Big data in financial management a structured literature review and opportunities for IS research
Paper
Paper/Presentation Title | Big data in financial management a structured literature review and opportunities for IS research |
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Presentation Type | Paper |
Authors | |
Author | Cockcroft, Sophie |
Editors | Van Der Meer, Rosemary V. |
Journal or Proceedings Title | Proceedings of the 27th Australasian Conference on Information Systems (ACIS 2016) |
Number of Pages | 12 |
Year | 2016 |
Place of Publication | Australia |
ISBN | 9781741282672 |
Web Address (URL) of Paper | https://aisel.aisnet.org/acis2016/14/ |
Web Address (URL) of Conference Proceedings | https://aisel.aisnet.org/acis2016/ |
Conference/Event | 27th Australasian Conference on Information Systems (ACIS 2016) |
Event Details | Rank A A A A A |
Event Details | 27th Australasian Conference on Information Systems (ACIS 2016) Parent Australasian Conference on Information Systems (ACIS) Delivery In person Event Date 05 to end of 07 Dec 2016 Event Location Wollongong, Australia |
Abstract | Information Systems to support Finance and Accounting functions within organisations form the backbone of modern commerce. Big data has brought a transformational change to this research space the effects of which are starting to be felt in industry and academia. This paper examines the potential research opportunities for the use of 'Big data' in the cross disciplinary space of Information Systems, Accounting and Finance. We examine literature at the confluence of these three disciplines to identify current research approaches. An analysis is presented of 47 accounting and finance and information systems (IS) journals from 2007-2016 to identify key themes emerging. These are presented as a conceptual matrix and explored by means of this matrix and a theoretical framework that situates the emerging themes |
Keywords | big data, decision making, accounting, finance |
ANZSRC Field of Research 2020 | 460908. Information systems organisation and management |
Byline Affiliations | University of Queensland |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q519v/big-data-in-financial-management-a-structured-literature-review-and-opportunities-for-is-research
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