Earticle

A Study on the Effect of Self-Service Technology Environment on the Kiosk Usage Intention of Individuals in COVID-19 Using LGM and SEM

  • 간행물
    한국경영정보학회 정기 학술대회 바로가기
  • 권호(발행년)
    2020 한국경영정보학회 추계학술대회 (2020.12) 바로가기
  • 페이지
    pp.374-379
  • 저자
    Taehyee Um, Chulmo Koo, Namho Chung
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A392626

원문정보

초록

영어
We studied consumer reactions and awareness to the Self-Service Technology (SST) environment during the Coronavirus disease-19 (COVID-19) pandemic. This study adopted the Absorption Capacity Model as the main framework of empirical studies. In combination with the model, consumers' intention to use SST for four stages of time was identified to track the social impact of COVID-19. Using latent growth model and structural equation model, this study set organizational and environmental characteristics as the first stage of the model, and assimilation and trust as the middle stage. The results of the study showed that organizational and environmental characteristics have a positive effect on assimilation and trust, except for environmental characteristics. Consumers' SST assimilation stimulate immediate intent to use kiosks. While, consumer trust in kiosks has been shown to have a positive effect on both immediate and continuous intentions to use kiosks during the COVID-19 period.

목차

Abstract
Introduction
Research Background
SST and Kiosk
Absorptive Capacity
Hypothesis development
Recognizing the value and assimilation
Recognizing the value and trust
Assimilation and exploit
Assimilation and exploit
Methodology
Data collection
Questionnaires
Results
Common method bias (CMB)
Unconditional latent growth analysis
Measurement model
Hypothesis testing and conditioned latent growth model analysis
Discussion
Conclusions and Limitations
References

저자

  • Taehyee Um [ Smart Tourism Education Platform, Kyung Hee University ]
  • Chulmo Koo [ Smart Tourism Education Platform, Kyung Hee University ]
  • Namho Chung [ Smart Tourism Education Platform, Kyung Hee University ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국경영정보학회 정기 학술대회 [KMIS Conference]
    • 간기
      반년간
    • 수록기간
      1990~2025
    • 십진분류
      KDC 325 DDC 658