Interest in entrepreneurial role models predicts the entrepreneurial intentions of Chinese rural college students

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Juan Du

Cite this article:  Du, J. (2024). Interest in entrepreneurial role models predicts the entrepreneurial intentions of Chinese rural college students. Social Behavior and Personality: An international journal, 52(11), e13607.


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Entrepreneurial role models play an important part in the emergence of entrepreneurial intentions. Informed by social learning theory, I investigated the relationship between one’s interest in entrepreneurial role models and one’s own entrepreneurial intentions, considering the potential mediating role of entrepreneurial self-efficacy and moderating role of proactive personality. Participants were 494 rural college students in China. The results showed that interest in distant entrepreneurial role models predicted entrepreneurial intentions, and entrepreneurial self-efficacy mediated the relationship between interest in distant entrepreneurial role models and entrepreneurial intentions. Interest in close entrepreneurial role models also predicted entrepreneurial intentions, but this relationship was not significantly mediated by entrepreneurial self-efficacy. Proactive personality moderated the impact of entrepreneurial self-efficacy on entrepreneurial intentions, such that a more proactive personality was associated with a stronger positive relationship between entrepreneurial self-efficacy and entrepreneurial intentions. These results reveal possible approaches for encouraging the entrepreneurial intentions of rural college students.

Article Highlights

  • Interest in distant entrepreneurial role models significantly predicted rural college students’ entrepreneurial self-efficacy, whereas interest in close entrepreneurial role models did not.
  • Entrepreneurial self-efficacy mediated the relationship between interest in distant entrepreneurial role models and entrepreneurial intentions.
  • Proactive personality moderated the relationship between entrepreneurial self-efficacy and entrepreneurial intentions.

As China’s rural revitalization strategy gains momentum, people are increasingly returning to their hometowns to start businesses (Zhuang & Liu, 2024). Scholars have studied the entrepreneurial intentions of this group from sociological, economical, and managerial perspectives (C. J. Chen & Yang, 2022). However, most of the research has focused on migrant workers, and there has been limited attention given to rural college students (W. Wang & Xiang, 2023). Studies have examined the entrepreneurial intentions of college students with respect to personal traits (Zhu & Zhang, 2014), policy environments such as entrepreneurship policies (Park et al., 2015), entrepreneurial environments (Sesen, 2013), and educational backgrounds such as entrepreneurship education (Yu, 2023). Recently, scholars have also started to consider the role of imitative entrepreneurial behavior in the entrepreneurship of college students. Entrepreneurial role models play an important external role in triggering college students’ entrepreneurial intentions (C. J. Chen & Yang, 2022). Bosma et al. (2012) found that 81% of entrepreneurs had a role model before starting a business, and that one-third of these entrepreneurial testimonials claimed that they would not have chosen to start a business if they did not have a role model. Such studies suggest that entrepreneurial decisions are often influenced by entrepreneurial role models (Z. L. Wang & Xue, 2020). Many previous studies have considered family members (Laspita et al., 2012) and coworkers (Nanda & Sørensen, 2010) as entrepreneurial role models. Recently, noncontact role models, such as well-known entrepreneurs who have social influence and a wide reach on social media, have also been considered (X. D. Xie, 2019). Therefore, this study investigated the effects of different types of entrepreneurial role models on the entrepreneurial intentions of Chinese rural college students.

While external factors that promote entrepreneurship can create favorable environments for people to start businesses in their hometowns, the success of such efforts is ultimately dependent on the self-efficacy of the entrepreneurs themselves (Long & Tian, 2023). In other words, their belief in their ability to succeed plays a crucial role in the realization of their entrepreneurial intentions (Yu, 2023). It is worth exploring how interest in different types of entrepreneurial role models affects the entrepreneurial self-efficacy and intentions of rural college students. Informed by social learning theory, this study established a research model of the underlying mechanisms and boundary conditions of the relationships between interest in different types of entrepreneurial role models and entrepreneurial intentions.

Entrepreneurial Role Models and Entrepreneurial Self-Efficacy

Role models refer to individuals who play attractive and central social roles in society, setting examples for others to follow (Bell, 1970). Role identity theory suggests that identifying with or comparing themselves to role models can help individuals determine their own sense of self (Akerlof & Kranton, 2000). Individuals are thus attracted to role models whom they perceive to be similar to themselves in terms of traits, behavioral patterns, and behavioral styles, as well as individual career choices (e.g., entrepreneurship; Krumboltz et al., 1976). Just as Intel founder Andy Grove was considered a spiritual mentor by entrepreneurs such as Steve Jobs, many entrepreneurs have claimed that their entrepreneurial behavior was influenced by celebrities such as Steve Jobs, as well as closer connections such as family members (Bosma et al., 2012). Therefore, this study categorized entrepreneurial role models into two types based on the distance and frequency of contact between them and the potential entrepreneurs (X. D. Xie, 2019): Close entrepreneurial role models are those who have direct and frequent interactions with the potential entrepreneur (which often involves being a familiar figure around them), while distant entrepreneurial role models are those who do not interact with the potential entrepreneur but have a high level of visibility and social influence (e.g., well-known entrepreneurs, historical entrepreneurial figures, and successful fictional entrepreneurs from film and television) and model attributes for the potential entrepreneur. Some scholars have suggested that fictional entrepreneurs provide real-life entrepreneurs with information about their image and about entrepreneurship, which is essentially no different to that obtained from real entrepreneurs (X. D. Xie, 2019). Therefore, fictional entrepreneurs can also be distant entrepreneurial role models.
 
Entrepreneurial self-efficacy is an individual’s perception of their intrinsic self-confidence and competence in being able to accomplish entrepreneurial tasks (C. C. Chen et al., 1998). Social learning theory suggests that individuals form alternative experiences, change self-perceptions, and gain confidence through observational learning from role models (Bandura, 1977). During the entrepreneurial process, potential entrepreneurs usually look for role models who are similar to themselves and aim to increase their similarity to these role models through imitation (Gibson, 2004). When the learning object is a close entrepreneurial role model with whom the individual has a personal or work-based relationship, the proximity of the role model can gain the attention of the learner and promote the thought that “If they can do it, I can do it,” through which the learner becomes more confident and believes that they are also capable of achieving their goals (Wyrwich et al., 2016). Relying on social media coverage of the success stories and business thinking of distant entrepreneurial role models (e.g., famous entrepreneurs), the group approval of distant entrepreneurial role models can also trigger an individual’s attention and encourage them to make certain decisions and achieve certain goals (Basow & Howe, 1980). Therefore, I proposed the following hypotheses:
Hypothesis 1a: Interest in distant entrepreneurial role models will positively predict entrepreneurial self-efficacy.
Hypothesis 1b: Interest in close entrepreneurial role models will positively predict entrepreneurial self-efficacy.

Entrepreneurial Self-Efficacy and Entrepreneurial Intentions

Entrepreneurial self-efficacy is an important factor that influences entrepreneurial intentions (Krueger et al., 2000). Self-efficacy is related to self-confidence, will, and persistence, and individuals with a high sense of efficacy may prefer challenging tasks (Bandura & Cervone, 1986). In line with this view, J. H. Wang et al. (2016) stated that individuals with high entrepreneurial self-efficacy tend to believe that they can effect change and control their thoughts and behaviors. These individuals believe in their ability to cope with difficulties and challenges, and to successfully create new ventures (Piperopoulos & Dimov, 2015). Liñán et al. (2011) found consistent positive correlations between entrepreneurial self-efficacy and entrepreneurial intentions across different cultural contexts. Therefore, I proposed the following hypothesis:
Hypothesis 2: Entrepreneurial self-efficacy will positively predict entrepreneurial intentions.

Interest in Entrepreneurial Role Models and Entrepreneurial Intentions

Individual entrepreneurial choices are influenced by entrepreneurial role models (Dyer & Handler, 1994). Social learning theory recognizes observational learning from others as an important form of individual learning (Bandura & Walters, 1977). Potential entrepreneurs reduce the costs of trial and error in the entrepreneurial process by emulating entrepreneurial role models, thereby increasing the feasibility of entrepreneurship (Scherer et al. 1989). A cross-national study found that close entrepreneurial role models (i.e., parents, grandparents, relatives, friends, classmates, and coworkers) enhance students’ entrepreneurial intentions (Laspita et al., 2012). In addition, Laviolette et al. (2012) stated that when potential entrepreneurs learn about what distant entrepreneurial role models (e.g., well-known entrepreneurs) have done and how they have succeeded, it creates a sense of identification with their personal or professional experiences. This motivates the potential entrepreneurs to develop strong entrepreneurial intentions. Therefore, I proposed the following hypotheses:
Hypothesis 3a: Interest in distant entrepreneurial role models will positively predict entrepreneurial intentions.
Hypothesis 3b: Interest in close entrepreneurial role models will positively predict entrepreneurial intentions.

The Mediating Role of Entrepreneurial Self-Efficacy

Entrepreneurial role models can provide motivation and incentives to potential entrepreneurs, as well as help them develop their self-concept (Gibson, 2004). Potential entrepreneurs’ exposure to or observation of close entrepreneurial role models is effective in facilitating experience acquisition and enhancing entrepreneurial self-efficacy. The motivational function of distant entrepreneurial role models has also been confirmed in a qualitative study that found entrepreneurs’ entrepreneurial confidence is often influenced by other entrepreneurs, including famous ones (Bosma et al., 2012). Entrepreneurial self-efficacy influences an individual’s intention to engage in entrepreneurial activity, with increased self-efficacy being an important motivator for the persistence of these intentions (Yu, 2023). Interest in entrepreneurial role models can improve an individual’s perception of entrepreneurial feasibility and strengthen their belief that entrepreneurship is controllable, which, in turn, generates stronger entrepreneurial intentions (Nowiński & Haddoud, 2019). It has been logically argued that interest in entrepreneurial role models can stimulate an individual’s entrepreneurial confidence and enhance their intentions (Van Auken et al., 2006). Therefore, I proposed the following hypotheses:
Hypothesis 4a: Entrepreneurial self-efficacy will mediate the relationship between interest in distant entrepreneurial role models and entrepreneurial intentions.
Hypothesis 4b: Entrepreneurial self-efficacy will mediate the relationship between interest in close entrepreneurial role models and entrepreneurial intentions.

The Moderating Effect of Proactive Personality

Proactive personality refers to an individual’s tendency to act proactively to change their external environment without being constrained by situational resistance (Bateman & Crant, 1993). This can effectively predict an individual’s entrepreneurial intentions (Baum et al., 2001). Individuals with a more proactive personality usually show strong autonomy and primacy (Zhang et al., 2017). Entrepreneurial self-efficacy also plays a key role in an individual’s entrepreneurial intentions (Miao et al., 2017). Individuals with different levels of proactive personality may differ in the extent to which their entrepreneurial self-efficacy affects their entrepreneurial intentions. Individuals with more proactive personalities tend to proactively seek opportunities and make connections, and thus have the possibility of acquiring more entrepreneurial resources to strengthen their self-efficacy (Ma et al., 2021), which, in turn, enhances their entrepreneurial intentions. In contrast, those with less proactive personalities tend to passively adapt to the environment (J. Xie & Yan, 2016), making it difficult to obtain resources that are beneficial to entrepreneurship (J. Wang, 2023) and potentially weakening their confidence in implementing entrepreneurship (Liu et al., 2016), thus decreasing entrepreneurial intentions. From this, it can be inferred that a highly proactive personality may enhance the effect of entrepreneurial self-efficacy on entrepreneurial intention, while a less proactive personality may weaken the effect of entrepreneurial self-efficacy on entrepreneurial intention. Therefore, I proposed the following hypothesis:
Hypothesis 5: Proactive personality will play a moderating role in the relationship between entrepreneurial self-efficacy and entrepreneurial intentions, such that the relationship will be stronger among individuals with highly proactive personalities than among those with less proactive personalities.
 
My theoretical model is shown in Figure 1.
 

Table/Figure

Figure 1. Theoretical Model

Method

Participants and Procedure

Participants were rural college students from six public universities in Taiyuan, Shanxi Province, China. As of 2023, there were 76,890 students in these universities. Jackson (2003) proposed that the ratio of the estimated parameter to sample size should be 1:20 under maximum likelihood estimation. If the ratio is less than 1:5, the result is not credible. Hence, I distributed 550 questionnaires using stratified random sampling. I acquired the consent of university committees and the individual participants. After screening the returned surveys by removing incomplete ones and those with all the same answers, I obtained 494 valid questionnaires. Of the participants, 47.97% were men and 52.03% were women. The participants were freshmen (13.0%), sophomores (33.4%), juniors (28.7%), and seniors (24.9%) from various majors (business and nonbusiness). It is worth noting that entrepreneurs can be found in any field. In some nonbusiness majors, more than half of the students have entrepreneurial intentions (Frazier & Niehm, 2006).

Measures

Interest in Entrepreneurial Role Models

I measured interest in entrepreneurial role models using a seven-item scale developed by X. D. Xie (2019). Three items are used to measure interest in close entrepreneurial role models (e.g., “I am interested in the entrepreneurial stories of entrepreneurs I know”). Four items are used to measure interest in distant entrepreneurial role models (e.g., “I am interested in learning about entrepreneurial celebrities through the media”). The items are rated on a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree).
 

Entrepreneurial Self-Efficacy

I assessed entrepreneurial self-efficacy with a four-item scale developed by Zhao et al. (2005). Respondents rate their level of confidence in successfully identifying new business opportunities, creating new products or services, thinking creatively, and commercializing ideas on a 5-point Likert scale (1 = not very confident, 5 = very confident).
 

Proactive Personality

I measured proactive personality with an 11-item scale developed by Shang and Gan (2009). A sample item is “I like to challenge the status quo.” Participants respond to the items on a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree).
 

Entrepreneurial Intentions

I measured entrepreneurial intentions with a six-item scale developed by Liñán and Chen (2009). A sample item is “I already have strong intentions to start a business.” The items are rated on a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree).

Data Analysis

I used SPSS 26.0 and Amos 23.0 for common method bias analysis, reliability and validity tests, mediation effect tests, and moderation effect tests.

Results

Common Method Bias

To evaluate the potential for common method bias, Harman’s one-factor test (Harman, 1967) was applied. The results showed that the cumulative variance explained by the first factor was 28.17%, which did not exceed the 40% threshold (Podsakoff et al., 2003). Therefore, common method bias was not considered to be of concern in this study.

Reliability and Validity

Reliability was assessed using Cronbach’s alpha and composite reliability, while convergent validity was assessed using average variance extracted, and discriminant validity was assessed using the Fornell–Larcker criterion. The results are shown in Table 1. For the five main constructs, Cronbach’s alpha values and composite reliability values all exceeded the critical value of .70 for goodness of fit (Nunnally, 1978). The average variance extracted values all exceeded the acceptable threshold of .50, indicating that the convergent validity was acceptable for all variables (Henseler et al., 2009). With respect to discriminant validity, the square roots of the average variance extracted values for all constructs in the model were greater than the corresponding interconceptual correlations (see Table 2), indicating good discriminant validity among the constructs (Fornell & Larcker, 1981).

Table 1. Reliability and Validity of the Scales

Table/Figure

Note. CR = composite reliability; AVE = average variance extracted; DERM = interest in distant entrepreneurial role models; CERM = interest in close entrepreneurial role models; ESE = entrepreneurial self-efficacy; PP = proactive personality; EI = entrepreneurial intentions.

Table 2. Correlations and Discriminant Validity

Table/Figure
Note. Square roots of average variance extracted values are in boldface on the diagonal. DERM = interest in distant entrepreneurial role models; CERM = interest in close entrepreneurial role models; EI = entrepreneurial intentions; ESE = entrepreneurial self-efficacy; PP = proactive personality.
** p < .01.

Structural Equation Modeling

The structural equation model was constructed using Amos 23.0 and tested by the maximum likelihood method. The results are shown in Table 3, with the fit indices of the model all meeting the requirements (Wu, 2009).

Table 3. Model Fit Indices, Criteria, and Results

Table/Figure

Note. RMSEA = root-mean-square error of approximation; TLI = Tucker–Lewis index; CFI = comparative fit index; NFI = normed fit index; GFI = goodness-of-fit index.

Main Effects

I used Amos 23.0 to construct structural equation models of interest in distant and close entrepreneurial role models, entrepreneurial self-efficacy, and entrepreneurial intentions. The results of the path analysis are shown in Table 4. Interest in distant entrepreneurial role models positively predicted entrepreneurial self-efficacy, supporting Hypothesis 1a. In contrast, interest in close entrepreneurial role models did not significantly predict entrepreneurial self-efficacy, so Hypothesis 1b was not supported. Entrepreneurial self-efficacy was a positive predictor of entrepreneurial intentions, supporting Hypothesis 2. Interest in both distant and close entrepreneurial role models positively predicted entrepreneurial intentions, supporting Hypotheses 3a and 3b.

Table 4. Parameter Estimates for Model

Table/Figure

Note. DERM = interest in distant entrepreneurial role models; ESE = entrepreneurial self-efficacy; CERM = interest in close entrepreneurial role models; EI = entrepreneurial intentions.

Mediation Effects

I used the bootstrapping method (5,000 repeated samples) to test the significance of the mediation effects (Preacher & Hayes, 2004). This method estimates the 95% confidence interval of the mediation effect, based on the characteristics of the sample distribution. When the confidence interval of the indirect effect does not include zero, the mediation effect is considered significant. The results are shown in Table 5. The indirect effect of interest in distant entrepreneurial role models on entrepreneurial intentions via entrepreneurial self-efficacy was significant, supporting Hypothesis 4a. Conversely, the indirect effect of interest in close entrepreneurial role models on entrepreneurial intentions via entrepreneurial self-efficacy was not significant, and Hypothesis 4b was not supported.

Table 5. Results of Mediation Effect Testing

Table/Figure
Note. DERM = interest in distant entrepreneurial role models; CERM = interest in close entrepreneurial role models; ESE = entrepreneurial self-efficacy; EI = entrepreneurial intentions; CI = confidence interval; LL = lower level; UL = upper limit.

Moderation Effect

After mean-centering entrepreneurial self-efficacy and proactive personality, we tested the moderating effect of proactive personality by constructing an interaction term. The interaction term (Model 3 in Table 6) had a significant effect on entrepreneurial intentions, indicating that proactive personality positively moderated the relationship between entrepreneurial self-efficacy and entrepreneurial intentions. Thus, Hypothesis 5 was supported. Therefore, I plotted the effect of entrepreneurial self-efficacy on entrepreneurial intentions at different levels of proactive personality, using M ± 1 SD as a grouping criterion (see Figure 2).

Table 6. Results of Moderation Effect Testing: Predicting Entrepreneurial Intentions

Table/Figure
Note. ESE = entrepreneurial self-efficacy; PP = proactive personality.
* p < .05. ** p < .01.
Table/Figure
Figure 2. Moderating Effect of Proactive Personality in Relationship Between Entrepreneurial Self-Efficacy and Entrepreneurial Intentions

Discussion


Informed by social learning theory, I investigated the effects of interest in distant entrepreneurial role models and interest in close entrepreneurial role models on rural college students’ entrepreneurial self-efficacy and entrepreneurial intentions. I also examined the moderating role of proactive personality in the relationship between entrepreneurial self-efficacy and entrepreneurial intentions. I found that interest in each type of entrepreneurial role model significantly predicted entrepreneurial intentions. Interest in distant entrepreneurial role models significantly predicted rural college students’ entrepreneurial self-efficacy, whereas interest in close entrepreneurial role models did not. Further, entrepreneurial self-efficacy mediated the relationship between interest in distant entrepreneurial role models and entrepreneurial intentions, and proactive personality moderated the relationship between entrepreneurial self-efficacy and entrepreneurial intentions.

Theoretical Contributions

The study contributes to the literature in several ways. First, it expands social learning theory research on entrepreneurial role models by focusing on distant and close entrepreneurial role models and analyzing the relationships of both with the entrepreneurial self-efficacy of rural college students. My findings provide a more comprehensive understanding of the factors influencing rural college students’ entrepreneurial intentions. Second, this study proposed a classification of close and distant entrepreneurial role models based on the distance and frequency of contact between them and potential entrepreneurs, as well as expanding the scope of distant entrepreneurial role models to include historical and fictional entrepreneurs. China’s regional entrepreneurial activities are strong in the East and weak in the West, and there are significant entrepreneurial differences between regions (Yang et al., 2021). Therefore, it can be difficult for potential entrepreneurs to find suitable proximate entrepreneurial role models (Minniti, 2005). My categorization suggests the imbalance of entrepreneurship across different regions can be overcome by rural college students selecting multiple types of distant entrepreneurial role models and developing role identification with them, thus enhancing the students’ willingness to return home to start their own businesses. Third, I found that interest in distant entrepreneurial role models positively predicted entrepreneurial self-efficacy, while interest in close entrepreneurial role models did not. These results differ from those found by Zapkau et al. (2015). Because of the uneven distribution of entrepreneurship at the regional level and regional differences in entrepreneurship levels (Sternberg, 2009), entrepreneurs are more likely to find suitable close entrepreneurial role models in regions with high entrepreneurship, helping them to realize their entrepreneurial intentions (Minniti, 2005). Finally, my study has replicated previous research on the mediating role of entrepreneurial self-efficacy in the relationship between interest in entrepreneurial role models and entrepreneurial intentions, generalizing the findings of Naktiyok et al. (2010) to a broader sample.

Practical Implications

Practical insights from this study include the need to pay attention to the entrepreneurship of rural college students and the important role of entrepreneurial role models in their entrepreneurial choices. From the perspective of policymaking, first, it is necessary to improve the support policies for college students returning to their hometowns to start their own businesses, optimize the business environment, and simplify procedures. Actions such as these may help attract college students from rural areas back to their hometowns to start enterprises. Building an entrepreneurial exchange platform and inviting local successful entrepreneurs to share their entrepreneurial experience will give potential entrepreneurs the opportunity to establish connections with local role models. Second, I recommend using the media to publicize the stories of entrepreneurs or produce relevant films and literature for the public. This may encourage potential entrepreneurs to identify with remote entrepreneurs, thus stimulating their entrepreneurial intentions. The government should also strengthen the cultivation and publicity of entrepreneurial role models, guide entrepreneurial role models to assume social responsibility, and encourage entrepreneurs to act as role models, inspiring future entrepreneurs and enhancing their entrepreneurial confidence. Local entrepreneurs should be encouraged to help budding entrepreneurs solve the practical difficulties they face in preparing for entrepreneurship.

Limitations and Future Research Directions

This study has several limitations. First, the sample was not diverse, as all data were drawn from Shanxi Province in China. Future studies could collect data from different provinces or countries to enhance the diversity of the samples and improve the generalizability of the results. Second, although there was no concerning common method bias in the study, the predictor and criterion variables were obtained from the same rater, which can interfere with results. Future research could temporally separate the predictor and criterion variable measures. Third, although the results of this study indicate that entrepreneurial self-efficacy was an important mediating variable in the relationship between interest in distant entrepreneurial role models and entrepreneurial intentions, there may be other mechanisms of transmission between the two variables, such as entrepreneurial passion, attitudes, and opportunity identification, which will be studied in the future.

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Table/Figure

Figure 1. Theoretical Model


Table 1. Reliability and Validity of the Scales

Table/Figure

Note. CR = composite reliability; AVE = average variance extracted; DERM = interest in distant entrepreneurial role models; CERM = interest in close entrepreneurial role models; ESE = entrepreneurial self-efficacy; PP = proactive personality; EI = entrepreneurial intentions.


Table 2. Correlations and Discriminant Validity

Table/Figure
Note. Square roots of average variance extracted values are in boldface on the diagonal. DERM = interest in distant entrepreneurial role models; CERM = interest in close entrepreneurial role models; EI = entrepreneurial intentions; ESE = entrepreneurial self-efficacy; PP = proactive personality.
** p < .01.

Table 3. Model Fit Indices, Criteria, and Results

Table/Figure

Note. RMSEA = root-mean-square error of approximation; TLI = Tucker–Lewis index; CFI = comparative fit index; NFI = normed fit index; GFI = goodness-of-fit index.


Table 4. Parameter Estimates for Model

Table/Figure

Note. DERM = interest in distant entrepreneurial role models; ESE = entrepreneurial self-efficacy; CERM = interest in close entrepreneurial role models; EI = entrepreneurial intentions.


Table 5. Results of Mediation Effect Testing

Table/Figure
Note. DERM = interest in distant entrepreneurial role models; CERM = interest in close entrepreneurial role models; ESE = entrepreneurial self-efficacy; EI = entrepreneurial intentions; CI = confidence interval; LL = lower level; UL = upper limit.

Table 6. Results of Moderation Effect Testing: Predicting Entrepreneurial Intentions

Table/Figure
Note. ESE = entrepreneurial self-efficacy; PP = proactive personality.
* p < .05. ** p < .01.

Table/Figure
Figure 2. Moderating Effect of Proactive Personality in Relationship Between Entrepreneurial Self-Efficacy and Entrepreneurial Intentions

This research was funded by the Taiyuan Institute of Technology via the Scientific Research Initial Funding (2023KJ049) and the Shanxi Province Human Resource High Quality Development Major Transformation Research Project (SXRLZY2014135).

The author thanks Min Zhang for proofreading this article.

The data that support the findings of this study are available on request from the author.

Juan Du, Taiyuan Institute of Technology, No. 31 Xinlan Road, Taiyuan, Shanxi Province 030008, People’s Republic of China. Email: [email protected]

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