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Leimbach, M., Kriegler, E., Roming, N., & Schwanitz, J. (2017). Future growth patterns of world regions– A GDP scenario approach. Global Environmental Change, 42, 215-225.Search in Google Scholar
Garnitz, J., Lehmann, R., & Wohlrabe, K. (2019). Forecasting GDP all over the world using leading indicators based on comprehensive survey data. Applied Economics, 51(54), 5802-5816.Search in Google Scholar
Dwiputri, I. N., Kusufi, M. S., & Allo, A. G. (2019). Projections of regional macroeconomic conditions using the univariate forecasting method. Economics Development Analysis Journal, 8(3), 329-342.Search in Google Scholar
Kurpayanidi, K. I. (2020). ON THE PROBLEM OF MACROECONOMIC ANALYSIS AND FORECASTING OF THE ECONOMY. Theoretical & Applied Science, (3), 1-6.Search in Google Scholar
Jena, P. R., Majhi, R., Kalli, R., Managi, S., & Majhi, B. (2021). Impact of COVID-19 on GDP of major economies: Application of the artificial neural network forecaster. Economic Analysis and Policy, 69, 324-339.Search in Google Scholar
Elshendy, M., & Fronzetti Colladon, A. (2017). Big data analysis of economic news: Hints to forecast macroeconomic indicators. International Journal of Engineering Business Management, 9, 1847979017720040.Search in Google Scholar
Jung, J. K., Patnam, M., & Ter-Martirosyan, A. (2018). An algorithmic crystal ball: Forecasts-based on machine learning. International Monetary Fund.Search in Google Scholar
Zhukova, Y., & Sobolieva-Tereshchenko, O. (2021). Modeling macroeconomic indicators in unstable economies. Journal of International Studies (2071-8330), 14(2).Search in Google Scholar
Milićević, S., Kostić, V., & Stošković, M. (2024). INNOVATIVE MACROMANAGEMENT IN THE KNOWLEDGE ECONOMY. Oditor, 10(1), 57-84.Search in Google Scholar
Zehri, C. (2023). Macro‐management policies: A supporting role to company’capital expenditure. International Journal of Finance & Economics, 28(4), 3846-3864.Search in Google Scholar
Van Dinh, D., & Ha, N. T. (2023). The tax policy and macro management: evidence in Vietnam. Финансы: теория и практика, 27(5), 150-159.Search in Google Scholar
Fuertes, G., Alfaro, M., Vargas, M., Gutierrez, S., Ternero, R., & Sabattin, J. (2020). Conceptual framework for the strategic management: a literature review—descriptive. Journal of engineering, 2020(1), 6253013.Search in Google Scholar
Coccia, M. (2020). Critical decisions in crisis management: rational strategies of decision making. Journal of Economics Library, 7(2), 81-96.Search in Google Scholar
Elbanna, S., Kapoutsis, I., & Mellahi, K. (2017). Creativity and propitiousness in strategic decision making: The role of positive politics and macro-economic uncertainty. Management Decision, 55(10), 2218-2236.Search in Google Scholar
Abubakar, A. M., Elrehail, H., Alatailat, M. A., & Elçi, A. (2019). Knowledge management, decision-making style and organizational performance. Journal of Innovation & Knowledge, 4(2), 104-114.Search in Google Scholar
Smalter Hall, A., & Cook, T. R. (2017). Macroeconomic indicator forecasting with deep neural networks. Federal Reserve Bank of Kansas City Working Paper, (17-11).Search in Google Scholar
Wang, X., Li, C., Yi, C., Xu, X., Wang, J., & Zhang, Y. (2022). EcoForecast: An interpretable data-driven approach for short-term macroeconomic forecasting using N-BEATS neural network. Engineering Applications of Artificial Intelligence, 114, 105072.Search in Google Scholar
Kuang, Y., Singh, R., Singh, S., & Singh, S. P. (2017). A novel macroeconomic forecasting model based on revised multimedia assisted BP neural network model and ant Colony algorithm. Multimedia Tools and Applications, 76, 18749-18770.Search in Google Scholar
Goulet Coulombe, P., Leroux, M., Stevanovic, D., & Surprenant, S. (2022). How is machine learning useful for macroeconomic forecasting?. Journal of Applied Econometrics, 37(5), 920-964.Search in Google Scholar
Hall, A. S. (2018). Machine learning approaches to macroeconomic forecasting. The Federal Reserve Bank of Kansas City Economic Review, 103(63), 2.Search in Google Scholar
Punt, A. E. (2017). Strategic management decision-making in a complex world: quantifying, understanding, and using trade-offs. ICES Journal of Marine Science, 74(2), 499-510.Search in Google Scholar
Özemre, M., & Kabadurmus, O. (2020). A big data analytics based methodology for strategic decision making. Journal of Enterprise Information Management, 33(6), 1467-1490.Search in Google Scholar
Simons, R. (2019). The role of management control systems in creating competitive advantage: new perspectives. In Management Control Theory (pp. 173-194). Routledge.Search in Google Scholar
Bryson, J. M., Edwards, L. H., & Van Slyke, D. M. (2018). Getting strategic about strategic planning research. Public management review, 20(3), 317-339.Search in Google Scholar
David, F. R., & David, F. R. (2017). Strategic management: concepts and cases: A competitive advantage approach. Pearson.Search in Google Scholar
Chen Shijun,Han Xiaoli,Shen Yunbin & Ye Chong. (2021). Application of Improved LSTM Algorithm in Macroeconomic Forecasting. Computational Intelligence and Neuroscience4471044-4471044.Search in Google Scholar
Yunying Huang,Wenlin Gui,Yixin Jiang & Fengyi Zhu. (2022). Types of systemic risk and macroeconomic forecast: Evidence from China. Electronic Research Archive(12),4469-4492.Search in Google Scholar
Cheng Fangze & Fu Zitian. (2022). Macroeconomic Forecasting Based on Mixed Frequency Vector Autoregression and Neural Network Models. Wireless Communications and Mobile Computing.Search in Google Scholar
Park Sunjin. (2022). Heterogeneous beliefs in macroeconomic growth prospects and the carry risk premium. Journal of Banking and Finance.Search in Google Scholar