Authors:Gülçin BEKTUR Abstract: Although the construction sector is an indispensable sector in meeting human needs, it also has negative environmental and social effects. The construction industry has environmental impacts due to its significant share in consuming scarce resources and big amount of greenhouse gas emissions to the atmosphere. It is also a labor force-intensive industry. Due to the intensity of the labor force, ignoring social concerns cause a negative social image. Consequently, taking sustainability into consideration for construction projects is of great importance in terms of solutions to social and environmental problems. Due to limited resources, it is not possible to implement every project for companies. The most suitable projects are preferred among alternative projects. The problem of project portfolio selection (PPS) is an important decision problem that companies frequently encounter. Many factors should be taken into consideration for selecting projects. In many studies in the literature, the problem of PPS is addressed only by considering economic criteria. In this study, the problem of PPS is addressed with sustainability consideration. Considering sustainability, environmental and social factors have also been taken into account besides economic factors. A hybrid fuzzy multi-criteria decision-making (FMCDM) approach has been used due to uncertainties in the decision process. In the hybrid approach, the methods of Fuzzy complex proportional assessment (F-COPRAS) and Fuzzy step-wise weight assessment ratio analysis (F-SWARA) are used together. An application is conducted for a construction company. PubDate: Wed, 01 Dec 2021 00:00:00 +030
Authors:Mehmet ÇINAR; Atilla HEPKORUCU Abstract: The unit root test proposed by Ranjbar et al. (2018) was examined for an alternative of stationary asymmetric exponential smooth transition autoregressive (AESTAR) under structural breaks. The situation that stands out as a deficiency in the mentioned study was that the model that does not includes the zero-mean structure not taken into account. On the contrary, the features of the zero-mean model should also had been explained. Because time-varying deterministic terms were removed from the time series for describing the structural breaks. The fact that no deterministic terms were formed due to the transformation during the redefinition of the difference equation indicates that the obtained structure should be evaluated in the model structure with zero-mean. This test methodology developed as an alternative is the interpretation of Sollis (2009) model under Fourier series that can be called Fourier-Sollis test for zero-mean model condition. The critical values in terms of finite samples were calculated and the size and power properties were evaluated. The power properties of the Fourier-Sollis and Fourier-KSS tests were compared under the assumption of symmetric/asymmetric reversions. Under the asymmetric reversions, Fourier-Sollis test was found to be more successful. However, under the symmetric assumption, these tests can be used together. PubDate: Wed, 01 Dec 2021 00:00:00 +030
Authors:Gülçin POLAT Abstract: The Incoterms® rules, which have been developed by the International Chamber of Commerce (ICC) to facilitate trade by regulating the responsibilities of the buyer and seller regarding transportation, delivery, and insurance, are widely used. These rules were established initially by the ICC in 1936, and they were revised several times in line with the changing international commercial practice and needs. The last version of the rules entered into force on January 1, 2020, as Incoterms® 2020. Studies on foreign trade companies indicate that these companies might have difficulties choosing the right Incoterms® rules due to the lack of knowledge and understanding of the rules, and they might encounter problems arising from choosing inappropriate rules. The purpose of this study is to deepen the knowledge about these rules, which are integral components of international sales contracts, to analyze the responsibilities and risks created by the selected rules for sellers and buyers, to provide a guideline for the parties on the selection of the most appropriate rule and management of the risks. PubDate: Wed, 01 Dec 2021 00:00:00 +030
Authors:Ejder AYÇİN; Hakan AŞAN Abstract: Nowadays, with the emergence of large databases, businesses have become able to store more data, both internal and external sources. It is possible to transform these valuable data sources into information correctly and successfully with business intelligence applications. Enterprise resource planning software owned by businesses offers some reporting features in their own internal structures. However, businesses need business intelligence applications due to both the combination of different resources and the fact that they are developed only for a specific purpose. Business intelligence applications use different instruments in the transformation of data into valuable information. Therefore, business intelligence applications have many different features. From the point of view of businesses, the existence of many different features has made the choice of business intelligence application difficult and complex. This situation constituted the starting point of the current study. First of all, three main criteria were taken into consideration at the stage of business intelligence application selection, and twenty-one sub-criteria related to these main criteria were determined. In addition, an application was carried out in which the weights of these criteria were calculated with FUCOM (Full Consistency Method), a subjective weighting method. According to the application results, it has been determined that the most important criteria are usage on different platforms, customization cost, and user interface interaction, respectively. PubDate: Wed, 01 Dec 2021 00:00:00 +030
Authors:Saadet TULUM Abstract: The construction sector is of great importance for the Turkish economy because of its employment and its connection to many business sectors. For this reason, the construction sector is chosen as the subject of the study. This study aims to measure the financial performances of 9 enterprises traded in the construction and public works sector in Borsa Istanbul (BIST) with the support of financial ratios. For this purpose, the financial performances of 9 enterprises between 2015-2019 are measured by TOPSIS (a technique for Order Preference by Similarity to Ideal Solution). First, eight ratios determined from liquidity, leverage, activity, and profitability were calculated individually for each business. Then, financial performance rankings of 9 enterprises operating in the construction and public works sector are made, and it is found that the performance rankings of the enterprises are similar over the years. PubDate: Wed, 01 Dec 2021 00:00:00 +030
Authors:Muhammed Hadin ÖNER; Ersin OKUMUŞ Abstract: This paper investigates the banking sector’s capital adequacy and liquidity ratios that potential shocks might influence following the COVID-19 pandemic. The data set was built using 2019 BRSA financial data and bank rates. The study is a two-stage investigation examining the resilience of banks’ capital adequacy and liquidity ratios against various shocks. The first stage is a stress test that evaluates the changes in the capital adequacy ratio for banks with specific nonperforming loan rates on issued loans; a comparison among bank types has also been made in terms of their resilience in response to shocks. The second stage examines changes in liquidity ratios concerning bank types in the event of a loss at the set rates in the funds collected. Based on the findings, the banking sector is resistant to bad scenarios in the economy. Both stages of the study have determined domestic-foreign deposit banks to have the strongest position in terms of capital and liquidity adequacy against probable shocks following the COVID-19 pandemic, whereas state-owned deposit banks have the weakest. PubDate: Wed, 01 Dec 2021 00:00:00 +030
Authors:Melda Güliz ATEŞ; Burcu ÖZCAN, Yıldız ŞAHİN Abstract: The importance of women entrepreneurship increases day by day as it has a significant contribution to economic development, job creation, and innovation. Thus, policymakers put more emphasis on the criticality of standardized data, comparative studies, and measurement methods for women's entrepreneurship because these are essential to developing public policy and incentive/support systems. Within the scope of the study, women entrepreneurship performance of OECD countries was evaluated via Data Envelopment Analysis (DEA) and a comparative analysis presented. Input-oriented Charnes Cooper Rhodes (CCR) model was used and the established model was solved using EMS (Efficiency Measurement System). Results show that 11 countries (Denmark, Finland, France, Greece, Lithuania, Luxembourg, Netherlands, Norway, Portugal, Sweden, Switzerland) are efficient countries with their women entrepreneurship performance and as an output of the analysis the inefficient countries and their references are shared. Turkey took 29th place among 30 countries in the means of women entrepreneurship performance and Turkey, France, and Portugal should be taken as references for the improvement activities. PubDate: Wed, 01 Dec 2021 00:00:00 +030
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