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Determinants of E-Learning Adoption: Evidence from the Telecommunications Industry in Vietnam

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31 dic 2024
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Figure 1.

Proposed research model
(Source: Own elaboration)
Proposed research model (Source: Own elaboration)

Mean, standard deviation, convergence, validity of measurements

Factor Indicator Mean Standard deviation Standardized loading Composite reliability AVE
Management support (MS) MS1 3.47 1.20 0.879 0.832 0.553
MS2 3.39 1.24 0.866
MS3 3.29 1.24 0.961
MS4 3.34 1.18 0.906
Technical support (TS) TS1 3.45 1.15 0.871 0.809 0.515
TS2 3.48 1.14 0.780
TS3 3.48 1.15 0.839
TS4 3.54 1.10 0.764
Course quality (CQ) CQ1 3.56 1.19 0.839 0.884 0.562
CQ2 3.53 1.12 0.734
CQ3 3.46 1.21 0.974
CQ4 3.44 1.16 0.896
CQ5 3.44 1.10 0.801
CQ6 3.44 1.14 0.920
Perceived usefulness (PU) PU1 3.51 1.17 0.816 0.812 0.590
PU2 3.46 1.13 0.936
PU3 3.42 1.21 0.939
Perceived ease of use (PEOU) PEOU1 3.47 1.33 0.958 0.757 0.511
PEOU2 3.42 1.29 0.975
PEOU3 3.46 1.24 0.817
E-learning adoption (EA) EA1 3.51 1.15 0.729 0.758 0.516
EA2 3.35 1.16 0.733
EA3 3.46 1.16 0.993

Sample characteristics (N = 248)

Variable - Frequency Percent
Gender Male 149 60.0
Female 99 40.0
Age (years) 18–29 43 17.3
30–39 119 48.0
40–49 78 31.5
50–60 8 3.2
Work experience <3 years 38 15.3
3–5 years 39 15.7
5–10 years 40 16.1
>10 years 131 52.8
Job position Employee 116 46.8
First-line manager 64 25.8
Middle manager 39 15.7
Top manager 29 11.7

Appendix: Measurement items

No Scale Item
Management support (MS)
1 MS1 My manager encourages me to upgrade my capabilities by studying e-learning
2 MS2 My manager suggests relevant content to me on e-learning
3 MS3 My manager supports and encourages me to refer e-learning for my work
4 MS4 My manager cares about my using e-learning
Technical support (TS)
5 TS1 A hotline is available to support technical issues about the e-learning system
6 TS2 An email line is available to support technical issues about the e-learning system
7 TS3 TS for e-learning is provided shortly after requested
8 TS4 Overall, I am satisfied with the TS regarded to e-learning
Course quality (CQ)
9 CQ1 The courses’ difficulty is moderate on e-learning to me
10 CQ2 The courses’ duration is suitable on e-learning for me
11 CQ3 The courses’ structure is clear and understandable on e-learning
12 CQ4 The courses’ content is presented attractively
13 CQ5 The courses are relevant to my work requirement
14 CQ6 Overall, I am satisfied with the course content on e-learning
Perceived usefulness (PU)
15 PU1 Using e-learning helped me to improve my learning effectiveness
16 PU2 Using e-learning helped me to improve my performance
17 PU3 Overall I think e-learning is beneficial to my work
Perceived ease of use (PEOU)
18 PEOU1 I understand how to use e-learning system
19 PEOU2 I do not have difficulties in interacting with e-learning system
20 PEOU3 Overall I think the system is easy to use
E-learning adoption (EA)
21 EA1 I intend to use e-learning as a method to study
22 EA2 I prefer e-learning over other traditional methods
23 EA3 I would recommend e-learning to my colleagues

Discriminant validity analysis result

Factor 1 2 3 4 5 6
1. MS 0.744 - - - - -
2. TS 0.268** 0.718 - - - -
3. CQ 0.260** 0.230** 0.750 - - -
4. PU 0.487*** 0.356* 0.397* 0.768 - -
5. PEOU 0.002 0.489*** 0.364** 0.444** 0.715 -
6. EA 0.314*** 0.311* 0.402*** 0.654*** 0.499*** 0.718

Standardized causal effects for the structural model and hypotheses assessment

Endogenous variable Determinant Standardized causal effect Result
PU(R2 = 0.473) H1 – MS 0.403*** Supported
H3 – CQ 0.157* Supported
H5 – PEOU 0.317*** Supported
- - - -
PEOU(R2 = 0.304) H2 – TS 0.461*** Supported
H4 – CQ 0.311*** Supported
- - - -
EA (R2 = 0.505) H6 – PU 0.484*** Supported
H7 – PEOU 0.199** Supported