Abstract 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.

中文翻译：

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付费问答中支付决策驱动因素的因果配置分析

摘要目的本文研究了支付决策的因素以及每个因素在系统和启发式信息处理路径下导致高支付意愿的随意配置中所起的作用。设计/方法/方法基于启发式系统模型（HSM），我们提出了一个配置分析框架来研究影响因素和支付决策之间复杂的偶然关系。根据这种方法，我们使用模糊集定性比较分析（fsQCA）来分析从知乎网爬取的数据。调查结果 在所有五种等效配置中，先前咨询的数量是一个必要因素，导致支付决策的高度意图。启发式处理路径在支付决策过程中起核心作用，而系统化处理路径在支付决策过程中起外围作用。研究局限性 研究的局限性在于框架中没有考虑专业领域的调节作用。实际意义 结果中的配置可以帮助知识社区的管理者和付费问答服务提供商管理信息元素，以激发更多的支付决策。