Pregled bibliografske jedinice broj: 1258903
A Task-Technology Fit Model for Digital Audio Workstations Evaluation
A Task-Technology Fit Model for Digital Audio Workstations Evaluation // Intelligent Human Systems Integration (IHSI 2023): Integrating People and Intelligent Systems / Tareq, Ahram ; Karwowski, Waldemar ; Di Bucchianico, Pepetto ; Taiar, Redha ; Casarotto, Luca ; Costa, Pietro (ur.).
Venecija: AHFE International, USA, 2023. str. 468-473 doi:10.54941/ahfe1002867 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
A Task-Technology Fit Model for Digital Audio Workstations
Evaluation
Autori
Etinger, Darko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Intelligent Human Systems Integration (IHSI 2023): Integrating People and Intelligent Systems
/ Tareq, Ahram ; Karwowski, Waldemar ; Di Bucchianico, Pepetto ; Taiar, Redha ; Casarotto, Luca ; Costa, Pietro - Venecija : AHFE International, USA, 2023, 468-473
ISBN
978-1-958651-45-2
Skup
Intelligent Human Systems Integration (IHSI 2023): Integrating People and Intelligent Systems
Mjesto i datum
Venecija, Italija, 22.02.2023. - 24.02.2023
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Task-Technology Fit ; Intention to use ; Digital Audio Workstation
Sažetak
Music industry changes in the last decade largely shifted the music production tasks from big established studios to music artists. With the addition of online music streaming platforms, an end-to-end process of music creation, publishing, delivery, and consummation is achieved. This phenomenon emphasizes music artists as content creators to handle music production. Digital audio workstation systems enabled end users to compose, record, mix and master music. This research focuses on identifying the fit between various tasks music artists must perform during music creation and the technical characteristic of the tools used, particularly modern digital audio workstations. Ultimately, it is tested whether the task- technology fit (TTF), a well-established information systems theory model is a good predictor of the intention to use digital audio workstation systems by music artists. By applying the PLS-SEM method, results show that TTF positively influences music artists' intention to use DAWs.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti