Title
Repurchase Intention In The Chinese E-Marketplace Roles Of Interactivity, Trust And Perceived Effectiveness Of E-Commerce Institutional Mechanisms
Abstract
Purpose - Retaining customers is very important for the survival of e-commerce sellers. The purpose of this paper is to investigate the roles of computer-mediated communication (CMC) tools, interactivity, trust and perceived effectiveness of e-commerce institutional mechanisms (PEEIM) in influencing customer's repurchase intention in the Chinese online e-commerce marketplace.Design/methodology/approach - The research model is empirically tested using survey data analyzed with partial least squares structural equation modeling.Findings - This study confirms the positive relation between customer satisfaction and trust in the seller, which further contributes to repurchase intention. Results also support the positive influences of effective use of an instant messenger and feedback system on customer perceived interactivity, which helps enhance trust in the seller. PEEIMdemonstrates interesting results regarding its moderating effects.Research limitations/implications - In the future, researchers can extend the study to other e-commerce platforms and take trust transfer effects and product categories into consideration.Practical implications - This study highlights the importance to manage trust, PEEIM, interactivity and CMC tools in e-commerce platforms, assisting practitioners to develop appropriate business strategies and processes to retain customers.Originality/value - This study extends previous investigations by integrating trust and PEEIM with interactivity and testing the model in the context of the Chinese online marketplace.
Year
DOI
Venue
2016
10.1108/IMDS-07-2015-0296
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
Keywords
Field
DocType
Trust, Interactivity, Online repurchase intention, Partial least square modeling, Perceived effectiveness of e-commerce institutional mechanism
Interactivity,Survey data collection,Customer satisfaction,Structural equation modeling,Originality,Instant messenger,Engineering,Product (category theory),Marketing,E-commerce
Journal
Volume
Issue
ISSN
116
8
0263-5577
Citations 
PageRank 
References 
7
0.43
20
Authors
4
Name
Order
Citations
PageRank
HaiJun Bao1454.42
Boying Li2369.80
Jiaying Shen370.43
Fangfang Hou471.10