以分解式計畫行為理論探討社會企業產品購買意願

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：41

、訪客IP：18.119.136.235

姓名

楊渟渟(Ting-ting Yang) 查詢紙本館藏

畢業系所

企業管理學系

論文名稱

以分解式計畫行為理論探討社會企業產品購買意願

相關論文

★ 二氧化鈦技術生命週期之研究	★ 整體後勤業參與同步工程於產品開發績效關係之研究—以中科院為例
★ 筆記型電腦之IFA/PIFA天線技術生命週期分析	★ 國籍航空公司經營績效分析－以資料包絡分析方法分析
★ 從專利分析看3D IC技術與市場發展	★ 影響企業導入電子發票系統成效之因素探討
★ 影響企業導入數位學習成功因素之探討-以個案公司為例	★ 產品生命週期管理系統導入成功要素之探討--以S科技公司為例--
★ 組織創新能力影響因素研究	★ 製造業閒置資產轉售平台製造業閒置資產轉售平台-以廣達電腦股份有限公司為例
★ 供應商先行者優勢探討-以宸鴻科技為例	★ 團隊領導者創新特質與開放式創新專案關係之研究
★ 從商業生態系統談樞紐者策略-以Apple 與Nokia 為例	★ 個人電腦的競爭與發展策略-以台灣電子產業為例
★ 應用兩階段資料包絡分析法評估高級職業學校之經營績效	★ ERP導入的促進因素:使用者觀點

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

從民國93年至今，社會企業成立數目成長率為136%，但銷售額成長率只有76%。可知儘管一般大眾對社會企業產品具有正向態度，但其購買率卻不如預期來的高，顯示正向態度不必然會有購買行為的產生。本研究的主要目的是以分解式計畫行為理論探討台灣消費者的社會企業產品購買意圖，透過解構態度、主觀規範、與知覺行為控制之信念，深入分析影響消費者購買社會企業產品的前置因素，同時並進一步分析在參考團體的氛圍下，如何影響消費者的購買意圖，並以階層線性模式進行假設驗證。
本研究使用網路問卷調查方式，係以台灣地區對社會企業產品具有購買意願的消費者作為調查對象，共回收496份問卷，有效問卷為439份。本研究以階層線性模式 (HLM)進行研究假設驗證，在階層線性模式則發現：(1)對於態度構面，道德自我認同呈現正向顯著影響，而社會企業熟悉度與產品知識則呈現不顯著；(2)對於主觀規範構面，比較團體對主觀規範及行為意圖皆呈現正向顯著影響，而比較團體對主觀規範亦呈現正向顯著影響，但比較團體對行為意圖則是呈現不顯著；(3)在知覺行為控制構面，知覺利益及知覺貢獻呈現正向顯著影響，知覺風險呈現負向顯著影響；(4)態度、知覺行為控制及主觀規範構面，皆對消費者對社會企業產品之購買意願呈現正向顯著影響。

摘要(英)

This study tries to explore the consumer behavior on social business product in Taiwan. On the basis of the theory of planned behavior, this study examines motives which influence the consumers’ purchase intention of social business product by decomposing attitude, subjective norm and perceived behavior control construts. Meanwhile, the study add Reference group to investigate the differences of the consumer behavior on social business product. Then, according to empirical results, the study provides marketing strategy recommendations for the relevant Social Business.
This study collects 496 samples in total by using internet questionnaires and paper questionnaires. Analysing upon 439 usable responses by SPSS 21、AMOS 21 reveals that the measurementmodel has good reliability and validity. The empirical results by hierarchical linear modeling show that (1) for Attitude construct, both Ethical Self-Identity has significantly positive effect, but Social Business Facility and Product Knowledge have no significant impact; (2) for Subjective Norm construct, Normative Referents has significantly positive result on subjective norm and intention, Comparative Referents has significantly positive effect on subjective norm,but hasn’t significant effect on intention; (3)for Perceived Behavior Control construct, Perceived Benefit　and Perceived Contribution have significantly positive effect, but perceived cost has significant not positive effect on perceived behavior control; (4) Attitude, Subjective Norm and Perceived Behavior Control have a positive relationship with the Behavioral Intention of Social Business Product

關鍵字(中)

★ 分解式計畫行為理論
★ 社會企業產品
★ 參考團體
★ 主觀規範
★ 知覺行為控制
★ 行為意圖

關鍵字(英)

★ social business
★ DTPB
★ Subjective Norm
★ Perceived Behavior Control
★ Behavioral Intention
★ Reference group

論文目次

目錄
中文摘要 i
英文摘要 ii
目錄 iii
表目錄 v
圖目錄 iv
第一章緒論 1
1-1研究背景與動機 1
1-2研究目的 3
1.3研究流程 4
第二章文獻探討 5
2-1社會企業 5
2-2分解式計畫行為理論 13
第三章研究方法 22
3-1研究架構 22
3-2研究假設 23
3-3研究變數操作型定義與參考來源 28
3-4研究變數問項設計與參考來源 30
3-5資料分析方法與統計工具 35
第四章資料分析與假設驗證 39
4-1樣本敘述性統計 39
4-2測量模型之信度分析 47
4-3測量模型之效度分析 48
4-4階層線性模式 52
第五章結論與建議 61
5-1研究結論 61
5-2管理意涵 64
5-3研究限制與建議 65
參考文獻 67
附錄一問卷 77
表目錄
表1-1社會工作服務業年度營運統計資料 2
表2-1 社會企業定義 7
表2-2 社會企業光譜 9
表2-3 社會企業三重基線精神 9
表2-4 國外社會企業之相關研究 11
表2-5 國內社會企業之相關研究 12
表2-6 分解式計畫行為理論研究整理表 17
表3-1 各變數操作型定義以及參考文獻來源 29
表3-2 計畫行為理論構面之問卷設計 30
表3-3 規範團體之問卷設計 31
表3-4 比較團體之問卷設計 31
表3-5 社會企業熟悉度之問卷設計 32
表3-6 道德自我認同之問卷設計 32
表3-7 產品知識之問卷設計 33
表3-8 知覺利益之問卷設計 34
表3-9 知覺風險之問卷設計 34
表3-10 知覺貢獻之問卷設計 35
表4-1 樣本統計人口變數之分布情形 41
表4-2 最熟悉之社會企業樣本統計人口變數之分布情形……………………………...42
表4-3 問項平均統計表 44
表4-4 各構面之信度分析表 47
表4-5 驗證性因素分析表 49
表4-6 各構面之區別效度分析表 51
表4-7 聚合檢定表 53
表4-8 行為意圖為依變項之模型係數結果 55
表4-9主觀規範為依變項之模型係數結果 57
表4-10態度為依變項之模型係數結果 58
表4-11行知覺行為控制為依變項之模型係數結果 59
表4-12 研究假設結果彙整表 60
圖目錄
圖1-1研究流程圖 4
圖2-1 理性行為理論模型 13
圖2-2 計畫行為理論模型 15
圖3-1研究架構與假設關係 22

參考文獻

參考文獻
中文文獻

1. 呂朝賢 (2012)，社會企業與創業精神：意義與評論」，國立政治大學社會學報，第39期，81-117。
2. 官有垣 (2010)，社會企業組織在台灣的發展，中國非營利評論期刊論文，
3. 邱皓政、溫福星 (2007)，脈絡效果的階層線性模型分析：以學校組織創新氣氛與教師創意表現為例，國立政治大學教育與心理研究，第30卷第1期， 1-35。
4. 胡哲生及陳致遠 (2013)，社會企業與非營利組織經營模式，創業管理研究專刊，第4卷第4期，1-28。
5. 莊和子（2010），社會企業創新經營模式之研究，南華大學非營利事業管理研究所碩士論文。
6. 許淑貞 (2013)，社會企業經營成功因素之研究，輔仁大學國際創業經營管理學程碩士在職專班論文。
7. 許雅雯 (2014)，社會企業經營模式之初探，輔仁大學管理學研究所碩士論文。
8. 郭亞凌 (2011)，以社會企業觀點探討計程車車隊經營模式，輔仁大學管理學研究所。
創刊號。
9. 彭台光、高月慈、林鉦棽 (2006)，管理研究中的共同方法變異：問題本質、影響、測試和補救，管理學報，第23卷第1期，77-98.
10. 楊銘賢、吳濟聰、蘇哲仁、高慈薏 (2012)，「社會企業經營模式之建構」。創業管理研究，第4卷第4期，57-83。
11. 經濟部，社會企業行動方案 (民國103年到105年)。
12. 鄭勝分 (2012)，社會企業的概念分析，政策研究學報，第7期，65-108。
13. 鄭勝分 (2013)，社會企業：市場、公共政策與公民社會的交叉點，公共行政學報，第27期，199-206。

英文文獻

1. Agarwal, S., & Teas, R. K. (2014). Cross-national applicability of a perceived risk-value model. Journal of Product & Brand Management, 13(4), 242-256.
2. Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior (pp. 11-39). Springer Berlin Heidelberg.
3. Ajzen, I. (1989). Attitude structure and behavior. Attitude Structure and Function, 241-274.Lawrence Eelbaum Associates, Inc., Publishers.
4. Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
5. Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. International Journal of Entrepreneurship Behaviour and Research, 4(1), 28-50.
6. Ajzen, I. (2005). Attitudes, Personality, and Behavior. McGraw-Hill Education (UK), Printed in Poland, EU by O.Z. Graf. S.A.
7. Ajzen, I., & Madden, T. J. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22(5), 453-474.
8. Alba, J. W., & Hutchinson, J. W. (1987). Dimensions of consumer expertise.Journal of Consumer Research, 13(4), 411-454.
9. Aleassa, H., Pearson, J. M., & McClurg, S. (2011). Investigating software piracy in Jordan: An extension of the theory of reasoned action. Journal of Business Ethics, 98(4), 663-676.
10. Alvord, S. H., Brown, L. D., & Letts, C. W. (2014). Social entrepreneurship and societal transformation an exploratory study. The Journal of Applied Behavioral Science, 40(3), 260-282.
11. Arvola, A., Vassallo, M., Dean, M., Lampila, P., Saba, A., Lähteenmäki, L., & Shepherd, R. (2011). Predicting intentions to purchase organic food: The role of affective and moral attitudes in the Theory of Planned Behaviour.Appetite, 50(2), 443-454.
12. Bagozzi, R. P. (1981). Attitudes, intentions, and behavior: A test of some key hypotheses. Journal of Personality and Social Psychology, 41(4), 607.
13. Bagozzi, R. P. (1982). A field investigation of causal relations among cognitions, affect, intentions, and behavior. Journal of Marketing Research, 19(4), 562-583.
14. Bagozzi, R. P. (1983). A holistic methodology for modeling consumer response to innovation. Operations Research, 31(1), 128-176.
15. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
16. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
17. Bamberg, S., Ajzen, I., & Schmidt, P. (2013). Choice of travel mode in the theory of planned behavior: The roles of past behavior, habit, and reasoned action. Basic and Applied Social Psychology, 25(3), 175-187.
18. Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84(2), 191.
19. Bandura, A. (1977). Social learning theory.General Learning Press.
20. Barki, H., & Hartwick, J. (2014). Measuring user participation, user involvement, and user attitude. MIS Quarterly, 18(1), 59-82.
21. Barnett, C., Cloke, P., Clarke, N., & Malpass, A. (2005). Consuming ethics: articulating the subjects and spaces of ethical consumption. Antipode, 37(1), 23-45.
22. Bearden, W. O., & Etzel, M. J. (2012). Reference group influence on product and brand purchase decisions. Journal of Consumer Research, 9(2), 183-194
23. Bearden, W. O., Netemeyer, R. G., & Teel, J. E. (1989). Measurement of consumer susceptibility to interpersonal influence. Journal of Consumer Research, 15(4), 473-481.
24. Beatty, S. E., & Smith, S. M. (2014). External search effort: An investigation across several product categories. Journal of Consumer Research, 14(1), 83-95.
25. Bhattacherjee, A. (2000). Acceptance of e-commerce services: the case of electronic brokerages. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 30(4), 411-420.
26. Black, L., Nicholls, M. J., (2014). Foot-and-mouth disease vaccination: a multifactorial study of the influence of antigen dose and potentially competitive immunogens on the response of cattle of different ages. Research in Veterinary Science, 40(3), 303-307.
27. Borzaga, C., & Defourny, J. (2014). The Emergence of Social Enterprise (Vol. 4). Psychology Press.
28. Borzaga, C., & Santuari, A. (2013). From traditional co-operatives to innovative social enterprises. The Emergence of Social Enterprise, 166. This edition published in the Taylor & Francis e-Library.
29. Borzaga, C., & Solari, L. (2010). 19 Management challenges for social enterprises. The Emergence of Social Enterprise, 333. This edition published in the Taylor & Francis e-Library.
30. Brandsen, T., & Pestoff, V. (2006). Co-production, the third sector and the delivery of public services: An introduction. Public management review, 8(4), 493-501.
31. Burnkrant, R. E., & Cousineau, A. (2014). Informational and normative social influence in buyer behavior. Journal of Consumer Research, 2(3), 206-215
32. Burnkrant, R. E., & Page, T. J. (2009). The structure and antecedents of the normative and attitudinal components of Fishbein′s theory of reasoned action. Journal of Experimental Social Psychology, 24(1), 66-87.
33. Burstein, L., Linn, R. L., & Capell, F. J. (1978). Analyzing multilevel data in the presence of heterogeneous within-class regressions. Journal of Educational and Behavioral Statistics, 3(4), 347-383.
34. Childers, T. L., & Rao, A. R. (2002). The influence of familial and peer-based reference groups on consumer decisions. Journal of Consumer Research, 19(2), 198-211.
35. Choi, W. J., & Winterich, K. P. (2013). Can brands move in from the outside? How moral identity enhances out-group brand attitudes. Journal of Marketing, 77(2), 96-111.
36. Chu, P. Y., & Chiu, J. F. (2003). Factors Influencing Household Waste Recycling Behavior: Test of an integrated Model1. Journal of Applied Social Psychology, 33(3), 604-626.
37. Cocanougher, A. B., & Bruce, G. D. (1971). Socially distant reference groups and consumer aspirations. Journal of Marketing Research, 8(3), 379-381.
38. Cornelius, N., Todres, M., Janjuha-Jivraj, S., Woods, A., & Wallace, J. (2014). Corporate social responsibility and the social enterprise. Journal of Business Ethics, 81(2), 355-370.
39. De Groot, J. I., & Steg, L. (2007). Value orientations and environmental beliefs in five countries validity of an instrument to measure egoistic, altruistic and biospheric value orientations. Journal of Cross-Cultural Psychology, 38(3), 318-332.
40. Dees, J. G., & Elias, J. (1998). The challenges of combining social and commercial enterprise. Business Ethics Quarterly, 8(1), 165-178.
41. Dees, J. G., Emerson, J., & Economy, P. (2011). Enterprising Nonprofits: A Toolkit for Social Entrepreneurs (Vol. 186). John Wiley & Sons.
42. Defourny, J., & Nyssens, M. (2008). Social enterprise in Europe: recent trends and developments. Social Enterprise Journal, 4(3), 202-228.
43. Dowling, G. R., & Staelin, R. (2014). A model of perceived risk and intended risk-handling activity. Journal of Consumer Research, 21(1), 119-134.
44. Drennan, J., Previte, J., & Mort, G. (2011). Exploring m-consumers′ transitioning between vulnerability and responsibility: an m-gambling consumption study. In Proceedings of the 3rd Australasian Nonprofit and Social Marketing Conference 2006: Controversies in Social Marketing: The Way Forward. University of Newcastle.
45. Ducci, G. (2013). Cittadini e istituzioni nei social network: sistemi relazionali e nuove forme di partecipazione. Citizens and Institutions in the Social Network: Relational Systems and New Forms of Participation). In Network Effect. Quando la Rete Diventa Pop fTVetwork Effect. When the Network Becomes Pop), edited by L. Mazzoli. Torino:′ndit: e.
46. Fazio, R. H., & Zanna, M. P. (1981). Direct experience and attitude-behavior consistency. Advances in Experimental Social Psychology, 14, 161-202.
47. Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451-474.
48. Fielding, K. S., Terry, D. J., Masser, B. M., Bordia, P., & Hogg, M. A. (2012). Explaining landholders′ decisions about riparian zone management: The role of behavioural, normative, and control beliefs. Journal of Environmental Management, 77(1), 12-21.
49. Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. ARRB Group Limited
50. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
51. Gabriel, U., & Greve, W. (2013). The psychology of fear of crime. Conceptual and methodological perspectives. British Journal of Criminology, 43(3), 600-614.
52. Gefen, D., & Straub, D. W. (2014). Managing user trust in B2C E-services.E-service Journal, 2(2), 7-24.
53. Gifford, K., & Bernard, J. C. (2006). Influencing consumer purchase likelihood of organic food. International Journal of Consumer Studies, 30(2), 155-163.
54. Greve, W. (2001). Traps and gaps in action explanation: Theoretical problems of a psychology of human action. Psychological Review, 108(2), 435.
55. Guilford, J. P. (1942). Fundamental statistics in psychology and education.
56. Guilford, J. P. (1966). Intelligence: 1965 model. American Psychologist, 21(1), 20.
57. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate Data Analysis (Vol. 6). Upper Saddle River, NJ: Pearson Prentice Hall.
58. Hansen, T., Risborg, M. S., & Steen, C. D. (2012). Understanding consumer purchase of free‐of cosmetics: A value‐driven TRA approach. Journal of Consumer Behaviour, 11(6), 477-486.
59. Hsu, M. H., & Chiu, C. M. (2004). Internet self-efficacy and electronic service acceptance. Decision Support Systems, 38(3), 369-381.
60. Hsu, M. H., & Chiu, C. M. (2004). Predicting electronic service continuance with a decomposed theory of planned behaviour. Behaviour & Information Technology, 23(5), 359-373.
61. Kaplan, L. B., Szybillo, G. J., & Jacoby, J. (2007). Components of perceived risk in product purchase: A cross-validation. Journal of Applied Psychology, 59(3), 287.
62. Karppinen, H. (2005). Forest owners’ choice of reforestation method: an application of the theory of planned behavior. Forest Policy and Economics, 7(3), 393-409.
63. Kerlin, J. A. (2006). Social enterprise in the United States and Europe: Understanding and learning from the differences. Voluntas: International Journal of Voluntary and Nonprofit Organizations, 17(3), 246-262.
64. Kim, Y. J., Njite, D., & Hancer, M. (2013). Anticipated emotion in consumers’ intentions to select eco-friendly restaurants: Augmenting the theory of planned behavior. International Journal of Hospitality Management, 34, 255-262.
65. Lascu, D. N., & Zinkhan, G. (2011). Consumer conformity: review and applications for marketing theory and practice. Journal of Marketing Theory and Practice, 7(3), 1-12.
66. Lessig, V. P., & Park, C. W. (1978). Promotional perspectives of reference group influence: Advertising implications. Journal of Advertising, 7(2), 41-47.
67. Lichtenstein, I. L., Shulman, A. G., Amid, P. K., & Montllor, M. M. (2004). The tension-free hernioplasty. The American Journal of Surgery, 157(2), 188-193.
68. Lin, C. P., Tsai, Y. H., Joe, S. W., & Chiu, C. K. (2013). Modeling IT product recall intention based on the theory of reasoned action and information asymmetry: a qualitative aspect. Quality & Quantity, 47(2), 753-759.
69. Lin, H. F. (2010). Applicability of the Extended Theory of Planned Behavior in Predicting Job Seeker Intentions to Use Job‐Search Websites. International Journal of Selection and Assessment, 18(1), 64-74.
70. Lindeman, M., & Väänänen, M. (2000). Measurement of ethical food choice motives. Appetite, 34(1), 55-59.
71. Liska, A. E. (2012). A critical examination of the causal structure of the Fishbein/Ajzen attitude-behavior model. Social Psychology Quarterly, 61-74.
72. Madden, T. J., Ellen, P. S., & Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and Social Psychology Bulletin, 18(1), 3-9.
73. Magnusson, D., & Magnusson, D. (Eds.). (2013). Toward a Psychology of Situations: An Interactional Perspective. Psychology Press.
74. Mair, J., & Marti, I. (2013). Social entrepreneurship research: A source of explanation, prediction, and delight. Journal of World Business, 41(1), 36-44.
75. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
76. Moschis, G. P., & Churchill Jr, G. A. (2012). Consumer socialization: A theoretical and empirical analysis. Journal of Marketing Research, 15(4), 599-609.
77. Nambisan, S., & Baron, R. A. (2009). Virtual customer environments: Testing a model of voluntary participation in value co‐creation activities. Journal of Product Innovation Management, 26(4), 388-406.
78. Nunnally, J. (1978). Psychometric methods. New York: McGraw-Hill.
79. Oliver, R. L., & Bearden, W. O. (2013). Crossover effects in the theory of reasoned action: A moderating influence attempt. Journal of Consumer Research, 12(3), 324-340.
80. Park, C. W., & Lessig, V. P. (2012). Familiarity and its impact on consumer decision biases and heuristics. Journal of Consumer Research, 8(2), 223-231.
81. Pelchat, M. L. (2012). Images of desire: Food-craving activation during fMRI. Neuroimage, 23(4), 1486-1493.
82. Primmer, E., & Karppinen, H. (2010). Professional judgment in non-industrial private forestry: Forester attitudes and social norms influencing biodiversity conservation. Forest Policy and Economics, 12(2), 136-146.
83. Ramayah, T., Lee, J. W. C., & Lim, S. (2012). Sustaining the environment through recycling: An empirical study. Journal of Environmental Management, 102, 141-147.
84. Rao, A. R., & Monroe, K. B. (2011). The effect of price, brand name, and store name on buyers′ perceptions of product quality: An integrative review.Journal of Marketing Research, 26(3), 351-357.
85. Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods (Vol. 1). Sage.
86. Robinson, S. R., Irmak, C., & Jayachandran, S. (2012). Choice of cause in cause-related marketing. Journal of Marketing, 76(4), 126-139.
87. Roddy, G., Cowan, C. A., & Hutchinson, G. (1996). Consumer attitudes and behaviour to organic foods in Ireland. Journal of International Consumer Marketing, 9(2), 41-63.
88. Rosenberg, M. J., & Hovland, C. I. (1960). Cognitive, affective, and behavioral components of attitudes. Attitude Organization and Change: An Analysis of Consistency among Attitude Components, 3, 1-14.
89. Salamon, L. M., & Anheier, H. K. (2012). Defining the Nonprofit Sector: A Cross-National Analysis. Manchester University Press.
90. Sánchez, M., Grande, I., Gil, J. M., & Gracia, A. (2000). Evaluación del potencial de mercado de los productos de agricultura ecológica. Revista Española de Investigación de Marketing ESIC, 2(1), 135-150.
91. Schein, E. H. (1990). Organizational Culture (Vol. 45, No. 2, p. 109). American Psychological Association.
92. Segars, A. H., & Grover, V. (1998). Strategic information systems planning success: an investigation of the construct and its measurement. MIS Quarterly, 22(2), 139-163.
93. Shaw, M., & Garlan, D. (2010). Software Architecture: Perspectives on an Emerging Discipline (Vol. 1, p. 12). Englewood Cliffs: Prentice Hall.
94. Shimp, T. A., & Bearden, W. O. (2011). Warranty and other extrinsic cue effects on consumers′ risk perceptions. Journal of Consumer Research, 9(1), 38-46.
95. Shimp, T. A., & Kavas, A. (2012). The theory of reasoned action applied to coupon usage. Journal of Consumer Research, 795-809.
96. Singer, M. S., & Singer, A. E. (2010). Observer judgements about moral agents′ ethical decisions: The role of scope of justice and moral intensity.Journal of Business Ethics, 16(5), 473-484.
97. Sirdeshmukh, D., Singh, J., & Sabol, B. (2012). Consumer trust, value, and loyalty in relational exchanges. Journal of Marketing, 66(1), 15-37.
98. Skloot, R., & Turpin, B. (2010). The Immortal Life of Henrietta Lacks (p. 369). New York: Crown Publishers.
99. Spash, C. L., Urama, K., Burton, R., Kenyon, W., Shannon, P., & Hill, G. (2009). Motives behind willingness to pay for improving biodiversity in a water ecosystem: Economics, ethics and social psychology. Ecological Economics, 68(4), 955-964.
100. Spreng, R. A., Dixon, A. L., & Olshavsky, R. W. (2013). The impact of perceived value on consumer satisfaction. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 6(1), 50-55.
101. Susanto, T. D., & Goodwin, R. (2011). User acceptance of SMS-based egovernment services. In Electronic Government (pp. 75-87). Springer Berlin Heidelberg.
102. Tan, M., & Teo, T. S. (2000). Factors influencing the adoption of Internet banking. Journal of the AIS, 1(1es), 1-44.
103. Tarkiainen, A., & Sundqvist, S. (2005). Subjective norms, attitudes and intentions of Finnish consumers in buying organic food. British Food Journal, 107(11), 808-822.
104. Tarkiainen, A., & Sundqvist, S. (2009). Product involvement in organic food consumption: Does ideology meet practice. Psychology & Marketing, 26(9), 844-863.
105. Taylor, S., & Todd, P. A. (1995a). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions.International Journal of Research in Marketing, 12(2), 137-155.
106. Taylor, S., & Todd, P. A. (1995b). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
107. Thurstone, L. L., & Chave, E. J. (1929). The Measurement of Attitude. Oxford, England: Univ. of Chicago Press.
108. Triandis, H. C. (1979). Values, attitudes, and interpersonal behavior. In Nebraska Symposium on Motivation. University of Nebraska Press.
109. Venkatesh, V., & Davis, F. D. (2012). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
110. Wandel, M., & Bugge, A. (2011). Environmental concern in consumer evaluation of food quality. Food Quality and Preference, 8(1), 19-26
111. Wang, Y., Wiegerinck, V., Krikke, H., & Zhang, H. (2013). Understanding the purchase intention towards remanufactured product in closed-loop supply chains: An empirical study in China. International Journal of Physical Distribution & Logistics Management, 43(10), 866-888.
112. Wood, C. M., & Scheer, L. K. (2013). Incorporating perceived risk into models of consumer deal assessment and purchase intent. Advances in Consumer Research, 23, 399-404.
113. Ye, Z. S., Guo, R. N., Cai, X. F., Chen, M. W., Shi, L., & Zhou, Y. G. (2013). Enantioselective Iridium‐Catalyzed Hydrogenation of 1‐and 3‐Substituted Isoquinolinium Salts. Angewandte Chemie International Edition, 52(13), 3685-3689.
114. Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2010). Explaining internet banking behavior: theory of reasoned action, theory of planned behavior, or technology acceptance model. Journal of Applied Social Psychology, 40(5), 1172-1202.
115. Zeithaml, V. A. (2011). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. The Journal of Marketing, 52(3), 2-22.

網路文獻

1. 經濟部中小企業處，「社會企業成長率及社會企業銷售額成長率」，
http://www.moeasmea.gov.tw/mp.asp?mp=1

指導教授

洪秀婉、沈建文(Shiu-wan Hung Chien-Wen Shen)

審核日期

2015-6-30

推文