1989 Fiscal Year Final Research Report Summary
Development of the Agricultural Cooperative Management Diagnosis by using the Personal Computer Display
| Project/Area Number |
63560216
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
Agro-economics
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| Research Institution | TOTTORI UNIVERSITY |
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Principal Investigator |
KASAHARA Kozo PROFESSOR, FACULTY OF AGRICULTURE, TOTTORI UNIVERSITY, 農学部・農林総合科学科, 教授 (60135837)
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| Co-Investigator(Kenkyū-buntansha) |
IMAI Raizo PROFESSOR, FACULTY OF AGRICULTURE, TOTTORI UNIVERSITY, 農学部・農林総合科学科, 教授 (30032072)
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| Project Period (FY) |
1988 – 1989
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| Keywords | Diagnosis / Agricultural Cooperative Management / Comparative Standard Index / Face Chart / Radar Chart |
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| Research Abstract |
In the report, We shall try to develop the agricultural cooperative management diagnosis in order to reform the management of agricultural cooperative.
We carried out a survey on the diagnosis done by the Prefecture Agricultural Cooperative Federation. Based on the result, the following points were noted. (1) 20 Prefecture Federations are doing diagnosis on the Agricultural Cooperatives within each Prefecture. (2) The diagnosis staffs of 18 Prefecture Federations are internal staffs and the other 2 Prefecture Federations are outside staffs(trust). (3) The Comparative Standard Index Value of the diagnosis was based on the following criteria; the average number of Agricultural Cooperatives within a Prefecture, the average value of the several recommendations of the Agricultural Cooperatives within each Prefecture, and other indexes ( for example, subject standard index).
Further, we summarized the graphs and the charts, and we developed the face charts where each element on the face matches a certain index. We felt that the face charts are more familiar and can easily show the management diagnosis. Moreover, the face charts were reformed based on dynamic management where the faces change with time.
We can provide information of agricultural management based on the dynamic face charts.
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