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온/오프라인 유통환경에서 소비자특성, 정보탐색, 구매결정 간 영향관계에 관한 연구

The Influence Relationship among Consumers' Characteristics, Information Search, and Purchase Decision in On/Offline Retailing Environment

  • 채진미 (한성대학교 글로벌패션산업학부)
  • Chae, Jin Mie (School of Global Fashion Industry, Hansung University)
  • 투고 : 2020.02.18
  • 심사 : 2020.05.08
  • 발행 : 2020.06.30

초록

This study analyzed the effects of consumers' characteristic variables on information search and purchase decisions in a decision-making process that validated the path model in purchasing apparel products. In constructing a structural equation model using AMOS 19.0., the variables including enjoyment pursuit, price pursuit, product involvement and product risk were selected as consumers' characteristic variables affecting the stage of information search. A questionnaire was distributed to consumers over 20 years old who purchased apparel products using offline and online channels within one year; consequently, we were able to analyze 468 effective data. The results were as follows. First, the path model of this research proved to be the appropriate model explaining the effects of consumers' characteristic variables on the stage of purchase decision-making. Second, enjoyment pursuit had a significant positive influence on offline information search; in addition, price pursuit and product risk affected the online information search significantly. Product involvement affected online information search as well as offline information search. Third, the offline information search affected offline purchase and online information search affected online purchase. However, consumer's channel switching behavior between the stage of information search and the stage of purchase decision was not proven. The findings suggest that companies need to develop distribution strategies according to consumers' characteristic factors that effect consumer's purchase decision-making.

키워드

참고문헌

  1. Ahn, H. A. (2015). A study on multichannel selection according to consumer's price sensitivity and product characteristics. Unpublished master's thesis, Pusan National University, Busan.
  2. Ansari, A., Mela, C. F., & Neslin, S. A. (2008). Customer channel migration. Journal of Marketing Research, 45(1), 60-76. doi:10. 1509/jmkr.45.1.060 https://doi.org/10.1509/jmkr.45.1.60
  3. Antil, J. H. (1984). Conceptualization and operationalization of involvement. ACR Advances in Consumer Research, 11, 203-209.
  4. Babin, B. J., & Attaway, J. S. (2000). Atmospheric affect as a tool for creating value and gaining share of customer. Journal of Business Research, 49(2), 91-99. doi:10.1016/S0148-2963(99)00011-9
  5. Baek, D. H. (2016). An analysis of factors affecting consumers' choice of distribution channel for the purchase decision-making process in Omni-channel environment: Focused on purchases of apparel. Unpublished master's thesis, Dong-A University, Busan.
  6. Balabanis, G., & Reynolds, N. L. (2001). Consumer attitudes towards multi-channel retailers’ web sites: The role of involvement, brand attitude, internet knowledge and visit duration. Journal of Business Strategies, 18(2), 105-131.
  7. Balasubramanian, S., Raghunathan, R., & Mahajan, V. (2005). Consumers in a multichannel environment: Product utility, process utility, and channel choice. Journal of Interactive Marketing, 19(2), 12-30. doi:10.1002/dir.20032
  8. Bellenger, D. N., & Korgaonkar, P. K. (1980). Profiling the recreational shopper. Journal of Retailing, 56(3), 77-92.
  9. Benjamin, R., & Wigand, R. (1995). Electronic markets and virtual value chains on the information superhighway. Sloan Management Review, 36(2), 62-72.
  10. Bhattacharjya, J., Ellison, A., & Tripathi, S. (2016). An exploration of logistics-related customer service provision on Twitter: The case of e-retailers. International Journal of Physical Distribution & Logistics Management, 46(6/7), 659-680. doi:10.1108/ijpdlm-01- 2015-0007
  11. Bilgihan, A., Okumus, F., Nusair, K., & Bujisic, M. (2014). Online experiences: Flow theory, measuring online customer experience in e-commerce and managerial implications for the lodging industry. Information Technology & Tourism, 14(1), 49-71. doi:10. 1007/s40558-013-0003-3 https://doi.org/10.1007/s40558-013-0003-3
  12. Capon, N., & Davis, R. (1984). Basic cognitive ability measures as predictors of consumer information processing strategies. Journal of Consumer Research, 11(1), 551-563. doi:10.1086/208991
  13. Chae, J. M. (2019). A study on consumer’s channel transition behavior in the information search and purchase channel. Fashion & Textile Research Journal, 21(6), 743-753. doi:10.5805/SFTI.2019.21.6.743
  14. Cheema, A., & Papatla, P. (2010). Relative importance of online versus offline information for Internet purchases: Product category and Internet experience effects. Journal of Business Research, 63(9/10), 979-985. doi:10.1016/j.jbusres.2009.01.021
  15. Chiu, H. C., Hsieh, Y. C., Roan, J., Tseng, K. J., & Hsieh, J. K. (2011). The challenge for multichannel services: Cross-channel free-riding behavior. Electronic Commerce Research and Applications, 10(2), 268-277. doi:10.1016/j.elerap.2010.07.002
  16. Choi, H. S., & Yang, S. B. (2016). An empirical study on influencing factors of switching intention from online shopping to webrooming. Journal of Intelligence and Information Systems, 22(1), 19-41. doi:10.13088/jiis.2016.22.1.019
  17. Choi, N. H., & Choi, K. S. (2002). The study of emotional effect on brand evaluation: Based on internal memory and external stimuli. Journal of Marketing Management Research, 7(3), 1-32.
  18. Cox, D. F. (1967). Risk taking and information handling in consumer behavior. Boston, MA: Division of Research, Graduate School of Business Administration, Harvard University.
  19. Dawson, S., Bloch, P. H., & Ridgway, N. M. (1990). Shopping motives, emotional sates, and retail outcomes. Journal of Retailing, 66(4), 408-427.
  20. Detlor, B., Sproule, S., & Gupta, C. (2003). Pre-purchase online information seeking: Search versus browse. Journal of Electronic Commerce Research, 4(2), 72-84.
  21. Dholakia, R. R., Zhao, M., & Dholakia, N. (2005). Multichannel retailing: A case study of early experiences. Journal of Interactive Marketing, 19(2), 63-74. doi:10.1002/dir.20035
  22. Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1995). Consumer behavior (8th ed.). Fort Worth, TX: Dryden Press.
  23. Evans, K. (2012, December 10). 43% of U.S. adults participate in showrooming. Digital Commerce 360. Retrieved February 3, 2020, from https://www.digitalcommerce360.com/2012/12/10/43-us-adults-participate-showrooming
  24. Fei, P. (2018). The effect of consumer perceived risk on perceived value, trust and brand loyalty: Focusing on online shopping malls. Unpublished doctoral dissertation, Gachon University, Seongnam.
  25. Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business Research, 56(11), 867-875. doi:10.1016/s0148-2963(01)00273-9
  26. Gong, H. I. (2019, June 3). 온라인과 오프라인을 넘나드는 '크 로스오버 쇼퍼', 소비 트렌드가 바뀐다 ['Crossover shopper' across online and offline, consumption trend is changing]. Sobilife. Retrieved September 23, 2019, from http://www.sobilife.com/ news/articleView.html?idxno=21243
  27. Ha, K. O., Lee, J. H., & Hwang, S. H. (2015). A study on consumer’s shopping channel choice according to consumer purchase characteristics. Journal of Channel and Retailing, 20(4), 177-199.
  28. Hair, J. F., Jr., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). Upper Saddle River, NJ: Pearson Education.
  29. Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50-68. doi:10.1177/002224299606000304
  30. Horton, R. L. (1976). The structure of perceived risk: Some further progress. Journal of the Academy of Marketing Science, 4(4), 694-706. doi:10.1007/BF02729830
  31. Hwang, S. J., & Kim, H. J. (2008). The influence of consumer’s shopping value and brand alliances on purchasing behavior for apparel products of internet private brand. Journal of the Korean Society of Clothing and Textiles, 32(2), 247-258. doi:10.5850/ JKSCT.2008.32.2.247
  32. Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. Proceedings of the Third Annual Conference of the Association for Consumer Research (pp. 382-393). Chicago, IL, USA: Association for Consumer Research.
  33. Jang, H. H., Kang, S. G., & Zhou, Y. (2014). A study on new consumption behaviors in the Korean online and offline retail markets: Focusing on showrooming and reverse showrooming. E- Trade Review, 12(1), 29-51. doi:10.17255/etr.12.1.201402.29
  34. Jarvenpaa, S. L., & Todd, P. A. (1997). Is there a future for retailing on the Internet. In R. A. Peterson (Ed.). Electronic marketing and the consumer (pp. 139-154). Thousand Oaks, CA: Sage Publications.
  35. Kalakota, R., & Whinston, A. B. (1997). Electronic commerce: A manager's guide. Reading, MA: Addison-Wesley.
  36. Kalyanam, K., & Tsay, A. A. (2013). Free riding and conflict in hybrid shopping environments: Implications for retailers, manufacturers, and regulators. The Antitrust Bulletin, 58(1), 19-68. doi:10.1177/ 0003603X1305800102
  37. Kim, M. H. (2014). 쇼루밍 & 리버스 쇼루밍 트렌드: 유통업계 온 .오프라인 시너지 살려야 [Showrooming & reverse showrooming trend]. LG Business Insight, 1328, 16-24.
  38. Kim, S. H., Park, G. Y., & Park, H. J. (2007). Factors influencing buyers’ choice of online vs. offline channel at information search and purchase stages. Journal of Channel and Retailing, 12(3), 69-90.
  39. Lee, H. H., & Kim, J. H. (2008). The effects of shopping orientations on consumers’ satisfaction with product search and purchases in a multi-channel environment. Journal of Fashion Marketing and Management: An International Journal, 12(2), 193-216. doi:10.1108/ 13612020810874881
  40. Lee, H. S., Ahn, K. H., & Ha, Y. W. (2004). 소비자 행동: 마케팅 전략적 접근 [Consumer behavior: Decision making] (3rd ed.). Seoul: Bobmunsa.
  41. Lee, H. S., & Lim, J. H. (2011). 구조방정식 모형분석과 AMOS 18.0/19.0 [Structural equation modeling with AMOS 18.0/19.0] Seoul: JypHyunJae Publishing.
  42. Lee, J. M., & Rha, J. Y. (2012). Consumers’ channel choice and channel positioning in multichannel environment. Journal of Consumer Policy Studies 41, 143-169. doi:10.15723/jcps.41.201204.143
  43. Lee, J. S., Jung, S. H., & Shin, M. K. (2012). A study on multichannel consumer’s choice of the information search and shopping channel. Journal of Consumption Culture, 15(3), 21-45. doi:10. 17053/jcc.2012.15.3.002
  44. Lee, W. H. (1997). A study on psychological clothing selection factors and information seeking activities which is followed by clothing involvement of the new generation. Unpublished master's thesis, Kyung-Hee University, Seoul.
  45. Lumpkin, J. R. (1985). Shopping orientation segmentation of the elderly consumer. Journal of the Academy of Marketing Science, 13(1/2), 271-289. doi:10.1007/BF02729720
  46. Lynch, J. G., Jr., & Ariely, D. (2000). Wine online: Search costs affect competition on price, quality, and distribution. Marketing Science, 19(1), 83-103. doi:10.1287/mksc.19.1.83.15183
  47. Min, S. K. (2008). A study on obstruction factor where affects in buying decision-making of the internet consumers. Unpublished doctoral dissertation, Cheong-ju University, Cheongju.
  48. Mitchell, V. W. (1992). Understanding consumers’ behavior: Can perceived risk theory help?. Management Decision, 30(3), 26-31. doi:10.1108/00251749210013050
  49. Mittal, B. (1989). Must consumer involvement always imply more information search?. Advances in Consumer Research, 16, 167- 172.
  50. Murray, K. B. (1991). A test of services marketing theory: Consumer information acquisition activities. Journal of Marketing, 55(1), 10-25. doi:10.1177/002224299105500102
  51. Neslin, S. A., Grewal, D., Leghorn, R., Shankar, V., Teerling, M. L., Thomas, J. S., & Verhoef, P. C. (2006). Challenges and opportunities in multichannel customer management. Journal of Service Research, 9(2), 95-112. doi:10.1177/1094670506293559
  52. Noble, S. M., Griffith, D. A., & Weinberger, M. G. (2005). Consumer derived utilitarian value and channel utilization in a multi-channel retail context. Journal of Business Research, 58(12), 1643-1651. doi:10.1016/j.jbusres.2004.10.005
  53. Oh, J. A. (2018). A study on the status of showrooming based on the analysis of consumer purchasing behavior. Journal of Cultural Product & Design, 55, 59-70. doi:10.18555/kicpd.2018.55.6
  54. Park, C. (2000a). 실물구매의도와 인터넷 구매의도간의 차이요 인에 관한 실험연구: 소비자특성, 상품유형, 가격, 상표를 중심으로 [Experimental study on difference factors of purchasing intention between off-line and internet]. Advertising Research, 47, 37-60.
  55. Park, C. (2000b). The internet navigation value and interneet shopping behavior. Korean Journal of Marketing, 15(1), 143-162.
  56. Park, S. R., & Kim, M. S. (2016). Influences of channel assessment on the usage levels of multi-channels by product category in decision making process for purchasing fashion products. The Research Journal of the Costume Culture, 24(6), 803-816. doi:10.29049/ rjcc.2016.24.6.803
  57. Peterson, R. A. (1997). Electronic marketing: Visions, definitions, and implications. In R. A. Peterson (Ed.). Electronic marketing and the consumer (pp. 1-6). Thousand Oaks, CA: Sage Publications.
  58. Raman, N. V., & Leckenby, J. D. (1998). Factors affecting consumers, “Webad” visits. European Journal of Marketing, 32(7/8), 737-748. doi:10.1108/03090569810224128
  59. Rohm, A. J., & Swaminathan, V. (2004). A typology of online shoppers based on shopping motivations. Journal of Business Research, 57(7), 748-757. doi:10.1016/S0148-2963(02)00351-X
  60. Ryou, E. J. (1991). A study on clothing purchasing behavior which is followed by clothing involvement: As object of college women. Unpublished master's thesis, Ewha Womans University, Seoul.
  61. Schiffman, L. G., & Kanuk, L. L. (1994). Consumer behavior (5th ed.). Englewood Cliffs, NJ: Prentice Hall,
  62. Schoenbachler, D. D., & Gordon, G. L. (2002). Multi-channel shopping: Understanding what drives channel choice. Journal of Consumer Marketing, 19(1), 42-53. doi:10.1108/07363760210414943
  63. Schwartz, E. I. (1999). Webonomics: Nine essential principles for growing your business on the World Wide Web (J. M. Ko & B. T. Kang, Trans.). Seoul: Sejongbooks. (Original work published 1997)
  64. Shim, S., & Kotsiopulos, A. (1993). A typology of apparel shopping orientation segments among female consumers. Clothing and Textiles Research Journal, 12(1), 73-85. doi:10.1177/0887302X9301200110
  65. Shin, B. S., & Park, J. Y. (2006). The effect of the consumer's perceived risk on the level of information search. Journal of Global Academy of Marketing Science, 16(3), 143-167. https://doi.org/10.1080/12297119.2006.9707375
  66. Song, M, R., & Yeo, J. S. (2001). The adoption of internet in consumer decision making. Journal of Consumer Studies, 12(2), 119-141.
  67. Sundaram, D. S., & Taylor, R. D. (1998). An investigation of external information search effort: Replication in in-home shopping situations. Advances in Consumer Research, 25, 440-445.
  68. 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
  69. Tan, S. J. (1999). Strategies for reducing consumers' risk aversion in Internet shopping. Journal of Consumer Marketing, 16(2), 163-180. doi:10.1108/07363769910260515
  70. Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi- channel retailing to omni-channel retailing: Introduction to the special issue on multi-channel retailing. Journal of Retailing, 91(2), 174-181. doi:10.1016/j.jretai.2015.02.005
  71. Ward, M. R., & Morganosky, M. (2000). Online consumer search and purchase in a multiple channel environment. Working paper, Department of Agricultural and Consumer Economics, University of Illinois, Urbana-Champaign, Champaign, IL, USA. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.470. 3369&rep=rep1&type=pdf
  72. Yi, H. T., & Yeom, M. S. (2016). An investigation into the determination of show-rooming: Focused on migration theory. Journal of the Korea Service Management Society, 17(4), 65-88. doi:10.15706/jksms.2016.17.4.004
  73. Yu, J. P. (2012). (우종필 교수의) 구조방정식모델 개념과 이해: Amos 4.0-20.0 [Concept and understanding of structural equation model]. Seoul: Hannarae Publishing.