紡織產業跨域設計輔導專案指標評價與共創設計

No Thumbnail Available

Date

2024

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

本研究針對政府資助紡織產業跨域設計輔導計劃,績效指標評價與共創設計的探討。專案計畫完成的最終檢核,以績效指標為主要成果檢視,經由十幾年執行專案計畫之經驗發現,所擬定之績效指標評估模式能再精益求精,將更有效達成指標的績效,因此引發研究動機。本研究為中部某科技大學教師7~10人跨四院五系組成跨領域專家團隊,輔導紡織產業包含成衣、家飾與配件等產業10家以上中小企業廠商,以連續五年輔導計畫為例,透過專案研究建立理論方法的邏輯,扎根於案例資料的經驗構念與推論,以實務工作者採行動研究進行探索,以比較研究歸納事實資料的同異特徵,建立問項解釋與說明,其次以層級分析法量化數據權重比較以確定決策之優先順序,經由輔導相關資料進行比對、整理、歸納、統計與分析,回溯問題的前因後果之脈絡關係。透過層級分析法對應質化之各項指標進行研究,將輔導內容元素分析,提取為共創設計之創作緣起。研究結果其一為推論出本專案績效指標RPIOOE模式,以及學理梳理出十項對應內容,其二優化指標評價模式推論優先順序,導引模糊進入真切的論證,其三因建立優化績效的指標評價模式,利於簡化並快速聚焦於績效指標之參考,其四導入十家廠商輔導關鍵因素,解決廠商資源再利用之共創設計。研究結論為ㄧ、提出對產業界、學術界以及政府相關單位合作案的指標評價之參考,二、優化指標評價模式有助於提高合作成果績效,利於提升產業研發技術。三、藉由量化與質化評價混合分析,提供政府相關計畫於驗收、考核與新擬時之策略參考;四、運用共創模式解決廠商問題,以多元的實驗性創作啟發未來各種創新的可能性。
This study explores a government funded Cross domain design guidance plan, Performance indicator evaluation and co-created design for the textile industry. The final review of project plan completion, with performance indicators as the main outcome review, after more than ten years of experience in executing project plans, it has been found that the performance indicator evaluation model formulated in the plan is not perfect, hoping to achieve the performance of the indicators more effectively, which has sparked research motivation. This study is an example of a cross disciplinary expert team consisting of 7-10 teachers from a certain science and technology university in central China, spanning four colleges and five departments, to provide guidance to over 10 small and medium-sized enterprise manufacturers in the textile industry, including clothing, home decoration, and accessories related industries, for a continuous five-year guidance plan; Establishing the logic of theoretical methods through project research, rooted in empirical constructs and inferences of case data; Adopting action research to explore and construct a systematic project correlation for practitioners; By comparing and studying the similarities and differences of factual data, establish question explanations and explanations. Use the above method to explore the structure and scope of the counseling plan. Compare, organize, summarize, make statistics, and analyze the counseling-related data to trace the causes and consequences of the problem. The contextual relationships, as well as the subject's cognitive problem solving, cooperation process, strategy formulation and performance results, are sorted out and constructed to construct relevant knowledge. The results of the study are as follows: 1. Derive the RPIOOE model for the performance indicators of this project, as well as ten corresponding contents derived from academic reasoning; 2. Optimizing the indicator evaluation mode helps to improve the performance of cooperation results and is conducive to enhancing industrial research and development technology; 3. Establishing an indicator evaluation model for optimizing performance is conducive to a simple and fast reference model for focusing on performance indicators; 4. Introduce the key factors for coaching ten manufacturers and solve the collaborative design of resource reuse among manufacturers. The conclusion of the research is: 1. Propose the reference for index evaluation of cooperation projects between industry, academia, and government-related units; 2. Optimize the evaluation model of indicators to reduce uncertainty, improve efficiency, and facilitate opportunities for innovation cooperation. 3. Provide strategic references for government related plans in acceptance, assessment, and new planning through a mixed analysis of quantitative and qualitative evaluations; 4. Using the co creation model to solve manufacturer problems and inspiring various possibilities for future innovation through diverse experimental creations.

Description

Keywords

行動研究, 層級分析, 跨領域, 共創設計, 績效評估, Action Research, Analytic Hierarchy Process, Cross-Disciplinary Cooperation, Co-Creation Designer, Performance Evaluation

Citation

Collections

Endorsement

Review

Supplemented By

Referenced By