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A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy
While embracing digitalization that is further accentuated by the Covid-19 pandemic, the real business outcome is achieved through a robust and well-crafted ‘Data Science Strategy’ (DSS), as significant constituent of Enterprise Digital Strategy. Extant literature has studied the challenges in adopt...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8787973/ http://dx.doi.org/10.1007/s10257-022-00550-x |
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author | Reddy, Rajesh Chidananda Bhattacharjee, Biplab Mishra, Debasisha Mandal, Anandadeep |
author_facet | Reddy, Rajesh Chidananda Bhattacharjee, Biplab Mishra, Debasisha Mandal, Anandadeep |
author_sort | Reddy, Rajesh Chidananda |
collection | PubMed |
description | While embracing digitalization that is further accentuated by the Covid-19 pandemic, the real business outcome is achieved through a robust and well-crafted ‘Data Science Strategy’ (DSS), as significant constituent of Enterprise Digital Strategy. Extant literature has studied the challenges in adoption of components of ‘Data Science’ in discrete for various industry sectors and domains. There is dearth of studies on comprehensive ‘Data Science’ adoption as an umbrella constituting all of its components. The study conducts a “Systematic Literature Review (SLR)” on enablers and barriers affecting the implementation and success of DSS in enterprises. The SLR comprised of 113 published articles during the period 1998 and 2021. In this SLR, we address the gap by synthesizing and proposing a novel framework of ‘Enablers and Barriers’ influencing the success of DSS in enterprises. The proposed framework of ‘Data Science Strategy’ can help organizations taking the right steps towards successful implementation of ‘Data Science’ projects. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10257-022-00550-x. |
format | Online Article Text |
id | pubmed-8787973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-87879732022-01-25 A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy Reddy, Rajesh Chidananda Bhattacharjee, Biplab Mishra, Debasisha Mandal, Anandadeep Inf Syst E-Bus Manage Original Article While embracing digitalization that is further accentuated by the Covid-19 pandemic, the real business outcome is achieved through a robust and well-crafted ‘Data Science Strategy’ (DSS), as significant constituent of Enterprise Digital Strategy. Extant literature has studied the challenges in adoption of components of ‘Data Science’ in discrete for various industry sectors and domains. There is dearth of studies on comprehensive ‘Data Science’ adoption as an umbrella constituting all of its components. The study conducts a “Systematic Literature Review (SLR)” on enablers and barriers affecting the implementation and success of DSS in enterprises. The SLR comprised of 113 published articles during the period 1998 and 2021. In this SLR, we address the gap by synthesizing and proposing a novel framework of ‘Enablers and Barriers’ influencing the success of DSS in enterprises. The proposed framework of ‘Data Science Strategy’ can help organizations taking the right steps towards successful implementation of ‘Data Science’ projects. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10257-022-00550-x. Springer Berlin Heidelberg 2022-01-25 2022 /pmc/articles/PMC8787973/ http://dx.doi.org/10.1007/s10257-022-00550-x Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Reddy, Rajesh Chidananda Bhattacharjee, Biplab Mishra, Debasisha Mandal, Anandadeep A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy |
title | A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy |
title_full | A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy |
title_fullStr | A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy |
title_full_unstemmed | A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy |
title_short | A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy |
title_sort | systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8787973/ http://dx.doi.org/10.1007/s10257-022-00550-x |
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