Dissertation
Organisational Adaptation Implications of Artificial Intelligence (AI) on Organisational Futures
University of the Sunshine Coast, Queensland
Doctor of Philosophy, University of the Sunshine Coast, Queensland
2022
DOI:
https://doi.org/10.25907/00125
Abstract
Organisational environments are continually adapting and have done so since the advent of the first trading business models, thousands of years ago. Traditional approaches to organisational adaptation have often not been inclusive or reflective of a diverse range of perspectives. Strategy has been defined within a narrower and shorter-term band; traditionally a three to five year planning horizon. Many drivers for organisational adaptation have arisen as a result of technological advancements, combined with geo-political and socio-economic shifts. Enter artificial intelligence (AI) and its range of programming languages and applications. As AI technologies evolve and are applied to an expanded range of purposes in corporate and service organisational settings, organisations of the future will adapt form and function. Scenarios of the future may exist where the human will play a secondary role in the context of work. AI may become the leader or functional expert.
This research explores organisational adaptation scenarios and implications as a result of Artificial Intelligence (AI). It commences with investigating the genealogy of AI and the world-views that have supported decision making. The research approach was framed by Anticipatory Action Learning (AAL) (Stevenson, 2002; Inayatullah, 2006). AAL draws on futures research and action learning theories and methodologies. It had not yet been applied to an in-depth exploration of organisational adaptation and emerging AI technologies.
Details
- Title
- Organisational Adaptation Implications of Artificial Intelligence (AI) on Organisational Futures
- Authors
- Elissa Farrow - University of the Sunshine Coast, Queensland, External
- Contributors
- Marcus Bussey (Supervisor) - University of the Sunshine Coast, Queensland, Sustainability Research Cluster
- Awarding institution
- University of the Sunshine Coast, Queensland
- Degree awarded
- Doctor of Philosophy
- Publisher
- University of the Sunshine Coast, Queensland
- DOI
- 10.25907/00125
- Organisation Unit
- University of the Sunshine Coast, Queensland; Engage Research Lab; School of Law and Society; Sustainability Research Cluster
- Language
- English
- Record Identifier
- 99612008302621
- Output Type
- Dissertation
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