Purpose

The purpose of this paper is to build a comprehensive structural model to demonstrate the interrelationships of factors influencing social networking service (SNS) fatigue and to identify the varying degrees of influence.

Design/methodology/approach

A total of 14 factors influencing SNS fatigue are identified through an extensive literature review. Interpretive structural modeling (ISM) and Matrice d'Impacts Croisés Multiplication Appliqué à un Classement (MICMAC) analysis are employed to build a hierarchical model and classify these factors into four clusters.

Findings

The results revealed that ubiquitous connectivity and immediacy of feedback are key factors contributing to SNS fatigue through their strong influence on other factors. Privacy concern, impression management concern and work–life conflict lead directly to SNS fatigue. In contrast, system feature overload and system pace of change are relatively insignificant in generating SNS fatigue.

Originality/value

This study represents an initial step toward comprehensively understanding the interrelationships among the factors leading to SNS fatigue and reveals how determinants of SNS fatigue are hierarchically organized, thus extending existing research on SNS fatigue. It also provides logical consistency in the ISM-based model for SNS fatigue by grouping identified factors into dependent and independent categories. Moreover, it extends the applicability of the integration of the ISM and MICMAC approaches to the phenomenon of SNS fatigue.

中文翻译：

---

了解社交网络服务疲劳的决定因素：一种解释性结构建模方法

目的

本文的目的是建立一个全面的结构模型来展示影响社交网络服务 (SNS) 疲劳的因素之间的相互关系，并确定不同程度的影响。

设计/方法/方法

通过广泛的文献回顾，共确定了 14 个影响 SNS 疲劳的因素。解释性结构建模 (ISM) 和 Matrice d'Impacts Croisés Multiplication Appliqué à un Classement (MICMAC) 分析用于构建层次模型并将这些因素分为四个集群。

发现

结果表明，无处不在的连接性和反馈的即时性是通过对其他因素的强烈影响而导致 SNS 疲劳的关键因素。隐私问题、印象管理问题和工作生活冲突直接导致 SNS 疲劳。相比之下，系统功能过载和系统变化速度在产生 SNS 疲劳方面相对微不足道。

原创性/价值

这项研究代表了全面了解导致 SNS 疲劳的因素之间的相互关系的第一步，并揭示了 SNS 疲劳的决定因素是如何分层组织的，从而扩展了现有的 SNS 疲劳研究。它还通过将已识别的因素分为依赖和独立类别，在基于 ISM 的 SNS 疲劳模型中提供逻辑一致性。此外，它扩展了集成 ISM 和 MICMAC 方法对 SNS 疲劳现象的适用性。