scholarly journals Entrepreneurial Profiles at the University: A Competence Approach

2020 ◽  
Vol 11 ◽  
Author(s):  
Sofía Louise Martínez-Martínez ◽  
Rafael Ventura
Keyword(s):  
Social Capital ◽  
Human Capital ◽  
Social Skills ◽  
Methodological Approach ◽  
Field Research ◽  
Entrepreneurial University ◽  
Low Profile ◽  
Key Competences ◽  
The University ◽  
Entrepreneurial Human Capital

The Entrepreneurial University plays a central role in entrepreneurial ecosystems and actively influences the development of entrepreneurial human capital, which is a critical asset for many economies. There is thus a requirement for the identification and strengthening of entrepreneurial competences, but no previous studies have included any analysis of these competences in the university context using an approach based on profiles. The present study fills this gap by investigating the existence of different entrepreneurial profiles among students, based on their competences. It also defines key competences that are critical for differentiating between these profiles and improving entrepreneurial competence levels more generally. To meet these objectives, a field research campaign was developed. Data on 1104 students from various degrees and faculties were collected and analyzed using a quantitative methodological approach. The results reveal the existence of four entrepreneurial competence profiles, namely low profile, top profile, social profile, and grit profile. Among as many as 12 possible entrepreneurial competences, the most prominent can explain to a large extent the entrepreneurial profiles of students; these are networking and professional social skills, community engagement, perseverance of effort, and consistency of interest. The results provide evidence of the importance of social capital and grit. In addition to their contribution to the theory in this area and the development of the Entrepreneurial University paradigm, the results are also useful for the design of training strategies aimed at strengthening the levels of competence of students, thereby providing universities with tools to foster the creation of entrepreneurial human capital.

scholarly journals The Interregional Migration of Human Capital: The Case of “First-Class” University Graduates in China

2021 ◽  
Author(s):  
Can Cui ◽  
Yifan Wang ◽  
Qiang Wang
Keyword(s):  
Human Capital ◽  
Regional Development ◽  
Negative Binomial ◽  
Driving Forces ◽  
University Graduates ◽  
Highly Educated ◽  
Positive Effects ◽  
Urban Amenities ◽  
Second Tier ◽  
The University

AbstractHuman capital has been acknowledged as a key driver for innovation, thereby promoting regional economic development in the knowledge era. University graduates from China’s “first-class” universities—the top 42 universities, included in the “double first-class” initiative, are considered highly educated human capital. Their migration patterns will exert profound impacts on regional development in China, however, little is known about the migration of these elite university graduates and its underlying driving forces. Using data from the 2018 Graduate Employment Reports, this study reveals that the uneven distribution of “first-class” universities and regional differentials largely shaped the migration of graduates from the university to work. Graduates were found aggregating in eastern first-tier cities, even though appealing talent-orientated policies aimed at attracting human capital had been launched in recent years by second-tier cities. Employing negative binomial models, this study investigates how the characteristics of the city of university and destinations affect the intensity of flows of graduates between them. The results showed that both jobs and urban amenities in the university city and destination city exert impacts on the inflow volume of graduates; whereas talent attraction policies introduced by many second-tier cities are found not to exert positive effects on attracting “first-class” university graduates presently. The trend of human capital migration worth a follow-up investigation, particularly given ongoing policy dynamics, and would shed light on the regional development disparities in China.

scholarly journals Social capital and economic growth in the regions of Europe

2021 ◽  
pp. 0308518X2110000
Author(s):  
Jonathan Muringani ◽  
Rune D Fitjar ◽  
Andrés Rodríguez-Pose
Keyword(s):  
Economic Growth ◽  
Social Capital ◽  
Human Capital ◽  
European Social Survey ◽  
Knowledge Flows ◽  
Regional Economic Growth ◽  
Lower Growth ◽  
Regional Economic ◽  
Bonding Social Capital ◽  
Bridging Social Capital

Social capital is an important factor explaining differences in economic growth among regions. However, the key distinction between bonding social capital, which can lead to lock-in and myopia, and bridging social capital, which promotes knowledge flows across diverse groups, has been overlooked in growth research. In this paper, we address this shortcoming by examining how bonding and bridging social capital affect regional economic growth, using data for 190 regions in 21 EU countries, covering eight waves of the European Social Survey between 2002 and 2016. The findings confirm that bridging social capital is linked to higher levels of regional economic growth. Bonding social capital is highly correlated with bridging social capital and associated with lower growth when this is controlled for. We do not find significantly different effects of bonding social capital in regions with more or less bridging social capital, or vice versa. We examine the interaction between social and human capital, finding that bridging social capital is fundamental for stimulating economic growth, especially in low-skilled regions. Human capital also moderates the relationship between bonding social capital and growth, reducing the negative externalities imposed by excessive bonding.

University Graduates’ Employability, Employment Status, and Job Quality

2016 ◽  
Vol 45 (2) ◽  
pp. 132-149 ◽  
Author(s):  
Vicente González-Romá ◽  
Juan Pablo Gamboa ◽  
José M. Peiró
Keyword(s):  
Job Satisfaction ◽  
Social Capital ◽  
Employment Status ◽  
Job Quality ◽  
Hierarchical Level ◽  
University Graduates ◽  
Career Identity ◽  
Human And Social Capital ◽  
The University

We investigated whether a set of indicators of the employability dimensions proposed by Fugate, Kinicki, and Asforth (i.e., career identity, personal adaptability, and human and social capital) are related to university graduates’ employment status and five indicators of the quality of their jobs (pay, hierarchical level, vertical and horizontal match, and job satisfaction). We analyzed a representative sample of university graduates ( N = 7,881) from the population of graduates who obtained their degree from the University of Valencia in the period 2006–2010. The results showed that indicators of human and social capital were related to employment status, whereas indicators of human and social capital and career identity were related to distinct job quality indicators. These results support the validity of the conceptual model proposed by Fugate et al. to investigate employability in samples of university graduates.

scholarly journals A case study of university student networks and the COVID-19 pandemic using a social network analysis approach in halls of residence

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
José Alberto Benítez-Andrades ◽  
Tania Fernández-Villa ◽  
Carmen Benavides ◽  
Andrea Gayubo-Serrenes ◽  
Vicente Martín ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
University Students ◽  
Methodological Approach ◽  
Centrality Measures ◽  
Structural Behaviour ◽  
Cross Sectional ◽  
Depth Analysis ◽  
The University

AbstractThe COVID-19 pandemic has meant that young university students have had to adapt their learning and have a reduced relational context. Adversity contexts build models of human behaviour based on relationships. However, there is a lack of studies that analyse the behaviour of university students based on their social structure in the context of a pandemic. This information could be useful in making decisions on how to plan collective responses to adversities. The Social Network Analysis (SNA) method has been chosen to address this structural perspective. The aim of our research is to describe the structural behaviour of students in university residences during the COVID-19 pandemic with a more in-depth analysis of student leaders. A descriptive cross-sectional study was carried out at one Spanish Public University, León, from 23th October 2020 to 20th November 2020. The participation was of 93 students, from four halls of residence. The data were collected from a database created specifically at the university to "track" contacts in the COVID-19 pandemic, SiVeUle. We applied the SNA for the analysis of the data. The leadership on the university residence was measured using centrality measures. The top leaders were analyzed using the Egonetwork and an assessment of the key players. Students with higher social reputations experience higher levels of pandemic contagion in relation to COVID-19 infection. The results were statistically significant between the centrality in the network and the results of the COVID-19 infection. The most leading students showed a high degree of Betweenness, and three students had the key player structure in the network. Networking behaviour of university students in halls of residence could be related to contagion in the COVID-19 pandemic. This could be described on the basis of aspects of similarities between students, and even leaders connecting the cohabitation sub-networks. In this context, Social Network Analysis could be considered as a methodological approach for future network studies in health emergency contexts.

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