The Analysis of the Causal Factors of Consumers’ Intension to Choose Online Retail Channel

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Kedwadee Sombultawee
Phattarapron Weeraphattarawanich


This study aims to examine the consumers’ intention to choose online retail channel, focuses on the quality of the online store consisting of system quality, information quality and service quality which will result in consumers' perceived behavioral control and perceived risk. Also, this study examines the influence of online channel price advantage affecting online channel selection intention. The empirical analysis through the survey of Thai consumers between the ages of 18 - 36 who have experienced buying products online. Data were collected by using online questionnaires and data analyzed using Structural Equation Model (SEM). The result shows that online stores with quality system and information positively effect on consumers' perceived behavioral control. Furthermore, customers' perceived behavioral control positively impacts on the intention of choosing the online stores. We hope that the results of this study will guide entrepreneurs or online channel managers to implement in planning the structure for online channel development leading to increase the competitiveness.


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Abad, P. L., & Jaggi, C. K. (2003). A joint approach for setting unit price and the length of the credit period for a seller when end demand is price sensitive. International Journal of Production Economics, 83(2), 115-122.

Ashman, R., & Vazquez, D. (2012). Simulating attachment to pure-play fashion retailers.

International Journal of Retail & Distribution Management, 40(12), 975-996.

Awad, N. F., & Krishnan, M. S. (2006). The personalization privacy paradox: An empirical evaluation of information transparency and the willingness to be profiled online for personalization. MIS Quarterly, 30(1), 13-28.

Bank of Thailand. (2018). อัตราค่าธรรมเนียมเปรียบเทียบ. Retrieved from

Bank of Thailand. (2019). จับชีพจร E-commerce ด้วยข้อมูล Google Search. Retrieved from -_160._160.pdf

Beldona, S., Morrison, A. M., & O’Learyc, J. (2005). Online shopping motivations and pleasure travel products: a correspondence analysis. Tourism Management, 26(4), 561-570.

Berry, L. L., Seiders, K., & Grewal, D. (2002). Understanding service convenience. Journal of Marketing, 66(3), 1-17.

Bhatnagar, A., Misra, S., & Rao, R. (2000). On risk, convenience, and Internet shopping behavior. Communications of the ACM, 43(11), 98-105.

Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.

Bradburn, N. M., Rips, L. J., & Shevell S. K. (1987). Answering autobiographical questions: the impact of memory and inference on surveys. Science, 236(4798), 157-161.

Chan, T. K., Cheung, C. M., & Lee, Z. W. (2017). The state of online impulse-buying research: A literature analysis. Information & Management, 54(2), 204-217.

Chang, H. H., & Chen, S. W. (2008). The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator. Online Information Review, 32(6), 818-841.

Collier, J. E., & Sherrell, D. L. (2010). Examining the influence of control and convenience in a self-service setting. Journal of the Academy of Marketing Science, 38(4), 490–509.

DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.

Diamantopoulos, A., & Siguaw, J. A. (2000). Introduction to LISREL: A guide for the uninitiated. London: Sage

Doll, W. J., & Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly, 12(2), 258–274.

Electronic Transactions Development Agency (ETDA). (2018). Value of e-Commerce Survey in Thailand 2018. Retrieved from

Euromonitor. (2020). COUNTRY REPORT: E-Commerce in Thailand. Retrieved from

Fassnacht, M., & Unterhuber, S. (2016). Consumer response to online/offline price differentiation. Journal of Retailing and Consumer Services, 28, 137-148.

Fornell, C., & 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.

GlobalWebIndex. (2019). Global Digital 2019 reports. Retrieved from

Gong, W., Maddox. L. M., & Stump, R. L. (2012). Attitudes toward online shopping: A comparison of online consumers in China and the US. International Journal of EBusiness Development, 2(1), 28– 35.

Grabner-Kraeuter, S. (2002). The role of consumers' trust in online-shopping. Journal of Business Ethics, 39(1), 43–50.

Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C., (1998). Multivariate data analysis (5th ed.). New Jersey: Prentice Hall, Upper Saddle River.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E., (2010). Multivariate data analysis: A global perspectives. NJ: Pearson Education, International.

Hong, I. B. (2015). Understanding the consumer's online merchant selection process: The roles of product involvement, perceived risk, and trust expectation. International Journal of Information Management, 35(3), 322-336.

Hsiu, F. L., & Gwo, H. T. (2014). Contextual factors affecting knowledge management diffusion in SMEs. Industrial Management & Data Systems, 114(9), 1415-1437.

Jarvenpaa, S. L., & Todd P. A., (1997). Consumer reactions to electronic shopping on the WWW. International Journal of Electronic Commerce, 1(2), 59–88.

Jiang, L., Yang, Z., Jun, M. (2013). Measuring consumer perceptions of online shopping convenience. Journal of Service Management, 24(2), 191-214.

K SME Analysis. (2018). ค้าปลีกปรับตัวไวรอดได้ในยุค Online ขยายตัว. Retrieved from

Kang, H., Hahn, M., Fortin, D. R., Hyun, Y. J., & Eom, Y. (2006). Effects of perceived behavioral control on the consumer usage intention of e- coupons. Psychology & Marketing, 23(10), 841-864.

Kidwell, B., & Jewell, R. D. (2003). An examination of perceived behavioral control: internal and external influences on intention. Psychology and Marketing, 20(7), 625-642.

Kim, D. J., Ferrin, D. L., & Rao, R. H. (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.

Kollmann, T., Kuckertz, A., & Kayser, I. (2012). Cannibalization or synergy? Consumers' channel selection in online–offline multichannel systems. Journal of Retailing and Consumer Services, 19(2), 186-194.

Koufaris M., Kambil, A., & Labarbera, P. A., (2001). Consumer behavior in Web-based commerce: an empirical study. International Journal of Electronic Commerce, 6(2), 115–138.

Laosethakul, K., & Boulton, W. (2007). Critical success factors for e-commerce in Thailand: cultural and infrastructural influences. The Electronic Journal on Information Systems in Developing Countries, 30(1), 1-22.

Lee, J. A., & Kacen, J. J. (2008). Cultural influences on consumer satisfaction with impulse and planned purchase decisions. Journal of Business Research, 61(3), 265-272.

Lewis, R. C., & Shoemaker, S. (1997). Price-sensitivity measurement: a tool for the hospitality industry. Cornell Hotel and Restaurant Administration Quarterly, 38(2), 44-54.

Lichtenstein, D. R., Netemeyer, R. G., & Burton, S. (1990). Distinguishing coupon proneness from value consciousness: An acquisition-transaction utility theory perspective. Journal of Marketing, 54(3), 54-67.

Lynch Jr., J. G., & Ariely, D. (2000). Wine online: search costs affect competition on price, quality, and distribution. Marketing Science, 19(1), 83-103.

Martin, S. S., Camarero, C., & José, R. S. (2011). Does involvement matter in online shopping satisfaction and trust? Psychology & Marketing, 28(2), 145-167.

Moeller, S., Fassnacht, M., & Ettinger, A. (2009). Retaining Customers with Shopping Convenience. Journal of Relationship Marketing, 8(4), 313-329.

Molla, A., & Licker, P. (2001). E-commerce systems success: An attempt to extend and respecify the Delone and MaClean model of IS success. Journal of Electronic Commerce Research, 2(4), 131-141.

Nguyen, D. H., Leeuw, S., & Dullaert, W. E. (2016). Consumer Behaviour and Order Fulfilment in Online Retailing: A Systematic Review. International Journal of Management Reviews, 20(2), 1-22.

Osborne, J. W., & Costello, A. B. (2004). Sample size and subject to item ratio in principal components analysis. Practical Assessment, Research, and Evaluation, 9(11), 1-9.

Otim, S., & Grover, V., (2006). An empirical study on web-based services and customer loyalty. European Journal of Information Systems, 15(6). 527-541.

Seiders, K., Berry, L. L., & Gresham, L. (2000). Attention retailers: how convenient is your convenience strategy? Sloan Management Review, 49(3), 79-90.

Sherman, E., Mathur, A., & Smith R.B. (1997). Store environment and consumer purchase behavior: Mediating role of consumer emotions. Psychology and Marketing, 14(4), 361-378.

Thirumalai, S., & Sinha, K. K. (2005). Customer satisfaction with order fulfillment in retail supply chains: implications of product type in electronic B2C transactions. Journal of Operations Management, 23(3/4), 291-303.

United Nations Conference on Trade and Development (UNCTAD). (2002). E-commerce and Development Report, (UNCTAD/SDTE/ECB/2) (2002). Retrieved from

United Nations Conference on Trade and Development (UNCTAD). (2019). UNCTAD B2C E-COMMERCE INDEX 2019, (TN/UNCTAD/ICT4D/14) (2019). Retrieved from

Verhagen, T., & Van Dolen, W. (2009). Online purchase intentions: A multi-channel store image perspective. Information & Management, 46(2), 77-82.

Wang, Y. S. (2008). Assessing e-commerce systems success: A respecification and validation of the Delone and Mclean model of IS success. Information Systems Journal, 18(5), 529–557.

Wang, Y., & Hazen, B. T. (2016). Consumer product knowledge and intention to purchase remanufactured products. International Journal of Production Economics, 181(B), 460-469.

Wu, J. W. (2007). Extending the DeLone and McLean Information Systems Success Model for e-commerce website success (Master's thesis). University of Nevada, Las Vegas.

Xu, X., & Jackson, L. E. (2018). Examining customer channel selection intention in the onmi - channel retail environment. International Journal of Production Economics, 208, 434-445.

Yang, Z., & Jun, M. (2008). Consumer perception of e-service quality: From internet purchaser and non-purchaser perspective. Journal of Business Strategies, 25(2), 59–84.