Abstract
Artificial intelligence has emerged as a research field. Recently, there has been a remarkable increase in the adoption of AI technology in organizations as new forms of work have increased substantially. Despite the envisaged benefits of AI adoption, many organizations still struggle to drive their AI adoption forward. This study leads to the closing of this gap by conducting a thorough analysis of the current state of AI adoption and the main barriers to AI adoption among Australian organizations. To do so, we draw on The Technology-Organizations-Environment (TOE) framework to categorize the factors inhibiting AI adoption at organization-level. This paper reports on the results of an online questionnaire involving 207 small, medium and large-sized organizations about their level of AI adoption and barriers. The study offers insights and a research agenda to help executives and top-level managers prepare for AI adoption, and to make informed decisions to speed up the adoption process.
| Original language | English |
|---|---|
| Title of host publication | AMCIS 2019 Proceedings |
| Editors | Martin Santana, Ramiro Montealegre |
| Place of Publication | Atlanta GA USA |
| Publisher | Association for Information Systems |
| Number of pages | 10 |
| ISBN (Electronic) | 9780996683180 |
| Publication status | Published - 2019 |
| Event | Americas Conference on Information Systems 2019 - Cancun, Mexico Duration: 15 Aug 2019 → 17 Aug 2019 Conference number: 25th https://amcis2019.aisconferences.org/ |
Conference
| Conference | Americas Conference on Information Systems 2019 |
|---|---|
| Abbreviated title | AMCIS 2019 |
| Country | Mexico |
| City | Cancun |
| Period | 15/08/19 → 17/08/19 |
| Internet address |
Keywords
- AI barries
- Artificial intelligence
- IS adoption
- TOE framework
Cite this
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Factors inhibiting the adoption of artificial intelligence at organizational-level : a preliminary investigation. / Alsheiabni, Sulaiman; Cheung, Yen; Messom, Chris.
AMCIS 2019 Proceedings. ed. / Martin Santana; Ramiro Montealegre. Atlanta GA USA : Association for Information Systems, 2019.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
TY - GEN
T1 - Factors inhibiting the adoption of artificial intelligence at organizational-level
T2 - a preliminary investigation
AU - Alsheiabni, Sulaiman
AU - Cheung, Yen
AU - Messom, Chris
PY - 2019
Y1 - 2019
N2 - Artificial intelligence has emerged as a research field. Recently, there has been a remarkable increase in the adoption of AI technology in organizations as new forms of work have increased substantially. Despite the envisaged benefits of AI adoption, many organizations still struggle to drive their AI adoption forward. This study leads to the closing of this gap by conducting a thorough analysis of the current state of AI adoption and the main barriers to AI adoption among Australian organizations. To do so, we draw on The Technology-Organizations-Environment (TOE) framework to categorize the factors inhibiting AI adoption at organization-level. This paper reports on the results of an online questionnaire involving 207 small, medium and large-sized organizations about their level of AI adoption and barriers. The study offers insights and a research agenda to help executives and top-level managers prepare for AI adoption, and to make informed decisions to speed up the adoption process.
AB - Artificial intelligence has emerged as a research field. Recently, there has been a remarkable increase in the adoption of AI technology in organizations as new forms of work have increased substantially. Despite the envisaged benefits of AI adoption, many organizations still struggle to drive their AI adoption forward. This study leads to the closing of this gap by conducting a thorough analysis of the current state of AI adoption and the main barriers to AI adoption among Australian organizations. To do so, we draw on The Technology-Organizations-Environment (TOE) framework to categorize the factors inhibiting AI adoption at organization-level. This paper reports on the results of an online questionnaire involving 207 small, medium and large-sized organizations about their level of AI adoption and barriers. The study offers insights and a research agenda to help executives and top-level managers prepare for AI adoption, and to make informed decisions to speed up the adoption process.
KW - AI barries
KW - Artificial intelligence
KW - IS adoption
KW - TOE framework
UR - http://www.scopus.com/inward/record.url?scp=85073507710&partnerID=8YFLogxK
M3 - Conference Paper
AN - SCOPUS:85073507710
BT - AMCIS 2019 Proceedings
A2 - Santana, Martin
A2 - Montealegre, Ramiro
PB - Association for Information Systems
CY - Atlanta GA USA
ER -