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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Determinants of Data Science Adoption in Organizations: Insights From Analyzing the Digital Voice of Practitioners

Determinants of Data Science Adoption in Organizations: Insights From Analyzing the Digital Voice of Practitioners
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Author(s): Mohammad K. Daradkeh (University of Dubai, UAE & Yarmouk University, Jordan)
Copyright: 2022
Pages: 27
Source title: Advanced Practical Approaches to Web Mining Techniques and Application
Source Author(s)/Editor(s): Ahmed J. Obaid (University of Kufa, Iraq), Zdzislaw Polkowski (Wroclaw University of Economics, Poland) and Bharat Bhushan (Sharda University, India)
DOI: 10.4018/978-1-7998-9426-1.ch003



While the hype around data science and its key role in driving business and industry change is pervasive, there is scant insight into the factors underlying its successful and widespread adoption in organizations. This chapter presents a systematic approach that integrates text analytics with technology-organization-environment (TOE) framework to analyze the digital voice of practitioners and identify the factors driving data science adoption in organizations. The authors collected 4100 user-generated reviews for 13 prominent data science platforms from and then categorized them into different topics using Latent-Dirichlet Allocation (LDA) model. From the identified topics, 48 factors were derived and synthesized into a model for data science adoption using the TOE framework. The results reveal that alongside technological capabilities, several organizational and environmental factors can significantly influence data science adoption. The results also provide evidence on the potential impact of data science adoption on various aspects of business performance.

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