DOI QR코드

DOI QR Code

Social Cues, E-Social Ambience, and Emotions in Web-Based Fashion Retailing: A Case of U.S. Shoppers

  • Lee, Eun-Jung (The Fashion School, College of the Arts, Kent State University)
  • Received : 2012.11.05
  • Accepted : 2012.12.21
  • Published : 2012.12.31

Abstract

In-store atmospherics involve quantified physical and social aspects; however, the social quality of a web-based retailing context has largely been under-examined. This study addressed some antecedents and consequences of social ambience in virtual shopping (or e-social ambience) within a web-based U.S. retailing fashion context. This study explored the role of social cues as a viable antecedent to e-social ambience and emotions as its consequence. A conceptual framework was built postulating the effect of social cue for web content, on e-social ambience, emotions, and e-shopping enjoyment. The experimental results (n=488) on a fictitious retail T-shirt website confirmed the positive correlation among the variables; in addition, the level of social cues included within the web content significantly increased the level of customer-perceived e-social ambience of the website and subsequent positive on-site emotions. On-site emotions positively influence purchase intentions. The results expand the current understanding of e-store management by providing novel insight relevant to fashion companies that wish to provide customers with a quality website shopping experience.

Keywords

References

  1. 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. https://doi.org/10.1086/209376
  2. Bagozzi, R. P. (1986). Principles of marketing management. Chicago: Science Research Associates, Inc.
  3. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74−94. https://doi.org/10.1007/BF02723327
  4. 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. https://doi.org/10.1177/0092070394224002
  5. Bridges, E., & Florsheim, R. (2008). Hedonic and utilitarian shopping goals: The online experience. Journal of Business Research, 61(4), 309−314. https://doi.org/10.1016/j.jbusres.2007.06.017
  6. Cheshin, A., Rafaeli, A., & Bos, N. (2011). Anger and happiness in virtual teams: Emotional influences of text and behavior on others' affect in the absence of nonverbal cues. Organizational Behavior and Human Decision Processes, 116(1), 2−16. https://doi.org/10.1016/j.obhdp.2011.06.002
  7. Cohen, S., & Wills T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310−357. https://doi.org/10.1037/0033-2909.98.2.310
  8. Dautenhahn, K., Ogden, B., & Quick, T. (2002). From embodied to socially embedded agents: Implications for interaction-aware robots. Cognitive Systems Research, 3(3), 397−428. https://doi.org/10.1016/S1389-0417(02)00050-5
  9. Derks, D., Bos, A. E. R., & Grumbkow, J. (2007). Emoticons and social interaction on the Internet: The importance of social context. Computers in Human Behavior, 23(1), 842−849. https://doi.org/10.1016/j.chb.2004.11.013
  10. Donovan, R. J., & Rossiter, J. R. (1982). Store atmosphere: An environmental psychology approach. Journal of Retailing, 58, 34−57.
  11. Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology and Marketing, 20 (2), 139−150.
  12. Eroglu, S. A., Machleit, K. A., & Barr, T. F. (2005). Perceived retail crowding and shopping satisfaction: The role of shopping values. Journal of Business Research, 58 (8), 1146−1153. https://doi.org/10.1016/j.jbusres.2004.01.005
  13. Festinger, L., Pepitone, A., & Newcomb, T. (1952). Some consequences of de-individuation in a group. Journal of Abnormal and Social Psychology, 47(2), 382−389. https://doi.org/10.1037/h0057906
  14. Fiore, A. M., Kim, J., & Lee, H. H. (2005). Effect of image interactivity technology on customer responses toward the online retailer. Journal of Interactive Marketing, (3), 38−53.
  15. Floyd, M. F. (1997). Pleasure, arousal, and dominance: Exploring affective determinants of recreation satisfaction. Leisure Sciences: An Interdisciplinary Journal, 19 (2), 83−96. https://doi.org/10.1080/01490409709512241
  16. Garrison, D. R., Anderson, T., & Archer, W. (1999). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2-3), 87−105. https://doi.org/10.1016/S1096-7516(00)00016-6
  17. Gunawardena, C. N., & Zittle, F. J. (1997). Social presence as a predictor of satisfaction within a Computer-Mediated Conferencing environment. American Journal of Distance Education, 11(3), 8−26. https://doi.org/10.1080/08923649709526970
  18. Ha, S., & Stoel, L. (2012). Online apparel retailing: Roles of e-shopping quality and experiential e-shopping motives. Journal of Service Management, 23(2), 197−215. https://doi.org/10.1108/09564231211226114
  19. Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumeropinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1), 38−52. https://doi.org/10.1002/dir.10073
  20. Hoffman, D. L., & Novak, T. P. (2009). Flow online: Lessons learned and future prospects. Journal of Interactive Marketing, 23(1), 23−34. https://doi.org/10.1016/j.intmar.2008.10.003
  21. Jacoby, J. (2002). Stimulus-organism-response reconsidered: An evolutionary step in modeling (consumer) behavior. Journal of Consumer Psychology, 12(1), 51−57. https://doi.org/10.1207/S15327663JCP1201_05
  22. Kahai, S. S. (2009). Anonymity and counter-normative arguments in computer-mediated discussions. Group and Organization Management, 34(4), 449−478. https://doi.org/10.1177/1059601108330064
  23. Kato, Y., Kato, S., & Akahori, K. (2007). Effects of emotional social cues transmitted in e-mail communication on the emotions experienced by senders and receivers. Computers in Human Behavior, 23(4), 1894−1905. https://doi.org/10.1016/j.chb.2005.11.005
  24. Klein, L. R. (2003). Creating virtual product experiences: The role of telepresence. Journal of Interactive Marketing, 17(1),41−55. https://doi.org/10.1002/dir.10046
  25. Lee, E. J. (2010). The effect of quasi social cues on website attitudes: Social presence and social support approach. Advances in Consumer Research, 37, 531−533.
  26. Lee, H. H., Kim, J., & Fiore, A. M. (2010). Affective and cognitive online shopping experience: Effects of image interactivity technology and experimenting with appearance. Clothing and Textiles Research Journal, 28(2), 140−154. https://doi.org/10.1177/0887302X09341586
  27. Lee, K. M., Park, N., & Song, H. (2005). Can a robot be perceived as a developing creature? Effects of a robot's long-term cognitive developments on its social presence and people's social responses toward it. Human Communication Research, 31(4), 538−563.
  28. Mathwick, C., Wagner, J., & Unni, R. (2010). Computer-mediated customization tendency (CMCT) and the adaptive e-service experience. Journal of Retailing, 86(1), 11−21. https://doi.org/10.1016/j.jretai.2009.11.001
  29. Mehrabian, A., & Russell, J. A. (1974). Anapproach to environmental psychology. Cambridge: MIT Press.
  30. Mollen, A., & Wilson, H. (2010). Engagement, telepresence, and interactivity in online consumer experience: Reconciling scholastic and managerial perspectives. Journal of Business Research, 63(9-10), 919−925. https://doi.org/10.1016/j.jbusres.2009.05.014
  31. Moreno, R., & Mayer, R. E. (2000). Engaging students in active learning: The case for personalized multimedia messages. Journal of Educational Psychology, 92(4), 724− 733.
  32. Mummalaneni, V. (2005). An empirical investigation of web site characteristics, consumer emotional states and online shopping behaviors. Journal of Business Research, 58(4), 526−532. https://doi.org/10.1016/S0148-2963(03)00143-7
  33. Nasr Bechwati, N., & Xia, L. (2003). Do computers sweat? The impact of perceived effort of online decision aids on consumers' satisfaction with the decision process. Journal of Consumer Psychology, 13(1-2), 139−148. https://doi.org/10.1207/S15327663JCP13-1&2_12
  34. Novak, T. P., Hoffman, D. L., & Yung, Y. F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19 (1), 22−42. https://doi.org/10.1287/mksc.19.1.22.15184
  35. Nunnally, J. C. (1978), Psychometric theory (2nd ed.). New York: McGraw-Hill.
  36. Rubin, R. B., & McHugh, M. P. (1987). Development of parasocial interaction relationships. Journal of Broadcasting and Electronic Media, 13(3), 279−292.
  37. Rutter, D. R. (1987). Communicating by telephone. Oxford: Pergamon Press.
  38. Sautter, P., Hyman, M. R., & Lukosius, V. (2004). E-tail atmospherics: A critique of the literature and model extension. Journal of Electronic Commerce Research, 5(1), 14−24.
  39. Sheridan, T. B. (1992). Musings on telepresence and virtual presence. Presence: Teleoperators and Virtual Environments, 1(1), 120−126. https://doi.org/10.1162/pres.1992.1.1.120
  40. Sherman, E., Mathur, A., & Smith, R. B. (1997). Store environment and consumer purchase behavior: Mediating role of consumer emotions. Psychology & Marketing, 14(4), 361−378. https://doi.org/10.1002/(SICI)1520-6793(199707)14:4<361::AID-MAR4>3.0.CO;2-7
  41. Shop.Org. (2011). The state of retail online. shop.org. Retrieved September 10, 2012, from http://www.shop.org
  42. Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. London: Wiley.
  43. Sohn, D. (2011). Anatomy of interaction experience: Distinguishing sensory, semantic, and behavioral dimensions of interactivity. New Media & Society, 13(8), 1320−1335. https://doi.org/10.1177/1461444811405806
  44. Song, J. H., & Zinkhan, G. M. (2008). Determinants of perceived web site interactivity. Journal of Marketing, 72(2), 99−113. https://doi.org/10.1509/jmkg.72.2.99
  45. Sproull, L., & Kiesler, S. (1986). Reducing social context cues: Electronic mail in organizational communication. Management Science, 32(11), 1492−1512. https://doi.org/10.1287/mnsc.32.11.1492
  46. Tanis, M., & Postmes, T. (2006). Social cues and impression formation in CMC. Journal of Communication, 53(4), 676−693.
  47. Walther, J. B. (1992). Interpersonal effects in computer-mediated interaction: A relational perspective. Communication Research, 19(1), 52−90. https://doi.org/10.1177/009365092019001003
  48. Walther, J. B., & Tidwell, L. C. (1995). Nonverbal cues in computer-mediated communication, and the effects of chronemics on relational communication. Journal of Organizational Computing, 5(4), 355−378. https://doi.org/10.1080/10919399509540258
  49. Wang, L. C., Baker, J., Wagner, J. A., & Wakefield, K. (2007). Can a retail web site be social? Journal of Marketing, 71(3), 143−157. https://doi.org/10.1509/jmkg.71.3.143
  50. Yee, N. (2006). Motivations of play in online games. Cyber Psychology and Behavior, 9(6), 772−775. https://doi.org/10.1089/cpb.2006.9.772
  51. Yoo, C., Park, J., & Maclnnis, D. J. (1998). Effects of store characteristics and in-store emotional experiences on store attitude. Journal of Business Research, 42(3), 253− 263. https://doi.org/10.1016/S0148-2963(97)00122-7
  52. Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31−46. https://doi.org/10.2307/1251929

Cited by

  1. The Facebook page communication strategy of high-end fashion department stores in the United States vol.17, pp.4, 2013, https://doi.org/10.12940/jfb.2013.17.4.177
  2. The Effects of Social Quality on Suicide Ideation of Korean Elderly vol.13, pp.3, 2015, https://doi.org/10.14400/JDC.2015.13.3.271