Skip to main content
SpringerLink
Log in
Book cover

World Conference on Information Systems and Technologies

WorldCIST'18 2018: Trends and Advances in Information Systems and Technologies pp 1094–1103Cite as

Understanding the Adoption of Business Analytics and Intelligence

  • Conference paper

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 745))

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.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Morabito, V.: Big Data and Analytics Strategic and Organizational Impacts. Springer International Publishing, Cham (2015). https://doi.org/10.1007/978-3-319-10665-6

    Book  Google Scholar 

  2. Rogers, E.M.: Diffusion of Innovations, 5th edn. Free Press, New York (2005)

    Google Scholar 

  3. Tornatzky, L.G., Fleischer, M.: The Processes of Technological Innovation, p. 301. Lexington Books, Lexington (1990)

    Google Scholar 

  4. DiMaggio, P.J., Powell, W.W.: The iron cage revisited - institutional isomorphism and collective rationality in organizational fields. In: Advances in Strategic Management, vol. 17, pp. 143–166 (2000). Reprinted from the Am. Soc. Assoc. 48, 147–160 (1983)

    Google Scholar 

  5. Bose, I.: Deciding the financial health of dot-coms using rough sets. Inf. Manag. 43(7), 835–846 (2006)

    Article  Google Scholar 

  6. Côrte-Real, N., Oliveira, T., Ruivo, P.: Assessing business value of big data analytics in European firms. J. Bus. Res. 70(Supplement C), 379–390 (2017)

    Article  Google Scholar 

  7. Jagadish, H.V., et al.: Big data and its technical challenges. Commun. ACM 57(7), 86–94 (2014)

    Article  Google Scholar 

  8. Wang, Y., et al.: An integrated big data analytics-enabled transformation model: application to health care. Inf. Manag. 55, 65–79 (2017)

    Google Scholar 

  9. Davenport, T.H.: Competing on analytics. Harv. Bus. Rev. 84, 1–12 (2006)

    Google Scholar 

  10. Vidgen, R., Shaw, S., Grant, D.B.: Management challenges in creating value from business analytics. Eur. Jo. Oper. Res. 261(2), 626–639 (2017)

    Article  Google Scholar 

  11. Anderson-Lehman, R., et al.: Continental airlines flies high with real-time business intelligence. MIS Q. Exec. 3(4), 163–176 (2004)

    Google Scholar 

  12. Cooper, B.L., et al.: Data warehousing supports corporate strategy at First American Corporation. MIS Q. 24(4), 547–567 (2000)

    Article  Google Scholar 

  13. Jourdan, Z., Rainer, R.K., Marshall, T.E.: Business intelligence: an analysis of the literature. Inf. Syst. Manag. 25(2), 121–131 (2008)

    Article  Google Scholar 

  14. Oliveira, T., Martins, M.F.: Information technology adoption models at firm level: review of literature. Electron. J. Inf. Syst. Eval. 14(3), 123–134 (2011)

    Google Scholar 

  15. Hsu, P.-F., Kraemer, K.L., Dunkle, D.: Determinants of e-business use in U.S. firms. Int. J. Electron. Commer. 10(4), 9–45 (2006)

    Article  Google Scholar 

  16. Scott, W.R.: Institutions and Organizations, 2nd edn. Sage Publications, Thousand Oaks (2001)

    Google Scholar 

  17. Christensen, S., Scott, W.R. (eds.): The Institutional Construction of Organizations: International and Longitudinal Studies. Sage Publications, Thousand Oaks (1995)

    Google Scholar 

  18. Powell, W.W., DiMaggio, P.: The New Institutionalism in Organizational Analysis. University of Chicago Press, Chicago (1991)

    Google Scholar 

  19. Teo, H.H., Wei, K.K., Benbasat, I.: Predicting intention to adopt interorganizational linkages: an institutional perspective. MIS Q. 27(1), 19–49 (2003)

    Article  Google Scholar 

  20. Haveman, H.A.: Follow the leader - mimetic isomorphism and entry into new markets. Adm. Sci. Quar. 38(4), 593–627 (1993)

    Article  Google Scholar 

  21. Soares-Aguiar, A., Palma-dos-Reis, A.: Why do firms adopt e-procurement systems? Using logistic regression to empirically test a conceptual model. IEEE Trans. Eng. Manag. 55(1), 120–133 (2008)

    Article  Google Scholar 

  22. Popovič, A., Coelho, P.S., Jaklič, J.: The impact of business intelligence system maturity on information quality. Inf. Res. 14(4) (2009). Paper 417

    Google Scholar 

  23. Tornatzky, L.G., Klein, K.J.: Innovation characteristics and innovation adoption-implementation: a meta-analysis of findings. IEEE Trans. Eng. Manag. 29(1), 13 (1982)

    Google Scholar 

  24. Gessner, G.H., Volonino, L.: Quick response improves returns on business intelligence investments. Inf. Syst. Manag. 22(3), 66–74 (2005)

    Article  Google Scholar 

  25. Zhu, K., et al.: Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies. Eur. J. Inf. Syst. 15(6), 601–616 (2006)

    Article  Google Scholar 

  26. Cooper, R.B., Zmud, R.W.: Information technology implementation research: a technological diffusion approach. Manag. Sci. 36(2), 123–139 (1990)

    Article  Google Scholar 

  27. Lee, O.K., et al.: Knowledge management systems diffusion in chinese enterprises: a multistage approach using the technology-organization-environment framework. J. Glob. Inf. Manag. 17(1), 70–84 (2009)

    Article  MathSciNet  Google Scholar 

  28. Kwon, T.H., Zmud, R.W.: Unifying the Fragmented Models of Information Systems Implementation, in Critical Issues in Information Systems Research, pp. 227–251. Wiley, Hoboken (1987)

    Google Scholar 

  29. Oliveira, T., Martins, M.F.: Understanding e-business adoption across industries in European countries. Ind. Manag. Data Syst. 110(9), 1337–1354 (2010)

    Article  Google Scholar 

  30. Iacovou, C.L., Benbasat, I., Dexter, A.S.: Electronic data interchange and small organizations: adoption and impact of technology. MIS Q. 19(4), 465–485 (1995)

    Article  Google Scholar 

  31. Zhu, K., Kraemer, K.L., Xu, S.: The process of innovation assimilation by firms in different countries: a technology diffusion perspective on e-business. Manag. Sci. 58(10), 1557–1576 (2006)

    Article  Google Scholar 

  32. Davenport, T.H., Mule, L.D., Lucker, J.: Know what your customers want before they do. Harv. Bus. Rev. 89(12), 84–92 (2011)

    Google Scholar 

  33. Massa, S., Testa, S.: Data warehouse-in-practice: exploring the function of expectations in organizational outcomes. Inf. Manag. 42(5), 709–718 (2005)

    Article  Google Scholar 

  34. Ramakrishnan, T., Jones, M.C., Sidorova, A.: Factors influencing business intelligence (BI) data collection strategies: an empirical investigation. Decis. Support Syst. 52(2), 486–496 (2012)

    Article  Google Scholar 

  35. Côrte-Real, N., Ruivo, P., Oliveira, T.: The diffusion stages of business intelligence & analytics (BI&A) a systematic mapping study. Procedia Technol. 16(Supplement C), 172–179 (2014)

    Article  Google Scholar 

  36. Bose, R.: Advanced analytics: opportunities and challenges. Ind. Manag. Data Syst. 109(2), 155–172 (2009)

    Article  Google Scholar 

  37. Abbasi, A., Sarker, S., Chiang, R.H.: J. Assoc. Inf. Syst. 17, 3 (2016)

    Google Scholar 

Download references

Acknowledgment

Mijail Naranjo Zolotov gratefully acknowledge the support of Geo-informatics: Enabling Open Cities (GEO-C), the project funded by the European Commission within the Marie Skłodowska-Curie Actions, International Training Networks (ITN), and European Joint Doctorates (EJD). Grant Agreement number 642332 - GEO-C - H2020-MSCA-ITN-2014.

Author information

Authors and Affiliations

  1. NOVA, Information Management School (NOVA IMS), Lisbon, Portugal

    Frederico Cruz-Jesus, Tiago Oliveira & Mijail Naranjo

Authors
  1. Frederico Cruz-Jesus
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tiago Oliveira
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mijail Naranjo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Frederico Cruz-Jesus .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. DSI/EEUM, Universidade do Minho, Guimarães, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Cite this paper

Cruz-Jesus, F., Oliveira, T., Naranjo, M. (2018). Understanding the Adoption of Business Analytics and Intelligence. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-319-77703-0_106

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-77703-0_106

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77702-3

  • Online ISBN: 978-3-319-77703-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation