TY - GEN
T1 - Understanding Factors Affecting the Managers' Perception of AI Applications in Information Processing
AU - Duan, Yanqing
AU - Cao, Guangming
AU - Xu, Mark
AU - Ong, Vincent
AU - Dietzmann, Christian
N1 - Publisher Copyright:
© 2021 3rd European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2021. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Artificial Intelligence (AI) bears great potential in supporting and/or replacing managers' information processing activities, but the benefits of AI can only be realized if the organisational managers are willing to use AI for information processing. The academic literature contains very limited theoretical and empirical research focusing on understanding the acceptance and applications of AI in manager's personal information processing. To address this knowledge gap, this work-in-progress paper aims to develop a conceptual framework on factors affecting the managers' perceived roles of AI in their information processing and their intention to use AI. Underpinned by the relevant theories of information processing, the research framework can be used to examine if and to what extent the situational, personal, and performative factors of information systems (IS) influence the managers' perception of AI-based applications in terms of preferred human-AI collaboration modes and levels of AI input in information processing activities. The proposed framework offers a theoretical understanding and development of AI-based applications in the context of information processing from an end user's perspective.
AB - Artificial Intelligence (AI) bears great potential in supporting and/or replacing managers' information processing activities, but the benefits of AI can only be realized if the organisational managers are willing to use AI for information processing. The academic literature contains very limited theoretical and empirical research focusing on understanding the acceptance and applications of AI in manager's personal information processing. To address this knowledge gap, this work-in-progress paper aims to develop a conceptual framework on factors affecting the managers' perceived roles of AI in their information processing and their intention to use AI. Underpinned by the relevant theories of information processing, the research framework can be used to examine if and to what extent the situational, personal, and performative factors of information systems (IS) influence the managers' perception of AI-based applications in terms of preferred human-AI collaboration modes and levels of AI input in information processing activities. The proposed framework offers a theoretical understanding and development of AI-based applications in the context of information processing from an end user's perspective.
KW - AI-human collaboration
KW - artificial intelligence
KW - big data
KW - information processing
UR - https://www.scopus.com/pages/publications/85133685346
U2 - 10.34190/EAIR.21.025
DO - 10.34190/EAIR.21.025
M3 - Conference contribution
AN - SCOPUS:85133685346
T3 - 3rd European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2021
SP - 241
EP - 244
BT - 3rd European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2021
A2 - Matos, Florinda
A2 - Salavisa, Isabel
A2 - Serrao, Carlos
PB - Academic Conferences and Publishing International Limited
T2 - 3rd European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2021
Y2 - 18 November 2021 through 19 November 2021
ER -