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

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

    Research output: Contribution to journalArticlepeer-review

    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.

    Original languageEnglish
    Pages (from-to)223-255
    Number of pages33
    JournalInformation Systems and e-Business Management
    Volume20
    Issue number1
    Early online date25 Jan 2022
    DOIs
    Publication statusPublished - Mar 2022

    Bibliographical note

    My contribution includes writing and synthesis of the literature review and developing the literature review protocol.

    Publisher Copyright:
    © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

    Keywords

    • Data science
    • Strategy
    • Enablers
    • Barriers
    • Digitalization

    ASJC Scopus subject areas

    • Information Systems

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