题名

An Exploration of Intention to Use Emoji in Social Network Services with Cognitive Age

并列篇名

以認知年齡探討社群網路服務中繪文字的使用意圖

DOI

10.30105/JDS.202112_24(2).0005

作者

范熙文(Hsiwen Fan)；張益準(Ikjoon Chang)；桐谷佳惠(Yoshie Kiritani)

关键词

Emoji ； SNS ； Cognitive age ； 繪文字 ； 社群網路服務 ； 認知年齡

期刊名称

設計學研究

卷期/出版年月

24卷2期（2021 / 12 / 01）

页次

111 - 135

内容语文

英文
中文摘要

Social network services, which are a method used for both information acquisition and communication, are inevitably used by most modern people in daily activities. Therefore, emoji is inevitably used by users to help convey emotions. In this study, the unified theory of acceptance and use of technology (UTAUT) were used to explore whether cognitive age is an important factor that impacts technology acceptance behavior. The application of emoji in social networking services was compared and analyzed three groups, group 1 (digital native whose people under 40 years old), group 2 (digital immigrants over 40 years old who believe that their cognitive age is lower than 40 years old), and group 3 (digital immigrants over 40 years old who believe that their cognitive age is greater than or equal to 40 years old). The results of group 1 showed that perceived usefulness, perceived ease of use, subjective norm, perceived playfulness and fashion involvement have a significant impact on the adoption and use of emoji. The results of group 2 showed that none of the constructs had any impact on behavioral intention, while in group 3, only perceived playfulness and fashion involvement had an impact on behavioral intention. Finally, the relationship and differences between different cognitive age groups, as well as corresponding results and suggestions, were put forward.
英文摘要

多數的現代人不可避免地在日常活動中使用社群網路服務。社群網路服務已經不只是獲取資訊，而且是與他人溝通的一種手段。在與他人溝同時，使用者也免不了採用繪文字來輔助自己傳達情感。本研究使用整合科技接受模式來探討認知年齡是否影響科技接受行為的重要因素。我們在社群網路服務中使用繪文字作為基礎，並探討組別1-數位原生（即40歲以下的人）、組別2-數位移民（即40歲以上的數位移民認為自己的認知年齡低於40歲）與組別-3數位移民（即40歲以上的數位移民認為自己的認知年齡大於等於40歲）之差異。結果表示：組別1-數位原生在知覺有用性、知覺易用性、主觀規範、知覺有趣性和流行涉入都是影響數位原生對繪文字的採用和使用是重要因素。組別2-數位移民在所有構念都沒有影響使用意圖。組別-3數位移民只有感覺到的知覺有趣性與流行涉入有影響使用意圖。最後，本文提出不同認知年齡層之間的關係與差異，並提出相對應的結果與建議。
主题分类 人文學 > 藝術
参考文献
  1. Lin, C.,Chou, W.(2016).Middle Age Using Mobile Instant Message and Connecting with Family Member -- Exploring Their Awareness, Acceptance, and Interactive Contents.Journal of Kao-Tech University – Humanities and Social Sciences,2(1),119-134.
    連結：
  2. Wang, T. S.(2013).A Study of Expression Stickers Design for Mobile Community: Using “LINE” as an Example.Tajen Journal,43,15-39.
    連結：
  3. Barak, B.(1987).Cognitive age: A new multidimensional approach to measuring age identity.The International Journal of Aging and Human Development,25(2),109-128.
  4. Barak, B.,Gould, S.(1985).Alternative Age Measures: A Research Agenda.Advances in consumer research,12(1)
  5. Barak, B.,Schiffman, L. G.(1981).Cognitive age: A nonchronological age variable.Advances in Consumer Research Volume,8,602-606.
  6. Bentler, P. M.,Bonett, D. G.(1980).Significance tests and goodness-of–fit in the analysis of covariance structures.Psychological Bulletin,88,588-606.
  7. Berg, L.(2018).Young consumers in the digital era: The selfie effect.International Journal of Consumer Studies,42(4),379-388.
  8. Blaise, R.,Halloran, M.,Muchnick, M.(2018).Mobile commerce competitive advantage: A quantitative study of variables that predict m-commerce purchase intentions.Journal of Internet Commerce,17(2),96-114.
  9. Bollen, K. A.(1998).Structural equation models.John Wiley & Sons, Ltd..
  10. Boyd, D. M.,Ellison, N. B.(2007).Social network sites: Definition, history, and scholarship.Journal of computer-mediated Communication,13(1),210-230.
  11. Brown, S.,Venkatesh, V.(2005).Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle.MIS Quarterly,29,399-436.
  12. Browne, B.A.,Kaldenberg, D.O.(1997).Conceptualizing self‐monitoring: links to materialism and product involvement.Journal of Consumer Marketing,14(1),31-44.
  13. Chen, M. H.(2015).Chiayi, Taiwan,Nanhua University.
  14. Csikszentmihalyi, M.(2000).Beyond boredom and anxiety.Jossey-Bass.
  15. Davis, F. D.(1986).A technology acceptance model for empirically testing new end-user information systems.Cambridge, MA.:
  16. Davis, F. D.(1989).Perceived usefulness, perceived ease of use, and user acceptance of information technology.MIS quarterly,13(3),319-340.
  17. Dempsey, B.(2007).What Boomers Want.Library journal,132(12),36-39.
  18. Doll, W. J.,Xia, W.,Torkzadeh, G.(1994).A Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument.MIS Quarterly,12(2),259-274.
  19. Edgar, L.,Bunker, D.(2013).It's all in the mind Changing the way we think about age.International Journal of Market Research,55(2),201-226.
  20. Fairhurst, A. E.,Good, L. K.,Gentry, J. W.(1989).Fashion involvement: An instrument validation procedure.Clothing and textiles research journal,7(3),10-14.
  21. Farrell, A. M.(2010).Insufficient discriminant validity: A comment on Bove, Pervan, Beatty, and Shiu (2009).Journal of Business Research,63(3),324-327.
  22. Fornell, C.,Larcker, D. F.(1981).Evaluating structural equation models with unobservable variables and measurement error.Journal of marketing research,18(1),39-50.
  23. Gatignon, H.,Robertson, T. S.(1985).A propositional inventory for new diffusion research.Journal of consumer research,11(4),849-867.
  24. Hair, J. F.,Black, W. C.,Babin, B. J.,Anderson, R. E.,Tatham, R. L.(2006).Multivariate Data Analysis: Pearson Prentice Hall.Upper Saddle River, NJ.:
  25. Hair, J. F.,Hult, G. T. M.,Ringle, C.,Sarstedt, M.(2016).A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM).Thousand Oaks, California:Sage Publications.
  26. Hong, S. J.,Lui, C. S. M.,Hahn, J.,Moon, J. Y.,Kim, T. G.(2013).How old are you really? Cognitive age in technology acceptance.Decision Support Systems,56,122-130.
  27. Hu, L.,Bentler, P. M.(1999).Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives.Structural Equation Modeling,6(1),1-55.
  28. Hung, S. Y.,Tsai, J. C. A.,Chou, S. T.(2016).Decomposing perceived playfulness: A contextual examination of two social networking sites.Information & Management,53(6),698-716.
  29. Jones, M. A.,Reynolds, K. E.,Weun, S.,Beatty, S. E.(2003).The product-specific nature of impulse buying tendency.Journal of business research,56(7),505-511.
  30. Kang, N. E.,Yoon, W. C.(2008).Age-and experience-related user behavior differences in the use of complicated electronic devices.International journal of human-computer studies,66(6),425-437.
  31. Kastenbaum, R.,Derbin, V.,Sabatini, P.,Artt, S.(1972).The ages of me”: Toward personal and interpersonal definitions of functional aging.Aging and human development,3(2),197-211.
  32. Kato, H.(2019).Possibility of using Business Documents containing Kaomoji and Emoji.Applied Business Studies Review,37,13-24.
  33. Kato, Y.(2018).Basic Research on the Characteristics of the Group Creation Function of LINE: Analysis of advantages and disadvantages.Journal of Information and Media Studies,4,11-24.
  34. Kimura, M.,Yamamoto, K.(2017).Effects of exchanging emoticons in mobile text messages on interpersonal emotions.Japanese Journal of Research on Emotions,24(2),51-60.
  35. Kline, R. B.(1998).Software review: Software programs for structural equation modeling: Amos, EQS, and LISREL.Journal of psychoeducational assessment,16(4),343-364.
  36. Lin, C. P.,Bhattacherjee, A.(2008).Elucidating individual intention to use interactive information technologies: The role of network externalities.International Journal of Electronic Commerce,13(1),85-108.
  37. Lin, Y. C.,Liang, J. C.,Yang, C. J.,Tsai, C. C.(2013).Exploring middle-aged and older adults’ sources of Internet self-efficacy: A case study.Computers in Human Behavior,29(6),2733-2743.
  38. Lin, Y. T.,Xia, K. N.(2012).Cognitive age and fashion consumption.International Journal of Consumer Studies,36(1),97-105.
  39. Liu, L.(2017).Changchun, China,Northeast Normal University.
  40. Lorenzo-Romero, C.,Constantinides, E.,Brünink, L.A.(2014).Co-creation: Customer Integration in Social Media Based Product and Service Development.Procedia - Social and Behavioral Sciences,148,383-396.
  41. MacCallum, R. C.,Hong, S.(1997).Power analysis in covariance structure modeling using GFI and AGFI.Multivariate Behavioral Research,32(2),193-210.
  42. Mathur, A.,Moschis, G. P.(2005).Antecedents of cognitive age: A replication and extension.Psychology & Marketing,22(12),969-994.
  43. Miyake, K.(2020).Evolution of emoji and beyond: A diachronic observation of visual representations in Japanese mobile media.The Bulletin of the Institute of Human Sciences,22,1-15.
  44. Moon, J. W.,Kim, Y. G.(2001).Extending the TAM for a World-Wide-Web context.Information & management,38(4),217-230.
  45. Moschis, G. P.,Mathur, A.(1993).How they’re acting their age.Marketing Management,2(2),40-50.
  46. O'Cass, A.(2004).Fashion clothing consumption: Antecedents and consequences of fashion clothing involvement.European Journal of Marketing,38(7),869-882.
  47. 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.
  48. Prensky, M.(2001).Digital natives, digital immigrants part 2: Do they really think differently?.On the horizon,9(6),1-6.
  49. Rosenberg, M.(1979).Conceiving the self.New York, USA:Basic.
  50. Salkowitz, R.(2008).Generation blend: Managing across the technology age gap.John Wiley & Sons.
  51. Schumacker, R. E.,Lomax, R. G.(2004).A beginner’s guide to structural equation modeling.Mahwah, NJ:Lawrence Erlbaum Associates.
  52. Shih, P. H.,Yang, K. C.,Yang, C.(2018).The link between state-of-mind and individuals’ willingness to adopt and continue using smartphones.Kybernetes,47(3),539-558.
  53. Sirgy, M. J.(1982).Self-Concept in Consumer Behavior: A Critical Review.Journal of Consumer Research,9(3),287-300.
  54. Stock, WA,Okun, MA,Gómez, J.(1994).Subjective well-being measures: Reliability and validity among Spanish elders.International Journal of Aging and Human Development,38,221-235.
  55. Sudbury, L.,Simcock, P.(2009).Understanding older consumers through cognitive age and the list of values: A UK based perspective.Psychology & Marketing,26(1),22-38.
  56. Taiwan Network Information Center (2020). 2020 Taiwan internet report. Taiwan: Taiwan Network Information Center.
  57. Taiwan Network Information Center (2019). 2019 Taiwan internet report. Taiwan: Taiwan Network Information Center.
  58. Takizawa, J.(2016).Communication Using Emoticons, Pictograms, or Punctuation marks: A Review.General research,4,193-203.
  59. Tigert, D.,Ring, L.,King, C.(1976).Fashion Involvement and Buying Behavior: A Methodological Study.Advances in Consumer Research,3,481-484.
  60. Van Auken, S.,Barry, T. E.(1995).An assessment of the trait validity of cognitive age measures.Journal of Consumer Psychology,4(2),107-132.
  61. Venkatesh, V.,Davis, F. D.(2000).A theoretical extension of the technology acceptance model: Four longitudinal field studies.Management science,46(2),186-204.
  62. Venkatesh, V.,Morris, M. G.,Davis, G. B.,Davis, F. D.(2003).User acceptance of information technology: Toward a unified view.MIS quarterly,27(3),425-478.
  63. Yang, K. C.,Shih, P. H.(2020).Cognitive age in technology acceptance: At what age are people ready to adopt and continuously use fashionable products?.Telematics and Informatics,51,101400.
  64. Zhang, Q. Y.(2014).Taoyuan, Taiwan,National Central University.
  65. Zhang, S.,Zhao, J.,Tan, W.(2008).Extending TAM for online learning systems: An intrinsic motivation perspective.Tsinghua Science and Technology,13(3),312-317.
print cancel