文献类型：期刊文献

中文题名：A Causal Configuration Analysis of Payment Decision Drivers in Paid Q&A

作者：Wenyu Chen[1];Yan Cheng[1];Jia Li[1]

机构：[1]School of Business,East China University of Science and Technology,Shanghai 200237,China

年份：2021

卷号：6

期号：2

起止页码：139

中文期刊名：Journal of Data and Information Science

外文期刊名：数据与情报科学学报（英文版）

收录：Scopus;CSCD:【CSCD2021_2022】；PubMed;

基金：National Natural Science Foundation of China(Grant No.71271087)。

语种：英文

中文关键词：Payment decision;Paid Q&A;Dual-process theory;Configurational paradigm;Fuzzy-set qualitative comparative analysis(fsQCA)

摘要：Purpose:This paper examines factors of payment decision as well as the role each factor plays in casual configurations leading to high payment intention under systematic and heuristic information processing routes.Design/methodology/approach:Based on heuristic-systematic model(HSM),we propose a configurational analytic framework to investigate complex casual relationships between influencing factors and payment decision.In line with this approach,we use fuzzy-set qualitative comparative analysis(fsQCA)to analyze data crawled from Zhihu.com.Findings:The number of previous consultations is a necessary element in all five equivalent configurations which lead to high intention in payment decision.The heuristic processing route plays a core role while the systematic processing route plays a peripheral role in payment decision-making process.Research limitations:Research is limited in that moderating effect of professional fields has not been considered in the framework.Practical implications:Configurations in results can assist managers of knowledge communities and paid Q&A service providers in the management of information elements to motivate more payment decision.Originality/value:This paper is one of the few studies to apply HSM theory and fsQCA method with respect to the payment decision in paid Q&A.