Titlebook: Business Development via AI and Digitalization; Volume 2 Allam Hamdan,Arezou Harraf Book 2024 The Editor(s) (if applicable) and The Author(

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Applying International Valuation Standards to Valuate Non-current Assets and Their Impact on the Finimportance of international valuation standards as an essential tool for achieving consistency and objectivity in preparing financial reports by delving into the origins of these standards, their concept, their importance, and how to valuate non-current assets. After the research, it was confirmed t

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Survival Rate of Student Startups in the CleanTech in the UN Sustainable Development Goals Agenda projects were determined. The findings make a significant contribution to the field of student entrepreneurship research in CleanTech. They not only cover a relevant topic, but also provide valuable practical recommendations that can be used by student entrepreneurship stakeholders.

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Strategic Forecasting in Energy Management: Integrating ANN and Exponential Smoothing Techniques forn-square error (RMSE) of 5.06 vs 6.86 for Exponential Smoothing, a MAPE of 0.92% vs 5.71%, and an R-value of 0.93, which is superior. These findings demonstrate the promise of ANNs in improving forecast accuracy by accounting for the complicated, nonlinear interdependencies inherent in data on elect

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The Role of Business in Ensuring Sustainable Development of Ukraine’s Economyhe creation of public corporate reporting. In modern conditions, sustainable development and corporate social responsibility are necessary components of economic activity and strategic development of companies. The idea of implementing the Sustainable Development Goals in business replaces establish

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Jorge J. Gomez-Sanz,álvaro Ortego,Juan Pavónividuals and small businesses from accessing traditional finance. Based on the survey responses, it appears that FinTech has the potential to bring about positive change in various aspects of the GCC region‘s economy, such as corporate governance, sustainability, ESG investment strategies, HR data a

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Jorge J. Gomez-Sanz,álvaro Ortego,Juan Pavónemory models), then multiple threshold-based models were employed to narrow the deep learning and false prediction range (a big data analysis tool). Modules for extracting flow pattern shapes, predicting such shapes with an RNN-LSTM, and establishing thresholds make up the created model. After testi

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