Entrepreneurial skills of students of polytechnic higher education in Portugal: Business influences

Introduction: Most of entrepreneurial ideas does not appear ready or over. Any business opportunity needs to be developed and improved throughout the enterprise process. Educational institutions may facilitate the ability of the students had undertaken, identifying and building business opportunities, enhancing their knowledge and formative experiences along the learning process. Objectives: Evaluate the business influences the entrepreneurial ability of students of the Polytechnic. Methodology: Correlational quantitative study, conducted with 1604 students from 18 institutions of the Polytechnic of Portugal. Data collection took place between July and November/2015, with a questionnaire to assess the entrepreneurial profile, Carland Entrepreneurship Index (CEI) and sociodemographic variables of students. Results: We found four business factors that influence entrepreneurship, "availability of funds" (4:13, SD = .67); "Have stable customers and incentives" (3.99, SD = .58); "Social and economic instability" (3:08, SD = 1.17) and "opportunities in the sector and area of residence" (3:36, SD = 1.05). On a scale range between (1-5), we obtained an overall score of 3.86 (SD = .55), for the corporate influences on entrepreneurship. Conclusion: For students entrepreneurial influences are important, with a greater sense of fear with regard to economic instability, reinforcing the need for further training and academic investment in the business.

Entrepreneurial skills of students of polytechnic higher education in Portugal: Business influences

Background Most entrepreneurial ideas do not appear ready or finished. Any business opportunity needs to be developed and improved throughout the enterprise process. Educational institutions may facilitate the ability of the students in undertaking, identifying and building business opportunities, enhancing their knowledge and formative experiences along the learning process. Objective: Evaluate business influences on the entrepreneurial ability of students of the Polytechnic. Methods Correlational quantitative study, conducted with 1,604 students from 18 institutions of the Polytechnic of Portugal. Data collection took place between July and November/2015, with a questionnaire to assess the entrepreneurial profile, the Carland Entrepreneurship Index (CEI) and sociodemographic variables of students. Results We found four business factors that influence entrepreneurship: "availability of funds" (4:13, SD = .67); "Having stable customers and incentives" (3.99, SD = .58); "Social and economic instability" (3:08, SD = 1.17) and "Opportunities in the sector and area of residence" (3:36, SD = 1.05). On a scale ranging between 1 and 5, we obtained an overall score of 3.86 (SD = .55), for the corporate influences on entrepreneurship. Conclusions For students, entrepreneurial influences are important, with a greater sense of fear with regard to economic instability, reinforcing the need for further training and academic investment in business.

Analysis of the entrepreneurial profile of students attending higher education in Portugal: the Carland Entrepreneurship Index application

Background The societal changes have created new necessities in terms of health care and of professionals with diverse skills. The institutions of higher education should promote the development of an entrepreneurial profile in students which may boost the exploration of new opportunities. Objectives: To identify the entrepreneurial profile in the students in higher education and its relationship to some personal characteristics and training. Methods Correlational quantitative study, accomplished with 1,604 students from 18 institutions of polytechnic Institutes of Portugal. The collection of data occurred between July and November/2015. The Carland Entrepreneurship Index (CEI) entrepreneurial skills questionnaire was applied, along with the acquisition of socio-demographic variables of the students. Data was analysed with the SPSS 23.0. The study followed the ethical requirements. Results The (CEI) application, allowed us to note that 75.7 % of the students presented an entrepreneurial profile, 20.8 % a Micro entrepreneurial profile and 3.4 % a Macro entrepreneurial. Additionally, we verified that older students (r = 0.193, p < = 0.000), of the male gender (Female = 0.55; Male, M= 0.580 p < 0.000), that had already worked or would like to work for others, showed the greatest entrepreneurial potential (Yes M= 0.60; No 0.54; p < 0.000), along with those who participated in entrepreneurial contents during their training (Did not participate M= 0.53; Participated 0.58; p < 0.000). Conclusions The entrepreneurial profile is related with some social demographic characteristics of the students; however, the educational institutions may have a preponderant role in the development of that profile, which may contribute to a greater contribution in the wellbeing of the populations.

Entrepreneurial Motivations Questionnaire: AFC and CFA in academy.

Background Entrepreneurship has been considered essential to create value, being a powerful driver of economic and social development. Academy must invest in the development of entrepreneurial skills in students ("Entrepreneurial Academy"). Objective: To analyse the psychometric proprieties of the EMQ-Entrepreneurial Motivations Questionnaire. Methods Sample: 6,532 students from 17 polytechnic Institutes of Portugal. Measure: EMQ, composed by measures of Entrepreneurial motives for the business, Entrepreneurial influences, and Support Services. Results Exploratory factor analysis (EFA) for Entrepreneurial-Motives-for-thebusiness (KMO = .921, X2 = 54387.94, p < .001) extracted 4 factors, explaining 53.81 % of variance (EV): F1-Family security (19.92 % EV; M= 4.07, SD = 0.67), F2-Prestige (14.60 % EV; M= 3.25, SD = 0.75), F3- Independence (13.13 % EV; M= 3.33, SD = 0.75), and F4-Realization of an opportunity (11.15 % EV; M= 4.08, SD = 0.56). This factorial structure was supported by Confirmatory factor analysis (CFA), with an acceptable fit: RMSEA = .084. EFA of Entrepreneurial-Influences (KMO = .916, X2 = 60584.93, p < .001), extracted 4 factors, EV 60.08 %: F1-Resources availability (21.25 % EV; M= 3.86, SD = 0.68), F2-Stable customers and incentives (19.70 % EV; M= 3.82, SD = 0.65), F3-Social and economic instability (11.11 % EV; M= 2.96, SD = 1.06), and F4-Opportunities in the sector and residence area (8.03 % EV; M= 3.29, SD = 0.95). This factorial structure was supported by CFA, with an acceptable fit: RMSEA = .073. EFA of Support-Services (KMO = .995, X2 = 57311.43, p < .001) extracted 2 factors, EV 58.43 %: F1-Financial support (32.59 % EV; M= 3.93, SD = 0.69) and F2-Prestige (25.84 % EV; M= 3.95, SD = 0.65). This factorial structure was supported by CFA, with an acceptable fit: RMSEA = .090. The health group showed scores mostly above global average in factors. Conclusions EMQ showed adequate psychometric properties. The instrument is useful for measuring entrepreneurships motivations in health.