參考文獻 |
[1] 交通部統計處(2019.10),機車使用狀況調查報告。
[2] 交通部運輸研究所(2016),運輸部門年度排放清冊。
[3] 交通部運研所(2018),陸路運輸業能源消耗及溫室氣體排放推估及評估指標研析。
[4] 許志義、游晨廷(2019),電動機車商業模式之經濟效益分析:共享經濟vs.電池租賃。臺灣能源期刊,第六卷第二期,第185-205頁。
[5] 張乃瑄、温蓓章(2019.05),我國電動機車產業現況與迎戰國際競爭策略,中華經濟研究院第二研究所。
[6] 陳寬裕(2018),結構方程模型分析實務:SPSS與SmartPLS 的運用,五南圖書出版股份有限公司。
[7] 陳惠國(2019),研究分析方法課程講義,國立中央大學土木工程學系。
[8] 曾郁茜(2019.10),全球電動機車市場趨勢與關鍵議題,工研院產業科技國際策略發展所。
[9] 曾郁茜(2020.5),全球二輪車聯網趨勢與應用案例,工研院產業科技國際策略發展所
[10] 環保署(2017),環境資源資料庫,https://erdb.epa.gov.tw/
[11] 環保署(2019),國家溫室氣體排放清冊。
[12] 環保署(2019),台灣空氣汙染物排放量[TEDS 10.0]線源–排放量推估手冊
[13] 臺北市停車管理工程處(2018),臺北市汽機車停車供需調查。
[14] 臺北市停車管理工程處(2019),臺北市汽機車停車供需調查。
[15] 魏逸樺、鄧傑漢(2020.05),臺灣電動機車共享服務的發展,中華經濟研究院綠色經濟研究中心。
[16] WeMo Scooter官方網站(2019.10),WeMo Scooter智慧交通白皮書。
[17] iRent官方網站,https://www.ridegoshare.com/tw/
[18] GoShare官方網站,https://www.easyrent.com.tw/irent/web/index.html
[19] Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action Control, 11-39.
[20] Ajzen, I., 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes,50 (2):179-211.
[21] Ajzen, I., and M. Fishbein., 1980. Understanding Attitudes and Predicting Social Behavior, Englewood Cliffs.
[22] 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.
[23] Bollen, K. A., 1989. A new incremental fit index for general structural equation models. Sociological Methods & Research, 17(3), 303-316.
[24] Bagozzi, R. P., & Yi, Y.,1991. Multitrait-multimethod matrices in consumer research. Journal of Consumer Research, 17(4), 426-439.
[25] Bagozzi, R. P., Baumgartner, H., & Yi, Y., 1992. State versus action orientation and the theory of reasoned action: An application to coupon usage. Journal of Consumer Research, 18(4), 505-518.
[26] Bardhi, F., & Eckhardt, G. M., 2012. Access-based consumption: The case of car sharing. Journal of Consumer Research, 39(4), 881-898.
[27] Becker, J. M., Rai, A., Ringle, C. M., & Völckner, F., 2013. Discovering unobserved heterogeneity in structural equation models to avert validity threats. MIS Quarterly, 665-694.
[28] Bjerkan, K. Y., Nørbech, T. E., & Nordtømme, M. E., 2016. Incentives for promoting battery electric vehicle (BEV) adoption in Norway. Transportation Research Part D: Transport and Environment, 43, 169-180.
[29] Bonges III, H. A., & Lusk, A. C., 2016. Addressing electric vehicle (EV) sales and range anxiety through parking layout, policy and regulation. Transportation Research Part A: Policy and Practice, 83, 63-73.
[30] Bjerkan, K. Y., Nørbech, T. E., & Nordtømme, M. E., 2016. Incentives for promoting battery electric vehicle (BEV) adoption in Norway. Transportation Research Part D: Transport and Environment, 43, 169-180.
[31] Barnes, S. J., & Mattsson, J., 2017. Understanding collaborative consumption: Test of a theoretical model. Technological Forecasting and Social Change, 118, 281-292.
[32] Comrey, A. L., & Lee, H. B., 2013. A first course in factor analysis.
[33] Chin, W. W. 1998., The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.
[34] Chin, W. W., & Newsted, P. R., 1999. Structural equation modeling analysis with small samples using partial least squares. Statistical Strategies for Small Sample Research, 1(1), 307-341.
[35] Cervero, R., & Tsai, Y., 2004. City CarShare in San Francisco, California: second-year travel demand and car ownership impacts. Transportation Research Record, 1887(1), 117-127.
[36] Chang, H. L., & Yeh, T. H., 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.
[37] 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.
[38] Carley, S., Krause, R. M., Lane, B. W., & Graham, J. D., 2013. Intent to purchase a plug-in electric vehicle: A survey of early impressions in large US cites. Transportation Research Part D: Transport and Environment, 18, 39-45.
[39] Chen, S. Y., & Lu, C. C., 2016. A model of green acceptance and intentions to use bike-sharing: YouBike users in Taiwan. Networks and Spatial Economics, 16(4), 1103-1124.
[40] Coffman, M., Bernstein, P., & Wee, S., 2017. Electric vehicles revisited: a review of factors that affect adoption. Transport Reviews, 37(1), 79-93.
[41] Chen, H. K., Chou, H. W., & Hung, S. C., 2019. Interrelationships between behaviour intention and its influential factors for consumers of motorcycle express cargo delivery service. Transportmetrica A: Transport Science, 15(2), 526-555.
[42] Davis, F. D., 1986. A technology acceptance model for empirically testing new end-user information systems: Theory and results. (Doctoral dissertation, Massachusetts Institute of Technology).
[43] Davis, F. D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340.
[44] Davis, F. D., Bagozzi, R. P., & Warshaw, P. R., 1989. User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.
[45] Dishaw, M. T., & Strong, D. M., 1999. Extending the technology acceptance model with task–technology fit constructs. Information & Management, 36(1), 9-21.
[46] Efron, B., & Tibshirani, R. J., 1994. An introduction to the bootstrap.
[47] Eccarius, T., & Lu, C. C., 2020. Powered two-wheelers for sustainable mobility: A review of consumer adoption of electric motorcycles. International Journal of Sustainable Transportation, 14(3), 215-231.
[48] Fishbein, M., & Ajzen, I., 1977. Belief, attitude, intention, and behavior: An introduction to theory and research.
[49] Fornell, C., & Larcker, D. F., 1981. Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18, 39-51.
[50] Fellows, N. T., & Pitfield, D. E., 2000. An economic and operational evaluation of urban car-sharing. Transportation Research Part D: Transport and Environment, 5(1), 1-10.
[51] Gefen, D., Straub, D., & Boudreau, M. C., 2000. Structural equation modeling and regression: Guidelines for research practice. Communications of The Association for Information Systems, 4(1), 7.
[52] Gay, L. R., Mills, G. E., & Airasian, P. W. (2009). Educational Research: Competencies for Analysis and Applications.
[53] Graham-Rowe, E., Gardner, B., Abraham, C., Skippon, S., Dittmar, H., Hutchins, R., & Stannard, J., 2012. Mainstream consumers driving plug-in battery-electric and plug-in hybrid electric cars: A qualitative analysis of responses and evaluations. Transportation Research Part A: Policy and Practice, 46(1), 140-153.
[54] Giang, P. T., Trang, P. T., & Yen, V. T., 2017. An examination of factors influencing the intention to adopt ride-sharing applications. A Case Study in Vietnam. Imperial Journal of Interdisciplinary Research (IJIR), 3(10), 618-623.
[55] Harman, H. H., 1976. Modern factor analysis.
[56] Hui, B. S., & Wold, H., 1982. Consistency and consistency at large of partial least squares estimates. Systems Under Indirect Observation, Part II, 119-130.
[57] Haenlein, M., & Kaplan, A. M., 2004. A beginner′s guide to partial least squares analysis. Understanding Statistics, 3(4), 283-297.
[58] 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.
[59] Henseler, J., 2012. PLS-MGA: A non-parametric approach to partial least squares-based multi-group analysis. In Challenges at the Interface of Data Analysis, Computer Science, and Optimization , 495-501.
[60] 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.
[61] Hayes, A. F., & Scharkow, M., 2013. The relative trustworthiness of inferential tests of the indirect effect in statistical mediation analysis: Does method really matter?. Psychological Science, 24(10), 1918-1927.
[62] Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G., 2014. Partial least squares structural equation modeling (PLS-SEM).
[63] Hayes, A. F., & Preacher, K. J., 2014. Statistical mediation analysis with a multicategorical independent variable. British Journal of Mathematical and Statistical Psychology, 67(3), 451-470.
[64] Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M., 2016. A primer on partial Least Squares Structural Equation Modeling (PLS-SEM).
[65] Huang, F. H., 2016. Exploring information needs of using battery swapping system for riders. In International Conference on Human Interface and the Management of Information, 531-541.
[66] Hamari, J., Sjöklint, M., & Ukkonen, A., 2016. The sharing economy: Why people participate in collaborative consumption. Journal of the Association for Information Science and Technology, 67(9), 2047-2059.
[67] Henseler, J., Hubona, G., & Ray, P. A., 2016. Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems.
[68] Haldar, P., & Goel, P., 2019. Willingness to use carsharing apps: an integrated TPB and TAM. International Journal of Indian Culture and Business Management, 19(2), 129-146.
[69] Jöreskog, K. G., 1978. Structural analysis of covariance and correlation matrices. Psychometrika, 43(4), 443-477.
[70] 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, 299-325.
[71] Lohmöller, J. B., 1989. Predictive vs. structural modeling: Pls vs. ml. In Latent Variable Path Modeling with Partial Least Squares, 199-226.
[72] Lieven, T., Mühlmeier, S., Henkel, S., & Waller, J. F., 2011. Who will buy electric cars? An empirical study in Germany. Transportation Research Part D: Transport and Environment, 16(3), 236-243.
[73] Lamberton, C. P., & Rose, R. L., 2012. When is ours better than mine? A framework for understanding and altering participation in commercial sharing systems. Journal of Marketing, 76(4), 109-125.
[74] MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V., 2002. A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7(1), 83.
[75] Mattila, A. S., & Enz, C. A., 2002. The role of emotions in service encounters. Journal of Service Research, 4(4), 268-277.
[76] May, A., Ross, T., Grebert, J., & Segarra, G., 2008. User reaction to car share and lift share within a transport ‘marketplace’. IET Intelligent Transport Systems, 2(1), 47-60.
[77] Moan, I. S., & Rise, J., 2011. Predicting intentions not to “drink and drive” using an extended version of the theory of planned behaviour. Accident Analysis & Prevention, 43(4), 1378-1384.
[78] Mayer, K. J., & Sparrowe, R. T., 2013. From the editors—Integrating theories in AMJ articles. Academy of Management Journal, 56(4), 917–922.
[79] Mattia, G., Mugion, R. G., & Principato, L., 2019. Shared mobility as a driver for sustainable consumptions: The intention to re-use free-floating car sharing. Journal of Cleaner Production, 237, 117404.
[80] Nunnally, J. C., 1994. Psychometric Theory 3E.
[81] Norberg, P. A., Horne, D. R., & Horne, D. A., 2007. The privacy paradox: Personal information disclosure intentions versus behaviors. Journal of Consumer Affairs, 41(1), 100-126.
[82] O′Fallon, C., Sullivan, C., & Hensher, D. A., 2004. Constraints affecting mode choices by morning car commuters. Transport Policy, 11(1), 17-29.
[83] Ong, D. L. T., Tee, S. Y. V., & Lim, M. Y. H., 2017. Uber-nization of transport: An investigation into the sustainability of ride-sharing applications in Malaysia.
[84] Oyedele, A., & Simpson, P., 2018. Emerging adulthood, sharing utilities and intention to use sharing services. Journal of Services Marketing.
[85] Podsakoff, P. M., & Organ, D. W., 1986. Self-reports in organizational research: Problems and prospects. Journal of Management, 12(4), 531-544.
[86] 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.
[87] Preacher, K. J., & Hayes, A. F., 2004. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36(4), 717-731.
[88] Preacher, K. J., & Hayes, A. F., 2008. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879-891.
[89] Roscoe, J. T., 1975. Fundamental research statistics for the behavioral sciences.
[90] Rhodes, N., & Pivik, K., 2011. Age and gender differences in risky driving: The roles of positive affect and risk perception. Accident Analysis & Prevention, 43(3), 923-931.
[91] Rucker, D. D., Preacher, K. J., Tormala, Z. L., & Petty, R. E., 2011. Mediation analysis in social psychology: Current practices and new recommendations. Social and Personality Psychology Compass, 5(6), 359-371.
[92] Rezvani, Z., Jansson, J., & Bodin, J., 2015. Advances in consumer electric vehicle adoption research: A review and research agenda. Transportation Research Part D: Transport and Environment, 34, 122-136.
[93] Schwab, D. P., 1980. Construct validity in organizational behavior. Res Organ Behav, 2, 3-43.
[94] Sobel, M. E., 1982. Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290-312.
[95] Spector, P. E., 1987. Method variance as an artifact in self-reported affect and perceptions at work: Myth or significant problem?. Journal of Applied Psychology, 72(3), 438.
[96] Sheppard, B. H., Hartwick, J., & Warshaw, P. R.,1988. The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15(3), 325-343.
[97] Sethi, V., & Carraher, S., 1993. Developing measures for assessing the organizational impact of information technology: A comment on Mahmood and Soon′s paper. Decision Sciences, 24(4), 867-877.
[98] Shaffer, J. P., 1995. Multiple hypothesis testing. Annual Review of Psychology, 46(1), 561-584.
[99] Shrout, P. E., & Bolger, N., 2002. Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychological Methods, 7(4), 422.
[100] Straub, D., Boudreau, M. C., & Gefen, D., 2004. Validation guidelines for IS positivist research. Communications of the Association for Information Systems, 13(1), 24.
[101] Sarstedt, M., Henseler, J., & Ringle, C. M., 2011. Multigroup analysis in partial least squares (PLS) path modeling: Alternative methods and empirical results. In Measurement and Research Methods in International Marketing.
[102] Sierzchula, W., Bakker, S., Maat, K., & Van Wee, B., 2014. The influence of financial incentives and other socio-economic factors on electric vehicle adoption. Energy Policy, 68, 183-194.
[103] Si, H., Shi, J. G., Tang, D., Wu, G., & Lan, J., 2020. Understanding intention and behavior toward sustainable usage of bike sharing by extending the theory of planned behavior. Resources, Conservation and Recycling, 152, 104513.
[104] Taylor, S., & Todd, P., 1995. 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.
[105] Taylor, S., & Todd, P., 1995. Assessing IT usage: The role of prior experience. MIS Quarterly, 561-570.
[106] Wold, H., 1966. Estimation of principal components and related models by iterative least squares. Multivariate Analysis, 391-420.
[107] Werts, C. E., Linn, R. L., & Jöreskog, K. G., 1974. Intraclass reliability estimates: Testing structural assumptions. Educational and Psychological Measurement, 34(1), 25-33.
[108] Wold, H., 1982. Soft modeling: the basic design and some extensions. Systems Under Indirect Observation, 2, 343.
[109] Wold, H., 1985. Partial least squares. S. Kotz and NL Johnson (Eds.), Encyclopedia of statistical sciences (vol. 6).
[110] Wolbertus, R., Kroesen, M., van den Hoed, R., & Chorus, C. G., 2018. Policy effects on charging behaviour of electric vehicle owners and on purchase intentions of prospective owners: Natural and stated choice experiments. Transportation Research Part D: Transport and Environment, 62, 283-297.
[111] Wang, Y., Wang, S., Wang, J., Wei, J., & Wang, C., 2018. An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model. Transportation, 1-19.
[112] Wang, Y., Wang, S., Wang, J., Wei, J., & Wang, C., 2018. An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model. Transportation, 1-19.
[113] Wang, N., Tang, L., & Pan, H., 2019. A global comparison and assessment of incentive policy on electric vehicle promotion. Sustainable Cities and Society, 44, 597-603.
[114] Wang, J., & Wang, X., 2019. Structural equation modeling: Applications using Mplus.
[115] Zhang, K., Guo, H., Yao, G., Li, C., Zhang, Y., & Wang, W., 2018. Modeling acceptance of electric vehicle sharing based on theory of planned behavior. Sustainability, 10(12), 4686. |