Table 3.

Scale refinement results

Measurement ItemsFactor loadings
Usage Barrier (UB)
Adapted from Cheng et al. (2018) and Santos and Ponchio (2021) α = 0.893; CR = 0.926; AVE = 0.757
 
Using chatbot was difficult for me0.863
Using chatbot was inconvenient for me0.860
Chatbot often lags or works slowly0.875
The steps to using chatbot are not clear to me0.881
Value Barrier (VB)
Adapted from Laukkanen (2016) and Santos and Ponchio (2021) α = 0.826; CR = 0.885; AVE = 0.658
 
Chatbot does not offer any advantage compared with human interacting0.822
Using chatbot does not increase my ability to control my financial matters alone0.774
Chatbot is not a superior substitute for traditional interact0.846
Chatbots do not save time when interacting with it0.800
Risk Barrier (RB)
Adapted from Cheng et al. (2018); Kaur et al. (2020) and Laukkanen (2016) α = 0.898; CR = 0.929; AVE = 0.765
 
I fear making mistakes in the process of using chatbot0.894
I fear entering the wrong information when using chatbot0.868
I fear exposure of privacy to third parties when using chatbot0.873
I am not sure that chatbot works as promised0.862
Tradition Barrier (TB)
Adapted from Kaur et al. (2020) and Laukkanen (2016) α = 0.897; CR = 0.929; AVE = 0.765
 
I find it difficult to get some information about chatbot use0.882
I find it difficult to get my problem resolved by chatbot0.872
The customer service offered by chatbot is not very pleasant0.888
Chatbot service is not good0.855
Image Barrier (IB)
Adapted from Laukkanen (2016) and Santos and Ponchio (2021) α = 0.810; CR = 0.875; AVE = 0.636
 
I have only a negative feeling about chatbot0.789
Chatbot are often too complicated to be useful0.782
I don’t like chatbots0.822
I have an image that chatbot is difficult to use0.797
Consumer resistance to innovation (CRI)
Adapted from Ju and Lee (2021) and Cheng et al. (2018) α = 0.899; CR = 0.929; AVE = 0.766
 
Chatbot services are not for me0.878
I fear of wasting my time using chatbot services0.877
I do not need chatbot services0.887
It is unlikely that I will use chatbot services in the near future0.860
Negative word of mouth (NWOM)
Adapted from Jana (2022) and Talwar et al. (2021) α = 0.861; CR = 0.904; AVE = 0.703
 
I spread negative comments about the chatbot service0.868
I share negative opinions about the chatbot service0.874
I take active part in negative discussions related to the chatbot service0.808
I would be very likely to warn my friends not to use the chatbot service0.801

Note(s):α = Cronbach’s alpha, CR = composite reliability and AVE = average variance extracted

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