Peran Pembaruan Teknologi Dalam Mengoptimalkan Efisiensi Operasional Di Bidang Manajemen Ekonomi: Tinjauan Kritis Literatur
Keywords:
operational efficiency, technological innovation, economic managementAbstract
In the era of the digital economy, technological innovation plays an important role in improving the operational efficiency of companies. This is especially relevant in economic management, where technologies such as automation, artificial intelligence (AI), big data analytics, and cloud computing can boost productivity, accelerate decision-making, and optimize resource allocation. This study aims to analyze the role of these technologies in economic management through a systematic literature review of research published in the last five years. Data searches were conducted through international journal databases such as ScienceDirect, SpringerLink, and IEEE Xplore, which include articles related to automation, AI, big data analytics, and cloud computing. The results of the study show that the appropriate application of technology can increase efficiency, reduce costs, and provide competitive advantages for companies. However, the application of this technology also requires significant investment and organizational readiness, both in infrastructure and technical skills of the workforce. The implications of the results of this study indicate that the application of technological innovation is an urgent need for companies to remain relevant in an increasingly competitive market, but also requires an adaptive human resource development strategy. These findings contribute to the understanding of the role of technology in economic management and the importance of organizational readiness in its application.
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References
Beno Jange, Dorce Idie, Ade Taufan, Muhamad Pattiran, & Jalmijn Tindage. (2023). Peran Inovasi Teknologi Dalam Meningkatkan Efisiensi Operasional Dalam Manajemen Ekonomi: Sebuah Kajian Kritis Literatur. Jurnal Review Pendidikan Dan Pengajaran, 7(1).
Chen, H., Wang, J., & Liu, T. (2021). Cloud computing and operational efficiency: A framework for business agility and cost-effectiveness. Journal of Business Technology Management, 23(1), 45-59.
Chen, L., Li, Y., Wang, Y., & Zhang, X. (2023). Machine learning in predicting consumer behavior: Applications and implications for management efficiency. Journal of Business Research, 147, 29-42.
Juniardi, E. (2024). Peran Dan Praktik Artificial Intelligence Akuntansi: Systematic Literature Review. Jurnal Revenue Jurnal AKuntansi, 4.
Kamble, S. S., Gunasekaran, A., & Dhone, N. S. (2021). Industry 4.0 and digital supply chain capabilities: A framework for logistics performance improvement. International Journal of Production Economics, 235, 108089.
Kim, S., Lee, Y., & Park, J. (2021). Big data analytics for risk management: A systematic review and future research directions. International Journal of Risk Management, 47(2), 203-215.
Kumar, A., Gupta, P., & Mishra, N. (2022). Robotic Process Automation (RPA): A pathway to digital transformation in business operations. Technology in Society, 70, 101964.
Lee, J., & Suh, M. (2023). Exploring AI-driven customer service: The role of chatbots in enhancing customer experience. Service Business, 15(2), 1-15.
Li, J., & Wang, L. (2023). Real-time big data analytics in strategic decision-making: A competitive advantage in the global market. Journal of Strategic Management, 12(1), 1-20.
Li, X., & Zhao, R. (2023). Enhancing business strategies through cloud computing: A study on data accessibility and customer targeting. Journal of Strategic Information Systems, 35(2), 234-248.
Maesaroh, S., Lubis, R. R., Husna, L. N., Widyaningsih, R., & Susilawati, R. (2022). Efektivitas Implementasi Manajemen Business Intelligence pada Industri 4.0. ADI Bisnis Digital Interdisiplin Jurnal, 3(2). https://doi.org/10.34306/abdi.v3i2.764
Mauldiyani, S., & Triadi, I. (2024). Analisis Peluang Dan Rintangan Integrasi Teknologi Canggih Dalam Menghadapi Ancaman Keamanan Laut Di Era Revolusi Digital. Causa: Jurnal Hukum dan Kewarganegaraan, 5(2), 51-60.
Patel, K., & Patel, N. (2022). Cost optimization and operational flexibility in cloud computing: Impacts on modern business operations. International Journal of Cloud Computing, 12(3), 175-193.
Rahayu, Y. S., & Naja, C. D. (2023). Penerapan Artificial Intelligence Sebagai Inovasi Di Era Disrupsi Dalam Mengurangi Resiko Lembaga Keuangan Mikro Syariah. WADIAH, 7(2), 117-142.
Ricky, R., Haryadi, D., & Leon, H. (2024). Pengaruh Implementasi Teknologi Blockchain Dalam Meningkatkan Transparansi Dan Keandalan Pelaporan Keuangan. Jurnal Review Pendidikan dan Pengajaran (JRPP), 7(2), 5679-5684.
Sun, J., & Zhang, T. (2022). Customer segmentation using big data analytics: Enhancing personalized marketing and customer loyalty. Journal of Marketing Analytics, 9(3), 184-198.
Wamba, S. F., Akter, S., & De Bourmont, M. (2020). Exploring the role of big data analytics in developing business strategies. International Journal of Business Analytics, 7(2), 1-15.
Zhang, Y., Chen, Q., & Li, M. (2020). Cross-departmental collaboration and operational flexibility in cloud computing: A comparative study. Journal of Cloud Computing and Innovation, 11(4), 90-105.
Zurman, Z., & Jenita, J. (2024). Analisis Pengaruh Sistem Informasi Akuntansi Terintegrasi Terhadap Efisiensi Proses Pelaporan Keuangan Perusahaan. Jurnal Review Pendidikan dan Pengajaran (JRPP), 7(2), 3
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Copyright (c) 2025 Edison Siregar (Translator); Arsidin Batubara, Fakhrurrozi, Imelda Mathauli Pardede (Author)
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