Table 2

Assessment of loading, composite reliability and convergent validity

Constructs/ItemsLoadingsCACRAVEVIFSource
BDA-AI capabilities 0.9170.9340.6691.028Bag et al. (2021) 
BAI1: Using BDA-AI, our company can easily integrate information from different data sources0.756    
BAI2: Our firm routinely uses data visualisation techniques to assist users or decision-makers in understanding complex information0.796    
BAI3: Our firm dashboards allow us to decompose information to help root cause analysis and focus on continuous improvement0.830    
BAI4: Our firm has optimised resource usage and utilised assets better by leveraging BDA-AI0.811    
BAI5: Recycling options have increased by leveraging BDA-AI0.829    
BAI6: The BDA-AI project is led by experts, and everyone follows the timelines strictly0.826    
BAI7: BDA-AI project goals are reviewed regularly based on the dynamic business environment0.870    
Service innovation 0.8820.9140.6801.372Wang et al. (2022) 
SEI1: Our firm has introduced many new services to the market0.763    
SEI2: Our firm has introduced many modifications to the existing services0.835    
SEI3: Our firm constantly seeks find new services0.860    
SEI4: Our firm has introduced more new services than other firms that offer similar services0.864    
SEI5: The new services our firm introduced have caused significant changes in the industry0.796    
Organisational resilience 0.9240.9390.6881.016Yu et al. (2024) 
ORR1: Given other firms' business partnerships, our firm has developed appropriate ways for the unexpected0.780    
ORR2: Our firm engages in frequent practice and testing of our emergency plans to ensure their effectiveness0.779    
ORR3: Our firm focuses on our ability to respond to uncertain situations0.857    
ORR4: Our firm actively monitors our industry to identify the early warning signs of crises0.851    
ORR5: Our firm has sufficient resources to withstand the impact of unexpected emergencies0.817    
ORR6: If primary responsible persons are unavailable, our firm can always find other stakeholders to fill their roles0.861    
ORR7: Our firm has strong leadership to lead us to sustain future crises0.857    
Distribution efficiency 0.9430.9530.7171.205 
DIE1: Our firm is able to improve inventory accuracy to track stock levels in real-time0.878    El Bhilat et al. (2024) 
DIE2: Our firm can easily modify warehouse space0.873    
DIE3: Our firm offers sustainable packaging that is physically designed to optimise materials and energy0.867    
DIE4: Deliveries in our firm are able to adjust/modify their routes based on changes in customer demand0.881    
DIE5: Our firm can manage outbound transportation by reducing empty miles0.794    
DIE6: Our firm is able to efficiently manage the return of goods0.791    
DIE7: Our firm is able to respond to customer requests without delay0.859    
DIE8: Our firm is able to ship different types of high-quality products in good condition0.827    
Operational performance 0.8900.9190.6961.342El Bhilat et al. (2024) 
OPP1: Ability to reduce manufacturing operating costs0.858    
OPP2: Ability to execute a perfect order (i.e. complete, without delay and damage)0.887    
OPP3: Improvement in sales share0.862    
OPP4: Improvement in market share0.793    
OPP5: Improvement of the product image0.763    
BDA-AI risk concerns 0.9190.9370.7121.109Rana et al. (2022) 
RIC1: Our firm does not have enough technology competency to fully adopt an AI-integrated business analytics solution0.860    
RIC2: Our firm thinks AI cannot be used for important decision-making purposes0.862    
RIC3: Our firm believes AI-integrated business analytics solutions may not be a technology risk for our firm0.799    
RIC4: AI-integrated business analytics solutions may not pose security challenges to our firm0.809    
RIC5: Appropriate security should not be in place before our firm can fully adopt an AI-integrated business analytics solution0.891    
RIC6: Our firm does not have the appropriate security mechanism to adopt AI-integrated business analytics solutions in our firm fully0.837    

Note(s): CA = Cronbach's alpha; CR = Composite reliability; AVE = Average variance extracted; FC = Full collinearity

Source(s): Authors’ own work

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