博碩士論文 102421020 詳細資訊

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:8 、訪客IP:
姓名 邱柏盛(Po-sheng Chiu)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 影響Y世代消費者對智慧綠色產品購買意圖與使用意圖的因素:以智慧節能裝置為例
★ 美國軟體產業創新活動與財務效率分析★ Performance Measurements of Web 2.0, Social Media, and Mobile Apps for Municipal Emergency Management
★ 中國大陸股權結構與自願性財務預測之關聯性★ 我國半導體產業下游公司法人說明會對供應鏈上游公司投資現金流量敏感度的影響
★ 線上串流音樂服務之使用者抗拒意圖研究★ 從認知理論探討創業機會辨識對績效之影響
★ Application of social media mining on the comparison between two-dimensional barcode and near field communication★ 應用社群探勘技術分析城市之創業精神與新創公司的特性
★ 科技接受度與學習風格對於頭戴式虛擬實境應用在學習行為意圖的影響★ 電子發票巨量資料視覺化分析-以酒的消費為例
★ 應用文字探勘分析ERP之趨勢發展:以Twitter為例★ 社群媒體文字採礦之研究:以第三方物流公司為例
★ 應用文字探勘技術分析遊戲產業趨勢:以兩大遊戲展之相關推文為例★ 台灣有機食品消費與疾病死亡率之視覺化分析
★ 酒類消費與犯罪率之視覺化分析★ 零售業粉絲專頁分析
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]   至系統瀏覽論文 ( 永不開放)
摘要(中) 隨著物聯網技術與應用的創新發展,智慧綠色產品在物聯網的應用中亦扮演了重要的角色。本研究試圖透過文獻回顧找出可能影響智慧綠色產品購買意圖與使用意圖的因素,並提出這些因素是否顯著影響智慧綠色產品購買意圖與使用意圖的假設,利用結構方程式模型的方法進行分析。本研究以Y世代消費者為對象,利用網路問卷的方式取得有效樣本 316 份,根據研究的結果發現,對購買意圖有顯著正向影響的有社會影響、個人規範、價值、察覺、環境問題的嚴重性、預期效用與個人創新能力等 7 個因素;對使用意圖有顯著正向影響的有個人規範、環境問題的嚴重性、操作上的難易、預期效用、對資訊與服務的興趣和個人創新能力等 6 個因素,此外,專業知識及可取得性對使用意圖有顯著負向的影響。本研究結果顯示,廠商進行銷售或推廣時,消費者所重視的因素是不同的,然而不管是銷售或推廣,廠商均能針對上述構面做出行銷上、研發上或策略性的調整,設計出最能滿足消費者需求的商業模式。
摘要(英) With innovative development of technology and applications of ‘Internet of Things’ (IoT), smart and green products have played an important role in the applications of IoT. Through summarizing literature review, this study tried to find out factors that may affect the purchase intention and use intention of smart and green product. I also hypothesized that these factors would significantly affect purchase intention and use intention of smart and green product. Structural equation modeling (SEM) was applied to test the proposed hypotheses. The target of this study is on the generation Y consumers. Accordingly, 316 samples based on internet questionnaire were collected for hypothesis testing. Results of SEM analysis suggest that the factors of social influence, personal norms, value, awareness, perceived seriousness of environmental problems, expected usefulness, and personal innovativeness in IT have positive and significant influences on purchase intention. Additionally, the factors of personal norms, perceived seriousness of environmental problems, ease of use, expected usefulness, personal interest on service, and personal innovativeness in IT would affect use intention of smart and green product. Moreover, expertise and availability would significantly affect use intention of smart and green product in a negative way. The result shows that different factors affect consumers’ purchasing and use behavior on smart and green products. Therefore, firms can refer the findings of this research to modify their marketing, R&D, and strategical positioning in order to provide the smart and green products that satisfy customers’ needs.
關鍵字(中) ★ 綠色產品
★ 智慧產品
★ 購買意圖
★ 使用意圖
★ Y世代
關鍵字(英) ★ green product
★ smart product
★ purchase intention
★ use intention
★ generation Y
論文目次 中文摘要 ii
誌謝 iv
圖目錄 vii
表目錄 viii
第一章 緒論 1
1.1研究背景與動機 1
1.2 研究目的 2
1.3 研究架構 3
第二章 文獻探討 5
2.1綠色產品 5
2.2 智慧產品 9
第三章 研究方法 14
3.1 研究假設 14
3.1.1 社會影響對使用意圖與購買意圖 14
3.1.2 品質對使用意圖與購買意圖 15
3.1.3 信任對使用意圖與購買意圖 17
3.1.4 自我形象對使用意圖與購買意圖 18
3.1.5 個人規範對使用意圖與購買意圖 19
3.1.6 消費者對改善環境的態度對使用意圖與購買意圖 20
3.1.7 價值對使用意圖與購買意圖 20
3.1.8 專業知識對使用意圖與購買意圖 21
3.1.9 察覺對使用意圖與購買意圖 22
3.1.10 可取得性對使用意圖與購買意圖 23
3.1.11 環境問題的嚴重性對使用意圖與購買意圖 24
3.1.12 操作上的難易對使用意圖與購買意圖 25
3.1.13 預期效用對使用意圖與購買意圖 26
3.1.14 隱私對使用意圖與購買意圖 27
3.1.15 對資訊與服務的興趣對使用意圖與購買意圖 28
3.1.16 個人創新能力對使用意圖與購買意圖 29
3.2 測量變數 30
3.2.1 社會影響 31
3.2.2 品質 32
3.2.3 信任 33
3.2.4 自我形象 34
3.2.5 個人規範 35
3.2.6 消費者對改善環境的態度 36
3.2.7 價值 36
3.2.8 專業知識 37
3.2.9 察覺 38
3.2.10 可取得性 39
3.2.11環境問題的嚴重性 40
3.2.12 操作上的難易 41
3.2.13 預期效用 42
3.2.14 隱私 43
3.2.15 對資訊與服務的興趣 44
3.2.16 個人創新能力 45
3.2.17 購買意圖 46
3.2.18 使用意圖 47
3.3 研究方法 48
3.3.1 敘述性統計分析 48
3.3.2 信度分析 49
3.3.3 效度分析 49
3.3.4 結構方程式模型分析 50
第四章 研究結果與討論 53
4.1 敘述性統計 53
4.2 信度、效度分析 61
4.3 結構方程式模型分析 66
第五章 結論 76
參考文獻 82
附錄 94
參考文獻 Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215.
Ahmad, H., Shah, I. A., & Ahmad, K. (2010). Factors in environmental advertising influencing consumer’s purchase intention. European Journal of Scientific Research, 48(2), 217-226.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Arvola, A., Vassallo, M., Dean, M., Lampila, P., Saba, A., Lähteenmäki, L., & Shepherd, R. (2008). Predicting intentions to purchase organic food: The role of affective and moral attitudes in the Theory of Planned Behaviour. Appetite, 50(2), 443-454.
Baldauf, A., Cravens, K. S., & Binder, G. (2003). Performance consequences of brand equity management: evidence from organizations in the value chain. Journal of product & brand management, 12(4), 220-236.
Balderjahn, I. (1988). Personality variables and environmental attitudes as predictors of ecologically responsible consumption patterns. Journal of business research, 17(1), 51-56.
Bamberg, S., Hunecke, M., & Blöbaum, A. (2007). Social context, personal norms and the use of public transportation: Two field studies. Journal of Environmental Psychology, 27(3), 190-203.
Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological review, 84(2), 191.
Barnaghi, P., Wang, W., Henson, C., & Taylor, K. (2012). Semantics for the Internet of Things: early progress and back to the future. International Journal on Semantic Web and Information Systems (IJSWIS), 8(1), 1-21.
Bigsby, H., & Ozanne, L. K. (2002). The purchase decision: consumers and environmentally certified wood products. Forest Products Journal, 52(7-8), 100-105.
Brown, J. D., & Wahlers, R. G. (1998). The environmentally concerned consumer: an exploratory study. Journal of Marketing Theory and Practice, 39-47.
Cairncross, F. (1993). Costing the earth: the challenge for governments, the opportunities for business: Harvard Business School Press.
Calisir, F., & Calisir, F. (2004). The relation of interface usability characteristics, perceived usefulness, and perceived ease of use to end-user satisfaction with enterprise resource planning (ERP) systems. Computers in Human Behavior, 20(4), 505-515.
Carter, L., & Bélanger, F. (2005). The utilization of e‐government services: citizen trust, innovation and acceptance factors*. Information systems journal, 15(1), 5-25.
Cary, J., Bhaskaran, S., & Polonsky, M. (2004). Green marketing and EMS: assessing potential consumer influence on EMS development in fresh food chains: a report for the Rural Industries Research and Development Corporation: RIRDC.
Chan. (2000). Market segmentation of green consumers in Hong Kong. Journal of International Consumer Marketing, 12(2), 7-24.
Chan, & Lau. (2000). Antecedents of green purchases: a survey in China. Journal of consumer marketing, 17(4), 338-357.
Chandran, S., & Morwitz, V. G. (2005). Effects of participative pricing on consumers′ cognitions and actions: A goal theoretic perspective. Journal of consumer research, 32(2), 249-259.
Chang. (2004). The interplay of product class knowledge and trial experience in attitude formation. Journal of Advertising, 33(1), 83-92.
Chang, & Cheung. (2001). Determinants of the intention to use Internet/WWW at work: a confirmatory study. Information & management, 39(1), 1-14.
Chang, & Fong. (2010). Green product quality, green corporate image, green customer satisfaction, and green customer loyalty. African Journal of Business Management, 4(13), 2836-2844.
Chebat, J.-C., El Hedhli, K., & Sirgy, M. J. (2009). How does shopper-based mall equity generate mall loyalty? A conceptual model and empirical evidence. Journal of Retailing and Consumer Services, 16(1), 50-60.
Chen, & Chai. (2010). Attitude towards the environment and green products: Consumers’ perspective. Management science and engineering, 4(2), 27-39.
Chen, C.-F., & Chang, Y.-Y. (2008). Airline brand equity, brand preference, and purchase intentions—The moderating effects of switching costs. Journal of Air Transport Management, 14(1), 40-42.
Cheung, W., Chang, M. K., & Lai, V. S. (2000). Prediction of Internet and World Wide Web usage at work: a test of an extended Triandis model. Decision Support Systems, 30(1), 83-100.
Childers, T. L., & Rao, A. R. (1992). The influence of familial and peer-based reference groups on consumer decisions. Journal of consumer research, 198-211.
Chiu, C.-M., & Wang, E. T. (2008). Understanding Web-based learning continuance intention: The role of subjective task value. Information & management, 45(3), 194-201.
Clifford, S., & Martin, A. (2011). As consumers cut spending,‘green’products lose allure. New York Times, 21.
Coetzee, L., & Eksteen, J. (2011). The Internet of Things-promise for the future? An introduction. Paper presented at the IST-Africa Conference Proceedings, 2011.
Cook, D., & Das, S. (2004). Smart environments: Technology, protocols and applications (Vol. 43): John Wiley & Sons.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. psychometrika, 16(3), 297-334.
Curtius, H. C., Kuenzel, K., & Loock, M. (2012). Generic customer segments and business models for smart grids. der markt, 51(2-3), 63-74.
D′Souza, C. (2004). Ecolabel programmes: a stakeholder (consumer) perspective. Corporate Communications: An International Journal, 9(3), 179-188.
D′Souza, C., Taghian, M., & Lamb, P. (2006). An empirical study on the influence of environmental labels on consumers. Corporate Communications: An International Journal, 11(2), 162-173.
Dagher, G. K., & Itani, O. (2014). Factors influencing green purchasing behaviour: Empirical evidence from the Lebanese consumers. Journal of Consumer Behaviour, 13(3), 188-195.
Das. (2014). Linkages of retailer awareness, retailer association, retailer perceived quality and retailer loyalty with purchase intention: A study of Indian food retail brands. Journal of Retailing and Consumer Services, 21(3), 284-292.
Das, & Cook. (2005). Designing smart environments: A paradigm based on learning and prediction Pattern Recognition and Machine Intelligence (pp. 80-90): Springer.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of applied social psychology, 22(14), 1111-1132.
Dinev, T., & Hart, P. (2006). An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17(1), 61-80.
Dinev, T., Hart, P., & Mullen, M. R. (2008). Internet privacy concerns and beliefs about government surveillance–An empirical investigation. The Journal of Strategic Information Systems, 17(3), 214-233.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers′ product evaluations. Journal of marketing research, 307-319.
Dupré, S. (2005). Talk the walk: Advancing sustainable lifestyles through marketing and communications: United Nations Environmental Programme (UNEP).
Elie-Dit-Cosaque, C., Pallud, J., & Kalika, M. (2011). The influence of individual, contextual, and social factors on perceived behavioral control of information technology: A field theory approach. Journal of Management Information Systems, 28(3), 201-234.
Ellen, P. S., Wiener, J. L., & Cobb-Walgren, C. (1991). The role of perceived consumer effectiveness in motivating environmentally conscious behaviors. Journal of Public Policy & Marketing, 102-117.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research.
Freudenthal, A., & Mook, H. (2003). The evaluation of an innovative intelligent thermostat interface: universal usability and age differences. Cognition, Technology & Work, 5(1), 55-66.
Fryxell, G. E., & Lo, C. W. (2003). The influence of environmental knowledge and values on managerial behaviours on behalf of the environment: An empirical examination of managers in China. Journal of Business Ethics, 46(1), 45-69.
Funk, J. B., Baldacci, H. B., Pasold, T., & Baumgardner, J. (2004). Violence exposure in real-life, video games, television, movies, and the internet: is there desensitization? Journal of adolescence, 27(1), 23-39.
Gallego, M. D., Luna, P., & Bueno, S. (2008). User acceptance model of open source software. Computers in Human Behavior, 24(5), 2199-2216.
Gan, C., Wee, H. Y., Ozanne, L., & Kao, T.-H. (2008). Consumers’ purchasing behavior towards green products in New Zealand. Innovative Marketing, 4(1), 93-102.
Geller, E. S. (1992). It takes more than information to save energy.
Gerlach, J., Widjaja, T., & Buxmann, P. (2015). Handle with care: How online social network providers’ privacy policies impact users’ information sharing behavior. The Journal of Strategic Information Systems, 24(1), 33-43.
Getzner, M., & Grabner-Kräuter, S. (2004). Consumer preferences and marketing strategies for “green shares” Specifics of the Austrian market. International Journal of Bank Marketing, 22(4), 260-278.
Gilg, A., Barr, S., & Ford, N. (2005). Green consumption or sustainable lifestyles? Identifying the sustainable consumer. Futures, 37(6), 481-504.
Gleim, & Lawson. (2014). Spanning the gap: an examination of the factors leading to the green gap. Journal of consumer marketing, 31(6/7), 503-514.
Gleim, Smith, Andrews, & Cronin. (2013). Against the green: A multi-method examination of the barriers to green consumption. Journal of Retailing, 89(1), 44-61.
Goldstein, N. J., Cialdini, R. B., & Griskevicius, V. (2008). A room with a viewpoint: Using social norms to motivate environmental conservation in hotels. Journal of consumer research, 35(3), 472-482.
Haryanto, B., & Budiman, S. (2014). The Role of Environmental Knowledge in Moderating the Consumer Behavioral Processes Toward the Green Products (Survey on the Green Product-mind in Indonesian).
Hauttekeete, L., Stragier, J., Haerick, W., & De Marez, L. (2010). Smart, smarter, smartest… the consumer meets the smart electrical grid. Paper presented at the 9th Conference on Telecommunications Internet and Media Techno Economics (CTTE), 2010.
Hindol, R. (2012). Environmental advertising and its effects on consumer purchasing patterns in West Bengal, India. Research Journal of Management Sciences, 2319, 1171.
Holler, J., Tsiatsis, V., Mulligan, C., Avesand, S., Karnouskos, S., & Boyle, D. (2014). From Machine-to-machine to the Internet of Things: Introduction to a New Age of Intelligence: Academic Press.
Howe, N., & Strauss, W. (1992). Generations: The history of America′s future, 1584 to 2069: Harper Collins.
Hsu, C.-L., & Lu, H.-P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & management, 41(7), 853-868.
Huijts, N., Molin, E., & Van Wee, B. (2014). Hydrogen fuel station acceptance: A structural equation model based on the technology acceptance framework. Journal of Environmental Psychology, 38, 153-166.
Ismail, H., Panni, M., & Talukder, D. (2006). Consumer p erception on the enviromental consumerism i ssue and its influence on their purchasing behavior. Paper presented at the Allied Aca-demies International Conference. Academy of Legal, Ethical and Regulatory Issues Proceedings.
Ismail, H. B., & Panni, M. F. A. K. (2008). Consumer perceptions on the consumerism issues and its influence on their purchasing behavior: A view from Malaysian food industry. Journal of Legal, Ethical and Regulatory Issues, 11(1), 43.
James, T., Nottingham, Q., & Kim, B. C. (2013). Determining the antecedents of digital security practices in the general public dimension. Information Technology and Management, 14(2), 69-89.
Jansson, J., Marell, A., & Nordlund, A. (2011). Exploring consumer adoption of a high involvement eco‐innovation using value‐belief‐norm theory. Journal of Consumer Behaviour, 10(1), 51-60.
Johnson, M. D., & Ettlie, J. E. (2001). Technology, customization, and reliability. Journal of Quality Management, 6(2), 193-210.
Kalafatis, S. P., Pollard, M., East, R., & Tsogas, M. H. (1999). Green marketing and Ajzen′s theory of planned behaviour: a cross-market examination. Journal of consumer marketing, 16(5), 441-460.
Kaufmann, H. R., Panni, M., & Orphanidou, Y. (2012). Factors affecting consumers’ green purchasing behavior: an integrated conceptual framework. Amfiteatru Economic, 15(31), 50-69.
Kavilanz, P. B. (2008). The High Price of Going′Organic′. CNNMoney. com, 2.
Kim, Y., & Choi, S. M. (2005). Antecedents of green purchase behavior: An examination of collectivism, environmental concern, and PCE. Advances in Consumer Research, 32, 592.
Kollmuss, A., & Agyeman, J. (2002). Mind the gap: why do people act environmentally and what are the barriers to pro-environmental behavior? Environmental education research, 8(3), 239-260.
Komorita, S. S., & Parks, C. D. (1994). Social dilemmas: Brown & Benchmark.
Kowatsch, T., & Maass, W. (2012). Critical Privacy Factors of Internet of Things Services: An Empirical Investigation with Domain Experts Knowledge and Technologies in Innovative Information Systems (pp. 200-211): Springer.
Krasnova, H., & Veltri, N. F. (2010). Privacy calculus on social networking sites: Explorative evidence from Germany and USA. Paper presented at the System Sciences (HICSS), 2010 43rd Hawaii International Conference on.
Laroche, M., Bergeron, J., & Barbaro-Forleo, G. (2001). Targeting consumers who are willing to pay more for environmentally friendly products. Journal of consumer marketing, 18(6), 503-520.
Lee. (2008). Opportunities for green marketing: young consumers. Marketing intelligence & planning, 26(6), 573-586.
Lee, Cheung, & Chen. (2005). Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation. Information & management, 42(8), 1095-1104.
Lee, & Green. (1991). Cross-cultural examination of the Fishbein behavioral intentions model. Journal of international business studies, 289-305.
Lee, & Kozar. (2005). Investigating factors affecting the adoption of anti-spyware systems. Communications of the ACM, 48(8), 72-77.
Lee, Yoon, & Lee. (2007). Investigating the relationships among perceived value, satisfaction, and recommendations: The case of the Korean DMZ. Tourism management, 28(1), 204-214.
Lee, K. (2010). The green purchase behavior of Hong Kong young consumers: The role of peer influence, local environmental involvement, and concrete environmental knowledge. Journal of International Consumer Marketing, 23(1), 21-44.
Liao, C., Liu, C.-C., & Chen, K. (2011). Examining the impact of privacy, trust and risk perceptions beyond monetary transactions: An integrated model. Electronic Commerce Research and Applications, 10(6), 702-715.
Lin, & Huang. (2012). The influence factors on choice behavior regarding green products based on the theory of consumption values. Journal of Cleaner Production, 22(1), 11-18.
Lin, & Lu. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152-1161.
Lucas, H. C., & Spitler, V. (1999). Technology Use and Performance: A Field Study of Broker Workstations. Decision sciences, 30(2), 291-311.
Lucas, H. C., & Spitler, V. (2000). Implementation in a world of workstations and networks. Information & management, 38(2), 119-128.
Lynn, M., & Oldenquist, A. (1986). Egoistic and nonegoistic motives in social dilemmas. American Psychologist, 41(5), 529.
Mühlhäuser, M. (2008). Smart products: An introduction Constructing ambient intelligence (pp. 158-164): Springer.
Mainieri, T., Barnett, E. G., Valdero, T. R., Unipan, J. B., & Oskamp, S. (1997). Green buying: The influence of environmental concern on consumer behavior. The Journal of social psychology, 137(2), 189-204.
Malhotra, Y., Galletta, D. F., & Kirsch, L. J. (2008). How endogenous motivations influence user intentions: Beyond the dichotomy of extrinsic and intrinsic user motivations. Journal of Management Information Systems, 25(1), 267-300.
Martin, I. M., & Stewart, D. W. (2001). The differential impact of goal congruency on attitudes, intentions, and the transfer of brand equity. Journal of marketing research, 38(4), 471-484.
Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
Mayer, P., Volland, D., Thiesse, F., & Fleisch, E. (2011). User Acceptance of′Smart Products′: An Empirical Investigation. Paper presented at the Wirtschaftsinformatik.
McKnight, D. H., Lankton, N., & Tripp, J. (2011). Social networking information disclosure and continuance intention: A disconnect. Paper presented at the System Sciences (HICSS), 2011 44th Hawaii International Conference on.
Mei, O. J., Ling, K. C., & Piew, T. H. (2012). The antecedents of green purchase intention among Malaysian consumers. Asian Social Science, 8(13), p246.
Michaelidou, N., & Hassan, L. M. (2010). Modeling the factors affecting rural consumers’ purchase of organic and free-range produce: A case study of consumers’ from the Island of Arran in Scotland, UK. Food Policy, 35(2), 130-139.
Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web context. Information & management, 38(4), 217-230.
Moore. (2002). Crossing the chasm.
Moore, & Benbasat. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222.
Mostafa, M. M. (2006). Antecedents of Egyptian consumers′ green purchase intentions: a hierarchical multivariate regression model. Journal of International Consumer Marketing, 19(2), 97-126.
Mostafa, M. M. (2009). Shades of green: A psychographic segmentation of the green consumer in Kuwait using self-organizing maps. Expert Systems with Applications, 36(8), 11030-11038.
Nabi, Z., & Alvi, A. (2014). Clome: The practical implications of a cloud-based smart home. arXiv preprint arXiv:1405.0047.
Ndubisi, N., & Chiew, T. (2005). Customers behavioural responses to sales promotion: the role of fear of losing face. Asia Pacific Journal of Marketing and Logistics, 17(1), 32-49.
Nyborg, K., Howarth, R. B., & Brekke, K. A. (2006). Green consumers and public policy: On socially contingent moral motivation. Resource and energy economics, 28(4), 351-366.
O′Callaghan, F. V., & Nausbaum, S. (2006). Predicting bicycle helmet wearing intentions and behavior among adolescents. Journal of Safety Research, 37(5), 425-431.
O′Cass, A. (2004). Fashion clothing consumption: antecedents and consequences of fashion clothing involvement. European Journal of Marketing, 38(7), 869-882.
Osterhus, T. L. (1997). Pro-social consumer influence strategies: when and how do they work? The Journal of Marketing, 16-29.
Ottman, J. A. (1992). Industry′s response to green consumerism. Journal of Business Strategy, 13(4), 3-7.
Ottman, J. A., Stafford, E. R., & Hartman, C. L. (2006). Avoiding green marketing myopia: ways to improve consumer appeal for environmentally preferable products. Environment: Science and Policy for Sustainable Development, 48(5), 22-36.
Overby, J. W., & Lee, E.-J. (2006). The effects of utilitarian and hedonic online shopping value on consumer preference and intentions. Journal of business research, 59(10), 1160-1166.
Panni, M. F. A. K. (2006). Effect Of Consumerism Towards Customer Attitudinal Behaviour In Food Industry In Malaysia. Multimedia University.
Peattie, K. (1995). Environmental marketing management: Meeting the green challenge: Pitman London.
Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in experimental social psychology, 19, 123-205.
Pickett-Baker, J., & Ozaki, R. (2008). Pro-environmental products: marketing influence on consumer purchase decision. Journal of consumer marketing, 25(5), 281-293.
Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 11-64.
Ramayah, T., Lee, J. W. C., & Mohamad, O. (2010). Green product purchase intention: Some insights from a developing country. Resources, Conservation and Recycling, 54(12), 1419-1427.
Rashid, N. R. N. A. (2009). Awareness of eco-label in Malaysia’s green marketing initiative. International Journal of Business and Management, 4(8), p132.
Ray, S., Ow, T., & Kim, S. S. (2011). Security assurance: How online service providers can influence security control perceptions and gain trust. Decision sciences, 42(2), 391-412.
Reinhardt, F. L. (1998). Environmental product differentiation: Implications for corporate strategy. California management review, 40(4), 43-47.
Roberts, J. A. (1996). Green consumers in the 1990s: profile and implications for advertising. Journal of business research, 36(3), 217-231.
Rogers, E. M., & Shoemaker, F. F. (1971). Communication of Innovations; A Cross-Cultural Approach.
Rogers Everett, M. (1995). Diffusion of innovations. New York.
Rokicka, E., & Słomczyńska, J. (2002). Attitudes toward natural environment: A study of local community dwellers. International Journal of Sociology, 78-90.
Romani, S., Grappi, S., & Bagozzi, R. P. (2014). Corporate Socially Responsible Initiatives and Their Effects on Consumption of Green Products. Journal of Business Ethics, 1-12.
Rothensee, M. (2008). User acceptance of the intelligent fridge: empirical results from a simulation The Internet of Things (pp. 123-139): Springer.
Schuitema, G., & Groot, J. I. (2015). Green consumerism: The influence of product attributes and values on purchasing intentions. Journal of Consumer Behaviour, 14(1), 57-69.
Schwartz, S. H. (1977). Normative influences on altruism. Advances in experimental social psychology, 10, 221-279.
Schwartz, S. H., & Howard, J. A. (1984). Internalized values as motivators of altruism Development and maintenance of prosocial behavior (pp. 229-255): Springer.
Shaffer, D. (2008). Social and personality development: Cengage Learning.
Shang, R.-A., Chen, Y.-C., & Shen, L. (2005). Extrinsic versus intrinsic motivations for consumers to shop on-line. Information & management, 42(3), 401-413.
Sheng, H., Nah, F. F.-H., & Siau, K. (2008). An experimental study on ubiquitous commerce adoption: Impact of personalization and privacy concerns. Journal of the Association for Information Systems, 9(6), 15.
Sirgy, M. J. (1982). Self-concept in consumer behavior: A critical review. Journal of consumer research, 287-300.
Stragier, J., Hauttekeete, L., & De Marez, L. (2010). Introducing Smart grids in residential contexts: Consumers′ perception of Smart household appliances. Paper presented at the Innovative Technologies for an Efficient and Reliable Electricity Supply (CITRES), 2010 IEEE Conference on.
Stragier, J., Hauttekeete, L., De Marez, L., & Claessens, S. (2013). Towards more energy efficient domestic appliances? Measuring the perception of households on smart appliances. Energy & Environment, 24(5), 689-700.
Taylor, & Todd. (1995). Assessing IT usage: The role of prior experience. MIS quarterly, 561-570.
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: toward a conceptual model of utilization. MIS quarterly, 125-143.
Tingchi Liu, M., Huang, Y.-Y., & Minghua, J. (2007). Relations among attractiveness of endorsers, match-up, and purchase intention in sport marketing in China. Journal of consumer marketing, 24(6), 358-365.
Todd, A. M. (2004). The aesthetic turn in green marketing: Environmental consumer ethics of natural personal care products. Ethics & the environment, 9(2), 86-102.
Toft, M. B., Schuitema, G., & Thøgersen, J. (2014). Responsible technology acceptance: Model development and application to consumer acceptance of Smart Grid technology. Applied Energy, 134, 392-400.
Tsarenko, Y., Ferraro, C., Sands, S., & McLeod, C. (2013). Environmentally conscious consumption: The role of retailers and peers as external influences. Journal of Retailing and Consumer Services, 20(3), 302-310.
Uckelmann, D., Harrison, M., & Michahelles, F. (2011). An architectural approach towards the future internet of things Architecting the internet of things (pp. 1-24): Springer.
Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS quarterly, 695-704.
Van Doorn, J., & Verhoef, P. C. (2011). Willingness to pay for organic products: Differences between virtue and vice foods. International Journal of Research in Marketing, 28(3), 167-180.
Van Slyke, C., Comunale, C. L., & Belanger, F. (2002). Gender differences in perceptions of web-based shopping. Communications of the ACM, 45(8), 82-86.
Vastenburg, M. H., Keyson, D. V., & De Ridder, H. (2007). Measuring user experiences of prototypical autonomous products in a simulated home environment Human-Computer Interaction. Interaction Platforms and Techniques (pp. 998-1007): Springer.
Vazifehdoust, H., Taleghani, M., Esmaeilpour, F., & Nazari, K. (2013). Purchasing green to become greener: Factors influence consumers’ green purchasing behavior. Management Science Letters, 3(9), 2489-2500.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365.
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test*. Decision sciences, 27(3), 451-481.
Venkatesh, V., & Morris, M. G. (2000). Why don′t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS quarterly, 115-139.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
Vining, J., & Ebreo, A. (1990). What makes a recycler? A comparison of recyclers and nonrecyclers. Environment and behavior, 22(1), 55-73.
Vlosky, R. P., Ozanne, L. K., & Fontenot, R. J. (1999). A conceptual model of US consumer willingness-to-pay for environmentally certified wood products. Journal of consumer marketing, 16(2), 122-140.
Wahid, N. A., Rahbar, E., & Shyan, T. S. (2011). Factors influencing the green purchase behavior of Penang environmental volunteers. International Business Management, 5(1), 38-49.
Wire, N. (2011). The ‘green’gap between environmental concerns and the cash register.
Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85-102.
Wu, J.-H., & Wang, S.-C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & management, 42(5), 719-729.
Xu, Benbasat, & Cenfetelli. (2013). Integrating service quality with system and information quality: an empirical test in the e-service context. MIS quarterly, 37(3), 777-794.
Xu, & Gupta. (2009). The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services. Electronic Markets, 19(2-3), 137-149.
Yoo, B., Donthu, N., & Lee, S. (2000). An examination of selected marketing mix elements and brand equity. Journal of the academy of marketing science, 28(2), 195-211.
Young, W., Hwang, K., McDonald, S., & Oates, C. J. (2010). Sustainable consumption: green consumer behaviour when purchasing products. Sustainable development, 18(1), 20-31.
Zheng, Y., Zhao, K., & Stylianou, A. (2013). The impacts of information quality and system quality on users′ continuance intention in information-exchange virtual communities: An empirical investigation. Decision Support Systems, 56, 513-524.
Zhou, T., & Li, H. (2014). Understanding mobile SNS continuance usage in China from the perspectives of social influence and privacy concern. Computers in Human Behavior, 37, 283-289.
指導教授 沈建文(Chien-wen Shen) 審核日期 2015-7-24
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明