請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/46554完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 張重昭 | |
| dc.contributor.author | Yu-Hung Lee | en |
| dc.contributor.author | 李昱弘 | zh_TW |
| dc.date.accessioned | 2021-06-15T05:15:18Z | - |
| dc.date.available | 2011-07-23 | |
| dc.date.copyright | 2010-07-23 | |
| dc.date.issued | 2010 | |
| dc.date.submitted | 2010-07-22 | |
| dc.identifier.citation | Aaker, J. L., & Lee, A. Y. (2001). “I” seek pleasures and “We” avoid pains: the role of self-regulatory goals in information processing and persuasion. Journal of Consumer Research, 28(1), 33-49.
Aaker, J. L., & Lee, A. Y. (2006). Understanding regulatory fit. Journal of Marketing Research, 43(1), 15-19. Arias-Bolzmann, L., Chakraborty, G., & Mowen, J. C. (2000). Effects of absurdity in advertising: the moderating role of product category attitude and the mediating role of cognitive responses. Journal of Advertising, 29(1), 35-49. Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of Marketing Research, 4(3), 291–295. Ba, S., & Pavlou, P. A. (2002). Evidence of the effect of trust in electronic markets: price premiums and buyer behavior. MIS Quarterly, 26(2), 243–268. Batra, R. & Stayman, D. M. (1990). The role of mood in advertising effectiveness. Journal of Consumer Research, 17(2), 203-214. Bauer, R., & Hancock, R. S. (1960). Consumer behavior as risk-taking. American Marketing Association, 389–398. Bettman, J. R. (1973). Perceived risk and its components: a model and empirical test. Journal of Marketing Research, 10, 184-190 Brendl, C. M., & Higgins, E. T. (1996). Principles of judging valence: what makes events positives or negatives. Advances in Experimental Social Psychology, 28, 95-160. Brush, T. H., & Artz, K. W. (1999). Toward a contingent resource-based theory: the impact of information asymmetry on the value of capabilities in veterinary medicine. Strategic Management Journal, 20(3), 223–250. Cesario, J., Grant, H., & Higgins, E. T. (2004). Regulatory fit and persuasion: Transfer from “feeling right.” Journal of Personality and Social Psychology, 86(3), 388-404 Cesario, J., & Higgins, E. T. (2008). Making message recipients “feel right.” Psychological Science, 19(5), 415-420. Chang, C.C., & Chou, Y.J. (2008). Goal orientation and comparative valence in persuasion. Journal of Advertising, 37(1), 73-87. Chaudhuri, A. (1998). Product class effects on perceived-risk: the role of emotion. International Journal of Research in Marketing, 15, 157–168. Chernev, A. (2004). Goal-Attribute compatibility in consumer choice. Journal of Consumer Psychology, 14(1/2), 141-150. Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: online book reviews. Journal of Marketing Research, 43(3), 345-354 Clemons, E. K., Gao, G., & Hitt, L. M. (2006). When online reviews meet hyperdifferentiation: a study of the craft beer industry. Journal of Management Information Systems, 23(2), 149–171. Copeland, M.T. (1923). Relation of consumers' buying habits of marketing methods. Harvard Business Review, 1, 282–289. Crowe, E., & Higgins, E. T. (1997). Regulatory focus and strategic inclinations: Promotion and prevention in decision-making. Organizational Behavior and Human Decision Processes, 69(2), 117-132 Darby, M. R., & Karni, E. (1973). Free competition and the optimal amount of fraud. The Journal of Law and Economics, 16, 67-86. Dellarocas, C. (2003). The digitization of word of mouth: promise and challenges of online feedback mechanisms. Management Science, 49(10), 1407–1424. Dholakia, U. M. (1997). An investigation of the relationship between perceived risk and product involvement. Advances in Consumer Research, 24, 159–167. Friedman, R.S., & Förster, J. (2001). The effects of promotion and prevention cues on creativity. Journal of Personality and Social Psychology, 81(6), 1001–1013. Gershoff, A. D., Mukherjee, A., & Mukhopadhyay, A. (2003). Consumer acceptance of online agent advice: extremity and positivity effects. Journal of Consumer Psychology, 13(1/2), 161-170. Girard, T., & Dion, P. (2009). Validating the search, experience, and credence product classification framework. Journal of Business Research. Gruen, T. W., Osmonbekov, T., & Czaplewski, A. J. (2006). eWOM: the impact of customer-to-customer online know-how exchange on customer value and loyalty. Journal of Business Research, 59(4), 449-456 Guiltinan, J. P. (1987). The price bundling of services: a normative framework. Jounal of Marketing, 51(2), 74-85 Gupta, P. & Harris, J. (in press). How e-WOM recommendations influence product consideration and quality of choice: a motivation to process information perspective. Journal of Business Research Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth: what motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38–52. Higgins, E. T. (1997). Beyond pleasure and pain. American Psychologist, 52, 1280-1300. Higgins, E. T., Roney, C., Crowe, E., & Hymes, C. (1994). Ideal versus ought predilections for approach and avoidance: distinct self-regulatory systems. Journal of Personality and Social Psychology, 66(2), 276-286. Higgins, E. T., Friedman, R. S., Harlow, R. E., Idson, L. C., Ayduk, O. N., & Taylor, A. (2001). Achievement orientations from subjective histories of success: promotion pride versus prevention pride. European Journal of Social Psychology, 31(1), 3-23. Hu, N., Pavlou, P., & Zhang, J. (2006). Can online reviews reveal a product’s true quality? Empirical findings and analytical modeling of online word-of-mouth communication. Proceedings of the 7th ACM Conference on Electronic Commerce, 324–330. Idson, L. C., Liberman, N., & Higgins, E. T. (2000). Distinguishing gains from nonlosses and losses from nongains: a regulatory focus perspective on hedonic inintensity. Journal of Experimental Social Psychology, 36(3), 252-274. Idson, L. C., Liberman, N., & Higgins, E. T. (2004). Imaging how you’d feel: the role of motivational experience from regulatory fit. Personality and Social Psychology Bulletin, 30(7), 926-937. Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. Proceedings Third Annual Conference Association Consumer Research, 382–393. Jarvenpaa, S. L., & Todd, P. A. (1996). Consumer reactions to electronic shopping on the world wide web. International Journal of Electronic Commerce, 1, 59–88. Klein, L. R. (1998). Evaluating the potential of interactive media through a new lens: search versus experience goods. Journal of Business Research, 41(3), 195–203. Knapp, M. L., & Daly, J. A. (2002). Handbook of Interpersonal Communication. Thousand Oaks, CA. Krishnan, B. C., & Hartline, M. D. (2001). Brand Equity: is it more important in services? Journal of Services Marketing, 15(5), 328-342. Laczniak, R. N., DeCarlo, T. E., & Ramaswami, S. N. (2001). Consumers' responses to negative word-of-mouth communication: an attribution theory perspective. Journal of Consumer Psychology, 11(1), 57–73. Lee, A. Y., & Aaker, J. L. (2004). Bringing the frame into focus: the influence of regulatory fit on processing fluency and persuasion. Journal of Personality and Social Psychology, 86(2), 205-218. Lockwood, P., Jordan, C. H., & Kunda, Z. (2002). Motivation by positive and negative role models: regulatory focus determines who will best inspire us. Journal of Personality and Social Psychology, 83(4), 854-864. Maheswaran, D., & Sternthal, B. (1990). The effects of knowledge, motivation, and type of message on Ad processing and product judgment. Journal of Consumer Research, 17(1), 66-73. Mitra, K., Reiss, M. C., & Capella, L.M. (1999). An examination of perceived risk, information search and behavioral intentions in search, experience and credence services. Journal of Services Marketing, 13(3), 208-228. Mizerski, R.W. (1982). An attribution explanation of the disproportionate influence of unfavorable information. Journal of Consumer Research, 9(3), 301-310. Murray, K. B., & Schlater, J. L. (1990). The impact of services versus goods on consumers assessment of perceived risk. Journal of the Academy of Marketing Science, 18(1), 51-65. Nelson, P. (1970). Information and consumer behavior. Journal of Political Economy, 78(2), 311-329. Nelson, P. (1974). Advertising as information. Journal of Political Economy, 82, 729-754. Ostrom, A., & Iacobucci, D. (1995). Consumer trade-offs and the evaluation of services. Journal of Marketing, 59(1), 17–28. Peter, J. P., & Ryan, M. J. (1976). An investigation of perceived risk at the brand level. Journal of Marketing Research, 13, 184-188 Pham, M. T., & Avnet, T. (2004). Ideals and oughts and the reliance on affect versus substance in persuasion. Journal of Consumer Research, 30(4), 502-518. Porter, M. (1985). Competitive Advantage. New York Free Press. Roselius, T. (1971). Consumer rankings of risk reduction methods. Journal of Marketing, 35, 56–61. Shah, J., Higgins, E. T., & Friedman, R. (1998). Performance incentives and means: how regulatory focus influences goal attainment. Journal of Personality and Social Psychology, 74(2), 285-293. Skowronski, J. J., & Carlston, D. E. (1987). Social judgment and social memory: the role of cue diagnosticity in negativity, positivity, and extremity biases. Journal of Personality and Social Psychology, 52(4), 689-699. Skowronski, J. J., & Carlston, D. E. (1989). Negativity and extremity biases in impression formation: a review of explanations. Psychological Bulletin, 105(1), 131-142. Spiegel, S., Grant-Pillow, H., & Higgins, E. T. (2004). How regulatory fit enhances motivational strength during goal pursuit. European Journal of Social Psychology, 34(1), 39-54. Tanner, W. P., & Swets, J. A. (1954). A decision-making theory of visual detection. Psychological Review, 61(6), 401-409. Trope, Y., & Liberman, A. (1996). Social hypothesis testing: cognitive and motivational mechanism. Social Psychology: Handbook of Basic Principles, 239-270. Walther, J. B. (1996). Computer-mediated communication: impersonal, interpersonal, and hyperpersonal interaction. Communication Research, 23(1), 1-43. Yang, J., & Mai, E. (in press). Experiential goods with network externalities effects: an empirical study of online rating system. Journal of Business Research. Zeithaml, V. A. (1981). How consumer evaluation processes differ between goods and services. Marketing of Services, 186-190. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/46554 | - |
| dc.description.abstract | 由Higgins發展出的調節焦點理論將人分為促進型焦點與預防型焦點兩大類。此兩種不同類型的焦點在不同個體上,所追求的目標、滿足的需求、對結果的期待與反應以及策略方向上都不相同。促進型焦點所追求的是:撫育的需求(Nurturance Needs)、強而有力的理想(Strong Ideals)、同時當正向結果出現時會感覺到愉悅;而對於正向結果消失時會感覺到痛苦(Gain – Non-gain Situation)。他們對於正向的結果存在著較高的敏銳性,為了確保正向結果出現,促進型焦點的個體會使用趨近式策略方法(Approach as Strategic Means)。預防型焦點所追求的是:安全的需求(Security Needs)、強而有力的責任目標(Strong Oughts)、同時當負向結果出現時感覺到痛苦,反之對於負向結果的消失感覺到愉悅(Loss – Non-Loss Situation)。他們對於負向結果存在較高的敏銳性,為了確保負向結果的消失,他們會使用趨避式策略方法來達成目標(Avoidance as Strategic Means)。
此兩種調節焦點個體在心理以及行為上反應的不同,是否可以延伸運用至真實生活中,抑或是應用至實際的市場是一個相當有趣的課題。先前的研究大部分都是將調節焦點理論適用在不同產品類型上,端看兩種調節焦點個體是否有不同的反應或選擇。而本研究將調節焦點理論與現實生活中的網路世界作一適當的結合,實驗中我們採用搜尋型產品(Search Goods)、經驗型產品(Experience Goods)、信用型產品(Credence Goods)作為不同潛在風險的指標,來探測不同調節焦點的個體在面對產品訊息網路口碑(Electronic Words-of-Mouth),檢驗在上述的三種產品當中,兩種調節焦點的個體在面對平均數與標準差不同的網路口碑時,是否有選擇上的差異。 | zh_TW |
| dc.description.abstract | The Regulatory Focus Theory classifies individuals into two categories, promotion focus and prevention focus. Two different foci pursue different goals, expectations, responses, and strategic approach to their desired end-states. Promotion focus concerns nurturance needs, strong ideals, sensitivity to presence or absence of positive outcomes as well as approach as strategic means. Prevention focus concerns security needs, strong oughts, sensitivity to presence or absence of negative outcomes as well as avoidance as strategic means.
What intrigues us is whether this theoretical framework could be applied in real market in daily life. Most of previous researches paid attention on different responses or choices between two foci in different products. The article associates the regulatory focus theory with cyberspace appropriately. Using search goods, experience goods, credence goods as indices of distinct potential risk, the experiment discover different preference between two foci upon individuals confront electronic word-of-mouth. We would like to know whether the various preferences between three product types result from dissimilitude in mean and standard deviation. The result shows that promotion focus consumer always prefer those goods with higher mean and higher standard deviation, whereas prevention focus consumer prefer search goods with higher mean and higher standard deviation while prefer credence goods with lower mean and lower standard deviation. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T05:15:18Z (GMT). No. of bitstreams: 1 ntu-99-R97741002-1.pdf: 1359670 bytes, checksum: e05b52ae3e27b8bb4485b633ecf60fdc (MD5) Previous issue date: 2010 | en |
| dc.description.tableofcontents | Table of Contents
中文摘要 i Abstract ii Table of Contents iii List of Figures v List of Tables vi Chapter 1 Introduction 1 1.1 Research Motivation 1 1.2 Research Objectives 3 Chapter 2 Literature Review 4 2.1 Regulatory Focus Theory 4 2.2 Perceived Risk 9 2-3 Search Goods, Experience Goods & Credence Goods 12 2-4 Electronic word-of-mouth: eWOM 14 2-5 Research Hypotheses 16 Chapter 3 Methodology 20 3-1 Research Framework 20 3-2 Research Variables 21 3-3 Research Design 23 3-4 Analysis Methodology 28 Chapter 4 Results 30 4-1 Pretest 30 4-2 Main Test Sample Profiles 33 4-3 Reliability Analysis 35 4-4 Hypotheses Testing 39 4-5 Hypotheses Testing Results and Conclusions 48 Chapter 5 Discussions and Suggestions 50 5-1 Research Conclusions 50 5-2 Implications 53 5-3 Research Limitations 56 References 58 | |
| dc.language.iso | en | |
| dc.subject | 產品偏好 | zh_TW |
| dc.subject | 調節焦點 | zh_TW |
| dc.subject | 網路口碑 | zh_TW |
| dc.subject | 產品類別 | zh_TW |
| dc.subject | Product Preferences | en |
| dc.subject | Regulatory Focus | en |
| dc.subject | Product Types | en |
| dc.subject | eWOM | en |
| dc.title | 調節焦點與網路口碑對消費者產品偏好之影響 | zh_TW |
| dc.title | The Effect of Regulatory Focus and eWOM on Consumer's Product Preferences | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 98-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 鄭士蘋,廖本哲 | |
| dc.subject.keyword | 調節焦點,網路口碑,產品偏好,產品類別, | zh_TW |
| dc.subject.keyword | Regulatory Focus,eWOM,Product Preferences,Product Types, | en |
| dc.relation.page | 64 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2010-07-22 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 商學研究所 | zh_TW |
| 顯示於系所單位: | 商學研究所 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-99-1.pdf 未授權公開取用 | 1.33 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
