Modelling the significance of social support and entrepreneurial skills for determining entrepreneurial behaviour of individuals

2018 ◽  
Vol 14 (3) ◽  
pp. 242-266 ◽  
Author(s):  
Muhammad Shoaib Farooq
Keyword(s):  
Social Support ◽  
Explanatory Power ◽  
Entrepreneurial Intention ◽  
Subjective Norms ◽  
Policy Makers ◽  
Content Type ◽  
Entrepreneurial Behaviour ◽  
Entrepreneurial Skills ◽  
Proposed Model ◽  
The Impact

Purpose Although entrepreneurial behaviour is considered a key element for economic development, yet very less is known about the determinants of factors leading towards entrepreneurial intention and behaviour. In order to bridge this gap, the purpose of this paper is to investigate the role of social support and entrepreneurial skills in determining entrepreneurial behaviour of individuals. Developing on the base of the theory of planned behaviour (TPB), this study investigates the relationship between social support, entrepreneurial skills and entrepreneurial behaviour along with existing constructs of the TPB (i.e. attitude, subjective norms, perceived behavioural control and entrepreneurial intention). Design/methodology/approach Data was collected from 281 respondents using a simple random sampling method, and the variance-based partial least-squares, structural equation modelling (PLS-SEM) approach was used for testing the proposed conceptual model. Findings Findings of this study have validated the proposed model, which have an explanatory power of 68.3 per cent. Moreover, findings reveal that social support and entrepreneurial skills have a significant impact on entrepreneurial intention of individuals. However, an unanticipated and non-significant relation between subjective norms and entrepreneurial intention is also found. Research limitations/implications Due to the limited scope of this study, a multi-group analysis is not possible, which is considered as a limitation of this study. Moreover, due to time constraints, this study is conducted within a specified time-frame; however, a longitudinal study over a period of three to six years can overcome this limitation. Practical implications Findings of this study are expected to have substantial implications for policy makers, future researchers and academicians. Outcomes of this study can help to better understand the cognitive phenomenon of nascent entrepreneurs. Moreover, it is expected that this study can serve as a torch-bearer for policy makers to develop better entrepreneurial development programmes, policies and initiatives for promoting self-employment behaviour. Originality/value Findings of this study are a unique step forward and offer new insights towards a better understanding of the determinants of entrepreneurial behaviour. Moreover, this study extends Ajzen’s (1991) TPB in the context of entrepreneurial behaviour. By introducing and investigating the impact of two new variables, i.e. social support and entrepreneurial skills in the TPB and by validating the proposed model with PLS-SEM approach, this study makes a sizeable theoretical, methodological and contextual contribution in the overall body of knowledge.

scholarly journals The impact of higher education on entrepreneurial intention and human capital

2018 ◽  
Vol 19 (1) ◽  
pp. 135-156 ◽  
Author(s):  
Renato Passaro ◽  
Ivana Quinto ◽  
Antonio Thomas
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
Structural Equation ◽  
Entrepreneurial Intention ◽  
Entrepreneurial Process ◽  
Policy Makers ◽  
Content Type ◽  
Two Samples ◽  
Impact Of Higher Education ◽  
The Impact

Purpose The purpose of this paper is to investigate the impact of higher education on the emergence of entrepreneurial intention (EI) and human capital (HC) as a component of intellectual capital (IC) that strongly influences the entrepreneurial process. Design/methodology/approach On the basis of a literature review, a theoretical model that is focused on the theory of planned behaviour was defined to verify the impact of higher education on the development of EI and HC. To this end, the structural equation modelling methodology was applied to two samples of students and academics, which differ each other in terms of both education level and specific characteristics of entrepreneurship education activities. Findings The main results show that there are significant differences between the two considered samples. In particular, the level and specific characteristics of entrepreneurial education are the key factors for the development of EI and HC. Practical implications The research may be of relevance for universities and policy makers. Universities must devote more attention to training and practice-oriented entrepreneurial courses and collateral activities (projects, initiatives, actions), both for students (first mission) and academic aspiring entrepreneurs (third mission) to encourage the emergence of EI and HC formation. For policy makers, this study suggests the need to define policy guidelines and frameworks to support universities’ educational programmes and activities to strengthen the entrepreneurial process, so that they can be consistent with the EU and national entrepreneurship policies. Originality/value This explorative research intends to contribute to the scientific debate by filling the knowledge gap that is due to the very limited number of studies that analyse whether and how EI can mediate the relationship between higher education and HC as an IC component.

Education and enterprising profile of young community: evidence from a transition country

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vjollca Hasani ◽  
Jusuf Zeqiri ◽  
Kumrije Gagica ◽  
Kimberly Gleason ◽  
Sadudin Ibraimi
Keyword(s):  
Behavioral Control ◽  
Entrepreneurial Intention ◽  
Subjective Norms ◽  
Entrepreneurial Intentions ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Entrepreneurial Education ◽  
Content Type ◽  
Personal Attitudes ◽  
The Impact

Purpose This paper, in light of the theory of planned behavior, aims to analyze the factors that have an impact on entrepreneurial intentions among students in Kosovo. Design/methodology/approach A structured questionnaire is administered online for data collection, and the analysis is conducted using structural equation modeling. Findings The authors find that in the context of Kosovo, personal attitudes, subjective norms and perceived behavioral control significantly impact entrepreneurial intention among students. However, the entrepreneurial education survey respondents received was unrelated to entrepreneurial intention of students in Kosovo. Originality/value The authors contribute to the literature regarding the role of entrepreneurial education on entrepreneurial intention among students and graduates. In addition, the authors provide new evidence regarding the impact of personal attitudes, subjective norms and perceived behavioral control on entrepreneurial intention in the context of a transition economy. Finally, the authors offer recommendations to educational institutions and policymakers concerning the appropriate design of entrepreneurial education.

scholarly journals Entrepreneurial intention: An analysis of the role of Student-Led Entrepreneurial Organizations

2021 ◽  
Author(s):  
Giuliano Sansone ◽  
Elisa Ughetto ◽  
Paolo Landoni
Keyword(s):  
Entrepreneurial Intention ◽  
Policy Implications ◽  
Policy Makers ◽  
Student Entrepreneurship ◽  
Entrepreneurial Organizations ◽  
Entrepreneurial Activities ◽  
The University ◽  
The Impact ◽  
The Empirical Analysis

AbstractAlthough a great deal of attention has been paid to entrepreneurship education, only a few studies have analysed the impact of extra-curricular entrepreneurial activities on students’ entrepreneurial intention. The aim of this study is to fill this gap by exploring the role played by Student-Led Entrepreneurial Organizations (SLEOs) in shaping the entrepreneurial intention of their members. The analysis is based on a survey that was conducted in 2016 by one of the largest SLEOs in the world: the Junior Enterprises Europe (JEE). The main result of the empirical analysis is that the more time students spent on JEE and the higher the number of events students attended, the greater their entrepreneurial intention was. It has been found that other important drivers also increase students’ entrepreneurial intention, that is, the Science and Technology field of study and the knowledge of more than two foreign languages. These results confirm that SLEOs are able to foster students’ entrepreneurial intention. The findings provide several theoretical, practical and public policy implications. SLEOs are encouraged to enhance their visibility and lobbying potential in order to be recognized more as drivers of student entrepreneurship. In addition, it is advisable for universities and policy makers to support SLEOs by fostering their interactions with other actors operating in the entrepreneurial ecosystem, who promote entrepreneurship and technology transfer activities. Lastly, this paper advises policy makers to assist SLEOs’ activities inside and outside the university context.

Impact of training on entrepreneurial intention: an interactive cognitive perspective

2015 ◽  
Vol 27 (6) ◽  
pp. 593-616 ◽  
Author(s):  
Fayçal Boukamcha
Keyword(s):  
Training Program ◽  
Case Studies ◽  
Entrepreneurial Intention ◽  
Equation Modeling ◽  
Cognitive Perspective ◽  
Content Type ◽  
Success Stories ◽  
Self Employment ◽  
Entrepreneurial Training ◽  
The Impact

Purpose – This paper aims to clarify the impact of the entrepreneurial training on a Tunisian trainee’s entrepreneurial cognitions and intention. An interactive cognitive perspective was adopted to test the interaction effect between the entrepreneurial cognitions: the perceived entrepreneurial self-efficacy, the perceived entrepreneurial feasibility and entrepreneurial desirability. A research model was built showing several relationships between entrepreneurial training, cognitions and intention. Design/methodology/approach – A survey was conducted on a convenience sample of 240 participants in four business incubators. The maximum-likelihood test was used as a structural equation modeling method to test the model. Findings – The results show the importance of the entrepreneurial training in the development of entrepreneurial cognitions. Further, the findings, to some extent, validate the interaction between the entrepreneurial cognitive patterns. However, entrepreneurial intention was only predicted through the entrepreneurial desirability. Several implications are discussed at the end of this paper. Practical implications – The findings seem interesting insofar, as they show the importance of entrepreneurial trainings in the entrepreneurial intention development through the enhancement of desirability. This process can be triggered by a training program that contains case studies, success stories and conferences to make the youth enthusiastic about self-employment. Originality/value – The significant impact of the entrepreneurial training on trainees’ cognitions should encourage governments and incubators to promote entrepreneurial training programs to enhance the youths’ willingness to create their own businesses. The findings in this paper seem interesting insofar as they show the importance of entrepreneurial trainings in the entrepreneurial intention development through the enhancement of desirability. This process can be triggered by a training program that contains case studies, success stories and conferences to make the youth enthusiastic about self-employment.

Drivers of sustainable entrepreneurial intentions among university students: an integrated model from a developing world context

2021 ◽  
Vol 22 (3) ◽  
pp. 659-680
Author(s):  
Agu Godswill Agu ◽  
Okwuagwu Okuu Kalu ◽  
Chidadi Obinna Esi-Ubani ◽  
Paul Chinedu Agu
Keyword(s):  
University Students ◽  
Structural Model ◽  
Developing World ◽  
Explanatory Power ◽  
Entrepreneurial Intention ◽  
Integrated Model ◽  
Entrepreneurial Intentions ◽  
Sustainable Entrepreneurship ◽  
Content Type ◽  
Event Model

Purpose The purpose of this study is to integrate and extend two models of entrepreneurial intention to investigate the drivers of sustainable entrepreneurial intention among intermediate undergraduate university students in Nigeria. Specifically, this paper aims to introduce education for sustainable entrepreneurship into the integrated model, thereby fitting the model into the context of sustainable entrepreneurship. Design/methodology/approach Data was gathered with the help of a structured questionnaire from 435 students of a university in Nigeria. The students passed through a special entrepreneurship training in which they were educated on the concept and practice of sustainable entrepreneurship. SmartPLS was used to test the proposed structural model. Findings The findings revealed that education for sustainable entrepreneurship significantly influences all variables of the integrated model, but has nonsignificant direct influence on sustainable entrepreneurial intention. Sustainable entrepreneurial intention is significantly driven by attitude and propensity to act. Therefore, the inclusion of education for sustainable entrepreneurship into the regression equation adds to its explanatory power. Originality/value This study contributes toward understanding of sustainable entrepreneurial intention of intermediate university students in a developing world context – Nigeria. Above all, it is among the few studies that shed light on the strength of education for sustainable entrepreneurship in the formation of sustainable entrepreneurial intention among students. This study proposes integration and extension (by adding education for sustainable entrepreneurship) of the theory of planned behavior and entrepreneurial event model in learning about students’ intentions to engage in sustainable entrepreneurship.

Assessing the impact of Covid-19 pandemic in Turkey with a novel economic uncertainty index

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Erhan Mugaloglu ◽  
Ali Yavuz Polat ◽  
Hasan Tekin ◽  
Edanur Kılıç
Keyword(s):  
Industrial Production ◽  
Explanatory Power ◽  
Principal Component ◽  
Intermediate Goods ◽  
Economic Uncertainty ◽  
Content Type ◽  
Uncertainty Shocks ◽  
Political Events ◽  
Uncertainty Index ◽  
The Impact

PurposeThis study aims to measure economic uncertainty in Turkey by a novel economic uncertainty index (EUI) employing principal component analysis (PCA). We assess the impact of Covid-19 pandemic in Turkey with our constructed uncertainty index.Design/methodology/approachIn order to obtain the EUI, this study employs a dimension reduction method of PCA using 14 macroeconomic indicators that spans from January 2011 to July 2020. The first principal component is picked as a proxy for the economic uncertainty in Turkey which explains 52% of total variation in entire sample. In the second part of our analysis, with our constructed EUI we conduct a structural vector autoregressions (SVAR) analysis simulating the Covid-19-induced uncertainty shock to the real economy.FindingsOur EUI sensitively detects important economic/political events in Turkey as well as Covid-19-induced uncertainty rising to extremely high levels during the outbreak. Our SVAR results imply a significant decline in economic activity and in the sub-indices as well. Namely, industrial production drops immediately by 8.2% and cumulative loss over 8 months will be 15% on average. The losses in the capital and intermediate goods are estimated to be 18 and 25% respectively. Forecast error variance decomposition results imply that uncertainty shocks preserve its explanatory power in the long run, and intermediate goods production is more vulnerable to uncertainty shocks than overall industrial production and capital goods production.Practical implicationsThe results indicate that monetary and fiscal policy should aim to decrease uncertainty during Covid-19. Moreover, since investment expenditures are affected severely during the outbreak, policymakers should impose investment subsidies.Originality/valueThis is the first study constructing a novel EUI which sensitively captures the critical economic/political events in Turkey. Moreover, we assess the impact of Covid-19-driven uncertainty on Turkish Economy with a SVAR model.

The impact of the institutional environment and experience on social entrepreneurship: a multi-group analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ezlika M. Ghazali ◽  
Dilip S. Mutum ◽  
Haleh Hakim Javadi
Keyword(s):  
Social Support ◽  
Social Work ◽  
Social Workers ◽  
Social Entrepreneurship ◽  
Work Experience ◽  
Structural Equation ◽  
Group Analysis ◽  
Social Entrepreneurs ◽  
Content Type ◽  
The Impact

PurposeThis study presents a framework for integrating distinct perspectives on social entrepreneurship by combining institutional theory with the social entrepreneurship intention model. The framework assesses the relationships between social support and the perceived feasibility and desirability of social entrepreneurship, the relationships between social support and the institutional environments of social workers, and the moderating role of prior experience of social work and volunteering.Design/methodology/approachThe model was tested using 266 validated responses from an online and paper-based survey distributed among social workers. Partial least squares structural equation modelling was used to analyse the data, and multi-group analysis was conducted to examine the moderation effects.FindingsThe findings indicate that experience moderates the relationships between the regulatory and cognitive environments, cognitive environments and social support, and social support and perceived feasibility. Experience negatively moderates the relationship between the normative environment and social support.Practical implicationsActive government involvement in the form of incentives and financial support would encourage the creation of social ventures.Social implicationsEducational programmes are also necessary to help raise awareness and increase the familiarity and knowledge of potential social entrepreneurs.Originality/valueThe study analyses the effects of institutional environmental components, recognised as highly influential on the development of social entrepreneurship, as well as the impact of perceived social support on the antecedents of the perceived desirability and feasibility of social entrepreneurship. It also addresses how social work experience modifies these relationships. Contrary to previous studies, the findings suggest that increasing social work experience isolates entrepreneurs from their environment.

Performance measurement and resource sharing among business sub-units in the presence of non-discretionary factors

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rita Shakouri ◽  
Maziar Salahi
Keyword(s):  
Resource Sharing ◽  
Content Type ◽  
Development Level ◽  
Proposed Model ◽  
Decision Making Unit ◽  
Efficiency Estimation ◽  
Overall Efficiency ◽  
And Performance ◽  
The Right ◽  
The Impact

Purpose This paper aims to apply a new approach for resource sharing and efficiency estimation of subunits in the presence of non-discretionary factors and partial impacts among inputs and outputs in the data envelopment analysis (DEA) framework. Design/methodology/approach First, inspired by the Imanirad et al.’s model (2013), the authors consider that each decision-making unit (DMU) may consist of several subunits, that each of which can be affected by non-discretionary inputs. After that, the Banker and Morey’s model (1996) is used for modeling non-discretionary factors. For measuring performance of several subunits, which can be considered as DMUs, the aggregate efficiency is suggested. At last, the overall efficiency is computed and compared with each other. Findings One of the important features of proposed model is that each output in this model applies discretionary input according to its need; therefore, the result of this study will make it easier for the managers to make better decisions. Also, it indicates that significant predictions of the development of the overall efficiency of DMUs can be based on observing the development level of subunits because of the influence of non-discretionary input. Therefore, the proposed model provides a more reasonable and encompassing measure of performance in participating non-discretionary and discretionary inputs to better efficiency. An application of the proposed model for gaining efficiency of 17 road patrols is provided. Research limitations/implications More non-discretionary and discretionary inputs can be taken into consideration for a better analysis. This study provides us with a framework for performance measures along with useful managerial insights. Focusing upon the right scope of operations may help out the management in improving their overall efficiency and performance. In the recent highway maintenance management systems, the environmental differences exist among patrols and other geotechnical services under the climate diverse. Further, in some cases, there might exist more than one non-discretionary factor that can have different effects on the subunits’ performance. Practical implications The purpose of this paper was to measure the performance of a set of the roadway maintenance crews and to analyze the impact of non-discretionary inputs on the efficiency of the roadway maintenance. The application of the proposed model, on the one hand, showed that each output in this model uses discretionary input according to its requirement, and on the other hand, the result showed that meaningful predictions of the development of the overall efficiency of DMUs can be based on observing the development level of subunits because of the impact of non-discretionary input. Originality/value Providing information on resource sharing by taking into account non-discretionary factors for each subunit can help managers to make better decisions to increase the efficiency.

The use of open government data to citizen empowerment: an empirical validation of a proposed model

foresight ◽  
2018 ◽  
Vol 20 (6) ◽  
pp. 665-680 ◽  
Author(s):  
Md Nahin Hossain ◽  
Md Shamim Talukder ◽  
Md Rakibul Hoque ◽  
Yukun Bao
Keyword(s):  
The Body ◽  
Open Government ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Proposed Model ◽  
Open Government Data ◽  
Citizen Empowerment ◽  
Government Data ◽  
The Impact

Purpose The purpose of this paper is to measure the impact of open government data (OGD) on citizen empowerment. Design/methodology/approach This study advances the body of knowledge on OGD by proposing an integrated research model based on transparency, accountability, participation and collaboration dimensions. The research model was empirically tested using 275 responses using the on-paper survey from the university students and professionals in Bangladesh. Data were analyzed using the structured equation modeling technique. Findings Findings revealed that transparency and participation have a positive and significant direct and indirect influence on citizen empowerment through accountability and collaboration. Overall, the four basic pillars of OGD such as transparency, participation, accountability and collaboration interrelated with each other and have the impact on citizen empowerment. Research limitations/implications This study has proposed an instrument that sums the dimensions of open government, which avoids tautology and redundancy among OGD dimensions. More research should be done to validate the proposed model and the instruments used in this study. Practical implications For the researchers, this study provides a basis for further refinement of individual models of empowerment. For practitioners, understanding the key constructs is crucial to design, refine and implement OGD systems and applications that empower citizens, create public values and strengthen the democratic process. Originality/value This research is the first step that empirically investigates the impact of OGD on citizen empowerment which is the ultimate goals of any democratic government.

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