Navigating the initial stages of the pandemic using knowledge management: an integrated framework
Elembilassery, Varun ORCID: 0000-0002-4137-352X , Chakraborty, Shreyashi ORCID: 0000-0003-3021-6622 and Chandrasekaran, Shabana (2022) Navigating the initial stages of the pandemic using knowledge management: an integrated framework. Knowledge and Process Management, 29 (4). pp. 383-394. ISSN 1092-4604 (Print), 1099-1441 (Online) (doi:https://doi.org/10.1002/kpm.1730)
|
PDF (AAM)
37541_CHAKRABORTY_Navigating_the_initial_stages_of_the_pandemic.pdf - Accepted Version Download (517kB) | Preview |
Abstract
Knowledge management is a key driver of competitive advantage at all times. This paper explores the different knowledge management measures taken by organizations during the initial stages of the pandemic and the various knowledge resources leveraged for the same. The scope of the study is limited to the initial stages of the pandemic, when things were uncertain and most organizations were going through such a crisis for the first time. The methodology used in this paper combines three-stage thematic coding and a topic modelling algorithm. The data consist of interviews of human resource leaders and articles published in globally renowned sources. The data was collected during the initial stages of the pandemic and it reflects the thorough process during the initial stages of the pandemic. The findings indicate that firms take various short-term and long-term knowledge management measures by leveraging on several internal and external knowledge resources. The findings were analytically clustered and theoretically aggregated to develop an integrated framework for organizational navigation during the initial stages of the pandemic. The paper contributes to the literature by making a novel attempt to study the measures taken in the very early stages of the pandemic and some findings are new to the literature. Also, this paper integrates two different methodologies, which is unique to research. The integrated framework could be used by practitioners for developing a resilient knowledge management system.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | knowledge management; resources; COVID-19 |
Subjects: | H Social Sciences > HC Economic History and Conditions H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management |
Faculty / School / Research Centre / Research Group: | Faculty of Business Faculty of Business > Centre for Work and Employment Research (CREW) Faculty of Business > Department of Human Resources & Organisational Behaviour |
Last Modified: | 23 Sep 2024 01:38 |
URI: | http://gala.gre.ac.uk/id/eprint/37541 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year