한국융합학회논문지 (Journal of the Korea Convergence Society)

  • 제11권3호
  • /
  • Pages.201-210
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  • 2020
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  • 2233-4890(pISSN)
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  • 2713-6353(eISSN)
한국융합학회 (Korea Convergence Society)
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항공 관련 소셜미디어 이용자의 성별, 연령, 이용 동기, 민감도와 정보수용의 융합적 영향 연구

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

  • 홍지숙 (경일대학교 항공서비스학과)
  • Hong, Ji-Suk (Department of Airline Service, Kyungil University)
  • Received : 2019.08.23
  • Accepted : 2020.03.20
  • Published : 2020.03.28
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⟨ 이전 논문 다음 논문 ⟩

Abstract

본 논문은 항공 관련 소셜미디어의 정보수용에 있어 이용 동기와 민감도, 성별과 연령을 융합하여 이용태도와 행동을 예측하기 위해 연구를 시행하였다. 구체적으로 성별과 연령에 따른 소셜미디어 정보수용의 차이, 이용 동기와 민감도는 정보수용에 어떤 영향을 미치는지 알아보고자 하였다. 이를 위해 2018년 4월 19일부터 5월 3일까지 온라인 전국 패널 20세 이상 성인을 대상으로 하여 성별과 연령의 편중을 막기 위해 고른 분포로 자료수집을 하였다. 연구결과, 성별과 연령에서 여성과 연령이 낮을수록 소셜미디어 정보수용에 긍정적인 영향을 미쳤다. 이용 동기는 정보수용에 정(+)의 영향을 미치는 것으로 나타났으며, 민감도에는 정보수용에 부(-)의 영향을 미치는 것으로 나타났다. 이를 통해 성별, 연령 등 이용자 계층과 이용 동기, 민감도가 정보수용에 영향을 준다는 것을 알 수 있었다. 또한, 민감도 요인의 부정적인 면도 파악할 수 있어, 항공 관련 소셜미디어 마케팅 전략의 기초자료로 활용할 수 있을 것으로 기대한다.

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

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