Peran Innovative Work Behavior Sebagai Moderator Pada Hubungan Antara Adopsi Teknologi Industri 4.0 Dengan Technostress Di PT. Gelindo Garmentama
DOI:
https://doi.org/10.30595/jmbt.v5i1.25481Keywords:
Technology Adoption, Industry 4.0, Technostress, Innovative Work BehaviorAbstract
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.
References
Bondanini, G., Giorgi, G., Ariza-Montes, A., Vega-Muñoz, A., & Andreucci-Annunziata, P. (2020). Technostress dark side of technology in the workplace: a scientometric analysis. International Journal of Environmental Research and Public Health, 17(21), 1–25. https://doi.org/10.3390/ijerph17218013
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. 36(4), 1165–1188. https://www.jstor.org/stable/41703503
Hollander, J. M., & Xu, Y. (2019). Advances in Manufacturing Automation: Trends, Opportunities, and Challenges. Journal of Manufacturing Science and Engineering, 141 (1).
Juliandi, A., Irfan, Manurung, S., & Satriawan, B. (2018). Mengolah Data Penelitian Bisnis dengan SPSS. Lembaga Penelitian dan Penulisan Ilmiah AQLI.
Kuczynski, M., & Wróblewski, R. (2020). The Impact of Automation on Production Processes. Journal of Automation and Control Engineering, 8(2), 118–126.
Kurfess, T. R. (2004). Robotics and Automation Handbook. In Robotics and Automation Handbook. https://doi.org/10.1201/9781420039733
Kurniawan, R., & Yuniarto, B. (2016). Analisis Regresi : Dasar dan Penerapannya dengan R (pertama). KENCANA.
Lee, J., Davari, H., Singh, J., & Pandhare, V. (2018). Industrial Artificial Intelligence for industry 4.0-based manufacturing systems. Manufacturing Letters, 18, 20–23. https://doi.org/10.1016/j.mfglet.2018.09.002
Malhotra, N. K., & Birks, D. S. (2013). Marketing Research : An Applied Approach.
Nurohmat, S. M., & Shaddiq, S. (2024). The Influence of Industry 4 . 0 on Work Behavior and Employee Productivity in Technology Companies. 328–335.
Pradini, W. (2015). PENGARUH BUDAYA K-POP TERHADAP NASIONALISME REMAJA. 47–69
Sekaran, U., & Bougie, R. (2016). Research Methods for Business. SPi Global.
Septriani, S. (2021). Transformational leadership style and innovative behavior with self-efficacy as a mediator. Human Resource Management Studies, 1(1), 58–67. https://doi.org/10.24036/hrms.v1i1.5
Sick, B., & Schwenke, C. (2018). ation in Production: Achievements and Challenges. Robotics and Computer-Integrated Manufacturing, 1–10.
Sugiyono. (2015). Metode Penelitian Kombinasi (Mixed Methods). Alfabeta.
Sugiyono. (2018). Metode Penelitian Kuantitatif. Bandung: Alfabeta.
Sugiyono. (2019). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta.
Suhardiman, M., & Saragih, S. (2022). Technostress Dan Work Life Balance Pada Karyawan: Kepuasan Kerja Sebagai Variabel Mediasi. INOBIS: Jurnal Inovasi Bisnis Dan Manajemen Indonesia, 6(1), 30–45. https://doi.org/10.31842/jurnalinobis.v6i1.255
Susiawan, A. M. (2013). Kepemimpinan Transformasional, Kepuasan Kerja dan Komitmen Organisasi. In Psikologi Indonesia. Surabaya: Persona.
Torres, F. C., Espinosa, J. C., Dornberger, U., & Acosta, Y. A. C. (2017). Leadership and Employees’ Innovative Work Behavior: Test of a Mediation and Moderation Model. Asian Social Science, 13(9), 9. https://doi.org/10.5539/ass.v13n9p9
Wang, J., Xu, C., Zhang, J., & Zhong, R. (2022). Big data analytics for intelligent manufacturing systems: A review. Journal of Manufacturing Systems, 62(June), 738–752. https://doi.org/10.1016/j.jmsy.2021.03.005
Yuan, Y., & Xu, X. (2017). Robotization in Manufacturing: Trends, Applications, and Future Directions. Journal of Manufacturing Processes, 1–15.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Master: Jurnal Manajemen dan Bisnis Terapan
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
MASTER: Jurnal Manajemen dan Bisnis Terapan is licensed under a Creative Commons Attribution 4.0 International License.
