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모바일 소셜커머스 이용자의 충동구매에 영향을 미치는 요인

Exploring Factors of Consumer's Impulsive Buying Behavior in Mobile Social Commerce

  • 투고 : 2018.12.12
  • 심사 : 2019.02.20
  • 발행 : 2019.02.28

초록

모바일 소셜커머스는 최근 모바일 쇼핑의 빠른 확산 중에서도 가장 빠르게 성장하는 유통채널이다. 따라서 경쟁이 심화되는 모바일 소셜커머스 시장에서 지속적으로 성장하기 위해 모바일 소셜커머스에서의 고객 구매행동에 대한 이해가 중요하다. 이에 본 연구는 모바일 소셜커머스 시장에서 소비자 태도 실증을 위해 온라인 쇼핑에서 고객 행동 관련 연구에서 다수 활용된 충동구매(Impulsive buying behavior)가 모바일 쇼핑에서 어떻게 적용되며, 충동구매에 영향을 미치는 요인이 무엇인지 확인했다. 연구는 모바일 소셜커머스 경험자를 대상으로 진행한 설문 중 총 280부의 데이터를 Smart PLS 3.0을 통해 분석하여 진행했다. 결과적으로 개인적 특성 중 소비자의 혁신성과 구매경험이 모바일 소셜커머스에서 충동구매에 영향을 미치고, 제공되는 정보의 속성 중 희소성메세지가 충동구매에 영향을 미치는 것을 확인했다. 본 연구를 통해 기존 온라인 쇼핑에서 많이 활용된 고객 행동 관련 변수인 충동구매를 모바일 쇼핑으로 확장하여 살펴보았다는데 이론적 시사점이 있으며, 실무적으로 모바일 소셜커머스 시장에서의 고객 전략 수립에 유효한 시사점을 제공할 것이다.

Mobile social commerce is one of the fastest growing distribution channels in recent years. Therefore, it is important to understand customer's buying behavior in mobile social commerce in order to continuously grow in the competitive mobile social commerce market. To achieve the purpose of this study is to investigate how impulsive buying behaviors are applied in mobile shopping and how factors affect impulse purchasing in online shopping. In order to verify the hypothesis, we surveyed the customers who have experiences of using mobile social commerce and analyzed 280 valid data by Smart PLS 3.0. As a result, it was confirmed that consumers' innovation and purchasing experience influenced impulse purchase in mobile social commerce, and scarcity messages among information attributes affect impulse buying. Through this study, impulsive buying behavior which is a frequently analyzed variable in an online shopping context will be extended to the mobile shopping context. and it will provide practical implications for customer strategy establishment in mobile social commerce market.

키워드

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Fig. 1. Research model

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Fig. 2. Path coefficient

Table 1. Literature review on online impulsive buying behavior

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Table 2. Sample characteristics

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Table 3. Survey items of research construct

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Table 4. Reliability and Convergent validity

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Table 5. Discriminant validity and Correlation

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Table 6. Path coefficient

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Table 7. Comparison of path coefficients : Innovativeness

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Table 8. Comparison of path coefficients : Scarcity message

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Table 9. Comparison of path coefficients : Purchase experience

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참고문헌

  1. Statistics Korea, 2018.
  2. J. K. Koo. (2015). Market condition and future tasks of social commerce. KIET Industrial economic, 49, 34-42.
  3. Y. H. Kim. (2011). Market trends and Policy issues of Social commerce. ICT & Media Policy, 23(11), 41-63.
  4. B. S. Kim. (2013). The Effects of Perceived Crowding and Consumers' Shopping Patterns on Impulsive Buying in a Social Commerce Environment. The Journal of Internet Electronic Commerce Research, 13(2), 237-256. https://doi.org/10.1007/s10660-013-9114-3
  5. A. T. Stephen & O. Toubia. (2010). Deriving Value from Social Commerce Networks, Journal of Marketing Research", 47(2), 215-228. DOI : 10.1509/jmkr.47.2.215
  6. M. Anderson, J. Sims, J. Price & J. Brusa. (2011). Turning Like to Buy Social Media Emerges as a Commerce Channel: Booz & Company.
  7. C. Kim. (2010). Case study on overseas promotion and outlook of Social commerce. Digieco, 1-14.
  8. Y. I. Gong. (2010). Market trends and forecast of Daily Deal Service. ICT & Media Policy, 22(18), 65-74.
  9. T. O'Reilly. (2005.09.30), What is Web 2.0? http://www.oreillynet.com/pub/a/orilly/tim/news/2005/09/30/what-is-web-20.html
  10. Stratmann J. (2010). Social commerce - the future of e-commerce? Fresh Networks. http://www.freshnetworks.com/blog/2010/07/socialcommerce-futures-commerce
  11. H. Stern. (1962). The significance of impulse buying today. The Journal of Marketing, 59-62.
  12. Kollat, D. T., & Willett, R. P. (1967). Customer impulse purchasing behavior. Journal of marketing research, 21-31.
  13. C. J. Cobb & W. D. Hoyer. (1986). Planned versus impulsive behavior, Journal of Retailing, 62(4), 384-409.
  14. Rook, Dennis W. & Hoch, Stephen J. (1985). Consuming Impulse, Advance in Consumer Research, 12, 23-27.
  15. Hoch, S. J. & Loewenstein, G. F. (1991) Time-Inconsistent Preferences and Consumer Self-Control. Journal of Consumer Research, 17, 492-507. DOI : 10.1086/208573
  16. S. A. Jeffrey& R. Hodge. (2007). Factors influencing impulse buying during an online purchase. Electronic Commerce Research, 7, 367-379. DOI : 10.1007/s10660-007-9011-8
  17. Tibert Verhagen & Willemijn van Dolen. (2011). The influence of online store beliefs on consumer online impulse buying: A model and empirical application. Information & Management, 48, 320-327 DOI : 10.1016/j.im.2011.08.001
  18. J. S. Park & J. M. Lee. (2008). A Study on Affecting Factors of Impulsiveness Buying in the Internet Shopping Mall : Focus on Moderating of Browsing. Journal of Digital Convergence, 6(1), 93-104.
  19. G. Y. Kim, Y. H. Chang, S. M. Lee & Y. C. Park (2012). Determinants of Consumers' Impulsive Buying Behavior: Focus on Users of Social Commerce. Entrue Journal of Information Technology, 11(3), 71-88.
  20. S. J. Lee & S. Y. Shin. (2013). A Study on the Influential Factors of Impulsive Purchases by Female University Students in their 20's when Purchasing Fashion Products in Social Commerce. Fashion & Textile Research Journal, 15(5), 743-752. https://doi.org/10.5805/SFTI.2013.15.5.743
  21. L. H. Bae & U. L. H. (2003). The Impacts of Browsing on Buying Impulsiveness in Internet Shopping Malls. Korean Management Review, 32(5), 1235-1263.
  22. C. Park. (2000). The internet navigation value and internet shopping behavior. Korean Marketing Review, 15(1), 143-162.
  23. S. M. Jeong & K. H. Seon, (2004). The Relationship between Impulsive Buying Stimulus and Buying Experience in Cable TV Home Shopping. Family and Environment Research, 42(3), 105-118.
  24. H. G. Choi, J. M. Park & D. Y. Lee. (2007). A Study on the Influence of Customer Values on the Purchase Intention in Internet Shopping Mall. The Journal of Business Education, 17, 423-445.
  25. J. A. Ahn, (2008). Perceived Risk of Internet shopping mall brand consumers according to purchasing experience and the effect of perceived risk on information search and purchasing intension. Journal of Communication Science, 8(10), 161-194
  26. Brown, J. J. & Peter H. Reingen, P. H. (1987). Social Ties and Word-of-Mouth Referral Behavior, Journal of Consumer Research, 14(3), 350-362. DOI : 10.1086/209118
  27. Richins, Marsha & Root-Shaffer, Teri. (1988). The role of involvement and opinion leadership in consumer word-of-mouth: An implicit model made explicit. Advances in Consumer Research. 15. 32-36.
  28. Katz, E. & Lazarsfeld, P. F. (1955). Personal Influence, Glencoe, IL: Free Press.
  29. Chevalier, J. A. & Mayzlin, D. (2006). The Effect of Word of Mouth on Sales: Online Book Reviews, Journal of Marketing Research, 43(3), 345-354. DOI : 10.1509/jmkr.43.3.345
  30. Trusov, M., Bucklin, R. E. & Pauwels, K. (2009). Effects of word-of-mouth versus traditional marketing: findings from an internet social networking site. Journal of marketing, 73(5), 90-102. DOI :10.1509/jmkg.73.5.90
  31. Kaisheng, Z. (2010). Online Buying Impulsiveness and Word-of-Mouth Online in the E-Marketing Age: A Theoretical Model Approach. Paper presented at the Management of e-Commerce and e-Government (ICMeCG), 2010 Fourth International Conference on.
  32. Aberg, A, & Kurdieh, N. (2013). Impulse buying online: a visual, comparative enquiry into two mediums of grocery.
  33. J. S. Park, J. M. Lee. (2008). A Study on Affecting Factors of Impulsiveness Buying in the Internet Shopping Mall : Focus on Moderating of Browsing. Journal of Digital Convergence, 6(1), 93-104.
  34. Y. S. Cho. (2014). A study on the Determinants of Impulsive Purchase Expenditure in Internet Shopping. The e-Business Studies, 15(3), 433-450.
  35. Cialdini, R. B. (1985). Influence: Science and practice. Glenview, IL: Scott, Foreman.
  36. Lynn, M. (1991). Scarcity Effects on Value: A Quantitative Review of the Commodity Theory Literature, Psychology and Marketing, 8(1), 43-57. DOI : 10.1002/mar.4220080105
  37. S. J. Choi. (2016). The Influence of Scarcity Message on Customers Perceived Value, Satisfaction, and Repurchase Intention in the Context of Group-Buying Social Commerce. Journal of Information Technology Applications & Management, 23(1), 97-117. DOI : 10.21219/jitam.2016.23.1.097
  38. Gotsi, M. & Wilson, A. M. (2001). Corporate reputation: seeking a definition. Corporate communications: An international journal, 6(1), 24-30. DOI :10.1108/13563280110381189
  39. Luo, W. & Chung, Q. B. (2010). Retailer reputation and online pricing strategy. Journal of Computer Information Systems, 50(4), 50-56. DOI :10.1080/08874417.2010.11645430
  40. C. Park, & T. M. Lee. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business research, 62(1), 61-67. DOI : 10.1016/j.jbusres.2007.11.017
  41. H. J. Cho, S. J. Shin & J. G. Song. (2012). A study on the Influential factors of consumer satisfaction in social commerce, Journal of the Korean Society of Management Information System, 12(1), 102-110.
  42. S. W. Shin & J. H. Kim. (2013). The Effects of Reply Valence, Consensus and Friend's Recommendation on the Word-of-Mouth Diffusion and Purchase Intention within the Context of Social Network Service The e-Business Studies, 14(5), 3-32.
  43. Y. T. Lim, (2013), An Effect of On-line Consumers' Characteristics on Impulse Buying and Planned Purchasing Behavior. The Journal of Internet Electronic Commerce Research, 13(3), 257-273. https://doi.org/10.1007/s10660-013-9120-5
  44. Chin, W. W. (1998). The Partial Least Squares Approach to Structural Equation Modeling, Marcoulides, G A. (ed.), Modern Methods for Business Research, Lawrence Erlbaum, Mahway, NJ, USA.
  45. 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
  46. Mittelstadt, R. A., Grossbart, S. L., Curtis, W. W. & Devere, S. P. (1976). Optimal Stimulation Level and the Adoption Decision Process, Journal of Consumer Research, 3, 84-100. DOI : 10.1086/208655
  47. Y. Yun & S. W. Baeg. (2003). Perceived Risks and Consumer Characteristics on Internet Shopping. The Korean Journal of Consumer and Advertising Psychology, 4(2), 73-103.
  48. Zhang, K. Z. & Benyoucef, M. (2016). Consumer behavior in social commerce: A literature review. Decision Support Systems, 86, 95-108. DOI : 10.1016/j.dss.2016.04.001
  49. D. W. Lee, T. Y. Kang & D. H. Park. (2014). The Research on PC-based Versus Mobile Device-based Shopping Behavior Depending on Consumer Purchase Decision Process: Focusing on Task-Technology Fit Theory. Entrue Journal of Information Technology, 13(3), 107-121.
  50. Liang, T. P. & Lai, H. J. (2002). Effect of store design on consumer purchases: an empirical study of on-line bookstores. Information & Management, 39(6), 431-444. DOI : 10.1016/S0378-7206(01)00129-X
  51. Cheng Shuang, K. R. Lee & S. J. Lee. (2017). Study on Chinese Repurchase Intention of Group-buying Social Commerce : The Moderating Role of Shopping Habit. Journal of the Korea Convergence Society, 8(2), 169-181. DOI : 10.15207/JKCS.2017.8.2.169
  52. W. J Lee. (2017). Factors on the Satisfaction of Korean Medical Tour Convergence Services of Chinese College Students. Journal of the Korea Convergence Society, 8(2), 53-62. DOI : 10.15207/JKCS.2017.8.2.053
  53. S. S. Shin, M. Y. Shin, Y. S. Jeong & J. H. Lee. (2015). An Investigation of Social Commerce Service Quality on Consumer's Satisfaction, Journal of Convergence for Information Technology, 5(2), 27-32. https://doi.org/10.22156/CS4SMB.2015.5.2.027