Abstract | ||
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Medical and long-term care costs in Japan are increasing ahead of the rest of the world. Burdens of care worker are also increasing. Therefore, it is an urgent issue to improve the productivity and quality of care. In general, sharing workers' knowledge supports business operation. However, constructing manuals consistently is costly. Knowledge explication methodology was developed to systematize procedural knowledge by the employees themselves. The authors have applied the methodology to several domains including elderly care. This study was conducted to clarify the application cases of knowledge explication and the resulting systematized knowledge: so-called structured manuals. First, the authors clarify the processes that occur related to knowledge explication. Second, the authors attempt to classify the application cases according to conventional classification and the contents of the structured manuals. The authors also describe avenues of their future work. |
Year | DOI | Venue |
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2017 | 10.1007/978-3-319-93794-6_29 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
Knowledge engineering,Service engineering,Service science | Procedural knowledge,Service engineering,Business operations,Knowledge management,Quality of care,Knowledge engineering,Care work,Business,Explication | Conference |
Volume | ISSN | Citations |
10838 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Satoshi Nishimura | 1 | 1 | 5.14 |
Ken Fukuda | 2 | 4 | 5.60 |
Takuichi Nishimura | 3 | 576 | 65.34 |