Table II.

Exploratory factor analysis to identify key dimensions for selecting container number recognition system

ItemFactor 1Factor 2Factor 3Factor 4Factor name
Acceptance of superintendent0.8530.1740.1490.074Acceptance
Acceptance of liner carriers0.7880.2900.0780.060
Acceptance of shippers0.7740.0460.3460.244
Acceptance of truckers0.7170.2020.1380.157
Acceptance of employees0.7010.0160.3870.289
Training cost0.1370.8970.0950.161Cost
Setup cost0.1220.8940.0780.075
Labour savings0.2440.8170.1560.093
Reading speed0.0830.0520.8140.148Efficiency
Reading distance0.2440.0090.7510.065
Checking container location0.0830.2580.6870.055
System processing time0.3620.0500.6580.010
Recognition precision0.0820.1590.0690.815Accuracy
Error ratio0.2370.0050.2150.765
Environmental disturbance0.2550.466−0.0620.583
Eigenvalue5.772.121.391.22 
% of variance38.4614.139.278.15 
Cumulative % of variance38.4652.5961.8670.01 
Cronbach’s alpha0.890.900.800.70 

Note:

Italic values highlight the loadings that are larger than 0.5

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