Research Article

Factors Influencing Adoption of IoT and Its Impact on CRM in Banks: Examining the Moderating Role of Gender, Age, and Bank Ownership Type

Table 6

Standardized direct and interaction (moderation) effects.

Dependent variableIndependent variableStd. estimate

Direct effects
IoT adoptionCost0.351
IoT adoptionConvenience0.267
IoT adoptionStatus0.121
IoT adoptionPrivacy0.294
Customer relationship managementIoT adoption0.395
Interaction effect (moderation effect)
Customer relationship managementIoT adoptiongender-0.149
Customer relationship managementIoT adoptionage-0.171
Customer relationship managementIoT adoptionbank type0.154

Note: direct paths have been found significant at 1% level of significance, i.e., value < 0.01. The interaction effects have been found significant at a 5% level of significance, i.e., , with bootstrapping at 5000.