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Exploring the Multidimensional Effects of Entrepreneurship Education on Entrepreneurial Intention Among Students in Algerian University Incubators Cover

Exploring the Multidimensional Effects of Entrepreneurship Education on Entrepreneurial Intention Among Students in Algerian University Incubators

Open Access
|Sep 2026

Figures & Tables

Figure 1.

Conceptual model of the study

Source: own processing

Table 1.

Measurement scales

Construct (code)BlockItemsScale
Know-What (KWT)Entrepreneurship Education51–7 Likert
Know-Why (KWY)Entrepreneurship Education51–7 Likert
Know-Who (KWO)Entrepreneurship Education51–7 Likert
Know-How (KHW)Entrepreneurship Education51–7 Likert
Attitude (ATT)TPB51–7 Likert
Subjective Norms (SN)TPB71–7 Likert
Perceived Behavioral ControlTPB81–7 Likert
Entrepreneurial Intention (EI)TPB61–7 Likert

[i] Source: own processing

Table 2.

Demographic profile of respondents (n = 316)

VariableCategoryN%
GenderMale11837.3
Female19862.7
Age15–24 years23072.8
25–39 years7724.4
40–55 years82.5
Over 55 years10.3
Marital statusSingle28991.5
Married257.9
Divorced/Separated20.6
Widowed00.0
Academic levelFirst-year Bachelor’s (L1)41.3
Second-year Bachelor’s (L2)216.6
Third-year Bachelor’s (L3)5918.7
First-year Master’s (M1)278.5
Second-year Master’s (M2)20063.3
PhD candidate51.6
Field of studyEconomics, Business and Management12940.8
Technology6319.9
Natural and Life/Earth Sciences319.8
Humanities and Social Sciences288.9
Sciences227.0
Language and Literature185.7
Law and Political Science144.4
Medicine113.5
Total316100.0

[i] Source: own processing

Table 3.

Outer loadings of the retained indicators

ConstructIndicatorOuter loading
Attitude (ATT)ATT10.859
ATT20.904
ATT30.891
ATT40.704
Entrepreneurial Intention (EI)EI10.832
EI20.898
EI30.871
EI40.856
EI50.829
Know-What (KWT)KWT10.809
KWT20.880
KWT30.802
KWT40.856
KWT50.804
Know-Why (KWY)KWY10.800
KWY20.820
KWY30.809
KWY40.847
KWY50.856
Know-Who (KWO)KWO10.825
KWO20.860
KWO30.848
KWO40.780
KWO50.816
Know-How (KHW)KHW10.852
KHW20.889
KHW30.856
KHW40.812
KHW50.831
Perceived Behavioral Control (PBC)PBC10.766
PBC20.881
PBC30.883
PBC40.735
Subjective Norms (SN)SN10.888
SN20.899
SN30.910

[i] Source: own processing based on SmartPLS 4.1.1.8 output

Table 4.

Construct reliability and convergent validity

ConstructCronbach’s αrho_arho_cAVE
ATT0.8620.8820.9070.711
EI0.9100.9100.9330.736
KWT0.8880.8970.9170.690
KWY0.8840.8870.9150.683
KWO0.8840.8880.9150.683
KHW0.9030.9040.9280.720
PBC0.8380.8860.8900.670
SN0.8830.8950.9270.809

[i] Source: own processing based on SmartPLS 4.1.1.8 output

Table 5.

Fornell–Larcker criterion

ConstructATTEIKHWKWTKWOKWYPBCSN
ATT0.843
EI0.7140.858
KHW0.6320.5620.849
KWT0.5120.5160.6870.831
KWO0.6040.5920.6470.6230.826
KWY0.6600.6410.6590.7000.7110.827
PBC0.5440.5980.4730.3660.4070.4490.819
SN0.4220.4320.2980.2970.4480.3840.3700.899

[i] Source: own processing based on SmartPLS 4.1.1.8 output

Table 6.

Heterotrait–monotrait ratio (HTMT)

ConstructATTEIKHWKWTKWOKWYPBC
EI0.799
KHW0.7130.617
KWT0.5770.5660.764
KWO0.6830.6560.7170.697
KWY0.7480.7130.7360.7870.799
PBC0.6200.6500.5290.4090.4450.499
SN0.4800.4740.3340.3300.5020.4300.408

[i] Source: own processing based on SmartPLS 4.1.1.8 output

Table 7.

Collinearity of the internal model (VIF)

PathVIFPathVIF
KHW → ATT2.307KWY → ATT2.688
KHW → PBC2.307KWY → PBC2.688
KHW → SN2.307KWY → SN2.688
KWT → ATT2.418ATT → EI1.543
KWT → PBC2.418PBC → EI1.470
KWT → SN2.418SN → EI1.259
KWO → ATT/PBC/SN2.319

[i] Source: own processing based on SmartPLS 4.1.1.8 output

Table 8.

Coefficient of determination (R2)

ConstructR2Adjusted R2
ATT0.5190.513
EI0.5820.579
PBC0.2610.251
SN0.2100.200

[i] Source: own processing based on SmartPLS 4.1.1.8 output

Table 9.

Effect sizes (f2)

Predictor→ ATT→ PBC→ SN→ EI
KWT (Know-What)0.0070.0020.000—
KWY (Know-Why)0.1120.0260.011—
KWO (Know-Who)0.0280.0040.074—
KHW (Know-How)0.0970.0560.000—
ATT———0.414
PBC———0.124
SN———0.024

[i] Source: own processing based on SmartPLS 4.1.1.8 output

Table 10.

Direct path coefficients (bootstrapping, 5,000 subsamples)

Pathβ (O)Sample meanStandard deviationT statisticsp95% CI
ATT → EI0.5160.5190.0529.8780.000[0.418, 0.622]
PBC → EI0.2760.2740.0535.2290.000[0.167, 0.375]
SN → EI0.1130.1120.0422.6630.008[0.027, 0.196]
KWT → ATT−0.090−0.0880.0681.3210.186[−0.223, 0.042]
KWT → PBC−0.055−0.0530.0830.6540.513[−0.214, 0.112]
KWT → SN−0.023−0.0180.0840.2700.787[−0.181, 0.147]
KWY → ATT0.3800.3790.0755.086<0.001[0.227, 0.525]
KWY → PBC0.2270.2270.0922.4800.013[0.044, 0.402]
KWY → SN0.1560.1510.1041.4940.135[−0.056, 0.348]
KWO → ATT0.1770.1790.0672.6440.008[0.052, 0.313]
KWO → PBC0.0800.0810.0830.9570.339[−0.083, 0.246]
KWO → SN0.3690.3730.0894.127<0.001[0.201, 0.547]
KHW → ATT0.3280.3280.0655.072<0.001[0.199, 0.456]
KHW → PBC0.3090.3080.0744.165<0.001[0.167, 0.453]
KHW → SN−0.027−0.0310.0890.3040.761[−0.199, 0.143]

[i] Source: own processing based on SmartPLS 4.1.1.8 output

Language: English
Page range: 304 - 324
Submitted on: Jul 26, 2026
Accepted on: Aug 28, 2026
Published on: Sep 29, 2026
Published by: Scoala Nationala de Studii Politice si Administrative
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Amina MERABET, Sidi Mohammed BENACHENHOU, Yamina GRARI, Abderrezzak MERABET, Abderrahmane ABEDOU, published by Scoala Nationala de Studii Politice si Administrative
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.