Understanding the adoption of business analytics and intelligence

Frederico Cruz-Jesus; Tiago Oliveira; Mijail Naranjo-Zolotov

doi:10.1007/978-3-319-77703-0_106

Understanding the adoption of business analytics and intelligence

Frederico Cruz-Jesus, Tiago Oliveira, Mijail Naranjo-Zolotov

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

22 Citations (Scopus)

252 Downloads (Pure)

Abstract

Our work addresses the factors that influence the adoption of business analytics and intelligence (BAI) among firms. Grounded on some of the most prominent adoption models for technological innovations, we developed a conceptual model especially suited for BAI. Based on this we propose an instrument in which relevant hypotheses will be derived and tested by means of statistical analysis. We hope that the findings derived from our analysis may offer important insights for practitioners and researchers regarding the drivers that lead to BAI adoption in firms. Although other studies have already focused on the adoption of technological innovations by firms, research on BAI is scarce, hence the relevancy of our research.

Original language	English
Title of host publication	Trends and Advances in Information Systems and Technologies
Editors	Á. Rocha, H. Adeli, L. P. Reis, S. Costanzo
Publisher	Springer Verlag
Pages	1094-1103
Number of pages	10
Volume	745
ISBN (Print)	9783319777023
DOIs	https://doi.org/10.1007/978-3-319-77703-0_106
Publication status	Published - 1 Jan 2018
Event	6th World Conference on Information Systems and Technologies, WorldCIST 2018 - Naples, Italy Duration: 27 Mar 2018 → 29 Mar 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	745
ISSN (Print)	2194-5357

Conference

Conference	6th World Conference on Information Systems and Technologies, WorldCIST 2018
Country/Territory	Italy
City	Naples
Period	27/03/18 → 29/03/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth

Keywords

Business analytics and intelligence
Diffusion of Innovations
Institutional theory
IT adoption
Technology-organization-environment

Access to Document

10.1007/978-3-319-77703-0_106

Understanding the adoption of business analytics and intelligenceAccepted author manuscript, 746 KBLicence: CC BY-NC

Cite this

Cruz-Jesus, F., Oliveira, T., & Naranjo-Zolotov, M. (2018). Understanding the adoption of business analytics and intelligence. In Á. Rocha, H. Adeli, L. P. Reis, & S. Costanzo (Eds.), Trends and Advances in Information Systems and Technologies (Vol. 745, pp. 1094-1103). (Advances in Intelligent Systems and Computing; Vol. 745). Springer Verlag. https://doi.org/10.1007/978-3-319-77703-0_106

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author = "Frederico Cruz-Jesus and Tiago Oliveira and Mijail Naranjo-Zolotov",

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Cruz-Jesus, F , Oliveira, T & Naranjo-Zolotov, M 2018, Understanding the adoption of business analytics and intelligence. in Á Rocha, H Adeli, LP Reis & S Costanzo (eds), Trends and Advances in Information Systems and Technologies. vol. 745, Advances in Intelligent Systems and Computing, vol. 745, Springer Verlag, pp. 1094-1103, 6th World Conference on Information Systems and Technologies, WorldCIST 2018, Naples, Italy, 27/03/18. https://doi.org/10.1007/978-3-319-77703-0_106

Understanding the adoption of business analytics and intelligence. / Cruz-Jesus, Frederico ; Oliveira, Tiago ; Naranjo-Zolotov, Mijail.
Trends and Advances in Information Systems and Technologies. ed. / Á. Rocha; H. Adeli; L. P. Reis; S. Costanzo. Vol. 745 Springer Verlag, 2018. p. 1094-1103 (Advances in Intelligent Systems and Computing; Vol. 745).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Our work addresses the factors that influence the adoption of business analytics and intelligence (BAI) among firms. Grounded on some of the most prominent adoption models for technological innovations, we developed a conceptual model especially suited for BAI. Based on this we propose an instrument in which relevant hypotheses will be derived and tested by means of statistical analysis. We hope that the findings derived from our analysis may offer important insights for practitioners and researchers regarding the drivers that lead to BAI adoption in firms. Although other studies have already focused on the adoption of technological innovations by firms, research on BAI is scarce, hence the relevancy of our research.

AB - Our work addresses the factors that influence the adoption of business analytics and intelligence (BAI) among firms. Grounded on some of the most prominent adoption models for technological innovations, we developed a conceptual model especially suited for BAI. Based on this we propose an instrument in which relevant hypotheses will be derived and tested by means of statistical analysis. We hope that the findings derived from our analysis may offer important insights for practitioners and researchers regarding the drivers that lead to BAI adoption in firms. Although other studies have already focused on the adoption of technological innovations by firms, research on BAI is scarce, hence the relevancy of our research.

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KW - Diffusion of Innovations

KW - Institutional theory

KW - IT adoption

KW - Technology-organization-environment

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PB - Springer Verlag

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Y2 - 27 March 2018 through 29 March 2018

ER -

Understanding the adoption of business analytics and intelligence

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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