Browsing by Subject "perceived behavioural control"

Now showing 1 - 4 of 4
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    Open Access
    Applying the Theory of Planned Behaviour with the addition of role-identity to predict lecture attendance behaviour
    (2019) Majudith, Nadira; Bagraim, Jeffrey
    This study aimed to investigate the behaviour of lecture attendance amongst undergraduate students at the University of Cape Town (UCT) by applying the Theory of Planned Behaviour (TPB). A total of 169 respondents completed either a hard copy or online survey whilst meeting the inclusion criteria. The sample consisted of students from a first-year mathematics course (which had compulsory lecture attendance for registered students) and from a first-year organisational psychology course (which had voluntary lecture attendance for registered students). The study aimed to broaden the limited knowledge which exists around the perceptions of students regarding lecture attendance specifically in a South African context. Confirmatory Factor Analysis, Exploratory Factor Analysis and reliability analyses strongly supported the application of the TPB model scales and role-identity scale. Regression analysis showed that only attitudes help to predict intention towards lecture attendance behaviour where subjective norms, perceived behavioural control and role-identity were not significant predictors. Intentions were also seen to be highly correlated to actual attendance behaviour as well as helping to predict actual attendance behaviour. Actual behavioural control (ABC) was not seen as a moderator between intention and actual lecture attendance. Practical and theoretical implications were discussed. The information generated by this study can be used to further understand the occurrence of, and students’ perceptions of lecture attendance.
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    Open Access
    Conversion intentions amongst South African interns in time of COVID-19: An application of the Theory of Planned Behavior
    (2021) Archary, Kendra; Bagraim, Jeffrey
    Internships provide students with the unique opportunity to experience what working for a particular organisation will entail, while simultaneously giving the organisation a chance to evaluate the students' work capabilities and cultural fit before offering them a full-time employment contract. As a result, internships have necessitated deeper understanding, from researchers and employers alike, of what impacts intern conversion rates within host organisations. Drawing on the Theory of Planned Behaviour (TPB) (Ajzen, 1991) this study explored the intention toward conversion into full-time employment within host organisations of the South African intern. The study employed a quantitative design to test the hypotheses that behavioural beliefs (attitudinal beliefs, subjective normative beliefs, and perceived behavioural control beliefs) would influence the intention to convert. A total of 210 respondents completed an online survey. The sample consisted of interns from three South African organisations. Confirmatory Factor Analysis (CFA) of the measurement and structural models found that the hypothesised models fit the data moderately well. Results of the regression analysis showed that both attitudes and subjective norms were significant in determining intention towards converting into full-time employment, however, perceived behavioural control and perceptions of COVID-19 were not significant determinants of conversion behaviour. The study makes three contributions to the literature. First, TPB can be a useful framework to explain interns' intention to convert. Second, the utility of the TPB framework for conversion intentions was established. Third, this study contributes to limited research on the topic and the findings call for longer-term research on intern conversion in the South African context with larger sample groups.
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    Open Access
    Entrepreneurial Intentions of South African university students: an application of the theory of planned behaviour
    (2024) Brenner, Bianca; Bagraim, Jeffrey
    This study investigated the Entrepreneurial Intentions (EI) of South African students at three universities in the Western Cape, using the Theory of Planned Behaviour (TPB). The research employed a two-phase design, starting with a less dominant qualitative exploration through nine interviews with students. Subsequently, a more prominent quantitative phase was carried out using an online survey questionnaire. The primary objective was to determine whether the TPB model influences EI over and above situational factors (prior entrepreneurial experience and knowledge of entrepreneurial support) and demographic variables. Contextual measures obtained from the qualitative phase, such as load-shedding and the South African economy, were also incorporated into the questionnaire. Usable responses were received from 523 students (N = 523), allowing for rigorous statistical analyses, including Confirmatory Factor Analysis, Exploratory Factor Analysis, and reliability assessments. Hierarchical Regression Analyses indicated that the TPB explained approximately 48.8% of the variance in EI over and above the situational, demographic and contextual factors. Of all the predictors of EI examined in this study, only race and prior entrepreneurial experience were found to significantly add to the predictive power of TPB in explaining EI. The findings suggest that the TPB influences EI among South African students, over and above situational, demographic and contextual factors.
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    Entrepreneurship Intentions Amongst South African TVET Students: An Application of the Theory of Planned Behaviour
    (2021) Sundelson, Jamie; Bagraim, Jeffrey
    The primary aim of the investigation was to explore the entrepreneurship intent (EI) of South African TVET students by applying the Theory of Planned Behaviour (TPB). Additional factors (demographics, community valuation, prior exposure to entrepreneurship and COVID-19 perceptions) were included as control variables within the model to assess the utility of the TPB. Student participants (N = 128) completed an online survey administered through two institutions in the Western Cape and made available by a Facebook link. The application of the TPB model scales was strongly supported by the results of the exploratory factor analyses (EFA) conducted as well as reliability analyses. Regression analyses indicated that the Theory of Planned Behaviour explained approximately 80% of the variance in entrepreneurial intention (p < .001). However, only attitudes were a significant determinant of entrepreneurial intention, whereas subjective norms and perceived behavioural control were not significant determinants of EI. Moreover, the control variables (demographic factors, community valuation, prior exposure to entrepreneurship) did not explain significant variance in EI, with the exception of COVID-19 perception, which was a significant determinant (β = .259, t = 3.159, p < .05). Hayes (2018) PROCESS macro was thereby used to investigate the moderation effect of COVID-19 perceptions, which were found to significantly moderate the relationship between perceived behavioural control and entrepreneurial intention. The contributions of the investigation are discussed and recommendations for future research are presented.