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 language | English |
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Title of host publication | Proceedings of Australian Conference on Information Systems 2021 |
Place of Publication | United States |
Publisher | Association for Information Systems |
Pages | 1-12 |
Number of pages | 12 |
Publication status | Published - 2021 |
Event | 32nd 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 2021 → 10 Dec 2021 https://www.acis2021.org/ |
Conference
Conference | 32nd Australasian Conference on Information Systems: Information Systems for a Sustainable Future, Connectedness, and Social Good, ACIS 2021 |
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Abbreviated title | ACIS 2021 |
Country/Territory | Australia |
City | Sydney |
Period | 6/12/21 → 10/12/21 |
Internet address |