Grade point average vs competencies: which are most influential for employability?

2019 ◽  
Vol 9 (3) ◽  
pp. 418-433
Author(s):  
Maria Jesus Freire-Seoane ◽  
Carlos Pais-Montes ◽  
Beatriz Lopez-Bermúdez
Keyword(s):  
Grade Point Average ◽  
Soft Skills ◽  
Probit Model ◽  
Positive Influence ◽  
Grade Point ◽  
Content Type ◽  
Individual Level ◽  
Generic Competencies ◽  
Job Finding ◽  
European University

Purpose The purpose of this paper is to measure the combined influence that soft skills and Graduate Point Average (GPA) achievements have on the employability of higher education (HE) graduates, and the possible mitigating effects that score attainments have on some ex ante issues, like the gender asymmetries existing in labour market, or the great difference between some knowledge fields, regarding their unemployment rates. Design/methodology/approach The methodology used is a probit model, performed on a sample of 1,054 HE graduates, coming from a middle-sized European university. Findings The results show: a clear positive influence of the GPA on job finding odds; that some generic competencies improve this probabilities but another ones act as penalties; and that GPA and systemic competencies enhancement initiatives (at an individual level or at HE policy institutions level) could act as attenuators for the gender inequality or for the low recruitment perspectives existing on some knowledge fields like humanities or social sciences. Originality/value A wide scientific literature can be currently found on generic competencies and their influence on the employability odds, but the results regarding GPA attainments are still too heterogeneous and scarcely explored. On the other hand, there’s a non-solved controversy in the literature about the influence of the GPA results on the odds that a HE graduate has to obtain a job: do GPA signal correctly the best candidates? Do current employers prefer competencies scores over GPA attainments? This paper will contribute to clarify these questions.

Business simulation and assurance of learning

2019 ◽  
Vol 27 (4) ◽  
pp. 412-426 ◽  
Author(s):  
Jeffrey W. Alstete ◽  
Nicholas J. Beutell
Keyword(s):  
Grade Point Average ◽  
Business Students ◽  
Future Research ◽  
Grade Point ◽  
Content Type ◽  
Capstone Course ◽  
Simulation Performance ◽  
Course Grades ◽  
Assurance Of Learning ◽  
Core Course

Purpose This study aims to consider assurance of learning among undergraduate business students enrolled in capstone business strategy courses using the GLO-BUS competitive simulation. Gender, academic major and business core course performance were examined. Design/methodology/approach Participants were 595 undergraduate capstone business students from 21 course sections taught over a four-year period. Variables included learning assurance measures, simulation performance, gender, major, business core course grades, capstone course grade and cumulative grade point average. Correlations, linear regression, multiple regression and multivariate analysis of variance (MANOVA) were used to analyze the data. Findings Learning assurance report scores were strongly related to simulation performance. Simulation performance was related to capstone course grade, which, in turn, was significantly related to the grade point average (GPA). Core business courses were related to learning assurance and performance indicators. Significant differences for gender and degree major were found for academic performance measures. Women and men did not differ in simulation performance. Research limitations/implications Limitations include the use of one simulation (GLO-BUS) and studying students at one university taught by one professor. Assurance of learning measures needs further study as factors in business program evaluation. Future research should analyze post-graduate performance and career achievements in relation to assurance of learning outcomes. Originality/value This study conducts empirical analyses of simulation learning that focuses entirely on direct measures, including student characteristics (gender, major), learning assurance measures, business core course grades, capstone course grades and student GPAs.

How does cluster location and intellectual capital impact entrepreneurial success within high-growth firms?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yama Temouri ◽  
Vijay Pereira ◽  
Glenn W. Muschert ◽  
Vikash Ramiah ◽  
Michael Babula
Keyword(s):  
Knowledge Management ◽  
Intellectual Capital ◽  
High Growth ◽  
Probit Model ◽  
Positive Influence ◽  
Research Model ◽  
Entrepreneurial Success ◽  
Content Type ◽  
Cluster Membership ◽  
Growth Firms

PurposeThe purpose of this paper is to examine the role of intellectual capital and knowledge management in the entrepreneurial success of firms through a research model which is subsequently tested empirically.Design/methodology/approachThe paper utilises the knowledge-based perspective to formulate three sets of hypotheses which the authors subsequently test in the empirical analysis on data derived from the Orbis database, which includes over 1-million data points from approximately 240,000 firms across 174 geographic subdivisions of economic regions in 14 European countries, from 2010 to 2013. The analysis utilises probit model regressions on the likelihood of becoming a high-growth firms (HGF), in the presence of a number of control factors including firm age, firm size, tangible assets, foreign ownership, competitiveness (via Herfindahl index), return on assets, industry sector and country location.FindingsFindings from our analysis suggest that investments in intangible assets and generating patents from research and development (R&D) efforts is positively related to the likelihood of becoming a HGF. In addition, cluster membership seems to be a positive influence on becoming a HGF, however the moderating impact of intangible investments and patents is less clear in clusters.Research limitations/implicationsThe authors highlight the mixed effects from cluster membership and the beneficial impact from intellectual capital and knowledge management in achieving high growth firm status.Originality/valueThe authors derive and test our research model, which outlines the interrelationship of the various factors leading to firms becoming high-growth firms. The results suggest that there may be further fruitful ground for future investigation in the intersections of knowledge management and intellectual capital concepts within entrepreneurial contexts.

An expanded value of college GPA in recruitment? As related to US organizations

2017 ◽  
Vol 31 (2) ◽  
pp. 13-15
Author(s):  
Paul Lyons ◽  
Randall Bandura
Keyword(s):  
Work Environment ◽  
Grade Point Average ◽  
Broad Spectrum ◽  
Design Methodology ◽  
Past Research ◽  
Employee Behavior ◽  
Grade Point ◽  
Content Type ◽  
Supervisor Ratings ◽  
Key Points

Purpose The aim of this paper is to offer a viewpoint that grade point average (GPA) does more than generally predict success on the job; it also helps predict whether a recruit or employee has a tendency to engage in voluntary, helpful behavior in the service of co-workers and the organization. If GPA helps predict both job success or performance, and one’s predisposition to freely offer helpful behavior in the work environment, then the GPA metric has increased value. Design/methodology/approach A review of recent and past research demonstrates that voluntary, helpful behavior on the job, adjunct to competent performance of required tasks, results in desirable consequences for the organization, co-workers and the employee. A summary of key points of several studies and some details of a recent study makes clear the link between GPA and helpful behavior. Findings Supervisor ratings and two brief surveys have been found to correlate positively and significantly with voluntary, helpful employee behavior. The same surveys also correlate positively and significantly with collegiate GPA. Originality/value The combination of metrics identified in this paper is rarely studied or used. The surveys, in particular, may assist recruiters and managers to identify employee value across a broad spectrum of performance.

scholarly journals Ownership influence and CSR disclosure in China

2018 ◽  
Vol 31 (1) ◽  
pp. 8-21 ◽  
Author(s):  
Yuan Yuan Hu ◽  
Yanhui Zhu ◽  
Jon Tucker ◽  
Yuxiao Hu
Keyword(s):  
Institutional Investors ◽  
Probit Model ◽  
Positive Influence ◽  
Ownership Type ◽  
Content Type ◽  
Corporate Managers ◽  
Chinese Firm ◽  
Csr Disclosure ◽  
Stakeholder Salience Theory ◽  
Csr Engagement

Purpose This paper aims to examine the relationship between ownership type and the likelihood of publication of a corporate social responsibility (CSR) report. Design/methodology/approach Drawing on stakeholder salience theory, the probit model is used for a sample of 1,839 Chinese listed firms to study how different types of owners influence firm CSR engagement. Findings The analysis reveals that the Chinese stock exchanges exert a positive influence on the likelihood of a firm producing a CSR report, an effect which is more significant in state-owned enterprises (SOEs). Foreign investors lead to a greater likelihood of publication of a CSR report, though this effect is weaker in SOEs. In contrast, the holdings of state and domestic institutional investors are broadly neutral. Practical implications The study helps corporate managers to recognise how particular types of shareholders will value their efforts regarding CSR activities and disclosure and also assists policymakers in improving the level of CSR disclosure through the development of new policy. Social implications Apposite CSR disclosure enhances trust and facilitates the shared values on which to build a more cohesive society. Originality/value The novelty of this study is that it addresses the effect of institutional investors on Chinese firm CSR engagement and thus provides an important insight for firms, investors and other stakeholders into the interplay of portfolio investment and CSR.

Impact of academic libraries on grade point average (GPA): a review

2020 ◽  
Vol 22 (1) ◽  
pp. 71-85
Author(s):  
Elizabeth A. Sterner
Keyword(s):  
Student Success ◽  
Grade Point Average ◽  
Academic Libraries ◽  
Relevant Literature ◽  
Academic Librarians ◽  
Academic Impact ◽  
Grade Point ◽  
Content Type ◽  
Student Privacy ◽  
The Impact

PurposeThe purpose of this paper is to examine the literature to determine how academic librarians are measuring their libraries' institutional level impact on student success as measured by grade point average, a metric commonly used in American education. This paper highlights a range of methods, outcomes and challenges in an initial scoping study.Design/methodology/approachThe methodology centered on a literature review of measuring the impact of academic libraries on student success as quantified by grade point average (GPA) from 2010 to present. Searches in ProQuest, EBSCO and Google Scholar were used to identify the relevant literature. Keywords searched in databases included various combinations of academic impact, student success, learning outcomes, library and higher education.FindingsThe analysis of 15 papers shows that academic librarians have demonstrated a small, nonnegligible positive correlation of library usage on GPA. The results of studies have highlighted that correlation does not prove the cause. Concerns and limitations of studies included using the GPA as a measurement of student success, differences between GPAs in subject areas, timeframes used, sample size collected, student privacy and the meanings of the results.Research limitations/implicationsThis study is limited to articles published in English measuring student success as quantified by GPA and focuses heavily on American sources.Originality/valueThe research can guide librarians through known challenges and highlight successful designs and study methods used by other academic librarians to measure the impact of the library on student success.

Mining library and university data to understand library use patterns

2015 ◽  
Vol 33 (3) ◽  
pp. 355-372 ◽  
Author(s):  
John Renaud ◽  
Scott Britton ◽  
Dingding Wang ◽  
Mitsunori Ogihara
Keyword(s):  
Data Mining ◽  
Grade Point Average ◽  
Research Team ◽  
Data Sets ◽  
User Privacy ◽  
Grade Point ◽  
Content Type ◽  
Use Patterns ◽  
Library Use ◽  
Cross Education

Purpose – Library data are often hard to analyze because these data come from unconnected sources, and the data sets can be very large. Furthermore, the desire to protect user privacy has prevented the retention of data that could be used to correlate library data to non-library data. The research team used data mining to determine library use patterns and to determine whether library use correlated to students’ grade point average. Design/methodology/approach – A research team collected and analyzed data from the libraries, registrar and human resources. All data sets were uploaded into a single, secure data warehouse, allowing them to be analyzed and correlated. Findings – The analysis revealed patterns of library use by academic department, patterns of book use over 20 years and correlations between library use and grade point average. Research limitations/implications – Analysis of more narrowly defined user populations and collections will help develop targeted outreach efforts and manage the print collections. The data used are from one university; therefore, similar research is needed at other institutions to determine whether these findings are generalizable. Practical implications – The unexpected use of the central library by those affiliated with law resulted in cross-education of law and central library staff. Management of the print collections and user outreach efforts will reflect more nuanced selection of subject areas and departments. Originality/value – A model is suggested for campus partnerships that enables data mining of sensitive library and campus information.

scholarly journals Local governance, corruption, and public service quality: evidence from a national survey in Vietnam

2017 ◽  
Vol 30 (2) ◽  
pp. 137-153 ◽  
Author(s):  
Thang V. Nguyen ◽  
Thang N. Bach ◽  
Thanh Q. Le ◽  
Canh Q. Le
Keyword(s):  
Service Quality ◽  
Public Service ◽  
Transition Economy ◽  
Local Governance ◽  
Probit Model ◽  
Cross Sectional ◽  
Content Type ◽  
Individual Level ◽  
Highly Correlated

Purpose The purpose of this paper is to examine whether higher levels of transparency, accountability, and participation have a statistically significant association with corruption, and whether corruption is highly correlated with lower public service quality in the context of Vietnam’s transition economy. Design/methodology/approach Using individual-level survey data from Vietnam Provincial Governance and Public Administration Performance Index, the research employs an ordered probit model to test whether greater transparency, accountability, and participation is associated with lower levels of corruption. Moreover, district-level data are used to test the relationship between corruption and quality of public services particularly in healthcare and primary education. Findings Results show that a higher level of transparency, participation, and accountability is associated with a lower level of corruption, and that corruption is negatively associated with public service quality. Research limitations/implications The use of cross-sectional data does not allow the establishment of causal relationships among variables. Practical implications The research suggests that fostering accountability to citizens and non-state sectors and promotion of genuine participation from these actors are critical for the future anti-corruption agenda. Originality/value In developing countries, whether corruption enhances efficiency of service provision is highly debatable. This research contributes to this debate by suggesting that corruption significantly decreases the quality of public service, and that improving local governance helps reduce corruption.

scholarly journals A Fractional Grey Multivariable Model for Modeling Fresh Graduates’ Career Choice

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiaoen Yang ◽  
Taiming Cui ◽  
Minghuan Shou
Keyword(s):  
Grade Point Average ◽  
Positive Influence ◽  
The Other ◽  
Grey Model ◽  
Specific Information ◽  
Traditional Model ◽  
Multivariable Model ◽  
Negative Effects ◽  
Grade Point ◽  
Positive Effect

Aiming at exploring the effect of four factors on fresh graduate’s three popular career choices of continuing studying, working in state-owned enterprises, and working in private enterprises, this paper collects the specific information of 3237 students and builds the GM (0, N) model. The four variables include student’s grade point average (GPA), socioeconomic status (SES), gender, and whether the student comes from an urban household. Furthermore, this paper also considers the effect of the fractional order and proposes a fractional grey model (FGM (0, N) model) to enhance the performance of the traditional model. Eventually, the study finds that there are still some students with financial problems, which makes some negative effects on their choices of continuing studying and working in state-owned enterprises. Additionally, all the other three factors show the positive influence on the three choices. Besides, GPA shows the most positive effect on the choices of continuing studying as well as working in a state-owned enterprise; gender and SES have the greatest impact on the choice of working in a private enterprise.

scholarly journals Personality traits and intrapreneurial behaviour

2020 ◽  
Vol 14 (1) ◽  
pp. 31-46 ◽  
Author(s):  
Muhammad Zubair Alam ◽  
Shazia Kousar ◽  
Aiza Shabbir ◽  
Muhammad Ali Kaleem
Keyword(s):  
Competitive Advantage ◽  
Personality Traits ◽  
Structural Equation ◽  
Group Analysis ◽  
Positive Influence ◽  
Content Type ◽  
Individual Level ◽  
The Impact ◽  
The Relationship ◽  
Structured Questionnaire

Purpose Intrapreneurship is rapidly concerning organizations to tailor their operations and strategies for competitive advantage. Research on intrapreneurial dimensions is in the developing stage, requiring more rigorous methods of investigation and application in various contexts. This study aims to focus on individual level intrapreneurship by examining the association of personality traits (PTs) on intrapreneurial behaviour (IB) moderated by knowledge sharing behaviour (KSB) and comparison of employees in engineering and functional departments. Design/methodology/approach A survey has been conducted for data collection using a structured questionnaire. Partial least squares structural equation modelling has been used for hypotheses testing, moderation and multi-group analysis on a sample of 534 respondents. Findings Results reveal that PTs exerted a positive influence on IB. The impact of PTs on IB was more pronounced in the employees of functional departments. KSB moderates positively in the relationship between PTs and IB. Both groups significantly differ in dimensions of PTs. Practical implications Organizations can do little to improve PTs of employees, which impacts on intrapreneurship in organizations. However, KSB in organizations can be improved by adopting various measures. KSB eventually promotes innovation in organizations resulting in an overall competitive advantage for firms. Originality/value This is the first study that contributes theoretically in intrapreneurship literature by providing insights on PTs impacting IB incorporating KSB and comparing the diverse group of employees.

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