| 研究生: |
盧昶廷 Lu, Chang-Ting |
|---|---|
| 論文名稱: |
應用階層迴歸分析於環保餐具設計評估 The Design Evaluation of Eco-Utensils Using Hierarchical Linear Modeling |
| 指導教授: |
謝孟達
Shieh, Meng-Dar 楊智傑 Yang, Chih-Chieh |
| 學位類別: |
碩士 Master |
| 系所名稱: |
規劃與設計學院 - 工業設計學系 Department of Industrial Design |
| 論文出版年: | 2011 |
| 畢業學年度: | 99 |
| 語文別: | 中文 |
| 論文頁數: | 184 |
| 中文關鍵詞: | 環保餐具 、階層迴歸分析 、單因子多變量變異數分析 |
| 外文關鍵詞: | Eco-Utensils, Hierarchical Linear Modeling, one-way MANOVA |
| 相關次數: | 點閱:138 下載:15 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
隨著節能減碳與自然樂活的提倡,環保餐具的使用成為近年來非常熱門的社會議題,而本研究的目的在於運用階層線性迴歸分析(Hierarchical Liner Modeling),透過問卷調查的評估方法,以Sheth等人在1991年所提出的『消費者行為價值理論』為基礎,同時將環保餐具的『功能價值』與『非功能價值』對使用意願的影響納入迴歸式進行考量,特別有助於瞭解『非功能價值』對於環保餐具使用意願的影響性。另外,亦透過單因子多變量變異數分析(one-way multivariate analysis of variance;one-way MANOVA)來瞭解四種環保餐具主要族群的特性。以上所得結果,均能幫助設計師在設計時考量更多的層面,進行環保餐具的改良與創新,同時亦能將本評估方法應用於其他的產品。
本研究以703份有效的網路問卷作為統計分析資料,透過單因子多變量變異數分析可以發現,該四種主要族群皆對於環保餐具產生不同的觀點,需要分別針對不同的族群進行設計。而在階層迴歸分析的結果中發現,約有45%影響使用意願的因素是來自於非功能價值層次形成的共同特質(族群影響),55%影響是來自於功能價值的層次。消費者在考慮環保餐具的材質時會受到社會價值影響,考慮色彩時會受到嘗新性價值的影響;而情感價值能夠跨層級影響環保餐具的使用意願。
With promotion of energy-saving, carbon reduction and the LOAHS style, use of eco-utensils is increasingly becoming a hot social topic recently. In view of this, based on the “Consumer Behavior Value Theory” proposed by Sheth, etc. in 1991, this study includes “functional value” and “non-functional value” of eco-utensils into consideration on the purpose of exploring their impact on users’ intention especially for impact of “non-functional” value of eco-utensils by adopting the method of hierarchical linear modeling (HLM) and questionnaire. In addition, it also explores the characteristics of the four main groups of users using eco-utensils by making one-way multivariate analysis of variance (one-way MANOVA). All results achieved by the analysis above can help designers think more comprehensively in order to make improvement and innovation in eco-utensil designs as well as apply this evaluation method into other product designs.
This study took 703 valid web-based questionnaires as the basis of statistics and analysis. By making one-way MANOVA, the study found that all these four main groups have different opinions on eco-utensils which should be designed according to characteristics of different groups. However, by making the analysis of HLM, the study found about 45% influence that impact users’ intention are from common characteristics formed by the level of non-functional value (group impact) and 55% are from the level of functional value. Consumers are impacted by the social value when considering materials of eco-utensils and are impacted by the value of trying something new when considering colors. In terms of emotional value, it can impact different levels’ user’s intension on using of eco-utensils.
參考文獻
英文部份
[1]Abraham, I, Demosthenes, L, MacDonald, K, Lee, C. S, Sally, Reel, S, Brie´, H, Hermans, C, Vancayzeele, S & Nippen, P. V. D (2010), “Hierarchical linear and logistic modeling of outcomes of antihypertensive treatment in elderly patients: Findings from the PREVIEW study, ” Archives of Gerontology and Geriatrics, 51, pp.45~53
[2]Bentle, P. M & Satorra, A (2000), “Hierarchical Regression Without Phantom Factors,” Structural Equation Modeling, 7(2), pp.287~291
[3]Ciarleglio, M, M & Makuch, R, W (2007), “Hierarchical linear modeling: An overview,” Child Abuse & Neglect, 31, pp.91~98
[4]Chang, T. Z & Wildt, A. R (1994), “Price, Product Information, and Purchase Intention: An Empirical Study,” Journal of Academy of Marketing Science, Vol. 22, No. 1, pp.16~27
[5]Deadrick, D. L, Bennett, N & Russell, C. J (1997), “Using Hierarchical Linear Modeling to Examine Dynamic Performance Criteria Over Time,” Journal of Management, Vol. 23, No. 6, pp.745~757
[6]Gentry, W. A & Martineau, J. W (2010), “Hierarchical linear modeling as an example for measuring change over time in a leadership development evaluation context,” The Leadership Quarterly, 21, pp.645~656
[7]Ho, S. H & Huang, C. H (2009), “ Exploring success factors of video game communities in hierarchical linear modeling: The perspectives of members and leaders,’’ Computers in Human Behavior, 25, pp.761~769
[8]Halket, A, Stratford, P. W, Kennedy, D. M & Woodhouse, L. J (2010), “Using Hierarchical Linear Modeling to Explore Predictors of Pain After Total Hip and Knee Arthroplasty as a Consequence of Osteoarthritis,” The Journal of Arthroplasty, Vol, 25, No, 2, pp.254~262
[9]Hon, A. H. Y (2011), “Enhancing employee creativity in the Chinese context: The mediating role of employee self-concordance,” International Journal of Hospitality Management, 30, pp.375~384
[10]Ishitani, T. T (2010), “Exploring the effects of congruence and Holland’s personality codes on job satisfaction: An application of hierarchical linear modeling techniques,” Journal of Vocational Behavior, 76, pp.16~24
[11]Kull, T. J & Wacker, J. G (2010), “Quality management effectiveness in Asia: The influence of culture,” Journal of Operations Management, 28, pp.223~239
[12]Liu, Q, Cook, N. R, Bergström, A & Hsieh, C. C (2009), “A two-stage hierarchical regression model for meta-analysis of epidemiologic nonlinear dose–response data,” Computational Statistics and Data Analysis, 53, pp.4157~4167
[13]Lai, M. C, Huang, H. C, Lin, L. H & Kao, M. C (2011), “Potential of organization memory for creating service performance: A cross-level analysis,” Expert Systems with Applications, 38, pp.10493~10498
[14]McDermott, C. M & Stock, G. N (2011), “Focus as emphasis: Conceptual and performance imaplications for hospitals,” Journal of Operations Management, 29, pp.616~626
[15]Marshall, J. M, Huang, H & Ryan, J. P (2011), “Intergenerational families in child welfare: Assessing needs and estimating permanency,” Children and Youth Services Rivew, 33, pp.1024~1030
[16]Miller, A. D & Murdock, T. B (2007), “Modeling latent true scores to determine the utility of aggregate student perceptions as classroom indicators in HLM: The case of classroom goal structures,” Contemporary Educational Psychology, 32, pp.83~104
[17]Matthew, P, Anderson, P, Henrich, C. C & Rothbaum, B. O (2008), “Greater Expectations: Using Hierarchical Linear Modeling to Examine Expectancy for Treatment Outcome as a Predictor of Treatment Response,” Behavior Therapy, 39, pp.398~405
[18]Patrick, J. R & Stone-Romero, E. F (2008), “Problems with detecting assumed mediation using the hierarchical multiple regression strategy,” Human Resource Management Review, 18, pp.294~310
[19]Richter, T (2006), “What Is Wrong With ANOVA and Multiple Regression? Analyzing Sentence Reading Times With Hierarchical Linear Models,” Discourse Processes, 41, pp.221~250
[20]Sturdivant, R. X & Jr, D. W. H (2007), “A smoothed residual based goodness-of-fit statistic for logistic hierarchical regression models,” Computational Statistics & Data Analysis, 51, pp.3898~3912
[21]Sweeney, J. C & Soutar, G. N (2001), “Consumer perceived value: The development of a multiple item scale,” Journal of Retailing, 77, pp.203~220
[22]Tisak, J (1994), “Determination of the Regression Coefficients and Their Associated Standard Errors in Hierarchical Regression Analysis,” Multivariate Behavioral Research, 29(2), pp.185~201
[23]Tan, Shuai, Chen, W. D, Wang, F. L & Chang, Y. Q (2010), “Property Prediction Using Hierarchical Regression Model Based on Calibration,” Journal of Iron and Steel Research, 17(8), pp.30~35
[24]Wang, J. J (1999), “Reasons for Hierarchical Linear Modeling: A Reminder,” The Journal of Experinmtal Educatio, 68(1), pp.89~93
[25]Wilbur, C. J & Campbell, L (2010), “What do women want? An interactionist account of women’s mate preferences,” Personality and Individual Differencces, 49, pp.749~754
[26]Wang, S. Y & Parrila, Y. C. R (2011), “Examining the effectiveness of peer-mediated and video-modeling social skills interventions for children with autism spectrum disorders: Ameta-analysis in single-case research using HLM,” Research in Autism Spectrum Disorders, 5, pp.562~569
[27]You, H & Ryu, T (2005), “Development of a hierarchical estimation method for anthropometric variables,” International Journal of Industrial Ergonomics, 35, pp.331~343
[28]Yeh, P. H, Gazdzinski, S, Durazzo, T. C, Sj¨ostrand, K & Meyerhoff, D. J (2007), “Hierarchical linear modeling (HLM) of longitudinal brain structural and cognitive changes in alcohol-dependent individuals during sobriety,” Drug and Alcohol Dependence, 91, pp.195~204
中文部份
[29]楊蕙瑛(2010),「南部地區小學教師綠色消費認知、態度與教學信念之研究」,國立台南大學材料科學系自然科學教學碩士班碩士論文
[30]黃仁珍(2007),「高中職生對於綠色消費認知、態度、與行為研究-南部四縣市」,國立台南大學環境生態研究所碩士論文
[31]陳信宏(2005),「建構使用者導向之產品價值需求模型研究」,國立雲林科技大學工業設計研究所碩士論文
[32]陳瑞玲(2004),「消費者人口統計變數與生活型態對手機購買行為之影響」,國立中山大學企業管理設計研究所碩士論文
[33]陳君凱(2004),「量販店消費者自備購物袋與索取塑膠袋行為之研究」,國立中山大學公共事務管理研究所碩士論文
[34]彭雯君(2003),「個人價值觀、產品屬性、綠色態度與綠色消費行為關聯性之研究-以大專學生為目標」,國立成功大學企業管理設計研究所碩士論文
[35]謝俊義(2010),HLM多層次線性分析:理論、方法與實務,台北:鼎茂圖書。
[36]吳明隆(2008),SPSS操作與應用:多變量分析實務,台北:五南。
[37]溫福星(2006),階層線性模式:原理、方法與應用,台北:雙葉書廊。
[38]黃恆正 (1990) (譯),符號社會的消費,台北:遠流。(譯自星野克美等)