MENILAI TINGKAT KESIAPAN PENERAPAN SMART AND COLLABORATIVE OFFICE (SCO) DENGAN PENDEKATAN TECHNOLOGY ACCEPTANCE MODEL (TAM)
Abstract
Smart Collaborative Office is a form of information system developed to support work activities within the Universitas Brawijaya. The main objective of this research is to assess the level of implementation of Smart and Collaborative Office (SCO) by using the Technology Acceptance Model (TAM) approach. Using quantitative methods, research instruments were developed based on the literature and previous empirical results related to TAM. A total of 98 respondents, namely Educational Personnel who work at the Head Office or Rectorate of Universitas Brawijaya, were the samples in this study. The research findings show that the ease of use of SCO is the most important predictor of intention to use SCO, while intention to use SCO is the most important determinant of the level of use of SCO at the Head Office of Universitas Brawijaya. The conclusion of the study is that in general the level of application of SCO can be categorized at a moderate level, including considering that the majority of respondents have never completed or attended SCO training.
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Alharbi, S., & Drew, S. (2014). Using the Technology Acceptance Model in Understanding Academics’ Behavioural Intention to Use Learning Management Systems. International Journal of Advanced Computer Science and Application, 5(1), 143–155.
Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shif. Journal of the Association for Information Systems, 8(4), 243–254.
Bates, D. W., & Gawande, A. A. (2003). Improving Safety with Information Technology. New England Journal of Medicine, 348, 2526–2534.
Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63, 160–175.
Choi, G., & Chung, H. (2013). Applying the technology acceptance model to social networking sites (SNS): Impact of subjective norm and social capital on the acceptance of SNS. International Journal of Human-Computer Interaction, 29(10), 619–628.
Davis, F., Bagozzi, R., & Warshaw, P. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(6), 982–1003.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Djamasbi, S., Strong, D. M., & Dishaw, M. (2010). Affect and acceptance: Examining the effects of positive mood on the technology acceptance model. Decision Support Systems, 48(2), 383–394.
Hoos, E., Groger, C., & Mitschang, B. (2014). Mobile apps in engineering: A process-driven analysis of business potentials and technical challenges. Procedia CIRP, 2014(33), 17–22.
Jogiyanto, J. (2008). Analisis dan Desain Sistem Informasi:Pendekatan Terstruktur Teori dan Praktek Aplikasi Bisnis. Andi.
Kalia, P., & Paul, J. (2021). E-service quality and e-retailers: Attribute-based multi-dimensional scaling. Computers in Human Behavior, 115, 106608. https://doi.org/10.1016/j.chb.2020.106608
Kaur, B., Kaur, J., Pandey, S. K., & Joshi, S. (2020). E-service Quality: Development and Validation of the Scale. Global Business Review, 1–19. https://doi.org/10.1177/0972150920920452
Kavoura, A., & Katsoni, V. (2013). From e-business to c-commerce: Collaboration and network creation for an e-marketing tourism strategy. Tourismos, 8(3), 113–128.
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40, 191–204.
Liu, J., Kauffman, R. J., & Ma, D. (2015). Competition, cooperation, and regulation: Understanding the evolution of the mobile payments technology ecosystem. Electronic Commerce Research and Applications, 14(5), 372 – 391.
Markus, M. (2004). Technochange management: Using IT to drive organizational change. Journal of Information Technology, 19, 4–20.
Shang, S., & Seddon, P. (2002). Assessing and managing the benefits of enterprise systems: The business manager’s perspective. Information Systems Journal, 12, 271–299.
Suhartini, D., & Handayani, W. (2009). Model Penerimaan Teknologi Informasi Oleh Dosen Pada Perguruan Tinggi di Surabaya. Seminar Nasional Impelementasi Sistem Manajemen Kualitas ISO 9001 - 2018 Dan IWA 2 Dalam Upaya Meningkatan UPN “Veteran” Jawa Timur, 369(1), 1689–1699.
Tatipatta, R. V. F. (2019). Penerimaan Teknologi Informasi Employee System DI Dengan Menggunakan Technology Acceptance Model. Jurnal Perilaku Dan Strategi Bisnis, 7(1), 41–50.
Teo, T. (2011). Technology Acceptance in Education : Research and Issues. Sense Publisher.
Utomo, Y., & Walujo, D. A. (2018). Penerapan Konstruk Technology Acceptance Model (Tam) Pada Layanan Mobile Application Di PDAM Surya Sembada Kota Surabaya. WAKTU: Jurnal Teknik UNIPA, 16(1), 39–48. https://doi.org/10.36456/waktu.v16i1.1445
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186.
DOI: https://doi.org/10.32528/jasie.v4i1.13462
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