Penerapan Manajemen Berbasis Data Untuk Pengambilan Keputusan Yang Lebih Efektif : Dalam Suatu Perspektif
DOI:
https://doi.org/10.37385/msej.v5i2.6482Keywords:
Manajemen Berbasis Data, Pengambilan Keputusan.Abstract
Tujuan artikel ini ialah dengan pendekatan kualitatif, artikel ini berupaya menggali perspektif yang lebih luas dan detail tentang bagaimana perubahan teknologi, globalisasi, dan dinamika tenaga kerja mempengaruhi operasional dan strategi organisasi. Metode Penelitian yang digunakan ialah penelitian kualitatif dengan pendekatan tinjauan pustaka, sumber tinjauan pustaka berasal dari beberapa jurnal internasional dan nasional yang berkaitan dengan topik yang ada dalam artikel ini. Analisis yang digunakan merupakan analisis dengan pemberian perspektif dari hasil penelitian artikel yang sesuai dan dipilih setelah itu peneliti memberikan perspektif sebagai hasil penelitian. Keterkaitan antara manajemen berbasis data dengan pengambilan keputusan secara perspektif peneliti bahwa penggunaan data yang tepat dapat secara signifikan meningkatkan kualitas, akurasi, dan efisiensi dalam proses pengambilan keputusan di berbagai sektor. Manajemen berbasis data memungkinkan organisasi untuk mengumpulkan, menganalisis, dan menginterpretasikan data dalam jumlah besar, yang kemudian digunakan sebagai dasar untuk membuat keputusan yang lebih terinformasi dan strategis.
References
Agrawal, R. et al. (2021) ‘A systematic and network-based analysis of data-driven quality management in supply chains and proposed future research directions’, The TQM Journal, ahead-of-print. Available at: https://api.semanticscholar.org/CorpusID:236712018.
Bibri, S.E. and Bibri, S.E. (2018) ‘Data science for urban sustainability: Data mining and data-analytic thinking in the next wave of city analytics’, Smart Sustainable Cities of the Future: The Untapped Potential of Big Data Analytics and Context–Aware Computing for Advancing Sustainability, pp. 189–246.
Bokolo, A.J. (2023) ‘Data driven approaches for smart city planning and design: a case scenario on urban data management’, Digital Policy, Regulation and Governance [Preprint]. Available at: https://api.semanticscholar.org/CorpusID:258199558.
Bosch, J. (2023) ‘Software Product Management: from opinions to data-driven experimentation’, in Software Product Management. Available at: https://api.semanticscholar.org/CorpusID:260707143.
Detwal, P.K. et al. (2023) ‘Data–Driven Techniques in Logistics & Supply Chain Management: A Literature Review’, 2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON), pp. 1–6. Available at: https://api.semanticscholar.org/CorpusID:258582921.
Diaz, A. et al. (2021) ‘Sustainable product development in a circular economy: Implications for products, actors, decision-making support and lifecycle information management’, Sustainable Production and Consumption, 26, pp. 1031–1045.
Kazu, ?.Y. and Kuvvetli, M. (2023) ‘Navigating the Challenges of Education Management Best Practices for Improving Student Outcomes’, European Journal of Science and Technology [Preprint]. Available at: https://api.semanticscholar.org/CorpusID:257749248.
Kriegova, E. et al. (2021) ‘A theoretical model of health management using data-driven decision-making: the future of precision medicine and health’, Journal of translational medicine, 19, pp. 1–12.
Lane, P.J. et al. (2021) ‘Creating a healthcare variant CYNEFIN framework to improve leadership and urgent decision-making in times of crisis’, Leadership in Health Services, 34(4), pp. 454–461.
Lee, M.K. et al. (2015) ‘Working with Machines: The Impact of Algorithmic and Data-Driven Management on Human Workers’, Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems [Preprint]. Available at: https://api.semanticscholar.org/CorpusID:5971844.
Li, X. et al. (2022) ‘Sustainable decision-making for contaminated site risk management: A decision tree model using machine learning algorithms’, Journal of Cleaner Production, 371, p. 133612.
Liao, H. et al. (2021) ‘Non-cooperative behavior management in group decision making by a conflict resolution process and its implementation for pharmaceutical supplier selection’, Information Sciences, 567, pp. 131–145.
Litvaj, I. et al. (2022) ‘Decision-making procedures and their relation to knowledge management and quality management’, Sustainability, 14(1), p. 572.
Liu, J. et al. (2019) ‘A Data-driven Analysis of Employee Promotion: The Role of the Position of Organization’, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), pp. 4056–4062. Available at: https://api.semanticscholar.org/CorpusID:208631906.
Luthans, F., Luthans, B.C. and Luthans, K.W. (2021) Organizational Behavior: An Evidence-Based Approach Fourteenth Edition. IAP.
Maddah, N. and Roghanian, E. (2021) ‘Data-driven performance management of business units using process mining and DEA: case study of an Iranian chain store’, International Journal of Productivity and Performance Management [Preprint]. Available at: https://api.semanticscholar.org/CorpusID:237731635.
Morgan, T., Murphy, D.R. and Horwitz, B. (2017) ‘Police Reform Through Data-Driven Management’, Police Quarterly, 20, pp. 275–294. Available at: https://api.semanticscholar.org/CorpusID:157763522.
Nguyen, D.T. et al. (2021) ‘Data-driven operations and supply chain management: established research clusters from 2000 to early 2020’, International Journal of Production Research, 60, pp. 5407–5431. Available at: https://api.semanticscholar.org/CorpusID:235251475.
Palafox-Alcantar, P.G., Hunt, D.V.L. and Rogers, C.D.F. (2020) ‘The complementary use of game theory for the circular economy: A review of waste management decision-making methods in civil engineering’, Waste Management, 102, pp. 598–612.
Pugna, I.B. et al. (2022) ‘Management Perspectives towards the Data-Driven Organization in the Energy Sector’, Energies [Preprint]. Available at: https://api.semanticscholar.org/CorpusID:251509884.
Rejikumar, G., Aswathy Asokan, A. and Sreedharan, V.R. (2020) ‘Impact of data-driven decision-making in Lean Six Sigma: an empirical analysis’, Total Quality Management & Business Excellence, 31(3–4), pp. 279–296.
Robbins, S.P. and Judge, A.T.A. (2019) ‘Organizational Behavior. 18th Editi. New York City, NY’. USA: Pearson.
Rodgers, W. et al. (2023) ‘An artificial intelligence algorithmic approach to ethical decision-making in human resource management processes’, Human resource management review, 33(1), p. 100925.
Roeder, J., Palmer, M. and Muntermann, J. (2022) ‘Data-driven decision-making in credit risk management: The information value of analyst reports’, Decision Support Systems, 158, p. 113770.
Siano, A. et al. (2013) ‘Corporate communication management: A framework based on decision-making with reference to communication resources’, Journal of Marketing Communications, 19, pp. 151–167. Available at: https://api.semanticscholar.org/CorpusID:168122813.
Situmorang, I.R. and Kusnarli (2020) ‘ANALISIS PENGARUH PROSEDUR KREDIT DAN KUALITAS PELAYANAN TERHADAP KEPUTUSAN PENGAMBILAN KREDIT DI CV. SAHABAT SOLUTION’, in. Available at: https://api.semanticscholar.org/CorpusID:226085205.
Souza, M.L.H. et al. (2020) ‘A survey on decision-making based on system reliability in the context of Industry 4.0’, Journal of Manufacturing Systems, 56, pp. 133–156.
Sulich, A., So?oducho-Pelc, L. and Ferasso, M. (2021) ‘Management styles and decision-making: Pro-ecological strategy approach’, Sustainability, 13(4), p. 1604.
Torkayesh, A.E. et al. (2022) ‘Integrating life cycle assessment and multi criteria decision making for sustainable waste management: key issues and recommendations for future studies’, Renewable and Sustainable Energy Reviews, 168, p. 112819.
Wang, Z. et al. (2022) ‘Data?Driven Materials Innovation and Applications’, Advanced Materials, 34(36), p. 2104113.
Yalcin, A.S., Kilic, H.S. and Delen, D. (2022) ‘The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review’, Technological forecasting and social change, 174, p. 121193.
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