Abstract
This paper presents research on how human-algorithm interactions facilitate tacit knowledge conversion in knowledge-intensive industries. The study is based on a multi-case analysis of three Chinese patent medicine (CPM) manufacturing firms, the research investigates how algorithms, interacted with human expertise, contribute to the conversion of tacit knowledge in the CPM sector-encompassing sensory skills, diagnostic intuition, and learned heuristics-into structured, usable knowledge for algorithmic systems. Our findings highlight the iterative and co-constitutive nature of human-algorithm interaction in tacit knowledge conversion, in which both human expertise and algorithmic capabilities dynamically inform each other.
| Original language | English |
|---|---|
| Title of host publication | Americas Conference on Information Systems, AMCIS 2025 |
| Publisher | Association for Information Systems |
| Pages | 784-793 |
| Number of pages | 10 |
| ISBN (Electronic) | 9798331327743 |
| Publication status | Published - 2025 |
| Event | 2025 Americas Conference on Information Systems, AMCIS 2025 - Montreal, Canada Duration: 14 Aug 2025 → 16 Aug 2025 |
Publication series
| Name | Americas Conference on Information Systems, AMCIS 2025 |
|---|---|
| Volume | 2 |
Conference
| Conference | 2025 Americas Conference on Information Systems, AMCIS 2025 |
|---|---|
| Country/Territory | Canada |
| City | Montreal |
| Period | 14/08/25 → 16/08/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Free Keywords
- algorithms
- artificial intelligence
- Human-algorithm interaction
- knowledge conversion
- tacit knowledge
ASJC Scopus subject areas
- Information Systems
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