The influence of social Q&A systems on consumers' purchase intention: an empirical study based on Taobao's “Ask Everyone”

Abstract

Purpose

Social question and answer (Q&A) systems have been rapidly developed on many e-commerce websites. The purpose of this paper is to explore how social Q&A systems influence consumers' information processing and purchase intention.

Design/methodology/approach

The authors design this research based on the information adoption model (IAM). First, the auhors consider the impacts of the central route (information factor) and peripheral route (social factor) on consumers' perception of information usefulness in Q&A systems. Then, the authors verify the influence of information and social aspects on purchase intention and empirically test the model with structural equation modelling (SEM) using 428 effective data samples.

Findings

On the whole, the authors prove that purchase intention is influenced by information and social aspects, which are two paths in Q&A systems. Specifically, both answer quality and social presence positively influence information usefulness. Interestingly, respondent credibility and answer consistency do not significantly impact information usefulness. Moreover, information usefulness positively affects information adoption, which positively affects consumer purchase intention.

Practical implications

This paper provides insights on social Q&A system mechanism design.

Originality/value

First, this paper is a useful complement to the research on social Q&A systems on e-commerce websites. Second, the authors provide a new theoretical lens through which the impacts of social Q&A systems on e-commerce websites are understood by extending the IAM. Third, the authors add answer consistency into original information process routes, which obtains a finding that is different from those of prior research.

Citation

Yang, R., Ai, S., Li, N., Du, R. and Fan, W. (2023), "The influence of social Q&A systems on consumers' purchase intention: an empirical study based on Taobao's “Ask Everyone”", Information Technology & People, Vol. 36 No. 2, pp. 477-499. https://doi.org/10.1108/ITP-10-2019-0568