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The effects of COVID-19 pandemic on business model elements - Insights from Greek micro and small retailers
Linnaeus University, Faculty of Technology, Department of Informatics.
Univ Appl Sci Upper Austria, Austria.
Linnaeus University, Faculty of Technology, Department of Informatics.ORCID iD: 0000-0003-4301-478X
Univ Appl Sci Upper Austria, Austria.
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2025 (English)In: Journal of General Management, ISSN 0306-3070, E-ISSN 1759-6106Article in journal (Refereed) Epub ahead of print
Abstract [en]

The exogenous shock of COVID-19 strongly challenged Greek retail, especially in small and micro-sized enterprises (SMiEs). In particular, the decline of customer visits in physical retail stores caused by lockdowns and other restrictive measures led to a business threatening reduction of sales. As a result, adjusting business model elements became one of the first priorities for Greek business owners. This paper focuses on the effects of the COVID-19 pandemic on business model elements of Greek SMiE retailers. To investigate this impact, eight expert interviews with Greek SMiE retailers were conducted. Results show that the pandemic situation directly and indirectly affected most of the business model elements of Greek SMiE retailers. Naturally, each studied company displayed unique characteristics as well as different needs and priorities, which facilitated the specific changes in their business model in order to become profitable. However, especially opportunities offered by digital technologies, such as web shops, online advertising, and online customer engagement, were most frequently mentioned to influence business model elements. Thus, this research contributes to the existing body of knowledge in the field of business models and information systems, by providing a business owner perspective on how business model elements were adjusted to the circumstances of the COVID-19 pandemic.

Place, publisher, year, edition, pages
SAGE Publications , 2025.
Keywords [en]
digital transformation, innovation
National Category
Information Systems Business Administration
Research subject
Computer and Information Sciences Computer Science, Information Systems; Economy, Business administration
Identifiers
URN: urn:nbn:se:lnu:diva-138208DOI: 10.1177/03063070251333611ISI: 001466827700001Scopus ID: 2-s2.0-105002638379OAI: oai:DiVA.org:lnu-138208DiVA, id: diva2:1955269
Available from: 2025-04-29 Created: 2025-04-29 Last updated: 2026-08-18

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Allagiannis, IoannisChowdhury, Soumitra

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CiteExportLink to record
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Citation style
  • apa
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