Predicting entrepreneurial intention among business students of public sector universities of Pakistan: an application of the entrepreneurial event model

Abstract

PurposeThis paper tries to examine the entrepreneurial intention of business students of public sector universities of Pakistan through the entrepreneurial event model (EEM).Design/methodology/approachThe study is a quantitative study and is based on cross-sectional data. The data is collected through a survey questionnaire. The random sample technique is used for data collection. The respondents are the business students of different public sector universities of Pakistan. In total 310 valid samples are utilized for final analysis.FindingsBy employing to SEM through Analysis of Moment Structure (AMOS) version 26.0, the overall findings show a positive and significant impact of perceived feasibility (PF), perceived desirability (PD) and self-efficacy on entrepreneurial intention (EI).Practical implicationsThe outcomes of the study may be helpful for policymakers to formulate the policies regarding the promotion of entrepreneurship and self-employment for reducing the burden of unemployment. Possibly, it may prove as an appliance for prosperity and income generation through boosting entrepreneurship. Moreover, it may contribute to the literature of entrepreneurship, mainly for Pakistan and the developing world.Originality/valueThe study would support in achieving economic development by diverting individuals' intention for entrepreneurship.

The impact of media on entrepreneurship participation: a cross-country panel data analysis

“…their behaviors because entrepreneurship is also considered as life survival action (Stevenson and Jarillo, 2007).…”

“…Fourthly, the current study used the panel data for model testing which provided an opportunity for analytical contribution. The majority of the previous studies on entrepreneurial intention and entrepreneurship participation have primarily used the survey design (Soomro et al, 2020;Liang et al, 2019;Arshad et al, 2019;Al-Jubari et al, 2019). The survey design has its own limitations such as low response rate and the issue of internal validity and generalizability (Coughlan et al, 2009).…”

Technopreneurship intention among nonbusiness students: a quantitative assessment

“…The study also found a significant association between ESE, growth and independence-oriented intentions. More recently, in the context of Pakistan, self-efficacy (SE), perceived feasibility and perceived desirability are found to be the significant predictors of EI (Soomro et al, 2020).…”

“…Consequently, the authors have mainly focused on EI through the different factors such as perceived feasibility, perceived desirability, ESE, proactive personality, university support towards EI (Sidratulmunthah and Malik, 2018;Shi et al, 2019;Soomro et al, 2020) rather than TE, particularly in Pakistan. Therefore, based on the unavailability of empirical evidence, we proposed the following model (Figure 1) for evaluation among nonbusiness students.…”

A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique

“…Other abnormalities, such as mastitis, adenopathy, and granuloma, may also be found in breast images [4]. Machine learning (ML) techniques have found its wide applications in many fields such as prediction problems in educational field [5]- [9], bankruptcy prediction [10]- [16], pattern recognition [17]- [28], image editing [29]- [39], feature reduction [40]- [44], fault diagnosis [45]- [50], face recognition and micro-expression recognition [51]- [57], natural language processing [58], [59] and medical diagnosis [60]- [74]. Especially, it has found its great potential in BC diagnosis.…”