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Yayın How do human resources practices affect the performance of the employees in Syria? International Committee of the Red Cross (ICRC)(IGI Global, 2024-03-05) Soykut Sarıca, Yeşim Pınar; Kekhia, BahjatThe purpose of this research is to analyses how HRM practices affect worker output in a high-pressure setting like the International Committee of the Red Cross (ICRC) in Syria. It contributes to literature by expanding the understanding of HRM. It provides useful insights and ideas for improving the efficiency of HRM procedures in businesses. This study highlighted the need for the ICRC to prioritize and invest in strong human resource management practices. Primary data was collected from ICRC employees through survey questionnaire. Findings show that HRM practices have a significant direct impact on the motivation and performance of ICRC employees. Meanwhile, psychological safety mediates the relationship between employee's motivation and employee's performance. On the other hand, employee's motivation partially mediates the relationship between HR Practices and employee's performance at ICRC.Yayın The impact of expectations on the co-integration relationship between the stock and REIT markets(Inderscience Publishers, 2022-06-29) Ümit, Erol; Yüksel, Aydın; Yüksel, Aslı; Öztürk, HakkıThis paper examines if expectations have a significant impact on the co-integration relationship between stock and real estate investment trust markets. We use two widely followed expectation indicators which are the US yield spread and the expected US stock market volatility (VIX) to test this hypothesis. The US yield spread is decomposed into two components which are the expected short-term interest rate (EF) and a variable term premium (TP) using Hamilton-Kim algorithm. A dataset covering ten developed markets is used. Using co-integration score analysis our findings indicate that expected US short-term interest rates and expected US stock market volatility have a statistically significant and positive impact on the global co-integrations of different countries. This effect is especially valid in the post-global financial crisis period. The expectation-based indicators EF and VIX, however, do not seem to have a significant impact on co-integration at regional and local levels.Yayın The transition of the pharmaceutical sector marketing activities: traditional marketing to digital marketing after the pandemic period and the results(IGI Global, 2022) Soykut Sarıca, Yeşim PınarThe aim of the study is to understand the change in marketing practices in the pharmaceutical industry in human health during the pandemic process and to reveal the projections for post-marketing strategies in Turkey. With analyzes such as the speed of the industry’s adaptation to change, the flexibility of digitalization, the suitability of the existing structure, and the number of employees, future projections have been analyzed on the basis of the evaluations of pharmaceutical sector managers. The environment of the sector that has developed as a result of digitalization has been examined with its positive and negative aspects in terms of employment and employee competencies. As a result, all stakeholders in the pharmaceutical industry are not fully prepared for this process, adapting more slowly than expected in terms of adaptation time. As a living process, the preferences and methods need continuous and regular updating, but it has revealed the fact that digitalization will be passed as a partial and complete final result in its forward-looking predictions.Yayın Performance of airlines: a comparative analysis for the COVID-19 era(IGI Global, 2022-04) Teker, Dilek; Teker, Suat; Kurnaz, Salim; Argın, EmrahThis chapter investigates the financial performance of airline companies and proposes a harmonic index to state a performance ranking for the COVID-19 era covering the years 2018, 2019, and 2020. All data required for this study were obtained from the Thomson-Reuters database. A total number of 111 airlines are reached and listed by total assets. The 20 biggest airlines by total assets in 2020 are chosen for this study. A harmonic index is constructed by using performance indicators for profitability, liquidity, and efficiency. Then, the biggest 20 airlines are ranked by the harmonic index values for the COVID-19 era. The results revealed that North America and European-based airlines performed very badly in 2020 compared to pre-COVID years while Far East-based airlines were able to manage the pandemic year much better.Yayın Electricity Demand Prediction: Case of Turkey(Springer, 2023) Polat, Ezgi; Aydın, Nezir; Işıklı, Erkan; Kayakutlu, Gülgün; Kayalıca, M. ÖzgürIt is critical to generate accurate power demand forecasts for balancing supply and demand, as well as for the efficient operation and management of electricity generation. Accurate forecasts can also help to prevent energy wastage, reduce operating costs, and minimize environmental impacts. Several approaches for this task have been proposed in the related literature, including machine learning, statistical modeling, stochastic/fuzzy/gray modeling, and metaheuristics. The present study initially discusses the importance of accurately predicting electricity demand, providing an extensive overview of linear functions, neural network architectures, and regression models concerning their relevant concepts and applications, and then furnishes a case study of monthly electricity demand prediction in Turkey using data from 1998 to 2017. Considering several independent variables (IVs), namely average temperature, average precipitation, consumer price index, total industrial production index, total import, and total export, the performance of an Artificial Neural Network (ANN) model was compared to that of a Multiple Linear Regression (MLR) model and an Autoregressive Integrated Moving Average with Exogenous Variables (ARIMAX) model. The former has been shown to outperform the other two in terms of MAPE and R2, indicating its capability to better explain the nonlinear relationship between the IVs and energy consumption. As a potential avenue for future research, to develop more comprehensive models that can generate reliable forecasts, the impacts of weather and climate change on energy demand should be evaluated in different countries and regions adopting hybrid models that combine different methodologies such as metaheuristics and machine learning.
