A Modified Decomposed Theory of Planned Behaviour Model to Analyze User Intention towards Distance-Based Electronic Toll Collection Services
Abstract
This study proposes a modified decomposed theory of planned behaviour model (DTPB) that integrates satisfaction and trust into the original DTPB model to explore what kind of factors affect the user intention towards distance-based electronic toll collection (ETC) services. The proposed model is empirically tested by using data collected from a questionnaire survey with a computer assisted telephone interview system. Empirical analysis is carried out in three stages that combine confirmatory factor analysis, structural equation modelling (SEM), and Bayesian network: (1) examination of reliability and validity of the measurement model; (2) analysis of structural model; (3) prediction of the probability of user intention change based on rigorous framework of SEM. The results confirm that the satisfaction and trust have positive effects on the behaviour intention, also validating that five constructs have indirect effects on the behaviour intention through attitude and perceived behaviour control. Compatibility is the most important influence factor, followed by perceived usefulness, facilitating conditions, self-efficacy, and perceived ease of use. The findings of this study identify potential improvements for ETC operator, such as contributing to the society to enhance the company image and trust of enterprise with charity activities, and simultaneously upgrading the information platform of website, software, and Apps.
References
Markets and Markets. Electronic toll collection market by type (ETC and AET), product (AVI and AVC), technology (RFID, DSRC, video analytics, and GNSS/GPS), application (highway and urban) and geography - analysis & forecast (2014-2020). Markets and Markets [Internet]. 2015 June [cited 2016 January 4]. Available from: http://www.marketsandmarkets.com/Market-Reports/electronic-toll-collection-system-market-224492059.html
Lo R. Toll excellence award winners - Taiwan Area National Freeway Bureau. FETC [Internet]. 2015 August [cited 2016 February 10]. Available from: http://www.linkedin.com/pulse/2015-toll-excellence-award-winners-taiwan-area-national-robin-lo?forceNoSplash=true
Xu C, Wang W, Chen J, Wang W, Yang C. Li, Z. Analyzing travelers’ intention to accept travel information. Transportation Research Record. 2010;2156:93-100. doi:http://dx.doi.org/10.3141/2156-11
Lin TW, Lin CY, Hsu WH. Effects of system characteristics on adopting web-based advanced traveller information system: evidence from Taiwan. Promet – Traffic & Transportation. 2014;26(1):53-63. doi:http://dx.doi.org/10.7307/ptt.v26i1.1224
Jou RC, Chen CC, Ke JC. The influences of evaluation changes from different world-of-mouth channels on the acceptance intention of ETC policy by highway users in Taiwan. Paper presented at: 12th World Conference on Transport Research; 2010 July 11-15; Lisbon, Portugal.
Meesilapawikkai W, Suksawang P, Naenna T. Factors affecting the adoption of electronic toll collection technology. In: Blecker T, editors. Pioneering supply chain design: a comprehensive insight into emerging trends, technologies and applications. Lohmar: Josef Eul Verlag. 2012; p. 161-178.
Vlassenroot S, Brookhuis K, Marchau V, Witlox F. Towards defining a unified concept for the acceptability of intelligent transport systems (ITS): a conceptual analysis based on the case of intelligent speed adaptation (ISA). Transportation Research Part F: Traffic Psychology and Behaviour. 2010;13(3):164-178. doi: 10.1016/j.trf2010.02.001
Veiga Simão J. Impacts of advanced travel information systems on travel behaviour: Smartmoov’ case study [PhD thesis]. Torino, institutional repository of the Politecnico di Torino; 2014. doi:10.6092/polito/porto/2543412
Chen CD, Fan YW, Farn CK. Predicting electronic toll collection service adoption: an integration of the technology acceptance model and the theory of planned behavior. Transportation Research Part C: Emerging Technologies. 2007;15(5):300-311. doi: 10.1016/j.trc.2007.04.004
Taylor S, Todd P. Decomposition and crossover effects in the theory of planned behaviour: a study of consumer adoption intentions. International Journal Research in Marketing. 1995;12(2):137-155. doi:10.1016/0167-8116(94)00019-K
Hsu MH, Chiu CM. Predicting electronic service continuance with a decomposed theory of planned behaviour. Behaviour and Information Technology. 2004;23(5):359-373. doi:10.1080/01449290410001669969
Shih YY, Fang K. The use of a decomposed theory of planned behavior to study Internet banking in Taiwan. Internet Research. 2004;14(3):213-223. doi:http://dx.doi.org/10.1108/10662240410542643
Mathieson K. Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research. 1991;2(3):173-191. doi:http://dx.doi.org/10.1287/isre.2.3.173
Ajzen I. The theory of planned behaviour. Organizational Behavior and Human Decision Processes. 1991;50(2):179-211. doi:10.1016/0749-5978(91)90020-T
Burnkrant RE, Page TJ. The structure and antecedents of the normative and attitudinal components of Fishbein’s theory of reasoned action. Journal of Experimental Social Psychology. 1988;24(1):66-87. doi:10.1016/0022-1031(88)90044-3
Oliver RL, Bearden WO. Disconfirmation processes and consumer evaluations in product usage. Journal of Business Research. 1985;13(3):235-246. doi: 10.1016/0148-2963(85)90029-3
Rogers EM. Diffusion of innovations. 2nd ed. New York: The Free Press; 1983.
Rogers EM. Diffusion of innovations. 5th ed. New York: The Free Press; 2003.
Davis FD, Bagozzi RP, Warshaw PR. User acceptance of computer technology: a comparison of two theoretical models. Management Science. 1989;35(8):982-1003. doi: http://dx.doi.org/10.1287/mnsc.35.8.982
Moore GC, Benbasat I. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research. 1991;2(3):192-222. doi:http://dx.doi.org/10.1287/isre.2.3.192
Watson RT, Berthon P, Pitt LF, Zinkhan GM. Electronic commerce: the strategic perspective. Dryden Press; 2000.
Bhattancherjee A. Acceptance of e-commerce services: the case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans. 2000;30(4):411-420. doi:10.1109/3468.852435
Gwinner KP, Grelmer DD, Bitner MJ. Relational benefits in services industries: the customer’s perspective. Journal of Academy of Marketing Science. 1998;26(2):101-114. doi: 10.1177/0092070398262002
Garbarino E, Johnson MS. The different roles of satisfaction, trust and commitment in customer relationships. Journal of Marketing. 1999;63(2):70-87. doi:10.2307/1251946
Singh J, Sirdeshmukh D. Agency and trust mechanisms in relational exchanges. Journal of the Academy of Marketing Science. 2000;28(1):150-167. doi:10.1177/0092070300281014
Cronin JJ, Brady MK, Hult GTM. Assessing the effects of quality, value and customer satisfaction on consumer behavioural intentions in service environments. Journal of Retailing. 2000;76(2):193-218. doi:10.1016/S00224359(00)00028-2
Bolton RN, Drew JH. A longitudinal analysis of the impact of service changes on customer attitudes. Journal of Marketing. 1991;55(1):1-9. doi:10.2307/1252199
Hutchinson J, Lai F, Wang Y. Understanding the relationships of quality, value, equity, satisfaction, and behavioural intentions among golf travellers. Tourism Management. 2009;30(2):298-308. doi:10.1016/j.tourman.2008.07.010
Zuker LG. Production of trust: institutional sources of economic structure. Research in Organizational Behaviour. 1986;8:53-111.
Novak TP, Hoffman DL, Yung YF. Measuring the customer experience in online environments: a structural modelling approach. Marketing Science. 1999;19(1):22-42. doi:http://dx.doi.org/10.1287/mksc.19.1.22.15184
Yoon SJ. The antecedents and consequences of trust in online-purchase decisions. Journal of Interactive Marketing. 2002;16(2):47-63. doi:10.1002/dir.10008
Awad NF, Ragowsky A. Establishing trust in electronic commerce through online word of mouth: an examination across genders. Journal of Management Information Systems, 2008;24(4):101-121. doi:10.2753/MIS0742-1222240404
Aaker DA. Measuring brand equity and across product and markets. California Management Review. 1996;38(3):102-120. doi:10.2307/41165845
Ajzen I. Perceived behavioural control, self-efficacy, locus of control, and the theory of planned behaviour. Journal of Applied Social Psychology. 2002;32(4):665-683. doi:10.1111/j.1559-1816.2002.tb00236.x
Zeithaml VA, Bitner MJ. Service marketing: integrating customer focus across the firm. 2nd ed. Boston: Mc-Graw Hill; 2000.
Anderson EW, Fornell C, Mazvancheryl SK. Customer satisfaction and shareholder value. Journal of Marketing. 2004;68(4):172-185. doi:http://dx.doi.org/10.1509/jmkg.68.4.172.42723
McKnight DH, Kacmar CJ, Choudhury V. Shifting factors and the ineffectiveness of third party assurance seals: a two-stage model of initial trust in a web business. Electronic Markets. 2004;14(3):252-266. doi:10.108/1019678042000245263
Hu LT, Bentler PM, Kano Y. Can test statistics in covariance structure analysis be trusted. Psychological Bulletin. 1992;112(2):351-362. doi:http://dx.doi.org/10.1037/0033-2909.112.2.351
Bagozzi RP, Yi Y. On the evaluation of structural equation models. Journal of the Academy of Marketing Science. 1988;16(1):74-94. doi:10.1007/BF02723327
Fornell C, Lacrker DF. Evaluating structural equation models with unobservable and measurement errors. Journal of Marketing Research. 1981;18(1):39-50. doi:10.2307/3151312
Hair JF, Anderson RE, Tatham RL, Black WC. Multivariate data analysis. 5th ed. New Jersey: Prentice-Hall International; 1998.
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