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Research on social e-commerce reputation formation and state-introduced model

Chuang Wei (School of Management, Shenyang University of Technology, Shenyang, China and School of Economics and Management, Tsinghua Universtiy, Beijing, China)
Zhao-Ji Yu (School of Management, Shenyang University of Technology, Shenyang, China and Key Laboratory of Equipment Manufacturing, Liaoning Province, China)
Xiao-Nan Chen (School of Management, Shenyang University of Technology, Shenyang, China and Key Laboratory of Equipment Manufacturing, Liaoning Province, China)

Kybernetes

ISSN: 0368-492X

Article publication date: 5 June 2017

Abstract

Purpose

This paper aims to solve the problem of information overload and reduce search costs. It proposes a social e-commerce online reputation formation model and community state-introduced model. A system dynamics trend simulation has been run to capture the relationship among the sellers, buyers, social e-commerce platforms and external environment to obtain an online reputation.

Design/methodology/approach

Empirical research relating to social e-commerce reputation has been used to confirm the influencing factors in social e-commerce, and a conceptual framework is developed for social e-commerce reputation formation. Thereafter, a trend simulation is generated to classify the relationship among the factors based on system dynamics. Also, the improved algorithm for community detection and a state-introduced model based on a Markov network are proposed to achieve better network partition for better online reputation management.

Findings

The empirical model captures the interaction effect of social e-commerce reputation and the state-introduced model to guide community public opinion and improve the efficiency of social e-commerce reputation formation. This helps minimize searching cost thereby improving social e-commerce reputation construction and management.

Research limitations/implications

There is no appropriate online reputation system to be constructed to test the relationship proposed in the study for a field experiment. Also, deeper investigation for the nodes’ attributes in social networks should be made in future research. Besides, researchers are advised to explore measurement for the reputation of a given seller by using social media data as from Twitter or micro blogs.

Originality/value

Investigations that study online reputation in the social e-commerce are limited. The empirical research figured out the factors which can influence the formation of online reputation in social e-commerce. An SD model was proposed to explain the factors interaction and trend simulation was run. Also, a state-introduced model was proposed to highlight the effect of nodes’ attributes on communities’ detection to give a deeper investigation for the online reputation management.

Keywords

Acknowledgements

This work was supported in part by the National Natural Science Funds of China (No. 71401109) and Shenyang science and technology project (No. 170683).

Citation

Wei, C., Yu, Z.-J. and Chen, X.-N. (2017), "Research on social e-commerce reputation formation and state-introduced model", Kybernetes, Vol. 46 No. 06, pp. 1021-1038. https://doi.org/10.1108/K-08-2016-0203

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited