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Published in: Information Systems and e-Business Management 1/2022

25-01-2022 | Original Article

A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy

Authors: Rajesh Chidananda Reddy, Biplab Bhattacharjee, Debasisha Mishra, Anandadeep Mandal

Published in: Information Systems and e-Business Management | Issue 1/2022

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Abstract

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.

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Appendix
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Metadata
Title
A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy
Authors
Rajesh Chidananda Reddy
Biplab Bhattacharjee
Debasisha Mishra
Anandadeep Mandal
Publication date
25-01-2022
Publisher
Springer Berlin Heidelberg
Published in
Information Systems and e-Business Management / Issue 1/2022
Print ISSN: 1617-9846
Electronic ISSN: 1617-9854
DOI
https://doi.org/10.1007/s10257-022-00550-x

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