| 參考文獻 |
中華民國交通部，http://stat.motc.gov.tw/mocdb/stmain.jsp?sys=100，民國103年。
財團法人車輛研究測試中心，https://www.artc.org.tw/，民國104年。
經濟部智慧電動車先導運行計畫資訊網，http://www.lev.org.tw/iev/caseLink_C.aspx，民國105年。
Agarwal, R., & Karahanna, E., 2000. Time flies when you′re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694.
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.
Ajzen, I., 1985. From intentions to actions: A Theory of Planned Behavior. Heidelberg, Springer, Germany.
Ajzen, I., 1991. The Theory of Planned Behavior, Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Ajzen, I., Fishbein, M., 1980. Understanding Attitudes and Predicting Social Behavior, Prentice-Hall, Englewood Cliffs, NJ.
Akaike, H., 1987. Factor analysis and AIC. Psychometrika, 52(3), 317-332.
Aldás-Manzano, J., Ruiz-Mafé, C., Sanz-Blas, S., 2009. Exploring individual personality factors as drivers of M-shopping acceptance. Industrial Management and Data Systems 109(6), 739–757.
Baron, R. M., & Kenny, D. A., 1986. The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.
Bauer, R. A., 1960. Consumer behavior as risk taking, In: Hancock, R.S. (Ed.), Dynamic marketing for a Changing World, American Marketing Association, Chicago, 389-398.
Becker, J. M., Rai, A., Ringle, C. M., & Völckner, F., 2013. Discovering unobserved heterogeneity in structural equation models to avert validity threats. MIS Quarterly, 37(3), 665-694.
Bozdogan, H., 1987. Model selection and Akaike′s information criterion (AIC): The general theory and its analytical extensions. Psychometrika, 52(3), 345-370.
Bozdogan, H., 1994. Mixture-model cluster analysis using model selection criteria and a new informational measure of complexity. Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach, Dordrecht, Netherlands, 69-113.
Campbell, D. T., & Fiske, D. W., 1959. Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81-105.
Chang, C. T., 2012. Are guilt appeals a panacea in green advertising? The right formula of issue proximity and environmental consciousness. International Journal of Advertising, 31(4), 741-771.
Chang, H. L. and T. H. Yeh, 2007. Motorcyclist accident involvement by age, gender, and risky behaviors in Taipei, Taiwan. Transportation Research Part F: Traffic Psychology and Behaviour, 10(2), 109-122.
Chen, C. F., & Chao, W. H., 2011. Habitual or reasoned? Using the theory of planned behavior, technology acceptance model, and habit to examine switching intentions toward public transit. Transportation Research Part F: Traffic Psychology and Behaviour, 14(2), 128-137.
Chen, C. T., 2016. Investigating the Influential Factors of Public Bicycle System and Cyclist Heterogeneity. Master′s Thesis, National Central University, Taiwan.
Chen, S. Y., 2016. Using the sustainable modified TAM and TPB to analyze the effects of perceived green value on loyalty to a public bike system. Transportation Research Part A: Policy and Practice, 88, 58-72.
Cheng, Y. H., & Huang, T. Y., 2013. High speed rail passengers’ mobile ticketing adoption. Transportation Research Part C: Emerging Technologies, 30, 143-160.
Chin, W. W., 1998. The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.
Chin, W.W., & Newsted, P.R., 1999. Structural equation modeling analysis with small samples using partial least squares, In R.H. Hoyle (Ed.), Statistical Strategies for Small Sample Research, Sage, Thousand Oaks, CA, 307-341.
Cornelissen, G., Pandelaere, M., Warlop, L., & Dewitte, S., 2008. Positive cueing: promoting sustainable consumer behavior by cueing common environmental behaviors as environmental. International Journal of Research in Marketing, 25(1), 46-55.
Cronbach, L. J., 1951. Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334.
Dowling, G. R., & Staelin, R., 1994. A model of perceived risk and intended risk-handling activity. Journal of Consumer Research, 21(1), 119-134.
Dunlap, N. K., Mergo, W., Jones, J. M., & Carrick, J. D., 2002. A general procedure for a one-pot oxidative cleavage/Wittig reaction of glycols. Tetrahedron Letters, 43(21), 3923-3925.
Featherman, M. S., & Pavlou, P. A., 2003. Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451-474.
Fishbein, M., Ajzen, I., 1975. Belief, Attitudes, Intention, and Behavior. An Introduction to Theory and Research. Addison-Wesley, Boston, MA.
Fornell, C., and Larcker, D. F., 1981. Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research, 18(1), 39-50.
Forsythe, S. M., & Shi, B., 2003. Consumer patronage and risk perceptions in Internet shopping, Journal of Business Research, 56(11), 867-875.
Gao, S., Moe, S.P., Krogstie, J., 2010. An empirical test of the mobile services acceptance model. Paper presented at the 2010 Ninth International Conference on Mobile Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR), Athens, Greece, DOI:10.1109/ICMB-GMR.2010.51.
Goldsmith, R.E., 2000. Identifying wine innovators: a test of the domain-specific innovativeness scale using known groups. International Journal of Wine Marketing, 12(2), 37–46.
Gupta, S., Kim, H.W., 2010. Value-driven Internet shopping: the mental accounting theory perspective. Psychology and Marketing, 27(1), 13-35.
Hahn, C. H., Johnson, M. D., Herrmann, A., Huber, F., 2002. Capturing customer heterogeneity using a finite mixture PLS approach. Schmalenbach Business Review, 54(3), 243-269.
Hair, J.F., Hult, G. T. M., Ringle, C., Sarstedt, M., 2014. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), Sage, Thousand Oaks, CA.
Hair, J. F., Ringle, C. M., & Sarstedt, M., 2011. PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152.
Hair, J. F., Sarstedt, M., Matthews, L. M., & Ringle, C. M., 2016. Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I–method. European Business Review, 28(1), 63-76
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A., 2012. An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414-433.
Harman, H. H., 1976. Modern factor analysis, 3rd ed. University of Chicago Press, Chicago.
Haustein, S., Klöckner, C. A., & Blöbaum, A., 2009. Car use of young adults: The role of travel socialization. Transportation Research part F: Traffic Psychology and Behaviour, 12(2), 168-178.
Henseler, J., 2012. PLS-MGA: A non-parametric approach to partial least squares-based multi-group analysis. In: W. A. Gaul, A. Geyer-Schulz, L. Schmidt-Thieme, and J. Kunze (Eds.) Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation, Karlsruhe, July 21-23, 2010. , Springer, Berlin, Heidelberg, 495-501.
Henseler, J., Ringle, C. M., Sarstedt, M., 2015. A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.
Henseler, J., Ringle, C. M., Sarstedt, M., 2016. Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), DOI: 10.1108/IMR-09-2014-0304. (in press)
Henseler, J., Ringle, C. M., & Sinkovics, R. R., 2009. The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20(1), 277-319.
Hines, J. M., Hungerford, H. R., & Tomera, A. N., 1987. Analysis and synthesis of research on responsible environmental behavior: a meta-analysis. The Journal of Environmental Education, 18(2), 1-8.
Hsiao, C. H., & Yang, C., 2010. Predicting the travel intention to take High Speed Rail among college students. Transportation Research Part F: Traffic Psychology and Behaviour, 13(4), 277-287.
Hui, B. S., & Wold, H., 1982. Consistency and consistency at large of partial least squares estimates. In K. G. Joreskog & H. Wold (Eds.), Systems under Indirect Observation, Part II, Amsterdam: North-Holland, 119-130.
Hunecke, M., Haustein, S., Grischkat, S., & Böhler, S., 2007. Psychological, sociodemographic, and infrastructural factors as determinants of ecological impact caused by mobility behavior. Journal of Environmental Psychology, 27(4), 277-292.
Kaiser, F. G., Wölfing, S., & Fuhrer, U., 1999. Environmental attitude and ecological behaviour. Journal of Environmental Psychology, 19(1), 1-19.
Keil, M., Tan, B. C., Wei, K.-K., Saarinen, T., Tuunainen, V., Wassenaar, A., 2000. A cross-cultural study on escalation of commitment behavior in software projects. MIS Quarterly, 24(2), 299-325.
Kim, D.J., Ferrin, D.L., Rao, H.R., 2008. A trust-based consumer decision-making model in electronic commerce: the role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564.
Kuo, Y.F., Yen, S.N., 2009. Towards an understanding of the behavioral intention to use 3G mobile value-added services. Computers in Human Behavior, 25(1), 103–110.
Lane, C., 2005. PhillyCarShare: First-year social and mobility impacts of carsharing in Philadelphia, Pennsylvania. Transportation Research Record: Journal of the Transportation Research Board, No.1927, Transportation Research Board of the National Academies, Washington, D.C. ,158-166.
Liang, Z., Jaszczak, R. J., Coleman, R. E., 1992. Parameter estimation of finite mixtures using the EM algorithm and information criteria with application to medical image processing. IEEE Transactions on Nuclear Science, 39(4), 1126-1133.
Limayern, M., Khalifa, M., Frini, A., 2000. What makes consumers shop via Internet? A longitudinal study of online shopping. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 30(4), 421–432.
Luo, X., Li, H., Zhang, J., Shim, J.P., 2010. Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: an empirical study of mobile banking services. Decision Support Systems, 49(2), 222–234.
Matthews, L. M., Sarstedt, M., Hair, J. F., Ringle, C. M., 2016. Identifying and treating unobserved heterogeneity with FIMIX-PLS: Part II–a case study. European Business Review, 28(2), 208-224.
Mitchell, V. W., & Greatorex, M., 1993. Risk perception and reduction in the purchase of consumer services. Service Industries Journal, 13(4), 179-200.
Miyazaki, A.D., Fernandez, A., 2001. Consumer perceptions of privacy and security risks for online shopping. The Journal of Consumer Affairs, 35(1), 27–44.
Molin, E., Mokhtarian, P., Kroesen, M., 2016. Multimodal travel groups and attitudes: A latent class cluster analysis of Dutch travelers. Transportation Research Part A: Policy and Practice, 83, 14-29.
Mooi, E. A., & Sarstedt, M., 2011. A concise guide to market research: the process, data, and methods using IBM SPSS Statistics. Springer, Berlin.
Nunally, J. C., & Bernstein, I. H., 1994. Psychometric Theory. New York: McGraw-Hill.
Nunnally, J. C., & Bernstein, I. H., 1994. The assessment of reliability. Psychometric Theory, 3(1), 248-292.
O’Fallon, C., Sullivan, C., and Hensher, D. A., 2004. Constraints affecting mode choices by morning car commuters. Transport Policy, 11, 17-29.
Paul Goodwin, 1995. Car Dependence. Transport Policy, 2(3), 151-152.
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P., 2003. Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.
Ramaswamy, V., DeSarbo, W. S., Reibstein, D. J., Robinson, W. T., 1993. An empirical pooling approach for estimating marketing mix elasticities with PIMS data. Marketing Science, 12(1), 103-124.
Reinartz, W., Haenlein, M., & Henseler, J., 2009. An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26, 332-344.
Ringle, C. M., Götz, O., Wetzels, M., & Wilson, B., 2009. On the use of formative measurement specifications in structural equation modeling: A Monte Carlo simulation study to compare covariance-based and partial least squares model estimation methodologies (METEOR Research Memoranda RM/09/014). Maastricht, the Netherlands: Maastricht University.
Ringle, C. M., Sarstedt, M., & Schlittgen, R., 2014. Genetic algorithm segmentation in partial least squares structural equation modeling. OR Spectrum, 36(1), 251-276.
Ringle, C. M., Wende, S., Becker, J.-M., 2015. SmartPLS 3, SmartPLS GmbH, Bönningstedt (available at http://www. smartpls. com).
Ringle, C.M., Wende, S., Will, A., 2010. Finite mixture partial least squares analysis: Methodology and numerical examples. In: Esposito Vinzi, V., Chin, W.W., Henseler, J.and Wang, H., (Eds), Handbook of Partial Least Squares: Concepts, Methods and Applications, Springer Handbooks of Computational Statistics Series, 2, Springer, Heidelberg, Dordrecht, London, NY, 195-218.
Roberts, J. A., & Bacon, D. R., 1997. Exploring the subtle relationships between environmental concern and ecologically conscious consumer behavior. Journal of Business Research, 40(1), 79-89.
Rogers, E.M., 1995. Diffusion of Innovations (4 ed.), New York, Free Press.
Sarstedt, M., Becker, J.-M., Ringle, C. M., Schwaiger, M., 2011. Uncovering and treating unobserved heterogeneity with FIMIX-PLS: Which model selection criterion provides an appropriate number of segments? Schmalenbach Business Review, 63(1), 34-62.
Sarstedt, M., Ringle, C. M., 2010. Treating unobserved heterogeneity in PLS path modeling: A comparison of FIMIX-PLS with different data analysis strategies. Journal of Applied Statistics, 37(8), 1299-1318.
Schwarz, G., 1978. Estimating the dimension of a model. The Annals of Statistics, 6(2), 461-464.
Spector, P. E., & Brannick, M. T., 1995. The nature and effects of method variance in organizational research. International Review of Industrial and Organizational Psychology West Sussex, John Wiley, England, 249-274.
Taylor, S., & Todd, P. A., 1995a. Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
Taylor, S., & Todd, P., 1995b. Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International Journal of Research in Marketing, 12(2), 137-155.
Ulleberg, P., 2001. Personality subtypes of young drivers. Relationship to risk-taking preferences, accident involvement, and response to a traffic safety campaign. Transportation Research Part F: Traffic Psychology and Behaviour, 4(4), 279-297.
Wan, C., Shen, G. Q., & Yu, A., 2014. The moderating effect of perceived policy effectiveness on recycling intention. Journal of Environmental Psychology, 37, 55-60.
Wen, C.-H., Wang, W.-C., Fu, C., 2012. Latent class nested logit model for analyzing high-speed rail access mode choice. Transportation Research Part E: Logistics and Transportation Review., 48(2), 545-554.
Wertz, C., Linn, R., and J¨oreskog, K., 1974, Intraclass reliability estimates: Testing structural assumptions, Educational and Psychological Measurement, 34(1), 25–33.
Yang, K.C.C., 2005, Exploring factors affecting the adoption of mobile commerce in Singapore, Telematics and Informatics, 22(3), 257–277. |
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