Table 1.

Results of the assessment of measurement model for first-order constructs

ConstructItemScale itemsLoading
Connectivity (Cov)
(AVE =0.711; CR = 0.925; α = 0.898)
Cov1I can check inventory status across different channels0.821
Cov2I can query products information across different channels0.883
Cov3I can check products availability and inventory across different channels0.855
Cov4My member accounts across different channels are connected0.828
Cov5My interactions with customer service across different channels are connected0.828
Integration (Int)
(AVE =0.687; CR = 0.916; α = 0.887))
Int1My interactions across different channels are integrated and considered for each purchase0.791
Int2Product variety (different sizes, colours, etc.) is integrated across different channels0.827
Int3Descriptions of products are integrated across different channels0.821
Int4The launch of new products is synchronous across different channels0.843
Int5Promotion activities are aligned across different channels0.863
Consistency (Con)
(AVE =0.706; CR = 0.935; α = 0.917)
Con 1Trademarks, brand names and slogans are consistent across different channels0.804
Con 2The purchase expectance feelings are consistent across different channels0.851
Con 3Product images and display are consistent across different channels0.863
Con 4I receive consistent responses through different channels0.854
Con5The quality of products is consistent across different channels0.86
Con6The customer service performance is consistent across different channels0.809
Flexibility (Flx)
(AVE =0.643; CR = 0.878; α = 0.814)
Flx1I can try on products in physical stores and order them online0.781
Flx2I can choose different channels to get my chosen product0.834
Flx3I can order online and make payment and pick up offline0.798
Flx4The after-sales service is available across brand’s different channels0.81
Personalization (Per)
(AVE =0.742; CR = 0.920; α = 0.884)
Per1Shopping recommendations are offered according to my purchase’s history and personal information across brand’s different channels0.875
Per2Shopping discounts and privileges are offered based on my purchase history and personal information across different channels0.889
Per3Website browsing pages are customized based on my purchase history and personal information across different channels0.846
Per4Client-specific rewards or member points are offered based on my purchase history across different channels0.835
Enthused participation (EP)
(AVE = 0.759; CR = 0.950; α = 0.936)
EP1I spend a lot of my free time on my favourite brand applications0.855
EP2I am heavily into my favourite brand0.882
EP3I am passionate about my favourite brand0.885
EP4My days would not be same without my favourite brand applications0.867
EP5I try to fit accessing my favourite brand applications into my schedule0.880
EP6I enjoy spending time on my favourite brand applications0.858
Social connection (SC)
(AVE = 0.840; CR = 0.940; α = 0.905)
SC1I love accessing my favourite brand applications with my friends0.896
SC2I enjoy using my favourite brand applications more when I am with others0.932
SC3My favourite brand applications are more fun when other people around me also access it0.921
Conscious attention (CA)
(AVE = 0.781; CR = 0.934; α = 0.906)
CA1I like to know more about my favourite brand applications0.858
CA2I pay a lot of attention to anything about my favourite brand applications0.901
CA3I keep myself updated about things related to my favourite brand0.910
CA4Anything related to my favourite brand grabs my attention0.865
Return policy (RP)
(AVE = 0.767; CR = 0.943; α = 0.924)
RP1My favourite brands have clear return policy through their different channels0.841
RP2I often do not have trouble getting the returned item through the brand’s different channels0.901
RP3I often do not have to pay a return shipping/restocking fee0.871
RP4It does not take long to return the product0.877
RP5It is easy to return the product that does not meet my expectations through the brand’s different channels0.887
Customer citizenship behaviour (CCB)
(AVE = 0.712; CR = 0.937; α = 0.918)
CCB 1If I received good product/service from my favourite brand, I commented about it0.805
CCB 2If I experienced a problem, I let my favourite brand know about it0.829
CCB 3After my interaction with my favourite brand, I say positive things about it and its product/service to others0.877
CCB 4After my interaction with my favourite brand, I recommend it to others0.889
CCB5After my interaction with my favourite brand, I encouraged friends and relatives to interact with it0.85
CCB6If I had a useful idea on how to improve product/service, I let my favourite brand know about it0.808

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