Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda

2.50
Hdl Handle:
http://hdl.handle.net/10547/623124
Title:
Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda
Authors:
Duan, Yanqing; Edwards, John S. ( 0000-0003-3979-017X ) ; Dwivedi, Yogesh Kumar ( 0000-0002-5547-9990 )
Abstract:
Artificial intelligence (AI) has been in existence for over six decades and has experienced AI winters and springs. The rise of super computing power and Big Data technologies appear to have empowered AI in recent years. The new generation of AI is rapidly expanding and has again become an attractive topic for research. This paper aims to identify the challenges associated with the use and impact of revitalised AI based systems for decision making and offer a set of research propositions for information systems (IS) researchers. The paper first provides a view of the history of AI through the relevant papers published in the International Journal of Information Management (IJIM). It then discusses AI for decision making in general and the specific issues regarding the interaction and integration of AI to support or replace human decision makers in particular. To advance research on the use of AI for decision making in the era of Big Data, the paper offers twelve research propositions for IS researchers in terms of conceptual and theoretical development, AI technology-human interaction, and AI implementation.
Affiliation:
University of Bedfordshire; Aston University; Swansea University
Citation:
Duan Y, Edwards J.S., Dwivedi Y (2019) 'Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda', International Journal of Information Management, 48, pp.63-71.
Publisher:
Elsevier
Journal:
International Journal of Information Management
Issue Date:
7-Feb-2019
URI:
http://hdl.handle.net/10547/623124
DOI:
10.1016/j.ijinfomgt.2019.01.021
Additional Links:
https://www.sciencedirect.com/science/article/pii/S0268401219300581
Type:
Article
Language:
en
ISSN:
0268-4012
Appears in Collections:
Business and management

Full metadata record

DC FieldValue Language
dc.contributor.authorDuan, Yanqingen
dc.contributor.authorEdwards, John S.en
dc.contributor.authorDwivedi, Yogesh Kumaren
dc.date.accessioned2019-02-08T11:23:29Z-
dc.date.available2019-02-08T11:23:29Z-
dc.date.issued2019-02-07-
dc.identifier.citationDuan Y, Edwards J.S., Dwivedi Y (2019) 'Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda', International Journal of Information Management, 48, pp.63-71.en
dc.identifier.issn0268-4012-
dc.identifier.doi10.1016/j.ijinfomgt.2019.01.021-
dc.identifier.urihttp://hdl.handle.net/10547/623124-
dc.description.abstractArtificial intelligence (AI) has been in existence for over six decades and has experienced AI winters and springs. The rise of super computing power and Big Data technologies appear to have empowered AI in recent years. The new generation of AI is rapidly expanding and has again become an attractive topic for research. This paper aims to identify the challenges associated with the use and impact of revitalised AI based systems for decision making and offer a set of research propositions for information systems (IS) researchers. The paper first provides a view of the history of AI through the relevant papers published in the International Journal of Information Management (IJIM). It then discusses AI for decision making in general and the specific issues regarding the interaction and integration of AI to support or replace human decision makers in particular. To advance research on the use of AI for decision making in the era of Big Data, the paper offers twelve research propositions for IS researchers in terms of conceptual and theoretical development, AI technology-human interaction, and AI implementation.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S0268401219300581en
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectartificial intelligenceen
dc.subjectdecision makingen
dc.subjectBig dataen
dc.subjectN100 Business studiesen
dc.titleArtificial intelligence for decision making in the era of Big Data – evolution, challenges and research agendaen
dc.typeArticleen
dc.contributor.departmentUniversity of Bedfordshireen
dc.contributor.departmentAston Universityen
dc.contributor.departmentSwansea Universityen
dc.identifier.journalInternational Journal of Information Managementen
dc.date.updated2019-02-08T11:12:57Z-
dc.description.noteIf this is to be eligible for REF it will need to have a full text file attached, this cannot be final published pdf but can be the version after review but before publisher formatting. We will keep it under embargo until 18 months after publication date. Version supplied. 18m embargo-
This item is licensed under a Creative Commons License
Creative Commons
All Items in UOBREP are protected by copyright, with all rights reserved, unless otherwise indicated.