한국의류산업학회지 (Fashion & Textile Research Journal)

  • 제14권1호
  • /
  • Pages.24-36
  • /
  • 2012
  • /
  • 1229-2060(pISSN)
  • /
  • 2287-5743(eISSN)
한국의류산업학회 (The Society of Fashion and Textile Industry)
권호 표지
DOI QR코드

DOI QR Code

소비자의 혁신성과 신뢰가 센서기반 스마트 의류 수용의도에 미치는 영향

The Influence of Consumers' Innovativeness and Trust on Acceptance Intention of Sensor-based Smart Clothing

  • Park, Hyun-Hee (School of Business Administration, Kyungpook National University) ;
  • Noh, Mi-Jin (School of Business Administration, Kyungpook National University)
  • 투고 : 2011.04.27
  • 심사 : 2011.11.25
  • 발행 : 2012.02.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This study examines consumer's acceptance intention of sensor-based smart clothing empolying the extended TAM. Technology innovativeness, information innovativeness and trust were used as external variables and perceived palyfulness was included in the extetended TAM. Data were collected from the adults over 20 years old living in Daegu from March 14 to 18, 2011. 193 useful copies of data were analyzed to investigate a structural model and test research hypotheses using AMOS 7.0. The study results showed that the extended TAM for smart clothing was validated empirically in predicting the individual's acceptance of sensor-based smart clothing and 10 hypotheses among 12 hypotheses were supported. Technology innovation, information innovation, and trust were confirmed as antecedent variables in affecting extended TAM. Perceived usefulness and perceived playfulness directly influenced acceptance intention and indirectly influenced acceptance intention mediating attitude. Perceived usefulness affected perceived playfulness and attitude affected acceptance intention. This study will help marketers and managers of fashion companies devise effective tools in planning marketing strategies related to smart clothing.

키워드

참고문헌

  1. Adams, D. A., Nelson, P. P., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227-248. https://doi.org/10.2307/249577
  2. Agarwal, R., & Karahanna, E. (2000). Times flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694. https://doi.org/10.2307/3250951
  3. Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information System Research, 9(2), 204-215. https://doi.org/10.1287/isre.9.2.204
  4. Al-maghrabi, T., & Dennis, C. (2009). The driving factors of continuance online shopping: Gender differences in behaviour-the case of Saudi Arabia. Proceedings of European and Mediterranean Conference on Information Systems 2009 (pp. 1-19). Crowne Plaza Hotel, Izmir.
  5. An, D. C., & Kim, S. H. (2009). Moderating effects of gender on intentions to adopt mobile advertising: An application of modified technology acceptance model. The Korean Journal of advertising, 20(4), 171-188.
  6. Babin, B. J., Darden, W. R., & Griffen, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 49(2), 91-99.
  7. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of Academy of Marketing Science, 16(1), 74-94. https://doi.org/10.1007/BF02723327
  8. Bhattacherjee, A. (2001). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201-214. https://doi.org/10.1016/S0167-9236(01)00111-7
  9. Bruner, G. C., & Kumar, A. (2005). Explaining consumer acceptance of handheld internet devices. Journal of Business Research, 58(5), 553-558. https://doi.org/10.1016/j.jbusres.2003.08.002
  10. Chae, J. M. (2010). The extended technology acceptance model according to smart clothing types. Korean Journal of Human Ecology, 19(2), 375-387. https://doi.org/10.5934/KJHE.2010.19.2.375
  11. Chae, J. M. (2009). Extending the technology acceptance model for smart clothing. Journal of the Korean Home Economics Association, 47(4), 99-110.
  12. Chae, J. M., Cho, H. S., & Lee, J. H. (2009). A study on consumer acceptance toward the commercialized smart clothing. Korean Journal of the Science of Emotion and Sensibility, 12(2), 181-192.
  13. Chen, L. D. (2000). Consumer acceptance of virtual stores: A theoretical model and critical success factors for virtual stores. Unpublished doctoral dissertation, University of Memphis, Memphis.
  14. Cho, H. K., Lee, J. H., Lee, C. K., & Lee, M. H. (2006). An exploratory research for development of design of sensor-based smart clothing-Focused on the healthcare clothing based on biomonitoring technology-. Korean Journal of the Science of Emotion and Sensibility, 9(2), 141-150.
  15. Cho, H. K., Song, H. Y., Cho, H. S., Goo, S. M., & Lee, J. H. (2010). A study on the design of functional clothing for vital sign monitoring-based on ECG sensing clothing-. Korean Journal of the Science of Emotion and Sensibility, 13(3), 467-474.
  16. Choi, S. Y., & Lee, J. R. (2009). Development and evaluation of smart pants with vibrating devices. Journal of the Korean Society for Clothing Industry, 11(1), 121-129.
  17. Citrin, A. V., Sprott, D. E., Silveman, S. N., & Stem, D. E. Jr. (2000). Adoption of internet shopping: The role of consumer innovativeness. Industrial Management and Data Systems, 100(7), 294-300. https://doi.org/10.1108/02635570010304806
  18. Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319- 340. https://doi.org/10.2307/249008
  19. Davis, F. D., Bagozzi, R. D., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. MIS Journal of Applied Social Psychology, 22(14), 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
  20. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
  21. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Massachusetts: Addison-Wesley.
  22. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
  23. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Inexperience and experience with online stores: The importance of TAM and trust. IEEE Transactions on Engineering Management, 50(3), 307-321. https://doi.org/10.1109/TEM.2003.817277
  24. Goldsmith, R. E., & Hofacker, C. F. (1991). Measuring consumer innovativeness. Journal of Academic Marketing Science, 19(3), 209-222. https://doi.org/10.1007/BF02726497
  25. Goldsmith, R. E., Freiden, J. B., & Eastman, J. K. (1995). The generality/ specificity issue in consumer innovativeness research. Technovation, 15(10), 601-613. https://doi.org/10.1016/0166-4972(95)99328-D
  26. Ha, S., & Stoel, L. (2009) Consumere-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62, 565-571. https://doi.org/10.1016/j.jbusres.2008.06.016
  27. Ha, Y., & Stoel, L.(2004). Internet apparel shopping behaviors: The influence of general innovativeness. International Journal of Retail and Distribution Management, 32(8), 377-385. https://doi.org/10.1108/09590550410546197
  28. Heijden, H. V. D. (2003). Factors influencing the usage of websites: The case of a generic portal in the Netherlands. Information & Management, 40(6), 541-549. https://doi.org/10.1016/S0378-7206(02)00079-4
  29. Hyun, D. W. (2010). A study on correlations between innovativeness of consumer and property of typicality. Unpublished master's thesis, Hankuk University of Foreign Studies, Seoul.
  30. Igbaria, M., Parasuraman, S., & Baroudi, J. J. (1996). A motivational model of microcomputer usage. Journal of Management Information Systems, 13(1), 127-143.
  31. Jackson, C. M., Chow, S., & Leitch, R. A. (1997). Toward an understanding of the behavioral intention to use an information system. Decision Sciences, 28(2), 357-389. https://doi.org/10.1111/j.1540-5915.1997.tb01315.x
  32. Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000). Consumer trust in an internet store. Information Technology and Management, 1(12), 45-71. https://doi.org/10.1023/A:1019104520776
  33. Kang, K. Y. (2009). Influence of consumer innovativeness on smart clothing innovativeness evaluation. Journal of the Korean Society for Clothing Industry, 11(3), 409-416.
  34. Kang, K. Y., & Jin, H. J. (2008). The study on the perceived risk and product innovativeness evaluation of smart clothing. Journal of the Korean Society for Clothing Industry, 10(5), 618-624.
  35. Kang, K. Y., & Jin, H. J. (2007). 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. https://doi.org/10.5850/JKSCT.2007.31.8.1211
  36. Kim, H. B., Kim, T., & Shin, S. W. (2009). Modeling roles of subjective norms and e-trust in customers' acceptance of airline B2C ecommerce websites. Tourism Management, 30, 266-277. https://doi.org/10.1016/j.tourman.2008.07.001
  37. Kim, H. R., Hong, S. M., & Lee, M. K. (2005). Consumer evaluations of convergence products. Korean Journal of marketing, 7(1), 1-20.
  38. Kim, J. S., & Kim, Y. G. (2002). The effect of customer's perceived value of internet banking an customer loyalty. The Journal of MIS Research, 12(4), 215-235.
  39. Kim, M. T., & Lee, J. H. (2007). Effects of consumer innovativeness and reference group compliance on use-diffusion and brand re-adoption of a convergence product. Journal of Industrial Economics and Business, 20(3), 1253-1278.
  40. Kim, S. Y., Lee, S. H., & Hwang, H. S. (2011). A study of the factors affecting adoption of smartphone. Entrue Journal of Information Technology, 10(1), 29-39. https://doi.org/10.3923/itj.2011.29.39
  41. Kim, Y. C., Joo, Y. H., & Yoon, S. H. (2005). A study on the interrelation between adoption intentions of innovative services in ICT market: Focused on convergence services. Korean Telecommunications Policy Review, 12(1), 25-54.
  42. Kulviwat, S., Bruner, G. C., Kumar, A., Nasco, S. A., & Clark, T. (2007). Toward a unified theory of consumer acceptance of technology. Psychology & Marketing, 24, 1059-1084. https://doi.org/10.1002/mar.20196
  43. Leavitt, C., & Walton, J. (1975). Development of a scale for innovativeness. In M. J. Schlinger (Eds.), Advances in Consumer Research, 2, (pp. 545-554). Ann Arbor, MI: Association for Consumer Research.
  44. Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. (2000). The technology acceptance model and the world wide web. Decision Support Systems, 29(3), 269-282. https://doi.org/10.1016/S0167-9236(00)00076-2
  45. Lee, H. M. (2008). The study on the acceptance of wearable computers and consumer segmentation: based on the technology acceptance model(TAM). Unpublished doctoral dissertation, Ewha Womans University, Seoul.
  46. Lee, H. Y., & Ahn, H. C. (2010). The impact of trust on user acceptance of electronic commerce in virtual communities. Entrue Journal of Information Technology, 9(1), 145-156.
  47. Lee, H. Y., & Kim, Y. K. (2009). Development of a design prototype for winter outdoor smart clothing. Journal of the Korean Society of Design Culture, 15(3), 339-355.
  48. Lee, K. K., & Noh, Y. (2009). Exploring factors affecting the mobile payment-Focus on factors related to risk and trust-. The e-business studies, 10(3), 281-301. https://doi.org/10.15719/geba.10.3.200909.281
  49. Lee, M. S. (2008). An empirical study on the effect of trust to RFID technology acceptance. Journal of Technology Innovation, 16(1), 47-79. https://doi.org/10.1080/19761597.2008.9668656
  50. Liao, C. H., & Tsou, C. W. (2009). User acceptance of computermediated communication: The SkypeOut case. Expert Systems with Applications, 36, 4595-4603. https://doi.org/10.1016/j.eswa.2008.05.015
  51. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with theory of planned behavior. Information Systems Research, 2(3), 173-191. https://doi.org/10.1287/isre.2.3.173
  52. Midgley, D. F., & Dowling, R. (1978). Innovativeness: The concept and its measurement. Journal of Consumer Research, 4, 129-142.
  53. Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World- Wide-Web context. Information & Management, 38(4), 217-230. https://doi.org/10.1016/S0378-7206(00)00061-6
  54. Noh, M. J., & Jang, H. Y. (2010). The antecedents and outcomes of user attitude in IPTV service: Focused on the mediating roles of involvement and the linkage between processes of buying intention. Korean Management Review, 39(1), 177-208.
  55. Paek, K. J., & Ashdown, S. P. (2009). Development and analysis of smart jacket for the elderly: Focused on American women. Journal of the Korean Society for Clothing Industry, 11(2), 315- 325.
  56. Park, H. H. & Noh, M. J. (2012). The influence of innovativeness and price sensitivity on purchase intention of smart wear. Journal of the Korean Society of Clothing and Textiles, 36(2), 218-230. https://doi.org/10.5850/JKSCT.2012.36.2.218
  57. Park, J. J. (2004). Factors influencing consumer intention to shop online. The Korean Journal of Advertising, 15(3), 289-315.
  58. Park, S. Y., & Park, E. J. (2010). Effects of consumer innovativeness, shopping mall attributes, and satisfaction on e-loyalty for fashion products. Journal of the Korean Society of Clothing and Textiles, 34(5), 765-774. https://doi.org/10.5850/JKSCT.2010.34.5.765
  59. Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101-134.
  60. Price, L. L., & Ridgeway, N. M. (1983). Development of a scale to measure use innovativeness. Psychology & Marketing, 11(1), 69-84.
  61. Rogers, E. M. (1983). Diffusion of innovation. New York: The Free Press.
  62. Rogers, E. M. (1986). Communication technology: The new media and society. New York: The Free Press.
  63. Ruth, C. (2000). Applying a modified technology acceptance model to determined factors affecting behavioral intention to adopt electronic shopping on the world wide web: A structural equation modeling approach. Unpublished doctoral dissertation, Drexel University, Philadelphia.
  64. Suh, C. K., & Seong, S. J. (2004). Individual characteristics affecting user's intention to use internet shopping mall. The Journal of MIS Research, 14(3), 1-22.
  65. Sun, H., & Zhang, P. (2008). Online sellers' trust and use of online auction marketplaces. Proceedings of the 2008 PACIS(Pacific Asia Conference on Inforamation Systems). Retrieved April 26, from http://arsel.aisnet.org/pacis2008/78.
  66. Szanja, B. (1994). Software evaluation and choice: Predictive validation of the technology acceptance instrument. MIS Quarterly, 18(3), 319-324. https://doi.org/10.2307/249621
  67. Sztompka, P. (1999). Trust: A sociological Theory. Cambridge, UK: Cambridge University Press.
  68. Taylor, S., & Todd, P. A. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(4), 561-570. https://doi.org/10.2307/249633
  69. Tsang, M., Ho, S., & Liang, T. (2004). Consumer attitudes toward mobile advertising: An empirical study. International Journal of Electronic Commerce, 8, 65-78.
  70. Wang, S., Beatty, S. E., & Foxx, W. (2004). Signaling the trustworthiness of small online retailers. Journal of Interactive Marketing, 18(1), 53- 69. https://doi.org/10.1002/dir.10071
  71. Wu, I. L., & Chen, J. L. (2005). An extension of trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study. International Journal of Human-Computer Studies, 62(6), 784- 808. https://doi.org/10.1016/j.ijhcs.2005.03.003

피인용 문헌

  1. Effect of Consumer Innovativeness on the Satisfaction with Social Commerce Use vol.53, pp.3, 2015, https://doi.org/10.6115/fer.2015.023
  2. Research on Intention to Adopt Smart Wear: Based on Extended UTAUT Model vol.19, pp.2, 2015, https://doi.org/10.12940/jfb.2015.19.2.69
  3. A study on acceptance of smart fashion products- An empirical test of an extended technology acceptance model - vol.24, pp.2, 2016, https://doi.org/10.7741/rjcc.2016.24.2.263
  4. Electrical and Physical Properties of Sheath-core Type Conductive Textile Sensor with Home-Textile vol.16, pp.1, 2014, https://doi.org/10.5805/SFTI.2014.16.1.145
  5. The Influence of LOHAS Consumption Tendency and Perceived Consumer Effectiveness on Trust and Purchase Intention Regarding Upcycling Fashion Goods vol.16, pp.1, 2015, https://doi.org/10.6115/ijhe.2015.16.1.37