透過您的圖書館登入
IP:3.147.89.85
  • 學位論文

新產品設計能力之量表發展

A Scale Development of New Product Design Capability

指導教授 : 吳彥濬
若您是本文的作者,可授權文章由華藝線上圖書館中協助推廣。

摘要


本研究之目的是開發一個評估新產品設計能力的量表,該量表包含兩個構面 :軟實力和硬實力。在這兩個構面中,有九個構念,分別是繪圖能力,軟體能力,建模能力,工程和製造概念,商學和行銷概念,色彩,職業道德,環保意識和解決問題的能力。新產品設計能力量表之發展是透過文獻探討發展題項,透過項目分析,探索式因素分析和驗證性因素分析進行修整。新產品設計能力量表是以六點李克特量表進行施測。前測有103個有效樣本,後測有380個有效樣本。經過前測的數據分析後,產生了五個因素,分別是製圖能力,商學和行銷概念,團隊合作,環保意識和挑戰性。在後測的數據分析中,五個因素共22道題項進行驗證因素分析。有一個因子因素負荷量小於0.5,必須將其刪除,剩下21道題項再次進行驗證性因素分析。結果顯示,該模型的整體配適度良好。每道題項都有各自的可靠性和收斂性。研究最後,提出結論和建議。

並列摘要


The purpose of this study is to develop a scale evaluating new product design capability, which composes two dimensions: soft skills and hard skills. In the two dimensions, there are nine constructs, which are graphic ability, software proficiency, modeling ability, engineering and manufacturing, business and marketing, color, work ethics, environmental awareness, and problem-solving. The new product design capability scale applies a questionnaire with items created via literature review, trimmed via analysis of item analysis, exploratory factor analysis, and confirmatory factor analysis. The new product design capability scale is a 6-point Likert scale. The sample of the pre-test consist of 103 participants and 380 participants took the post-test. After pre-test data analysis, there are five factors base on the origin constructs, which are drafting ability, business and marketing, collaboration, environmental awareness, and challenge. In the post-test data analysis, confirmatory factor analysis was conducted 22 items into five factors. There is one factor loading smaller than 0.05 then removed the item. There are 21 items proceeded confirmatory factor analysis again. The result showed that the overall fitness of this model is good. Each item has individual reliability and convergent validity. At the end of the study, conclusions and recommendations are addressed.

參考文獻


Dunne, D., & Martin, R. (2006). Design thinking and how it will change management education: An interview and discussion. Academy of Management Learning & Education, 5(4), 512-523. doi:10.5465/AMLE.2006.23473212
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50. doi:10.2307/3151312
Hu, L. t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. doi:10.1080/10705519909540118
Razzouk, R., & Shute, V. (2012). What Is Design Thinking and Why Is It Important? Review of Educational Research, 82(3), 330-348. doi:10.3102/0034654312457429
Abell, A., & DeVore, K. (2017). Embracing ambiguity: A framework for promoting iterative design thinking approaches in engineering and design curricula. Paper presented at the American Society for Engineering Education Annual Conference and Exposition, Columbus, Ohio.

延伸閱讀