Consumption of Visual Cues in Computer-Mediated Environments

CHOI, Hwanho. (2020). Consumption of Visual Cues in Computer-Mediated Environments. The Journal of Distribution Science(JDS), 18(8), 23-33, https://doi.org/https://doi.org/10.15722/jds.18.8.202008.23

복사

Abstract

Purpose: In the digital age, visual cues in computer-mediated environments are becoming a very popular means of communication. Therefore, it is a very critical market for marketers to utilize for marketing communication and platform providers and manufacturers of mobile devices which create and distribute the visual cues While the prevalent research on visual cue consumption focuses on the positive side, the dark side of consuming visual cues has not been investigated. Therefore, in this research, the dark side of using visual cues, such as difficulties and problems in their application, will be investigated. Research design, data, and methodology: Due to the nature of this study, a netnography approach was adopted. Twitter which the users regularly utilise visual cues in their communications was a prime source for data of this research. Results: This research suggests that visual cue users experience anxiety about the subordination of expression and suffer from the myth of an ideal practice of expression. Conclusions: As the previous research emphasised the complementary role of visual cues, has failed to recognise the problems associated with the extensive and growing dependence on visual cues. This awareness demonstrates that we need to take a careful approach to visual cue usage.

keywords: Visual cue, Consumption of Visual Cues, Distribution of Visual Cues, Limitations

참고문헌

Belk, R., Fischer, E., & Kozinets, R. (2013). Qualitative consumer & marketing research. London, United Kingdom: SAGE.

Bhandari, R. S., & Bansal, S. (2018). Prospects and challenges of social media marketing: Study of Indian management institutes. Journal of Business Economics and Environmental Studies, 8(4), 5-15. https://doi.org/10.13106/eajbm.2018.vol 8.no4.5

Bozaci, I. (2020). The effect of boredom proneness on smartphone addiction and impulse purchasing: A field study with young consumers in turkey. Journal of Asian Finance, Economics and Business, 7(7), 509-517. https://doi.org/10.13106/jafeb.2020.vol7.no7.509

Casado-Molina, A. M., Rojas-de Gracia, M. M., AlarconUrbistondo, P., & Romero-Charneco, M. (2019). Exploring the Opportunities of the Emojis in Brand Communication: The Case of the Beer Industry. International Journal of Business Communication. Retrieved from https://journals.sagepub.com/doi/full/10.1177/2329488419832964

Cha, Y., & Kwon, Y. (2018). Why Korean young women consumers buy luxury goods? The influence of cultural orientation and media use. Journal of Business Economics and Environmental Studies, 8(2), 23-32.https://doi.org/10.13106/eajbm.2018.vol8.no2.23

Chen, C. (2016). Forming digital self and parasocial relationships on YouTube. Journal of Consumer Culture, 16(1), 232-254. https://doi.org/10.1177%2F1469540514521081

Cho, J., & Kim, B. (2012). Knowledge management strategy of a franchise business: The case of a Paris Baguette Bakery. Journal of Distribution Science, 10(6), 39-53.

Choi, N., Zhang, J., & Chen, C. (2018). Store’s visual sensory cues, emotion, and reusage intention. Journal of Distribution Science, 16(2), 35-45.https://doi.org/10.15722/jds.16.2.201802.35

Crystal, D. (2001). Language and the internet. Cambridge, United Kingdom: Cambridge University Press.

10.

Danesi, M. (2017). The semiotics of emoji. New York, NY:Bloomsbury.

11.

Das, G., Wiener, H. J. D., & Kareklas, I. (2019). To emoji or not to emoji? Examining the influence of emoji on consumer reactions to advertising. Journal of Business Research,96(March), 147-156. https://doi.org/10.1016/j.jbusres.2018. 11.007

12.

Derks, D., Fischer, A. H., & Bos, A. E. R. (2008). The role of emotion in computer-mediated communication: A review. Computers in Human Behavior, 24(3), 766-785. https://doi.org/10.1016/j.chb.2007.04.004

13.

Dey, I. (1993). Qualitative data analysis: A user-friendly guide for social scientists. London, United Kingdom: Routledge.

14.

Dresner, E., & Herring, S. C. (2010). Functions of the nonverbal in CMC: Emoticons and illocutionary force. Communication Theory, 20(3), 249-268. https://doi.org/10.1111/j.1468-2885.2010.01362.x

15.

Dunlap, J. C., & Lowenthal, P. R. (2009). Tweeting the night away:Using Twitter to enhance social presence. Journal of Information Systems Education, 20(2), 129-135. https://aisel. aisnet.org/jise/vol20/iss2/2/

16.

Epley, N., & Kruger, J. (2005). When what you type isn’t what they read: The perseverance of stereotypes and expectancies over e-mail. Journal of Experimental Social Psychology, 41(4),414-422. https://doi.org/10.1016/j.jesp.2004.08.005

17.

Garrison, A., Remley, D., Thomas, P., & Wierszewski, E. (2011). Conventional faces: Emoticons in instant messaging discourse. Computers and Composition, 28(2), 112-125.https://doi.org/10.1016/j.compcom.2011.04.001

18.

Glaser, B. G., & Strauss, A. L. (2008). The discovery of grounded theory: Strategies for qualitative research. London, United Kingdom: AldineTransation.

19.

Hooda, A., & Ankur (2018). Acceptance of social media as a marketing tool: A quantitative study. Journal of Business Economics and Environmental Studies, 8(3), 5-12. https://doi.org/10.13106/eajbm.2018.vol8.no3.5

20.

Janssen, J. H., IJsselsteijn, W. A., & Westerink, J. H. D. M. (2014). How affective technologies can influence intimate interactions and improve social connectedness. International Journal of Human-Computer Studies, 72(1), 33–43.https://doi.org/10.1016/j.ijhcs.2013.09.007

21.

Jones, L. L., Wurm, L. H., Norville, G. A., & Mullins, K. L.(2020). Sex differences in emoji use, familiarity, and valence. Computers in Human Behavior, 108(July), 106305. https://doi.org/10.1016/j.chb.2020.106305

22.

Kaye, L. K., Wall, H. J., & Malone, S. A. (2016). Turn that frown upside-down: A contextual account of emoticon usage on different virtual platforms. Computers in Human Behavior,60(July), 463-467. https://doi.org/10.1016/j.chb.2016.02.088

23.

Kim, H., Kim, H., & Lee, M. (2020). An empirical study of the Korean telecommunication market and IoT Smart Home:Effects of Bundling Strategy on Consumers’ Responses. Journal of Distribution Science, 18(5), 15-23. https://doi.org/10.15722/jds.18.5.202005.15

24.

Kim, W., & Park, H. (2020). The effect of image search, social influence characteristics and anthropomorphism on purchase intention in mobile shopping. Journal of Industrial Distribution & Business, 11(6), 41-53.http://dx.doi.org/10.13106/jidb.2020.vol11.no6.41

25.

Konrad, A., Herring, S. C., & Choi, D. (2020). Sticker and emoji use in facebook messenger: Implications for graphicon change. Journal of Computer-Mediated Communication, 25(3), 217-235. https://doi.org/10.1093/jcmc/zmaa003

26.

Kozinets, R. (2002). The field behind the screen: Using netnography for marketing research in online communities. Journal of Marketing Research, 39(1), 61-72. https://doi.org/10.1509%2Fjmkr.39.1.61.18935

27.

Kozinets, R. (2015a). Netnography. In R. Mansell & P. H. Ang, The international encyclopedia of digital communication and society (pp. 653-660).

28.

Kozinets, R. (2015b). Netnography: Redefined. London, United Kingdom: SAGE.

29.

Kozinets, R. (2017). Netnography for management and business research. In C. Cassell, A. L. Cunliffe & G. Grandy, The SAGE handbook of qualitative business and management research methods (pp. 384-397). London, United Kingdom:SAGE.

30.

Kruger, J., Epley, N, Parker, J., & Ng, Z. (2005). Egocentrism over email: Can we communicate as well as we think? Journal of Personality and social Psychology, 89(6), 925-936. https://doi.org/10.1037/0022-3514.89.6.925

31.

Lee, H., & Hong, S. (2019). Revisiting of greenness to consumers in green purchases. Journal of Distribution Science, 17(10),107-114. https://doi.org/10.15722/jds.17.10.201910.107

32.

Lee, S., & Lee, H. (2020). A study on the smart tourism awareness through bigdata analysis. Journal of Industrial Distribution &Business, 11(5), 45-52. http://dx.doi.org/10.13106/jidb.2020.vol11.no5.45

33.

Li, X., Chan, K. W., & Kim, S. (2019). Service with emoticons:How customers interpret employee use of emoticons in online service encounters. Journal of Consumer Research, 45(5), 973-987. https://doi.org/10.1093/jcr/ucy016

34.

Logan, A. (2015). Netnography: Observing and interacting with celebrity in the digital world. Celebrity Studies, 6(3), 378-381.https://doi.org/10.1080/19392397.2015.1062652

35.

Lour, T., Wu, L., Lu, H., & Tao, Y. (2010). The effect of emoticons in simplex and complex task-oriented communication: An empirical study of instant messaging. Computers in Human Behavior, 26(5), 889-895. https://doi.org/10.1016/j.chb.2010.02.003

36.

Miller, G. (2011). Social scientists wade into the tweet stream. Science, 333(6051), 1814-1815.https://doi.org/10.1126/scienc e.333.6051.1814

37.

MKono, M. (2011). The othering of food in touristic eatertainment:A netnography. Tourist Studies, 11(3), 253-270. https://doi.org/10.1177%2F1468797611431502

38.

Novak, P. K., Smailovic, J., Sluban, B., & Mozetic, I. (2015). Sentiment of emojis. Plos One, 10(12). https://doi.org/10. 1371/journal.pone.0144296

39.

Oh, Y. (2017). The impact of initial eWom growth on the sales in movie distribution. Journal of Distribution Science, 15(9), 85-93. https://doi.org/10.15722/jds.15.9.201709.85

40.

Park, J., Baek, Y., & Cha, M. (2014). Cross-cultural comparison of nonverbal cues in emoticons on Twitter: Evidence from big data analysis. Journal of Communication, 64(2), 333-354. https://doi.org/10.1111/jcom.12086

41.

Park, Y., & Javed, Y. (2020). Insights discovery through hidden sentiment in big data: Evidence from Saudi Arabia’s financial sector. Journal of Asian Finance, Economics and Business,7(6), 457-464. https://doi.org/10.13106/jafeb.2020.vol7.no6. 457

42.

Pavalanathan, U., & Eisenstein, J. (2016). More emojis, less :) The competition for paralinguistic function in microblog writing. First Monday, 21(11). https://doi.org/10.5210/fm.v21i11.6879

43.

Prada, M., Rodrigues, D. L., Garrido, M. V., Lopes, D., Cavalheiro,B., & Gaspar, R. (2018). Motives, frequency and attitudes toward emoji and emoticon use. Telematics and Informatics,35(7), 1925-1934. https://doi.org/10.1016/j.tele.2018.06.005

44.

Rezabek, L., & Cochenour, J. (1999). Visual cues in computermediated communication: Supplementing text with emoticons. Journal of Visual Literacy, 18(2), 201-215. https://doi.org/10.1111/jcom.12086

45.

Rogers, R. (2013). Digital methods. Cambridge, United Kingdom:The MIT Press.

46.

Shin, M., & Joo, J. (2015). Relationships between customer socialization, customer participation, and loyalty of on-line service providers. Journal of Distribution Science, 13(11), 15-22. https://doi.org/10.15722/jds.13.11.201511.15

47.

Skovholt, K., Gronning, A., & Kankaanranta, A. (2014). The communicative functions of emoticons in workplace emails: :-). Journal of Computer-Mediated Communication, 19(4), 780-797. https://doi.org/10.1111/jcc4.12063

48.

Stewart, B. (2017). Twitter as method: Using Twitter as a tool to conduct research. In S. Luke & A. Quan-Hasse, The SAGE handbook of social media research methods (pp. 251-265). London, United Kingdom: SAGE.

49.

Tang, Y., & Hew, K. F. (2019) Emoticon, emoji, and sticker use in computer-mediated communication: A review of theories and research findings. International Journal of Communication, 13, 2457-2483.

50.

Tossell, C. C., Kortum, P., Shepard, C., Barg-Walkow, LH.,Rahmati, A., & Zhong, L. (2012). A longitudinal study of emoticon use in text messaging from smartphones. Computers in Human Behavior, 28(2), 659-663.https://doi.org/10.1016/j.chb.2011.11.012

51.

Walther, J. B., & D’Addario, K. P. (2001). The impacts of emoticons on message interpretation in computer-mediated communication. Social Science Computer Review, 19(3), 324–347. https://doi.org/10.1177%2F089443930101900307

52.

Walther, J. B., & Parks, M. R. (2002). Cues filtered out, cues filtered in: Computer-mediated communication and relationships. In M. L. Knapp & J. A. Daly, Handbook of interpersonal communication (pp. 529-563). London, United Kingdom: SAGE.

53.

Wang, S. S. (2016). More than words? The effect of line character sticker use on intimacy in the mobile communication environment. Social Science Computer Review, 34(4), 456-478. https://doi.org/10.1177%2F0894439315590209

54.

Weissman, B., & Tanner, D. (2018). A strong wink between verbal and emoji-based irony: How the brain processes ironic emojis during language comprehension. Plos One, 13(8).https://doi.org/10.1371/journal.pone.0201727

55.

Won, J., & Kim, B. (2020). The Effect of Consumer Motivations on Purchase Intention of Online Fashion - Sharing Platform. Journal of Asian Finance, Economics and Business, 7(6), 197-207. https://doi.org/10.13106/jafeb.2020.vol7.no6.197

바로가기메뉴

논문 상세

Vol.18 No.8

Consumption of Visual Cues in Computer-Mediated Environments

Consumption of Visual Cues in Computer-Mediated Environments

Abstract

참고문헌

The Journal of Distribution Science(JDS)