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All Journal Jurnal Manajemen dan Organisasi Jurnal Administrasi Bisnis iBuss Management JURNAL ILMU MANAJEMEN DAN BISNIS Jurnal Manajemen Strategi dan Aplikasi Bisnis Arthavidya Jurnal Ilmiah Ekonomi Jurnal Humaniora : Jurnal Ilmu Sosial, Ekonomi dan Hukum The International Journal of Business Review (The Jobs Review) Jurnal Review Pendidikan dan Pengajaran (JRPP) Value: Jurnal Manajemen dan Akuntansi Jurnal Pendidikan dan Konseling eCo-Buss Jurnal Manajemen Bisnis dan Kewirausahaan Prima Ekonomika : Jurnal Ekonomi dan Bisnis Bisman (Bisnis dan Manajemen): The Journal of Business and Management MANNERS Management and Entrepreneurship Journal Jurnal EK dan BI Jurnal Manajemen dan Bisnis Kreatif jurnal syntax admiration ATRABIS: Jurnal Administrasi Bisnis (e-Journal) Journal of Economics and Business UBS Jurnal Ekonomi, Manajemen dan Perbankan (Journal of Economics, Management and Banking) Jurnal Nasional Manajemen Pemasaran dan SDM Jurnal Ilmiah Wahana Pendidikan Jurnal Arastirma juremi: jurnal riset ekonomi EKONOMIKA45 JAMBURA: JURNAL ILMIAH MANAJEMEN DAN BISNIS Reviu Akuntansi, Manajemen, dan Bisnis Economic Reviews Journal MES Management Journal Journal of Innovation Research and Knowledge Media Bina Ilmiah Factory Jurnal Industri, Manajemen dan Rekayasa Sistem Industri Jurnal Indonesia Sosial Teknologi JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Manajemen Maranatha eJEBA
Angela Caroline, Angela
Universitas Katolik Parayhyangan
Religion Aerospace Engineering Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Sikap dan Niat Terhadap AI: Studi Perbandingan Generasi Berdasarkan Perilaku Terencana Graciella Lorenz Susanto; Angela Caroline; Yoke P. Kornarius; Triningtyas E. P. Gusti; Agus Gunawan
eCo-Buss Vol. 7 No. 2 (2024): eCo-Buss
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/eb.v7i2.1614

Abstract

  Penelitian ini bertujuan untuk mengeksplorasi sikap dan niat keberlanjutan terhadap penggunaan Kecerdasan Buatan (AI) di antara tiga kelompok generasi, yaitu Generasi X, Generasi Y (yang sering dikenal sebagai Milenial), dan Generasi Z. Dalam penelitian ini, digunakan kerangka Teori Perilaku Berencana (TPB) sebagai landasan untuk memahami bagaimana setiap kelompok generasi tersebut memandang AI serta bagaimana pandangan mereka memengaruhi niat untuk terus menggunakan teknologi ini. Dengan menggunakan metode penarikan sampel purposive, data dikumpulkan dari 101 responden yang memiliki pengetahuan dan familiaritas dengan AI. Instrumen survei yang digunakan telah diuji validitas dan reliabilitasnya, memastikan bahwa pengukuran sikap terhadap AI dan niat keberlanjutan dilakukan secara akurat. Untuk menganalisis data, digunakan analisis regresi guna menguji hubungan yang dihipotesiskan antara sikap dan niat keberlanjutan penggunaan AI. Hasil penelitian menunjukkan bahwa sikap seseorang terhadap AI sangat berpengaruh pada niat mereka untuk terus menggunakan teknologi tersebut. Secara khusus, Generasi Z menunjukkan sikap paling positif dan memiliki niat tertinggi untuk melanjutkan penggunaan AI di masa depan, diikuti oleh Generasi Y dan terakhir Generasi X. Temuan ini sangat penting karena memberikan wawasan yang dapat digunakan oleh para pengembang teknologi AI, pendidik, serta pembuat kebijakan untuk merancang strategi yang lebih efektif dan sesuai dengan preferensi masing-masing generasi. Berdasarkan hasil penelitian ini, para pemangku kepentingan diharapkan dapat menyesuaikan inisiatif mereka dalam mengembangkan AI sehingga lebih relevan bagi setiap kelompok usia. Penelitian lebih lanjut disarankan untuk memperluas cakupan demografi dan menggunakan pendekatan longitudinal guna melacak perubahan sikap dari waktu ke waktu.
Persepsi Generasi Z Terhadap Penggunaan Teknologi AI di Tempat Kerja Nafa Tobing; Yoke Kornarius; Angela Caroline; Triningtyas Elisabeth Putri Gusti; Agus Gunawan
eCo-Buss Vol. 7 No. 3 (2025): eCo-Buss
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/eb.v7i3.1667

Abstract

Teknologi AI telah menjadi motor penggerak perubahan signifikan di berbagai sektor, termasuk dunia pekerjaan. Generasi Z, sebagai digital natives yang sangat familiar dengan teknologi, tidak luput dari kekhawatiran akan teknologi AI, meskipun mereka cenderung lebih adaptif terhadap inovasi teknologi. Penelitian ini bertujuan untuk menyelidiki hubungan antara sikap umum pekerja terhadap penggunaan teknologi AI dengan niat mereka untuk terus menggunakannya. Metode penelitian yang digunakan adalah Mixed Method, gabungan metode kualitatif dan kuantitatif. Data kuantitatif yang diperoleh sebanyak 184 responden melalui kuesioner, sedangkan data kualitatif yang diperoleh sebanyak 10 responden melalui wawancara. Hasil analisis data menggunakan uji regresi membuktikan adanya pengaruh sikap terhadap niat terus menggunakan teknologi AI. Data kemudian disajikan dalam bentuk tabel distribusi frekuensi untuk melihat kecenderungan jawaban responden. Penelitian ini menemukan bahwa responden memiliki sudut pandang yang saling bertentangan terhadap teknologi AI. Di masa kini, AI dianggap dapat mengancam pekerjaan mereka, tetapi di masa depan dengan adanya regulasi yang tepat, teknologi AI akan dapat memberikan banyak manfaat. Variabilitas pandangan ini mencerminkan kompleksitas isu terkait penggunaan AI di masa depan, dan pentingnya mempertimbangkan berbagai perspektif untuk memahami dinamika serta tantangan seiring perkembangan teknologi AI.
Dampak Adopsi Teknologi terhadap Tingkat Technostress pada Staff Rumah Sakit X setelah perubahan Sistem Enterprise Resource Planning (ERP) Irene Santoso; Angela Caroline; Yoke Pribadi Kornarius; Agus Gunawan
eCo-Buss Vol. 8 No. 2 (2025): eCo-Buss
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/eb.v8i2.2681

Abstract

 
THE IMPACT OF ATTITUDES ON THE INTENTION TO USE ARTIFICIAL INTELLIGENCE TECHNOLOGY IN HEALTHCARE SERVICES Maria Arifani; Yoke Pribadi; Angela Caroline; Triningtyas Elisabeth Putri Gusti; Agus Gunawan
Jurnal Administrasi Bisnis Vol. 20 No. 2 (2024)
Publisher : Business Administration Department - Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jab.v20i2.9108.118-125

Abstract

This study explores how Artificial Intelligence (AI) is being adopted in workplace settings, with a focus on the healthcare sector. Guided by the Theory of Planned Behavior (TPB) and Theory of Reasoned Action (TRA), the research examines factors that shape employees' willingness to continue using AI. Insights from 112 survey respondents from across various sectors in Indonesia especially in health sector, measuring General Attitude towards AI (GAAIS) and Continuance Intention (CI) give results that indicate a positive attitude towards AI significantly affects employees’ intention to continue using AI, with perceived support and skills enhancing acceptance. Interviews with healthcare professionals reveal that positive attitudes, trust in AI, and support from peers significantly influence adoption. However, concerns about data privacy and algorithmic fairness remain key challenges. While AI demonstrates its potential to improve efficiency in both routine and complex tasks, successful integration requires human supervision and tailored training. Conclusively, companies are recommended to foster a supportive environment and provide training to reduce resistance and enhance AI integration for productivity and efficiency. By enhancing transparency, strengthening data protection, and fostering a supportive environment, organizations can ensure AI becomes a trusted partner in driving productivity and innovation.
THE EFFECT OF DIGITAL LITERACY ON KNOWLEDGE SHARING INTENTION OF EMPLOYEES IN YOGYAKARTA AND WEST JAVA Sophie Johanna Panget; Agus Gunawan; Yoke Pribadi Kornarius; Angela Caroline
Jurnal Administrasi Bisnis Vol. 20 No. 2 (2024)
Publisher : Business Administration Department - Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jab.v20i2.9498.129-142

Abstract

The rapid advancement of digital technologies has strengthened the strategic importance of digital literacy in fostering knowledge‐sharing behavior within organizations. This study examines the effect of digital literacy on employees’ knowledge‐sharing intention in Kota Yogyakarta and Kota Bandung, two major urban centers in Indonesia. A mixed‐methods approach was employed, involving 60 respondents through questionnaire surveys supported by narrative analysis. Quantitative data were analyzed using validity and reliability tests and simple linear regression. The results indicate that digital literacy has a significant positive influence on knowledge‐sharing intention. Furthermore, employees in Kota Bandung exhibit higher knowledge‐sharing intention compared to those in Kota Yogyakarta, suggesting contextual differences in digital readiness and knowledge culture. These findings highlight the need for organizations to strengthen continuous digital literacy initiatives as a strategy to enhance collaborative knowledge practices in the workplace.
PENGARUH PRAKTIK PENGELOLAAN PENGETAHUAN TERHADAP KINERJA ORGANISASI RETAIL X: THE INFLUENCE OF KNOWLEDGE MANAGEMENT PRACTICES ON THE PERFORMANCE OF RETAIL ORGANIZATION X Cahyadi, Angelica; Caroline, Angela
e-Journal Ekonomi Bisnis dan Akuntansi Vol. 13 No. 1 (2026): e-JEBA Volume 13 Number 1 Year 2026
Publisher : e-Journal Ekonomi Bisnis dan Akuntansi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/e-jeba.v13i1.60023

Abstract

Knowledge is a valuable asset for companies and good knowledge management is the basis for creating a sustainable company or organization that can survive changes and global competition. Knowledge management practice has four dimensions which aim to manage existing knowledge in the organization to be used effectively and efficiently so that later it can improve organizational performance. This study aims to measure how influential knowledge management practices are on organizational performance in the parent company Retail X (one of the leading companies in the retail industry in Indonesia). In this study, survey methods were used and the type of research used in this study was causal. Data collection techniques used by distributing questionnaires and interviews. The data analysis technique was carried out with quantitative data analysis techniques. The result of the research conducted indicate that : the knowledge management practice variable had a positive influence of 19.8% on organizational performance.
Kebijakan Pengelolaan Jaringan Digital Untuk Meningkatkan Niat Berbagi Pengetahuan Antar Pegawai Angela Caroline; Agus Gunawan; Yoke Pribadi Kornarius
Jurnal Manajemen Maranatha Vol 21 No 2 (2022): Jurnal Manajemen Maranatha
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jmm.v21i2.4392

Abstract

The paradigm shift from the resource-based economy to the knowledge-based economy requires companies to manage their knowledge. Knowledge management practices consist of discovering, recording, sharing, and applying them, where knowledge sharing activities are considered as the most important component in the practice of knowledge management. The intention to share knowledge within the company can be supported by adequate information technology infrastructure, where the use of information technology infrastructure has increased since the work-from-home policy was implemented during the COVID-19 pandemic. This research aims to show the influence of information technology infrastructure on the intention to share knowledge in the MSME group compared to large enterprises and recommend information technology infrastructure management policies in order to increase the intention to share knowledge among employees. This research uses survey method to observe social phenomena related to employee responses to the information technology infrastructure components provided by the company and their intention to share knowledge. Respondents for this study consisted of 617 employees in the service sector from various companies in the MSME and Large Enterprise groups. The data are analyzed using descriptive statistical tests and inferential statistical tests, namely regression tests and differential tests. The results show that there is a relationship and influence between the information technology infrastructure variables on the intention to share knowledge. Based on the Mann-Whitney U test, the perception of employees of the MSME group on the information technology infrastructure variable tends to be higher than that of the Large Enterprise group. This is due to the large number of MSMEs in Indonesia that utilize cloud computing technology. On the other hand, MSMEs need to prepare a clear division of roles in managing information technology infrastructure.
Analysis of Factors Influencing Sustainable Intentions for The Use of Artificial Intelligence Technology in Indonesia: Integration of The Technology Acceptance Model And Theory of Planned Behavior Sarah Adelina Jusak; Angela Caroline; Agus Gunawan; Yoke Pribadi Kornarius
Jurnal Syntax Admiration Vol. 6 No. 4 (2025): Jurnal Syntax Admiration
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jsa.v6i4.2248

Abstract

This study examines in depth the factors influencing the sustainable intention to use Artificial Intelligence (AI) technology among professionals in Indonesia. By integrating the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), this study aims to identify and analyze the key determinants driving the continued use of AI in the workplace. Using a quantitative approach, data were collected through an online survey involving 113 respondents actively using AI across various industry sectors and analyzed using structural equation modeling (SEM). The results indicate that perceived usefulness, perceived ease of use, and subjective norms have a significant positive effect on the intention to continue using AI. Notably, perceived usefulness emerged as the strongest predictor, highlighting the critical role of AI's practical value in encouraging sustained use. In addition, perceived behavioral control significantly influences sustainable intention, underscoring the importance of organizational support and skill development in facilitating long-term AI adoption. These findings contribute to the theoretical development of technology acceptance in professional settings and offer practical insights for organizations aiming to enhance AI integration strategies.
Peran Innovative Work Behavior sebagai Moderator pada Hubungan antara Adopsi Teknologi Industri 4.0 dengan Technostress di PT Gelindo Garmentama Terry Winardi; Yoke Pribadi Kornarius; Angela Caroline; Agus Gunawan
Factory Jurnal Industri, Manajemen dan Rekayasa Sistem Industri Vol. 4 No. 1 (2025): Edisi Agustus
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/factory.v4i1.849

Abstract

Revolusi Industri 4.0 adalah sebuah transformasi besar yang mengubah cara perusahaan beroperasi melalui adopsi teknologi canggih seperti Internet of Things (IoT), kecerdasan buatan (AI), big data, dan otomatisasi. Adanya peran perilaku inovatif karyawan atau innovative work behavior merupakan salah satu faktor penting dalam kesuksesan perusahaan di era digital. Perilaku inovatif adalah kemampuan karyawan untuk mengeksplorasi ide, menghasilkan solusi, dan menerapkan ide-ide baru dalam pekerjaan mereka untuk meningkatkan produktivitas dan efisiensi. Namun, tanpa pengelolaan yang baik, adopsi teknologi baru seperti Industri 4.0 justru dapat memicu technostress, yang menghambat perilaku inovatif karyawan. Penelitian ini bertujuan untuk mengetahui pengaruh techno adoption industri 4.0 terhadap technostress dengan variabel pemoderator innovative work behavior Penelitian ini menggunakan metode penelitian kuantitatif dengan Analisis Model Regresi dengan Interaksi. Jumlah sample dalam penelitian ini adalah 126 responden. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah dengan menyebarkan kuesioner yang disebarkan kepada karyawan di PT Gelindo Garmentama.
Pengaruh GAAIS terhadap Personal Innovativeness: Sikap pada Lintas Generasi Vincentia Renata Kusuma; Yoke Pribadi Kornarius; Angela Caroline; Triningtyas Elisabeth Putri Gusti; Agus Gunawan
Reviu Akuntansi, Manajemen, dan Bisnis Vol 4 No 2 (2024): Desember
Publisher : Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/rambis.v4i2.3436

Abstract

Purpose: To see the attitude of AI towards personal innovativeness and to see the differences in attitudes between generation Z and previous generations Research methodology: Respondents in this study are 1,293 people consisted of entrepreneurs and professional workers covering generation Z and previous generations. Results: GAAIS has influence of 9.5% on personal innovativeness, bus the data showa no statistically significant difference in attitude towards AI between cross-generational. Limitations: The analysis in this study still requires the addition of more in-depth variables such as personality, trust, social and subject norms to be able to predict attitudes towards AI in more depth. Contribution: This study is expected to provide deeper insight into the influence of attitudes towards AI on personal innovativeness, considering that in the future AI will be close on society.
Co-Authors Achmad Faisal Adrian, Jeff Adrianus Tirta Agus Gunawan Agus Gunawan Agus Gunawan Agus Gunawan Ahmad Reza Albertus Iwan Hendarta Aurey Josephine Wu Budi Tjahja Halim Cahyadi, Angelica Chandrasasmita, Ferdinand Choiriyah Nurul Fadila Cindy Verlia Delinna Delinna Desi Pakadang Devina, Sheryl Dewi, Putri Kania Dian Putrawangsa Ferrosnita, Khristin Florencia Judith Widyarini Fortune, Charis Millennia Fransisca, Fasya Fransiska Sari Sunaryanti Graciella Lorenz Susanto Gusti, Triningtyas Elisabeth Putri Hanna Kirana Apriliana Helena Yosa Sundara Irene Santoso Jacobs, Mark Levi Jeff Adrian Jeff Adrian Johannes Kristiaji Hendarto Joni Yusufa Khemiko Khemiko Khristin Ferrosnita Kornarius, Yoke Kornarius, Yoke P. Kristie, Karina Kusuma, Vincentia Renata Leksono, Daniel Lovelia Sukamtini Mangguara, Yosef Andriat Maria Arifani Mega Ayunda Putri Meiry Ramdani Anwar Munanda, Agus Nafa Tobing Pasolon, Fransario Ananta Paul Jonathan Pribadi, Yoke Reyski Auryn Rio Fernando, Rio Rita Novianti Rizdiana, Jeanette Chelsea Sandra Sunanto Sandra Sunanto Santi Sarah Adelina Jusak Shelvi Shelvi Sheryl Devina Sheryl Devina Sirait, Bambang Leonardus Sophie Johanna Panget Terry Winardi Theresia Gunawan Theresia Ivana Pratiwi Triningtyas E. P. Gusti Triningtyas E. P. Gusti Triningtyas Elisabeth Putri Gusti Triningtyas Elisabeth Putri Gusti Triningtyas Elisabeth Putri Gusti Valerio Fanama Vania Lystia Vincencia Lourine Vincentia Renata Kusuma Violivia Leony Johanesputri Viona Elizabeth Permana Wibisono, Nicholaus Alphadimas Winata, Janet Hadisurya Yaprimadi, Ivan Mulyadi Yoke Kornarius Yoke P. Kornarius Yoke P. Kornarius Yoke Pribadi Yoke Pribadi Yoke Pribadi Yoke Pribadi Yoke Pribadi Kornariu Yoke Pribadi Kornarius Yuan Natalia Puteri Wibowo Yusufa, Joni Zahra Haryadi