- Title
- Designing an AI-Driven Talent Intelligence Solution: Exploring Big Data to Extend the TOE Framework
- Creator
- Faqihi, Ali; Miah, Shah J.
- Relation
- Big Data Intelligence and Computing International Conference, DataCom 2022. Proceedings of the Big Data Intelligence and Computing International Conference, DataCom 2022 (Denaru, Fiji 8-12-2022) p. 69-82
- Publisher Link
- http://dx.doi.org/10.1007/978-981-99-2233-8_5
- Publisher
- Springer
- Resource Type
- conference paper
- Date
- 2023
- Description
- AI has the potential to improve approaches to talent management enabling dynamic provisions through implementing advanced automation. This study aims to identify the new requirements for developing AI-oriented artifacts to address talent management issues. Focusing on enhancing interactions between professional assessment and planning attributes, the design artifact is an intelligent employment automation solution for career guidance that is largely dependent on a talent intelligent module and an individual’s growth needs. A design science method is adopted for conducting the experimental study with structured machine learning techniques which is the primary element of a comprehensive AI solution framework informed through a proposed moderation of the technology-organization-environment (TOE) theory. Moreover, the study will recommend practical directions for an IS researcher for addressing unique talent growth requirements in the organization and automated features in talent management solutions.
- Subject
- talent intelligence; AI; design artifact; career centre; design research
- Identifier
- http://hdl.handle.net/1959.13/1487237
- Identifier
- uon:52081
- Identifier
- ISBN:9789819922321
- Language
- eng
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