EconPapers    
Economics at your fingertips  
 

Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies

Ilias O. Pappas (), Patrick Mikalef (), Michail N. Giannakos (), John Krogstie () and George Lekakos ()
Additional contact information
Ilias O. Pappas: Norwegian University of Science and Technology (NTNU)
Patrick Mikalef: Norwegian University of Science and Technology (NTNU)
Michail N. Giannakos: Norwegian University of Science and Technology (NTNU)
John Krogstie: Norwegian University of Science and Technology (NTNU)
George Lekakos: Athens University of Economics and Business

Information Systems and e-Business Management, 2018, vol. 16, issue 3, No 1, 479-491

Abstract: Abstract The digitalization process and its outcomes in the 21st century accelerate transformation and the creation of sustainable societies. Our decisions, actions and even existence in the digital world generate data, which offer tremendous opportunities for revising current business methods and practices, thus there is a critical need for novel theories embracing big data analytics ecosystems. Building upon the rapidly developing research on digital technologies and the strengths that information systems discipline brings in the area, we conceptualize big data and business analytics ecosystems and propose a model that portraits how big data and business analytics ecosystems can pave the way towards digital transformation and sustainable societies, that is the Digital Transformation and Sustainability (DTS) model. This editorial discusses that in order to reach digital transformation and the creation of sustainable societies, first, none of the actors in the society can be seen in isolation, instead we need to improve our understanding of their interactions and interrelations that lead to knowledge, innovation, and value creation. Second, we gain deeper insight on which capabilities need to be developed to harness the potential of big data analytics. Our suggestions in this paper, coupled with the five research contributions included in the special issue, seek to offer a broader foundation for paving the way towards digital transformation and sustainable societies

Keywords: Analytics; Big data; Digital ecosystems; Digital transformation; Sustainable societies (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (68)

Downloads: (external link)
http://link.springer.com/10.1007/s10257-018-0377-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infsem:v:16:y:2018:i:3:d:10.1007_s10257-018-0377-z

Ordering information: This journal article can be ordered from
http://www.springer. ... ystems/journal/10257

DOI: 10.1007/s10257-018-0377-z

Access Statistics for this article

Information Systems and e-Business Management is currently edited by Jörg Becker and Michael J. Shaw

More articles in Information Systems and e-Business Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:infsem:v:16:y:2018:i:3:d:10.1007_s10257-018-0377-z