Titlebook: Global Economic Challenges; 6th International Co Nesrin ?zata?,Korhan K. G?kmeno?lu,Bezhan Rustamov Conference proceedings 2023 The Editor(

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Exploring the Impact of Corporate Social Responsibility on Leverage of Listed Companies in Oman,SR disclosure impact on leverage in Oman, a country where CSR disclosure is mandatory under corporate governance law and the capital market is still not well developed. This paper’s findings provide evidence that CSR disclosure by companies is useful to the board of directors and managers, as it con

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ABHOR

A Comparative Analytical Study for Renewable Energy Sources and Its Future in the Arab World,of the Arab World is one of the areas of receiving great solar energy. The countries of the Arab Gulf have the highest amount of radiation in the world. Solar radiation in the Sultanate of Oman is 3–4 times that of Europe, which would raise the efficiency of the solar power station by more than 25%

玷污

Crafting Embeddedness in the Hospitality Industry,ties (Wrzesniewksi A, Dutton JE, Acad Manage Rev 26(2):179–201, 2001). In practice, employees may practice job crafting to enhance their job performances to lessen insufficiency with tasks and can ease the complexity of jobs. The focal point of existing job crafting literature has been employees’ vi

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Interaction Between the Prices of Crude Oil, Natural Gas, and Gold with Conventional and Sustainabiulating their hedging and diversification strategies. In addition, obtained results could be useful for policymakers to design policies in line with the objectives of international environmental agreements.

Glycogen

Does the IFRS16 Matter in Determining the Profitability of Airline Industries?,ility was revealed. The results indicate that in 2019 there was a decrease in the profitability of the firms. However, it is suggested that such numbers were obtained due to global macroeconomic factors such as COVID-19 pandemics or severe oil price fluctuations that influence the world economy and

Agronomy

Predicting Cryptocurrency Price Returns by Using Deep Learning Model of Technical Analysis Indicatoork to investigate the prediction power of the lags of technical analysis indicators as the inputs to forecast the price returns of the three cryptocurrencies; Bitcoin(BTC), Ethereum (ETH), and Ripple (XRP) that have the highest market capitalization. The results illustrate that the proposed method

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