References
- Baldus, B. J., Voorhees, C., & Calantone, R. (2015). Online brand community engagement: Scale development and validation. Journal of Business Research, 68(5), 978-985. doi:10.1016/j.jbusres.2014.09.035
- Churchill, G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64-73. doi:10.2307/3150876
- Conway, J. M., & Huffcutt, A. I. (2003). A review and evaluation of exploratory factor analysis practices in organizational research. Organizational Research Methods, 6(2), 147-168. doi:10.1177/1094428103-251541
- Csikszentmihalyi, M. (1991). Flow: The psychology of optimal experience. New York: Harper Perennial.
- Fan, Q., Lee, J. Y., & Kim, J. I. (2013). The impact of web site quality on flow-related online shopping behaviors in C2C e-marketplaces: A crossnational study. Managing Service Quality: An International Journal, 23(5), 364-387. doi:10.1108/MSQ-11-2012-0150
- Farrell, A. M. (2010). Insufficient discriminant validity:A comment on Bove, Pervan, Beatty, and Shiu (2009). Journal of Business Research, 63(3), 324-327. doi:10.1016/j.jbusres.2009.05.003
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. doi:10.2307/3151312
- Gao, J., Zhang, C., Wang, K., & Ba, S. (2012). Understanding online purchase decision making: The effects of unconscious thought, information quality, and information quantity. Decision Support Systems, 53(4), 772-781. doi:10.1016/j.dss.2012.05.011
- Gerbing, D. W., & Anderson, J. C. (1988). An updated paradigm for scale development incorporating unidimensionality and its assessment. Journal of Marketing Research, 25(2), 186-192. doi:10.2307/3172650
- Guo, Y. M., & Poole, M. S. (2009). Antecedents of flow in online shopping: A test of alternative models. Information Systems Journal, 19(4), 369-390. doi:10.1111/j.1365-2575.2007.00292.x
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Prentice Hall.
- Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments:Conceptual foundations. Journal of Marketing, 60(3), 50-68. doi:10.2307/1251841
- Hoffman, D. L., & Novak, T. P. (2009). Flow online:Lessons learned and future prospects. Journal of Interactive Marketing, 23(1), 23-34. doi:10.1016/j.intmar.2008.10.003
- Hsu, C.-L., Wu, C.-C., & Chen, M.-C. (2013). An empirical analysis of the antecedents of e-satisfaction and e-loyalty: Focusing on the role of flow and its antecedents. Information Systems and e-Business Management, 11(2), 287-311. doi:10.1007/s10257-012-0194-8
- Hu, L.-t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. doi:10.1080/10705519909540118
- Jackson, S. A., & Marsh, H. W. (1996). Development and validation of a scale to measure optimal experience:The flow state scale. Journal of Sport & Exercise Psychology, 18(1), 17-35. https://doi.org/10.1123/jsep.18.1.17
- Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36. doi:10.1007/bf0229-1575
- Klein, L. R. (2003). Creating virtual product experiences:The role of telepresence. Journal of Interactive Marketing, 17(1), 41-55. doi:10.1002/dir.10046
- Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York:Guilford publications.
- Lee, Y. J., & Rhee, Y. J. (2014). A study on the effects of the characteristics of fashion brand's mobile SNS on brand attachment and brand loyalty. The Research Journal of the Costume Culture, 22(5), 848-861. doi:10.7741/rjcc.2014.22.5.848
- Li, D., & Browne, G. J. (2006). The role of need for cognition and mood in online flow experience. Journal of Computer Information Systems, 46(3), 11-17.
- Lian, J.-W., & Yen, D. C. (2013). To buy or not to buy experience goods online: Perspective of innovation adoption barriers. Computers in Human Behavior, 29(3), 665-672. doi:10.1016/j.chb.2012.10.009
- Locke, E. A., & Latham, G. P. (2002). Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist, 57(9), 705-717. doi:10.1037/0003-066X.57.9.705
- Marsh, H. W., Hau, K.-T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler's (1999) findings. Structural Equation Modeling: A Multidisciplinary Journal, 11(3), 320-341. doi:10.1207/s15328007sem1103_2
- Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). Thousand Oaks, CA: Sage Publications.
- Mitchell, V.-W., & Papavassiliou, V. (1999). Marketing causes and implications of consumer confusion. Journal of Product & Brand Management, 8(4), 319-342. doi:10.1108/10610429910284300
- Mitchell, V.-W., Walsh, G., & Yamin, M. (2005). Towards a conceptual model of consumer confusion. Advances in Consumer Research, 32, 143-150.
- Nah, F. F.-H., Eschenbrenner, B., & DeWester, D. (2011). Enhancing brand equity through flow and telepresence: A comparison of 2D and 3D virtual worlds. MIS Quarterly, 35(3), 731-748. https://doi.org/10.2307/23042806
- Nepomuceno, M. V., Laroche, M., & Richard, M.-O. (2014). How to reduce perceived risk when buying online: The interactions between intangibility, product knowledge, brand familiarity, privacy and security concerns. Journal of Retailing and Consumer Services, 21(4), 619-629. doi:10.1016/j.jretconser.2013.11.006
- Novak, T. P., Hoffman, D. L., & Yung, Y.-F. (2000). Measuring the customer experience in online environments:A structural modeling approach. Marketing Science, 19(1), 22-42. doi:10.1287/mksc.19.1.22.15184
- Nunnally, J. C. (1978). Psychometric methods (2nd ed.). New York: McGraw-Hill.
- Pappas, N. (2015). Effect of marketing activities, benefits, risks, confusion due to over-choice, price, quality and consumer trust on online tourism purchasing. Journal of Marketing Communications, 1-24. doi:10.1080/13527266.2015.1061037
- Park, E. J., Kim, E. Y., Funches, V. M., & Foxx, W. (2012). Apparel product attributes, web browsing, and e-impulse buying on shopping websites. Journal of Business Research, 65(11), 1583-1589. doi:10.1016/j.jbusres.2011.02.043
- Roman, S., & Riquelme, I. P. (2014). Personal determinants of online shopping frustration and its influence on consumers' positive word of mouth. Journal of Electronic Commerce Research, 15(2), 87-103.
- Rose, S., Clark, M., Samouel, P., & Hair, N. (2012). Online customer experience in e-retailing: An empirical model of antecedents and outcomes. Journal of Retailing, 88(2), 308-322. doi:10.1016/j.jretai.2012.03.001
- Schweizer, M., Kotouc, A. J., & Wagner, T. (2006). Scale development for consumer confusion. Advances in Consumer Research, 33, 184-190.
- Shim, S. I. (2016). Themes of perceived challenge in online shopping and their difference between Korean and American consumers: A cross-cultural study. Korea Science & Art Forum, 23, 203-215. doi:10.17548/ksaf.2016.03.23.203
- Shim, S. I., Forsythe, S., & Kwon, W.-S. (2015). Impact of online flow on brand experience and loyalty. Journal of Electronic Commerce Research, 16(1), 56-71.
- Shim, S. I., & Kwon, W.-S. (2016). Online flow:Effects of perceived challenges measured before and after a shopping task. Fashion, Industry and Education, 14(1), 10-17. doi:10.7741/fie.2016.14.1.010
- Solomon, M. R. (2014). Consumer behavior: Buying, having, and being (11th ed.). Engelwood Cliffs, NJ:Prentice Hall.
- Suresh, K. P. (2011). An overview of randomization techniques: An unbiased assessment of outcome in clinical research. Journal of Human Reproductive Sciences, 4(1), 8-11. doi:10.4103/0974-1208.82352
- Varma Citrin, A., Sprott, D. E., Silverman, S. N., & Stem, D. E. (2000). Adoption of internet shopping:The role of consumer innovativeness. Industrial Management & Data Systems, 100(7), 294-300. doi:10.1108/02635570010304806
- Voelkl, J. E., & Ellis, G. D. (1998). Measuring flow experiences in daily life: An examination of the items used to measure challenge and skill. Journal of Leisure Research, 30(3), 380-389. https://doi.org/10.1080/00222216.1998.11949839
- Walsh, G., & Mitchell, V.-W. (2010). The effect of consumer confusion proneness on word of mouth, trust, and customer satisfaction. European Journal of Marketing, 44(6), 838-859. doi:10.1108/03090-561011032739
- Wang, C.-C., & Hsu, M.-C. (2013, June). Flow experience and challenge-skill balance in e-learning. Paper presented at the Pacific Asia Conference on Information Systems, Jeju Island, Korea.
- Wang, L. C., & Hsiao, D. F. (2012). Antecedents of flow in retail store shopping. Journal of Retailing and Consumer Services, 19(4), 381-389. doi:10.1016/j.jretconser.2012.03.002
- Webster, J., Trevino, L. K., & Ryan, L. (1993). The dimensionality and correlates of flow in humancomputer interactions. Computers in Human Behavior, 9(4), 411-426. doi:10.1016/0747-5632(93)90032-N
- Yu, U.-J., Lee, H.-H., & Damhorst, M. L. (2012). Exploring multidimensions of product performance risk in the online apparel shopping context: Visual, tactile, and trial risks. Clothing and Textiles Research Journal, 30(4), 251-266. doi:10.1177/088-7302x12462059