Integration of UTAUT and SCT For Empirical Study of CISEA Technology Admission
Keywords:
CISEA, UTAUT, SCT, SEM-PLS, PT. Bukit Asam
Abstract
Mobile application has recently gained a massive popularity in organizations due to its benefits such as flexibility, timely and ubiquity. This study was to empirically investigate factors that influence the intention to use CISEA (Corporate Information System and Enterprise Application). CISEA was developed and utilized to facilitate the company to disseminate information to and collect wide range of data from their employees. This study integrated two theories namely the Unified Theory of Acceptance and Use of Technologists (UTAUT) and Social Cognitive Theory (SCT). By applying a quantitative research, this study surveyed PT. Bukit Asam employees. Further, the Partial Least Square Structural Equation Model (SEM-PLS) was used to analyze the data. The results revealed that Effort Expectancy, Facilitating Condition, and Affect has significant effect to intention to use the CISEA. Also Self Efficacy has a significant effect on Effort Expectancy and Affect On the other hand Performance Expectancy, Social Influence, Self Efficacy and Technology Anxiety have no significant effect on intention to use CISEA The research model has provide an effective guideline to evaluate the use of technology CISEA.
References
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[2] V. Venkatesh and S. Robert, “USER ACCEPTANCE OF INFORMATION TECHNOLOGY: TOWARD A UNIFIED VIEW,” Inorg. Chem. Commun., vol. 67, no. 3, pp. 95–98, 2003, doi: 10.1016/j.inoche.2016.03.015.
[3] D. W. & Slade, “Association for Information Systems AIS Electronic Library (AISeL) UK Academy for Information Systems Conference Proceedings 2013 UK Academy for Information Systems Extending UTAUT2 To Explore Consumer Adoption Of Mobile Payments EXTENDING UTAUT2 TO EXPLO,” UK Acad. Inf. Syst. Conf. Proc., vol. 36, pp. 1–23, 2013, [Online]. Available: http://aisel.aisnet.org/ukais2013%0Ahttp://aisel.aisnet.org/ukais2013/36.
[4] M. B. Alazzam, A. S. H. Basari, A. S. Sibghatullah, M. Doheir, O. M. A. Enaizan, and A. H. K. Mamra, “EHRS acceptance in Jordan hospitals by UTAUT2 model: Preliminary result,” J. Theor. Appl. Inf. Technol., vol. 78, no. 3, pp. 473–482, 2015.
[5] R. K. E Azis, “Adopsi teknologi belanja online oleh konsumen umkm dengan model unified theory of acceptance and use of technology 2,” Creat. Res. J., 2017.
[6] L. Xue et al., “An exploratory study of ageing women’s perception on access to health informatics via a mobile phone-based intervention,” Int. J. Med. Inform., vol. 81, no. 9, pp. 637–648, 2012, doi: 10.1016/j.ijmedinf.2012.04.008.
[7] J. Arenas-Gaitán, B. Peral-Peral, and M. A. Ramón-Jerónimo, “Elderly and internet banking: An application of UTAUT2,” J. Internet Bank. Commer., vol. 20, no. 1, pp. 1–23, 2015.
[8] V. Venkatesh, J. Y. L. Thong, and X. Xu, “Unified theory of acceptance and use of technology: A synthesis and the road ahead,” J. Assoc. Inf. Syst., vol. 17, no. 5, pp. 328–376, 2016, doi: 10.17705/1jais.00428.
[9] M. Barclay, C. Smith, and R. Watts, “The determinants of corporate leverage and dividend policies Faktor penentu leverage perusahaan dan kebijakan dividen.” 1995.
[10] J. Henseler et al., “Common Beliefs and Reality About PLS: Comments on Rönkkö and Evermann (2013),” Organ. Res. Methods, vol. 17, no. 2, pp. 182–209, 2014, doi: 10.1177/1094428114526928.
[11] M. Rönkkö and J. Evermann, “A Critical Examination of Common Beliefs About Partial Least Squares Path Modeling,” Organ. Res. Methods, vol. 16, no. 3, pp. 425–448, 2013, doi: 10.1177/1094428112474693.
[12] J. Jamali, S. Ayatollahi, and P. Jafari, “The Effect of Cross-loading on Measurement Equivalence of Psychometric Multidimensional Questionnaires in MIMIC Model: a Simulation Study,” Mater. Socio Medica, vol. 30, no. 2, p. 121, 2018, doi: 10.5455/msm.2018.30.121-126.
[13] J. F. Hair, C. M. Ringle, and M. Sarstedt, “PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice,” 2015, doi: 10.2753/MTP1069-6679190202.
[14] H. Mustaqim, R. N., Kusyanti, A., & Aryadita, “ANALISIS FAKTOR - FAKTOR YANG MEMENGARUHI NIAT PENGGUNAAN E-COMMERCE XYZ MENGGUNAKAN MODEL UTAUT ( UNIFIED THEORY ACCEPTANCE AND USE OF TECHNOLOGY ) SKRIPSI memperoleh gelar Sarjana Komputer Disusun oleh :,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 2(7), pp. 2584–2593, 2018.
[15] A. H. Wibowo, Y. T. Mursityo, and A. D. Herlambang, “Pengaruh Performance Expectancy, Effort Expectancy, dan Social Influence Terhadap Behavioral Intention dalam Implementasi Aplikasi SIMPG PT Perkebunan Nusantara XI Surabaya,” J. Pembang. Perkota., vol. 3, no. 9, pp. 9047–9053, 2019.
[16] L. N. Rosa, “Analisis Penerimaan Teknologi Menggunakan Pendekataan Unified Theory of Acceptance and Use of Technology 2,” Univ. Binadarma, vol. 8, no. 5, p. 55, 2019.
[17] A. Raman and Y. Don, “Preservice teachers’ acceptance of learning management software: An application of the UTAUT2 model,” Int. Educ. Stud., vol. 6, no. 7, pp. 157–164, 2013, doi: 10.5539/ies.v6n7p157.
[18] S. A. J, R K Bendi, “Analisis Perilaku Penggunaan Sistem Informasi Menggunakan Model UTAUT,” SEMANTIK, no. November, 2013.
[19] N. Sa’idah, “Analisis Penggunaan Sistem Pendaftaran Online (E-Health) Berdasarkan Unified Theory Of Accepptance And Use Of Technology (UTAUT),” J. Adm. Kesehat. Indones., vol. 5, pp. 72–81, 2017.
[20] V. Wahyuni and I. Maita, “Evaluasi Sistem Informasi Manajemen Rumah Sakit (SIMRS) Menggunakan Metode Unified Theory Of Acceptance And Use Of Technology (UTAUT),” J. Rekayasa dan Manaj. Sist. Informas, 2015, doi: 10.1016/j.athoracsur.2006.03.068.
[21] O. Oechslein, M. Fleischmann, and T. Hess, “An application of UTAUT2 on social recommender systems: Incorporating social information for performance expectancy,” Proc. Annu. Hawaii Int. Conf. Syst. Sci., 2014, doi: 10.1109/HICSS.2014.409.
[22] M. Indah and H. Agustin, “Penerapan Model Utaut (Unified Theory Of Acceptance And Use Of Technology) Untuk Memahami Niat Dan Perilaku Aktual Pengguna Go-Pay Di Kota Padang,” J. Eksplor. Akunt., 2019, doi: 10.24036/jea.v1i4.188.
[23] H.-N. Sung, D.-Y. Jeong, Y.-S. Jeong, and J.-I. Shin, “The Relationship among Self-Efficacy, Social Influence,Performance Expectancy, Effort Expectancy, and Behavioral Intention in Mobile Learning Service,” Int. J. u- e- Serv. Sci. Technol., vol. 8, no. 9, pp. 197–206, 2015, doi: 10.14257/ijunesst.2015.8.9.21.
[24] W. R. Fitriani, I. T. Handoyo, P. Rahayu, and D. I. Sensuse, “Intention to use smart city system based on social cognitive theory,” 2016 Int. Conf. Adv. Comput. Sci. Inf. Syst. ICACSIS 2016, 2017, doi: 10.1109/ICACSIS.2016.7872747.
[25] N. P. Rana and Y. K. Dwivedi, “Citizen’s adoption of an e-government system: Validating extended social cognitive theory (SCT),” Gov. Inf. Q., vol. 32, no. 2, pp. 172–181, 2015, doi: 10.1016/j.giq.2015.02.002.
[26] J. Lucyanda, D. A. Fakultas, and E. Unisma, “Pengujian Technology Acceptance Model (Tam) Dan Theory Planned Behavior (Tpb),” JRAK Agustus, vol. 2, no. 1995, pp. 1–14, 2010.
[27] D. Suryani, A. Kurniawan, and I. Umiyati, “IT Self Efficacy, IT Anxiety dan Minat Menggunakan E-money,” J. Ris. Akunt. dan Keuang., vol. 8, no. 1, pp. 89–108, 2020, doi: 10.17509/jrak.v8i1.20387.
[28] Shani Alvian, “Analisis Determinan Minat Umkm Dalam Adopsi Aplikasi Si Apik Sebagai Sistem Pencatatan Akuntansi Berbasis Teknologi,” Uniersitas Islam Indones., 2019.
Published
2022-06-17
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Articles
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