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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/36756


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/36756


    Title: 數位產品網路行銷之顧客資訊滿意度衡量模式
    The Measurement Model of Customer Information Satisfaction for Internet Marketing of Digital Products
    Authors: 王怡舜
    Yi-Shun Wang
    Contributors: 湯宗益
    Tzung-I Tang
    王怡舜
    Yi-Shun Wang
    Keywords: 網路行銷
    數位產品與服務
    網站顧客資訊滿意度
    使用者資訊滿意度
    使用者自建系統滿意度
    Internet marketing
    Digital products and services
    Web customer information satisfaction
    User information satisfaction
    End-user computing satisfaction
    Date: 2001
    Issue Date: 2009-09-18 19:31:14 (UTC+8)
    Abstract: 資訊管理文獻中，對於電子商務環境的顧客資訊滿意度衡量模式甚少探討。目前文獻中的使用者資訊滿意度(UIS)，以及使用者自建系統滿意度(EUCS)兩種衡量模式，主要是適用於「傳統資料處理環境」或是「使用者自建系統環境」。因此，本研究將發展一個適用於「數位產品網路行銷環境」的顧客資訊滿意度衡量模式。首先，本研究探討了網站顧客資訊滿意度(WCIS)的概念性定義，作者從文獻中歸納出初步的顧客資訊滿意度衡量構面與問項，並透過訪談、焦點群體、先導研究等方法來加以補充與調整。再者，本研究也說明了量表問項產生過程、資料蒐集方法、以及純化測量的步驟。作者並運用兩個配額樣本來進行探索性因素分析以及驗證性因素分析，其中嚴謹地檢驗了顧客資訊滿意度衡量模式的信度、內容效度、效標關聯效度、收歛效度、區別效度，以及法理效度。最後，本研究探討了顧客資訊滿意度衡量模式在實務界與學術界的應用方式，並討論了本研究所面臨的若干限制，同時提出一些未來可以進一步研究的方向。作者希望本研究所提出的顧客資訊滿意度衡量模式，未來可以被其他研究人員用來發展網路行銷或電子商務理論。

    CHAPTER 1. INTRODUCTION….………………………………………….….…1
    CHAPTER 2. DOMAIN OF WEB CUSTOMER INFORMATION
    SATISFACTION ……………………………………………………………………..4
    2.1 The Focus of This Study…………………………………………….…..…….4
    2.2 The Impact of E-commerce on the Business Process of DPSPs….……….…..5
    2.3 Instruments for Measuring User Information Satisfaction (UIS) and
    End-User Computing Satisfaction (EUCS)…….……………..……………….6
    2.4 The Conceptual Definition of Web Customer Information Satisfaction ….…..9
    2.5 The Theoretical Framework for Assessing WCIS……………………….…..12
    2.6 Service Quality versus Customer Satisfaction………………………….……14
    CHAPTER 3. GENERATION OF SCALE ITEMS……….……………………...16
    3.1 Generation of Initial Item List……………………………………………...16
    3.2 Pilot Study…………………………………………………………………....17
    CHAPTER 4. SCALE PURIFICATION AND EXPLORATORY
    FACTOR ANALYSIS…...…………………………………………………………..19
    4.1 Sample and Procedure……………………………………………………….19
    4.2 Item Analysis and Reliability Estimates……………………………………..20
    4.3 Identifying the Factor Structure of the WCIS Construct…..…………………21
    4.4 Reliability…………………………………………………………………….23
    4.5 Content Validity………………………………………………………………25
    4.6 Criterion-Related Validity……………………………………………………25
    4.7 Reliability and Criterion-Related Validity by Type of Web Site……………..26
    4.8 Discriminant and Convergent Validity……………………………………….27
    4.9 Nomological Validity………………………………………………………...28
    CHAPTER 5. THE CONFIRMATORY FACTOR ANALYSIS OF THE
    WCIS INSTRUMENT………………………………………………...……………30
    5.1 Need for Confirmatory Analysis………………………………………….….30
    5.2 Methods……………………………………………………………………....33
    5.3 Data Collection for Confirmatory Analysis………………………………….41
    5.4 Alternative Models…………………………………………………..……….43
    5.5 Criteria for Comparing Model-Data Fit…..………………………………….46
    5.6 Checks for Statistical Assumptions………………………………………….49
    5.7 Estimation Method…………………………………………………………...50
    5.8 Results………………………………………………………………………..50
    5.9 Assessment of Reliability and Validity………………………………………55
    5.10 The Measurement of Service Quality……………………………………….60
    5.10.1 The Development of SERVQUAL and IS-adapted SERVQUAL………61
    5.10.2 Refinement of an EC-adapted SERVQUAL…………………………...66
    5.11 Research Findings for Confirmatory Analysis……………………………...72
    5.11.1 Findings for Question One……………………………………………72
    5.11.1 Findings for Question Two……………………………………………74
    5.12 Comparison of Underlying Dimensions Between UIS, EUCS
    and WCIS…………………………………………………………………..76
    CHAPTER 6. IMPLICATIONS………….………………………………………..77
    6.1 Implications for Practice……………………………………………….....….77
    6.2 Implications for Research.……………………………………………………79
    CHAPTER 7. CONCLUSION……..………………………………………………81
    REFERENCE……………...………………………………………………………..83
    GLOSSARY…………………………………………………………………………95
    APPENDIX A Measurement of Web Customer Information Satisfaction –
    Forty-Three Items Used in the Pilot Study…………………………………………...97
    APPENDIX B Observed Correlation Matrix of WCIS Instrument in
    Confirmatory Analysis..……………………………………………………………....99
    APPENDIX C Observed Correlation Matrix of Initial EC-SERVQUAL
    Instrument…………….……………………...………………………………………100
    APPENDIX D The LISREL Program for WCIS Model 1……..…………………...101
    APPENDIX E The LISREL Program for WCIS Model 2.……….………………...102
    APPENDIX F The LISREL Program for WCIS Model 3...………………………...104
    APPENDIX G The LISREL Program for WCIS Model 4..………………………...105
    APPENDIX H The LISREL Program for EC-SERVQUAL Model 1.…………….106
    APPENDIX I The LISREL Program for EC-SERVQUAL Model 2.…………….107
    APPENDIX J The LISREL Program for The Structural Model Between
    WCIS and EC-SERVQUAL Measures………………………………..………………...108
    ABOUT THE AUTHOR…………………………………………………………...110
    MIS literature has not addressed the measurement of web customer information satisfaction (WCIS) in electronic commerce. Current models for measuring user information satisfaction (UIS) and end-user computing satisfaction (EUCS) are perceived as inapplicable as they are targeted primarily towards either conventional data processing or the end-user computing environment. This study develops a comprehensive model and instrument for measuring customer information satisfaction for web sites that market digital products and services. This paper first discusses the concepts and definitions of WCIS construct from the literature. The researcher summarizes his findings in a theoretical framework. Based on this framework, the researcher develops a measurement instrument to measure web customer information satisfaction. The procedures used in generating items, collecting data, and purifying a multiple-item scale are described. The researcher has carefully examined evidences of reliability, content validity, criterion-related validity, convergent validity, discriminant validity, and nomological validity by analyzing data from two quota samples. The potential applications for practitioners and researchers are then explored. Finally, the researcher concludes this study by discussing limitations and potential future research. The researcher hopes that the proposed WCIS instrument with good reliability and validity can be used by other researchers to develop and test Internet marketing and EC theories in the future.
    Reference: Allen, M. J. and Yen, W. M. (1979), Introduction to Measurement Theory, Brooks-Cole, Monterey, CA.
    Anderson, J. C. (1987), “An Approach for Comfirmatory Measurement and Structural Equation Modeling of Organizational Properties,” Management Science, 33: 4, pp.525-541.
    Anderson, J. C. and Gerbing, D. W. (1988), “Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach,” Psychological Bulletin, 103: 3, pp.411-423.
    Andreasen, A. R. and Best, A. (1977), “Consumers Complain—Does Business Listen?,” Harvard Business Review (July-August), pp.93-101.
    Ash, S. B. (1978), “A Comprehensive Study of Consumer Satisfaction with Durable Products,” in Advances in Consumer Research, 5, H. K. Hunt, ed., Ann Arbor: Michigan: Association for Consumer Research, pp.254-262.
    Babakus, E. and Boller, G. W. (1992), “An Empirical Assessment of the SERVQUAL Scale,” Journal of Business Research, 24: 3, pp.253-268.
    Bagozzi, R. P. (1980), Causal Modeling in Marketing, Wiley & Sons, New York, NY.
    Bagozzi, R. P. and Phillips, L. W. (1982), “Representing and Testing Organizational Theories: A Holistic Construal,” Administrative Science Quarterly, 27: 3, pp.459-489.
    Bagozzi, R. P., Yi, Y., and Phillips, L. W. (1991), “Assessing Construct Validity in Organizational Research,” Administrative Science Quarterly, 36: 3, pp.421-458.
    Bailey, J. E. and Pearson, S. W. (1983), “Development of A Tool for Measuring and Analyzing Computer User Satisfaction,” Management Science, 29: 5, pp. 530-545.
    Baroudi, J. J. and Orlikowski, W. J. (1988), “A Short-form Measure of User Information Satisfaction,” Journal of Management Information Systems, 4: 4, pp.44-59.
    Kettinger, W. J., Lee, C. C., and Lee, S. (1995), “Global Measures of Information Service Quality: A Cross-National Study,” Decision Sciences, 26: 5, pp.559-588.
    Klenke, K. (1992), “Construct and Critique of User Satisfaction and User Involvement Instructions,” INFOR, 3: 4, pp.325-348.
    LaBarbera, P. A. and Mazursky, D. (1983), “A Longitudinal Assessment of Consumer Satisfaction/Dissatisfaction: The Dynamic Nature of the Cognitive Process,” Journal of Marketing Research, 20(November), 393-404.
    Lele, M. (1987), The Customer is Key: Gaining an Unbeatable Advantage Through Customer Satisfaction, Wiley.
    Lord, F. M. (1958), “The Utilization of Unreliable Difference Scores,” Journal of Educational Psychology, 49: 3, pp.150-152.
    MacCallum, R. (1986), “Specification Searches in Covariance Structure Modeling,” Psychological Bulletin, 100: 1, pp.107-120.
    Mackenzie, K. D. and House, R. (1979), “Paradigm Development in the Social Sciences,” in Research in Organizations: Issues and Controversies, R. T. Mowday and R. M. Steers(eds.), Goodyear Publishing, Santa Monica, CA, pp.22-38.
    Mano, H. and Oliver, R. L. (1993), “Assessing the Dimensionality and Structure of the Consumption Experience: Evaluation, Feeling, and Satisfaction,” Journal of Consumer Research, 20 (December), pp. 451-466.
    Marsh, H. W. and Hocevar, D. (1985), “Application of Confirmatory Factor Analysis to the Study of Self-Concept: First- and Higher-Order Factor Models and Their Invariance Across Groups,” Psychological Bulletin, 97: 3, pp.562-582.
    Marsh, H. W. and Hocevar, D. (1988), “A New More Powerful Approach to Multitrait-Multimethod Analysis: Application of Second-Order Confirmatory Analysis,” Journal of Applied Psychology, 73: 1, pp.107-117.
    Peter, J. P., Churchill, G. A., and Brown, T. J. (1993), “Caution in the Use of Difference Scores in Consumer Research,” Journal of Consumer Research, 19: 1, pp. 655-662.
    McGrath, J. “Toward a Theory of Method for Research on Organizations,” in Research in Organizations: Issues and Controversies, R. T. Mowday and R. M. Steers(eds.), Goodyear Publishing, Santa Monica, CA, pp.4-21.
    McHaney, R., Hightower, R., and White, D. (1999), “EUCS Test-Retest Reliability in Representational Model Decision Support Systems,” Information & Management, 36: 2, pp109-119.
    Mulaik, S. A., James, L. R., Van Altine, J., Bennett, N., Lind, S., and Stilwell, C. D. (1989), “Evaluation of Goodness-of-Fit Indices for Structural Equation Models,” Psychological Bulletin, 105, pp.430-445.
    Nunnally, J. C. (1978), Psychometric Theory, 2nd ed., McGraw-Hill, N.Y.
    Oliver, R. L. (1980), “A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions,” Journal of Markets Research, 17 (November), pp.460-469.
    Oliver, R. L. (1981), ”Measurement and Evaluation of Satisfaction Processes in Retailing Setting,” Journal of Retailing, 57, pp.25-48.
    Oliver, R. L. (1989), “Processing of the Satisfaction Response in Consumption: A Suggested Framework and Research Propositions,” Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 2, pp.1-16.
    Oliver, R. L. (1993), ”Cognitive, Affective, and Attitude Bases of the Satisfaction Response,” Journal of Consumer Research, 20 (December), pp.418-430.
    Oliver, R. L. and DeSarbo, W. S. (1988), “Response Determinants in Satisfaction Judgements,” Journal of Consumer Research, 14 (March), pp.495-507.
    Palvia, P. C. (1996), “A Model and Instrument for Measuring Small Business User Satisfaction with Information Technology,” Information & Management, 31, pp. 151-163.
    Peterson, R. A. and Wilson, W. R. (1992), “Measuring Customer Satisfaction: Fact and Artifact,” Journal of the Academy of Marketing Science, 20 (Winter), pp.61-71.
    Parasuraman, A., Zeithaml V. A., Berry, L. L. (1991), “Refinement and Reassessment of the SERVQUAL Scale,” Journal of Retailing, 67: 4, pp. 420-450.
    Parasuraman, A., Zeithaml V. A., Berry, L. L. (1993), “Research Note: More on Improving Quality Measurement,” Journal of Retailing, 69: 1, pp.140-147.
    Parasuraman, A., Zeithaml, V. A., Berry, L. L. (1985), “A Conceptual Model of Service Quality and Its Implications for Future Research,” Journal of Marketing, 49: 4, pp.41-50.
    Parasuraman, A., Zeithaml, V. A., Berry, L. L. (1988), “SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality,” Journal of Retailing, 64: 1, pp.12-40.
    Parasuraman, A., Zeithaml, V. A., Berry, L. L. (1994a), “Alternative Scales for Measuring Service Quality: A Comparative Assessment Based on Psychometric and Diagnostic Criteria,” Journal of Retailing, 70: 3, pp.201-230.
    Parasuraman, A., Zeithaml, V. A., Berry, L. L. (1994b), “Reassessment of Expectations as a Comparison Standard in Measuring Service Quality: Implications for Future Research,” Journal of Marketing, 58: 1, pp.111-124.
    Pitt, L. F., Watson, R. T., and Kavan, C. B. (1995), “Service Quality: A Measure of Information Systems Effectiveness,” MIS Quarterly, 19: 2, pp.173-187.
    Pitt, L. F., Watson, R. T., and Kavan, C. B. (1997), “Measuring Information Systems Service Quality: Concerns for a Complete Canvas,” MIS Quarterly, 21: 2, pp. 209-222.
    Prakash, V. and Lounsbury, J. W. (1983), “A Reliability Problem in the Measurement of Disconfirmation of Expectations,” In R. P. Bagozzi and A. M. Tybout (Eds.), Advance in Consumer Research (Vol. 10). Ann Arbor, MI: Association for Consumer Research, pp.244-249.
    Price, J. L. and Mueller, C. W. (1986), Handbook of Organizational Measurement, Pitman Publishing Inc., Marshfield, MA.
    Segars, A. H. and Grover, V. (1993), “Re-examining Ease of Use and Usefulness: A Confirmatory Factor Analysis,” MIS Quarterly, 17: 4, pp.517-527.
    Segars, A. H. and Grover, V. (1998), “Strategic Information Systems Planning Success: An Investigation of the Construct and Its Measurement,” MIS Quarterly, 22: 2, pp.139-163.
    Spreng, R. A., MacKenzie, S. B., and Olshavsky, R. W. (1996), “A Reexamination of the Determinants of Customer Satisfaction,” Journal of Marketing, 60 (July), pp.15-32.
    Straub, D. W. (1989), “Validating Instruments in MIS Research,” MIS Quarterly, 13: 2, pp.147-169.
    Bearden, W. O. and Teel, J. E. (1983), “Selected Determinants of Consumer Satisfaction and Complaint Reports,” Journal of Marketing Research, 20 (February), pp. 21-28.
    Tanaka, J. S. and Huba, G. J. (1984), “Confirmatory Hierarchical Factor Analysis of Psychological Distress Measures,” Journal of Personality and Social Psychology, 46: 3, pp.621-635.
    Tax, S. S., Brown, S. W., and Chandrashekaran, M. (1998), “Customer Evaluations of Service Complaint Experiences: Implication for Relationship Marketing,” Journal of Marketing, 62 (April), pp.60-76.
    Teas, R. K. (1993), “Expectations, Performance Evaluation and Consumers’ Perceptions of Quality,” Journal of Marketing, 57: 4, pp.18-34.
    Teas, R. K. (1994), “Expectations as a Comparison Standard in Measuring Service Quality: An Assessment of a Reassessment,” Journal of Marketing, 58: 1, pp.132-139.
    Torkzadeh, G. and Doll, W. J. (1991), “Test-Retest Reliability of the End-User Computing Satisfaction Instrument,” Decision Sciences, 22: 1, pp.26-37.
    Van Dyke, T. P., Kappelman, L. A., and Prybutok, V. R. (1997), “Measuring Information Systems Service Quality: Concerns on the Use of the SERVQUAL Questionnaire,” MIS Quarterly, 21: 2, pp.195-208.
    Van Dyke, T. P., Prybutok, V. R., Kappelman, L. A. (1999), “Cautions on the Use of the SERVQUAL Measure to Assess the Quality of Information Systems Services,” Decision Sciences, 30: 3, pp.877-891.
    Venkatraman, N. (1989), “Strategic Orientation of Business Enterprises: The Construct, Dimensionality, and Measurement,” Management Science, 35: 8, pp.942-962.
    Wall, T. D. and Payne, R. (1973), “Are Deficiency Scores Deficient?” Journal of Applied Psychology, 58: 3, pp.322-326.
    West, S. G., Finch, J. F., and Curran, P. J. (1995), “Structural Equation Models with Nonnormal Variables: Problems and Remedies,” In R. H. Hoyle (Ed.), Structural Equation Modeling: Concepts, Issues, and Applications (pp.56-75), Thousand Oaks, CA: Sage.
    Bentler, P. M. (1978), “The Interdependence of Theory, Methodology, and Empirical Data: Causal Modeling as an Approach to Construct Validation,” In D. B. Kandel (Ed.), Longitudinal Drug Research, New York: Wiley, pp.267-302,
    Westbrook, R. A. (1987), “Product/Consumption-Based Affective Responses and Postpurchase Processes,” Journal of Marketing Research, 24 (August), pp.258-270.
    Westbrook, R. A. and Oliver, R. P. (1991), “The Dimensionality of Consumption Emotion Patterns and Consumer Satisfaction,” Journal of Consumer Research, 18 (June): pp.84-91.
    Yi, Y. (1990), “A Critical Review of Consumer Satisfaction,” in Review of Marketing, Ed. Valarie A. Zeithaml, Chicago: American Marketing Association, 68-123.
    Zeithaml, V. A. (1987), Defining and Relating Price, Perceived Quality, and Perceived Value, Report No. 87-101, Cambridge, MA: Marketing Science Institute.
    Zeithaml, V. A. (1988), “Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence,” Journal of Marketing, 52: 3, pp.2-22.
    Zeithaml, V. A., Parasuraman, A., and Berry, L. L. (1990), Delivering Quality Service: Balancing Customer Perceptions and Expectations, New York: The Free Press.
    Bentler, P. M. (1990), “Comparative Fit Indexes in Structural Models,” Pyshological Bulletin, 107, pp.238-246.
    Bentler, P. M. (1992), “On the Fit of Models to Covariances and Methodology to the Bulletin,” Psychological Bulletin, 112, pp.400-404.
    Bentler, P. M. and Bonett, D. G. (1980), “Significance Tests and Goodness of Fit in the Analysis of Covariance Structures,” Psychological Bulletin, 88, pp.588-606.
    Bentler, P. M. and Chou, C. P. (1987), “Practical Issues in Structural Modeling,” Sociological Methods & Research, 16, pp.78-117.
    Bitner, M. J. (1990), “Evaluating Service Encounters: The Effects of Physical Surroundings and Employee Responses,” Journal of Marketing, 54: 2, pp.69-82.
    Bollen, K. A. (1989a), “A New Incremental Fit Index for General Structural Models,” Sociological Methods & Research, 17, pp.303-316.
    Bollen, K. A. (1989b), Structural Equations with Latent Variables, Wiley, New York.
    Bolton, R. N. and Drew, J. H. (1991), “A Longitudinal Analysis of the Impacts of Service Changes on Customer Attitudes,” Journal of Marketing, 55: 1, pp.1-9.
    Boulding, W., Kalra, A., Staelin, R., and Zeithaml, V. A. (1993), “A Dynamic Process Model of Service Quality: From Expectations to Behavioral Intentions,” Journal of Marketing Research, 30: 1, pp.7-27.
    Brensinger, R. P. and Lambert, D. M. (1990), “Can the SERVQUAL Scale Be Generalized to Business-to-Business Services?” In Knowledge Development in Marketing, AMA’s Summer Educators Conference Proceedings, Boston, MA, pp.289.
    Brown, T. J., Churchill, G. A., and Peter, J. P. (1993), “Research Note: Improving the Measurement of Service Quality,” Journal of Retailing, 69: 1, pp.127-139.
    Browne, M. W. and Cudeck, R. (1993), “Alternative Ways of Assessing Model Fit,” In K. A. Bollen and J. S. Long (Eds.), Testing Structural Equation Models (pp.445-455), Newbury Park, CA: Sage.
    Byrne, B. M. (1998), Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS: Basic Concepts, Applications, and Programming, Lawrence Erlbaum Associates, Mahwah, New Jersey.
    Campbell, D. R. and Fiske, D. W. (1959), “Convergent and Discriminant Validation by Multitrait-Multimethod Matrix,” Psychological Bulletin, 56, pp.81-105.
    Campbell, D. T. (1960), “Recommendations for APA Test Standards Regarding Construct, Trait, or Discriminant Validity,” American Psychologist, 15, pp.546-553.
    Cardozo, R. N. (1965), ”An Experimental Study of Consumer Effort-Expectations and Satisfaction, “Journal of Marketing Research”, 5: 2 (Aug), pp.224-249.
    Carman, J. M. (1990), “Consumer Perceptions of Service Quality: An Assessment of the SERVQUAL Dimensions,” Journal of Retailing, 66: 1, pp.33-55.
    Choi, S. Y., Stahl, D. O., and Whinston, A. B. (1997), The Economics of Electronic Commerce, Macmillan Technical Publishing, Indianapolis, Ind.
    Churchill, G. A., Jr. (1979), “A Paradigm for Developing Better Measures of Marketing Constructs,” Journal of Marketing Research, 16 (Feb), pp. 64-73.
    Churchill, G. A., Jr. (1995), Marketing Research: Methodological Foundations, 6th edition, Chicago: The Dryden Press.
    Churchill, G. A., Jr. and Surprenant, C. (1982), ”An Investigation into the Determinants of Customer Satisfaction,” Journal of Marketing Research, 19 (November), pp.491-504.
    Cohen, J. and Cohen, P. (1975), Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, Lawrence Erlbaum Assoc., Hillsdale, NJ.
    Cronbach, L. J. (1951), “Coefficient Alpha and the Internal Structure of Tests,” Psychometrika, 16 (September), pp.297-334.
    Cronbach, L. J. (1971), “Test Validation,” in Educational Measurement, 2nd Edition, R.L. Thorndike (ed.), American Council on Education, Washington, D. C., pp.443-507.
    Cronbach, L. J. and Furby, L. (1970), “How We Should Measure Change – Or Should We?” Pyshcological Bulletin, 74(July), pp.68-80.
    Cronbach, L. J. and Meehl, P. E. (1955), “Construct Validity in Psychological Tests,” Psychological Bulletin, 52, pp.281-302.
    Cronin, J. J. and Taylor, S. A. (1992), “Measuring Service Quality: A Reexamination and Extension,” Journal of Marketing, 56: 3, pp.55-68.
    Cronin, J. J. and Taylor, S. A. (1994), “SERVPERF versus SERVQUAL: Reconciling Performance-Based and Perceptions-Minus-Expectations Measurement of Service Quality,” Journal of Marketing, 58: 1, pp.125-131.
    Dabholkar, P. A., Thorpe, I. D., and Rentz, J. O. (1996), “A Measure of Service Quality for Retail Stores: Scale Development and Validation,” Journal of the Academy of Marketing Science, 24: 1, pp.3-16.
    Delone, W. H., and McLean, E. R. (1992), “Information Systems Success: The Quest for the Dependent Variable,” Information Systems Research, 3: 1, pp.60-95.
    Doll, W. J. and Torkzadeh, G. (1988), “The Measurement of End-User Computing Satisfaction,” MIS Quarterly, 12: 2, pp.259-274.
    Doll, W. J., Raghunathan, T. S., Lim, Jeen-u, and Gupta, Y. P. (1995), “A Comfirmatory Factor Analysis of the User Information Satisfaction Instrument,” Information System Research, 6: 2, pp.177-189.
    Doll, W. J., Xia, W., and Torkzadeh, G. (1994), “A Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument,” MIS Quarterly, 18: 4, 453-461.
    Ferratt, T. W. and Short, L. E. (1986), “Are information systems people difference An investigation of motivational difference: An investigation of motivational differences,” MIS Quarterly, (December), pp.377-387.
    Finn, D. W. and Lamb, C. W. (1991), “An Evaluation of the SERVQUAL Scales in a Retailing Setting,” Advances in Consumer Research, 18, pp.338-357.
    Fishbein, M. and Ajzen, I. (1975), Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA.
    Fisk, R. P., Brown, S. W., and Bitner, M. J. (1993), “Tracking the Evolution of the Services Marketing Literature,” Journal of Retailing, 69: 1, pp.61-103.
    Folkes, V. S., Koletsky, S., and Graham, J. (1987), “A Field Study of Causal Inferences and Consumer Reaction: The View from the Airport,” Journal of Consumer Research, 13 (March), pp.534-539.
    Fornell, C., and Larcker, D. F. (1981), “Evaluating Structural Equation Models With Unobservable Variables and Measurement Error,” Journal of Marketing Research, 18, pp.39-50.
    Galletta, D. F. and Lederer, A. L. (1989), “Some Caution on the Measurement of User Information Satisfaction,” Decision Sciences, 20: 3, pp.419-438.
    Garvin, D. A. (1983), “Quality on the Line,” Harvard Business Review, 61, pp.65-73.
    Gerbing, D. W. and Anderson, J. C. (1988), “An Updated Paradigm for Scale Development Incorporating Unidimensionality and Its Assessment,” Journal of Marketing Research, 25 (May), pp. 186-192.
    Giese, J. L. and Gote, J. A. (2000), “Defining Consumer Satisfaction,” Academy of Marketing Science Review [Online] 00 (01) Available: http://www.amsreview.org/amsrev/theory/giese00-01.html.
    Hair, J. F., Jr., Anderson, R. E., Tatham, R. L., and Black, W. C. (1998), Multivariate Data Analysis, Prentice-Hall, Upper Saddle River, N.J.
    Halstead, D., Hartman, D., and Schmidt, S. L. (1994), “Multisource Effects on the Satisfaction Formation Process,” Journal of the Academy of Marketing Science, 22 (Spring): 114-129.
    Handy, C. R. (1977), “Monitoring Consumer Satisfaction with Food Products,” in H. H. Hunt, ed., Conceptualization and Measurement Satisfaction and Dissatisfaction, Cambridge, Mass.: Marketing Science Institute.
    Hjorth-Anderson, Chr. (1984), “The Concept of Quality and the Efficiency of Markets for Consumer Products,” Journal of Consumer Research, 11, pp.708-718.
    Hu, L. T., and Bentler, P. M. (1995), “Evaluating Model Fit,” In R. H. Hoyle (Ed.), Structural Equation Modeling: Concepts, Issues, and Applications (pp. 76-99), Thousand Oaks, CA: Sage.
    Hunt, H. K. (1977), “CS/D – Overview and Future Research Directions,” Conceptualization and Measurement of Customer Satisfaction and Dissatisfaction, Cambridge, MA: Marketing Science Institute, pp.459-460.
    Igbaria, M. (1990), “End-User Computing Effectiveness: A Structural Equation Model,” OMEGA, 18: 6, pp. 637-652.
    Ives, B., Olson, M. H. and Baroudi, J. J. (1983), “The Measurement of User Information Satisfaction,” Communications of the ACM, 26: 10, pp.785-793.
    James, L. R., Mulaik, S. A., and Brett, J. M. (1982), Causal Analysis: Assumptions, Models, and Data, Beverly Hills, CA: Sage.
    Johns, G. (1981), “Difference Score Measures of Organizational Behavior Variables: A Critique,” Organizational Behavior and Human Performance, 27, pp.443-463.
    Jöreskog, K. G. (1993), “Testing Structural Equation Models,” in Testing Structural Equation Models, K. A. Bollen and L. S. Long (eds.), Sage Publications, Newbury Park, CA.
    Jöreskog, K. G. and Sörbom, D. (1993), LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language, Chicago, IL: Scientific Software International.
    Joshi, K. (1990), “An Investigation of Equity as a Determinant of User Information Satisfaction,” Decision Sciences, 21: 4, pp.786-807.
    Kalakota, R. and Whinston, A. B. (1996), Frontiers of Electronic Commerce, Addision-Wesley.
    Kerlinger, F. N. (1978), Foundations of Behavioral Research, McGraw-Hill, NY.
    Kettinger, W. J. and Lee, C. C. (1994), “Perceived Service Quality and User Satisfaction with the Information Services Function,” Decision Sciences, 25: 5, pp.737-766.
    Kettinger, W. J. and Lee, C. C. (1997), “Pragmatic Perspectives on the Measurement of Information Systems Service Quality,” MIS Quarterly, 21: 2, pp.223-240.
    Kettinger, W. J. and Lee, C. C. (1999), “Replication of Measures in Information Systems Research: The Case of IS SERVQUAL,” Decision Sciences, 30: 3, pp.893-899.
    Description: 博士
    國立政治大學
    資訊管理研究所
    86356501
    90
    Source URI: http://thesis.lib.nccu.edu.tw/record/#B2002000048
    Data Type: thesis
    Appears in Collections:[資訊管理學系] 學位論文

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