RESILIENT SYNERGY: СRAFTING INTEGRATED SMART BUSINESS MODELS FOR EU-UKRAINIAN RECOVERY

Kateryna Boichenko, Nataliia Shevchuk, Oksana Shvydka, Volodymyr Kuzomko
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Abstract

The aim of this article is to investigate the potential of integrated smart business models in fostering economic recovery, with a specific focus on the European Union (EU) and Ukraine. The research seeks to understand the impact of smart business models, driven by technology, entrepreneurship, and sustainable practices, on the resilience and growth of these regions, especially considering the challenges posed by the ongoing war in Ukraine. The research utilizes a comprehensive index of smart business models based on the entropy method. Modelling and forecasting were conducted using three scenarios involving Markov chains. The study allows us to understand which components of smart business models have the greatest impact on the recovery of the EU and Ukraine and how they can improve their metrics to stimulate innovation and digital transformation. The research identified a group of indicators related to sustainability and social responsibility as the most significant for the application of smart business models. It highlights how these innovative models, driven by cutting-edge technologies and sustainable practices, offer a path to economic rejuvenation and long-term stability. The article emphasizes the need for collaborative efforts between the EU and Ukraine, aligning policies and fostering cooperation. Ultimately, it advocates for innovation, collaboration, and resilience as the means to overcome adversity and forge a prosperous future for both regions.
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弹性协同:Сrafting欧盟-乌克兰复苏的综合智能商业模式
本文的目的是研究综合智能商业模式在促进经济复苏方面的潜力,并特别关注欧盟(EU)和乌克兰。该研究旨在了解由技术、创业和可持续实践驱动的智能商业模式对这些地区的恢复力和增长的影响,特别是考虑到乌克兰持续战争带来的挑战。本研究采用基于熵值法的智能商业模式综合指标。建模和预测使用三种场景涉及马尔可夫链。该研究使我们能够了解智能商业模式的哪些组成部分对欧盟和乌克兰的复苏影响最大,以及他们如何改进其指标以刺激创新和数字化转型。该研究确定了一组与可持续性和社会责任相关的指标,这些指标对智能商业模式的应用最为重要。它强调了这些由尖端技术和可持续实践驱动的创新模式如何为经济复苏和长期稳定提供了一条途径。文章强调欧盟和乌克兰之间需要合作努力,调整政策,促进合作。最终,它倡导创新、合作和韧性,以此作为克服逆境、为这两个地区打造繁荣未来的手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.60
自引率
20.00%
发文量
268
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