intersectional balance; intermediate consumption; point forecast; world economy; input-output tables

Abakah, E. J. A., Adeabah, D., Tiwari, A. K., et al. (2023). Effect of Russia–Ukraine war sentiment on blockchain and FinTech stocks. International Review of Financial Analysis, 90, 102948. https://doi.org/10.1016/j.irfa.2023.102948

Aganbegyan, A. G., Bagrinovsky, K. A., Granberg, A. G. (1972). System of national economic planning models (Slovenian). M.: Mysl'.

Aganbegyan, A. G., Granberg, A. G. (1968). Economic and mathematical analysis of the USSR's intergovernmental balance sheet (Slovenian). M.: Mysl'.

Almon, C. (1998). How to Make a Product-to-Product Input-Output Table. Available online: https://www.iioa.org/conferences/12th/pdf/purity.pdf (accessed on 30 May 2024).

Alshater, M. M., Polat, O., El Khoury, R., et al. (2022). Dynamic connectedness among regional FinTech indices in times of turbulences. Applied Economics Letters, 31(7), 670–675. https://doi.org/10.1080/13504851.2022.2141443

Ammar, O., & Chereau, P. (2018). Business model innovation from the strategic posture perspective. European Business Review, 30(1), 38–65. https://doi.org/10.1108/ebr-09-2016-0119

An, J., & Mikhaylov, A. (2020). Russian energy projects in South Africa. Journal of Energy in Southern Africa, 31(3), 58–64. https://doi.org/10.17159/2413-3051/2020/v31i3a7809

An, J., Mikhaylov, A., Jung, S.-U. (2020). The Strategy of South Korea in the Global Oil Market. Energies, 13(10), 2491, https://doi.org/10.3390/en13102491

Clark, C. M., & Harrison, C. (2018). Leadership: the complexities and state of the field. European Business Review, 30(5), 514–528. https://doi.org/10.1108/ebr-07-2017-0139

Dorfman, R. (1954). The Nature and Significance of Input-Output. The Review of Economics and Statistics, 36(2), 121. https://doi.org/10.2307/1924664

Ghosh, P. P., Ghose, A., Chakraborty, D. (2011). A critical review of the literature on integrated macroeconometric & input-output models. In: Proceedings of 19th International Input-Output Conference.

Hasan, F., Al-Okaily, M., Choudhury, T., et al. (2023). A comparative analysis between FinTech and traditional stock markets: using Russia and Ukraine war data. Electronic Commerce Research, 24(1), 629–654. https://doi.org/10.1007/s10660-023-09734-0

He, Z., Huang, J., & Zhou, J. (2023). Open banking: Credit market competition when borrowers own the data. Journal of financial economics, 147(2), 449–474. https://www.sciencedirect.com/science/article/pii/S0304405X22002471

Kalinin, A. M., Koroteev, S. S., Krupin, A. A., et al. (2021). Technological Import Dependence of the Russian Economy: An Assessment Using Input–Output Tables. Studies on Russian Economic Development, 32(1), 52–58. https://doi.org/10.1134/s107570072101007x

Khan, M. A., Rathore, K., Zubair, S. S., et al. (2023). Encouraging SMEs performance through entrepreneurial intentions, competencies, and leadership: serial mediation model. European Business Review, 36(2), 271–289. https://doi.org/10.1108/ebr-04-2023-0119

Klein, L. R. (1952). On the Interpretation of Professor Leontief’s System. The Review of Economic Studies, 20(2), 131. https://doi.org/10.2307/2295846

Leontief, W. W. (1936). Quantitative Input and Output Relations in the Economic Systems of the United States. The Review of Economics and Statistics, 18(3), 105. https://doi.org/10.2307/1927837

Long, G., Tan, Y., Jiang, J., & Zhang, C. (2020). Federated learning for open banking. In Federated Learning: Privacy and Incentive (pp. 240–254). Cham: Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-030-63076-8_17

Mikhaylov, A. (2023). Understanding the risks associated with wallets, depository services, trading, lending, and borrowing in the crypto space. Journal of Infrastructure, Policy and Development, 7(2), 2223. https://doi.org/10.24294/jipd.v7i2.2223

Mikhaylov, A., Dinçer, H., & Yüksel, S. (2023). Analysis of financial development and open innovation oriented fintech potential for emerging economies using an integrated decision-making approach of MF-X-DMA and golden cut bipolar q-ROFSs. Financial Innovation, 9(1). https://doi.org/10.1186/s40854-022-00399-6

Mikhaylov, A., Dinçer, H., Yüksel, S., et al. (2023). Bitcoin mempool growth and trading volumes: Integrated approach based on QROF Multi-SWARA and aggregation operators. Journal of Innovation & Knowledge, 8(3), 100378. https://doi.org/10.1016/j.jik.2023.100378

Moiseev, N. A. (2019). Improving the accuracy of macroeconomic time series forecast by incorporating functional and correlational dependencies between them. Applied Econometrics, 53(1), 119–137.

Naeem, M. A., Hamouda, F., Karim, S., et al. (2023). Return and volatility spillovers among global assets: Comparing health crisis with geopolitical crisis. International Review of Economics & Finance, 87, 557–575. https://doi.org/10.1016/j.iref.2023.06.008

Navratil, M., & Kolkova, A. (2019). Decomposition and Forecasting Time Series in the Business Economy Using Prophet Forecasting Model. Central European Business Review, 8(4), 26–39. https://doi.org/10.18267/j.cebr.221

Olowe, A., Olorundare, J. K., & Phillips, T. (2021). Using open APIs to drive financial inclusion via credit scoring built on telecoms data. International Journal on Data Science and Technology, 7(1), 17–22. https://www.researchgate.net/profile/Engr-James-Olorundare/publication/353442215_Using_Open_APIs_To_Drive_Financial_Inclusion_Via_Credit_Scoring_Built_on_Telecoms_Data/links/60fcb30c0c2bfa282afc5daa/Using-Open-APIs-To-Drive-Financial-Inclusion-Via-Credit-Scoring-Built-on-Telecoms-Data.pdf

Rastogi, S., Goel, A., & Doifode, A. (2020). Open API in Indian banking and economic development of the poor: opportunities and challenges. International Journal of Electronic Banking, 2(4), 321–348. https://www.inderscienceonline.com/doi/abs/10.1504/IJEBANK.2020.114772

Santos, R. dos, Bueno, E. V., Kato, H. T., & Corrêa, R. O. (2018). Design management as dynamic capabilities: a historiographical analysis. European Business Review, 30(6), 707–719. https://doi.org/10.1108/ebr-11-2016-0147

Šebestová, J., Krejčí, P., & Šiška, P. (2018). “Be or Not To Be”: A Dilemma of Business Policy Support on a Regional Level. Central European Business Review, 7(1), 3–13. https://doi.org/10.18267/j.cebr.192

Shaltoni, A. M., West, D., Alnawas, I., et al. (2018). Electronic marketing orientation in the Small and Medium-sized Enterprises context. European Business Review, 30(3), 272–284. https://doi.org/10.1108/ebr-02-2017-0034

Tipu, S. A. A. (2018). What have we learned? Themes from the literature on organizational culture in family firms. European Business Review, 30(6), 660–675. https://doi.org/10.1108/ebr-02-2017-0042

Toscano, R., Price, G., & Scheepers, C. (2018). The impact of CEO arrogance on top management team attitudes. European Business Review, 30(6), 630–644. https://doi.org/10.1108/ebr-12-2016-0156

Wirtz, J., Kunz, W., & Paluch, S. (2021). The service revolution, intelligent automation and service robots. European Business Review, 29(5), 909.

World Input-Output Database. (2016). Available online: https://www.rug.nl/ggdc/valuechain/wiod/wiod-2016-release (accessed on 9 November 2023).

Zachariadis, M., & Ozcan, P. (2022). Open Banking: How Platforms and the API Economy Change Competition in Financial Services. https://watermark.silverchair.com/c004100_9780262369534.pdf

Żyminkowska, K. (2019). Hedonic and Utilitarian Drivers of Customer Engagement. Central European Business Review, 7(4), 15–33. https://doi.org/10.18267/j.cebr.204