Table 5.

Hypothesis testing results: direct, indirect and moderation effects

HypothesesOriginal sample (O)Sample mean (M)Standard deviation (STDEV)T statistics(|O/STDEV|)p-values
AI adoption → Collaborative partnership0.4760.4770.04211.4460.000
AI adoption → Employee empowerment0.3620.3640.0467.9070.000
AI adoption → Motivation to protection0.1250.1260.0413.0190.003
AI adoption → Sustainability development0.1290.1250.0413.1570.002
Collaborative partnership → Sustainability development0.1770.1800.0404.4200.000
Cultural context → Sustainability development0.2700.2530.0545.0290.000
Employee empowerment → Sustainability development0.4440.4420.04210.6930.000
Motivation to protection → Sustainability development0.3850.3740.0468.3950.000
Regulatory framework → Sustainability development−0.159−0.1650.0325.0350.000
Cultural context x AI adoption → Sustainability development0.0270.0280.0380.7210.471
Regulatory framework x AI adoption → Sustainability development0.0870.0900.0322.6710.008
AI adoption → Motivation to protection → Sustainability development0.0480.0470.0172.7940.005
AI adoption → Employee empowerment → Sustainability development0.1610.1610.0275.8720.000
AI adoption → Collaborative partnership → Sustainability development0.0840.0860.0204.2220.000
Note(s):

Table reports path coefficients, t-statistics and p-values. Effects are considered significant at p < 0.05

Source(s): Authors’ own creation

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