Peran Peran Teknologi dalam Optimalisasi Manajemen Ekonomi:
Studi Kasus dan Implementasi
DOI:
https://doi.org/10.31004/irje.v4i4.1196Keywords:
Teknologi Informasi, Manajemen Ekonomi, Optimalisasi, Sistem ManajemenAbstract
Dalam era digital yang terus berkembang, teknologi memainkan peran krusial dalam optimalisasi manajemen ekonomi di berbagai sektor. Artikel ini membahas bagaimana penerapan teknologi informasi dan komunikasi (TIK) dapat meningkatkan efisiensi, transparansi, dan akuntabilitas dalam pengelolaan sumber daya ekonomi. Melalui studi kasus di beberapa perusahaan dan instansi pemerintah, penelitian ini mengidentifikasi strategi implementasi teknologi yang berhasil dan tantangan yang dihadapi selama proses adaptasi. Hasil menunjukkan bahwa penggunaan sistem manajemen berbasis data dan analitik tidak hanya mempercepat pengambilan keputusan, tetapi juga meningkatkan partisipasi stakeholder dalam proses ekonomi. Selain itu, temuan ini menyoroti pentingnya pelatihan dan pengembangan sumber daya manusia untuk memaksimalkan manfaat teknologi dalam manajemen ekonomi. Artikel ini diharapkan dapat menjadi referensi bagi pengambil keputusan dan praktisi dalam merumuskan kebijakan yang lebih inovatif dan responsif terhadap dinamika ekonomi global.
References
Agrawal, A., Gans, J. S., & Goldfarb, A. (2021). The Economics of Artificial Intelligence: An Agenda. University of Chicago Press.
Al-Mashari, M., & Zairi, M. (2000). The impact of enterprise resource planning (ERP) systems on organizational performance: A review of the literature. International Journal of Management Reviews, 2(3), 215-230. https://doi.org/10.1111/1468-2370.00038
Alsharif, K., Alsharif, A., & Alsharif, A. (2018). The impact of ERP implementation on organizational performance in construction companies: A case study in Saudi Arabia. International Journal of Project Management, 36(4), 604-617. https://doi.org/10.1016/j.ijproman.2017.10.005.
Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company.
Chen, I. J., & Mooney, J. G. (2008). The impact of information technology on the management of organizations: A conceptual framework. International Journal of Information Management, 28(5), 394-405. https://doi.org/10.1016/j.ijinfomgt.2008.05.003
Choudhury, V., & Sabherwal, R. (2003). Designing and implementing a relational database management system: A case study of a small business. Journal of Information Systems, 17(2), 37-56. https://doi.org/10.2308/jis.2003.17.2.37
Dubey, R., Gunasekaran, A., Bryde, D. J., & Fynes, B. (2019). Big data analytics and firm performance: The role of organizational culture. International Journal of Production Economics, 211, 120-130. https://doi.org/10.1016/j.ijpe.2019.01.004
Gunasekaran, A., Subramanian, N., & Rahman, S. (2017). Big data and analytics in operations management: Research opportunities. International Journal of Production Economics, 176, 1-16. https://doi.org/10.1016/j.ijpe.2016.11.004.
Hitt, L. M., Wu, D. J., & Zhou, X. (2002). Investment in enterprise resource planning: Business impact and patterns of benefits realization. Journal of Management Information Systems, 19(1), 71-98. https://doi.org/10.1080/07421222.2002.11045716
Kauffman, R. J., & Lee, K. (2021). "The Role of Government in Technological Innovation: Evidence from the United States." Research Policy, 50(8), 104-121.
Khan, M. A., & Khan, S. A. (2020). "Digital Transformation and Economic Performance: A Review of the Evidence." Technological Forecasting and Social Change, 146, 100-110.
Khan, M. A., Khan, S. A., & Khan, M. F. (2020). "Impact of Digital Technology on the Performance of Small and Medium Enterprises: Evidence from Pakistan." Journal of Small Business Management, 58(4), 715-735.
Kotter, J. P., & Schlesinger, L. A. (2008). Choosing strategies for change. Harvard Business Review, 86(7-8), 130-139.
Porter, M. E., & Heppelmann, J. E. (2014). "How Smart, Connected Products Are Changing Competition." Harvard Business Review, 92(11), 64-88.
Raghupathi, W., & Raghupathi, V. (2014). "Big Data Analytics in Healthcare: Promise and Potential." Health Information Science and Systems, 2(1), 3.
Ranjan, J., & Pati, R. K. (2020). Role of big data analytics in decision-making: A systematic review. Journal of Business Research, 121, 195-207. https://doi.org/10.1016/j.jbusres.2020.07.027
Rojas, E., & Aramvareekul, P. (2021). The impact of information technology on project management performance: An empirical analysis. International Journal of Project Management, 39(4), 367-377. https://doi.org/10.1016/j.ijproman.2021.01.006
Waller, M. A., & Fawcett, S. E. (2013). Data science, predictive analytics, and big data: A revolution that will transform supply chain management. Journal of Business Logistics, 34(2), 77-84. https://doi.org/10.1111/jbl.12010.
Wang, Y., Kung, L. A., & Byrd, T. A. (2020). "Big Data in Healthcare: A Systematic Review of the Literature." Health Information Science and Systems, 8(1), 1-12.
Yang, J., Zhang, H., & Wu, H. (2022). Real-time data analytics in project management: Enhancing decision-making and innovation. Journal of Construction Engineering and Management, 148(3), 04022001. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002183.
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