{"title":"技术压力与脱离知识共享:从流行前和流行中的数据集中获得的启示","authors":"Monalisa Mahapatra, Dianne P. Ford","doi":"10.1108/jkm-08-2023-0711","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>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.</p><!--/ Abstract__block -->","PeriodicalId":48368,"journal":{"name":"Journal of Knowledge Management","volume":null,"pages":null},"PeriodicalIF":6.6000,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Technostress and disengagement from knowledge sharing: insights from pre-pandemic and mid-pandemic data sets\",\"authors\":\"Monalisa Mahapatra, Dianne P. Ford\",\"doi\":\"10.1108/jkm-08-2023-0711\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>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.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>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.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>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.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>This research addresses a more common source of knowledge sharing failures and illustrates how ICTs may impact this DKS via burnout and job engagement. 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Technostress and disengagement from knowledge sharing: insights from pre-pandemic and mid-pandemic data sets
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.
期刊介绍:
Knowledge Management covers all the key issues in its field including:
■Developing an appropriate culture and communication strategy ■Integrating learning and knowledge infrastructure
■Knowledge management and the learning organization
■Information organization and retrieval technologies for improving the quality of knowledge
■Linking knowledge management to performance initiatives ■Retaining knowledge - human and intellectual capital
■Using information technology to develop knowledge management ■Knowledge management and innovation
■Measuring the value of knowledge already within an organization ■What lies beyond knowledge management?