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Identifying Digital Transformation Paths in the Business Model of SMEs during the COVID-19 Pandemic

The objective of this study was to analyze how small and medium enterprises (SMEs) cope with environmental changes due to the COVID-19 pandemic by pursuing the business model transformation with the support of digital technologies. To achieve the objective, this study used a multiple case study desi...

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Autores principales: Priyono, Anjar, Moin, Abdul, Putri, Vera Nur Aini Oktaviani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: the authors. Published by Elsevier Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906477/
http://dx.doi.org/10.3390/joitmc6040104
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author Priyono, Anjar
Moin, Abdul
Putri, Vera Nur Aini Oktaviani
author_facet Priyono, Anjar
Moin, Abdul
Putri, Vera Nur Aini Oktaviani
author_sort Priyono, Anjar
collection PubMed
description The objective of this study was to analyze how small and medium enterprises (SMEs) cope with environmental changes due to the COVID-19 pandemic by pursuing the business model transformation with the support of digital technologies. To achieve the objective, this study used a multiple case study design with qualitative analysis to examine the data obtained from interviews, observation, and field visits. Seven manufacturing SMEs from Indonesia were selected using a theoretical sampling technique, with the purpose of achieving some degree of variation to allow us to undertake replication logic. Our analysis demonstrates that SMEs adopt a different degree of digital transformations, which can be summarized into three paths, depending on the firms’ contextual factors. First, SMEs with a high level of digital maturity who respond to the challenges by accelerating the transition toward digitalized firms; second, SMEs experiencing liquidity issues but a low level of digital maturity who decide to digitalize the sales function only; and, third, the SMEs that have very limited digital literacy but are supported by a high level of social capital. This last group of firms solves the challenges by finding partners who possess excellent digital capabilities. The qualitative case study method allows us to conduct in-depth and detailed analysis, but has thin generalizability. To address this limitation, future research can use a survey covering various industries to test the proposed theory that has resulted from this study, so that the generalizability can be assured.
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spelling pubmed-99064772023-02-08 Identifying Digital Transformation Paths in the Business Model of SMEs during the COVID-19 Pandemic Priyono, Anjar Moin, Abdul Putri, Vera Nur Aini Oktaviani Journal of Open Innovation: Technology, Market, and Complexity Article The objective of this study was to analyze how small and medium enterprises (SMEs) cope with environmental changes due to the COVID-19 pandemic by pursuing the business model transformation with the support of digital technologies. To achieve the objective, this study used a multiple case study design with qualitative analysis to examine the data obtained from interviews, observation, and field visits. Seven manufacturing SMEs from Indonesia were selected using a theoretical sampling technique, with the purpose of achieving some degree of variation to allow us to undertake replication logic. Our analysis demonstrates that SMEs adopt a different degree of digital transformations, which can be summarized into three paths, depending on the firms’ contextual factors. First, SMEs with a high level of digital maturity who respond to the challenges by accelerating the transition toward digitalized firms; second, SMEs experiencing liquidity issues but a low level of digital maturity who decide to digitalize the sales function only; and, third, the SMEs that have very limited digital literacy but are supported by a high level of social capital. This last group of firms solves the challenges by finding partners who possess excellent digital capabilities. The qualitative case study method allows us to conduct in-depth and detailed analysis, but has thin generalizability. To address this limitation, future research can use a survey covering various industries to test the proposed theory that has resulted from this study, so that the generalizability can be assured. the authors. Published by Elsevier Ltd 2020-12 2022-12-31 /pmc/articles/PMC9906477/ http://dx.doi.org/10.3390/joitmc6040104 Text en © 2020 the authors. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Priyono, Anjar
Moin, Abdul
Putri, Vera Nur Aini Oktaviani
Identifying Digital Transformation Paths in the Business Model of SMEs during the COVID-19 Pandemic
title Identifying Digital Transformation Paths in the Business Model of SMEs during the COVID-19 Pandemic
title_full Identifying Digital Transformation Paths in the Business Model of SMEs during the COVID-19 Pandemic
title_fullStr Identifying Digital Transformation Paths in the Business Model of SMEs during the COVID-19 Pandemic
title_full_unstemmed Identifying Digital Transformation Paths in the Business Model of SMEs during the COVID-19 Pandemic
title_short Identifying Digital Transformation Paths in the Business Model of SMEs during the COVID-19 Pandemic
title_sort identifying digital transformation paths in the business model of smes during the covid-19 pandemic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906477/
http://dx.doi.org/10.3390/joitmc6040104
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