Browse > Article
http://dx.doi.org/10.15207/JKCS.2020.11.3.201

The Convergence Effect of Gender, Age, Motivation, Sensitivity and Information Acceptance of Aviation Related Social Media Users  

Hong, Ji-Suk (Department of Airline Service, Kyungil University)
Publication Information
Journal of the Korea Convergence Society / v.11, no.3, 2020 , pp. 201-210 More about this Journal
Abstract
The study was conducted to predict usage attitudes and behaviors by combining usage motivation and sensitivity, gender, and age in aviation-related social media. Specifically, the purpose of this study was to examine the effects of social media information acceptance, motivation and sensitivity on gender acceptance by gender and age. To this end, we collected data in an even distribution to prevent gender and age bias among adults aged 20 or older online from April 19 to May 3, 2018. As a result, the lower the female and age in the gender and age had a positive effect on the acceptance of social media information. Motivation for use has a positive effect on information acceptance and sensitivity has a negative effect on information acceptance. Through this, it was found that user class such as gender and age, motivation to use, and sensitivity affect information acceptance. In addition, the negative aspects of the sensitivity factor can be identified, and it is expected to be used as basic data in aviation-related social media marketing strategies.
Keywords
Convergence; Airline; Social Media; Motivation; Sensitivity; Age; Gender; Information Acceptance;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 H. J. Park, J. H. Yoon & Y. H. Kim. (2015). A Study on the Effect of Using Motivation of Tourism Social Media and Self Expression on Tourism Experience, Satisfaction, Reuse Intention. Journal of Tourism and Leisure Research, 27(3), 379-396.
2 S. Y. Lee & L. S. Jung. (2010). An exploratory study on Social Network Services in the context of Web 2.0 period. Management & Information Systems Review, 29(4), 143-167.   DOI
3 S. W. Hahm & S. H. Seo. (2012). A Study on the Financial Soundness of Korean Advertising Industry :Focused on measuring the failure level of advertising agencies. Broadcasting & Arts Research, 7(1), 23-49.
4 H. Ajjan, R. Hartshorne & S. Buechler. (2012). Investigating Web 2.0 Application Impacts on Knowledge Workers' Decisions and Performance. Information Resources Management Journal, 25(4), 65-83.   DOI
5 J. W. Jun & D. H. Lee. (2013). Roles of Affective Factors on Theatrical PR : A Focus on Drama and Musical. Journal of Public Relations, 17(4), 110-134.   DOI
6 A. D. I. Kramer, J. E. Guillory & J. T. Hancock. (2014). Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences of the United States of America, 111(24), 8788-8790.   DOI
7 S. W. Shim & W. H. Kim. (2011). A Study on the Effects of College Students' Use Motives of Social Media on Advertisement Uses. The Korean Journal of Advertising and Public Relations, 13(2), 342-376.
8 I. S. Choi. (2016). A Study of the Users' Perception on the Uses and gratification, and AD format of Social Media. Journal of Outdoor Advertising Research, 13(1), 25-53.
9 S. H. Jang. (2015). The Effect Service and Individual Characteristics on Usage Intention of Location-Based Advertising: Focused on the Moderating Effects of Gender. Journal of the Korea Academia-Industrial cooperation Society, 16(11), 7310-7320. DOI: 10.5762/KAIS.2015.16.11.7310   DOI
10 Y. Y. Hwang, K. S. Lee, G. Y. Jo & M. J. Oh. (2017). A Study on the Influence of Cognitive Age Gap between Young and Old on Consumption Seeking Value. Journal of Korea Service Management Society, 18(3), 251-277.   DOI
11 B. H. Kim. (2019). A Discussion of the Potential of a Narrative Paradigm for Understanding Consumers and the Evolution of Advertising in Social Media from an Interpretivistic Perspective. The Korean Journal of Advertising, 30(8), 53-102. DOI: 10.14377/KJA.2019.11.30.53   DOI
12 M. J. Magnuson & L. Dundes. (2008). Gender Differences in Social Portraits Reflected in MySpace Profiles. Cyber Psychology & Behavior, 11(2), 239-241.   DOI
13 J. Turcotte, C. York, J. Irving, R. M. Scholl & R. J. Pingree. (2015). News Recommendations from Social Media Opinion Leaders: Effects on Media Trust and Information Seeking. Journal of Computer-Mediated Communication, 20(5), 520-535.   DOI
14 H. S. Yun, J. H. Kim & S. W. Bae. (2016). The Relationship between High-Tech Product WOM Information Characteristics and WOM Effectiveness under SNS Environment. Advertising Research, 27(2), 113-136.
15 Y. Y. Hwang, K. S. Lee, G. Y. Jo & M. J. Oh. (2017). A Study on the Influence of Cognitive Age Gap between Young and Old on Consumption Seeking Value. Journal of Korea Service Management Society, 18(3), 251-277.   DOI
16 Y. R. Choi. (2011). Paradigm Characteristics of Social Marketing and Its Promotion Strategies. The e-Business Studies, 12(2), 343-362.   DOI
17 J. S. Yim, J. M. Yoon & E. J. Jo (2014). Uses of Media across Dayparts according to Gender, Age and Weekdays/Weekend. Journal of Social Science, 21(2), 144-168.
18 E. J. Lee. (2018). Why do people leave SNS? : The Influences of the Users' Characteristics and SNS Fatigue. The HCI Society of Korea, 13(1), 11-19. DOI: 10.17210/jhsk.2018.02.13.1.11   DOI
19 C. Paine, U. D. Reips, S. Stieger, A. Joinson & T. Buchanan. (2007). Internet users' perceptions of 'privacy concerns' and 'privacy actions'. International Journal of Human-Computer Studies, 65(6), 526-536.   DOI
20 Y. Bae. (2005). The Divergent Development of Informatization in Korea and Japan: An Exploratory Analysis of Cultural Adoption of Internet Technology, Korea Observer, 36(4), 631-656.
21 Z. Zhang & H. M. Kim. (2013). Factor Analysis of Word-of-Mouth Information Acceptance about International Tourism Service through Social Media. International Commerce and Information Review, 15(4), 391-418.   DOI
22 Y. R. Choi. (2011). Paradigm Characteristics of Social Marketing and Its Promotion Strategies. The e-Business Studies, 12(2), 343-362.   DOI
23 P. Sheldon & K. Bryant. (2016). Instagram: Motives for its use and relationship to narcissism and contextual age. Computers in Human Behavior, 58, 89-97.   DOI
24 O. Nov, M. Naaman & C. Ye. (2010). Analysis of participation in an online photo-sharing community: A multidimensional perspective. Journal of the Association for Information Science and Technology, 61(3), 555-566.
25 H. O. Cho. (2018). Investigating the Effect of Value Characteristics of SNS Users on SNS Usage Motivation, Social Capital, and Usage Behavior. The Journal of Digital Contents Society, 19(2), 351-362.   DOI
26 X. Y. Leung & B. Bai. (2013). How Motivation, Opportunity, and Ability Impact Travelers' Social Media Involvement and Revisit Intention. Journal of Travel & Tourism Marketing, 30(1-2), 58-77.   DOI
27 H. J. Shim & Y. S. Hwang. (2010). Micro-blogging on Uses and Gratification Perspectives - Twitter. Korean Journal of Broadcasting and Telecommunication Studies, 24(2), 192-234.
28 A. M. Munar & J. K. S. Jacobsen. (2013). Trust and Involvement in Tourism Social Media and Web-Based Travel Information Sources. Scandinavian Journal of Hospitality and Tourism, 13(1), 1-19.   DOI
29 J. Y. Park, S. W. Kwak & J. W. Yoo. (2015). The Study on the Effect of Social Media Use Motivation : Focused on the Eating-Out Franchise Industries. Journal of the Korean Entrepreneurship Socieity, 10(2), 50-71.   DOI
30 T. W. Park & K. Y. Lee. (2014). An Integrated Model of Information Processing of eWOM in Social Network Service. Advertising Research, 100, 172-224.
31 L. J. Harrison-Walker. (2001). The Measurement of word-of-mouth communication and an investigation of service quality and customer commitment as potential antecedents. Journal of Service Research, 4(1), 60-75.   DOI
32 M. Stelzner. (2014). 2014 Social Media Marketing Industry Report. Social Media Examiner, 1-52.
33 H. Y. Lee, D. Y. Yoon & M. G. Yoon. (2004). Study on the Integration of Revenue Management Systems and Computer Reservation Systems for Airline e-business : the case of K-Airline. Korean Management Science Review, 21(3), 71-84.
34 F. Misopoulos, M. Mitic, A. Kapoulas & C. Karapiperis. (2014). Uncovering customer service experiences with Twitter: the case of airline industry. Management Decision, 52(4), 705-723.   DOI
35 D. A. Pitta & D. Fowler. (2005). Online consumer communities and their value to new product developers. Journal of Product & Brand Management, 14(5), 283-291.   DOI
36 T. Chung, L. Sealy, M. Abraham, C. Ruglovsky, J. Schall & S. A. Maisto. (2015). Personal Network Characteristics of Youth in Substance Use Treatment: Motivation for and Perceived Difficulty of Positive Network Change. Substance Abuse, 36(3), 380-388. DOI: 10.1080/08897077.2014.932319   DOI
37 Y. S. Hwang & O. S. Kwon. (2017). A Study on the Conceptualization and Regulation Measures on Fake News: Focused on self-regulation of internet service providers. Journal of Media Law, Ethics and Policy, 16(1), 53-101.   DOI
38 S. Y. Kim. (2016). Relationships Analysis among Use Motivation, Satisfaction and Continuous Intention of Tourism Social Media from the Viewpoint of Sharing Economy : Focused on the Moderator Effect of Tourism Social Experience Sharing. Northeast Asia Tourism Research, 12(4), 23-41.
39 J. Y. Choi, Y. J. Cheong & H. B. Lee. (2018). Developing a Scale to Measure the Unpleasantness Toward Social Media Advertising. The Korean Journal of Advertising and Public Relations, 20(1), 214-249. DOI : 10.16914/kjapr.2018.20.1.214   DOI
40 R. E. Petty & J. T. Cacioppo. (1986). Message Elaboration versus Peripheral Cues. Communication and Persuasion, New York: Springer-Verlag, 141-172.
41 Y. Sun, N. Wang, X. L. Shen & J. X. Zhang. (2015). Location information disclosure in location-based social network services: Privacy calculus, benefit structure, and gender differences. Computers in Human Behavior, 52, 278-292.   DOI
42 S. H. Hong & H. W. Cha. (2015). The Effect of Social Media Use and Online Social Capital on Social Media Application Addiction : Twitter and Facebook Application. Korean Journal of Journalism & Communication Studies, 59(5), 207-238.
43 H. J. Song & S. Y. Oh. (2013). A Study on MSNS (Mobile Social Network Service) Addiction of University Students. The Journal of Social Science, 20(2), 56-82.