Using business analytics for SME business model transformation under pandemic time pressure

Abstract

The COVID-19 pandemic has had an unprecedented impact on many industry sectors, forcing many companies and particularly Small Medium Enterprises (SMEs) to fundamentally change their business models under extreme time pressure. While there are claims that technologies such as analytics can help such rapid transitions, little empirical research exists that shows if or how Business Analytics (BA) supports the adaptation or innovation of SMEs’ business models, let alone within the context of extreme time pressure and turbulence. This study addresses this gap through an exemplar case, where the SME actively used location-based business analytics for rapid business model adaptation and innovation during the Covid-19 crisis. The paper contributes to existing theory by providing a set of propositions, an agenda for future research and a guide for SMEs to assess and implement their own use of analytics for business model transformation.

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Item Type:	Article
Authors/Creators:	Zamani, E. https://orcid.org/0000-0003-3110-7495 Griva, A. Conboy, K.
Copyright, Publisher and Additional Information:	© The Author(s) 2022. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords:	business analytics; business model innovation; business model adaptation; exogenous shock; SMEs; dynamic capabilities
Dates:	Published: August 2022 Published (online): 2 March 2022 Accepted: 30 January 2022
Institution:	The University of Sheffield
Academic Units:	The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User:	Symplectic Sheffield
Date Deposited:	08 Feb 2022 14:52
Last Modified:	05 Dec 2022 17:11
Status:	Published
Publisher:	Springer Verlag
Refereed:	Yes
Identification Number:	10.1007/s10796-022-10255-8
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:183205

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Using business analytics for SME business model transformation under pandemic time pressure

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