新冠肺炎诱发的职业压力是否调节南亚高校院士精神动机与隐性知识共享行为的关系?

I. Shahzadi, M. Raja
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引用次数: 1

摘要

新冠肺炎疫情使许多雇主疲于研究如何持续保持和提高绩效结果。在高等教育机构(HEIs)中,由于新冠疫情,它们已经从传统大学冬眠到网络大学,这就更加棘手了。持久地激励和留住知识型员工具有重要意义。因此,本研究旨在探讨在新冠肺炎职业压力的调节下,院士精神动机对其隐性知识共享行为的影响。巴基斯坦人民欢迎巴基斯坦高等教育机构的院士。以289名院士为样本。描述性统计和推理统计(线性回归)在SPSS中进行,而;采用Hayes过程宏来检验适度性。研究结果表明,院士的精神动机与隐性知识共享行为显著正相关,而且新冠肺炎诱发的职业压力调节了两者的关系。因此,研究结果为高等学校的决策者和相关部门留下了宝贵的建议,即如何将新冠肺炎引发的职业压力视为精神上的压力,从而保持院士的隐性知识共享行为。对未来的研究人员进一步研究预期的研究模型也提出了许多建议。
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Does COVID-19 Induced Occupational Stress Moderates the Relationship of Spiritual Motivation and Academicians’ Tacit Knowledge Sharing Behaviour Among South Asian Higher Education Institutions?
The COVID outbreak has frazzled many employers to research how to upkeep and boost the performance outcomes continuously. It is even trickier in Higher Education Institutions (HEIs) when they have hibernated from conventional to cyber universities due to the COVID pandemic. It is relatable to motivate and retain the knowledge workers persistently. Therefore, this study is designed to investigate the impact of academicians' spiritual motivation on their tacit knowledge sharing behaviour, with the moderation of COVID-induced occupational stress. The population embraced the academicians of Pakistani Higher Education Institutions. ~289 academicians were considered as the sample size. Descriptive and inferential statistics (linear regression) were performed in SPSS, whereas; 'Hayes' process macro' was used to test moderation. The findings designate that academicians' spiritual motivation is significantly and positively associated with tacit knowledge sharing behaviour—moreover, COVID-induced occupational stress moderates their relationship. Consequently, the results bequeath the policymakers and the relevant authorities of HEIs, with valuable propositions on how to upkeep academicians' tacit knowledge sharing behaviour by considering COVID-induced occupational stress as eu-stress if they are spiritually motivated. Profuse suggestions were also presented to future researchers to further look into the anticipated study model. 
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