Conceptualising Management of Artificial Intelligence in Terms of People, Process, Data and Technology

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

2 Citations (Scopus)

Abstract

Artificial Intelligence (AI) is an area of organisational activity that attempts to build human intelligence and intelligent behaviours into information and computer systems. As a domain of study AI is characterised by, diverse opinions as to its nature, and an industry approach with limited research reporting the outcome of proposed frameworks in areas such as urban innovation, good society, and management in public industry. In this paper, we examine the use of people, process, data, and technology (2PDT) as a possible means for bringing structure to the study of the AI domain. We demonstrate its effective use in the formulation of research questions, research design, data collection, and analysis. We argue that AI is a domain of interest to the information systems discipline and that formulation of 2PDT seems to offer a useful conceptual framework examining this phenomenon.

Original languageEnglish
Title of host publicationProceedings of Australian Conference on Information Systems 2021
Place of PublicationUnited States
PublisherAssociation for Information Systems
Pages1-12
Number of pages12
Publication statusPublished - 2021
Event32nd Australasian Conference on Information Systems: Information Systems for a Sustainable Future, Connectedness, and Social Good, ACIS 2021: Information Systems for a Sustainable Future, Connectedness, and Social Good - Australia, Sydney, Australia
Duration: 6 Dec 202110 Dec 2021
https://www.acis2021.org/

Conference

Conference32nd Australasian Conference on Information Systems: Information Systems for a Sustainable Future, Connectedness, and Social Good, ACIS 2021
Abbreviated titleACIS 2021
Country/TerritoryAustralia
CitySydney
Period6/12/2110/12/21
Internet address

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