Results
Table
1 reports the demographic and professional characteristics of the sample. The result showed that 35.71% of the dentist respondents have EI. About 70.83% of the respondents were female. More than three fourths of the respondents were less than 35 years old and only 11.01% were aged 46 years or more. As for educational level, nearly half of the dentists only have an associate or bachelor’s degree and only 10.71% of them have a doctoral degree. The respondents in the sample hold various professional positions and work experience groups are well represented. Among all public hospitals in this sample, 72.02% of them are the major ones with more than 200 employees. About 78% of the respondents reported to have family members or relatives running or owning dental clinics.
Table 1
Demographic and professional characteristics of the respondents (N = 336)
Entrepreneurial intention | |
Yes | 120 (35.71) |
No | 216 (64.29) |
Gender | |
Male | 98 (29.17) |
Female | 238 (70.83) |
Age (years) | |
20–25 | 80 (23.81) |
26–35 | 170 (50.6) |
36–45 | 49 (14.58) |
46–60 | 37 (11.01) |
Educational level | |
Associate degree | 73 (21.73) |
Bachelor's degree | 94 (27.98) |
Master's degree | 133 (39.58) |
Doctoral degree | 36 (10.71) |
Years of practice | |
1 or less | 116 (34.52) |
2–5 | 102 (30.36) |
6–10 | 41 (12.2) |
11 or more | 77 (22.92) |
Professional qualification | |
Intern | 83 (24.7) |
Resident | 101 (30.06) |
Attending dentist | 63 (18.75) |
Associate/chief dentists | 39 (11.61) |
Administration | 50 (14.88) |
Number of employees at workplace hospital | |
50 or less | 41 (12.20) |
51–100 | 31 (9.23) |
101–200 | 22 (6.55) |
201 or more | 242 (72.02) |
Entrepreneurial family member | |
Yes | 262 (77.98) |
No | 74 (22.02) |
Table
2 reports details of the survey questions and descriptive statistics about dentists’ risk aversion and entrepreneurial behavior. The average score of risk perception is 3.14, indicating that the dentists were slightly risk averse. While the mean of the dentists’ entrepreneurial behavior score is 3.62, indicating a moderately active level.
Table 2
Descriptive statistics of dentists’ risk aversion and entrepreneurial behaviors (N = 336)
Risk aversion | 3.14 (mean) | 1.04 (s.d.) |
Entrepreneurial behavior score* | 3.62 (mean) | 0.67 (s.d.) |
Q 1. The failure of starting a private business will have a negative impact on my future career. [N (%)] |
| 16 (4.76) | 87 (25.89) | 100 (29.76) | 100 (29.76) | 33 (9.82) | < 0.01 |
Q 1. This employee encourages others to take the initiative for their own ideas. [N (%)] |
| 1 (0.3) | 6 (1.79) | 70 (20.83) | 203 (60.42) | 56 (16.67) | < 0.01 |
Q 2. This employee inspires others to think about their work in new and stimulating ways. [N (%)] |
| 3 (0.89) | 12 (3.57) | 84 (25) | 171 (50.89) | 66 (19.64) | < 0.01 |
Q 3. This employee devotes time to helping others find ways to improve our products and services. [N (%)] |
| 5 (1.49) | 21 (6.25) | 114 (33.93) | 155 (46.13) | 41 (12.2) | < 0.01 |
Q 4. This employee vividly describes how things could be in the future and what is needed to get us there. [N (%)] |
| 9 (2.68) | 43 (12.8) | 151 (44.94) | 112 (33.33) | 21 (6.25) | < 0.01 |
Q5. This employee gets people to rally together to meet a challenge. [N (%)] |
| 7 (2.08) | 27 (8.04) | 124 (36.9) | 146 (43.45) | 32 (9.52) | < 0.01 |
Q 6. This employee creates an environment where people get excited about making improvements. [N (%)] |
| 9 (2.68) | 21 (6.25) | 109 (32.44) | 165 (49.11) | 32 (9.52) | < 0.01 |
Table
3 analyzes the characteristics of the respondents with or without EI respectively. Male dentists were more likely to report having EI. There were no statistically significant differences among various groups of age, educational level, and years of practice. Dentists in large hospitals (with more than 200 employees) are less likely to report having EI, while those in small hospitals (with less than 50 employees) are most likely to report having EI. Additionally, dentists who have entrepreneurial family members were significantly more likely to report having EI. Meanwhile, dentists with a high level of risk aversion are significantly less likely to report having EI.
Table 3
Associations between dentists’ entrepreneurial intention and relevant factors (N = 336)
Gender | | | |
Male | 58 (59.18%) | 40 (40.82%) | < 0.0001 |
Female | 62 (26.05%) | 176 (73.95%) |
Age (years) | | | |
20–25 | 30 (37.5%) | 50 (62.5%) | 0.631 |
26–35 | 57 (33.53%) | 113 (66.47%) |
36–45 | 21 (42.86%) | 28 (57.14%) |
46–60 | 12 (32.43%) | 25 (67.57%) |
Educational level | | | |
Associate degree | 28 (38.36%) | 45 (61.64%) | 0.932 |
Bachelor's degree | 34 (36.17%) | 60 (63.83%) | |
Master's degree | 45 (33.83%) | 88 (66.17%) | |
Doctoral degree | 13 (36.11%) | 23 (63.89%) | |
Professional qualification | | | |
Intern | 31 (37.35%) | 52 (62.65%) | 0.065 |
Resident | 32 (31.68%) | 69 (68.32%) |
Attending dentist | 28 (44.44%) | 35 (55.56%) |
Associate/chief dentists | 18 (46.15%) | 21 (53.85%) |
Administration | 11 (22.00%) | 39 (78.00%) |
Years of practice | | | |
1 or less | 45 (38.79%) | 71 (61.21%) | 0.588 |
2–5 | 33 (32.35%) | 69 (67.65%) | |
6–10 | 17 (41.46%) | 24 (58.54%) | |
11 or more | 25 (32.47%) | 52 (67.53%) | |
Number of employees at workplace hospital | | | |
50 or less | 22 (53.66%) | 19 (46.34%) | 0.041 |
51–100 | 9 (29.03%) | 22 (70.97%) |
101–200 | 10 (45.45%) | 12 (54.55%) |
201 or more | 79 (32.64%) | 163 (67.36%) |
Risk aversion level | | | |
1 (very low) | 9 (56.25) | 7 (43.75) | < 0.0001 |
2 (low) | 42 (48.28) | 45 (51.72) |
3 (neutral) | 31 (31) | 69 (69) |
4 (high) | 31 (31) | 69 (69) |
5 (very high) | 7 (21.21) | 26 (78.79) |
Entrepreneurial family member | | | |
Yes | 108 (41.22%) | 154 (58.78%) | < 0.0001 |
No | 12 (16.22%) | 62 (83.78%) |
Analysis results of the full model are reported in Table
4, using a multivariable logistic regression model. The odds ratio for females is 0.365 (
p = 0.001), indicating that the probability of a female dentist reporting planning to enter the private sector (EI) on average is only about 36.5% as likely as a male respondent. The EI of dentists in the age group of 36–45 years and 46–60 years were about 14 times (
p = 0.012) and 8.45 times (
p = 0.066) respectively as likely as those in the age group of 20–25 years.
Table 4
Multivariate logistic regression analysis of Dentists' entrepreneurial intention and associated factors (Full model, with personality variables) (N = 336)
Gender | | |
Male | 1 | |
Female | 0.365 (0.197–0.676) | 0.001 |
Age (years) | | |
20–25 | 1 | |
26–35 | 2.915 (0.81–10.487) | 0.101 |
36–45 | 14.205 (1.804–111.871) | 0.012 |
46–60 | 8.45 (0.868–82.254) | 0.066 |
Educational level | | |
Associate degree | 1 | |
Bachelor's degree | 0.36 (0.111–1.169) | 0.089 |
Master's degree | 0.221 (0.061–0.798) | 0.021 |
Doctoral degree | 0.118 (0.026–0.531) | 0.005 |
Professional qualification | | |
Intern | 1 | |
Resident | 1.654 (0.52–5.264) | 0.394 |
Attending dentist | 7.812 (1.471–41.475) | 0.016 |
Associate/chief dentists | 9.857 (1.411–68.848) | 0.021 |
Administration | 0.827 (0.206–3.318) | 0.789 |
Years of practice | | |
1 or less | 1 | |
2–5 | 0.389 (0.154–0.982) | 0.046 |
6–10 | 0.133 (0.027–0.664) | 0.014 |
11 or more | 0.015 (0.002–0.143) | < 0.0001 |
Number of employees at workplace hospital | | |
201 or more | 1 | |
101–200 | 3.554 (1.09–11.588) | 0.036 |
51–100 | 1.163 (0.426–3.179) | 0.768 |
50 or less | 2.398 (1.025–5.611) | 0.044 |
Entrepreneurial behavior | 3.602 (2.152–6.028) | < 0.0001 |
Risk aversion | 0.702 (0.542–0.909) | 0.007 |
Have entrepreneurial family member | 3.672 (1.571–8.584) | 0.003 |
Respondents with a higher Educational level are less likely to report EI, especially dentists with masters (OR = 0.221, p = 0.021) or doctoral degrees (OR = 0.118, p = 0.005). Regarding the professional qualification status of respondents, an attending dentist (OR = 7.812, p = 0.016) and associate/chief dentists (OR = 9.857, p = 0.021) have significantly much higher odds of reporting EI. Dentists in administration positions are not significantly more likely to report EI.
Meanwhile, years of practice are negatively associated with the EI. The odds ratios for dentists with 6–10 years and those with 11-years of work experience are 0.133 (p = 0.014) and 0.015 (p < 0.0001) respectively. The results suggest that dentists from mid-large hospitals (with 101–200 employees) (OR = 3.554, p = 0.036) and small public hospitals (with less than 50 employees) (OR = 2.398, p = 0.044) are on average significantly more likely than those in large hospitals (more than 200 employees) to report stronger EI, whereas the difference among those in medium-size hospitals (with 51–100 employees) are insignificant.
As reported in the bottom lines of Table
4, dentists with a higher level of entrepreneurial behaviors (OR = 3.602, p < 0.0001), or with an entrepreneur family member (OR = 3.672,
p = 0.003), are significantly more likely to report EI. However, dentists with stronger risk aversion are less likely to report EI (OR = 0.702,
p = 0.007).
Discussion
As for the association between EI and demographic characteristics, the findings in this study are generally consistent with existing literature, but with some exceptions due to the knowledge-intensive feature of dentistry.
Female dentists in this study are found on average to be less likely than males to report having EI. This finding is consistent with existing literature [
52‐
54]. The driving forces and pathways behind the gender difference are complicated [
53] and may be due to various factors, such as social/cultural gender roles [
55,
56], natural differences in personality and family responsibilities [
57,
58].
The findings in the study indicate that age is a key factor with a strong association with dentists’ EI, and with the strongest effects among the group of 36–45 years old and remaining strong among the upper middle age group. Unlike general business startups with active innovations by the young generations [
19‐
21], the professional qualification or criteria required by dentistry can only be obtained after years of education, practice, and experience.
A wide range of literature reports that education helps to increase EI through developing the natural entrepreneurial tendencies and enhancing the managerial ability of individuals [
59]. However, this study finds that dentists in China with postgraduate education are much less likely to report having EI, when other potential determinant factors are controlled. This may be due to the fact that, during the past decades, dental education in China has been focusing on either the research and academic career, or a career path in prestigious hospitals, with no or very little entrepreneurial knowledge and training provided. Additionally, dentists with long years of postgraduate dental education have a greater opportunity cost for their career and social reputation if they take risks to engage in entrepreneurship [
60].
A dentist’s professional qualification is another key factor with a strong positive association for EI. This finding can be explained by the fact that dentistry highly values professional qualification, which is especially necessary for the private sector if they want to obtain accreditation or to attract patients [
61,
62].
The findings in this study indicate that years of practice are negatively associated with EI among dentists in China, holding other factors constant. Given a small group of literature reporting the decline in self-employment among near-retirees [
63], most literature studying general business reports positive associations between working experience and EI [
64‐
66]. Actually, the findings in this study have reasonably reflected the professional feature of dentistry. First, without the sufficient professional qualification for dentistry, years of practice alone does not bring a career advantage in private sector practice. Second, the positive effects of entrepreneurial knowledge acquired through work experience have largely been reflected in the regression analysis by the variable of professional qualifications for dentists. In China, some senior-aged dentists received only a two-year college level education in the late 1980’s and currently can only attain a relatively low level of professional qualification despite their many years of working.
The results in the full model in Table
4 indicate that dentists in mid-large hospitals (with 101–200 employees) and the small hospitals (with less than 50 employees) have a much higher level of EI. The overall professional satisfaction of a dentist’s career in China is most associated with factors such as respect, delivery of care, income, and patient relations [
67]. The large hospitals in China, those with top tertiary connections, are always regarded with strong respect and supported with various types of social and financial resources. Meanwhile, small hospitals are on the other side of the spectrum. Hence, the career opportunity costs of entrepreneurial activities for the dentists from small hospitals are lower than for those in large hospitals. Dentists in mid-large hospitals may have a strong educational background and high quality skills too, but hold less prestigious career positions compared to those in top large hospitals. Taking these factors together into consideration, they may have a strong EI to start private practice to promote their career.
This study found that dentists’ entrepreneurial behavior levels had a significant positive association with their EI. These results are consistent with existing literature [
35,
68]. Entrepreneurial behavior features actually reflect a person’s personality traits that indicate the possibility of becoming a leader, traits such as being proactive and innovative, and strong teamwork skills [
14]. This finding also suggested that dentists with strong leadership skills or management skills in the public hospitals of China have high probabilities to leave for their own entrepreneurial activities.
This study found highly significant negative association between risk aversion and EI among dentists in China’s public hospitals. Risk aversion may indirectly reduce the possibility of EI through the channels of entrepreneurial skills and self-efficacy [
60]. While dentists in China are more sophisticated and socially experienced than dental students studied [
60], they actually may be even more risk-averse due to the larger social and economic opportunity cost in terms of career path, reputation and family economic responsibilities to be considered.
This study found a strong positive association between an individual’s EI and their family members or relatives involvement in dentistry entrepreneurial activities. This result is consistent with literature [
22,
23]. Further, active involvement in a social network may help to identify and obtain various resources needed for a start-up [
36,
69].
Limitation
This study is a cross sectional survey, hence it has the limitations inherent in this research method. First, there may be non-random sampling errors and measurement errors during the process of the survey. However, these errors are not major concerns in this study, because precautious actions and sampling process management were performed to minimize these errors, though this is no guarantee of complete elimination.
Second, this study is based on 336 observations of dentists in Guangdong Province of China, which is among the most developed area in China. Hence, caution is necessary when generalizing the findings to the national level.
Third, due to the survey research design using observatory data, this study may be subject to the survival bias. Dentists who are very good at entrepreneurial activities, or with strong skills may have left the public hospitals to start their private practice, and as a consequence, only those with low EI and skills remain working in the public hospitals. Hence, the analysis was limited to an associative relationship, rather than being interpreted as causal effects.
Forth, the analysis about EI may be subject to the omitted variable bias. There are actually various factors (e.g., personality characteristics and social/culture environment) affecting a person’s EI and these factors may also have complicated interaction effects on each other. However, it is impossible to include all potential influential factors in the estimation model.
Conclusions
Analyzing the survey results of 336 dentists from public hospitals in five major cities in Guangdong Province (China), this study found that, within the knowledge-intensive industry of dentistry, dentists’ entrepreneurial behaviors have their own features. Accumulation of practical skills during their career, as implied by age, professional qualifications and leadership skills, help to promote EI among dentists, whereas an academic oriented education degree per se does not promote EI. Post-graduate education and years of practice per se are not directly positively associated with a higher level of EI among dentists. The finding that dentists in mid-large and small hospitals in China are more likely to report EI is counter to the traditional perception, one that is biased toward the dentists in top large hospitals. Additionally, female dentists have a lower level of EI, suggesting more social supports or self-efficacy are necessary to promote female dentists’ entrepreneurship and to help them to choose optimal career path.
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