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. 2023 Jun 2;9(6):e16929. doi: 10.1016/j.heliyon.2023.e16929

Table 4.

Hypothesis-testing results.



Model 1
Model 2 (with CBAE as the mediating variable)
Model 3 (with CBAE and DMQ as the mediating variables)
Model 4 (with CBAE and DMQ as the mediating variables and DL as the moderating variable)
Dependent variable FP CBAE FP CBAE DMQ FP CBAE DMQ FP
Independent variable
H1 DT 0.15 (2.67)c 0.47 (8.02) c0.03 (0.45) 0.47 (7.81)c 0.14 (2.55)b −0.02 (0.31) 0.52 (10.66)c 0.12 (2.09)b −0.02 (0.32)
DL 0.44 (7.36)c 0.19 (3.06)c
H2 CBAE 0.23 (3.77)c 0.58 (13.16)c 0.03 (0.37) 0.53 (9.00)c 0.03 (0.39)
H3 DMQ 0.35 (4.76)c 0.34 (4.62)c
DL × DT 0.30 (5.11)c
DL × CBAE 0.19 (4.24)c
Control variable
Assets 0.15 (2.17)b 0.17 (2.59)c 0.20 (3.02)c 0.20 (2.78)c
Employees 0.08 (0.93) 0.06 (0.82) 0.03 (0.49) 0.03 (0.44)
Firm age 0.26 (4.84)c 0.25 (4.99)c 0.24 (5.17)c 0.24 (5.23)c
Ownership 0.04 (0.58) 0.03 (0.49) 0.05 (0.80) 0.05 (0.81)
Adjusted R2 0.17 0.22 0.20 0.22 0.43 0.26 0.53 0.47 0.26
Indirect effect Estimate LLCI ULCI
H4 DT→CBAE→DMQ 0.28 (6.72)c 0.20 0.36
CBAE→DMQ→FP 0.18 (3.99)c 0.10 0.28
DT→CBAE→DMQ→FP 0.08 (3.60)c 0.05 0.15

Notes: DT: digital transformation; DL: digital leadership; CBA: cloud-based accounting; DMQ: decision-making quality; FP: firm performance; DL × DT: interaction between DL and DT; DL × CBAE: interaction between DL and CBAE; numbers in brackets: t-values; a, b, and c denote significance at 10%, 5%, and 1%, respectively (two-tailed t-test).