Purpose

This paper aimed to explain why individuals still tend to disclose their privacy information even when privacy risks are high and whether individuals disclose or withhold information following the same logic.

Design/methodology/approach

This study develops a configurational decision tree model (CDTM) for precisely understanding individuals' decision-making process of privacy disclosure. A survey of location-based social network service (LBSNS) users was conducted to collect data, and fuzzy-set qualitative comparative analysis (fsQCA) was adopted to validate the hypotheses.

Findings

This paper identified two configurations for high and low disclosure, respectively, and found that the benefits and the risks did not function independently but interdependently, and the justice would play a crucial role when both the benefits and the risks were high. Furthermore, the authors found that there were asymmetric mechanisms for high disclosure and low disclosure, and males focused more on perceived usefulness, while females concerned more about perceived enjoyment, privacy risks and perceived justice.

Originality/value

This paper further extends privacy calculus model (PCM) and deepens the understanding of the privacy calculus process from a configurational perspective. In addition, this study also provides guidance for future research on how to adopt the configurational approach with qualitative comparative analysis (QCA) to revise and improve relevant theories for information systems (IS) behavioral research.

中文翻译：

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个人披露或隐瞒信息是否遵循相同的逻辑：社交媒体信息披露的配置视角

目的

本文旨在解释为什么即使在隐私风险很高的情况下个人仍倾向于披露其隐私信息，以及个人是否遵循相同的逻辑披露或隐瞒信息。

设计/方法/方法

本研究开发了一种配置决策树模型（CDTM），用于精确理解个人隐私披露的决策过程。对基于位置的社交网络服务（LBSNS）用户进行了调查以收集数据，并采用模糊集定性比较分析（fsQCA）来验证假设。

发现

本文分别确定了高披露和低披露的两种配置，发现收益和风险不是独立发挥作用而是相互依存的，当收益和风险都很高时，正义将发挥关键作用。此外，作者发现高披露和低披露存在不对称机制，男性更关注感知有用性，而女性更关注感知享受、隐私风险和感知正义。

原创性/价值

本文进一步扩展了隐私演算模型（PCM），从配置的角度加深了对隐私演算过程的理解。此外，本研究还为未来研究如何采用定性比较分析（QCA）的配置方法来修正和完善信息系统（IS）行为研究的相关理论提供指导。