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Technostress and disengagement from knowledge sharing: insights from pre-pandemic and mid-pandemic data sets
Journal of Knowledge Management ( IF 6.6 ) Pub Date : 2024-07-16 , DOI: 10.1108/jkm-08-2023-0711
Monalisa Mahapatra , Dianne P. Ford

Purpose

This study aims to examine a common failure in knowledge sharing, called disengagement from knowledge sharing (DKS), and investigates how technostress may contribute to this unintentional withholding of knowledge for knowledge workers. The authors apply the Job Demands-Resources (JD-R) model to explain the dual path of technostress creators and inhibitors on DKS via burnout and job engagement. The authors also examine how the pandemic and the changes in remote work and information and communication technology (ICT)-related stress may have impacted DKS.

Design/methodology/approach

Using a time-lag survey, two independent samples of knowledge workers who use information and communication technologies for their jobs were surveyed during early 2020 and mid-2021. Analyses were completed with partial least squares-structural equation modelling.

Findings

Technostress (via the JD-R model) explained DKS. Technostress creators were positively associated with burnout, which was in turn positively related to DKS. Technostress inhibitors were positively associated with job engagement, which in turn was also positively related to disengagement to knowledge sharing. Technostress inhibitors were negatively associated with burnout. Results from the multigroup analysis indicated that technostress inhibitors had a stronger relationship with engagement pre-pandemic than mid-pandemic.

Originality/value

This research addresses a more common source of knowledge sharing failures and illustrates how ICTs may impact this DKS via burnout and job engagement. In addition, this research captures a change in relationships associated with the pandemic.



中文翻译:


技术压力和脱离知识共享:大流行前和大流行中期数据集的见解


 目的


本研究旨在探讨知识共享中常见的失败现象,即知识共享脱离(DKS),并调查技术压力如何导致知识工作者无意中保留知识。作者应用工作需求-资源 (JD-R) 模型来解释技术压力创造者和抑制者通过倦怠和工作投入对 DKS 的双重路径。作者还研究了疫情、远程工作的变化以及信息和通信技术 (ICT) 相关压力如何影响 DKS。


设计/方法论/途径


采用时滞调查,在 2020 年初和 2021 年中期对使用信息和通信技术工作的知识工作者的两个独立样本进行了调查。通过偏最小二乘结构方程模型完成分析。

 发现


Technostress(通过 JD-R 模型)解释了 DKS。技术压力创造者与倦怠呈正相关,而倦怠又与 DKS 呈正相关。技术压力抑制剂与工作投入度呈正相关,而工作投入度又与脱离知识共享呈正相关。技术压力抑制剂与倦怠呈负相关。多组分析的结果表明,与大流行中期相比,技术压力抑制剂与大流行前的参与度有更强的关系。

 原创性/价值


这项研究解决了知识共享失败的一个更常见的原因,并说明了信息通信技术如何通过倦怠和工作投入来影响知识共享。此外,这项研究还捕捉到了与大流行相关的关系变化。

更新日期:2024-07-13
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