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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 資訊管理學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/36048
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dc.contributor.advisor吳玲玲
dc.contributor.authorJia-Yan Linen
dc.contributor.author林佳燕zh_TW
dc.date.accessioned2021-06-13T07:50:20Z-
dc.date.available2005-07-30
dc.date.copyright2005-07-30
dc.date.issued2005
dc.date.submitted2005-07-25
dc.identifier.citationAguilar, F. J. (1967). Scanning the Business Environment, New York, NY: Macmillan Co.
Akerlof, G. A. (1970). The market for “lemons”: quality uncertainty and the market mechanism, Quarterly Journal of Economics, 84, 488-500
Alba, J., Lynch, J., Weitz, B., Janiszewski, C., Lutz, R., Sawyer, A. & Wood, S. (1997). Interactive Home Shopping: Consumer, Retailer, and Manufacturer Incentives to Participate in Electronic Marketplaces, Journal of Marketing, Vol. 61, 38-53
Ariely, D. (1999). Controlling information flow: on the importance of control in decision-making and the value of information. Working paper, Massachusetts Institute of Technology, Cambridge, MA.
Ariely, D. (2000). Controlling the Information Flow: Effects on Consumers’ Decision-making and Preferences, Journal of Consumer Research, Vol. 27, 233-248
Barley, J. E. & Pearson, S. W. (1983). Development of A Tool for Measuring and Analyzing Computer User Satisfaction, Management Science, Vol. 29, 530-545
Baroudi, J., Olson, M. H. & Ives, B (1986). An Empirical Study of the Impact of User Involvement on System Usage and Information Satisfaction, Communications of ACM, Vol. 29, No. 3, 232-238
Beach, L. (1993). Broadening the Definition of Decision-making: The Role of Prechoice Screening of Options, Psychological Science, Vol. 4, No. 4, 215-220
Benartzi, s. & Thaler, R. H. (2001). How Much is Investor Autonomy Worth?, Working Paper, UCLA
Bettman, J. & Michel, A. Z. (1979). Information Format and Choice Task Effects in Decision-making, Journal of Consumer Research, Vol. 6, No. 2, 144-153
Bettman, J. R. & Jacoby, J (1976). Patterns of Processing in Consumer Information Acquisition, in Advances in Consumer Research, Vol. 3, ed. Anderson, B. B., Provo, UT: Association for Consumer Research, 315-320
Billing R. S. & Marcus, S. (1983). Measures of compensatory and noncompensatory models of decision behavior: process tracing versus policy making, Organizational Behavior and Human Performance, Vol. 31, 331-352
Broadbent, D. E. (1971). Decision and Stress, London: Academic Press
Burger, J. M. (1989). Negative reactions to increases in perceived personal control, Journal of Personality and Social Psychology, Vol. 56, 246-256
Buzzell, R. D. & Gale, B. T. (1987). The PIMS principles : linking strategy to performance, New York : Free Press ; London : Collier Macmillan
Chesney, M., Sevelius, G., Black, G., Ward, M., Swan, G. & Rosenman, R. (1981). Work environment, Type A behavior, and coronary heart desease risk factors, Journal of Occupational Medicine, Vol. 23, 551-555
Choo, C. W., Detlor, B. & Turnbull, D. (1999). Information Seeking On the Web—An Integrated Model of Browsing and Searching, 1999 ASIS Annual Meeting Contributed Paper, 3-16
Cox, D. F., ed. (1967). Risk Taking ad Information Handling in Consumer Behavior, Boston: Graduate School of Business Administration, Harvard University.
Engel, J. F., Blackwell, R. D. & Miniard, P. W. (1995). Consumer Behavior (8th ed), Dryden, Hinsdale, IL.
Evans, G. W., Shapiro, D. H., Lewis, M.A. (1993). Specifying dysfunctional mismatches between different control dimensions, British Journal of Psychology, Vol. 84, 255-273
Galletta, D. F. & Lederer, A. L. (1989). Some Caution on the Measurement of User Information Satisfaction, Decision Sciences, Vol.20, 419-438
Glass, D. C. (1977). Behavior Patterns, Stress, and Coronary Disease, Hillsdale, NJ: Erlbaum
Gorn, G. J. (1982). The effects of Music in Advertising in Choice Behavior: A Classical Conditioning Approach, Journal of Marketing, Vol. 46 (Winter), 94-101
Hansen, F. (1972). Consumer Choice Behavior: A Cognitive Theory, New York: Free Press.
Hoffman, D. L., Novak, T. P. & Peralta, M (1999). Building Consumer Trust Online, Communications of the ACM, Vol. 42, No. 4, 80-85
Hoffman, D. L. & Novak, T. P. (1996). Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations, Journal of Marketing, Vol. 60, 50-68
Hoque, A. Y. & Lohse, G. L. (1999). An Information Search Cost Perspective for Designing Interfaces for Electronic Commerce, Journal of Marketing Research, Vol. 36, 387-394
Huneke, M. E., Cole, C. & Levin, I. P. (2004). How Varying Levels of Knowledge and Motivation Affect Search and Confidence during Consideration and Choice, Marketing Letters, Vol. 15, 67-79
Ives, B., Olson, M. H., Baroudi, J. J (1983). The Measurement of User Information Satisfaction, Communications of the ACM, Vo. 26, No. 10, 785-793
Iyengar, S. S. & Lepper, M. R. (2000). When Choice is Demotivating: Can One Desire Too Much of a Good Thing?, Journal of Personality and Social Psychology, Vol. 76, 995-1006
Jacoby, J., Chestnut, R. W., Weigl, K. C. & Fischer, W. (1976). Prepurchase information acquisition: description of a process methodology, research paradigm, and a pilot investigation, In: Andersson, B. B (ed.), Advances in consumer research, Vol. 3 Chicago, IL: Association for Consumer Research, 321-327
Jacoby, J., Jaccard, J. J., Kuss, A., Troutman, T. U. & Mazursky, D. (1987). New Directions in Behavioral Process Research: Implications for Social Psychology, Journal of Experimental Social Psychology, Vol. 23, March, 146-175
Kirk, R. E. (1995). Experimental Design: Procedures for the Behavioral Sciences. (3rd ed.). Pacific Grove, CA: Brooks/Cole.
Klayman, J. (1984). Analysis of predecisional information search patterns, In: Humphreys, P. C., Svenson, O. & Vari, A. (eds.), Analysing and aiding decision processes. Amsterdam/ Budapest: North-Holland and Akademiai Kiado
Klayman, J. (1988). Cue discovery in probabilistic environments: Uncertainty and experimentation, Journal of Experimental Psychology Learning, Memory, and Cognition, Vol. 14, No. 2, 317-330
Koriat, A., Lichtenstein, S. & Fischhoff, B. (1980). Reasons for Confidence, Journal of Experimental Psychology: Human Learning and Memory, Vol. 6, 107-118
Kreps, D. (1979). A Representation Theorem for Preference for Flexibility, Econometrica, Vol. 47, 565-577
Kuhn, D. & Ho, V. (1980). Self-directed activity and cognitive development, Journal of Applied Developmental Psychology, Vol. 1, No. 2, 119-133
Lanzetta, J. T. (1963). Information Acquisition in Decision-Making, in Information and Social Interaction-Cognitive Determinants, ed. Harvey, O. J., New York: Ronald Press, 239-265
March, J. G. (1978). Bounded rationality, Ambiguity and the engineering of choice, Bell Journal of Economics, Vol. 9, Autumn, 587-608
Maheswaran, D. & Sternthal, B. (1990). The Effects of Knowledge, Motivation, and Type of Message on Ad Processing and Product Judgments, Journal of Consumer Research, Vol. 17, No. 1, 66-73
McAllister, D., Mitchell, T., Beach, L. R. (1998). The Contingency Model for the Selection of Decision Strategies: An Empirical Test of the Effects of Significance, Accountability and Reversibility, In L. R. Beach (ed.), Image Theory: Theoretical and Empirical Foundations, Mahwah, NJ: Lawrence Erlbaum and Associates, 177-189
Meyers-Levy, J. & Peracchio, L. A. (1995). Understanding the Effects of Color: How the Correspondence between Available and Required Resources Affects Attitudes, Journal of Consumer Research, Vol. 22, No. 2, 121-138
Miller, S. M. (1979). Controllability and human stress: Method, evidence and theory, Behavior Research and Therapy, Vol. 17, 287-304
Miller, S. M. (1980). Why having control reduces stress: If I can stop the roller coaster, I don’t want to get off. In J. Garber & M. E. P. Seligman (eds.), Human Helplessness, 71-95, New York: Academic Press
Mills, R. T. & Krantz, D. S. (1979). Information, Choice, and Reactions to Stress: A Field Experiment in a Blood Bank With Laboratory Analogue, Journal of Personality and Social Psychology, Vol. 37, No. 4, 608-620
Montgomery, H. (1984). Decision rules and the search for a dominance structure: towards a process model of decision-making, In: P.C. Humphreys, O. Svenson & A. Vari (eds.), Analysis and aiding decision processes, Amsterdam/Budapest: North-Holland and Akademiai Kiado.
Muylle, S., Moenaert, R., Despontin, M (2004). The conceptualization and empirical validation of web site user satisfaction, Information & Management, Vol. 41, 543-560
Payne, J. W., (1976). Task complexity and contingent processing in decision-making: an information search and protocol analysis, Organizational Behavior and Human Performance, Vol. 16, 366-387
Payne, J. W., Bettman, J. R., Johnson, E. J. (1993). The Adaptive Decision Maker, Cambridge: Cambridge University Press
Petty, R. E., Cacioppo, J. T. & Schumann, D. (1983). Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement, Journal of Consumer Research, Vol. 10, 135-146
Petty, R. E, Harkins, S. G., Williams, K. D. (1980). The Effect of Group Diffusion of Cognitive Effort on Attitudes: An Information-Processing View, Journal of Personality and Social Psychology, Vol. 38 (January), 81-92
Pras, B. & Summers, J. (1975). A comparision of linear and nonlinear evaluation process models, Journal of Marketing Research, Vol. 12, 276-281
Richardson, B. L., Wuillemin, D. B. & Kintosh, G. M. (1981). Can passive touch be better than active touch? A comparison of active and passive tactile maze learning, British Journal of Psychology, Vol. 72, No. 3, 353-362
Rotter, J. B. (1966). Generalized expectancies for internal versus external control of reinforcement, Psychological Monographs, Vol. 80, 1-28
Rowley, J. (2000). Product search in e-shopping: a review and research propositions, Journal of Consumer Marketing, Vol. 17, No.1, 20-35
Schulz, R. (1976). Effects of Control and Predictability on the Physical and Psychological Well-Being of the Institutionalized Aged, Journal of Personality and Social Psychology, Vol. 33, No. 5, 563-573
Shapiro, D. H. & Schwartz, C. E. (1996). Controlling Ourselves, Controlling Our World, American Psychologist, Vol. 51, No. 12, 1213-1230
Shiffrin, R. M. & Schneider, W. (1977). Controlled and automatic human information processing: perceptual learning automatic attending and a general theory, Psychological Review, Vol. 84, March, 127-190
Sieber, J. E. & Lanzetta, J. T. (1964). Conflict and Conceptual Structure as Determinants of Decision-Making Behavior, Journal of Personality, Vol. 32, No. 4, 622-641
Simon, H. A. (1955). A behavioral model of rational choice, Quarterly Journal of Economics, Vol. 69, 99-118
Sundstrom, G. A. (1986). Information Search and Decision-making: The Effects of Information Displays, Process and structure in human decision-making, ed. Montgomery H. & Svenson O. New York : Wiley
Treisman, A. (1969). Strategies and models of selective attention, psychological Review, Vol. 76, No. 3, 282-299
Tversky, A. (1969). Intransitivity of preferences, Psychological Review, Vol. 76, 31-48
Tversky, A. (1972). Elimination of aspects: a theory of choice. Psychological Review, Vol. 79, 281-299
Urbany, J. E., Dickson, P. R. & Wilkie, W. L. (1989). Buyer Uncertainty and Information Search, Journal of Consumer Research, Vol. 16, 208-214
Warr, P. B. (1990). Decision latitude, job demands, and employee well-being, Work and Stress, Vol. 4,285-294
Wathieu, L., Brenner, L., Carmon, Z., Drolet, A., Gourville, J., Muthukrishnan, A. V., Novemsky, N., Ratner, R. K., Wu, J. (2002). Consumer Control and Empowerment: A Primer, Marketing Letters, Vol. 13, No. 3, 297-305
Weitz, B. A. (1978). Relationship between Salesperson Performance and Understanding of Customer Decision-making, Journal of Marketing Research, Vol. 15, No. 4, 501-516
Wu, L. L. & Lin, J. Y. (in press). The quality of consumers’ decision-making in the environment of E-commerce. Psychology & Marketing.
Wright, P. L. (1973). The Cognitive Process Mediating Acceptance of Advertising, Journal of Marketing Research, Vol. 9, No. 1, 53-62
Wright, P. L. & Barbour F. (1997). Phased Decision Strategies: Sequels to an Initial Screening, TIMS Studies in the Management Sciences, Vol. 6, 91-109
Zmud, R. W. (1978). Concepts, theories and techniques—an empirical investigation of the dimensionality of the concept of information, Decision Sciences, Vol. 9, No. 2, 187-195
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/36048-
dc.description.abstractDue to the issues raised by the lemon market problem, the decision-making quality of consumers in e-commerce related research has become an important topic. Since the commercialization of the Internet, e-market practitioners have tried to provide consumers with information that fits their decision-making needs by leveraging this new technological power. One impressive characteristic of the Internet is that it has various degrees of information control. The purpose of this study is to understand this characteristic and how to leverage it to improve consumers’ decision-making quality.
It is hypothesized that the degree of information control should match the degree of motivation to make good decisions in order to improve consumers’ decision-making quality. This is because high motivation consumers have a strong will to search for sufficient information to support their decisions when they are given high information control. Low motivation consumers on the other hand, are unwilling to spend time and effort searching for sufficient information. The research methodology of experiment was used to test the hypothesis and 145 student subjects were recruited to voluntarily participate in the experiment. The empirical results of this study show that high motivation consumers perform better in decision-making when given a high degree of information control, than when they are in the low information control condition. On the other hand, low motivation consumers in the low information control condition perform better than in the high control condition. The results of this research strongly support the match hypothesis of information control.
en
dc.description.provenanceMade available in DSpace on 2021-06-13T07:50:20Z (GMT). No. of bitstreams: 1
ntu-94-R92725045-1.pdf: 1404220 bytes, checksum: 1098fa8bc4ea4ebc4086affc44990cd3 (MD5)
Previous issue date: 2005
en
dc.description.tableofcontents1. Introduction 1
1.1. Background 1
1.2. Objectives 2
2. Literature review 3
2.1. Consumers’ Decision-making Process 3
2.1.1. Information search 4
2.1.2. Information evaluation 6
2.2. Users’ Motivation for Making Good Decisions 7
2.2.1. The effects of motivation on information seeking behavior 7
2.2.2. Motivation manipulation 9
2.3. Information Control 10
2.4. Hypotheses 17
2.4.1. The effects of motivation on information search 17
2.4.2. The effects of information control and motivation on decision-making quality …………………………………………………………………………...17
3. Methodology 19
3.1. Experimental Design 19
3.1.1. Information control 20
3.1.2. Motivation for making good decisions 21
3.1.3. Decision-making quality 24
3.1.4. Information seeking behavior 28
3.2. Subjects 29
3.3. Materials 29
3.3.1. Knowledge test 30
3.3.2. Instructions for manipulating motivation 30
3.3.3. Decision scenario 30
3.3.4. Attribute evaluation form 31
3.3.5. Alternative-by-attribute matrix and the video-taped information seeking process …………………………………………………………………………...32
3.4. Experimental Procedure 32
3.5. Analysis Method 34
4. Result and Discussion 35
4.1. The Evaluation of Attribute Importance 35
4.2. Motivation 38
4.3. Information Seeking Patterns 39
4.3.1. The frequency of total clicks 40
4.3.2. The frequency of random clicks 41
4.3.3. The frequency of continuous click 43
4.3.4. The length of continuous click 44
4.4. Decision-Making Quality 46
4.4.1. The effect of motivation 47
4.4.2. The effect of the interaction between information control and motivation …………………………………………………………………………...47
4.5. Other Findings 51
5. Conclusion, Managerial Implications, Limitations, and Future Work 53
References 56
Appendix A Story in each Scenario 61
Appendix B The Average Evaluation Scores between High, Low Motivation group and Experts in Pilot Test 67
Appendix C Two-Version Instructions for High and Low Motivation 70
Appendix D Transparent Alternative-by-Attribute Matrix with Total Product Quality Scores 73
Appendix E The Web Pages in the Experimental Website 78
Appendix F Expertise Test 96
Appendix G The Error Term and its Degree of Freedom 99
dc.language.isoen
dc.subject資訊搜尋zh_TW
dc.subject資訊控制度zh_TW
dc.subject決策zh_TW
dc.subject動機zh_TW
dc.subjectinformation controlen
dc.subjectDecision makingen
dc.subjectinformation seekingen
dc.subjectmotivationen
dc.title資訊控制度與動機強度對網路消費者決策之影響zh_TW
dc.titleThe Effects of Information Control and Motivation on Consumers’ Decision Making Quality in the Environment of E-Commerceen
dc.typeThesis
dc.date.schoolyear93-2
dc.description.degree碩士
dc.contributor.oralexamcommittee黃明蕙,簡怡雯
dc.subject.keyword決策,資訊控制度,資訊搜尋,動機,zh_TW
dc.subject.keywordDecision making,information control,information seeking,motivation,en
dc.relation.page99
dc.rights.note有償授權
dc.date.accepted2005-07-26
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept資訊管理學研究所zh_TW
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