Paper Type

Complete

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.

Paper Number

2246

Author Connect URL

https://authorconnect.aisnet.org/conferences/AMCIS2025/papers/2246

Comments

SCUIDT

Download
Author Connect Link

Share

COinS
 
Aug 15th, 12:00 AM

Human-Algorithm Interaction in Tacit Knowledge Conversion: Insights from Chinese Patent Medicine Manufacturing Industries

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.

When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.