Predicting entrepreneurial behaviour: a test of the theory of planned behaviour
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Citations
Robustness of the Theory of Planned Behavior in Predicting Entrepreneurial Intentions and Actions
Determinants of Entrepreneurial Intent: A Meta‐Analytic Test and Integration of Competing Models
A systematic literature review on entrepreneurial intentions: citation, thematic analyses, and research agenda
The future of research on entrepreneurial intentions
Exploring the intention–behavior link in student entrepreneurship: Moderating effects of individual and environmental characteristics
References
Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
The theory of planned behavior
From Intentions to Actions: A Theory of Planned Behavior
Efficacy of the Theory of Planned Behaviour: a meta-analytic review.
Confirmatory Factor Analysis for Applied Research
Related Papers (5)
Competing models of entrepreneurial intentions
Development and Cross-Cultural Application of a Specific Instrument to Measure Entrepreneurial Intentions
Frequently Asked Questions (12)
Q2. What are the future works mentioned in the paper "Predicting entrepreneurial behaviour: a test of the theory of planned behaviour" ?
Hence, future studies should seek to obtain larger, preferably cross-cultural samples to validate the preliminary findings presented in this article. Moreover, future research should distinguish between different types of entrepreneurship, such as full-time and parttime entrepreneurship, sole proprietorships and businesses with employees, lifestyle businesses and those with growth aspirations, opportunity and necessity-driven entrepreneurship, or for-profit and social enterprises. These distinctions are of considerable relevance to policy, for example, in terms of assessing the social and economic potential of latent entrepreneurship in different segments of the population, and in targeting and designing enterprise support initiatives. In spite of the limitations, this article demonstrates the potential of the TPB in studying the emergence of complex economic behaviour such as entrepreneurship prior to the onset of any observable action.
Q3. What is the common method used in SEM?
The analysis uses the MPlus Version 6 software package, which canaccommodate probit regressions into structural equation models with the WLSMV estimator (Muthén and Muthén, 1998-2010; Xie, 1999), thus enabling the modelling of ordinal response variables (intention and behaviour) in the SEM framework.
Q4. What is the meaning of intention in the TPB framework?
In the TPB framework, intention is a function of three antecedents: a favourable or unfavourable evaluation of the behaviour (attitude), perceived social pressure to perform or not perform the behaviour (subjective norm), and the perceived ease or difficulty of performing the behaviour (Perceived Behavioural Control, PBC) (Ajzen, 1991).
Q5. What is the meaning of intention in the entrepreneurship literature?
Applied to the entrepreneurial context, the more positive an individual’s evaluations of engaging in entrepreneurial behaviour are, the more supportive of entrepreneurial behaviour the individual perceives their significant others to be, and the more capable they feel of performing entrepreneurial activities, the stronger should be their intention, ceteris paribus, to engage in entrepreneurial behaviour.
Q6. How does Ajzen cite the fact that the entrepreneur is not fully under his or?
Since entrepreneurial behaviour is not totally under the individual’s volitional control – for example, dealing with regulations, obtaining financing and acquiring customers introduce contingencies to the process of new venture creation that are beyond the aspiring entrepreneur’s complete control – PBC is likely to contribute to the prediction of behaviour over and above its mediated influence via intention.
Q7. What is the primary dependent variable in the study?
The primary dependent variable in this study, entrepreneurial behaviour, captures whether and how the respondent had engaged in entrepreneurial behaviour by the time of the second survey wave in November 2009.
Q8. What is the way to estimate a structural model?
The estimated model shows good fit with the data: the chi-square test of model fit is non-significant; the comparative fit index (CFI) exceeds the recommend minimum value of 0.95; the root-mean-square error (RMSEA) score is below the recommended maximum value of 0.06; and the weighted root-mean-square residual (WRMR) is less than the recommended maximum value of 0.90 for models with categorical dependent variables (Hu and Bentler, 1999; Yu and Muthén, 2002).
Q9. What was the first-wave survey on entrepreneurial behaviour?
The second-wave survey collected data on entrepreneurial behaviour, andincluded those first-wave respondents who were not self-employed in 2006 and who had given their permission and contact details for a follow-up study (29% of those not self-employed in 2006).
Q10. How many respondents were female in the first wave of the survey?
women have a higher comparative participation rate than men, since 58% of the respondents in the sample are female compared with 49 % in the original list.
Q11. What is the definition of intention in the entrepreneurship literature?
In the entrepreneurial context, Thompson (2009, p. 676) defines intention as ‘a self-acknowledged conviction by a person that they intend to set up a new business venture and consciously plan to do so at some point in the future’.
Q12. What limitations affect the generalizability of the results?
The firstlimitation is the small number of respondents who participated in both waves of the survey (N=117), while the second limitation refers to the geographic scope of the sample being limited to three Finnish provinces.