1 |
Lohse, G. L., & Spiller, P. (1999). Internet retail store design: How the user interface influences traffic and sales. Journal of Computer-Mediated Communication, 5(2). Retrieved May 28, 2015, from http://onlinelibrary.wiley.com/doi/10.1111/j.1083-6101.1999.tb00339.x/full
|
2 |
Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. Cambridge, MA: The MIT Press.
|
3 |
Mittal, B. (1989). Measuring purchase-decision involvement. Psychology and Marketing, 6(2), 147-162. doi:10.1002/mar.4220060206
DOI
|
4 |
Monroe, K. B., & Guiltinan, J. P. (1975). A path-analytic exploration of retail patronage influences. Journal of Consumer Research, 2(1), 19-28. doi:10.1086/208612
DOI
|
5 |
Mudambi, S. M., & Schuff, D. (2010). What makes a helpful online review? A study of customer reviews on Amazon. com. MIS Quarterly, 34(1), 185-200.
DOI
|
6 |
Mummalaneni, V. (2005). An empirical investigation of web site characteristics, consumer emotional states and online shopping behaviors. Journal of Business Research, 58(4), 526-532. doi:10.1016/S0148-2963(03)00143-7
DOI
|
7 |
Pan, Y., & Zinkhan, G. M. (2006). Determinants of retail patronage: A meta-analytical perspective. Journal of Retailing, 82(3), 229-243. doi:10.1016/j.jretai.2005.11.008
DOI
|
8 |
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191-204. doi:10.1016/S0378-7206(01)00143-4
DOI
|
9 |
Babin, B. J., Hardesty, D. M., & Suter, T. A. (2003). Color and shopping intentions: The intervening effect of price fairness and perceived affect. Journal of Business Research, 56(7), 541-551. doi:10.1016/S0148-2963(01)00246-6
DOI
|
10 |
Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530-545. doi:10.1287/mnsc.29.5.530
DOI
|
11 |
Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum Associates.
|
12 |
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. doi:10.1108/14684520810923953
DOI
|
13 |
Cheung, C. M. K., Lee, M. K. O., & Rabjohn, N. (2008). The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities. Internet Research, 18(3), 229-247. doi:10.1108/10662240810883290
DOI
|
14 |
Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009). Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce, 13(4), 9-38. doi:10.2753/JEC1086-4415130402
DOI
|
15 |
Corbitt, B. J., Thanasankit, T., & Yi, H. (2003). Trust and e-commerce: A study of consumer perceptions. Electronic Commerce Research and Applications, 2(3), 203-215. doi:10.1016/S1567-4223(03)00024-3
DOI
|
16 |
Petty, R. E., & Cacioppo, J. T. (1984). The effects of involvement on responses to argument quantity and quality: Central and peripheral routes to persuasion. Journal of Personality and Social Psychology, 46(1), 69-81. doi: 10.1037/0022-3514.46.1.69
DOI
|
17 |
Park, D. H., & Kim, S. (2008). The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews. Electronic Commerce Research and Applications, 7(4), 399-410. doi: 10.1016/j.elerap.2007.12.001
DOI
|
18 |
Park, D. H., & Lee, J. (2008). eWOM overload and its effect on consumer behavioral intention depending on consumer involvement. Electronic Commerce Research and Applications, 7(4), 386-398. doi:10.1016/j.elerap.2007.11.004
DOI
|
19 |
Park, D. H., Lee, J., & Han, I. (2007). The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce, 11(4), 125-148. doi:10.27 53/JEC1086-4415110405
DOI
|
20 |
Retail Everywhere: Omni-Channel Apparel Shopping. (2013, June 17). Lifestyle Monitor. Retrieved May 28, 2015, from http://lifestylemonitor.cottoninc.com/retail-everywhereomni-channel-apparel-shopping
|
21 |
Richard, M. O. (2005). Modeling the impact of internet atmospherics on surfer behavior. Journal of Business Research, 58(12), 1632-1642. doi:10.1016/j.jbusres.2004.07.009
DOI
|
22 |
Schindler, R. M., & Bickart, B. B. (2002). Characteristics of online consumer comments valued for hedonic and utilitarian shopping tasks. In S. M. Broniarczyk & K. Nakamoto (Eds.), Advances in Consumer Research, Vol. 29 (pp. 428-430). Valdosta, GA: Association for Consumer Research.
|
23 |
Eagley, A. H., & Chaiken, S. (2007). The advantages of an inclusive definition of attitude. Social Cognition, 25(5), 582-602. doi:10.1521/soco.2007.25.5.582
DOI
|
24 |
Dabholkar, P. (2006). Factors influencing consumer choice of a "Rating Web Site": An experimental investigation of an online interactive decision aid. Journal of Marketing Theory and Practice, 14(4), 259-273. doi:10.2753/ MTP1069-6679140401
DOI
|
25 |
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. doi:10.2307/249008
DOI
|
26 |
Dizen, M., & Berenbaum, H. (2008). Extreme outcome expectations and affect intensity. Cognition & Emotion, 22 (6), 1130-1148. doi:10.1080/02699930701665010
DOI
|
27 |
Donovan, R. J., & Rossiter, J. R. (1982). Store atmosphere: An environmental psychology approach. Journal of Retailing, 58(1), 34-57.
|
28 |
Donovan, R. J., Rossiter, J. R., Marcoolyn, G., & Nesdale, A. (1994). Store atmosphere and purchasing behavior. Journal of Retailing, 70(3), 283-294. doi:10.1016/0022-4359(94)90037-X
DOI
|
29 |
Eastlick, M. A., & Liu, M. (1997). The Influence of store attitudes and other nonstore shopping patterns on patronage of television shopping programs. Journal of Interactive Marketing, 11(3), 14-24. doi:10.1002/(SICI)1522-7138(199722)11:3<14::AID-DIR4>3.0.CO;2-#
DOI
|
30 |
Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2001). Atmospheric qualities of online retailing: A conceptual model and implications. Journal of Business Research, 54(2), 177-184. doi:10.1016/S0148-2963(99)00087-9
DOI
|
31 |
Shim, S., & Kotsiopulos, A. (1992). Patronage behavior of apparel shopping: Part II. Testing patronage model of consumer behavior. Clothing and Textiles Research Journal, 10(2), 59-64. doi:10.1177/0887302X9201000209
DOI
|
32 |
Schindler, R. M., & Bickart, B. B. (2005). Published word of mouth: Referable, consumer-generated information on the internet. In C. P. Haugtvedt, K. A. Machleit, & R. Yalch (Eds.), Online consumer psychology: Understanding and influencing consumer behavior in the virtual world (1st ed., pp. 35-62). Mahwah, NJ: Lawrence Erlbaum Associates.
|
33 |
Sen, S. (2008). Determinants of consumer trust of virtual word-of-mouth: An observation study from a retail website. The Journal of American Academy of Business, 14 (1), 30-35.
|
34 |
Sher, P. J., & Lee, S. H. (2009). Consumer skepticism and online reviews: An Elaboration Likelihood Model perspective. Social Behavior and Personality: An international Journal, 37(1), 137-144. doi:10.2224/sbp.2009.37.1.137
DOI
|
35 |
South Korea No. 1 in mobile web use. (2012, August 14). eMarketer. Retrieved May 28, 2015, from http://www.emarketer.com/Article/South-Korea-No-1-Mobile-Web-Use/1009262
|
36 |
Spiggle, S., & Sewall, M. A. (1987). A choice sets model of retail selection. Journal of Marketing, 51(2), 97-111. doi:10.2307/1251132
DOI
|
37 |
Srinivasan, S. S., Anderson, R., & Ponnavolu, K. (2002). Customer loyalty in e-commerce: An exploration of its antecedents and consequences. Journal of Retailing, 78 (1), 41-50. doi:10.1016/S0022-4359(01)00065-3
DOI
|
38 |
Statistics Korea. (2012, May 18). 2012년 1/4분기 가계동향 [2012 first quarter Korean household income and expenditure trend]. Statistics Korea. Retrieved July 20, 2013, from http://kostat.go.kr/portal/korea/kor_nw/2/4/1/index.board?bmode=read&aSeq=256098&pageNo=3&rowNum=10&amSeq=&sTarget=&sTxt=
|
39 |
Exaggerate. (n.d.). Merriam-Webster. Retrieved May 27, 2015, from http://www.merriam-webster.com/dictionary/exaggerate
|
40 |
Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology and Marketing, 20(2), 139-150. doi:10.1002/mar.10064
DOI
|
41 |
Flavian, C., Guinaliu, M., & Gurrea, R. (2006). The role played by perceived usability, satisfaction and consumer trust on website loyalty. Information & Management, 43(1), 1-14. doi:10.1016/j.im.2005.01.002
DOI
|
42 |
Gauri, D. K., Bhatnagar, A., & Rao, R. (2008). Role of word of mouth in online store loyalty. Communications of the ACM, 51(3), 89-91. doi:10.1145/1325555.1325572
DOI
|
43 |
Hong, H., & Jin, I. (2011). An exploratory study of important information on consumer reviews in internet shopping. Journal of the Korean Society of Clothing and Textiles, 35(7), 761-774. doi:10.5850/JKSCT.2011.35.7.761
DOI
|
44 |
Grimes, M. (2012, April 10). Nielsen: Global consumers' trust in 'earned' advertising grows in importance. nielsen. Retrieved May 27, 2015, from http://www.nielsen.com/us/en/press-room/2012/nielsen-global-consumers-trust-in-earned-advertising-grows.html
|
45 |
Ha, Y., & Lennon, S. J. (2010). Online visual merchandising (VMD) cues and consumer pleasure and arousal: Purchasing versus browsing situation. Psychology and Marketing, 27(2), 141-165. doi:10.1002/mar.20324
DOI
|
46 |
Hong, H. (2011). Classification of consumer review information based on satisfaction/dissatisfaction with availability/non-availability of information. Journal of the Korean Society of Clothing and Textiles, 35(9), 1099-1111. doi:10.5850/JKSCT.2011.35.9.1099
DOI
|
47 |
Szymanski, D. M., & Hise, R. T. (2000). E-satisfaction: An initial examination. Journal of Retailing, 76(3), 309-322. doi:10.1016/S0022-4359(00)00035-X
DOI
|
48 |
Statistics Korea. (2014, February 25). 2013년 연간 및 4/4분기 전자상거래 및 사이버쇼핑 동향 [2013 and 4th quarter sales trends in electronic commerce and cyber shopping]. Statistics Korea. Retrieved December 9, 2016, from http://kostat.go.kr/portal/korea/kor_nw/2/11/1/index.board?bmode=read&aSeq=311839
|
49 |
Summers, T. A., & Wozniak, P. J. (1990). Discount store patronage preferences of rural and urban woman. Clothing and Textiles Research Journal, 8(3), 1-6. doi:10.1177/0887302X9000800301
DOI
|
50 |
Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: an integrated approach to knowledge adoption. Information Systems Research, 14(1), 47-65. doi:10.1287/isre.14.1.47.14767
DOI
|
51 |
Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model. Information & Management, 41(6), 747-762. doi:10.1016/j.im.2003.08.011
DOI
|
52 |
Wagner, M. (2008, January 31). The power of customer reviews. Internet Retailer. Retrieved May 28, 2015, from http://www.internetretailer.com/2008/01/31/the-power-of-customer-reviews
|
53 |
Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85-102. doi:10.1287/isre.1050.0042
DOI
|
54 |
Kim, J., & Lennon, S. J. (2013). Effects of reputation and website quality on online consumers' emotion, perceived risk and purchase intention: Based on the stimulus-organism-response model. Journal of Research in Interactive Marketing, 7(1), 33-56. doi:10.1108/17505931311316734
DOI
|
55 |
Hu, L., & 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
DOI
|
56 |
Huang, E. (2008). Use and gratification in e-consumers. Internet Research, 18(4), 405-426. doi:10.1108/1066224 0810897817
DOI
|
57 |
Hulland, J., Chow, Y. H., & Lam, S. (1996). Use of causal models in marketing research: A review. International Journal of Research in Marketing, 13(2), 181-197. doi: 10.1016/0167-8116(96)00002-X
DOI
|
58 |
Kim, J. H., & Lennon, S. J. (2010). Information available on a web site: Effects on consumers' shopping outcomes. Journal of Fashion Marketing and Management: An International Journal, 14(2), 247-262. doi:10.1108/13612021011046093
DOI
|
59 |
Wolfinbarger, M., & Gilly, M. C. (2001). Shopping online for freedom, control and fun. California Management Review, 43(2), 34-55. doi:10.2307/41166074
DOI
|
60 |
Yun, Z. S., & Good, L. K. (2007). Developing customer loyalty from e-tail store image attributes. Managing Service Quality: An International Journal, 17(1), 4-22. doi: 10.1108/09604520710720647
DOI
|
61 |
Kim, J. H., Kim, M., & Lennon, S. J. (2009). Effects of web site atmospherics on consumer responses: Music and product presentation. Direct Marketing: An International Journal, 3(1), 4-19. doi:10.1108/17505930910945705
DOI
|
62 |
Kline, R. B. (2004). Principles and practice of structural equation modeling (2nd ed.). New York, NY: Guilford Press.
|
63 |
Koernig, S. K. (2003). E-scapes: The electronic physical environment and service tangibility. Psychology and Marketing, 20(2), 151-167. doi:10.1002/mar.10065
DOI
|
64 |
Lee, E. J., & Shim, W. S. (2007). A study on the behavior characteristics of point of purchase, post purchase and trust evaluation of internet shopping afternotes. The e-Business Studies, 8(3), 155-170.
|
65 |
Koo, S. M., & Ju, S. H. (2010). The interactional effects of atmospherics and perceptual curiosity on emotions and online shopping intention. Computers in Human Behavior, 26(3), 377-388. doi.org/10.1016/j.chb.2009.11.009
DOI
|
66 |
Korea Internet and Security Agency. (2013, December). Survey on the internet usage. KISA ISIS. Retrieved August 4, 2014, from http://isis.kisa.or.kr/board/?pageId=060100&bbsId=7&itemId=800&pageIndex=
|
67 |
Korgaonkar, P. K., Lund, D., & Price, B. (1985). A structural equation approach toward examination of store attitude and store patronage behavior. Journal of Retailing, 61 (2), 39-60.
|
68 |
Lee, Y. W., Strong, D. M., Kahn, B. K., & Wang, R. Y. (2002). AIMQ: a methodology for information quality assessment. Information & Management, 40(2), 133-146. doi: 10.1016/S0378-7206(02)00043-5
DOI
|
69 |
Lindner, M. (2016, January 29). Online sales will reach $523 billion by 2020 in the U.S. Internet Retailer. Retrieved December 9, 2016, from https://www.internetretailer.com/2016/01/29/online-sales-will-reach-523-billion-2020-us
|