The Effect of the Fashion Product Classification Method in Online Shopping Sites

인터넷 쇼핑몰의 패션 제품 분류 방식의 효과

Han, Seo-Young;Cho, Yunjin;Lee, Yuri

  • Received : 2015.08.28
  • Accepted : 2016.02.17
  • Published : 2016.04.30


This study examines the influence of product classification standards and structure on user perception as well as their attitude towards online shopping sites. The causal relationships of variables are also examined. The analysis was based on an online survey with 247 responses. Four types of internet shopping sites were developed and used as a stimulus. The results of the mean comparison analysis indicated that perceived variety, information overload, perceived shopping value and attitude towards the site varies significantly with product classification standards and structure. There was also of a marginally significant interaction between the classification standard and structure on perceived variety and information overload. The causal relationship analysis revealed that perceived variety positively influenced hedonic and utilitarian shopping value. However, information overload had a negative effect on hedonic and utilitarian shopping value. Both the hedonic and utilitarian shopping value positively influenced attitudes towards the sites. This study demonstrates that classification method influences customer perception and attitude. It offers interesting insights on a product classification method as a strategic tool for online shopping.


Product classification method;Perceived variety;Information overload;Shopping value;Attitude toward online shopping sites


  1. Ratneshwar, S., Barsalou, L. W., Pechmann, C., & Moore, M. (2001). Goal-derived categories: The role of personal and situational goals in category representations. Journal of Consumer Psychology, 10(3), 147-157.
  2. Reibstein, D. J., Youngblood, S. A., & Fromkin, H. L. (1975). Number of choices and perceived decision freedom as a determinant of satisfaction and consumer behavior. Journal of Applied Psychology, 60(4), 434-437. doi:10.1037/h0076906
  3. Rosch, E., Mervis, C. B., Gray, W. D., Johnson, D. M., & Boyes-Braem, P. (1976). Basic objects in natural categories. Cognitive Psychology, 8(3), 382-439. doi:10.1016/0010-0285(76)90013-X
  4. Ryu, Y. J., & Kim, W. S. (2010). The difference of product judgement and consideration set on digital convergence product depending on categorization methods. Korean Journal of Consumer and Advertising Psychology, 11(4), 711-735.
  5. Sherman, E., Mathur, A., & Smith, R. B. (1997). Store environment and consumer purchase behavior: Mediating role of consumer emotions. Psychology and Marketing, 14(4), 361-378. doi:10.1002/(SICI)1520-6793(199707)<361::AID-MAR4>3.0.CO;2-7
  6. Simonson, I. (1999). The effect of product assortment on buyer preferences. Journal of Retailing, 75(3), 347-370. doi:10.1016/S0022-4359(99)00012-3
  7. Stanton, J. V., & Paolo, D. M. (2012). Information overload in the context of apparel: Effects on confidence, shopper orientation and leadership. Journal of Fashion Marketing and Management, 16(4), 454-476. doi:10.1108/13612021211265854
  8. Statistics Korea. (2015, January 29). 2014년 4/4분기 및 연간 온라인쇼핑동향 [2014 the fourth quarter & year online shopping trends]. Statistics Korea. Retrieved August 20, 2015, from
  9. Suri, R., Cai, J. Z., Monroe, K. B., & Thakor, M. V. (2012). Retailers' merchandise organization and price perceptions. Journal of Retailing, 88(1), 168-179. doi:10.1016/j.jretai.2011.02.005
  10. Tarafdar, M., & Zhang, J. J. (2005). Analyzing the influence of website design parameters on website usability. Information Resources Management Journal, 18(4), 62-80. doi:10.4018/irmj.2005100104
  11. Wu, G. (1999). Perceived interactivity and attitude toward web sites. Proceedings of the annual conference of American Academy of Advertising, USA, 254-262.
  12. Yu, J. P. (2012). 우종필 교수의 구조방정식모델 개념과 이해 [Yu Jong Pil Professor's structural equation modeling concept and understanding]. Seoul: Hannarae Publishing Co.
  13. Ziefle, M. (2010). Information presentation in small screen devices: The trade-off between visual density and menu foresight. Applied ergonomics, 41(6), 719-730. doi:10.1016/j.apergo.2010.03.001
  14. Lee, E. J., & Hong, B. S. (2006). The effect of flow experience and perceived utilitarian value of internet shopping on purchase intention of the fashion merchandise. Journal of the Korean Society of Clothing and Textiles, 30(8), 1188-1198.
  15. Lee, H. S., & Lim, J. H. (2011). 구조방정식 모형분석과 AMOS 18.0/19.0 [Structural equation modeling & AMOS 18.0/19.0]. Seoul: Jiphyunjae.
  16. Lee, J. I. (2009). Effects of image interactivity technology on the communication function. Unpublished master's thesis, Seoul National University, Seoul.
  17. Lee, W. Y. (2012). Development of the contents in plan of ubiquitous wardrobe-Category for ubiquitous wardrobe contents-. Journal of the Korean Society of Design Culture, 18(1), 321-335.
  18. Menon, S., & Kahn, B. (2002). Cross-category effects of induced arousal and pleasure on the internet shopping experience. Journal of Retailing, 78(1), 31-40. doi:10.1016/S0022-4359(01)00064-1
  19. Menon, S., & Kahn, B. E. (1995). The impact of context on variety seeking in product choices. Journal of Consumer Research, 22(3), 285-295. doi:10.1086/209450
  20. Miller, G. A. (1956). The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological Review, 63(2), 81-97. doi:10.1037/h0043158
  21. Miller, J. G. (1960). Information input overload and psychopathology. The American Journal of Psychiatry, 116(8), 695-704. doi:10.1176/ajp.116.8.695
  22. Miller, D. P. (1981). The depth/breadth tradeoff in hierarchical computer menus. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, USA, 25(1), 296-300. doi:10.1016/S0020-7373(84)80018-8
  23. Mogilner, C., Rudnick, T., & Iyengar, S. S. (2008). The mere categorization effect: How the presence of categories increases choosers' perceptions of assortment variety and outcome satisfaction. Journal of Consumer Research, 35(2), 202-215. doi:10.1086/588698
  24. Morales, A., Kahn, B. E., McAlister, L., & Broniarczyk, S. M. (2005). Perceptions of assortment variety: The effects of congruency between consumers' internal and retailers' external organization. Journal of Retailing, 81(2), 159-169. doi:10.1016/j.jretai.2005.03.007
  25. Oppewal, H., & Koelemeijer, K. (2005). More choice is better: Effects of assortment size and composition on assortment evaluation. International Journal of Research in Marketing, 22(1), 45-60. doi:10.1016/j.ijresmar.2004.03.002
  26. Park, H. E., & Yoh, E. (2010). The effect of positive and negative emotions on shopping value and approach behaviors of the internet apparel shopping site. Journal of Channel Retailing, 15(2), 101-122.
  27. Park, S. K. (2004). A study on the Web navigation design considered usability. Illusology, 15, 41-49.
  28. Ratneshwar, S., Pechmann, C., & Shocker, A. D. (1996). Goalderived categories and the antecedents of across-category consideration. Journal of Consumer Research, 23(3), 240-250. doi:10.1086/209480
  29. Baker, J., Grewal, D., & Parasuraman, A. (1994). The influence of store environment on quality inferences and store image. Journal of the Academy of Marketing Science, 22(4), 328-339. doi:10.1177/0092070394224002
  30. Chae, M. H., Black, C., & Heitmeyer, J. (2006). Prepurchase and postpurchase satisfaction and fashion involvement of female tennis wear consumers. International Journal of Consumer Studies, 30(1), 25-33. doi:10.1111/j.1470-6431.2005.00434.x
  31. Chang, C. (2011). The effect of the number of product subcategories on perceived variety and shopping experience in an online store. Journal of Interactive Marketing, 25(3), 159-168. doi:10.1016/j.intmar.2011.04.001
  32. Choi, J. W. (2013). eWOM information search behavior of cycle wear. Unpublished master's thesis, Seoul National University, Seoul.
  33. 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
  34. Elliott, M. T., & Speck, P. S. (2005). Factors that affect attitude toward a retail web site. Journal of Marketing Theory and Practice, 13(1), 40-51. doi:10.1080/10696679.2005.11658537
  35. Farrington, J. (2011). From the research: Myths worth dispelling-seven plus or minus two. Performance Improvement Quarterly, 23(4), 113-116. doi:10.1002/piq.20099
  36. Felcher, E. M., Malaviya, P., & McGill, A. L. (2001). The role of taxonomic and goal-derived product categorization in, within, and across category judgments. Psychology & Marketing, 18(8), 865-887. doi:10.1002/mar.1033
  37. 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
  38. Goedertier, F., Geskens, K., Geuens, M., & Weijters, B. (2012). Increasing choice satisfaction through goal-based labeling. Marketing Letters, 23(1), 119-136. doi:10.1007/s11002-011-9141-6
  39. Hart, C., & Rafiq, M. (2006). The dimensions of assortment: A proposed hierarchy of assortment decision making. The International Review of Retail, Distribution and Consumer Research, 16(3), 333-351. doi:10.1080/09593960600697063
  40. Herrmann, A., Heitmann, M., Morgan, R., Henneberg, S. C., & Landwehr, J. (2009). Consumer decision making and variety of offerings: The effect of attribute alignability. Psychology & Marketing, 26(4), 333-358. doi:10.1002/mar.20276
  41. 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
  42. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. doi:10.1007/BF02723327
  43. Hoch, S. J., Bradlow, E. T., & Wansink, B. (1999). The variety of an assortment. Marketing Science, 18(4), 527-546.
  44. Hong, H. S. (2004). Attitude toward the website for apparel shopping (Part 1): Measurement model testing. Journal of the Korean Society of Clothing and Textiles, 28(11), 1482-1494.
  45. Hong, H. S. (2005). Attitude toward the website for apparel shopping (Part 2): Structural model testing. Journal of the Korean Society of Clothing and Textiles, 29(1), 136-148.
  46. Irani, N., & Hanzaee, K. H. (2011). The effects of variety-seeking buying tendency and price sensitivity on utilitarian and hedonic value in apparel shopping satisfaction. International Journal of Marketing Studies, 3(3), 89-103.
  47. Jacko, J. A., & Salvendy, G. (1996). Hierarchical menu design -Breadth, depth, and task complexity-. Perceptual and Motor Skills, 82(3c), 1187-1201. doi:10.2466/pms.1996.82.3c.1187
  48. Kahn, B. E. (1998). Dynamic relationships with customers-High-variety strategies-. Journal of the Academy of Marketing Science, 26(1), 45-53. doi:10.1177/0092070398261005
  49. Kahn, B. E., & Wansink, B. (2004). The influence of assortment structure on perceived variety and consumption quantities. Journal of Consumer Research, 30(4), 519-533. doi:10.1086/380286
  50. Kiger, J. I. (1984). The depth/breadth trade-off in the design of menu-driven user interfaces. International Journal of Man-Machine Studies, 20(2), 201-213. doi:10.1016/S0020-7373(84)80018-8
  51. Kim, Y. M., & Kim, D. H. (2001). A study on the effects of the characteristics of internet shopping mall on shopping values and customer retention. Journal of Global Academy of Marketing Science, 8(1), 61-87. doi:10.1080/12297119.2001.9707517
  52. Kim, J. I. (2006). (유비쿼터스) 인터넷 마케팅 [Ubiquitous Internet marketing]. Seoul: Pakyoungsa.
  53. Kim, J. W. (2012). Human computer interaction 개론 (개정판) [Human computer interaction introduction (2nd ed.)]. Paju: Ahn graphics.
  54. Kim, K. S. (2010). AMOS 18.0 구조방정식 모형 분석 [AMOS 18.0 structural equation model analysis]. Seoul: Hannarae Academy.
  55. Ku, G. T. (2009). Through information/special issue; Information overload effect in information age. Local Information, 59, 12-17.
  56. Lamberton, C. P., & Diehl, K. (2013). Retail choice architecture: The effects of benefit-and attribute-based assortment organization on consumer perceptions and choice. Journal of Consumer Research, 40(3), 393-411. doi:10.1086/671103
  57. Lang, A. (2000). The limited capacity model of mediated message processing. Journal of Communication, 50(1), 46-70. doi:10.1111/j.1460-2466.2000.tb02833.x
  58. Larson, K., & Czerwinski, M. (1998). Web page design: implications of memory, structure and scent for information retrieval. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, USA, 25-32.
  59. Lee, C. S. (2000). A study on the classification schemes of internet resources in the fields of the information & telecommunications technology. Journal of Korean Library and Information Science Society, 31(4), 111-138.


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