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The purpose of this paper is to present a multidimensional evaluation of brand equity performance incorporating dimensions adopted from the balance scorecard (BSC…
The purpose of this paper is to present a multidimensional evaluation of brand equity performance incorporating dimensions adopted from the balance scorecard (BSC) approach to business performance.
In this study, text mining is used for automatic extraction of valuable information from textual data such as the financial reports of firms. Instead of expert opinions, linguistic scales built upon outcomes of text mining are used as inputs for decision-making. The proposed model combines fuzzy DEMATEL (FDEMATEL), fuzzy ANP (FANP), fuzzy TOPSIS (FTOPSIS) and fuzzy VIKOR (FVIKOR) methods for weighting criteria and ranking alternatives.
Using data from five privatized firms in Turkey, the study’s findings demonstrate that the customer is the most important dimension of brand equity performance evaluation. Cash flow and brand loyalty are identified as the most important criteria in the measurement of brand equity performance.
Findings highlight the importance of firms taking action to increase consumer perceptions, attitudes and behaviors in the privatization processes. For this purpose, privatized firms need to understand the expectations of customers to increase customer satisfaction and loyalty and therefore improve brand equity.
The paper contributes to literature in several important ways. First, by adopting the BSC approach, it proposes a holistic and a multidimensional model for measuring brand equity performance. Second, the study offers a novel methodology using a hybrid multi-criteria decision-making model designed for the fuzzy environment. Third, the study uses the knowledge extraction tool of text mining in the fuzzy decision-making process. Finally, the study evaluates the brand equity performance of privatized firms in an emerging country context.
No carbon gas is released into the atmosphere in electricity production with wind energy. Therefore, this type of energy is significantly environmentally friendly. On the…
No carbon gas is released into the atmosphere in electricity production with wind energy. Therefore, this type of energy is significantly environmentally friendly. On the other hand, thanks to wind energy investments, a country can produce its own energy. This reduces the country’s foreign dependency on energy. Due to these positive aspects, increasing wind energy investments is very important for both the social and economic development of the country. The aim of this study is to define the most appropriate government support to improve wind energy investments. In this context, four different criteria are defined in this regard by making a detailed literature review. In the analysis process, fuzzy AHP methodology is considered. Within this framework, the comparative evaluations of three different experts are obtained. The findings indicate that providing loans with low-interest rate is the most appropriate government support for the wind energy investors. Additionally, it is also defined that tax deduction is another important issue for this purpose. However, it is also identified that appropriate location supply and purchase guarantee of the product produced have lower importance in comparison with the others. It is strongly recommended that governments should provide loans to the wind energy investors. This strategy can minimize the problem of high initial cost so that it can be much easier to attract the attention of the investors.
The aim of this study is to examine the effect of trade wars between countries on social factors. For this purpose, six different criteria are selected based on the comprehensive literature review. Additionally, fuzzy DEMATEL approach is considered to weight these criteria. The findings indicate that working life is the most significant criterion. However, free time and leisure and family are at the bottom of the list. Additionally, it is also defined that working life is the most influencing criterion. These results demonstrate that trade wars have the highest impact on the working life of the people. In other sayings, people’s fear of losing their jobs goes up in case of the trade wars. To solve this problem, companies should make official statements to their employees about the situation caused by the trade wars. By making clear explanations, uncertainties in this process can be minimized.
The aim of the study is to evaluate role of trade war between the United States and China on oil price. For this purpose, global oil price and US trade balance with China…
The aim of the study is to evaluate role of trade war between the United States and China on oil price. For this purpose, global oil price and US trade balance with China are selected as variables. In addition to this issue, monthly data of these variables for the periods between 1990 and 2019 are taken into consideration. In the evaluation process, both Engle–Granger cointegration and Toda–Yamamoto causality analysis are considered. The results of Engle–Granger cointegration analysis indicates that there is a relationship between trade war and oil prices. Nevertheless, according to the results of Toda–Yamamoto causality analysis, it is identified that trade war does not cause oil prices. While looking at these results, it is determined that trade war between the United States and China has an influence on the oil price changes. However, it is also understood that it is not the main factor of this volatility. Thus, it is recommended that in order to identify the main indicator of the oil price volatility, some different factors should also be taken into consideration.
Innovation means innovation. It enables companies to grow and compete with other companies. However, innovation studies also increase the welfare level of the countries…
Innovation means innovation. It enables companies to grow and compete with other companies. However, innovation studies also increase the welfare level of the countries. One of the most important topics in innovation studies is research and development (R&D). R&D enables companies to identify their current problems and lay the groundwork for new products and services. In this way, it contributes to the profit of the companies. The purpose of this study is to determine the effect of innovation on the share value of the company. In the study, the data are collected from Turkey during the period 1991–2019. However, the study was tested by Engle–Granger Cointegration analysis. As a result, it has been determined that there is a long-term relationship between R&D expenditures and the company’s share value. In this context, companies need to focus on R&D expenditures to increase their share values. For this issue, they need to increase their liquidity. In addition, the R&D departments in the company need to be increased. Companies need to prepare a separate budget for R&D studies.
This study analyzes the trends and patterns of strategic and innovative macroeconomic variables during recession or slowdown periods of 10 countries – Brazil, the United…
This study analyzes the trends and patterns of strategic and innovative macroeconomic variables during recession or slowdown periods of 10 countries – Brazil, the United States, UK, Germany, France, China, Japan, India, Saudi Arabia, and South Korea for the period 1980–2018, which includes major recessions like the 1982 debt crisis, 1991 economic crisis, 1997 Asian Financial crisis, and 2008 Sub-prime crisis. This study devised two models – Logistic Regression and a Range-based Custom-Made Recession-cum-Economy State indicator, based on Dynamic Ordinary Least Squares (DOLS) model parameters. Results for the logistic regression model show that most of the marginal effect values are positive for variables linked with globalization indicating that increase in adverse impact on such variables increases the probability of recession. The custom-made statistical index provides an individual country-wise range, along with a global range for the weighted total of the variables, the weights for which are derived from the DOLS model, which has a 59.66% accuracy in estimating the condition of an economy. The recent worldwide experience indicates that probability of recessions has decreased, and slowdowns have increased over a period. This is evident from the Cumulative Trend of Economic State analysis that indicates that the recession probabilities of countries have decreased 1990 and that of slowdown have become highly volatile.
This study investigates the causal relationship between financial innovation (FI) as proxied by the bank credits to private sector, as percentage of GDP and economic…
This study investigates the causal relationship between financial innovation (FI) as proxied by the bank credits to private sector, as percentage of GDP and economic growth in case of Azerbaijan using annual data covering the period from 1992 to 2018. For this purpose, the Toda–Yamamoto causality test with the framework of vector autoregressive (VAR) model is utilized to test causal relationship between the variables. The estimation results reveal that there is bidirectional causal relationship between FI and economic growth. The findings of the study suggest the researchers and policy makers to understand the role of FI in economic growth for macroeconomic stability and sustainable development purposes in Azerbaijan and other developing oil-rich countries.
The purpose of the study is to analyze the risk of violent conflict with the global conflict risk factors in the Middle East economies by using an integrated fuzzy…
The purpose of the study is to analyze the risk of violent conflict with the global conflict risk factors in the Middle East economies by using an integrated fuzzy decision approach. For this purpose, five different dimensions and 24 different criteria are defined by analyzing similar studies in the literature. The dataset is borrowed from the European Commission, and experts appointed for the linguistic evaluation of each dimension and criterion. Additionally, fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) methodology is used to weigh dimensions and criteria and Multi-objective Optimization on the basis of Ratio Analysis (MOORA) approach is considered to rank the countries with respect to the conflict risk. Social dimension was concluded to have the highest importance of the Global Conflict Risk Index. Moreover, Syria, Libya, and Saudi Arabia were identified as the countries that have high conflict risk. Because these countries have high risk of facing conflict in the future, it is strongly recommended that they should primarily focus on social factors in order to minimize this risk.