Data · dataset · 2006
A Study of Dietary-specific Knowledge Management among Organic Product Consumers
Listed in Harvard Dataverse
Taiwan’s agricultural products have long been seriously polluted by chemical pesticides, fertilizers and other environmental pollutants, along with the endless pursuit of high-technology and negligence of environmental preservation.
Description
It consequently brings about a dietary-specific risk society to the general population. As a result, more and more people intend to practice organic dietary to avoid the risk.
However, the knowledge management toward organic-specific dietary becomes a significant challenge for them as the knowledge domain is enormously wide and the expertises from variant sources are uncertain and different from time to time. This study is aimed to examining the dietary-specific lifestyles among organic food consumers at the first place, and the practices, problems , strategies and knowledge technologies in organic knowledge management is explored in the mean time.
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An attempt is undertaken to establish some organic dietary models in this study to attract the general consumers to join in organic dietary. Besides, the linkage between these two concepts, dietary-specific lifestyles and knowledge management, is assumed as to discover the real relationship and hopefully to benefit the development and research of organic agriculture. With regard to dietary-specific knowledge, a focus on life-specific dimension will be stressed mostly.
The knowledge toward organic farming and environmental issues will be introduced afterwards. The knowledge concerning purchasing, identifying, cooking, and health caring toward organic foods will be emphasized and compared among various families. The so-called conscious knowledge and automatic knowledge will be the crucial knowledge types at this study.
Moreover, the knowledge process of selection & acquisition, transformation, reception, generation, storage, share and utilization will be explored sequentially. And the knowledge conversion processes, such as socialization, combination, internalization, and externalization will be investigated after all. An integration of participant observation and in-depth interviewing will be employed to collect the research data based on the family unit.
The researcher will be a vital dietary actor to participate in the research setting . A survey research will simultaneously be utilized to gather some socio-demographic data to obtain a whole picture of the target informat group. In essence, the methodology rationale is a practice of triangulation.
A judgment sampling and snowball sampling will be used to recruit the research sample at total to approximately 30 to 50 cases.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E90047-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e90047-1 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.6141%2FTW-SR… ↗
metadata API · from Harvard Dataverse
Provenance · 1 source records, 5 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E90047-1 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 |