TY - JOUR
T1 - Repurchase intention in the Chinese e-marketplace
T2 - Roles of interactivity, trust and perceived effectiveness of e-commerce institutional mechanisms
AU - Bao, Haijun
AU - Li, Boying
AU - Shen, Jiaying
AU - Hou, Fangfang
N1 - Funding Information:
The authors acknowledge the financial support from the National Natural Science Foundation of China (NSFC), International Doctoral Innovation Centre, Ningbo Education Bureau and The University of Nottingham. The project is partially supported by NSFC No. 71402076.
Publisher Copyright:
© Emerald Group Publishing Limited.
PY - 2016/9
Y1 - 2016/9
N2 - 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 itsmoderating 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.
AB - 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 itsmoderating 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.
KW - Interactivity
KW - Online repurchase intention
KW - Partial least square modeling
KW - Perceived effectiveness of e-commerce institutional mechanism
KW - Trust
UR - http://www.scopus.com/inward/record.url?scp=84988808423&partnerID=8YFLogxK
U2 - 10.1108/IMDS-07-2015-0296
DO - 10.1108/IMDS-07-2015-0296
M3 - Article
AN - SCOPUS:84988808423
SN - 0263-5577
VL - 116
SP - 1759
EP - 1778
JO - Industrial Management and Data Systems
JF - Industrial Management and Data Systems
IS - 8
ER -