The University of Southampton
University of Southampton Institutional Repository

Navigating the new normal: which firms have adapted better to the COVID-19 disruption?

Navigating the new normal: which firms have adapted better to the COVID-19 disruption?
Navigating the new normal: which firms have adapted better to the COVID-19 disruption?
The COVID-19 pandemic has significantly impacted businesses worldwide by lowering demand, impeding operations, stressing supply chains, and limiting access to finance. Yet we still lack an understanding of how firms can successfully adapt to this disruption. I examine this issue theoretically by combining arguments around dynamic capabilities and managerial cognition and developing several hypotheses concerning firm innovation, knowledge sources, management practices, and gender issues in relation to firms’ adaptation to this crisis. I test these assertions using data from two rounds of surveys involving more than 11,000 firms from 28 countries both before and after COVID-19 was officially declared a global crisis. The empirical results provide prima facie evidence that innovators, in particular those who are younger (i.e. start-ups) and those who rely on internal sources of knowledge, are more likely to adapt to COVID-19 than non-innovators. Moreover, firms with better management practices exhibit also greater ability to adapt to the crisis. I did not find systematic gender differences upon examining firms managed by women versus men. Following these findings, I set out several implications for research and policy.
0166-4972
Krammer, Sorin M.S.
24ce872e-5044-4846-bb35-88e12c74c854
Krammer, Sorin M.S.
24ce872e-5044-4846-bb35-88e12c74c854

Krammer, Sorin M.S. (2022) Navigating the new normal: which firms have adapted better to the COVID-19 disruption? Technovation, 110. (doi:10.1016/j.technovation.2021.102368).

Record type: Article

Abstract

The COVID-19 pandemic has significantly impacted businesses worldwide by lowering demand, impeding operations, stressing supply chains, and limiting access to finance. Yet we still lack an understanding of how firms can successfully adapt to this disruption. I examine this issue theoretically by combining arguments around dynamic capabilities and managerial cognition and developing several hypotheses concerning firm innovation, knowledge sources, management practices, and gender issues in relation to firms’ adaptation to this crisis. I test these assertions using data from two rounds of surveys involving more than 11,000 firms from 28 countries both before and after COVID-19 was officially declared a global crisis. The empirical results provide prima facie evidence that innovators, in particular those who are younger (i.e. start-ups) and those who rely on internal sources of knowledge, are more likely to adapt to COVID-19 than non-innovators. Moreover, firms with better management practices exhibit also greater ability to adapt to the crisis. I did not find systematic gender differences upon examining firms managed by women versus men. Following these findings, I set out several implications for research and policy.

Text
SK_COVID-adaptation-full-paper - Accepted Manuscript
Download (947kB)
Text
SK_COVID-adaptation-full-paper
Download (947kB)

More information

Accepted/In Press date: 28 July 2021
e-pub ahead of print date: 30 July 2021
Published date: 4 February 2022

Identifiers

Local EPrints ID: 497789
URI: http://eprints.soton.ac.uk/id/eprint/497789
ISSN: 0166-4972
PURE UUID: 969f71b3-7d1d-4682-97ec-a2e319880a5b
ORCID for Sorin M.S. Krammer: ORCID iD orcid.org/0000-0002-5773-9514

Catalogue record

Date deposited: 31 Jan 2025 17:40
Last modified: 04 Feb 2025 05:01

Export record

Altmetrics

Contributors

Author: Sorin M.S. Krammer ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×