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Article
Publication date: 2 January 2023

Tanja Matikainen, Aino Kianto and Heidi Olander

This study aims to identify knowledge-related tensions in remote work in higher education institutions during the COVID-19 pandemic and increase understanding of how such tensions…

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Abstract

Purpose

This study aims to identify knowledge-related tensions in remote work in higher education institutions during the COVID-19 pandemic and increase understanding of how such tensions can be managed.

Design/methodology/approach

The research was conducted as an inductive, qualitative study in the field of higher education in Finland. The data were collected using semi-structured interviews of 34 managers in two higher education institutions and analyzed using an inductive and interpretive analysis method.

Findings

The findings demonstrate that the knowledge-related challenges and opportunities during the remote work period of the COVID-19 pandemic in Finnish higher education institutions can be conceptualized as tensions involved in knowledge codification, knowledge silos and creating new knowledge. The study contributes to research by presenting a framework for managing knowledge-related tensions in remote work arrangements to benefit remote and hybrid work in knowledge-intensive organizations.

Practical implications

This paper increases the understanding of the tensions in remote work arrangements; the results can help managers understand the challenges and opportunities of remote knowledge work concerning their organization and thereby assist them in management and decision-making in complex operational environments.

Originality/value

This study adopted the little-used perspective of tensions to examine knowledge management issues. By examining the various affordances that remote work may allow for knowledge-intensive work and higher education institutions, the study contributes to a deepened understanding of knowledge work in remote contexts, the related tensions and their management.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 53 no. 2
Type: Research Article
ISSN: 2059-5891

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