Impact of big data analytics on innovation and learning performance

Surajit Bag, Arnesh Telukdarie

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Big data analytics plays a key role in this era of fourth industrial revolution. However, the impact of big data analytics capabilities on innovative product development and employee development and finally on innovation and learning performance have not been thoroughly examined. To address the gap in existing literature, here research team draws on Dynamic capability view theory to conceptualise a theoretical framework. The unique contribution of this study is the theoretical framework and seven research propositions. Future research plan is to test the theoretical framework and suggest insights for supply chain managers.

Original languageEnglish
Title of host publication4th North American IEOM Conference. IEOM 2019
PublisherIEOM Society
Pages314-318
Number of pages5
ISBN (Print)9781532359507
Publication statusPublished - 2019
Event4th North American IEOM Conference. IEOM 2019 - Toronto, Canada
Duration: 23 Oct 201925 Oct 2019

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
ISSN (Electronic)2169-8767

Conference

Conference4th North American IEOM Conference. IEOM 2019
Country/TerritoryCanada
CityToronto
Period23/10/1925/10/19

Keywords

  • Big data analytics
  • Dynamic capability view theory
  • Innovation
  • Learning

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'Impact of big data analytics on innovation and learning performance'. Together they form a unique fingerprint.

Cite this