universities are not only considered the hub of creating, producing, and disseminating knowledge but also encourage industry engagement in terms of practicing their innovative ideas and commercialization (Striukova and Rayna, 2015) which ultimately contributes in knowledge based economy (Brown, 2016; Parmentola and Ferretti, 2018; Klofsten et al., 2019; Halbinger, 2020). It is important to seek enablers that may foster entrepreneurial intentions among university students. Entrepreneurial activities with educational set up have given rise to the concept of academic entrepreneurship that has been studied on a lesser extent (Rothaermel et al., 2007; Djokovic and Souitaris, 2008). Generally, activities at the university level involving innovation and commercialization are considered as academic entrepreneurship (Abreu and Grinevich, 2013; Wang et al., 2020). Zhang et al. (2022) accentuated the noticeable role of academic entrepreneurship in devising research activities that may generate revenue for the universities and focused on exploring the willingness of academicians toward entrepreneurial activities.
Being a middle income developing country, and despite the growing need for innovative startups due to discouraging job market trends, increasing inflation, and floating economy, Pakistan has considerably lower rates of entrepreneurial activities than others and ranked 122 out of 134 countries (Acs et al., 2017; Faghih et al., 2019). Following the guidelines provided by the Higher Education Commission, higher education institutes are now introducing entrepreneur education and developing business incubation programs to promote student startups (Higher Education Commission, 2020). It is important to develop insight among students for fruitful outcomes of these efforts. Lack of knowledge and understanding of the subject even after earning a degree in it could be the main reason for their failure in the job market (Farooq et al., 2014). The same factor may account for students’ lack of interest in entrepreneurial activities. The understanding of academic entrepreneurship is still nascent and suggests investigating the perspectives of stakeholders including university administration, teachers, researchers, and the students. Moreover, both individual and contextual factors may influence academic activities related to entrepreneurship (Perkmann et al., 2013). While advocating the extended model of planned behavior theory, Lihua (2021) highlighted the importance of student life as a foundation stage of entrepreneurial intentions and attitude. He further discussed the role of probable personal and situational factors, having substantial influence on the development of students’ entrepreneurial intention. Students’ perception and knowledge of entrepreneurial processes has been considered a good predictor of their current and later engagement in entrepreneurial activities (Pihie et al., 2013). Owing to the complexity in conceptualizing the term academic entrepreneurship in research, we prefer studying its foundation stage. For the present study, university students’ understanding of their curricula utility for new and innovative business ventures can be conceptualized as the perceived academic intent to entrepreneurship. This viewpoint gives rise to the question as to how students’ perceived academic intent to entrepreneurship may guide their entrepreneurial intentions, when combined with individual level factors including personality traits and core cognitive abilities. Considering the above mentioned gaps the present study is an effort to understand the relationship between dark triad dispositions, core executive functions, entrepreneurial intent, and perceived academic intent to entrepreneurship among university students in Pakistan.
Literature review and hypothesis formulation
Dark personality traits and entrepreneurial intentions
Individuals with dark personality traits violate social norms making oneself more prone to risk-taking. Machiavellianism is a personality trait that is self-serving, dishonest, strategic, and manipulative (Zettler et al., 2011; Al Aïn et al., 2013). People with narcissistic tendencies have a strong ambition to achieve personal objectives, eager to develop, and crave attention (O'Boyle et al., 2012). Psychopathy basically refers to the inability to notice, comprehend, or address emotions because of a lack of emotional intelligence and empathy. Its key characteristics include manipulation, dishonesty, ruthlessness, and a desire for intense thrill and stimulation (Akhtar et al., 2013; Crysel et al., 2013). However, due to pursuing the maximizing of their own interests and have a strong desire to dominate others (Zheng et al., 2017) these malicious dispositions especially Machiavellianism and narcissism can be helpful in planning and enacting firsthand business startups (Klotz and Neubaum, 2016).
Existing work on role of personality attributes in entrepreneurial intention mostly employs notion of Ajzen (1991), which describes entrepreneurship as a planned behavior of the related intention; and defines entrepreneurial intention as conceptual demonstrations of an individual’s tendency to launch a business (Obschonka et al., 2015; Gorgievski et al., 2018). Prior research related to negative personality traits has been investigating the dark triad of personality and explored its impact on entrepreneurial intentions (Tucker et al., 2016). Foster et al. (2011) recognized that people who indulge in self-love and seek admiration (such as narcissists) from others are more likely to be an entrepreneur as they seem to be adventurous and do not hesitate to take any kind of risk. Narcissism has been considered a favorable trait in leadership (O’Reilly et al., 2014). By setting up a new business; an individual’s psychological needs of admiration are being fulfilled which leads them to seek the administrative post (Campbell and Campbell, 2009). It is evident through literature that psychopaths have fearless nature that may lead to setting up a new business (Dutton, 2012; Morgan and Sisak, 2016). Due to their nature, such people are likely to be smart, charming (Jonason and Krause, 2013), and tend to motivate EI among students.
Moreover, researchers (Lasko and Chester, 2020; Welsh and Lenzenweger, 2021) have discussed the new term “successful psychopath,” which refers to individuals with psychopath traits responsible and tends to be leaders—entrepreneurs. People who have Machiavellianistic traits tend to be manipulative and aspire to control others for achieving goals (Sherman et al., 2013). Along with controlling others, Machiavellians seem to be persuasive and capable of making adaptive decisions even in stressful situations. Development of adaptive decisions is common in entrepreneurs. Wu et al. (2019b) and Aleksandrovna (2021) have identified that narcissism and psychopathy have a negative effect on EI whereas Machiavellianism has a positive effect. Taking the variation across existing research findings into account, we assume the following:
H1: Dark Triad (Machiavellianism, Narcissism and Psychopathy) will be positively correlated with entrepreneurial intentions.
Executive functioning and entrepreneurial intentions
An individual’s desire to create a business opportunity for oneself is a cognitive state itself (Bullough et al., 2014). More specifically, researchers have found strong relationship between cognitive flexibility and different aspects of entrepreneurship, i.e., entrepreneurial competence (Kyndt and Baert, 2015; Alves and Yang, 2022), intentions (Neneh, 2019), and behavior (Simon et al., 2000; Mathews, 2017). Cognitive flexibility is an essential element of executive functioning (Miller et al., 2012). Jiatong et al. (2021) concluded that cognitive flexibility is not only positively related to entrepreneurial intentions as well as alertness but also has an indirect relation of alertness with cognitive flexibility via entrepreneurial efficacy. Clements et al. (2021) provided a framework that helps to understand entrepreneurial cognitions. The framework deals with how novel actions are rendered and how uncertainty is mediated by context, emotion, social cognitions, and metacognition.
Intention and behavioral control have also been identified as basic components of cognitive models of entrepreneurship (Ajzen, 1988; Karimi et al., 2012, 2013), and numerous researchers have confirmed the relationship between cognitive function with entrepreneurship intentions (Sánchez et al., 2011). Many of these researches have incorporated social cognitive perspective (Bandura, 1986) in their studies by evaluating the role of self-efficacy, perceived behavior control in entrepreneurial intentions and activities. However, the underlying mechanism of these variables and the core cognitive processes such as executive functioning skill has not been explicitly explored in relation to individual predispositions and entrepreneurial tendencies. Inhibition and working memory may also have major impact on Academic Entrepreneurial Intentions Students’ lack of business skills and entrepreneurial drive could be attributed to their lack of interest, shortage of resources, and poor understanding due to limited capacity of information processing (Almeida, 2017).
Neurocognitive underpinnings of innovative behavior may also be used to explain the entrepreneurial cognition, which will help in opportunity discovery (Beugré, 2017). Zhao and Xie (2020) have emphasized the need for considering the sources of cognitive mechanisms to explain entrepreneurial intentions. Both working memory and inhibitory control are the core executive functions that are frequently associated with top down processing, required in goal-oriented behavior and selective attention, respectively, (Diamond, 2013). These skills therefore may foster the entrepreneurial intent and also help the students to better relate their subject knowledge for entrepreneurial purposes. This leads us to propose the following hypothesis:
H2: Executive functions (working memory and inhibitory control) are positively correlated with entrepreneurial intentions and academic intent to entrepreneurship.
Academic intent to entrepreneurship and entrepreneurial intentions
Entrepreneurial intentions have been introduced as an outcome variable of interest in a university context (Prodan and Drnovsek, 2010; Goethner et al., 2012; Mosey et al., 2012; Obschonka et al., 2012). However, the scarce prior research that has analyzed determinants of entrepreneurial intentions in academia has only concentrated on the individual level. Given the relevance of understanding how contextual factors can either trigger or restrain entrepreneurial intentions, both from a research and policy perspective (Lee et al., 2011; Dohse and Walter, 2012) this study simultaneously accounts for drivers of students’ inclination to engage in commercialization activities. With regard to academics and entrepreneurial intentions, studies have mostly investigated the issues of patenting, authorizing, consulting, or contract research and spin-off projects. Here again, we highlight the importance of earlier phases in the entrepreneurial process and intend to study the role of perceived academic entrepreneurial intent in university students’ entrepreneurial intentions.
Research indicates that curricula being offered at universities during degree programs enable students to develop interest in starting new business (Franke and Lüthje, 2004). Entrepreneurial education has been offered in developed countries since the 1930s (Alberti et al., 2004; Kirby and Ibrahim, 2011). However, such programs have been incorporated at each level of education-school to university (Kyrö, 2018). Whereas developing countries are facing brain drain resulting in the shortage of skilled individuals in terms of entrepreneurship (Stark, 2004). Amos et al. (2015) and Anjum et al. (2018a) have identified that entrepreneurship education (EE) is linked with entrepreneurial intention. The selection of specialized fields also related to EI, like students who opt for business courses know more about the entrepreneurial process than other subjects (Dao et al., 2021). EE enables students to learn related knowledge and develop necessary skills through innovative activities such as developing a business plan and implementing it through small-scale business (Segal et al., 2005). This practical exposure within academic settings leads to entrepreneurial attitude and intentions among students. However, not all the subjects taught at university level include entrepreneurship as a course. Moreover, most of the research on entrepreneurial intent in Pakistan is conducted on students enrolled in programs of business and management sciences (Tanveer et al., 2013; Hussain and Malik, 2018). Theory of self-concept describes that ambitions and schemas of an individual could depend on the self-assessment of the circumstances and the environment (Jakobwitz and Egan, 2006). Hence, entrepreneurial intentions can be linked with the self-assessment of students; evaluation of obtained academic knowledge to formulate strategies required for taking practical steps to execute a novel business project. This landed us to define the following hypothesis:
H3: Perceived academic intent to entrepreneurship will be positively correlated with university students’ entrepreneurial intentions.
Interacted effect of EF and of PAIE on EI
To develop entrepreneurial intentions and attitudes in youth, Macquaire innovation learning and knowledge framework (Burshtein and Brodie, 2006) focuses on the categorization of the basic unit of knowledge and skills that should be part of an entrepreneurship education program. Working memory and inhibitory control as core executive functions are thought to be crucial for students’ learning capacity and knowledge inferences. Working memory serves as a workbench for information before transforming it to long-term recollections (Bergman Nutley and Söderqvist, 2017). Inhibitory control directly accentuates task-relevant knowledge, problem solving, and decision making processes. It can be concluded that the human cognitive structures comprise goal-driven control mechanisms to synchronize the level of stimulation of specific knowledge fragments and make diverting or unsolicited material in memory less reachable (Bajo et al., 2021). Students’ executive function skills therefore may interact with their understanding of the academic content for entrepreneurial purposes and both are likely to have a combined impact on entrepreneurial intentions. The following two hypotheses are put forwarded to study these assumptions:
H4: Perceived academic intent to entrepreneurship moderates the relationship between Executive functions and entrepreneurial intentions, i.e., the greater they perceived academic intent to entrepreneurship, the stronger the relationship between executive functions and entrepreneurial intentions.
EF as mediator between dark triad and EI
Dark Triad is known for its egocentric and self-benefitting roles (Jones and Paulhus, 2009). Machiavellian tendencies may assist in learning both adaptive and non-adaptive strategies to survive in challenging situations (Kaplan and Gangestad, 2005). Despite the evidence for traditional deficit model (Jonason and Tost, 2010), a growing body of literature has supported the productive and adaptive impression of Machevallianism (Bereczkei and Birkas, 2014), and neurobiological studies have also glided the idea of “Machiavellian Intelligence” (Bereczkei, 2018) especially that of fluid intelligence (Kowalski et al., 2018). Although the link between inhibition and Machiavellianism is not directly confirmed; however, some researchers have suggested the connection of certain EF skills such as McIlwain (2003) reported that Machiavellians are adept to inhibit an unprompted emotive response in support of other suitable but self-oriented reaction during social interaction.
Similarly, narcissism has been regarded as having productive and adaptive features in organizational context (Ding and Hou, 2017; Al-Ghazali and Afsar, 2021). Greater confidence rather than overconfidence may influence the rational appraisal of risk taking, thus making them favorable for creating business opportunities (Foster et al., 2009). Among Dark triad, psychopathy has been negatively linked to executive function skills (Newman and Baskin-Sommers, 2011) however, recent studies have demonstrated that people with psychopathic propensities may not be related to executive function deficits, or may even show has an edge over average population (Endres et al., 2011). Despite being darker in the triad, psychopathic dispositions have been found related to successful financial outcomes such as entrepreneurial intentions explained through mechanisms of disinhibition (Walker et al., 2020). It is important to note that although the direct links between dark triad, core executive functions, and entrepreneurial intentions have not been sufficiently established and documented so far, some indirect pathways provide evidence for the potential investigation in this context. Inhibitory control is associated with problem solving skills among university students (Galarza et al., 2020) while there is evidence for the direct role of cognitive processes in explaining locus of control (Wolinsky et al., 2010). Mathieu and St-Jean (2013) found a positive relationship between internal locus of control, self-efficacy and risk taking tendencies among student entrepreneurs and also associated these variables with narcissism among them. It is therefore interesting to explore the units of executive functions for their prospective thoughtful role in entrepreneurial intentions while considering individuals’ dark dispositions simultaneously. Finally, we decided to formulate the two hypotheses:
H5: Machiavellianism and Narcissism will have a positive relationship with executive functions while psychopathy will be negatively associated with executive functions.
H6: Executive functions will mediate the relationship between Dark Triad Traits and the Entrepreneurial Intentions.
Research methods
Participants and procedure
This study aimed to investigate the relationship between dark triad traits, core executive functions, entrepreneurial intent, and perceived academic intent to entrepreneurship among university students in Pakistan. The study follows a correlational cross-sectional research design. Regular students of university enrolled in their final semester of undergraduate and postgraduate degree programs (BS and MS/M.Phil) were included in the study. Students enrolled in weekend programs were excluded. Students with any physical and psychological disabilities were also excluded. In Pakistan, most of the data on entrepreneurial intentions have so far been collected from students studying business, management sciences, public administration, economics, or other relevant fields as major (Anjum et al., 2019; Zreen et al., 2019; Cai et al., 2021). The students could be already familiar with the item contents; therefore, we have not included the faculty of management sciences. There are only few studies conducted with students from other disciplines (Mahmood et al., 2012; Alam et al., 2019; Ali et al., 2019). The sample of the present study was conveniently drawn (based on availability and consent) from different departments from the faculties of engineering, life sciences, basic/physical sciences, and pharmaceutical sciences of three public sectors universities of Faisalabad, Multan, and Islamabad, respectively, during a period of 4 months from February 2022 to May 2022. Considering the entrepreneurial opportunities in the market for different subjects, similarity of the programs offered at three universities and consent of the participants, the data were collected from the department of electrical engineering (29.3%), computer science and information technology (35.1%), bioinformatics/biotechnology (10.6%), food science and technology (18.7%), and the pharmacology (6.3%). A total of 580 consent forms were distributed to the students in their respective classrooms after obtaining permission from the departments. Eighteen students did not provide the consent, so the survey research forms were completed by 562 students. Data of six students were excluded as they did not meet the inclusion criteria (had some physical or mental health issue as mentioned in demographic sheet) or had incomplete forms. Data of 553 students were entered to SPSS for analysis. Furthermore, 14 cases were excluded due to missing values and outliers. Thus, the final analysis was carried out on a sample of 539 students including 55.3% men and 44.7% women (Mage = 22.08; SDage = 2.15).
The study was approved by the Ethics Review Committee of the first author’s university. Data were collected from students in their classrooms after scheduling a meeting with them. Participants signed an informed consent form and were made sure that their personal information will be kept confidential. Brief instructions were given about questionnaires to the participants. Participants completed the questionnaires in one session of about 15–20 min. Lastly, we acknowledged the participants’ time and efforts.
Instruments
All the instruments were self-report and the original English versions were used since the medium of instruction in universities is English and students easily comprehend the language.
Demographic data sheet
Participants reported their characteristics on the demographic data sheet after signing the consent form. It included information about their gender, age, education, employment status, marital status, family size, and number of members earning the family, their parents’ education and occupation, monthly income of the family, any physical disability, and presence of any diagnosed mental or severe physical illness. Thus a detailed account of relevant characteristics was obtained.
The short dark triad
The short dark triad (SD3; Jones and Paulhus (2014)) consists of 27 items assessing the three domains of the dark personality namely Machiavellianism, Narcissism, and Psychopathy; each subscale containing the nine items. Responses were made on a Likert type format with 1 indicating “strongly disagree” to 5 indicating a “strongly agree.” Original authors of the instrument have reported reliability coefficients ranging from 0.68 to 0.74. The measure has been used in several Pakistani studies and has also been translated into Urdu, yielding good psychometric properties >0.65 (Abbas et al., 2022; Irfan et al., 2022).
Adult executive function inventory
Adult executive function inventory (ADEXI; Holst and Thorell, 2018) is one of the few brief self-report instruments available for assessing executive functioning (EF) in adults. It mainly focuses on the two EF domains, i.e., working memory and inhibition. Psychometric properties of ADEXI have been analyzed in different studies most recently and it was found to be a reliable and valid instrument for measuring the two important facets of executive functions. The studies confirmed the two factor structure with reliability coefficients greater than 0.80 (Holst and Thorell, 2018; López et al., 2021).
Entrepreneur intentions
Entrepreneur Intentions (EI) were measured through six items, which were derived from existing measures used by Miranda et al. (2017) who originally adopted the scale developed by Liñán and Chen (2009). Responses were recorded on the five point Likert type scale ranging from 1 (strongly disagree) to 5 (strongly agree). EI is a reliable and valid measure having excellent internal consistency of 0.89 and has been frequently used by researchers in Pakistan (Anjum et al., 2018b; Sarwar et al., 2021).
Perceived academic intent to entrepreneurship
In order to measure the academic intent to entrepreneurship, five items were developed by the authors of present study after consulting experts in the field. After a pilot test with 20 students, items were revised for further clarity. Cognitive debriefing with five more students was done to seek better interpretation of each item by the targeted population. No change was indicated. Items were later rated on a scale of 1–7 for their relevance to the construct being assessed. Ten experts from the field of psychometrics and business administration evaluated the items. Intra class coefficients for all the items were greater than 0.80 while Kappa coefficient was computed for the total score that yielded a value of 0.87. For the current study, participants rated their responses on five-point Likert type format in which 1 indicated strongly disagree and 5 indicated strongly agree. Here is the sample item from the scale, “My degree can play an important role in starting a business endeavor.”
Data processing and analytic strategy
Firstly, missing values were analyzed and cases with 10% or more missing responses were removed from the dataset. In contrast, missing values <10% were replaced with the serial mean method using missing values analysis in SPSS. Outliers were identified and excluded to ensure the normal distribution of the data. Further analyses were performed on a final data set of 539 participants. We computed descriptive and inferential statistics by using the SPSS 23.0 version. Internal consistency reliability coefficients of measures were estimated using Cronbach’s Alpha (Cronbach, 1951) and Mc. Donald’s Omega coefficients (McDonald, 1999). Additionally, we conducted Confirmatory Factor Analysis (CFA) for assessing the validity of newly developed five items, a brief measure of perceived academic intent to entrepreneurship by using AMOS 23.0 version. Pearson Product Moment Correlation was used to analyze interrelationship of study variables and also for the demographic correlates. Moderated mediation analysis was computed through PROCESS MACRO (Hayes, 2022).
Results
The study was designed to examine the relationship between dark triad traits, core executive functions, entrepreneurial intent, and perceived academic intent to entrepreneurship among university students in Pakistan. This section includes descriptive statistics for participants’ demographic characteristics, means, and SDs for the total scores and results of reliability analysis. Results of CFA for self-developed items assessing perceived academic intent to entrepreneurship are also illustrated. It further includes findings of moderated mediation.
We firstly present the demographic characteristics of the participants in Table 1. It included gender, age, type of degree, total monthly income (in PKR), family size, employment status, parents’ education, and occupation etc. The table shows means and standard deviations for continuous variables (age, monthly income, family size, and earning members in family), and frequencies for categorical variables (gender, type of degree, and parents’ education level and occupation). The majority of the students were enrolled in undergraduate programs (79.4% last semester) while the rest were almost equally distributed in postgraduate (MS/M.Phil) and professional degrees (Law and Pharm-D). Results revealed that there were on average seven members in a family where hardly two members earned for the whole family. Most of the students were not earning themselves (78%) while a few identified themselves as employed (22%). On the other hand, 30% respondents reported that they are dependent on their fathers and yet none of the students showed involvement in business activities.
Table 1. Socio-demographic characteristics of the study participants.
Reliability analyses and descriptive statistics
Table 2 demonstrates descriptive statistics and reliability coefficients for the scales used in the present study. Measures of Entrepreneurial Intent and Perceived Academic Intent to Entrepreneurship showed good alpha and omega reliability coefficients (> 0.75; Tavakol and Dennick, 2011; Green and Yang, 2015). Reliability estimates for Adult Executive Functioning Inventory were also adequate (> 0.70; Tavakol and Dennick, 2011; Green and Yang, 2015). The Short Dark Triad yielded somewhat lower reliability coefficients (α = 0.63, ω = 0.64), however these could be considered acceptable (Green and Yang, 2015; Ursachi et al., 2015). Moreover, the reliability coefficients of SD3 are comparable to the internal consistency reported by the original authors (Jones and Paulhus, 2014). Both skewness and kurtosis values ranged between ±0.5 depicting normal data distribution (Meyer et al., 2015).
Table 2. Descriptive statistics and reliability estimates for the study measures.
Confirmatory factor analysis
Confirmatory factor analysis (CFA) was performed using AMOS (Version 23) for Perceived Academic Intent to Entrepreneurship Scale (see, Figure 1). Findings of fit indices of CFA model are presented in Table 3 presenting the model as a perfect fit (Marsh et al., 2020).
Figure 1. Confirmatory factor analysis (CFA) for brief measure of perceived academic intent to entrepreneurship.
Table 3. Factor loadings for perceived academic intent to entrepreneurship (PAEI scale).
Factor loadings of Perceived Academic Intent to Entrepreneurship Scale and composite reliability were shown in Table 4. Factor Loadings for the PAIE ranged from 0.48 to 0.84; while the composite reliability was good (0.80). A loading value of 0.70 or higher is considered as general recommendation for ensuring better reliability of the items since the measured construct could explain 50% of the variance in the indicator used for analysis (Hair et al., 2019). In current study we set a fair item loading (>0.45) criteria for factor analyses as recommended by Tabachnick and Fidell (2007). Removal of items does not solely depend on the loadings and following the recommendation of removing the items with loading values below 0.40 (Hair et al., 2011, 2017), we retained item numbers 1 and 5 despite having relatively low factor loadings (0.48). Several researchers have used this criterion to avoid unnecessary exclusion of items without further exploration with diverse samples from the same population (especially when the newly developed scale is used for the first time); (Bardi et al., 2021). Reversed scoring item (5) could also be a reason for this poorer loading (…).
Table 4. CFA model fit indices for perceived academic intent to entrepreneurship (PAIE scale).
Common method bias
Harman’s single-factor analysis was executed to test common method bias in data. This method proposed by Harman (1976) that examines whether variations in the data are accounted for by only one variable. If a single variable accounts for more than 50% of the variance in the data, then the common method bias is present (Podsakoff et al., 2003). Results from the rotated factor matrix show seven extracted items, with the first factor having 10.37% of the total variance explained. Thus, there was no possible issue of common method bias in the data of present study.
Correlation analysis
Results of inter-correlation among study variables were presented in Table 5. Machiavellianism was positively correlated with entrepreneur intentions (r = 0.10, p < 0.05), perceived academic intent to entrepreneurship (r = 0.16, p < 0.001), working memory (r = 0.13, p < 0.01), inhibition (r = 0.10, p < 0.05) and also the overall scores on adult executive functioning inventory. Narcissism was only significantly associated with perceived academic intent to entrepreneurship (r = 0.10, p < 0.05). It yielded no significant relationship with entrepreneurial intent or any of the executive functions. A significant positive correlation was found between psychopathy and executive functions, both working memory (r = 0.19, p < 0.001), and inhibition (r = 0.27, p < 0.001). Working memory (r = 0.13, p < 0.01) and inhibition (r = 0.11, p < 0.05) were directly significantly linked with entrepreneur intentions, respectively. There was a strong positive relationship between perceived academic intent to entrepreneurship and the entrepreneur intentions. However, perceived academic intent to entrepreneurship did not significantly correlate with both of the executive functions.
Table 5. Inter-correlation among demographics and study variables (Dart personality traits, Executive functioning (Working memory, Inhibition), Entrepreneur intentions, and Perceived academic intent to entrepreneurship).
Apart from these findings the inter-correlation among demographics and study variables were also reported and only a few emerged as significant correlates. Age showed a significant negative relationship with working memory (r = −0.10, p < 0.05). Students from larger families showed greater psychopathic tendencies (r = 0.10, p < 0.05). Having greater family size was positively linked to psychopathic tendencies (r = 0.10, p < 0.05) while employment status was inversely associated with psychopathy (r = −0.10, p < 0.05). Students who were employed showed lesser psychopathic tendencies. Education was significantly positively associated with Machiavellianism (r = 0.09, p < 0.05) and showed a significant inverse relationship with working memory (r = −0.12, p < 0.05). It indicated that students of higher level of education (post graduate and professional degree programs) scored higher on Machiavellianism and lower on working memory. However, the strength of these relationships was adequate only.
Moderated mediation analysis
We executed parametric bootstrapping analyses with 5,000 bootstraps (with significance level determined at 95%; Preacher et al., 2007) for testing moderated mediation using model 14 of PROCESS macro (Hayes, 2022), assuming Perceived Academic Intent to Entrepreneurship (PAIE) as a moderator in a mediated path (b) from Machiavellianism to Entrepreneur Intentions (EI) through executive functions (EF; Table 6). Results showed that Machiavellianism initially significantly predicted entrepreneurial intentions (β = 0.18, p < 0.01; 95% C. I = 0.031, 0.318) and the executive functions (β = 0.29, p < 0.01; 95% C. I = 0.110, 0.480). Furthermore, direct effect of IV (Machiavellianism) on DV (Entrepreneur intentions) was insignificant (β = 0.001, p = ns, t = 0.008) while executive functions significantly contributed to entrepreneur intentions (β = 0.54, p < 0.001; 95% C. I = 0.315, 0.763). Findings suggested that executive function was a significant mediator between the relationship of Machiavellianism and entrepreneurial intent (Figure 2). Findings of mediated moderation analysis revealed that perceived academic intent to entrepreneurship significantly moderated the relationship between Executive Functions and Entrepreneur Intentions (β = 1.24, p < 0.001; 95% C. I = 0.869, 1.592) accounting 30% of variance. Conditional indirect effects of moderator are presented in Table 7 showing that on low and medium levels of perceived academic intent, the relationship between EF and EI was positive and significant, whereas it was insignificant on the higher end of PAIE. Significant moderated mediation index was shown in Table 8.
Table 6. Models summary for Path A and Path B.
Figure 2. Moderated mediation measurement model.
Table 7. Conditional indirect effects of X on Y.
Table 8. Index of moderated mediation analysis.
Discussion
The present study was designed to investigate the relationship between dark triad traits, core executive functions, entrepreneurial intent and perceived academic intent to entrepreneurship among university students in Pakistan. The study evaluated the mediating role of core executive functions in relationship between dark dispositions and entrepreneurial intent of university students. Moreover, perceived academic intent to entrepreneurship was also investigated for its impact on entrepreneurial intentions through executive functions and dark personality traits. The findings partially supported the primary assumptions about interrelationship among study variables. Only one of the three dark personality traits, Machiavellianism, was significantly associated with entrepreneurial intentions. However, the strength of the relationship was not promising as compared to the results from existing studies which have shown a strong direct relationship between Machiavellianism and innovative business start-up intentions (Wu et al., 2019a). People with Machiavellian tendencies are known for being more focused about their interests and are also reported as self-motivated and therefore, are more likely to engage in entrepreneurial planning and activities (Cai et al., 2021). Machiavellian orientation also stands out among the dark traits because of its non-clinical nature and more relevance to the organizational and social contexts (Fehr et al., 1992; Rogoza and Cieciuch, 2020).
For narcissism and psychopathy, some studies have reported a positive relationship between narcissism and entrepreneurial intent and behavior (Hmieleski and Lerner, 2016), while others have shown an inverse one (Wu et al., 2019b). Studies conducted in Pakistan have also supported this association (Li et al., 2020; Zia et al., 2020), however, in the present study, narcissism and psychopathy were found unrelated to entrepreneurial intentions. There is also evidence for the mixed findings on the direct link between negative dispositions and EI. Entrepreneurship could be more attractive for individuals with dark personality traits (Brownell et al., 2021), yet results may differ across diverse populations such as successful entrepreneurs, professionals, and students (Liang, 2018). Therefore, we suggest a careful interpretation of the findings.
Both Machiavellianism and Psychopathy showed significant positive relationships with working memory and inhibitory control aspects of executive functions. Machiavellianism was more strongly associated with working memory than its relationship with inhibitory control. Good working memory abilities are supportive of the integral manipulative skills and tactful nature of Machiavellian personality (Bereczkei and Birkas, 2014; Simon et al., 2015) and inhibitory control may help in regulating their controlled and self-oriented reaction to a certain context for obtaining a desirable outcome (McIlwain, 2003; Fatima and Shahid, 2020). Significant positive relationship between psychopathic tendencies and working memory, and more pronounced association with inhibitory control is however less documented. Though most of the literature in psychology supports the deficit hypothesis of executive function for individuals with psychopathic traits (Delfin et al., 2018; Pasion et al., 2018); different facets of psychopathy may be differently associated with various executive functions. While psychopathic features like social disaffection and disbelief are linked with working memory deficits, other facets like self-centeredness and antagonism may not be related to the impaired working memory. Individuals having impressiveness and manipulation as more dominating aspects of their psychopathic tendencies, are likely to learn impulse control (Lasko and Chester, 2020).
Moreover, the secondary spectrum of psychopathy is more externalizing in nature and has been frequently studied in relation to forensic and clinical settings (Sadeh and Verona, 2008). Findings of the current study with regard to the positive link between psychopathic traits and both working memory and inhibition are in line with the new yet controversial model of “successful psychopath” (Palmen et al., 2020). It is considerable to have diverse findings across forensic/non-forensic, clinical and non-clinical samples such as university students in the present study. Attention and mental focus are essential characteristics of EI (Lerner et al., 2019) so basic executive functions of working memory and inhibitory control were assumed to positively link with it. Findings of the current study strongly supported this notion as both working memory and inhibition were significantly associated with Entrepreneurial Intentions. Strength of relationship however, was slightly greater for working memory as compared to inhibition. Cognitive resources, such as metacognitions, cognitive flexibility, and cognitive load have been associated with EI by different researchers (Haynie et al., 2012; Liang et al., 2016; Jiatong et al., 2021).
Working memory capacity is the triggering factor behind higher mental abilities considered necessary for thoughtful actions (Engle and Kane, 2004) that are also reflected in entrepreneurial processes. Taking a top down approach into account for explaining EI, working memory follows the same line to facilitate goal-directed behavior (Pessoa and Ungerleider, 2004) and is likely to inspire the inhibition process simultaneously. Therefore, a similar mechanism may explain the link between inhibitory control and EI as inhibitory control enables the person to suppress the unwanted options while targeting the required ones for more suitable actions (Diamond, 2013). Thus, planning and enactment related to entrepreneurial intentions may be considered a result of both of the executive functions that further connects to cognitive flexibility. Unexpectedly, both of the core executive functions did not significantly correlate with perceived academic intent to entrepreneurship.
Perceived academic intent to entrepreneurship (PAIE) also yielded significant correlation coefficients with Machiavellianism and Narcissistic tendencies. Both of the dark triad traits are linked with pursuit of individual goal interests and goals and the selfish motive underlying these traits enhances their chance to benefit financially and professionally (Effelsberg et al., 2014; Castille et al., 2018). Kareshki (2011) also established the link between some facets of Machiavellian beliefs and goal-orientation particularly in academic settings. Their motivational, creative, and innovative capacities (Kapoor, 2015; Lebuda et al., 2021) may also facilitate them to perceive the academic content in a different way for its future economic utilities as compared to their fellows. Psychopathic propensities were found unrelated to PAIE.
Lastly, results of moderated mediation analysis showed that the influence of executive functioning skills on the relationship between Machiavellianism and entrepreneurial intent was moderated significantly by perceived academic intent to entrepreneurship. Even though PAIE was found unrelated to EF directly, interaction of both the variables affected the relationship between Machiavellianism and the effect was more pronounced and positively significant at the lower to moderate levels of PAIE. Overall executive functions (total score on AEFI) also significantly mediated the relationship between Machiavellianism and entrepreneurial intentions. It demonstrates that the impact of this manipulative trait is diminished for EI when taking working memory and inhibitory control into account. Present findings suggest using the instruments from the cognitive tool box for better understanding of entrepreneurial cognitions including intentions as suggested earlier by Baron and Ward (2004). An understanding of these underlying psychological processes may help developing strategies for nurturing entrepreneurial tendencies and outcomes through knowledge structures and individual modes of thinking.
Implications and limitations of the study
The findings of current study are valuable addition to the area of entrepreneurial intentions as it uniquely combines the vastly studied aspects (personality) to sparsely documented areas (core executive functions) and also introduces the novel dimension of perceived academic intent to entrepreneurship. This study emphasized how dark personality traits and executive functioning play a role in developing Entrepreneurial Intention among university students and proposes an important implication for subject experts, educationists, educational psychologists, and other stake holders involved in curriculum development. Learning to employ knowledge for financial outcomes among students may be cultivated through interventions that enhance executive functioning skills. Moreover, students’ negative energy based on dark dispositions can be channelized for more productive outcomes. Understanding of executive functioning profiles of individuals with greater Machiavellian tendencies may help counselors and psychologists in identifying the precise role of EFs in planning and achieving the productive and realistic goals for financial outcomes. Demographic correlates also showed promising implications especially with reference to gender and employment status. Males are more inclined to engage in EI than females while lesser psychopathic tends in employed students indicate that involvement in economic activities may suppress the negativity in individuals’ personality. Therefore, we emphasize the need to focus entrepreneurial education and activities in university students especially in female students also.
The study also had some limitations. As to sample, we have only involved three universities from Islamabad, Multan, and Faisalabad taking into account the available resources; however, future researches can involve more universities to get a bigger picture of the phenomena under study. Moreover, the sample was restricted to university students studying in the last semester of graduate, post graduate, or professional degree programs. That was also the reason for the smaller sample size. Data from students enrolled in different semesters will only help in increasing the sample size but may provide useful insights on the developmental course of entrepreneurial intention during academic life. Use of longitudinal design over cross-sectional one will further enhance the understanding of this developmental course. Students were not equally distributed across faculties (life sciences, computer sciences, basic and social sciences etc.). We considered a limited number of departments while future researchers should plan comparative studies across different faculties to identify the gaps on academic aspects of entrepreneurial processes. Reliability of SD3 was somewhat low although it was comparable to ranges yielded by this scale across cultures and populations (Jones and Paulhus, 2014). Only three dark traits were assessed in the present study, while future researchers may take sadism being fourth and more recent one into account in relation to executive functions and entrepreneurial intention.
Psychometric issues can be addressed, by using indigenously developed measures as the one developed in the current research for PAIE which yielded better psychometric properties that could be improved in future studies. Academic entrepreneurship is a complex phenomenon that can cover a diverse range of topics and populations. There is still a need for more concrete operational definition of the construct and relevant assessment tools. Maximum stakeholders should be taken into account while conducting research on its aspects. Present study was limited to students; future studies may obtain data from researchers, teachers, and entrepreneurs, administrators of the institutions, patent holders, research grant winners, and PhD scholars to compare the results and establish the links. Moreover, qualitative studies should be encouraged to gain a better comprehension of the concepts related to entrepreneurship and its psychosocial correlates.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The study was approved by the Ethics Review Committee of Government College University, Faisalabad, Pakistan. Human participants’ rights to information, willingness, confidentiality, and withdrawal were regarded, and written informed consent was obtained.
Author contributions
RK proposed the current study. RK, RA, and AZ equally contributed to designing the methodology, writing, reviewing, and finalizing the manuscript. SH and FM along with BH collected data from the field and also assisted in statistical analysis and manuscript writing. All authors contributed to the article and approved the submitted version.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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References
Abbas, M., Hayat, Q., and Raza, S. H. (2022). The impact of dark personality traits on Individual’s work performance: moderating role of organizational culture. J. Workplace Behav. 2, 1–13.
Abreu, M., and Grinevich, V. (2013). The nature of academic entrepreneurship in the UK: widening the focus on entrepreneurial activities. Res. Policy 42, 408–422. doi: 10.1016/j.respol.2012.10.005
Acs, Z., Szerb, L., and Autio, E. (2017). The global entrepreneurship index. In Global Entrepreneurship and Development Index 2016. (Cham: Springer), 19–38.
Ajzen, I. (1991). The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50, 179–211. doi: 10.1016/0749-5978(91)90020-T
Akhtar, R., Ahmetoglu, G., and Chamorro-Premuzic, T. (2013). Greed is good? Assessing the relationship between entrepreneurship and subclinical psychopathy. Personal. Individ. Differ. 54, 420–425. doi: 10.1016/j.paid.2012.10.013
Al Aïn, S., Carré, A., Fantini-Hauwel, C., Baudouin, J. Y., and Besche-Richard, C. (2013). What is the emotional core of the multidimensional Machiavellian personality trait? Front. Psychol. 4:454. doi: 10.3389/fpsyg.2013.00454
Alam, M. Z., Kousar, S., and Rehman, C. (2019). Role of entrepreneurial motivation on entrepreneurial intentions and behavior: theory of planned behavior extension on engineering students in Pakistan. J. Glob. Entrep. Res. 9, 1–20. doi: 10.1186/s40497-019-0175-1
Alberti, F., Sciascia, S., and Poli, A. (2004). “Entrepreneurship education: notes on an ongoing debate.” in Proceedings of the 14th Annual IntEnt Conference, University of Napoli Federico II, Italy, 4 (7).
Aleksandrovna, O. U. (2021). The role of dark triad personality traits in the formation of entrepreneurial intentions among students and recent graduates. Unpublished Dissertation.
Al-Ghazali, B. M., and Afsar, B. (2021). Narcissism and entrepreneurial intentions: the roles of entrepreneurial self-efficacy and environmental complexity. J. High Technol. Manag. Res. 32:100395. doi: 10.1016/j.hitech.2020.100395
Ali, B., Shah, N., and Mangi, S. (2019). Entrepreneurial intention among physical and health education students in public sector universities of Pakistan. Shield Res. J. Phys. Educ. Sports Sci. 12.
Almeida, F. (2017). Experience with entrepreneurship learning using serious games. Cypriot J. Educ. Sci. 12, 69–80. doi: 10.18844/cjes.v12i2.1939
Alves, J., and Yang, W. (2022). Cognitive mechanisms in entrepreneurship competence: its implication for open innovation. J. Open Innov. Technol. Market Complex. 8:65. doi: 10.3390/joitmc8020065
Amos, A., Oluseye, O., and Bosede, A. (2015). Influence of contextual factors on entrepreneurial intention of university students: the Nigerian experience. J. South African Bus. Res. 6, 1–13. doi: 10.5171/2015.750622
Anderson, J. C., and Gerbing, D. W. (1988). Structural equation modeling in practice: a review and recommended two-step approach. Psychol. Bull. 103, 411–423. doi: 10.1037/0033-2909.103.3.411
Anjum, T., Ramzani, S. R., Farrukh, M., Raju, V., Nazar, N., and Shahzad, I. A. (2018b). Entrepreneurial intentions of Pakistani students: the role of entrepreneurial education, creativity disposition, invention passion & passion for founding. J. Manag. Res. 10, 76–100. doi: 10.5296/jmr.v10i3.13253
Anjum, T., Ramzani, S. R., and Nazar, N. (2019). Antecedents of entrepreneurial intentions: a study of business students from universities of Pakistan. Int. J. Bus. Psychol. 1, 72–88.
Anjum, T., Ramzani, S. R., Nazar, N., Shahzad, I. A., and Salman, S. (2018a). Entrepreneurial intention: does entrepreneurial education matter in Pakistan. Int. J. Hum. Res. Stud. 8, 147–161. doi: 10.5296/ijhrs.v8i3.13213
Bajo, M. T., Gómez-Ariza, C. J., and Marful, A. (2021). Inhibitory control of information in memory across domains. Curr. Dir. Psychol. Sci. 30, 444–453. doi: 10.1177/09637214211039857
Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. J. Soc. Clin. Psychol. 4, 359–373. doi: 10.1521/jscp.1986.4.3.359
Barbosa, S. D., Gerhardt, M. W., and Kickul, J. R. (2007). The role of cognitive style and risk preference on entrepreneurial self-efficacy and entrepreneurial intentions. J. Leadersh. Org. Stud. 13, 86–104. doi: 10.1177/10717919070130041001
Bardi, L., Arnaud, C., Bagès, C., Langlois, F., and Rousseau, A. (2021). Translation and validation of a state-measure of body image satisfaction: the body image state scale. Front. Psychol. 12, 724–710. doi: 10.3389/fpsyg.2021.724710
Baron, R. A., and Ward, T. B. (2004). Expanding entrepreneurial cognition's toolbox: potential contributions from the field of cognitive science. Entrep. Theory Pract. 28, 553–573. doi: 10.1111/j.1540-6520.2004.00064.x
Bentler, P. M., and Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychol. Bull. 88, 588–606. doi: 10.1037/0033-2909.88.3.588
Bereczkei, T. (2018). Machiavellian intelligence hypothesis revisited: what evolved cognitive and social skills may underlie human manipulation. Evol. Behav. Sci. 12, 32–51. doi: 10.1037/ebs0000096
Bereczkei, T., and Birkas, B. (2014). The insightful manipulator: Machiavellians' interpersonal tactics may be linked to their superior information processing skills. Int. J. Psychol. Stud. 6, 65–70. doi: 10.5539/ijps.v6n4p65
Bergman Nutley, S., and Söderqvist, S. (2017). How is working memory training likely to influence academic performance? Current evidence and methodological considerations. Front. Psychol. 8:69. doi: 10.3389/fpsyg.2017.00069
Beugré, C. D. (2017). “A neurocognitive model of entrepreneurial opportunity,” in Intelligence, Sustainability, and Strategic Issues in Management. ed. A. Rahim (London and New York: Routledge), 17–42.
Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Sociol. Methods Res. 17, 303–316. doi: 10.1177/0049124189017003004
Brännback, M., and Carsrud, A. L. (2018). Where do we go from here? A research agenda for entrepreneurial cognitions. Res. Agenda Entrepreneur. Cogn. Intent. 1–6. doi: 10.4337/9781784716813.00005
Brown, R. (2016). Mission impossible? Entrepreneurial universities and peripheral regional innovation systems. Ind. Innov. 23, 1–17. doi: 10.1080/13662716.2016.1145575
Browne, M. W., and Cudeck, R. (1993). “Alternative ways of assessing model fit” in Testing Structural Equation Models. eds. K. A. Bollen and J. S. Long (Newbury Park, CA: Sage), 136–162.
Brownell, K. M., McMullen, J. S., and O'Boyle Jr, E. H. (2021). Fatal attraction: a systematic review and research agenda of the dark triad in entrepreneurship. J. Bus. Ventur. 36:106106. doi: 10.1016/j.jbusvent.2021.106106
Brunell, A. B., Gentry, W. A., Campbell, W. K., Hoffman, B. J., Kuhnert, K. W., and DeMarree, K. G. (2008). Leader emergence: the case of the narcissistic leader. Personal. Soc. Psychol. Bull. 34, 1663–1676. doi: 10.1177/0146167208324101
Bullough, A., Renko, M., and Myatt, T. (2014). Danger zone entrepreneurs: the importance of resilience and self–efficacy for entrepreneurial intentions. Entrep. Theory Pract. 38, 473–499. doi: 10.1111/etap.12006
Burshtein, S., and Brodie, S. (2006). “Developing a modular entrepreneurship education program: the MILK framework,” in Internationalizing Entrepreneurship Education and Training. 16th Edn. (São Paulo, Brazil: Internationalizing Entrepreneurship Education and Training), 1–14.
Byrne, B. M. (2001). Structural equation modeling with AMOS, EQS, and LISREL: comparative approaches to testing for the factorial validity of a measuring instrument. Int. J. Test. 1, 55–86. doi: 10.1207/S15327574IJT0101_4
Cai, L., Murad, M., Ashraf, S. F., and Naz, S. (2021). Impact of dark tetrad personality traits on nascent entrepreneurial behavior: the mediating role of entrepreneurial intention. Front. Bus. Res. China 15, 1–19. doi: 10.1186/s11782-021-00103-y
Campbell, D., and Campbell, C. T. (2009). Legal aspects of doing business in the Middle East 2009. Available at: lulu.com/
Cardon, M. S., and Kirk, C. P. (2015). Entrepreneurial passion as mediator of the self–efficacy to persistence relationship. Entrep. Theory Pract. 39, 1027–1050. doi: 10.1111/etap.12089
Castille, C. M., Buckner, J. E., and Thoroughgood, C. N. (2018). Prosocial citizens without a moral compass? Examining the relationship between Machiavellianism and unethical pro-organizational behavior. J. Bus. Ethics 149, 919–930. doi: 10.1007/s10551-016-3079-9
Clements, E., Stephan, U., Miozzo, M., Hellyer, P., Devonshire, J., Allesch-Tayalor, S., et al. (2021). Cognitive control in entrepreneurship: The neuroscience of producing novel action despite uncertainty. PsyArXiv [Preprint]. doi: 10.31234/osf.io/ayve7
Cristofori, I., Cohen-Zimerman, S., and Grafman, J. (2019). Executive functions. Handb. Clin. Neurol. 163, 197–219. doi: 10.1016/B978-0-12-804281-6.00011-2
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika 16, 297–334. doi: 10.1007/BF02310555
Crysel, L. C., Crosier, B. S., and Webster, G. D. (2013). The dark triad and risk behavior. Personal. Individ. Differ. 54, 35–40. doi: 10.1016/j.paid.2012.07.029
Dao, T. K., Bui, A. T., Doan, T. T. T., Dao, N. T., Le, H. H., and Le, T. T. H. (2021). Impact of academic majors on entrepreneurial intentions of Vietnamese students: an extension of the theory of planned behavior. Heliyon 7:e06381. doi: 10.1016/j.heliyon.2021.e06381
Delfin, C., Andiné, P., Hofvander, B., Billstedt, E., and Wallinius, M. (2018). Examining associations between psychopathic traits and executive functions in incarcerated violent offenders. Front. Psychol. 9:310. doi: 10.3389/fpsyt.2018.00310
Dheer, R. J., and Lenartowicz, T. (2019). Cognitive flexibility: impact on entrepreneurial intentions. J. Vocat. Behav. 115:103339. doi: 10.1016/j.jvb.2019.103339
Diamond, A. (2013). Executive functions. Annu. Rev. Psychol. 64, 135–168. doi: 10.1146/annurev-psych-113011-143750
Ding, G., and Hou, L. (2017). Relationship between narcissism and entrepreneurial intention in college students. Chin. Ment. Health J. 12, 156–161.
Djokovic, D., and Souitaris, V. (2008). Spinouts from academic institutions: a literature review with suggestions for further research. J. Technol. Transf. 33, 225–247. doi: 10.1007/s10961-006-9000-4
Do, B. R., and Dadvari, A. (2017). The influence of the dark triad on the relationship between entrepreneurial attitude orientation and entrepreneurial intention: a study among students in Taiwan university. Asia Pac. Manag. Rev. 22, 185–191. doi: 10.1016/j.apmrv.2017.07.011
Dohse, D., and Walter, S. G. (2012). Knowledge context and entrepreneurial intentions among students. Small Bus. Econ. 39, 877–895. doi: 10.1007/s11187-011-9324-9
Dutton, K. (2012). The wisdom of psychopaths. Random House 55, 532–537. doi: 10.1016/j.paid.2013.04.027
Effelsberg, D., Solga, M., and Gurt, J. (2014). Transformational leadership and follower’s unethical behavior for the benefit of the company: a two-study investigation. J. Bus. Ethics 120, 81–93. doi: 10.1007/s10551-013-1644-z
Endres, M. J., Rickert, M. E., Bogg, T., Lucas, J., and Finn, P. R. (2011). Externalizing psychopathology and behavioral disinhibition: working memory mediates signal discriminability and reinforcement moderates’ response bias in approach–avoidance learning. J. Abnorm. Psychol. 120, 336–351. doi: 10.1037/a0022501
Engle, R. W., and Kane, M. J. (2004). “Executive attention, working memory capacity, and a two-factor theory of cognitive control,” in The Psychology of Learning and Motivation: Advances in Research and Theory. Vol. 44. ed. B. H. Ross (California, USA; London, UK: Elsevier Science), 145–199.
Faghih, N., Bonyadi, E., and Sarreshtehdari, L. (2019). Global entrepreneurship capacity and entrepreneurial attitude indexing based on the global entrepreneurship monitor (GEM) dataset. In Globalization and Development. (Cham: Springer), 13–55.
Farooq, M., Idrees, M., Tariq, S., Ghulzar, F., and Anwar, H. N. (2014). Consequences of youth bulge in Pakistan. Mediterr. J. Soc. Sci. 5:2216. doi: 10.36941/mjss
Farrukh, M., Alzubi, Y., Shahzad, I. A., Waheed, A., and Kanwal, N. (2018). Entrepreneurial intentions: the role of personality traits in perspective of theory of planned behavior. Asia Pacific J. Innov. Entrepreneur. 12, 399–414. doi: 10.1108/APJIE-01-2018-0004
Farrukh, M., Khan, A. A., Khan, M. S., Ramzani, S. R., and Soladoye, B. S. A. (2017). Entrepreneurial intentions: the role of family factors, personality traits and self-efficacy. World J. Entrepreneur. Manag. Sustain. Dev. 13, 303–317. doi: 10.1108/WJEMSD-03-2017-0018
Fatima, S., and Shahid, Z. (2020). Conditional indirect relations between executive functions, emotion regulation, and Machiavellianism in young men and women. Personal. Individ. Differ. 165:110140. doi: 10.1016/j.paid.2020.110140
Fayolle, A., Liñán, F., and Moriano, J. A. (2014). Beyond entrepreneurial intentions: values and motivations in entrepreneurship. Int. Entrep. Manag. J. 10, 679–689. doi: 10.1007/s11365-014-0306-7
Fehr, B., Samsom, D., and Paulhus, D. L. (1992). “The construct of Machiavellianism: twenty years later,” in Advances in Personality Assessment. Vol. 9. eds. C. D. Spielberger and J. M. Butcher (Hillsdale, NJ: Erlbaum), 77–116.
Foster, J. D., Reidy, D. E., Misra, T. A., and Goff, J. S. (2011). Narcissism and stock market investing: correlates and consequences of cocksure investing. Personal. Individ. Differ. 50, 816–821. doi: 10.1016/j.paid.2011.01.002
Foster, J. D., Shenesey, J. W., and Goff, J. S. (2009). Why do narcissists take more risks? Testing the roles of perceived risks and benefits of risky behaviors. Personal. Individ. Differ. 47, 885–889. doi: 10.1016/j.paid.2009.07.008
Franke, N., and Lüthje, C. (2004). Entrepreneurial intentions of business students—a benchmarking study. Int. J. Innov. Technol. Manag. 1, 269–288. doi: 10.1142/S0219877004000209
Galarza, C. R., Acosta-Rodas, P., Ortiz-Granja, D., Lepe-Martínez, N., Del Valle, M., Ramos, V., et al. (2020). The role of inhibitory control in the ability to solve problems of university students El Rol Del control Inhibitorio en la Habilidad Para resolver Problemas de Estudiantes Universitarios. Rev. Ecuat. Neurol. 29, 47–52.
Goethner, M., Obschonka, M., Silbereisen, R. K., and Cantner, U. (2012). Scientists’ transition to academic entrepreneurship: economic and psychological determinants. J. Econ. Psychol. 33, 628–641. doi: 10.1016/j.joep.2011.12.002
Gollwitzer, P. M., and Bayer, U. (1999). “Deliberative versus implemental mindsets in the control of action,” in Dual-Process Theories in Social Psychology. eds. S. Chaiken and Y. Trope (New York: Guilford Press), 403–422.
Gorgievski, M. J., Stephan, U., Laguna, M., and Moriano, J. A. (2018). Predicting entrepreneurial career intentions: values and the theory of planned behavior. J. Career Assess. 26, 457–475. doi: 10.1177/1069072717714541
Green, S. B., and Yang, Y. (2015). Evaluation of dimensionality in the assessment of internal consistency reliability: coefficient alpha and omega coefficients. Educ. Meas. Issues Pract. 34, 14–20. doi: 10.1111/emip.12100
Hair, J. F. Jr., Sarstedt, M., Ringle, C. M., and Gudergan, S. P. (2017). Advanced Issues in Partial Least Squares Structural Equation Modeling. Thousand Oaks, United States: Sage Publications.
Hair, J. F., Ringle, C. M., and Sarstedt, M. (2011). PLS-SEM: indeed, a silver bullet. J. Mark. Theory Pract. 19, 139–152. doi: 10.2753/MTP1069-6679190202
Hair, J. F., Risher, J. J., Sarstedt, M., and Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. Eur. Bus. Rev. 31, 2–24. doi: 10.1108/EBR-11-2018-0203
Halbinger, M. A. (2020). The relevance of makerspaces for university-based venture development organizations. Entrep. Res. J. 10, 1–4.
Hayes, A. F. (2022). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (3rd Edn.). New York: The Guilford Press
Haynie, J. M., Shepherd, D. A., and Patzelt, H. (2012). Cognitive adaptability and an entrepreneurial task: the role of metacognitive ability and feedback. Entrep. Theory Pract. 36, 237–265. doi: 10.1111/j.1540-6520.2010.00410.x
Higher Education Commission (2020). Available at: https://www.hec.gov.pk/english/news/AnnualReports/Annual%20Report%202019-20.pdf
Hmieleski, K. M., and Lerner, D. A. (2016). The dark triad and nascent entrepreneurship: an examination of unproductive versus productive entrepreneurial motives. J. Small Bus. Manag. 54, 7–32. doi: 10.1111/jsbm.12296
Hoang, G., Luu, T. T., Le, T. T. T., and Tran, A. K. T. (2022). Dark triad traits affecting entrepreneurial intentions: the roles of opportunity recognition and locus of control. J. Bus. Ventur. Insights 17:e00310. doi: 10.1016/j.jbvi.2022.e00310
Holst, Y., and Thorell, L. B. (2018). Adult executive functioning inventory (ADEXI): validity, reliability, and relations to ADHD. Int. J. Methods Psychiatr. Res. 27:e1567. doi: 10.1002/mpr.1567
Hooper, D., Coughlan, J., and Mullen, M. R. (2008). Structural equation modeling: guidelines for determining model fit. J. Bus. Res. Methods 6, 53–60.
Hu, L. T., and Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equ. Model. Multidiscip. J. 6, 1–55. doi: 10.1080/10705519909540118
Hussain, S., and Malik, M. I. (2018). Towards nurturing the entrepreneurial intentions of neglected female business students of Pakistan through proactive personality, self-efficacy and university support factors. Asia Pacific J. Innov. Entrepreneur. 12, 363–378. doi: 10.1108/APJIE-03-2018-0015
Irfan, R., Latif, S., and Noor, N. (2022). Dark triad, risk propensity and interpersonal relationship satisfaction in clients with substance use disorder. J. Pak. Med. Assoc. 72, 444–447. doi: 10.47391/JPMA.0177
Jakobwitz, S., and Egan, V. (2006). The dark triad and normal personality traits. Personal. Individ. Differ. 40, 331–339. doi: 10.1016/j.paid.2005.07.006
Jiatong, W., Murad, M., Li, C., Gill, S. A., and Ashraf, S. F. (2021). Linking cognitive flexibility to entrepreneurial alertness and entrepreneurial intention among medical students with the moderating role of entrepreneurial self-efficacy: a second-order moderated mediation model. PLoS One 16:e0256420. doi: 10.1371/journal.pone.0256420
Jonason, P. K., and Krause, L. (2013). The emotional deficits associated with the dark triad traits: cognitive empathy, affective empathy, and alexithymia. Personal. Individ. Differ. 55, 532–537. doi: 10.1016/j.paid.2013.04.027
Jonason, P. K., and Tost, J. (2010). I just cannot control myself: the dark triad and self-control. Personal. Individ. Differ. 49, 611–615. doi: 10.1016/j.paid.2010.05.031
Jones, D. N., and Figueredo, A. J. (2013). The core of darkness: uncovering the heart of the dark triad. Eur. J. Personal. 27, 521–531. doi: 10.1002/per.1893
Jones, D. N., and Paulhus, D. L. (2009). “Machiavellianism,” in Handbook of Individual Differences in Social Behavior. eds. M. R. Leary and R. H. Hoyle (New York, USA and London UK: The Guilford Press), 93–108.
Jones, D. N., and Paulhus, D. L. (2014). Introducing the short dark triad (SD3) a brief measure of dark personality traits. Assessment 21, 28–41. doi: 10.1177/1073191113514105
Judge, T. A., Piccolo, R. F., and Kosalka, T. (2009). The bright and dark sides of leader traits: a review and theoretical extension of the leader trait paradigm. Leadersh. Q. 20, 855–875. doi: 10.1016/j.leaqua.2009.09.004
Kaplan, H. S., and Gangestad, S. W. (2005). “Life history theory and evolutionary psychology,” in The Handbook of Evolutionary Psychology. ed. D. M. Buss (Mexico: John Wiley & Sons, Inc), 68–95.
Kapoor, H. (2015). The creative side of the dark triad. Creat. Res. J. 27, 58–67. doi: 10.1080/10400419.2014.961775
Kareshki, H. (2011). Relation among machiavellianism belief and goal orientations in academic situations. Procedia Soc. Behav. Sci. 12, 414–418. doi: 10.1016/j.sbspro.2011.02.051
Karimi, S., Biemans, H. J., Lans, T., Chizari, M., Mulder, M., and Mahdei, K. N. (2013). Understanding role models and gender influences on entrepreneurial intentions among college students. Procedia Soc. Behav. Sci. 93, 204–214. doi: 10.1016/j.sbspro.2013.09.179
Karimi, S., Biemans, H. J., Lans, T., Mulder, M., and Chizari, M. (2012). The role of entrepreneurship education in developing students’ entrepreneurial intentions. SSRN [Preprint]. doi: 10.2139/ssrn.2152944
Kickul, J., Gundry, L. K., Barbosa, S. D., and Whitcanack, L. (2009). Intuition versus analysis? Testing differential models of cognitive style on entrepreneurial self–efficacy and the new venture creation process. Entrep. Theory Pract. 33, 439–453. doi: 10.1111/j.1540-6520.2009.00298.x
Kirby, D. A., and Ibrahim, N. (2011). Entrepreneurship education and the creation of an enterprise culture: provisional results from an experiment in Egypt. Int. Entrep. Manag. J. 7, 181–193. doi: 10.1007/s11365-010-0153-0
Klofsten, M., Fayolle, A., Guerrero, M., Mian, S., Urbano, D., and Wright, M. (2019). The entrepreneurial university as driver for economic growth and social change-key strategic challenges. Technol. Forecast. Soc. Chang. 141, 149–158. doi: 10.1016/j.techfore.2018.12.004
Klotz, A. C., and Neubaum, D. O. (2016). Article commentary: research on the dark side of personality traits in entrepreneurship: observations from an organizational behavior perspective. Entrep. Theory Pract. 40, 7–17. doi: 10.1111/etap.12214
Kowalski, C. M., Kwiatkowska, K., Kwiatkowska, M. M., Ponikiewska, K., Rogoza, R., and Schermer, J. A. (2018). The dark triad traits and intelligence: Machiavellians are bright, and narcissists and psychopaths are ordinary. Personal. Individ. Differ. 135, 1–6. doi: 10.1016/j.paid.2018.06.049
Krueger, N. F. (2017). “Entrepreneurial intentions are dead: Long live entrepreneurial intentions,” in Revisiting the Entrepreneurial Mind. eds. M. Brännback and A. L. Carsrud (Cham: Springer), 13–34.
Krueger, N., and Welpe, I. (2014). “Neuroentrepreneurship: What can entrepreneurship learn from neuroscience?” in Annals of Entrepreneurship Education and Pedagogy–2014. ed. M. H. Morris (Northampton, USA: Edward Elgar publishing), 60–90.
Kyndt, E., and Baert, H. (2015). Entrepreneurial competencies: assessment and predictive value for entrepreneurship. J. Vocat. Behav. 90, 13–25. doi: 10.1016/j.jvb.2015.07.002
Kyrö, P. (2018). The Conceptual Contribution of Education to Research on Entrepreneurship Education. Arresearch Agenda for Entrepreneurship Education. (Northampton, USA: Edward Elgar Publishing), 164–186.
Lasko, E. N., and Chester, D. S. (2020). What makes a successful psychopath? Longitudinal trajectories of offenders’ antisocial behavior and impulse control as a function of psychopathy. Personality Disorders: Theory, Research, and Treatment 12, 207–215. doi: 10.1037/per0000421
Lebuda, I., Figura, B., and Karwowski, M. (2021). Creativity and the dark triad: a meta-analysis. J. Res. Pers. 92:104088. doi: 10.1016/j.jrp.2021.104088
Lee, L., Wong, P. K., Der Foo, M., and Leung, A. (2011). Entrepreneurial intentions: the influence of organizational and individual factors. J. Bus. Ventur. 26, 124–136. doi: 10.1016/j.jbusvent.2009.04.003
Lerner, D. A., Verheul, I., and Thurik, R. (2019). Entrepreneurship and attention deficit/hyperactivity disorder: a large-scale study involving the clinical condition of ADHD. Small Bus. Econ. 53, 381–392. doi: 10.1007/s11187-018-0061-1
Li, C., Murad, M., Shahzad, F., Khan, M. A. S., and Ashraf, S. F. (2020). Dark tetrad personality traits and counterproductive work behavior among doctors in Pakistan. Int. J. Health Plann. Manag. 35, 1173–1192. doi: 10.1002/hpm.3025
Liang, X. (2018). A dark triad model of motivations underlying entrepreneurial decision making. Acad. Manag. Proc. 1:16038. doi: 10.5465/AMBPP.2018.16038
Liang, C. T., Lee, J. L., and Liang, C. (2016). Interaction of psychological factors in shaping entrepreneurial intention among computer and electrical engineering students. J. Entrepreneur. Manag. Innov. 11, 5–29.
Lihua, D. (2021). An extended model of the theory of planned behavior: an empirical study of entrepreneurial intention and entrepreneurial behavior in college students. Front. Psychol. 12:627818. doi: 10.3389/fpsyg.2022.627818
Liñán, F., and Chen, Y. W. (2009). Development and cross–cultural application of a specific instrument to measure entrepreneurial intentions. Entrep. Theory Pract. 33, 593–617. doi: 10.1111/j.1540-6520.2009.00318.x
López, M. B., Arán Filippetti, V., and Richaud, M. C. (2021). Adult executive functioning inventory (ADEXI): factor structure, convergent validity, and reliability of a Spanish adaptation. Appl. Neuropsychol. Adult 29, 1380–1386. doi: 10.1080/23279095.2021.1880408
Mahmood, B., Sohail, M. M., Khalid, S., and Babak, I. (2012). Gender specific barriers to female entrepreneurs in Pakistan: a study in urban areas of Pakistan. Br. J. Educ. Soc. Behav. Sci. 2, 339–352. doi: 10.9734/BJESBS/2012/2128
Marsh, H. W., Guo, J., Dicke, T., Parker, P. D., and Craven, R. G. (2020). Confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM), and set-ESEM: optimal balance between goodness of fit and parsimony. Multivar. Behav. Res. 55, 102–119. doi: 10.1080/00273171.2019.1602503
Mathews, J. (2017). Entrepreneurial leadership: a conceptual examination. IUP J. Entrepreneur. Dev. 14, 31–50.
Mathieu, C., and St-Jean, É. (2013). Entrepreneurial personality: the role of narcissism. Personal. Individ. Differ. 55, 527–531. doi: 10.1016/j.paid.2013.04.026
McIlwain, D. (2003). “Bypassing empathy: a Machiavellian theory of mind and sneaky power,” in Individual Differences in Theory of Mind: Implications for Typical and Atypical Development. eds. B. Repacholi and V. Slaughter (New York, USA: Psychology Press), 39–66.
Meydan, C. H., Basım, H. N., and Çetin, F. (2011). The effect of organizational justice perception and organizational commitment on burnout: a study in the Turkish public sector. Turk. World J. Soc. Sci. 57, 175–200.
Meyer, R. M., Gold, J. I., Beas, V. N., Young, C. M., and Kassam-Adams, N. (2015). Psychometric evaluation of the child PTSD symptom scale in Spanish and English. Child Psychiatry Hum. Dev. 46, 438–444. doi: 10.1007/s10578-014-0482-2
Miller, T. L., Grimes, M. G., McMullen, J. S., and Vogus, T. J. (2012). Venturing for others with heart and head: how compassion encourages social entrepreneurship. Acad. Manag. Rev. 37, 616–640. doi: 10.5465/amr.2010.0456
Miranda, F. J., Chamorro-Mera, A., and Rubio, S. (2017). Academic entrepreneurship in Spanish universities: an analysis of the determinants of entrepreneurial intention. Eur. Res. Manag. Bus. Econ. 23, 113–122. doi: 10.1016/j.iedeen.2017.01.001
Morgan, J., and Sisak, D. (2016). Aspiring to succeed: a model of entrepreneurship and fear of failure. J. Bus. Ventur. 31, 1–21. doi: 10.1016/j.jbusvent.2015.09.002
Mosey, S., Wright, M., and Clarysse, B. (2012). Transforming traditional university structures for the knowledge economy through multidisciplinary institutes. Camb. J. Econ. 36, 587–607. doi: 10.1093/cje/bes008
Naz, S., Li, C., Zaman, U., and Rafiq, M. (2020). Linking proactive personality and entrepreneurial intentions: a serial mediation model involving broader and specific self-efficacy. J. Open Innov. Technol. Market Complex. 6:166. doi: 10.3390/joitmc6040166
Neneh, B. N. (2019). From entrepreneurial intentions to behavior: the role of anticipated regret and proactive personality. J. Vocat. Behav. 112, 311–324. doi: 10.1016/j.jvb.2019.04.005
Newman, J., and Baskin-Sommers, A. (2011). “Early selective attention abnormalities in psychopathy: implications for self-regulation,” in Cognitive Neuroscience of Attention. 2nd Edn. ed. M. Posner (New York, NY: Guilford Press), 421–440.
O’Reilly, C. A. III, Caldwell, D. F., Chatman, J. A., and Doerr, B. (2014). The promise and problems of organizational culture: CEO personality, culture, and firm performance. Group Org. Manag. 39, 595–625. doi: 10.1177/1059601114550713
O’Boyle, E. H. Jr., Forsyth, D. R., Banks, G. C., and McDaniel, M. A. (2012). A meta-analysis of the dark triad and work behavior: a social exchange perspective. J. Appl. Psychol. 97, 557–579. doi: 10.1037/a0025679
Obschonka, M., Goethner, M., Silbereisen, R. K., and Cantner, U. (2012). Social identity and the transition to entrepreneurship: the role of group identification with workplace peers. J. Vocat. Behav. 80, 137–147. doi: 10.1016/j.jvb.2011.05.007
Obschonka, M., Silbereisen, R. K., Cantner, U., and Goethner, M. (2015). Entrepreneurial self-identity: predictors and effects within the theory of planned behavior framework. J. Bus. Psychol. 30, 773–794. doi: 10.1007/s10869-014-9385-2
Oketch, M., McCowan, T., and Schendel, R. (2014). The Impact of Tertiary Education on Development: A Rigorous Literature Review. London: IOE:
Palmen, D. G., Derksen, J. J., and Kolthoff, E. (2020). High self-control may support ‘success’ in psychopathic leadership: self-control versus impulsivity in psychopathic leadership. Aggress. Violent Behav. 50:101338. doi: 10.1016/j.avb.2019.101338
Parmentola, A., and Ferretti, M. (2018). Stages and trigger factors in the development of academic spin-offs: an explorative study in southern Italy. Eur. J. Innov. Manag. 21, 478–500. doi: 10.1108/EJIM-11-2017-0159
Pasion, R., Cruz, A. R., and Barbosa, F. (2018). Dissociable effects of psychopathic traits on executive functioning: insights from the triarchic model. Front. Psychol. 9:1713. doi: 10.3389/fpsyg.2018.01713
Paulhus, D. L., and Jones, D. N. (2015). “Measures of dark personalities,” in Measures of Personality and Social Psychological Constructs. eds. G. J. Boyle, D. H. Saklofske, and G. Matthews (UK and USA: Academic Press), 562–594.
Paulhus, D. L., and Williams, K. M. (2002). The dark triad of personality: narcissism, Machiavellianism, and psychopathy. J. Res. Pers. 36, 556–563. doi: 10.1016/S0092-6566(02)00505-6
Perkmann, M., Tartari, V., McKelvey, M., Autio, E., Broström, A., D’este, P., et al. (2013). Academic engagement and commercialisation: a review of the literature on university–industry relations. Res. Policy 42, 423–442. doi: 10.1016/j.respol.2012.09.007
Pessoa, L., and Ungerleider, L. G. (2004). “Top-down mechanisms for working memory and attentional processes,” in The Cognitive Neurosciences. ed. M. S. Gazzaniga (Bostan, USA: Boston Review), 919–930.
Pihie, Z. A. L., Bagheri, A., and Sani, Z. H. A. (2013). Knowledge of cognition and entrepreneurial intentions: implications for learning entrepreneurship in public and private universities. Procedia Soc. Behav. Sci. 97, 174–181. doi: 10.1016/j.sbspro.2013.10.219
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., and Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. J. Appl. Psychol. 88, 879–903. doi: 10.1037/0021-9010.88.5.879
Preacher, K. J., Rucker, D. D., and Hayes, A. F. (2007). Addressing moderated mediation hypotheses: theory, methods, and prescriptions. Multivar. Behav. Res. 42, 185–227. doi: 10.1080/00273170701341316
Prodan, I., and Drnovsek, M. (2010). Conceptualizing academic-entrepreneurial intentions: An empirical test. Technovation 30, 332–347. doi: 10.1016/j.technovation.2010.02.002
Rogoza, R., and Cieciuch, J. (2020). Dark triad traits and their structure: an empirical approach. Curr. Psychol. 39, 1287–1302. doi: 10.1007/s12144-018-9834-6
Rothaermel, F. T., Agung, S. D., and Jiang, L. (2007). University entrepreneurship: a taxonomy of the literature. Ind. Corp. Chang. 16, 691–791. doi: 10.1093/icc/dtm023
Sadeh, N., and Verona, E. (2008). Psychopathic personality traits associated with abnormal selective attention and impaired cognitive control. Neuropsychology 22, 669–680. doi: 10.1037/a0012692
Sánchez, J. C., Carballo, T., and Gutiérrez, A. (2011). The entrepreneur from a cognitive approach. Psicothema 23, 433–438.
Sarwar, A., Ahsan, Q., and Rafiq, N. (2021). Female entrepreneurial intentions in Pakistan: a theory of planned behavior perspective. Front. Psychol. 12:553963. doi: 10.3389/fpsyg.2021.553963
Schraw, G., and Dennison, R. S. (1994). Assessing metacognitive awareness. Contemp. Educ. Psychol. 19, 460–475. doi: 10.1006/ceps.1994.1033
Schumacker, R. E., and Lomax, R. G. (2004). A Beginner's Guide to Structural Equation Modeling. New Jersey, London: Psychology press.
Segal, G., Borgia, D., and Schoenfeld, J. (2005). The motivation to become an entrepreneur. Int. J. Entrep. Behav. Res. 11, 42–57. doi: 10.1108/13552550510580834
Sherman, R. A., Nave, C. S., and Funder, D. C. (2013). Situational construal is related to personality and gender. J. Res. Pers. 47, 1–14. doi: 10.1016/j.jrp.2012.10.008
Simon, M., Houghton, S. M., and Aquino, K. (2000). Cognitive biases, risk perception, and venture formation: how individuals decide to start companies. J. Bus. Ventur. 15, 113–134. doi: 10.1016/S0883-9026(98)00003-2
Simon, I., Williams, T., Wolfe, M., and Hessler, J. (2015). I can’t remember: the effects of Machiavellianism, mental effort and lying on memory. Available at: https://scholarworks.gvsu.edu/sss/137/
Smith, E. E., and Kosslyn, S. M. (2013). Cognitive Psychology: Pearson New International Edition PDF eBook: Mind and Brain. New York, USA and London, UK: Pearson Higher Ed.
Stark, O. (2004). Rethinking the brain drain. World Dev. 32, 15–22. doi: 10.1016/j.worlddev.2003.06.013
Striukova, L., and Rayna, T. (2015). University-industry knowledge exchange: an exploratory study of open innovation in UK universities. Eur. J. Innov. Manag. 18, 471–492. doi: 10.1108/EJIM-10-2013-0098
Tabachnick, B. G., and Fidell, L. S. (2007). Using Multivariate Statistics. New York: Allyn and Bacon.
Tanveer, M. A., Shafique, O., Akbar, S., and Rizvi, S. (2013). Intention of business graduate and undergraduate to become entrepreneur: a study from Pakistan. J. Basic Appl. Sci. Res. 3, 718–725.
Tavakol, M., and Dennick, R. (2011). Making sense of Cronbach's alpha. Int. J. Med. Educ. 2, 53–55. doi: 10.5116/ijme.4dfb.8dfd
Treffers, T. (2017). “A few words about neuroexperimental designs for the study of emotions and cognitions in entrepreneurship,” in Handbook of Research Methodologies and Design in Neuroentrepreneurship. (Northampton, USA: Edward Elgar Publishing), 246–258.
Tucker, R. L., Lowman, G. H., and Marino, L. D. (2016). Dark Triad Traits and the Entrepreneurial Process: A Person-Entrepreneurship Perspective, Research in Personnel and Human Resources Management Research in Personnel and Human Resources Management 34), Bingley: Emerald Group Publishing Limited, 245–290.
Ursachi, G., Horodnic, I. A., and Zait, A. (2015). How reliable are measurement scales? External factors with indirect influence on reliability estimators. Proc. Econom. Fin. 20, 679–686. doi: 10.1016/S2212-5671(15)00123-9
Walker, B. R., Jackson, C. J., and Sovereign, G. (2020). Disinhibition predicts both psychopathy and entrepreneurial intentions. J. Bus. Ventur. Insights 14:e00208. doi: 10.1016/j.jbvi.2020.e00208
Wang, Z., He, Q., Xia, S., Sarpong, D., Xiong, A., and Maas, G. (2020). Capacities of business incubator and regional innovation performance. Technol. Forecast. Soc. Chang. 95:104146. doi: 10.1016/j.jrp.2021.104146
Welsh, E. C. O., and Lenzenweger, M. F. (2021). Psychopathy, charisma, and success: a moderation modeling approach to successful psychopathy. J. Res. Pers. 95:104146. doi: 10.1016/j.jrp.2021.104146
Wheaton, B., Muthen, B., Alwin, D. F., and Summers, G. F. (1977). Assessing reliability and stability in panel models. Sociol. Methodol. 8, 84–136. doi: 10.2307/270754
Wolinsky, F. D., Vander Weg, M. W., Martin, R., Unverzagt, F. W., Willis, S. L., Marsiske, M., et al. (2010). Does cognitive training improve internal locus of control among older adults? J. Gerontol. B Psychol. Sci. Soc. Sci. 65, 591–598. doi: 10.1093/geronb/gbp117
Wu, W., Wang, H., Lee, H. Y., Lin, Y. T., and Guo, F. (2019a). How machiavellianism, psychopathy, and narcissism affect sustainable entrepreneurial orientation: the moderating effect of psychological resilience. Front. Psychol. 10:779. doi: 10.3389/fpsyg.2019.00779
Wu, W., Wang, H., Zheng, C., and Wu, Y. J. (2019b). Effect of narcissism, psychopathy, and machiavellianism on entrepreneurial intention—the mediating of entrepreneurial self-efficacy. Front. Psychol. 10:360. doi: 10.3389/fpsyg.2019.00360
Yılmaz, V., and VeÇelik, H. E. (2009). LISREL ile yapısal eşitlik modellemesi—I: Temel kavramlar, uygulamalar, programlama. Ankara: Pegem Akademi
Zettler, I., Friedrich, N., and Hilbig, B. E. (2011). Dissecting work commitment: The role of Machiavellianism. Career Dev. Int. 16, 20–35. doi: 10.1108/13620431111107793
Zhang, S., Han, C., and Chen, C. (2022). Repeated partnerships in university-industry collaboration portfolios and firm innovation performance: roles of absorptive capacity and political connections. R&D Manag. doi: 10.1111/radm.12524 [Epub ahead of print].
Zhao, Y., and Xie, B. (2020). Cognitive bias, entrepreneurial emotion, and entrepreneurship intention. Front. Psychol. 11:625. doi: 10.3389/fpsyg.2020.00625
Zheng, W., Wu, Y. C. J., Chen, X., and Lin, S. J. (2017). Why do employees have counterproductive work behavior? The role of founder’s Machiavellianism and the corporate culture in China. Manag. Decis. 55, 563–578. doi: 10.1108/MD-10-2016-0696
Zia, S., Murad, M., Syed, N., Akhtar, S., and Omhand, K. (2020). An attitude approach to the prediction of entrepreneurial intention among students: mediating role of dark triad. Manag. Lett. 1, 22–38.
Keywords: entrepreneurial intentions, executive functions, dark personality traits, academic intent to entrepreneurship, mediation analysis
Citation: Khawar R, Amin R, Zulfqar A, Hussain S, Hussain B and Muqaddas F (2022) Dark personality traits and entrepreneurial intentions among Pakistani university students: The role of executive functions and academic intent to entrepreneurship. Front. Psychol. 13:989775. doi: 10.3389/fpsyg.2022.989775
Edited by:
Muhammad Nawaz Tunio, Mohammad Ali Jinnah University, PakistanReviewed by:
Majid Murad, Jiangsu University, ChinaEmilia Herman, George Emil Palade University of Medicine, Pharmacy, Sciences, and Technology of Târgu Mureş, Romania
Copyright © 2022 Khawar, Amin, Zulfqar, Hussain, Hussain and Muqaddas. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Asia Zulfqar, YXNpYS5adWxmcWFyQGJ6dS5lZHUucGs=