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AN EVALUATION MODEL OF BUSINESS INTELLIGENCE FOR ENTERPRISE SYSTEMS WITH NEW EXTENSION OF CODAS (CODAS-IVIF)

Jalil Heidary Dahooei, Edmundas Kazimieras Zavadskas, Amir Salar Vanaki, Hamid Reza Firoozfar, Mehdi Keshavarz-Ghorabaee

Nowadays, organizations may deal with a variety of issues challenging the decision making such as overflow of data, lack of information, lack of knowledge and insufficiency of reports (Lin, Tsai, Shiang, Kuo, & Tsai, 2009). Over the years, management information systems including DSS, ES, EIS, and so on have been widely supported companies with their decisions; however, a key missing capability to manage decisions for emergencies, monitoring competition, collect data from different points of views, and carrying out constant analyses of numerous data and consider different variants of organization performance, is the major cause of failure to adequately meet the needs of enterprise decision-makers (Olszak & Ziemba, 2007). Given the widespread changes and the dynamics of today’s environment, organizations need to use new information systems that can analyse the various causal relationships both within and outside the organization. Hence they move towards using business intelligence (Gangadharan & Swami, 2004; Duan & Da Xu, 2012).
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PREDICTING BANKRUPTCY OF MANUFACTURING COMPANIES IN EU

Václav Klepáč, David Hampel

The best defense against existential problems of a company appears to be good financial health, based on a satisfactory financial situation. If, however, considerably weakened, the company gets into financial distress, which may turn into a financial crisis and end up in bankruptcy. The primary means, by which we would be informed about the condition of the enterprise, are bookkeeping data of a company. From there, based on financial analysis, we can identify scenarios leading to good management decisions and, consequently, to the financial health of the company.
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MULTI-CRITERIA GROUP DECISION-MAKING USING AN EXTENDED EDAS METHOD WITH INTERVAL TYPE-2 FUZZY SETS

Mehdi Keshavarz Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Zenonas Turskis

Multi-criteria decision-making (MCDM), which is a sub-discipline of operations research (OR), includes many methods and problems, which are related to many fields such as economy, engineering, military and management (Zavadskas et al., 2014; Lazauskas et al., 2015; Tošenovský, 2015). There are different classifications of MCDM problems and methods. We can classify them as multi-criteria evaluation problems and multi-criteria design problems (Chakraborty et al., 2015; Triantaphyllou, 2013).
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SUCCESS EVALUATION MODEL FOR PROJECT MANAGEMENT

Radek Doskočil, Stanislav Škapa, Petra Olšová

The need for effective planning and management is on the increase along with the increasing complexity and laboriousness of making changes or creating new value. Project management is an ideal tool in this respect (Schwable,2011; Bočková et al., 2005). The risks associated with deadlines or budgets are extremely serious. Problems of project modelling and simulation are highly topical at the present time, because the application of project management principles is expanding into further areas – change management (Cummings et al., 2016; Yin-xiang, 2013), crisis management (Wimelius & Engberg, 2015), innovation management (Balkienė, 2013; Dudzevičiūtė & Tvaronavičienė, 2011; Grossmann, 2009), etc. – which have only very basic features of projects.
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A NOVEL SORTING METHOD TOPSIS-SORT: AN APPLICATION FOR TEHRAN ENVIRONMENTAL QUALITY EVALUATION

Hassanali Faraji Sabokbar, Ali Hosseini, Audrius Banaitis, Nerija Banaitiene

Multiple Criteria Decision Making (MCDM) is all about making choices in the presence of multiple, generally conflicting criteria. Many reallife problems are multi-objective by nature that requires evaluation of more than one criterion. Therefore, MCDM has become an important issue and many researches are devoted to help people make better decision (Montibeller & Franco, 2011; Wang et al., 2015).
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AN APPROACH TO MEASURING WEBSITE QUALITY IN THE RURAL TOURISM INDUSTRY BASED ON ATANASSOV INTUITIONISTIC FUZZY SETS

Dragisa Stanujkic, Edmundas Kazimieras Zavadskas, Jolanta Tamošaitienė

Tourism is a very important industry in today’s global economy. Tourism also stimulates other industries significantly. The analysis of south-eastern European countries provides the initial framework for benchmarking the tourism performance of different countries, and determination of objectives and strategies for improving tourism competitiveness. The quality aspect leads to the success of tourism development is any destination. It is one of the sustainable tourism development.
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METHOD FOR SELECTING EXPERT GROUPS AND DETERMINING THE IMPORTANCE OF EXPERTS’ JUDGMENTS FOR THE PURPOSE OF MANAGERIAL DECISION-MAKING TASKS IN HEALTH SYSTEM

Ilya Ivlev, Peter Kneppo, Miroslav Barták

Current trends in scientific and technological advances are bringing a significant improvements in health care as a result of creation new tools tool to support decision making process for decision-makers (DM). The experts group approach is used in health sector both clinical and nonclinical decision-making.
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THE EFFECTS OF CO-BRAND MARKETING MIX STRATEGIES ON CUSTOMER SATISFACTION, TRUST AND LOYALTY FOR MEDIUM AND SMALL TRADERS AND MANUFACTURERS

Kim Ki-Pyeong, Kim Yoo-Oh, Lee Min-Kweon, Youn Myoung-Kil

Due to Korea’s recent economic depression, polarised consumption, and intensifying competition, its medium and small traders and manufacturers find it increasingly difficult to compete for sales in the domestic and foreign markets. The reality is that their survival is being threatened by the weakness of their brand power compared to that of large businesses and global enterprises, and a global problem is particularly acute in Korea because of the nature of its economy.
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Concordance Measures and Second Order Stochastic Dominance - Portfolio Efficiency Analysis

Miloš Kopa, Tomáš Tichý

The portfolio selection problem is one of the most important issues of financial risk management. In order to determine the optimal composition for a particular portfolio it is crucial to estimate the dependency among the evolution of particular risk factors, i.e., the joint distribution of log-returns of particular assets. However, in order to formulate the joint distribution, there is a need for a suitable measure of dependency. A standard assumption is that the (joint) distribution of large portfolios is multivariate normal and that the dependency can be described well by a linear measure of correlation (Pearson coefficient of correlation). Unfortunately, from real applications it is clear that the Pearson correlation is not sufficiently robust to describe the dependency of market returns.
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A Multi-Objective Decision Support System for Project Selection with an Application for the Tunisian Textile Industry

Willem Karel M. Brauers, Edmundas Kazimieras Zavadskas

In this paper project selection is proposed as an answer to development planning. Project Selection assumes "that the project to be analysed will constitute a new economic activity…..in practice, however, many projects will only modify an existing economic activity" [42]. In addition different competing projects are considered and a final choice is made by Multiple Objective Optimization.
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