Indonesian Online Shopping Perspective: Relationship e-Satisfaction, e-Commitment, e-Wom and e-Repurchase Intention

Abstract

Purpose: This paper aims to analyze the Indonesian Online Shopping Perspective through the relationship between e-Satisfaction, e-Commitment, e-WOM and e-Repurchase Intention. Theoretical framework: TRA (Ajzen and Fishbein, 1975), TPB (Ajzen, 1985, 1991, 2011), and TAM as the foundation in building this research model, because the best model predicts individual intentions towards accepting an information system. Design/methodology/approach: Samples that are accepted and suitable for use as data analysis are 331 samples from all users of online shopping applications or sites. The results of primary data will be analyzed using the PLS-SEM approach through the SmartPLS application. Findings: e-STF (e-IQ, e-SQ, e-SQL), e-COM (e-AC, e-NC, e-CC), and e-WOM imply the attitudes and behavior of the Indonesian people toward e-RI in the context of online shopping behavior. However, the contribution of e-STF has not been able to build e-COM. Research, Practical & Social implications: This research can be used as a preference for online shop producers, IS developers, or managers in realizing competitive advantage and sustainable business. The contribution of e-STF does not have a significant effect on e-COM, but customer attitudes still reflect a positive attitude towards the online shop. When customers are committed to a particular online shop, they will certainly recommend and make repeat purchases accompanied by a satisfied attitude. When customers are committed to a particular online shop, they will recommend and make repeat purchases accompanied by a satisfied attitude. Because this research uses a reflective-formative type model approach to e-STF and e-COM variables and the direct relationship between the constructs. It is hoped that further research will use e-COM and e-WOM as mediator variables to fill the shortcomings of this study. Originality/value: This study uses a reflective-formative approach to the variables e-STF (e-IQ, e-SQ, e-SQL) and e-COM (e-AC, e-NC, e-CC) to explore fundamentally online shopping behavior.