DOI QR코드

DOI QR Code

The Effects of Shopping Value on the Usage Intention of Unmanned Fashion Stores -Application of Technology Acceptance Model-

쇼핑가치에 따른 무인패션점포 이용의도 -기술수용모형의 적용-

  • Seo, Sangwoo (Dept. of Fashion Business, Jeonju University)
  • 서상우 (전주대학교 패션산업학과)
  • Received : 2019.03.18
  • Accepted : 2019.04.16
  • Published : 2019.05.30

Abstract

The objective of this study was to verify the usage intention of unmanned fashion stores through the technology acceptance model and to verify the extended technology acceptance model including the shopping value as consumers' characteristic. An online survey, consisting of 626 consumers as participants, was conducted from March 13 to 19. Results of the study were as follows: This study used exploratory and confirmatory factor analysis. Furthermore, a covariance structure analysis using the maximum likelihood was conducted for hypothesis testing. According to the results, perceived ease of use affects perceived usefulness, which thereby affects the usage intention of unmanned fashion stores through attitude. Moreover, the analysis of the extended technology acceptance model including the shopping value as the intrinsic motivation of the consumers showed that the hedonic shopping value had a significant effect on the perceived ease of use and perceived usefulness, and perceived usefulness influenced the usage intention of unmanned fashion stores through attitude.

Keywords

HGPSBI_2019_v23n2_140_f0001.png 이미지

Figure 1. Research Model: Basic Technology Acceptance Model

HGPSBI_2019_v23n2_140_f0002.png 이미지

Figure 2. Research Model: Extended Technology Acceptance Model

HGPSBI_2019_v23n2_140_f0003.png 이미지

Figure 3. The Results of Research Model Analysis: Technology Acceptance Model

HGPSBI_2019_v23n2_140_f0004.png 이미지

Figure 4. The Results of Research Model Analysis: Extended Technology Acceptance Model

Table 1. Descriptive Analysis of Respondents’ Characteristics

HGPSBI_2019_v23n2_140_t0001.png 이미지

Table 2. The Results of Reliability Test and Confirmatory Factor Analysis

HGPSBI_2019_v23n2_140_t0002.png 이미지

Table 3. The AVE and Squared Correlations of Variables

HGPSBI_2019_v23n2_140_t0003.png 이미지

Table 4. The Results of Structural Equation Modeling: Technology Acceptance Model

HGPSBI_2019_v23n2_140_t0004.png 이미지

Table 5. The Results of Structural Equation Modeling: Extended Technology Acceptance Model

HGPSBI_2019_v23n2_140_t0005.png 이미지

References

  1. Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology. MIS Quarterly, 24(4), 665-694. doi: 10.2307/3250951
  2. Ahn, H. S., Sa, I. K., Baek, Y. M., & Choi, J. Y. (2006). The implement of intelligent service robot for unmanned store management in ubiquitous. Proceedings of 2006 Spring Conference of The Institute of Electronics and Information Engineers (pp.999-1000). Seoul: The Institute of Electronics and Information Engineers.
  3. Ahn, H. S., Sa, I. K., Baek, Y. M., & Lee, D. W. (2011). A development of intelligent service robot system for store management in unmanned environment. Journal of Institute of Control, Robotics and Systems, 17(6), 539-545. doi: 10.5302/j.icros.2011.17.6.539
  4. Ahn, K. H., & Lee, H. N. (2011). The effect of perceived shopping value dimensions on attitude toward store, emotional response to store shopping, and store loyalty. Korean Journal of Marketing, 12(4), 137-164.
  5. Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. Berlin, Germany: Springer-Verlag.
  6. An, H. S. (2018, July 25). Unmanned store, which level is Korean in? Appstory. Retrieved February 25, 2019 from http://monthly.appstory.co.kr/plan10925
  7. Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644-656. doi: 10.1086/209376
  8. Barrett, M. (1997). Alternative delivery systems: Supermarkets, ATMs, telephone banking, PCs, and on-line banking. Banker's Magazine, 180(3), 44-51.
  9. Barta R., & Ahtola, O. T. (1991). Measuring the hedonic and utilitarian sources of consumer attitudes. Marketing Letters, 2(2), 159-170. doi: 10.1007/bf00436035
  10. Bateson, J. E. G. (1985). Self-service consumer: An exploratory study. Journal of Retailing, 6(13), 49-76.
  11. BingoBox's unattended retail revolution. (2018, April 26). PYMNTS.com, Retrieved February 25, 2019 from https://www.pymnts.com/news/retail/2018/bingobox-rfid-self-checkout-shopping/
  12. Bitner, M. J., Stephen, W., & Matthew, L. (2000). Technology infusion in service encounter. Journal of the Academy of Marketing Science, 28(1), 138-149. https://doi.org/10.1177/0092070300281013
  13. Bloch, P. H., & Richins M. L. (1983). A theoretical model for the study of product importance perceptions. Journal of Marketing, 47, 69-81. doi: 10.1177/002224298304700308
  14. Chae, J. M. (2016). The effect of mobile fashion shopping characteristics on consumer's purchase intention -Applying the technology acceptance model-. Fashion & Textile Research Journal, 18(1), 38-47. doi: 10.5805/sfti.2016.18.1.38
  15. Chandler, S. (1995). The grocery cart in your PC. Business Week, 11, 63-64.
  16. Chau, P. Y. K., & Hu, P. J. H. (2002). Examining a model of information technology acceptance by individual professionals: An exploratory study. Journal of Management Information Systems, 18(4), 191-229. doi: 10.1080/07421222.2002.11045699
  17. Cheon, H. M. (2018). Impact of unattended store service characteristics on intelligence service value: Focusing in the moderating effects of unattended store spreading expectation. Journal of Distribution and Management Research, 21(6), 99-107. https://doi.org/10.17961/JDMR.21.6.201812.99
  18. Cho, Y. J. (2012). The effects of salesperson's nonverbal communication on consumer emotions and service quality in fashion shopping. Fashion & Textile Research Journal, 14(3), 413-422. doi: 10.5805/ksci.2012.14.3.413
  19. Choo, S., Sohn, Y., & Jeon, S. (2011). A study on the acceptance decision factors of mobile services: Focusing on expanding technology acceptance model by intrinsic motivation. Management Information System Review, 30(4), 117-146. doi: 10.29214/damis.2011.30.4.006
  20. Chun, H. K., & Hwang S. J. (2001). The effects of a fashion store saleswoman's clothing and store type on elderly female consumers' likability and intention to purchase. Journal of the Korean Society of Clothing and Textiles, 25(2), 293-302.
  21. Dabholkar, P. A. (1994). Technology-based service delivery: A classification scheme for developing marketing strategies. Advances in Service Marketing and Management, 3, 241-271. doi: 10.1016/s1067-5671(94)03012-x
  22. Dabholkar, P. A. (2000). Technology in service delivery: Implications for self-service and service e-support. CA, US: Sage Publications.
  23. Darsono, L. I. (2005). Examining information technology acceptance by individual professionals. Gadjah Mada International Journal of Business, 7(2), 155-178. doi: 10.22146/gamaijb.5576
  24. 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
  25. Davis, F. D., Bagozzi, R. P., & Warshaw, P. P. (1992). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 30(2), 361-391. doi: 10.1287/mnsc.35.8.982
  26. Eighmey, J. (1997). Profiling user responses to commercial web sites. Journal of Advertising Research, 37(May-June), 59-66.
  27. Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1995). Consumer behavior. NY: Dryden Press.
  28. Fadi. (2018, March 12). Fourth industrial revolution - Unmanned distribution. Retrieved February 25, 2019 from http://cft.or.kr/sub/?num=1793&part=SEEDS&NEEDS
  29. Fischer, E., & Arnold, S. J. (1990). More than a labor of love: Gender roles and christmas gift shopping. Journal of Consumer Research, 17(3), 333-345. doi: 10.1086/208561
  30. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. MA: Addison-Wesley.
  31. Goodhue, D. (2007). Comment on Benbasat and Barki's "Quo Vadis TAM" article. Journal of Association for Information Systems, 8(4), 219-222. doi:10.17705/1jais.00125
  32. Han, S. L., & Park, S. M. (2009). Effects of technology readiness on the attitude and usage intention of self service technology. Entrue Journal of Information Technology, 8(2), 51-63.
  33. Holbrook, M. B., & Hirschman, E. C. (1982). The experiential aspects of consumption: Consumer fantasies, feelings and fun. Journal of Consumer Research, 9(2), 132-140. doi: 10.1086/208906
  34. Hwang, S. J., Kim, H. J., & Hwang, K. S. (2005). The effects of shopping value, sales promotions and types of fashion stores on consumers' intention to visit fashion stores and word of mouth communication. Human Life Sciences, 8, 91-104.
  35. Jeon, H., Kim, K. A., & Kim, S. H. (2018). The effects of customer's relational benefits on continuous usage intention of technology-based self-service: Focusing on types of technology-based self-service. Journal of Marketing Management Research, 23(1), 27-49. https://doi.org/10.37202/KMMR.2018.23.1.27
  36. Jeong, S. W., & Roh, J. (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: 10.29049/rjcc.2016.24.2.263
  37. Kang, K. Y., & Jin, H. J. (2007a). Influence of consumers' fashion innovativeness and technological innovativeness on attitudes and buying intention toward smart clothing. Fashion & Textile Research Journal, 9(1), 35-40.
  38. Kang, K. Y., & Jin, H. J. (2007b). A study on consumers' clothing buying intention adopted by the technology acceptance model. Journal of the Korean Society of Clothing and Textiles, 31(8), 1211-1221. doi: jksct.2007.31.8.1211 https://doi.org/10.5850/JKSCT.2007.31.8.1211
  39. Kim, E. Y. (2018, July 27). [2018 distribution outlook] Chatbot . unauthorized store... Accelerate new distribution. ChosunBiz. Retrieved February 25, 2019 from http://biz.chosun.com/site/data/html_dir/2017/12/29/2017122901863.html
  40. Kim, Y. D. (2018). Service business spread beyond "unmanned economy" manufacturing industry. Midas, 3, 88-89.
  41. Kim, Y., & Kim, J. B. (2018). The influence of apparel shopping orientation on shopping value: The moderating effect of a salesperson's ability. Journal of Distribution and Management Research, 21(3), 93-104. https://doi.org/10.17961/JDMR.21.3.201806.93
  42. Kwag, M. S., Cho, K. M., & Lee, K. Y. (2014). Verification of an adaptive model of technology acceptance model and theory of planned behavior for online purchasing intentions of sports products: The moderating effects of lifestyle. The Korean Journal of Physical Education, 53(3), 423-441.
  43. Langeard, E., Bateson, J. E. G., Lovelock, C. H., & Eiglier, P. (1981). Services marketing: New insights from consumers and managers (pp.81-104). Cambridge, US: Marketing Science Institute.
  44. Lee, Y., Ryu, M., & Lee, S. (2015). A study of consumer attitudes and usage intention toward overseas direct online shopping -Focusing in the extended technology acceptance model-. Journal of Consumer Studies, 26(5), 201-222.
  45. Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of influence on beliefs about information technology use: An empirical study of knowledge workers. MIS Quarterly, 27(4), 657-678. doi: 10.2307/30036552
  46. Lim, J. W., Kim, J. I., Hong, S. T., & Lee, Y. J. (2000). Consumer behavior- Understanding & strategic utilization of marketing. Seoul: Kyungmoonsa.
  47. Lin, J. C. C., & Lu, H. (2000). Toward an understanding of the behavioral intention to use a web site. International Journal of Information Management, 20(30), 197-208. https://doi.org/10.1016/S0268-4012(00)00005-0
  48. McFarland, D., & Hamilton, D. (2005). Factors affecting student performance and satisfaction: Online versus traditional course delivery. Journal of Computer Information Systems, 46(2). 25-32.
  49. McFarland, M. (2018, October 3). I spent 53 minutes in Amazon Go and saw the future of retail. CNN Business, Retrieved February 25, 2019 from http://edition.cnn.com/2018/10/03/tech/amazon-go/index.html
  50. Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: Understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 50-64. doi: 10.1509/jmkg.64.3.50.18024
  51. Min, B. K., & Park, J. Y. (2010). Determinants of users acceptance of technology-based self-service. Journal of Korea Technology Innovation Society, 13(1), 204-230.
  52. Moon, D. A. (2018, September 25). Unmanned generation and forecasting: Unmanned store, to which level did it developed? Asiatimes. Retrieved February 25, 2019 from http://www.asiatime.co.kr/news/articleView.html?idxno=201529
  53. Na, Y. (2011). The effects of interface characteristics of mobile commerce on the extended technology acceptance intention of the fashion consumer. Fashion & Textile Research Journal, 13(4), 548-559. doi: 10.5805/ksci.2011.13.4.548
  54. Park, H. H., & Jung, G. O. (2010). A study on the influence of store attribute and store personality on store selection: Focusing in the moderating effect of shopping value and prior knowledge. Journal of Marketing Management Research, 15(1), 139-166.
  55. Park, H. H., & Noh, M. J. (2012). The influence of consumers' innovativeness and trust on acceptance intention of sensor-based smart clothing. Fashion & Textile Research Journal, 14(1), 24-36. doi: 10.5805/ksci.2012.14.1.024
  56. Park, J. Y. (2018, February 1). Additional unmanned stores, seven eleven signature 2nd open. Money Today, Retrieved February 25, 2019 from http://news.mt.co.kr/mtview.php?no=2018020109532424978
  57. Park, N., Jang, Y. S., & Park, J. O. (2009). A cross-national comparison of the importance of apparel store attributes for shopping values between Korean and Chinese college students. Journal of the Korean Society of Clothing and Textiles, 33(12), 1862-1872. doi: 10.5850/jksct.2009.33.12.1862
  58. Schechter, L. (1984). A normative conception of value. Progressive Grocer, Executive Report, 12-14.
  59. Seo, S. & Lee, Y. (2008). Shopping values of clothing retailers perceived by consumers of different social classes. Journal of Retailing and Consumer Services, 15(6), 491-499. doi: 10.1016/j.jretconser.2008.02.001
  60. Seo, S. (2018). The effects of consumers' innovativeness on the usage intention of unmanned fashion stores-Application of technology acceptance model-. Journal of the Korean Society of Costume, 68(7), 60-73. doi: 10.7233/jksc.2018.68.7.060
  61. Sherry, J. F. Jr. (1990). Dealers and dealing in a periodic market: Informal retailing in ethnographic perspective. Journal of Retailing, 66(2), 174-200.
  62. Sherry, P. & Barton, E. J. (1990). Executive assessment: A comprehensive fit-based model. VA: Maximilian Press.
  63. Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159-170. https://doi.org/10.1016/0148-2963(91)90050-8
  64. Shin, H. B., & Lim, S. J. (2003). The effects of fashion store salesperson's effort on middle upper class older female customer's intention to relationship continuity. Journal of the Korean Society of Clothing and Textiles, 27(6), 675-684.
  65. Venkatesh, V. (2000). Determinants of perceived ease of use: Integration control, intrinsic motivation, and emotion into the technological acceptance model. Information System Research, 11(4), 342-365. doi: 10.1287/isre.11.4.342.11872
  66. Venkatesh, V., Speier, C., & Morris, M. G. (2002). User acceptance enabler in individual decision making about technology: Toward an integrated model. Decision Science, 33(2), 297-316. doi:10.1111/j.1540-5915.2002.tb01646.x
  67. Yoon, H. S. (2018, June 14). Lotte Himart, 'hand pay' service. ETNEWS, Retrieved February 25, 2019 from http://www.etnews.com/20180614000044
  68. You, J., & Park, C. (2010). A comprehensive review of technology acceptance model research. Entrue Journal of Information Technology, 9(2), 31-50.

Cited by

  1. 4차 산업혁명 시대 무인편의점의 성공요인에 대한 제언: 이마트24 셀프 스토어 사례 중심으로 vol.26, pp.2, 2019, https://doi.org/10.9723/jksiis.2021.26.2.073