The S-O-R paradigm in explaining enterprise social network (ESN) discontinuous usage intention

IF 2.4 3区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Aslib Journal of Information Management Pub Date : 2023-12-04 DOI:10.1108/ajim-07-2023-0268
Mohammad Olfat
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引用次数: 0

Abstract

Purpose

This study aims to show that employees' excessive work-related use of enterprise social networks (ESN) can be accompanied by some work-related strains, hindering them from continuing utilization of ESN at work. To this end, the impact of employees' excessive work-related utilization of ESN on their discontinuous usage intentions by mediating roles of employees' impression management concerns, privacy concerns and ESN fatigue will be evaluated.

Design/methodology/approach

Stimulus-organisms-response (S-O-R) framework has been drawn to support the design of this research. Using an entirely random data collection, 173 ESN users from 10 Iranian organizations were surveyed. The model was assessed using partial least squares structural equations modeling (PLS-SEM).

Findings

The results of the study confirm that employees' excessive work-related use of ESN positively affects impression management and privacy concerns, resulting in ESN fatigue. Furthermore, ESN fatigue plays a predicting role in ESN discontinuous usage intention.

Originality/value

According to the obtained results, if work-related use of ESN exceeds a normal threshold (i.e. excessive usage), employees will stop using ESN in their work due to the work-related strains delivered to them, revealing the dark side of ESN usage in organizations.

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企业社会网络(ESN)不连续使用意向的S-O-R范式解释
本研究旨在表明员工在过度使用企业社交网络(ESN)的过程中,会伴随着一些与工作相关的压力,从而阻碍员工在工作中继续使用ESN。为此,我们将通过员工印象管理顾虑、隐私顾虑和ESN疲劳的中介作用,评估员工工作相关ESN过度使用对其不连续使用意愿的影响。设计/方法/方法刺激-生物-反应(S-O-R)框架已被绘制来支持本研究的设计。使用完全随机的数据收集,对来自10个伊朗组织的173个ESN用户进行了调查。采用偏最小二乘结构方程模型(PLS-SEM)对模型进行评估。研究结果证实,员工在工作中过度使用ESN会对印象管理和隐私担忧产生积极影响,从而导致ESN疲劳。回声状态网络疲劳对回声状态网络不连续使用意向具有预测作用。独创性/价值根据所得结果,如果工作相关的ESN使用超过正常阈值(即过度使用),员工会因为工作相关的压力而停止在工作中使用ESN,揭示了组织中ESN使用的阴暗面。
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来源期刊
Aslib Journal of Information Management
Aslib Journal of Information Management COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
5.30
自引率
19.20%
发文量
79
期刊介绍: Aslib Journal of Information Management covers a broad range of issues in the field, including economic, behavioural, social, ethical, technological, international, business-related, political and management-orientated factors. Contributors are encouraged to spell out the practical implications of their work. Aslib Journal of Information Management Areas of interest include topics such as social media, data protection, search engines, information retrieval, digital libraries, information behaviour, intellectual property and copyright, information industry, digital repositories and information policy and governance.
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