Leadership in Romanian Small to Medium Enterprises

Crăciun, Liliana; Năstase, Marian; Stamule, Tănase; Vizitiu, Cristian

doi:10.3390/su7044183

Cited by 11 publications

(10 citation statements)

References 20 publications

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“…Factor analysis aims at grouping large number of items based on covariance and correlation in subsets, which are called factors. The items within a factor should be strongly correlated between each other, while the resulting factors are relatively independent of one another (Craciun et al, 2015). In our case, after running the factor analysis, resulted five factors-determinants of quality internship programmes, which represented also the independent variables which were used in the regression model depicted in the present paper.…”

Section: Methodsmentioning

confidence: 90%

A plea for quality in internship programmes – evidence from the business and administration students’ experience

Goia

Marinaș

Igreț

2017

Management &Amp; Marketing

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The career of business students is nowadays definitely influenced by their involvement in different internships and volunteering activities. The internship programmes help them understand the context of business organisations and decide what field of activity is most suitable for their professional life. However, sometimes internship programmes are not very well organised and influence in a negative manner students′ final perception of a certain domain. Our research identified and analysed the main factors that might influence the quality of an internship programme from students′ perspective. The quantitative analysis relies on a questionnaire based survey among over 450 students from one of the most prestigious universities in Romania in the field of economics and business administration. By running factor analysis, we identified five factors which mainly determine the quality of internships: Job arrangements, Mentorship and employability benefits, Learning content, Academic supervision, Bureaucracy and accessibility. Subsequently we measured through multiple regression the way the identified factors influence the quality of the internships. We consider that the results of the study are relevant not only for academics but also for students and business organisations that have the power and instruments to improve internship programmes and the entire experience for all stakeholders involved.

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Section: Methodsmentioning

confidence: 90%

A plea for quality in internship programmes – evidence from the business and administration students’ experience

Goia

Marinaș

Igreț

2017

Management &Amp; Marketing

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“…Another statistical instrument employed in relation with FA represented by the Cronbach's alpha coefficients. Originally intended for social studies based on surveys where the answer to each question follows a finite-range Likert scale, Cronbach's alpha is the most common measure of a scale's internal consistency (Tabachnick and Fidell 2007;Craciun et al, 2015). In our case, we have rescaled all KE indices within the interval [0, 1], so Cronbach's alpha coefficients were computed for each of the two resulting factors, in order to determine whether the scale used is reliable with respect to the items composing each factor.…”

Section: Research Methodology and Resultsmentioning

confidence: 99%

The geographic distribution of Knowledge Economy (KE) within the European Union (EU)

Hadad

2018

Management &Amp; Marketing

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The business environment is reshaped by knowledge economy which has taken both competitiveness and doing business to a whole new level. Because knowledge economy plays a key role in the creation of welfare it has been classified as an important reliable indicator for comparing world’s economies. The present paper highlights the geographic distribution of knowledge economy at the level of the European Union by means of factorial analysis. Factor analysis, a well-known statistical clustering technique, has been applied on the 28 EU countries (seen in our study as random variables) with an a priori fixed number of two factors. On each variable, the realisations are given by the scores (normalized between 0 and 1) registered for year 2012 on 12 key Knowledge Economy (KE) indices. The resulting factor structure is compared to the standard geographical grouping of EU countries (NorthWest-SouthEast) in present KE literature. SPSS software has been used for the statistical analysis. The highest correlations attained were in terms of the Global Competitiveness Index, World Happiness Index, R&D expenses signifying that they could also act as predictors in evaluating the status of the knowledge economy of a particular country, whereas weaker correlations can be spotted for enterprises selling online, electric energy consumption, carbon dioxide emissions and others. In the future, the same relationship can be tested to see whether the influences have changed, in the light of new available data.

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“…In order for the proposed model of sustainable competitiveness of health organizations to be extrapolated at the country level, in the next stage of our research we will consider: (1) replication of the study on a nationally-representative sample (in terms of both the number of respondents and their geographical distribution); (2) improvement of the model by introducing other variables; (3) validation of research instruments using confirmatory factor analysis. As concerns the generalizability of this paper's findings, we doubt that the same four-dimension structure would emerge from factor analysis if applying the same research instrument to a population with different socio-cultural characteristics, under the influence of different economic factors [38,39].…”

Section: Discussionmentioning

confidence: 99%

Towards a Model of Sustainable Competitiveness of Health Organizations

Ștefan¹,

Popa²,

Dobrin³

2016

Sustainability

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Over the last decades, around the world, the concept of competitiveness was long debated by economists (and others), widely used and even sometimes overused. Although at the theoretical level, a number of determinant factors of health care organizations' competitiveness have been proposed, their diversity and the little empirical data available argues for the need to create and validate a model of competitiveness of health organizations. The purpose of this paper is (considering the theoretical approach) to shape a model of sustainable competitiveness of health organizations. In this respect, a 51 item questionnaire was designed and applied on a sample of 291 respondents from 12 Romanian health organizations. The exploratory factor analysis undertaken recovered more than 69% of the common variability of the initial 51 variables and revealed four factors/dimensions of sustainable competitiveness of health organizations (Economic Dimension, Quality Dimension, Social Dimension, and Strategic Dimension). Among the results of the exploratory factor analysis is also the empirical evidence on the contribution of leadership and managerial processes to enhance the influence of all other factors/dimensions in increasing the sustainable competitiveness of health organizations, thus bringing into focus the concept of sustainable management and leadership. Being just in the exploratory phase of our research, the proposed model can, and should, be improved, thus opening up further research directions.

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Leadership in Romanian Small to Medium Enterprises

Cited by 11 publications

References 20 publications

A plea for quality in internship programmes – evidence from the business and administration students’ experience

A plea for quality in internship programmes – evidence from the business and administration students’ experience

The geographic distribution of Knowledge Economy (KE) within the European Union (EU)

Towards a Model of Sustainable Competitiveness of Health Organizations

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