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The show must go on: The mediating role of self-assessment in the relationship between performers’ technology acceptance and satisfaction level with remote performances in Korea during the COVID-19 pandemic

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  • Hahm, Joon Beom
  • Byon, Kevin K.
  • Hyun, Yeon Ah
  • Hahm, Jeongbeom

Abstract

To cope with the COVID-19 pandemic, the performing arts industry created new formats for delivering content via digital technology in the form of remote performances. This study examined the effect of remote performances on performers' satisfaction through the lens of the technology adoption model. Additionally, it investigated whether the performers’ self-assessment of performance quality mediates the relationship between their technology acceptance and satisfaction. To this end, we collected the data from performers (N = 124) who experienced remote performances in Korea. Results showed that their satisfaction was a function of perceived usefulness and ease of use of the technology. However, the mediation effect by self-assessment was detected only on the relationship between the perceived ease of use and satisfaction. The results of the study suggest that event organizers offer an easy-to-operate technology allowing performers to better engage in remote performances. This also enables performers to self-assess their performances, which will enhance performance quality.

Suggested Citation

  • Hahm, Joon Beom & Byon, Kevin K. & Hyun, Yeon Ah & Hahm, Jeongbeom, 2022. "The show must go on: The mediating role of self-assessment in the relationship between performers’ technology acceptance and satisfaction level with remote performances in Korea during the COVID-19 pa," Technology in Society, Elsevier, vol. 68(C).
    • Handle: RePEc:eee:teinso:v:68:y:2022:i:c:s0160791x21003304
    DOI: 10.1016/j.techsoc.2021.101855
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    References listed on IDEAS

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    1. Jian-Hong Ye & Yi-Sang Lee & Chiung-Ling Wang & Weiguaju Nong & Jhen-Ni Ye & Yu Sun, 2023. "The Continuous Use Intention for the Online Learning of Chinese Vocational Students in the Post-Epidemic Era: The Extended Technology Acceptance Model and Expectation Confirmation Theory," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    2. Sepasgozar, Samad M.E., 2022. "Immersive on-the-job training module development and modeling users’ behavior using parametric multi-group analysis: A modified educational technology acceptance model," Technology in Society, Elsevier, vol. 68(C).
    3. Shen, Ching-Cheng & Yeh, Chien-Chi & Lin, Chun-Nan, 2022. "Using the perspective of business information technology technicians to explore how information technology affects business competitive advantage," Technological Forecasting and Social Change, Elsevier, vol. 184(C).

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