Table 6

PLS path coefficients and results

RelationshipStd errorStd betat-valuep-valueBCa CI 95%VIFf2R2Q2
LBUB
Direct
H1: BA → SCR0.0720.2092.9040.0020.0700.3501.9790.0430.4860.308
H2: BA → RT0.0470.63013.5030.0000.5310.7151.0000.6600.3970.246
H3: BA → NC0.0460.64714.1540.0000.5430.7271.0000.7200.4190.227
H4: RT → SCR0.0580.3546.0760.0000.2310.4601.9950.122  
H5: NC → SCR0.0670.2333.4790.0010.0950.3592.0680.051  
H7: SCR → RP0.0670.4166.2260.0000.2820.5441.2640.2250.3930.226
Indirect*
H6a: BA → RT→ SCR0.0390.2235.7750.0000.1480.301    
H6b: BA → NC→ SCR0.0420.1503.8240.0000.0630.231    
Interaction
H8: IOSD x SCR→ RP0.057−0.2414.2280.000−0.360−0.135    
Control variables
Firm age → RP0.0600.0040.0580.477−0.0970.102    
Firm size → RP0.0600.0350.5930.277−0.0630.134    
Internationalization → RP0.0500.0210.4260.335−0.0620.104    
Ownership → RP0.081−0.0150.1820.428−0.1570.108    

Note(s): BA = Blockchain adoption; RT = Relational trust; NC = Network capability; SCR = Supply chain resilience; RP = Relationship performance; IOSD = Inter-organizational systems adaptability. * = The indirect effect is tested using a two-tailed test with a 97.5% percentile confidence interval, while the rest is tested using a one-tailed test with a 95% percentile confidence interval

Source(s): Authors’ own work

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