Odabir konkurentskih strategija u europskom bankarskom sektoru primjenom pristupa hibridnog odlučivanja

Strategic planning is an eJective tool for long-term planning and utilized by organizations and industries to achieve competitive advantage. Addressing difculties that the European banking sector struggled during and after the global financial crisis (GFC), the purpose of this paper is to raise important questions about the sustainability of the sector and oJers competitive strategy formulations for European policy makers. Empirical findings are accomplished by applying a three phase analysis of SWOT, an integrated model of DEMATEL-ANP (DANP), and fuzzy TOPSIS. Empirical findings from the SWOT analysis suggest a total of twelve factors, which are then incorporated to formulate four strategies. The DANP results illustrate that opportunities dimension has the highest impact and strengths has the lowest among others. The fuzzy TOPSIS results demonstrate that “the European Banking Union (EBU) is expected to remove divergence in the Euro area banking sector” is the most important strategy, whilst “the non-risk based leverage ratio (LR) requirement by Basel III” has the weakest importance among the strategy preferences.Strateško planiranje je učinkovit alat za dugoročno planiranje koje primjenjuju organizacije i industrije za postizanje konkurentske prednosti. S obzirom na poteškoće s kojima se europski bankarski sektor suočava za vrijeme i nakon globalne financijske krize (GFC), svrha ovog rada je podići važna pitanja o održivosti sektora i ponuditi formulacije konkurentnih strategija za europske kreatore politike. Empirijski rezultati postižu se primjenom SWOT analize u tri faze, integriranog modela DEMATEL-ANP (DANP) i ‘fuzzy’ (neizrazitog) TOPSIS-a. Empirijski rezultati SWOT analize ukazuju na ukupno dvanaest čimbenika, koji su potom uključeni u formuliranje četiri strategije. DANP rezultati potvrđuju da faktor prilika ima najveći utjecaj, a snage imaju najniži utjecaj u odnosu na ostala tri faktora. Neizraziti rezultati TOPSIS-a pokazuju da najvažnija strategija jest da “Europska bankovna unija (EBU) ukloni odstupanja u bankarskom sektoru u eurozoni”, dok “zahtjev Basel-a III o nerizičnom omjeru financijske poluge (LR)” ima najmanju važnost medu strategijskim prioritetima

Random Regression Forest Model using Technical Analysis Variables: An application on Turkish Banking Sector in Borsa Istanbul (BIST)

The purpose of this study is to explore the importance and ranking of technical analysis variables in Turkish banking sector. Random Forest method is used for determining importance scores of inputs for eight banks in Borsa Istanbul. Then two predictive models utilizing Random Forest (RF) and Artificial Neural Networks (ANN) are built for predicting BIST-100 index and bank closing prices. Results of the models are compared by three metrics namely Mean Absolute Error (MAE), Mean Square Error (MSE), Median Absolute Error (MedAE). Findings show that moving average (MAV-100) is the most important variable for both BIST -100 index and bank closing prices. Therefore, investors should follow this technical indicator with respect to Turkish banks. In addition ANN shows better performance for all metrics

Interethnic peace, Security and Genocide in Bosnia-Herzegovina

In the case of Bosnian War (1992-1995), International Participation has just maintained interethnic peace with limited success. Peace-keeping strategies implemented without consensus subsequently set up an environment in which ethnic cleansings transformed into genocide in UN “ Safe Areas”. According to World Bank’s reports; following the end of military conflict late 1995, of a pre-war population of 4.4 million, an estimated 250,000 people had lost their lives or were considered missing, 200,000 to 400,000 people had been wounded, and an estimated 2.5 million people, more than half the population, either left the country as refugees or were internally displaced (The World Bank Report, 2004). Despite what has happened during the turmoil, the worst happened in Srebrenica as one of UN Security Zone which was protected by Dutch soldiers. Still it is unknown how many people had lost their lives in Srebrenica. According to Human Right Watch Reports, ethnic cleansing in Bosnia was systematically planned and implemented by Serbian irregulars. In this article, it is aimed to illustrate the negative effects of dissolving interethnic peace in Bosnia. The case of Bosnian interethnic war has been examined from security matter to genocide

Concept of Conflict within New Economy Environment and Its Impact on the Market Mechanism

The success of economic transition for countries mainly requires economic and politic stability. However the conflict paradigm affects the nature of economic transition. In this process, innovations have changed product technologies which have been required by economic growth. Presently, automation in standardized production industry is used as if it will take over the wage labor. Crises brought uniformities into agenda. Computer integrated manufacturing appeared in the midst of 1990s. However, production still tended to move to other countries with cheaper labor. The study focuses on interaction between the conflict and market mechanism in the light of the knowledge-based economic development

Investigating the impact of mobile telecom service characteristics on consumer satisfaction in urban Uganda

This paper aims to examine the impact of mobile telecom service characteristics on consumer satisfaction in urban Uganda, using a Servqual model. The association between customer satisfaction level and service quality characteristics has been tested with a regression analysis. In this study, assurance as a Servqual dimension has been substituted with tariffs to exhibit its effect on customers’ satisfaction levels. Findings verified that some of the Servqual dimensions including reliability, empathy, and responsiveness have been positively affecting the customer satisfaction level in the Ugandan context. The study also demonstrated that the prices of products and services of telecom companies were not the major concerns for telecom consumers in Uganda. The study, finally, provides some practical guidelines to managers of telecom companies as well as hinting out which Servqual dimensions are valued most by customers in Uganda

The evolving role of automated systems and its cyber-security issue for global business operations in Industry 4.0

Nowadays, effective business performance depends on digital competitive factors and its ability to transform corporate capabilities in the light of digitalization. In this study, the evolving role of automated systems for global business operations in the era of Industry 4.0 has been assessed from a theoretical perspective with a practical approach. It is aimed to demonstrate the role of high technologies in an effective supply chain management system with new technological components and cyber-security issues of automated vehicles in SCM. This study highlights that developments in Artificial Neural Networks, Image Processing, Multi-Purpose Decision-Making, Blurred Linguistic Variables, and automated systems increase the performance of the supply chain management system and boost business performance. It is also shown that the evolving role of the automated system requires capital investments on Research and Development effort

The Nature of the Creditor-Debtor Relationship in South Africa

This article was a result of an investigation measuring the ‘Correlation between Borrower Education and Non-payment Behaviour in Low Income Homeowners in South Africa as the premise of the study and poor relationship between lenders and borrowers as the secondary proposition. The study was motivated by the high level of foreclosures for non-payment of mortgages in the Protea Glen area in Johannesburg, Gauteng, as reported by the Human Rights Commission Inquiry in 2008. In investigating this non- payment behaviour the researcher employed largely quantitative instruments supplemented by qualitative methods. The study revealed interesting empirical findings that largely invalidated the founding hypotheses, despite existing theoretical frameworks - underpinned by various scholars - that sought to corroborate the hypotheses. The findings have however supported the premise that households reporting poor relationships with lenders were susceptible to non-payment behaviour. The rest of the secondary hypotheses were rejected by the empirical findings, viz. that there was no correlation between the level of formal education and non-payment behaviour; the link between propensity to default and the age of homeowners were also invalidated. From these findings, it can be demonstrated that there is a critical need for mitigating measures to remedy the identified shortcomings in this sector

CAMELS-based Determinants for the Credit Rating of Turkish Deposit Banks

This paper demonstrates the relationship between CAMELS ratios and credit ratings of deposit banks in Turkey. Annual data was used for the period between 2004 and 2014 in this study. Moreover, 20 deposit banks of Turkey were analyzed and 21 different ratios of CAMELS components were used. In addition to that, credit ratings of these banks were provided from Moody’s corporation or annual activity reports of the banks. After that, we created multi nominal logistic regression analysis in order to illustrate the relationship. The major finding in this study is that three components (Asset Quality, Management Quality, and Sensitivity to Market Risk) of CAMELS have effects on credit ratings whereas the ratios related to Capital Adequacy and Earnings are not effective. As a result, it was recommended that Turkish deposit banks should concentrate on the percentage of fixed assets and interest income to have a better rating. Moreover, having high market share with respect to total assets and lower interest expense are also other important points for this purpose. On the other hand, Turkish deposit banks should control the proportion of financial assets and increase the amount of FX liquid assets to prevent credit ratings to decrease. Additionally, market share of banks for loans should not reach at high level for this objective