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Influence of personal variables on entrepreneurial intention: A comparative study between Poland and Spain Cover

Influence of personal variables on entrepreneurial intention: A comparative study between Poland and Spain

Open Access
|Apr 2019

Figures & Tables

Fig . 1

Theoretical model

Tab. 1

Description of the sample

GenderCountryTotal
SpainPoland
Male144175319 (44.24%)
Female195207402 (55.76%)
Total339 (47.02%)382 (52.98%)N=721
Tab. 2

Valuations, Load (λ), compound reliability (FC) and average extracted variance (AVE)

VARIABLEITEM[%]LOAD ΛFCAVE
VAVA1: I value entrepreneurship as an alternative to employment76.700.8670.8440.730
VA2: I value entrepreneurship because it allows growth77.980.842
ATAT1: Entrepreneurship has more advantages than disadvantages78.360.8060.7940.659
AT2: I am in favour of entrepreneurship and the creation of companies89.680.817
MOMO1: I would be motivated to be an entrepreneur82.660.9160.8880.798
MO2: It would moitvate me to be an entrepreneur to achieve autonomy80.640.870
SESE1: I think I would succeed if I created a company73.430.8810.8970.813
SE2: I have confidence in myself to start a business74.920.922
EIEI1: I intend to be an entrepreneur68.880.9460.9420.890
EI2: In the future, I think I have my own company72.120.942

[i] VA: values, AT: attitude, MO: motivation, SE: self-efficiency, EI: entrepreneurial intention

Tab. 3

Discriminant validity (Fornell and Larcker criteria)

VAATMOSEEI
VA0.855
AT0.4470.812
MO0.4310.4450.893
SE0.2570.3840.5120.902
EI0.2650.3310.5400.6880.944
Tab. 4

Direct relationships and their significance (β)

HYPOTHESIS(B)TPCONFIRM.
H1: VA → AT0.44714.3880.000Yes
H2: AT →MO0.44512.5150.000Yes
H3: MO → SE0.51217.9730.000Yes
H4: SE → EI0.68837.1140.000Yes
Tab. 5

Indicators R2, Q2 and GoF

R2AVEQ2
AT0.2000.6590,124
MO0.1980.7980,148
SE0.2630.8130,201
EI0.4730.8900,396
Media0.2840.790
GoF0.474
Tab. 6

Discriminant analysis. Basic indicators

AUTO- VALUECANONI- CAL COR- RELATIONLAMBDA WILKSSIG.CENTROIDS
SPAINPOLAND
0.9180.6920.5210.000-1.0150.901
Tab. 7

Discriminant analysis. Standardised coefficients (SC)

CONSTRUCTITEMSSC
VAVA10.051
VA2-0.186
ATAT10.124
AT2-0.174
MOMO10.218
MO20.277
SESE1-0.091
SE20.097
EIEI1-0.817
EI2-0.205
Tab. 8

PLS-GMA Analysis

HYPOTHESISSPAIN PATH (B)POLAND PATH (Β)DIF. PATH (Β)P VALUES
H1: VA → AT0.4530.4360.0170.388
H2: AT →MO0.4750.4210.0540.229
H3: MO → SE0.4950.4570.0380.278
H4: SE → EI0.7030.6410.0620.054
DOI: https://doi.org/10.2478/emj-2019-0005 | Journal eISSN: 2543-912X (formerly 2300-0813) | Journal ISSN: 2543-6597
Language: English
Page range: 68 - 79
Submitted on: Jan 28, 2019
Accepted on: Mar 25, 2019
Published on: Apr 24, 2019
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services

© 2019 José Alberto Martínez González, Urszula Kobylińska, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.