Purpose

The study sets out to explore the mediating role of intellectual capital (IC) dimensions (i.e. human, structural and relational) between scholars' affiliation to online academic networks and institutional knowledge capitalization. Online academic networks are tackled through the lens of knowledge networks which have been of primary importance for new relevant knowledge acquisition during the COVID-19 pandemic.

Design/methodology/approach

A questionnaire-based survey of 305 academics from 35 different countries was conducted from July to December 2021, employing a partial least squares structural equation modelling technique. The database was initially filtered to ensure the adequacy of the sample, and data were analyzed using the statistics software package SmartPLS 3.0.

Findings

Evidence was brought forward that the proposed conceptual model accounted for 52.5% of the variance in institutional knowledge capitalization, the structural and relational capital availed by knowledge networks exerting strong positive influence on the dependent variable.

Research limitations/implications

The study has both research and managerial implications in that it approaches a topical phenomenon, namely the capitalization of online academic networks in the COVID-19 context, which has dramatically altered the way that research and teaching are conducted worldwide.

Originality/value

The most important contribution of the paper resides in the comprehensive research model advanced which covers individual, organizational and network multifaced layers, starting with the personal and institutional motives to join a specialized network, continuing with the opportunities provided by knowledge networks in terms of intellectual capital harnessing, and ending with its influence on higher education organizations.

中文翻译：

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重新审视 COVID-19 大流行中的在线学术网络——从知识网络的智力资本到机构知识资本化

目的

该研究旨在探讨智力资本 (IC) 维度（即人、结构和关系）在学者对在线学术网络的隶属关系与机构知识资本化之间的中介作用。在线学术网络是通过知识网络的视角来解决的，知识网络对于在 COVID-19 大流行期间获取新的相关知识至关重要。

设计/方法/途径

从 2021 年 7 月到 2021 年 12 月，对来自 35 个不同国家的 305 名学者进行了问卷调查，采用了偏最小二乘结构方程建模技术。对数据库进行初步过滤以确保样本的充分性，并使用统计软件包SmartPLS 3.0 对数据进行分析。

发现

提出的证据表明，所提出的概念模型占机构知识资本化方差的 52.5%，知识网络利用的结构和关系资本对因变量产生强烈的积极影响。

研究局限性/影响

该研究具有研究和管理意义，因为它处理了一个热门现象，即 COVID-19 背景下在线学术网络的资本化，这极大地改变了全球研究和教学的方式。

原创性/价值

该论文最重要的贡献在于提出了涵盖个人、组织和网络多层面的综合研究模型，从加入专业网络的个人和机构动机开始，继续从知识网络在智力资本方面提供的机会利用并结束其对高等教育组织的影响。