URN | etd-0717113-122406 | Statistics | This thesis had been viewed 899 times. Download 7 times. |
Author | Yin-Chia Chen | ||
Author's Email Address | No Public. | ||
Department | Institute of Industrial Management | ||
Year | 2012 | Semester | 2 |
Degree | Master | Type of Document | Master's Thesis |
Language | zh-TW.Big5 Chinese | Page Count | 108 |
Title | Study of Key Performance Indeicator System in the Agri-Product Supply Chain - An Empirical Study of Pomelo at Bali District in New Taipei City | ||
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Abstract | The measurement of agri-product marketing supply chain performance can indicate the efficiency of supply and facilitate decision-making, so the purpose of this study is to establish the conceptual framework of agri¡Vproduct supply chain performance measurement, and to assess the applicability of the model. Through domestic and foreign literature review, the research takes the ideas of Aramyan (2007) and others and considers indicators of the agri-production supply chain performances include four dimensions: efficiency, flexibility, responsiveness and quality of agri-products. During the process of agri-products supply, the Farmers' Association helps effectively farmers to organize marketing group to improve pomelo supply chain performance, so the organizational effectiveness dimension is further considered in this study. To ascertain the suitability of the design, this study use Likert¡¦s five-point scale to assess the validity of those measurements, and select a case study conducted five dimensions in order to detect agricultural supply chain key performance indicators. The pomelo at Pali district, New Taipei City, in Taiwan is of great significance for local production, so the study selects the largest marketing group members, and using the index score 3.5-5 in five dimensions as the key indicators. But also for organizational effectiveness and efficiency dimensions, flexibility, responsiveness and quality of agricultural products and other four dimensions to test correlation, this study established four hypotheses, with chi-square test analysis. The test result only partially support the research hypothesis, but still shows a profound significance. |
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Files | indicate access worldwide | ||
Date of Defense | 2013-06-20 | Date of Submission | 2013-07-24 |