1 |
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modelling in practice: A review and recommended two-stage approach. Psychological Bulletin, 103(3), 411-423.
DOI
|
2 |
Anitsal, I., & Schumann, D. W. (2007). Toward a conceptualization of customer productivity: The customer's perspective on transforming customer labor into customer outcomes using technology-based self-service options. Journal of Marketing Theory and Practice, 15(4), 349-363. doi:10.2753/MTP1069-6679150405
DOI
|
3 |
Anselmsson, J. (2001). Customer-perceived service quality and technology-based self-service. Doctoral dissertation, Lurid University. Lund, Sweden: Lund Business Press.
|
4 |
Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information System, 8(4), 244-254.
DOI
|
5 |
Blut, M., Wang, C., & Schoefer, K. (2016). Factors influencing the acceptance of self-service technologies: A meta-analysis. Journal of Service Research, 19(4), 396-416. doi:10.1177/1094670516662352
DOI
|
6 |
Chae, J. M. (2010). The extended technology acceptance model according to smart clothing types. Korean Journal of Human Ecology, 19(2), 375-387. doi:10.5934/KJHE.2010.19.2.375
DOI
|
7 |
Dabholkar, P. A., & Bagozzi, R. P. (2002). An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors. Journal of the Academy of Marketing Science, 30(3), 184-201. doi:10.1177/0092070302303001
DOI
|
8 |
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
|
9 |
Elliott, K. M., Hall, M. C., & Meng, J. G. (2013). Consumers' intention to use self-scanning technology: The role of technology readiness and perceptions toward self-service technology. Academy of Marketing Studies Journal, 17(1), 129-143.
|
10 |
Evanschitzky, H., Iyer, G. R., Pillai, K. G., Kenning, P., & Schutte, R. (2015). Consumer trial, continuous use, and economic benefits of a retail service innovation: The case of the personal shopping assistant. Journal of Product Innovation Management, 32(3), 459-475. doi:10.1111/jpim.12241
DOI
|
11 |
Fernandes, T., & Pedroso, R. (2017). The effect of selfcheckout quality on customer satisfaction and repatronage in a retail context. Service Business, 11(1), 69-92. doi:10.1007/s11628-016-0302-9
DOI
|
12 |
Gelbrich, K., & Sattler, B. (2014). Anxiety, crowding, and time pressure in public self-service technology acceptance. Journal of Services Marketing, 28(1), 82-94. doi:10.1108/JSM-02-2012-0051
DOI
|
13 |
Han, H. (2019). Influencing factors on purchase intention for smart healthcare clothing by gender and age: Focused on TAM, clothing attributes, healthlifestyle, and fashion innovativeness. The Research Journal of the Costume Culture, 27(6), 615-631. doi:10.29049/rjcc.2019.27.6.615
DOI
|
14 |
Han, S.-L., Shim, H.-S., & Shin, Y.-M. (2014). Effects of technology readiness and consumer involvement on the adoption process of innovative products. Journal of Product Research, 32(3), 91-109. doi:10.36345/kacst.2014.32.3.007
DOI
|
15 |
Jeong, S. W., & Roh, J.-S. (2016). A study on acceptance of smart fashion products: An empirical test of an extended technology acceptance model. The Research Journal of the Costume Culture, 24(2), 263-272. doi:10.7741/rjcc.2016.24.2.263
DOI
|
16 |
Kim, M., & Shin, S. (2015). Effects of mobile fashion shopping characteristics, perceived interactivity, and perceived usefulness on purchase intention. The Research Journal of the Costume Culture, 23(2), 228-241. doi:10.7741/rjcc.2015.23.2.228
DOI
|
17 |
Kim, J. H., & Park, J. W. (2019). The Effect of airport self-service characteristics on passengers' technology acceptance and behavioral intention. The Journal of Distribution Science, 17(5), 29-37. doi:10.15722/jds.17.5.201905.29
DOI
|
18 |
Kim, M., & Qu, H. (2014). Travelers' behavioral intention toward hotel self-service kiosks usage. International Journal of Contemporary Hospitality Management, 26(2), 225-245. doi:10.1108/IJCHM-09-2012-0165
DOI
|
19 |
Kim, M., & Shin, S. (2013). Effects of perceived interactivity on purchase intention of mobile fashion shopping malls. The Research Journal of the Costume Culture, 21(6), 891-906. doi:10.7741/rjcc.2013.21.6.891
DOI
|
20 |
Kim, S., & Lee, Y. (2019). Effect of self-service technology service quality on cognitive response and purchase intention in fashion retail store. Journal of the Korean Society of Clothing and Textiles, 43(5), 634-648. doi:10.5850/JKSCT.2019.43.5.634
DOI
|
21 |
Kim, T., Kim, M. C., Moon, G., & Chang, K. (2014). Technology-based self-service and its impact on customer productivity. Services Marketing Quarterly, 35(3), 255-269. doi:10.1080/15332969.2014.916145
DOI
|
22 |
Ko, A., & Kim, S. (2014). A study on fashion brand's SNS marketing: Based on technology acceptance model (TAM). The Research Journal of the Costume Culture, 22(6), 1011-1027. doi:10.7741/rjcc.2014.22.6.1011
DOI
|
23 |
Lee, H. J., & Yang, K. (2013). Interpersonal service quality, self-service technology (SST) service quality, and retail patronage. Journal of Retailing and Consumer Services, 20(1), 51-57. doi:10.1016/j.jretconser.2012.10.005
DOI
|
24 |
McKenzie, B., Burt, S., & Dukeov, I. (2018). Introduction to the special issue: Technology in retailing. Baltic Journal of Management, 13(2), 146-151. doi:10.1108/BJM-01-2018-0032
DOI
|
25 |
Lee, H. J., Cho, H. J., Xu, W., & Fairhurst, A. (2010). The influence of consumer traits and demographics on intention to use retail self-service checkouts. Marketing Intelligence & Planning, 28(1), 46-58. doi: 10.1108/02634501011014606
DOI
|
26 |
Lee, H. J., Fairhurst, A., & Cho, H. J. (2013). Gender differences in consumer evaluations of service quality: Self-service kiosks in retail. The Service Industries Journal, 33(2), 248-265. doi:10.1080/02642069.2011.614346
DOI
|
27 |
Lee, H., & Leonas, K. K. (2020). Millennials' intention to use self-checkout technology in different fashion retail formats: Perceived benefits and risks. Clothing and Textiles Research Journal, Advanced online publication. doi:10.1177/0887302X20926577
|
28 |
Meuter, M. L., Bitner, M. J., Ostrom, A. L., & Brown, S. W. (2005). Choosing among alternative service delivery modes: An investigation of customer trial of self-service technologies. Journal of Marketing, 69(2), 61-83. doi:10.1509/jmkg.69.2.61.60759
DOI
|
29 |
Meuter, M. L., Ostrom, A. L., Bitner, M. J., & Roundtree, R. (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research, 56(11), 899-906. doi:10.1016/S0148-2963(01)00276-4
DOI
|
30 |
Mogg, T. (2017, August 3). Uniqlo wants you to buy clothes from a vending machine. Digitaltrends, Retrieved August 5, 2020, from https://www.digitaltrends.com/cool-tech/uniqlo-clothes-vending-machine/
|
31 |
Mowen, J. C. (2000). The 3M model of motivation and personality: Theory and empirical applications to consumer behavior. Boston, MA: Kluwer.
|
32 |
Shih, H. P. (2004). Extended technology acceptance model of Internet utilization behavior. Information & Management, 41(6), 719-729. doi:10.1016/j.im.2003.08.009
DOI
|
33 |
Mroz, B. (2018, June 1). How experiential retail is disrupting an industry. DNS Industries, Retrieved May 20, 2020, from https://dnsdisplay.com/how-experiential-retail-is-disrupting-an-industry/
|
34 |
Parasuraman, A. (2002). Service quality and productivity: A synergistic perspective. Managing Service Quality, 12(1), 6-9. doi:10.1108/096045202104
DOI
|
35 |
Perea y Monsuwe, T., Dallaert, B. G. C. & de Ruyter, K. (2004). What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1), 102-121. doi:10.1108/09564230410523358
DOI
|
36 |
Sillitoe, B. (2019, June 25). The new ways to pay. Drapers, Retrieved August 5, 2020, from https://www.drapersonline.com/companies/the-new-ways-to-pay
|
37 |
Yoon, D. Y., Park, G. H., & Lee, H. H. (2018). Consumers' perceptions of interactive digital signage in a fashion store: An application of the technology acceptance model. The Research Journal of the Costume Culture, 26(6), 836-851. doi:10.29049/rjcc.2018.26.6.836
DOI
|