Data-driven Innovation: Understanding the Direction for Future Research

Paper

Samarasinghe, Sasari and Lokuge, Sachithra. 2022. "Data-driven Innovation: Understanding the Direction for Future Research." 33th Australasian conference on information systems (ACIS 2022). Melbourne, Australia 04 202 - 07 Dec 2022 Australia. AIS Electronic Library.
Paper/Presentation Title

Data-driven Innovation: Understanding the Direction for Future Research

Presentation TypePaper
AuthorsSamarasinghe, Sasari and Lokuge, Sachithra
Journal or Proceedings TitleProceedings of the 33th Australasian conference on information systems (ACIS 2022)
Number of Pages8
Year2022
PublisherAIS Electronic Library
Place of PublicationAustralia
Web Address (URL) of Paperhttps://aisel.aisnet.org/acis2022/16/
Web Address (URL) of Conference Proceedingshttps://aisel.aisnet.org/acis2022/
Conference/Event33th Australasian conference on information systems (ACIS 2022)
Event Details
33th Australasian conference on information systems (ACIS 2022)
Parent
Australasian Conference on Information Systems (ACIS)
Delivery
In person
Event Date
04 Dec 0202 to end of 07 Dec 2022
Event Location
Melbourne, Australia
Event Venue
University of Melbourne
Rank
A
A
A
A
Abstract

In the contemporary age of information, organisations have realised the importance of “data” to innovate and thereby attain a competitive advantage. As a result, firms are more focused on understanding the potential to achieve data-driven innovation (DDI). Researchers too have focused on examining this novel phenomenon in a broader scope. In this study, we conducted a systematic and comprehensive review of the literature to understand the DDI phenomenon. The findings of this study benefit scholars in determining the gaps in the current body of knowledge as well as for practitioners to improve their data strategy to enhance and develop innovation capabilities.

KeywordsData-driven Innovation; Literature Review; Data; Innovation
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020460912. Knowledge and information management
Byline AffiliationsUniversity of Southern Queensland
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