Application of the Technology Acceptance Model (TAM) in testing the acceptance model of application BORN (Business & Operational Risk Management Nindya Karya)
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Aug 16, 2023
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Abstract
This research aims to determine the effect of Perceived Ease Of Use Perceived Ease Of Use and Perceived Usefulness on Behavioral Intention with Attitude Towards Using as an Intervening Variable in the BORN (Business & Operation Risk Management Nindya Karya) application. The population in this study were all employees of PT. Nindya Karya who used BORN (Business & Operation Risk Management Nindya), especially in the scope of the project in accordance with the PIC Risk determination of the project risk officer and processed using Structural Equation Model (SEM) analysis with SEM PLS software. Based on the research results obtained empirical facts in the form of: 1) There is a significant positive effect the variable Perceived Usefulness influences Behavioral Intention; 2) There is a positive influence of the Perceived Ease of Use variable on Behavioral Intention; 3) There is a significant positive effect of Perceived Usefulness variable on Attitude Towards Using; 4) There is a significant positive effect of the Perceived Ease of Use variable on Attitude Towards Using; 5) There is a positive influence of Attitude Towards Using variable on Behavioral Intention; 6) Perceived Usefulness does not significantly mediate the positive effect on Behavioral Intention mediated by Attitude Towards Using; 7) Perceived Ease of Use does not significantly mediate the positive effect of Behavioral Intention on Attitude Towards Using.
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How to Cite
Hutauruk, B. N., & Saparso, S. (2023). Application of the Technology Acceptance Model (TAM) in testing the acceptance model of application BORN (Business & Operational Risk Management Nindya Karya). Enrichment : Journal of Management, 13(3), 2060-2072. https://doi.org/10.35335/enrichment.v13i3.1537
References
Adhiputra, Made. (2015). Aplikasi Technology Acceptance Model Terhadap Pengguna Layanan Internet Banking. Fakultas Ekonomi, Universitas Mahendradatta, Bali.
Ahmad, W. N. W., Ali, N. M., & Rodzuan, A. R. A. (2020). Understanding user Emotions Through Interaction with Persuasive Technology. (IJACSA) International Journal of Advanced Computer Science and Applications, 11(9), 225–235.
Al-Emran, M., Elsherif, H. M., & Shaalan, K. (2016). Investigating attitudes towards the use of mobile learning in higher education. Computers in Human Behavior, 56, 93–102. https://doi.org/10.1016/j.chb.2015.11.033
Ali, Suci. (2017). Pengaruh Perceived Usefullness, Perceived Ease Of Use Terhadap Behavioral Intention To Use Dengan Atittude Towards Using Sebagai Variabel Intervening. Fakultas Ekonomi dan Bisnis Universitas Brawijaya
Almaiah, M. A. (2018). Acceptance and usage of a mobile information system services in University of Jordan. Education and Information Technologies, 23(5), 1873–1895. https://doi.org/10.1007/s10639-018-9694-6
Chairani, Septi dan Dien. (2022). Penerapan Metode TAM Untuk Mengukur Penerimaan Aplikasi E- Persuratan Di Kantor Disnav Palembang. JTSI, Vol. 3, No. 1, April 2022: 13-24
Chen, L., & Aklikokou, A. K. (2020). Determinants of E-government Adoption: Testing the Mediating Effects of Perceived Usefulness and Perceived Ease of Use. International Journal of Public Administration, 43(10), 850–865. https://doi.org/10.1080/01900692.2019.1660989
Chin, W. W. (1998). The Partial Least Squares Approach to Structural Equation Modeling. In G.A. Marcoulides (Ed.), Modern Methods for Business Research (pp. 295–358). Mahwah, New Jersey: Lawrence Erlbaum Associates.
Christian, Ade. (2019). Evaluasi Penerapan Inventory System Menggunakan Technology Acceptance Model. Teknik Informatika STMIK Nusa Mandiri Jakarta. Jurnal PILAR Nusa Mandiri Vol. 15, No. 1 Maret 2019
Cui, M., & Pan, S. L. (2015). Developing focal capabilities for e-commerce adoption: A resource orchestration perspective. Information & Management, 52(2), 200–209. https://doi.org/10.1016/j.im.2014.08.006
Davis, F. D., (1989). ‘Perceived Usefulness, Perceived Ease of Use, and User Accep‐ tance of Information Technology’, dalam MIS Quarterly, VOl. 13, No. 3, hal. 319‐340.
Jogiyanto. (2007). Sistem Informasi Keperilakuan. Yogyakarta : Penerbit ANDI.
Ghozali, Imam dan Hengky Latan. (2015). Partial Least Square Konsep, Teknik dan Aplikasi Menggunakan Program SmartPLS 3.0 untuk Penelitian Empiris (Edisi ke-2). Semarang: Badan Penerbit Universitas Diponegoro.
Ghozali, Imam. (2018). Aplikasi Analisis Multivariate dengan Program IBM SPSS 25. Semarang: Badan Penerbit Universitas Diponegoro.
Hanggono, et all (2015). Analisis Atas Praktek Tam (Technology Acceptance Model) Dalam Mendukung Bisnis Online Dengan Memanfaatkan Jejaring Sosial Instagram. Fakultas Ilmu Administrasi, Universitas Brawijaya.
Hair, J.F. et al. (2009) ‘Multiple regression analysis’, in Multivariate data analysis. 7th edn. Prentice Hall, pp. 173–174.
Hair, Joseph F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS SEM) (2th Ed). Thousand Oaks: Sage.
Hair, Joseph F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis (7th Ed). Englewood Cliffs: Prentice Hall.
H. Jogiyanto. (2008). Metodelogi Penelitian Sistem Informasi. Yogyakarta: Penerbit ANDI.
Hansen, J. M., Saridakis, G., & Benson, V. (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Computers in Human Behavior, 80, 197–206. https://doi.org/10.1016/j.chb.2017.11.010
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1): 115-135.
I. Panggih R D, (2014) “Analisis Pengaruh Persepsi Manfaat, Kemudahan Penggunaan dan Kredibilitas Terhadap Minat Penggunaan Berulang Internet Banking Dengan Sikap Penggunaan Sebagai Variabel Intervening,”
Jung, W., & Yim, H. R. (2016). Effects of Mental Model and Intrinsic Motivation on Behavioral Intention of Smartphone Application Users. ETRI Journal, 38(3), 589–598.https://doi.org/https://doi.org/10.4218/etrij.16.0115.044 7
Kotler, P. and Keller, K.L. (2006) Marketing Management. 12th edn. Pearson Prentice Hall.
Krisnawijaya, Ngakan dan I Gusti (2019) Evaluasi Penerapan Undiknas Mobile: Analisis Technology Acceptance Model. Program Studi Teknologi Informasi, Fakultas Teknik dan Informatika, Universitas Pendidikan Nasional (Undiknas) Denpasar, Bali. http://jurnal.stiki-indonesia.ac.id/index.php/sintechjournal
Kuliya, M., & Usman, S. (2021). Perceptions of E-learning among undergraduates and academic staff of higher educational institutions in north-eastern Nigeria. Education and Information Technologies, 26(2), 1787–1811. https://doi.org/10.1007/s10639-020-10325-x
Lai, Y. H. (2019). The Application of Meta-Analytic SEM on Exploring Factors that Influence Teachers’ Usage of Interactive Whiteboard. Pedagogical Research, 4(3), 1–10.
Mahendra (2016). Penggunaan Technology Acceptance Model (TAM) Dalam Mengevaluasi Penerimaan Pengguna Terhadap Sistem Informasi Pada Pt.Ari Jakarta Jurnal Sistem Informasi STMIK Antar Bangsa. Vol.V No.2 - Agustus 2016
Mahendra (2015) Analisa Penerimaan Pengguna Sistem Informasi Koperasi Pada Koperasi Karyawan Budi Setia Jakarta Dengan Technology Acceptance Model. Jurnal Sistem Informasi STMIK Antar Bangsa. Vol.V No.2 - Agustus 2019
Mahmudi, 2010, Manajemen Kinerja Sektor Publik, UPP STIM YKPN, Yogyakarta
Misirlis, N., & Munawar, H. Bin. (2023). An analysis of the technology acceptance model in understanding university students behavioral intention to use metaverse technologies.
Mohd Elmagzoub Babiker, A. A. (2015). For Effective Use of Multimedia in Education, Teachers Must Develop their Own Educational Multimedia Applications. In TOJET: The Turkish Online Journal of Educational Technology (Vol. 14, Issue 4).
Morissan. (2014). Metode Penelitian Survei (Edisi ke-2). Jakarta: Prenada Media Group.
Montazemi, A. R., & Qahri-Saremi, H. (2015). Factors affecting adoption of online banking: A meta-analytic structural equation modeling study. Information & Management, 52(2), 210–226. https://doi.org/10.1016/j.im.2014.11.002
Oinas-Kukkonen, H., & Harjumaa, M. (2009). Persuasive Systems Design: Key Issues, Process Model, and System Features. Communications of the Association for Information Systems, 24. https://doi.org/10.17705/1CAIS.02428
Peraturan Menteri Badan Usaha Milik Negara Nomor: PER-5/MBU/09/2022 tentang Penerapan Manajemen Risiko pada Badan Usaha Milik Negara. Pada pasal 2 ayat (1)
Purba, R. A., Sudarso, A., Silitonga, H. P., Sisca, S., Supitriyani, S., Yusmanizar, Nainggolan, L. E., & Sudirman, A. (2020). Aplikasi Teknologi Informasi: Teori dan Implementasi. In Angewandte Chemie International Edition, 6(11), 951–952. (Vol. 2, Issue 1). Yayasan Kita Menulis
Revythi, A., & Tselios, N. (2019). Extension of technology acceptance model by using system usability scale to assess behavioral intention to use e-learning. Education and Information Technologies, 24(4), 2341–2355. https://doi.org/10.1007/s10639-019-09869-4
Richter, A., Heinrich, P., Stocker, A., & Schwabe, G. (2018). Digital Work Design. Business & Information Systems Engineering, 60(3), 259–264. https://doi.org/10.1007/s12599-018-0534-4
Saputra, E., Misfariyan. 2013. “Analisi Penerimaan Sistem Informsi Manajemen Rumah Sakit Umum Daerah Bangkinang Menggunakan Metode Technology Acceptance Model (TAM)”. Program Studi Sistem Informasi. Universitas Islam Negeri Sultan Syarif Kasim Riau.
Sarstedt et al. (2017). The use of sampling methods inadvertising research: A gap between theory and practice. International Journal of Advertising, forthcoming.
Sekaran, Uma dan Roger Bougie. (2017). Metode Penelitian untuk Bisnis: Pendekatan Pengembangan-Keahlian (Edisi ke-6). Jakarta: Penerbit Salemba Empat.
Setyawati, Rena. (2020). Pengaruh Perceived Usefullness, Perceived Ease Of UseTerhadap Behavioral Intention To Use Dengan Atittude Towards Using Sebagai Variabel Intervening. Fakultas Ekonomi Universitas Sarjanawiyata Tamansiswa Yogyakarta. Jurnal Ekobis Dewantara Vol. 3 No. 1 Januari 2020
Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13–35. https://doi.org/10.1016/j.compedu.2018.09.009
Sukma, et all (2020) Analisis Pengaruh Perceived Usefulness, Perceived Ease Of Use Behavioral Intention To Use, Terhadap Actual System Use Dalam Menggunakan Sistem Esensus Pada AJB Bumiputera 1912 Kantor Cabang Wlingi. Program Studi Sistem Informasi, Universitas Brawijaya. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer. Vol. 4, No. 9, September 2020, hlm. 2753-2761
Sugiyono. (2019). Metodelogi Penelitian Kuantitatif dan Kualitatif Dan R&D. Bandung: ALFABETA
Wenker, K. (2022). A systematic literature review on persuasive technology at the workplace. Patterns, 3(8), 100545. https://doi.org/10.1016/j.patter.2022.100545
Wida, et all (2016). Aplikasi Model Tam (Technology Acceptance Model)Pada Perilaku Pengguna Instagram. Fakultas Ekonomi dan Bisnis Universitas Udayana (Unud). Bali
Widyanti, Jovita dan Osly. (2019). Leverage of Perceived Usefulness, Perceived Ease of Use, Information Quality, Behavioral Intention towards Intention to Use Mobile Banking. Faculty of Economics, Universitas Negeri Jakarta.
Wong, K. K. (2013). Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques Using SmartPLS. Marketing Bulletin, 2013, 24, Technical Note 1
Ahmad, W. N. W., Ali, N. M., & Rodzuan, A. R. A. (2020). Understanding user Emotions Through Interaction with Persuasive Technology. (IJACSA) International Journal of Advanced Computer Science and Applications, 11(9), 225–235.
Al-Emran, M., Elsherif, H. M., & Shaalan, K. (2016). Investigating attitudes towards the use of mobile learning in higher education. Computers in Human Behavior, 56, 93–102. https://doi.org/10.1016/j.chb.2015.11.033
Ali, Suci. (2017). Pengaruh Perceived Usefullness, Perceived Ease Of Use Terhadap Behavioral Intention To Use Dengan Atittude Towards Using Sebagai Variabel Intervening. Fakultas Ekonomi dan Bisnis Universitas Brawijaya
Almaiah, M. A. (2018). Acceptance and usage of a mobile information system services in University of Jordan. Education and Information Technologies, 23(5), 1873–1895. https://doi.org/10.1007/s10639-018-9694-6
Chairani, Septi dan Dien. (2022). Penerapan Metode TAM Untuk Mengukur Penerimaan Aplikasi E- Persuratan Di Kantor Disnav Palembang. JTSI, Vol. 3, No. 1, April 2022: 13-24
Chen, L., & Aklikokou, A. K. (2020). Determinants of E-government Adoption: Testing the Mediating Effects of Perceived Usefulness and Perceived Ease of Use. International Journal of Public Administration, 43(10), 850–865. https://doi.org/10.1080/01900692.2019.1660989
Chin, W. W. (1998). The Partial Least Squares Approach to Structural Equation Modeling. In G.A. Marcoulides (Ed.), Modern Methods for Business Research (pp. 295–358). Mahwah, New Jersey: Lawrence Erlbaum Associates.
Christian, Ade. (2019). Evaluasi Penerapan Inventory System Menggunakan Technology Acceptance Model. Teknik Informatika STMIK Nusa Mandiri Jakarta. Jurnal PILAR Nusa Mandiri Vol. 15, No. 1 Maret 2019
Cui, M., & Pan, S. L. (2015). Developing focal capabilities for e-commerce adoption: A resource orchestration perspective. Information & Management, 52(2), 200–209. https://doi.org/10.1016/j.im.2014.08.006
Davis, F. D., (1989). ‘Perceived Usefulness, Perceived Ease of Use, and User Accep‐ tance of Information Technology’, dalam MIS Quarterly, VOl. 13, No. 3, hal. 319‐340.
Jogiyanto. (2007). Sistem Informasi Keperilakuan. Yogyakarta : Penerbit ANDI.
Ghozali, Imam dan Hengky Latan. (2015). Partial Least Square Konsep, Teknik dan Aplikasi Menggunakan Program SmartPLS 3.0 untuk Penelitian Empiris (Edisi ke-2). Semarang: Badan Penerbit Universitas Diponegoro.
Ghozali, Imam. (2018). Aplikasi Analisis Multivariate dengan Program IBM SPSS 25. Semarang: Badan Penerbit Universitas Diponegoro.
Hanggono, et all (2015). Analisis Atas Praktek Tam (Technology Acceptance Model) Dalam Mendukung Bisnis Online Dengan Memanfaatkan Jejaring Sosial Instagram. Fakultas Ilmu Administrasi, Universitas Brawijaya.
Hair, J.F. et al. (2009) ‘Multiple regression analysis’, in Multivariate data analysis. 7th edn. Prentice Hall, pp. 173–174.
Hair, Joseph F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS SEM) (2th Ed). Thousand Oaks: Sage.
Hair, Joseph F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis (7th Ed). Englewood Cliffs: Prentice Hall.
H. Jogiyanto. (2008). Metodelogi Penelitian Sistem Informasi. Yogyakarta: Penerbit ANDI.
Hansen, J. M., Saridakis, G., & Benson, V. (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Computers in Human Behavior, 80, 197–206. https://doi.org/10.1016/j.chb.2017.11.010
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1): 115-135.
I. Panggih R D, (2014) “Analisis Pengaruh Persepsi Manfaat, Kemudahan Penggunaan dan Kredibilitas Terhadap Minat Penggunaan Berulang Internet Banking Dengan Sikap Penggunaan Sebagai Variabel Intervening,”
Jung, W., & Yim, H. R. (2016). Effects of Mental Model and Intrinsic Motivation on Behavioral Intention of Smartphone Application Users. ETRI Journal, 38(3), 589–598.https://doi.org/https://doi.org/10.4218/etrij.16.0115.044 7
Kotler, P. and Keller, K.L. (2006) Marketing Management. 12th edn. Pearson Prentice Hall.
Krisnawijaya, Ngakan dan I Gusti (2019) Evaluasi Penerapan Undiknas Mobile: Analisis Technology Acceptance Model. Program Studi Teknologi Informasi, Fakultas Teknik dan Informatika, Universitas Pendidikan Nasional (Undiknas) Denpasar, Bali. http://jurnal.stiki-indonesia.ac.id/index.php/sintechjournal
Kuliya, M., & Usman, S. (2021). Perceptions of E-learning among undergraduates and academic staff of higher educational institutions in north-eastern Nigeria. Education and Information Technologies, 26(2), 1787–1811. https://doi.org/10.1007/s10639-020-10325-x
Lai, Y. H. (2019). The Application of Meta-Analytic SEM on Exploring Factors that Influence Teachers’ Usage of Interactive Whiteboard. Pedagogical Research, 4(3), 1–10.
Mahendra (2016). Penggunaan Technology Acceptance Model (TAM) Dalam Mengevaluasi Penerimaan Pengguna Terhadap Sistem Informasi Pada Pt.Ari Jakarta Jurnal Sistem Informasi STMIK Antar Bangsa. Vol.V No.2 - Agustus 2016
Mahendra (2015) Analisa Penerimaan Pengguna Sistem Informasi Koperasi Pada Koperasi Karyawan Budi Setia Jakarta Dengan Technology Acceptance Model. Jurnal Sistem Informasi STMIK Antar Bangsa. Vol.V No.2 - Agustus 2019
Mahmudi, 2010, Manajemen Kinerja Sektor Publik, UPP STIM YKPN, Yogyakarta
Misirlis, N., & Munawar, H. Bin. (2023). An analysis of the technology acceptance model in understanding university students behavioral intention to use metaverse technologies.
Mohd Elmagzoub Babiker, A. A. (2015). For Effective Use of Multimedia in Education, Teachers Must Develop their Own Educational Multimedia Applications. In TOJET: The Turkish Online Journal of Educational Technology (Vol. 14, Issue 4).
Morissan. (2014). Metode Penelitian Survei (Edisi ke-2). Jakarta: Prenada Media Group.
Montazemi, A. R., & Qahri-Saremi, H. (2015). Factors affecting adoption of online banking: A meta-analytic structural equation modeling study. Information & Management, 52(2), 210–226. https://doi.org/10.1016/j.im.2014.11.002
Oinas-Kukkonen, H., & Harjumaa, M. (2009). Persuasive Systems Design: Key Issues, Process Model, and System Features. Communications of the Association for Information Systems, 24. https://doi.org/10.17705/1CAIS.02428
Peraturan Menteri Badan Usaha Milik Negara Nomor: PER-5/MBU/09/2022 tentang Penerapan Manajemen Risiko pada Badan Usaha Milik Negara. Pada pasal 2 ayat (1)
Purba, R. A., Sudarso, A., Silitonga, H. P., Sisca, S., Supitriyani, S., Yusmanizar, Nainggolan, L. E., & Sudirman, A. (2020). Aplikasi Teknologi Informasi: Teori dan Implementasi. In Angewandte Chemie International Edition, 6(11), 951–952. (Vol. 2, Issue 1). Yayasan Kita Menulis
Revythi, A., & Tselios, N. (2019). Extension of technology acceptance model by using system usability scale to assess behavioral intention to use e-learning. Education and Information Technologies, 24(4), 2341–2355. https://doi.org/10.1007/s10639-019-09869-4
Richter, A., Heinrich, P., Stocker, A., & Schwabe, G. (2018). Digital Work Design. Business & Information Systems Engineering, 60(3), 259–264. https://doi.org/10.1007/s12599-018-0534-4
Saputra, E., Misfariyan. 2013. “Analisi Penerimaan Sistem Informsi Manajemen Rumah Sakit Umum Daerah Bangkinang Menggunakan Metode Technology Acceptance Model (TAM)”. Program Studi Sistem Informasi. Universitas Islam Negeri Sultan Syarif Kasim Riau.
Sarstedt et al. (2017). The use of sampling methods inadvertising research: A gap between theory and practice. International Journal of Advertising, forthcoming.
Sekaran, Uma dan Roger Bougie. (2017). Metode Penelitian untuk Bisnis: Pendekatan Pengembangan-Keahlian (Edisi ke-6). Jakarta: Penerbit Salemba Empat.
Setyawati, Rena. (2020). Pengaruh Perceived Usefullness, Perceived Ease Of UseTerhadap Behavioral Intention To Use Dengan Atittude Towards Using Sebagai Variabel Intervening. Fakultas Ekonomi Universitas Sarjanawiyata Tamansiswa Yogyakarta. Jurnal Ekobis Dewantara Vol. 3 No. 1 Januari 2020
Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13–35. https://doi.org/10.1016/j.compedu.2018.09.009
Sukma, et all (2020) Analisis Pengaruh Perceived Usefulness, Perceived Ease Of Use Behavioral Intention To Use, Terhadap Actual System Use Dalam Menggunakan Sistem Esensus Pada AJB Bumiputera 1912 Kantor Cabang Wlingi. Program Studi Sistem Informasi, Universitas Brawijaya. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer. Vol. 4, No. 9, September 2020, hlm. 2753-2761
Sugiyono. (2019). Metodelogi Penelitian Kuantitatif dan Kualitatif Dan R&D. Bandung: ALFABETA
Wenker, K. (2022). A systematic literature review on persuasive technology at the workplace. Patterns, 3(8), 100545. https://doi.org/10.1016/j.patter.2022.100545
Wida, et all (2016). Aplikasi Model Tam (Technology Acceptance Model)Pada Perilaku Pengguna Instagram. Fakultas Ekonomi dan Bisnis Universitas Udayana (Unud). Bali
Widyanti, Jovita dan Osly. (2019). Leverage of Perceived Usefulness, Perceived Ease of Use, Information Quality, Behavioral Intention towards Intention to Use Mobile Banking. Faculty of Economics, Universitas Negeri Jakarta.
Wong, K. K. (2013). Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques Using SmartPLS. Marketing Bulletin, 2013, 24, Technical Note 1