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AutoCAD: examination of factors influencing user adoption

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The primary purpose of the research is to examine and validate determinants of user intention to use AutoCAD software, utilising the constructs from prior studies in a more integrated model. The paper proposes a revised Technology Acceptance Model (TAM) for measuring the adoption of AutoCAD. In the study, a latent construct PPA (perceived physical accessibility) was added to the proposed research model as a new determinant of AutoCAD adoption. An online survey of AutoCAD users was conducted to collect data. This data was empirically used to test the proposed research model. The Structural Equation Modelling (SEM) technique was used to evaluate the causal model, and the confirmatory factor analysis was performed to examine the reliability and validity of the measurement model. The study results show that user behavioural intention to use AutoCAD is significantly affected by three determinants: perceived usefulness, perceived ease of use and perceived physical accessibility of the software. This finding contributes to an expanded understanding of the factors that promote acceptance of AutoCAD software. Moreover, the main contribution of this study is to verify the impact of the added PPA variable on the behavioural intention to use and the actual use of AutoCAD, and also to create measurement scales for this new latent variable in TAM.
Rocznik
Strony
45--56
Opis fizyczny
Bibliogr. 41 poz., rys., tab.
Twórcy
  • Gdańsk University of Technology, Poland
Bibliografia
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  • Hair, J.F., Black, B., Babin, B., Anderson, R.E., & Tatham, R.L. (2010). Multivariate Data Analysis. Prentice Hall International.
  • Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A.L.M. (1997). Personal computing acceptance factors in small firms: A structural equation model. MIS Quarterly, 21(3), 279-305.
  • Karahanna, E., Agarwal, R., & Angst, C.M. (2006). Reconceptualizing compatibility beliefs in technology acceptance research. MIS Quarterly, 30(4), 781-804.
  • King, W.R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information and Management, 43(6), 740-755.
  • Lai, V.S., & Li, H. (2000). Technology acceptance model for internet banking: An invariance analysis. Information and Management, 42(2), 373-386.
  • Liébana-Cabanillas, F., Ramos de Luna, I., & Montoro-Ríos, F.J. (2015). User behaviour in QR mobile payment system: the QR Payment Acceptance Model. Technology Analysis & Strategic Management, 27(9), 1031-1049. doi: 10.1080/09537325.2015.1047757
  • Lim, W.M. (2018). Dialectic Antidotes to Critics of the Technology Acceptance Model: Conceptual, Methodological, and Replication Treatments for Behavioural Modelling in Technology-Mediated Environments. Australasian Journal of Information Systems, 22, 1-11. doi: 10.3127/ajis.v22i0.1651
  • Moon, J.W., & Kim, Y.G. (2001). Extending the TAM for a World-Wide-Web context. Information and Management, 38, 217-230.
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  • Park, S.Y. (2009). An Analysis of the Technology Acceptance Model in Understanding University Students’ Behavioral Intention to Use e-Learning. Educational Technology & Society, 12(3), 150-162.
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  • Venkatesh, V., & Davis, F.D. (1996). A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decision Sciences, 27(3), 451-481. doi: 10.1111/j.1540-5915.1996.tb01822.x
  • Venkatesh, V., & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186-204.
  • Venkatesh, V., Morris, M.G., Davis G.B., & Davis F.D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425-478.
  • Wai I.S.H., Ng S.S.Y., Chiu D.K.W., Ho K.K.W., & Lo P. (2018). Exploring undergraduate students’ usage pattern of mobile apps for education. Journal of Librarianship and Information Science, 50(1), 34-47.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-34f63e51-c91d-4f2e-b0c9-62c68ef7b3a4
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