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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/56297


    Title: 以成本－利益觀點探討極大化程度對消費者產品資訊搜尋行為之影響
    The Effects of Maximization Tendency on Consumers’ Product Information Seeking Behavior: From the Prospective of Cost-Benefit
    Authors: 李文玄
    Lee, Wen Hsuan
    Contributors: 樓永堅
    別蓮蒂
    Lou, Yung Chien
    Bei, Lien Ti
    李文玄
    Lee, Wen Hsuan
    Keywords: 極大化程度
    資訊搜尋之成本¬－利益模式
    主觀時間估計
    過程滿意度
    Maximization tendency
    The Cost-Benefit Model for Information Seeking
    Subjective Estimation of Information Cost and Benefit
    Process Satisfaction
    Date: 2012
    Issue Date: 2012-12-03 11:19:19 (UTC+8)
    Abstract: 本論文之研究目的在以成本與利益觀點，驗證產品資訊搜尋過程，消費者於對搜尋時間成本與產品資訊信心程度之主觀估計，在極大化程度對消費者產品資訊搜尋行為影響所扮演的中介變數角色，藉此瞭解產品資訊搜尋階段，極大化程度對消費者資訊搜尋行為與態度之影響機制。
    極大化程度為一種個人追求最佳選擇程度之人格特質傾向。過去極大化程度在消費者行為領域之相關研究，多聚焦於探討不同極大化程度消費者之選項數量偏好、時間成本投入意願與決策後情感反應之差異，甚少有消費者資訊搜尋過程相關議題之討論。本研究認為，產品資訊搜尋實為消費者整體選擇與決策歷程最重要之階段，經常影響消費決策之最終品質，因此若要真正瞭解極大化程度對消費者選擇行為與態度差異之影響，除從極大化人格特質基本定義做為影響之解釋外，亦須藉由探討極大化程度在產品資訊搜尋過程，對消費者資訊成本與利益認知之影響中，連結出整段消費者選擇行為歷程之影響機制關係。
    本論文以Ratchford (1982) 所提之「資訊搜尋之成本－利益模式 (The Cost-Benefit Model for Information Seeking)」為理論基礎，並將研究分為兩部份，研究一為探討不同極大化程度消費者在產品挑選機制與產品屬性要求標準上的差異，透過受測者對四項產品之屬性重要度評估、對特定屬性規格之期望標準，得知不同極大化程度受測者在產品屬性重視的程度、視為重要的屬性數量，以及產品屬性要求標準上之差異。研究二則採取2 (資訊延遲時間高、低)×2 (產品屬性離散程度高、低) 組間設計實驗，透過本研究設計之虛擬產品購物網站平台，讓受測者執行產品資訊搜尋任務，從中衡量受測者對產品資訊搜尋時間成本與資訊信心之主觀估計，驗證單位搜尋時間估計與單位資訊效用估計在極大化程度對受測者產品資訊搜尋數量、搜尋過程滿意度與產品知覺價值中，扮演之中介變數角色，以瞭解箇中之內在心理機制。
    研究結果顯示，極大化程度與產品屬性重視程度及屬性要求標準呈現顯著正向關係，極大化受測者對產品屬性的重視程度與對產品屬性的要求標準皆較滿足化者高。足見不同極大化程度消費者對選擇之追求目標差異，會具體展現於產品遴選機制與屬性要求標準上。而經過中介變數關係檢定後也發現，極大化程度越高之受測者所估計之搜尋時間與對資訊在決策幫助上的信心越低，因而正向影響了搜尋的產品數量，搜尋時間成本與資訊效用估計亦分別成為受測者對搜尋過程滿意度以及對產品知覺價值之中介變數。
    本論文之研究成果除驗證極大化選擇目標與產品遴選機制及屬性要求標準之關聯性外，亦進一步得知極大化程度影響消費者產品資訊搜尋行為與態度之內在心理機制，成功將系統性之消費者資訊搜尋經濟模式與極大化概念結合，為極大化程度研究領域帶來更深入且具理論基礎之發現。研究成果亦可作為通路或產品廠商思索產品陳列與資訊呈現方式時之參考依據，以降低顧客之主觀成本花費、提升產品資訊帶給顧客決策上的利益，提高顧客對個人整體消費過程之滿意度與所選產品之知覺價值。
    The purpose of this research is to demonstrate whether consumers’ subjective estimations of search time and product information confidence are the mediators mediating the effects of maximization tendency on consumers’ product information seeking behavior and attitude. From the perspective of information cost-benefit, the psychological mechanism will be found from this effect of personality on consumer behavior in this research.
    Maximization tendency was conceptualized in recent ten years to describe individual’s personality that strives for pursuing the best choice. After this concept was developed, most of the researches in this domain focused on discussing in the relationships between maximization orientation and consumers’ choice preferences such as the differences in the amount of alternatives, the aspiration to invest search time, and affective response after making decision. However seldom of them paid their attentions to the stage of product information search to probe the mechanism for the effect of maximization tendency on consumers’ searching behaviors about product information. Since the information seeking is the most important process to influence consumers’ decisions, the current study aims to explore the effects of maximization tendency on the individuals’ subjective estimations of time cost and benefit of product information. Hereby, the whole picture of the causal relationship in consumers’ information searching process would be drawn in this study.
    Referring to the rationales of Ratchford’s cost-benefit model, this research conducts two studies: the first part is to assess the differences in the criteria and attribute standard of consumers’ product selection with differential maximization tendencies. The second part is to conduct a 2 (the delay length of information appearance: low and high)×2 (the the dispersion of information attributes: low and high) between subject design experiments to demonstrate the mediating effect of two variables: consumers’ subjective estimation of time cost and information confidence during searching for information in the relations between maximization tendency and consumers’ information seeking behavior.
    The result shows the relationship between participants’ maximization orientation and their selection criteria as well as attribute demand standard exists. In general, maximizers have more complex choice criteria and higher picking standards than satisficers do when they choose the same products. The psychological mechanism is confirmed to help us understand how maximization tendency affect seeking behaviors and attitudes of product information from consumer’s product information seeking behavior and attitude. Manufacturers and store owners are suggested to apply these findings in the arrangement of alternatives and the display of product attribute information in order to reduce customers’ subjective estimation of time cost and improve their perception on information utility to, eventually, increase their satisfaction with the whole consumption experiences.
    Reference: Adler, Alfred (1956), The Neurotic Disposition. In H. L. Ansbacher and R. R. Ansbacher (Eds.), The Individual Psychology of Alfred Adler, New York: Harper.
    Alba, Joseph W. and Wesley Hutchinson (1987), “Dimensions of Consumer Expertise,” Journal of Consumer Research, Vol. 13 (4), 411-454.
    Antil, John H. (1984), “Conceptualization and Operationalization of Involvement, “ Advance in Consumer Research, Vol. 11, 203-209.
    Ariely, Dan and Dan Zakay (2001), “A Timely Account of the Role of Duration in Decision Making,” Acta Psychologica, Vol. 108 (2), 187-207.
    Avant, Lloyd, Paul J. Lyman, and James R. Antes (1975), “Effect of Stimulus Familiarity upon Judged Visual Duration,” Perception and Psychophysics, Vol. 17 (3), 253-262.
    Avery, Rosemary (1996), “Determinants of Search for Nondurable Goods: An Empirical Assessment of the Economics of Information Theory,” Journal of Consumer Affairs, Vol. 30 (2), 390-420.
    Bailey, James R. (1997), “Need for Cognition and Response Mode in the Active Construction of an InformationDomain,” Journal of Economic Psychology, 18, 69-85.
    ______________, and Sammy W. Pearson (1983), “Development of a Tool for Measuring and Analyzing Computer User Satisfaction,” Management Science, Vol. 29 (5), 530-545.
    Bakos, J. Yannis (1997), “Reducing Buyer Search Costs: Implications for Electronic Marketplaces,” Management Science, Vol. 43 (12), 1676-1695.
    Baron, Reuben M. and David A. Kenny (1986), “The Moderator-Mediator Variable Distiction in Socialin Social Research: Conceptual, Strategic, and Statistical Considerations,” Journal of Personality and Social Psychology, Vol. 51 (6), 1173-1182.
    Bauer, Hans H., Nicola E. Sauer, and Christine Becker (2006), “Investigating the Relationship between Product Involvement and Consumer Decision-Making Styles,” Journal of Consumer Behaviour, Vol. 5 (4), 342-354.
    Beatty, Sharon E. and Scott M. Smith (1987), “External Search Effort: An Investigation across Several Product Categories,” Journal of Consumer Research,Vol. 14 (1), 83-95.
    Bennett, Peter D. and Gilbert D. Harrell (1975), “The Role of Confidence in Understanding and Predicting Buyers’ Attitudes and Purchase Intentions,” Journal of Consumer Research, Vol. 2 (2), 110-117.
    Bettman, James R. (1970), “Information Processing Models of Consumer Behavior,” Journal of Marketing Research, Vol. 7 (3), 370-376.
    ______________, (1971), “The Structure of Consumer Choice Processes,” Journal of Consumer Research, Vol. 8 (4), 465-471.
    ______________, Mary Frances Luce, and John W. Payne (1998), “Constructive Consumer Choice Processes,” Journal of Consumer Research, Vol. 25 (3), 187-217.
    Biswas, Dipayan (2004), “Economics of Information in the Web Economy Towards a New Theory,” Journal of Business Research, Vol. 57 (7), 724-733.
    _____________, and Bidisha Burman (2009), “The Effects of Product Digitalization and Price Dispersion on Search Intentions in Offline Versus Online Settings: The Mediating Effects of Perceived Risks,” Journal of Product and Brand Management, Vol. 18 (7), 477-486.
    Block, Richard A. (1978), “Remembered Duration: Effects of Event and Sequence Complexity,” Perception and Cognition, Vol. 6 (3), 320-326.
    Cacioppo, John T. and Richard E. Petty (1982), “The Need for Cognition,” Journal of Personality and Social Psychology, Vol. 42 (1), 116-131.
    _______________________________, and Chuan Feng Kao (1984), “The Efficient Assessment of Need for Cognition,” Journal of Personality Assessment, Vol. 48 (3), 306-307.
    Chernev, Alexander (2003), “When More is Less and Less is More: The Impact of Ideal Point Availability and Assortment in Consumer Choice,” Journal of Consumer Research, Vol. 30 (2), 170-183.
    Chowdhury, Tilottama G., S. Ratneshwar, and Praggyan Mohanty (2009), “The Time-Harried Shopper: Exploring the Differences between Maximizers and Satisficers,” Marketing Letters, Vol. 20 (2), 155-167.
    Cohen, Arthur R. (1957), “Need for Cognition and Order of Communication as Determinants of OpinionChange.” In C. I. Hovland (ed.), The Order of Presentation in Persuasion. New Heaven, CT: Yale UniversityPress.
    Cohen, Arthur R., Ezra Stotland, and Donald M. Wolfe (1955), “An Experimental Investigation of Need for Cognition,” Journal of Abnormal and Social Psychology, Vol. 51 (2), 291-294.
    Conchar, Margy P., George M. Zinkhan, Cara Peters, and Sergio Olavarrieta (2004), “An Integrated Framework for the Conceptualization of Consumers’ Perceived-Risk Processing,” Journal of the Academy of Marketing Science, Vol. 32 (4), 418-436.
    Cox, Donald F., ed. (1967), Risk Taking and Information Handling in Consumer Behavior, Cambridge, MA: Harvard University Press.
    Dar-Nimrod, Ilan, Catherine D. Rawn, Darrin R. Lehman, and Barry Schwartz (2009), “The Maximization Paradox: The Costs of Seeking Alternatives,” Personality and Individual Differences, Vol. 46 (5-6), 631-635.
    Das, Samar, Raj Echambadi, Michael McCardle, and Michael Luckett (2003), “The Effect of Interpersonal Trust, Need for Cognition, and Social Loneliness on Shopping, Information Seeking, and Surfing on the Web,” Marketing Letters, Vol. 4 (3), 185-202.
    Degeratu, Alexandru M., Arvind Rangaswamy, and Jianan Wu (2000), “Consumer Choice Behavior in Online and Traditional Supermarkets: The Effects of Brand Name, Price, and Other Search Attributes,” International Journal of Research in Marketing, Vol. 17 (1), 55-78.
    Deshpande, Rohit and Gerald Zaltman (1984), “A Comparison of Factors Affecting Researcher and Manager Perceptions of Market Research Use,” Journal of Marketing Research, Vol. 21 (1), 32-38.
    Diab, Dalia L., Michael A. Gillespie, and Scott Highhouse (2008), “Are Maximizers Really Unhappy? The Measurement of Maximizing Tendency,” Judgment and Decision Making, Vol. 3 (5), 364-370.
    Dodds, William B., Kent B. Monroe, and Dhruv Grewal (1991), “Effects of Price, Brand, and Store Information on Buyer’s Product Evaluations,” Journal of Marketing Research, Vol. 28 (3), 307-319.
    Dowling, Grahame R. and Richard Staelin (1994), “A Model of Perceived Risk and Intended Risk-Handling Activity,” Journal of Consumer Research, Vol. 21 (1), 119-134.
    Duncan, Calvin P. and Richard W. Olshavsky (1982), “External Search: The Role of Consumer Beliefs,” Journal of Marketing Research, Vol. 19 (1), 32-43.
    Fink, Andreas and Aljoscha C. Neubauer (2001), “Speed of Information Processing, Psychometric Intelligence and Time Estimation as an Index of Cognitive Load,” Personality and Individual Differences, Vol. 30 (6), 1009-1021.
    _______________________ (2005), “Individual Differences in Time Estimation Related to Cognitive Ability, Speed of Information Processing and Working Memory,” Intelligence, Vol. 33 (1), 5-26.
    Frankenhauser M. (1959), Estimation of Time, Stockholm: Almquist and Wiksell.
    Hafstrom, Hjeannel, Jung Sook Chae, and Young Sook Chung (1992), “Consumer Decision-Making Styles: Comparison between United States and Korean Young Consumers,” Journal of Consumer Affairs, Vol. 26 (1), 146-158.
    Hair, Joseph F., Bill Black, Barry Babin, Rolph E. Anderson, and Ronald L. Tatham (2005), Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Prentice-Hall, Inc.
    Harkins, Stephen G. and Richard E. Petty (1987), “Information Utility and Multiple Source Effect,” Journal of Personality and Social Psychology, Vol. 52(2), 260-268.
    Hewitt, Paul L. and Gordon L. Flett (1991), “Perfectionism in the Seld and Social Contexts: Conceptualization, Assessment, and Association with Psychopathology,” Journal of Personality and Social Psychology, Vol. 60 (3), 456-470.
    Hofacker, Charles F. and Jamie Murphy (2009), “Consumer Web Page Search, Clicking Behavior and Reaction Time,” Journal of Research in Interactive Marketing, Vol. 3 (2), 88-96.
    Hollender, Marc H. (1965), “Perfectionism,” Comprehensive Psychiatry, Vol. 6 (2), 94-103.
    Howard, John A. (1989), Consumer Behavior in Marketing Strategy, Prentice Hall, Englewood Cliffs, NJ.
    _____________. and Jagdish N. Sheth (1969), A Theory of Buyer Behavior, New York: Wiley.
    Hui, Michael K., Laurette Dube, and Jean-Charles Chebat (1997), “The Impact of Music on Consumers’Reactions to Waiting for Services,” Journal of Retailing, Vol. 73 (1), 87-104.
    Hung, Peng, Nicholas H. Lurie, and Sabyasachi Mitra (2009), “Searching for Experience on the Web: An Empirical Examination of Consumer Behavior for Search and Experience Goods,” Journal of Marketing, Vol. 73 (2), 55-69.
    Hwitt, Paul L. and Gordon L. Flett (1991), “ Perfectionism in the Self and Social Contexts: Conceptualization, Assessment, and Association with Psychopathology,” Journal of Personality and Social Psychology, Vol. 60 (30), 456-470.
    Iyengar, Sheena S., Rachael E. Wells, and Barry Schwartz (2006), “Doing Better but Feeling Worse: Looking for the Best Job Undermines Satisfaction,” Psychology Science, Vol. 17 (2), 143-150.
    _______________ and Mark R. Lepper (2000), “When Choice is Demotivating: Can One Desire Too Much of a Good Thing?,” Journal of Personality and Social Psychology, Vol. 79 (6), 995-1006.
    Johnson, Michael D., Eugene W. Anderson, and Claes Fornell (1995), “Rational and Adaptive Performance Expectation in a Customer Satisfaction,” Journal of Consumer Research, Vol. 21 (4), 695-707.
    Kahneman, Daniel and Amos Tversky (1979), “Prospect theory: An Analysis of Decision under Risk,” Econometrica, Vol. 47 (2), 263-291.
    Kim, Wonsuk Jerry and Karen Whitehill King (2009), “Product Category Effects on External Search for Prescription and Nonprescription Drugs,” Journal of Advertising, Vol. 38 (1), 5-19.
    Laroche, Michel, Chankon Kim, and Lianxi Zhou (1996), “Brand Familiarity and Confidence as Determinants of Purchase Intention: An Empirical Test in a Multiple Brand Context,” Journal of Business Research, Vol. 37, 115-120.
    Larsen, Jeff T. and Amie R. McKibban (2008), “Is Happiness Having What You Want, Wanting What You Have, or Both?,” Psychological Science, Vol. 19 (4), 371-377.
    Lee, Byung-Kwan and Wei-Na Lee (2011), “The Impact of Product Knowledge on Consumer Product Memory and Evaluation in the Competitive Ad Context: The Item-Specific-Relational Perspective,” Psychology and Marketing, Vol. 28 (4), 360-387.
    Lyman, Paul J. and Lloyd L. Avant (1975), “Stimulus Familiarity Modifies Perceived Duration in Prerecognition Visual Processing,” Journal of Experimental Psychology, Vol. 1 (3), 205-213.
    McQuarrie, Edward F. and J. Michael Munson (1992), “A revised product involvement inventory: Improved usability and validity,” Advances in Consumer Research, Vol. 19, 108-115, eds. John Sherry and Brian Sternthal, Provo, UT: Association for Consumer Research, Pages: 108-115.
    Moenaert, Rudy K. and William E. Souder (1996), “Context and Antecedents of Information Utility at R&D/Marketing Interface,” Management Science, Vol. 42 (11), 1592-1610.
    Moorthy, Sridhar, Brian T. Ratchford, and Debabrata Talukdar (1997), “Consumer Information Search Revisited: Theory and Empirical Analysis,” Journal of Consumer Research, Vol. 23 (4), 263-277.
    Narasimhan, Srinivasan and Brain T. Ratchford (1991), “An Empirical Test of a Model of External Search for Automobiles,” Journal of Consumer Research, Vol. 18 (2), 233-242.
    Oliver, Richard L. (1981), “Measurement and Evaluation of Satisfaction Process in Retail Setting,” Journal of Retailing, Vol. 57 (3), 25-48.
    Ornstein, Robert E. (1969), On the Experience of Time, Middlesex, England: Penguin.
    Parker, Andrew M., Wändi Bruine de Bruin, and Baruch Fishhoff (2007), “Maximizers versus Satisficers: Decision-Making Styles, Competence, and Outcomes,” Judgment and Decision Making, Vol. 2 (6), 342-350.
    Payne, John W. (1982), “Contingent Decision Behavior,” Psychological Bulletin, Vol. 92 (2), 382-402.
    ____________, James R. Bettman, and Luce Mry F. (1996), “When Time Is Money: Decision Behavior under Opportunity-Cost Time Pressure,” Organizational Behavior and Human Decision Processes, Vol. 66 (2), 131-152.
    Peter, J. Paul and Lawrence X. Tarpey, Sr. (1975), “A Comparative Analysis of Three Consumer Decision Strategies,” Journal of Consumer Research, Vol. 2 (1), 29-37.
    Petty, Richard E., John T. Cacioppo, and David Schuman (1983), “Central and Periphral Routes to Advertising Effectiveness: The Moderating Role of Involvement,” Journal of Consumer Research, Vol. 10 (2), 135-146.
    ____________________________, and Rachel Goldman (1981), “Personal Involvement as a Determinant of Argument-Based Persuasion,” Journal of Personality and Social Psychology, Vol. 41 (5), 847-855.
    Polman, Evan (2009), “Why Are Maximizers Less Happy Than Satisficers? Because They Maximize Positive and Negative Outcomes,” Journal of Behavioral Decision Making, Vol. 23 (2), 179-190.
    Priestly, J. B. (1968), Man and Time, New York: Dell.
    Ratchford, Brain T. (1982), “Cost-Benefit Models for Explaining Consumer Choice and Information Seeking Behavior,” Management Science, Vol. 28 (2), 197-212.
    Reutskaja, Elena and Robin M. Hogarth (2009), “Satisfaction in Choice as a Function of the Number of Alternatives: When Goods Satiate,” Psychology and Marketing, Vol. 26 (3), 197-203.
    Schaninger, Charles M. and Donald Sciglimpaglia (1981), “The Influence of Cognitive Personality Traits and Demographics on Consumer Information Acquisition,” Journal of Consumer Research, Vol. 8 (2), 208-216.
    Scheibehenne, Benjamin, Rainer Greifeneder, and Peter M. Todd (2009), “What Moderates the Too-Much-Choice Effect?” Psychology and Marketing, Vol. 26 (3), 229-253.
    ____________________________________________________ (2010), “Can There Ever Be Too Many Options? A Meta-Analytic Review of Choice Overload,” Journal of Consumer Research, Vol. 37 (2), 409-425.
    Schmidt, Jeffrey B. and Richard A. Spreng (1996), “A Proposed Model of External Consumer Information Search,” Journal of the Academy of Marketing Science,Vol. 24 (3), 246-256.
    Schwartz, Barry (2000), “Self-Determination: The Tyranny ofFreedom,” American Psychologist, Vol. 55 (1), 79-88.
    _____________ (2004), The Paradox of Choice－Why More is Less, New York: Harper Collins.
    _____________, Andrew Ward, John Monterosso, Sonja Lyubomirsky, Katherine White, and Darrin R. Leman (2002), “Maximizing Versus Satisficing: Happiness Is a Matter of Choice,” Journal of Personality and Social Psychology, Vol. 83 (5), 1178-1197.
    Sen, Ravi, Ruth C. King, and Michael J. Shaw (2006), “Buyers` Choice of Online Search Strategy and Its Managerial Implications,” Journal of Management Information Systems, Vol. 23 (1), 211-238.
    Shim, Soyeon, Mary Ann Eastlick, Sherry L. Lotz, Patricia Warrington (2001), “An Online Prepurchase Intentions Model: The Role of Intention to Search,” Journal of Retailing, Vol. 77 (3), 397-416.
    Shiu, Edward M. K., Gianfranco Walsh, Louise M. Hassan, and Deirdre Shaw (2011), “Consumer Uncertainty, Revisited,” Psychology and Marketing, Vol. 28 (6), 584-607.
    Simon, Herbert A. (1955), “A behavioral model of rational choice,” Journal of Economics, Vol. 59, 99-118.
    ───── (1956), “Rational choice and the structure of the environment,” Psychological Review, Vol. 63, 129-138.
    ───── (1957), “Models of man, social and rational: Mathematical essays on rational human behavior”, in Mathematical Essays on Rational Human Behavior in a Social Setting, New York: Wiley.
    Stigler, George J. (1961), “The Economics of Information,” Journal of Political Economy, Vol. 69 (3), 213-235.
    Sweeney, Jillian C. and Geoffrey N. Soutar (2001), “Consumer Perceived Value: The Development of a Multiple Item Scale,” Journal of Retailing, Vol. 77 (2), 203-220.
    Tse, David K. and Peter C. Wilton (1988), “Models of Consumer Satisfaction: An Extension,” Journal of Marketing Research, Vol. 25 (2), 204-212.
    Tversky, Amos and Daniel Kahneman (1981), “The Framing of Decision and the Psychology of Choice,” Science, Vol. 211 (4481), 453-458.
    Urbany, Joel E. (1986), “An Experimental Examination of the Economics of Information,” Journal of Consumer Research, Vol. 13, 257-271.
    ____________, Peter R. Dickson, and William L. Wilkie (1989), “Buyer Uncertainty and Information Search,” Journal of Consumer Research, Vol. 16 (2), 208-215.
    von Neumann, John and Oskar Morgenstern (1944), “Theory of games and economic behavior,” Princeton, NJ: Princeton University Press.
    Westbrook, Robert A. and Michael D. Reilly (1983), “Value-Percept Disparity: An Alternative to the Disconfirmation of Expectations Theoryof Consumer Satisfaction,” in Advances in Consumer Research, Vol. 10, eds. Richard P. Bagozzi and Alice M. Tybout, Ann Abor : Association for Consumer Research, Pages: 256-261.
    Xu, Yunjie and Hee-Woong Kim (2008), “Order Effect and Vendor Inspection in Online Comparison Shopping,” Journal of Retailing, Vol. 84 (4), 477-486.
    Yi, Youjae (1990), “A Critical Review of Consumer Satisfaction,” in Review of Marketing. Valarie A. Zeithaml, ed. Chicago: American Marketing Association. 68-123
    Zaichkowsky, Judith L. (1985), “Measuring the Involvement Construct,” Journal of Consumer Research, Vol. 12 (3), 341-352.
    Zakay, Dan, Devora Nitzan, and Joseph Glicksohn (1983), “The Influence of Task Difficulty and External Tempo on Subjective Time Estimation,” Perception and Psychophysics, Vol. 34 (5), 451-456.
    Zeithaml, A. Valarie (1988), “Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence,”Journal of Marketing, Vol. 52 (3), 2-22.
    Zmud, Robert W. (1978), “An Empirical Investigation of the Dimensionality of the Concept of Information,” Decision Sciences, Vol. 9 (2), 187-195.
    Description: 博士
    國立政治大學
    企業管理研究所
    95355515
    101
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0095355515
    Data Type: thesis
    Appears in Collections:[Department of Business Administation] Theses

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