The Effect of Web 4.0 Technologies Integration on Customer Satisfaction in the E-Commerce Industry: The Moderating Role of Data Privacy Concern
DOI:
https://doi.org/10.65080/ajbmss.v2i2.CM2622101025Keywords:
Web 4.0, e-commerce customer satisfaction, ai-driven personalization, immersive shopping experience, data privacy concernAbstract
Introduction: This study aimed to analyse the integration of Web 4.0 technology in customer satisfaction in the e-commerce sector, considering three technology aspects: artificial intelligence (AI) personalisation, immersive shopping experience, and intelligent service automation.
Method: A quantitative cross-sectional survey was used to gather data from 300 participants, which was analysed using PLS SEM in SmartPLS. Factor loadings, Cronbach's alpha, composite reliability, and average variance extracted (AVE) were used to determine the quality of the reflective measurement, and structural modelling was performed using bootstrapping and two-stage moderation analysis of the interaction effects. This approach is suitable for prediction-oriented models that contain latent constructs and moderation.
Results: Immersive shopping experience had the greatest predictive value for satisfaction, followed by intelligent service automation and AI-driven personalisation. Data privacy concerns had a direct positive relationship with satisfaction. In contrast, the moderation evidence was limited, with only personalisation by privacy interaction reaching significance; the remaining interaction terms were not significant.
Conclusion: Managers should prioritise immersive shopping features and intelligent service automation to improve customer satisfaction while maintaining transparent privacy governance, particularly in data-driven personalisation. Privacy must be handled as a designed and trusted problem, and not as an obstacle to all Web 4.0 investments.
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