BROWSE

Related Researcher

Author's Photo

Comuzzi, Marco
Intelligent Enterprise Lab (IEL)
Research Interests
  • business process management, enterprise systems, process monitoring, compliance
  • management, ERP system, business network, design science

ITEM VIEW & DOWNLOAD

How organisations leverage Big Data: A maturity model

Cited 0 times inthomson ciCited 0 times inthomson ci
Title
How organisations leverage Big Data: A maturity model
Author
Comuzzi, MarcoPatel, Anit
Issue Date
2016-08
Publisher
EMERALD GROUP PUBLISHING LIMITED
Citation
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, v.116, no.8, pp.1468 - 1492
Abstract
Purpose - While it is commonly recognised that Big Data have an immense potential to generate value for business organisations, appropriating value from Big Data and, in particular, Big Dataenabled analytics is still an open issue for many organisations. The purpose of this paper is to develop a maturity model to support organisations in the realisation of the value created by Big Data. Design/methodology/approach - The maturity model is developed following a qualitative approach based on literature analysis and semi-structured interviews with domain experts. The completeness and usefulness of the model is evaluated qualitatively by practitioners, whereas the applicability of the model is evaluated by Big Data maturity assessments in three real-world organisations. Findings - The proposed maturity model is considered exhaustive by domain experts and has helped the three assessed organisations to develop a more critical understanding of the next steps to take. Originality/value - The maturity model integrates existing industry-developed maturity models into one single coherent Big Data maturity model. The proposed model answers the call for research on Big Data to abstract from technical issues to focus on the business implications of Big Data initiatives.
URI
https://scholarworks.unist.ac.kr/handle/201301/20580
URL
http://www.emeraldinsight.com/doi/abs/10.1108/IMDS-12-2015-0495
DOI
10.1108/IMDS-12-2015-0495
ISSN
0263-5577
Appears in Collections:
SME_Journal Papers
Files in This Item:
There are no files associated with this item.

find_unist can give you direct access to the published full text of this article. (UNISTARs only)

Show full item record

qrcode

  • mendeley

    citeulike

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

MENU