Development and Initial Validation of the Big Data Framework for Agile Business: Transformational Innovation Initiative

  • Bhuvan UnhelkarEmail author
  • Joe Askren
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 69)


This paper presents the development of Big Data Framework for Agile Business (BDFAB) and its initial validation. BDFAB is a strategic framework comprising values, roles, phases, artifacts, practices, business parameters, a compendium of transformation processes and the Big Data manifesto. BDFAB has direct and practical impact in reducing risks in digital business transformation capitalizing on Big Data. This position paper highlights the implications of Big Data from a strategic viewpoint and, thereby, contributes to both industrial and academic understanding of BDFAB.


Big data strategies Big Data Framework for Agile Business Risk reduction in big data adoption Strategies for adopting big data Data science application 


  1. 1.
    IBM: Deriving high value from data (2017).
  2. 2.
    Government design service manual (2016).
  3. 3.
    Van Aken, J.E.: Management research as a design science: articulating the research products of mode 2 knowledge production in management. Br. J. Manag. 16(1), 19–36 (2005)CrossRefGoogle Scholar
  4. 4.
    Vaishnavi, V., Kuechler, W.: Design research in information systems (2004).
  5. 5.
    Kuechler, B., Vaishnavi, V.: On theory development in design science research: anatomy of a research project. Eur. J. Inf. Syst. 17(5), 489–504 (2008).”_/o_”Vijay_Vaishnavi”_VaishnaviCrossRefGoogle Scholar
  6. 6.
    Kolb, A.Y., Kolb, D.A.: Learning styles and learning spaces: enhancing experiential learning in higher education. Acad. Manag. Learn. Educ. 2(4), 193–212 (2005)CrossRefGoogle Scholar
  7. 7.
    Askren, J.T.: An exploratory case study of hospitality students’ perceptions of experiential learning. Retrieved from ProQuest Dissertation and Theses: Full Text, (Order No. 10266893): Dissertation (2017)Google Scholar
  8. 8.
    Dull, T., Buff, A.: Getting the right people on the big data bus: a SAS best practices white paper. [Online]. Available:
  9. 9.
  10. 10.
    Six patterns of big data and analytics adoption: the importance of information architecture.
  11. 11.
    Six patterns of big data and analytics adoption: the importance of information architecture.
  12. 12.
    OMG: Objective management group: business process model and notation (2016).
  13. 13.
    Baxter, P., Jack, S.: Qualitative case study methodology: study design and implementation for novice researchers. Qual. Rep. 13(4), 544–559 (2008)Google Scholar
  14. 14.
    Ruhanen, L.: Bridging the divide between theory and practice: experiential learning approaches for tourism and hospitality management education. J. Teach. Travel. Tour. 5(4), 35–39 (2005)Google Scholar
  15. 15.
    Yang, H., Cheung, C.: Towards an understanding of experiential learning in China’s hospitality education. J. China Tour. Res. 10(2), 222–235 (2014)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.University of South Florida Sarasota-Manatee (College of Business)SarasotaUSA
  2. 2.University of South Florida Sarasota-Manatee (College of Hospitality and Tourism Leadership)SarasotaUSA

Personalised recommendations