Emil Scarlat

Bucharest Academy of Economic Studies | ASE · Department of Computer Science and Cybernetics

The explosive development of artificial intelligence, machine learning and big data methods in the last 10 years has been felt in the financial-banking field which has subjected to profound changes aimed at determining an unprecedented increase in the efficiency and profitability of the businesses they carry out. The tendencies of applying the conc...

Sentiment analysis is one of the most important topics in the Natural Language Processing field, aiming to determine whether a text expresses a positive, negative or neutral perception. In most sentiment analysis applications, a central role is played by the sentiment lexicons, which are lexical resources that include lists of tokens, together with...

The Structural Funds, in order to produce the intended effects, must use their specific management tools, for achieving the strategic objectives, outcome indicators and elements of added value set by each EU member state. The project portfolios must be managed properly. If risks of a project become contagious for other projects, we are witnessing a...

Despite the traditional economic perspective on cognition and systems in which only two main categories of knowledge could be encountered: tacit knowledge (also known as black" knowledge) and explicit knowledge ("white" knowledge), the new economic theory gives the necessary framework for the appearance of a new type of knowledge, namely the grey k...

Facebook is one of the largest socializing networks nowadays, gathering among its users a whole array of persons from all over the world, with a diversified background, culture, opinions, age and so on. Here is the meeting point for friends (both real and virtual), acquaintances, colleagues, team-mates, class-mates, co-workers, etc. Also, Facebook...

Now-a-days, healthcare risks are more and more complex and interconnected due to the large number of agents which are meeting and interacting in this environment and due to the rapid development of technologies and information sharing. Therefore, the present paper focuses on the main healthcare risk categories and tries to qualitatively assess them...

With the rapid development of social media and social strategies, firms have defined and applied an action plan in order to offer and to lure their customers. In this context, the internet has become the meeting place between companies and their targeted audience. Recent studies have shown us that customers are more likely to buy a certain product...

Today’s leading businesses have understood the role of “social” into their everyday activity. Online social networks (OSN) and social media have melt and become an essential part of every firm’s concerns. Brand advocates are the new leading triggers for company’s success in online social networks and are responsible for the long term engagement bet...

Through this study we intend to demonstrate that the capital market index in Romania is influenced by the real GDP, the stock exchange indices, the real interest rate, the exchange rate RON/USD and the inflation rate. Therefore, the grey systems theory has been used, namely the degrees of grey incidences have been calculated for the considered vari...

The paper analyses the predictive power of heterogeneous agents interacting in an evolutionary agent-based model of the stock market when simulated through Altreva Adaptive Modeler multi-agent simulation software application. The paper tests the long-term prediction accuracy of an evolutionary agent-based model when simulating the S&P500 stock mark...

After 1990, the Romanian health system has entered into a comprehensive reform process, which continues even today in order to meet the conditions imposed by the European Union. Also, the implementation of a risk management's system in each hospital is a condition that has to be accomplished and implemented. As the risks encountered at a hospital's...

Today, the beneficai impact of using Key Risk Indicators (KRI) is known all over the world, but there isn't a structured and uniform approach to build and apply KRI in every „ structure" of a company. In this paper, six of the most KRI have been identified along with their underlying correlated indicators. Implementation of KRI is necessary for obt...

The present paper gives a new perspective on the banking risks and on their influences on the banking sector as a whole. Due to the actual financial crisis, the banks are facing more and more complex risks, with difficult to measure and manage impacts. Among these risks, the one coming from their inside structure were depicted and analyzed in the p...

The present paper tries to give a whole new vision on the firm's future evolution forecasting. By taking into account some of the current values of its symptoms and applying one of the most used models in the grey systems theory, namely the GM(1,1), some predictions related to its future symptoms' values can be determined. Having these values and t...

Purpose – The present paper tries to give a new vision on the firm's future evolution forecasting. By taking into account some of the current values of its symptoms and applying one of the most used models in the grey systems theory, namely the GM(1,1), the predictions related to its future symptoms' values can be determined. Having these projected...

The present paper tries to give a new perspective on the banking risks and their influence on the profitability of the banking sector as a whole, with a tremendous impact on banks survival in now-a-days economy. Due to the more and more uncertain economical environment, this impact is even harder to be measured and managed. That is why here it can...

Purpose - This paper attempts to identify the strength of the relation between the quality characteristics of companies that are activating in an economy and their performance. Design/methodology/approach - In the quality characteristics sphere were included almost all the elements related to company’s behaviour on a market, in an uncertain enviro...

High frequency computer-based trading (HFT) represents a challenging topic nowadays, mainly due to the controversy it creates among investors on the financial market. The hereto paper compares two types of agent-based models, one with zero-intelligence traders and the other with intelligent traders in order to simulate the tick-by-tick high frequen...

The present paper focuses on the development of a computational grey model designed of such a manner that will allow to firm's managers a better picture about the risks their firm can be exposed to in the future. For this, elements taken from grey systems theory are taken into account for melting the firms' characteristics and for establishing the...

This research investigates the dynamics of communities of practice (CoP) seen as an essential elements of up surging knowledge societies. The concept of CoP has received much attention from researchers and practitioners in KM. In this context, CoPs are seen as voluntary associations of people who choose to improve their skills and problem solving c...

Purpose – The purpose of this paper is to analyse the role of computational intelligence techniques in the process of communities' formation. Design/methodology/approach – The paper develops a high performance genetic algorithm for community formation based on collective intelligence capacity. An experimental study is presented to illustrate the a...

Purpose – By making an analogy with the human body, the purpose of this paper is to underline the relations between a firm's failure causes and its current situation, in terms of the syndrome that can be identified at its level. Design/methodology/approach – For this reason, some elements taken from medicine, such as symptoms, causes and syndromes...

The hereto article indicates how multifractals related ideas can contribute to the modelling of the long-memory nature of the financial market volatility. The multifractal models appear in the context of the new paradigm of the financial markets, being related to Benoit Mandelbrot’s fractal view of the financial markets, while the analysed multifra...

The main objective of the paper is to discuss how indicators and metrics can be used in risk management. In introduction, there are presented some general ideas about enterprise risk management and its implementation using key risk indicators (KRIs). In Section, there are presented several definitions for KRI and the steps which must be followed fo...

Most of the algorithms using the computational techniques have specific objectives, like prediction or diagnosis, based on fixed data structure. Such algorithms are the main elements of the intelligent systems that have to select the appropriate data, to obtain information from the selected data, and then to create concepts and to reason in orde...

Most of the algorithms using the computational techniques have specific objectives, like prediction or diagnosis, based on fixed data structure. In this context, community formation has gained more and more attention from both the researchers and practitioners. We propose a high performance genetic algorithm for community formation. The key concept...

By making an analogy with the human body, the present paper tries to underline the relations between firm's failure causes and its current situation, in terms of the syndrome that can be identified at its level. For this reason, some elements taken from medicine, such as symptoms, causes and syndromes are presented and characterized from the firm p...

The knowledge and its dynamics are important features of the networked organizations capable to improve their fast response and flexible problem solving capabilities in complex environments. This chapter proposes an interpretation of the processes of knowledge flows’ formation and diffusion in networks and knowledge ecosystems based on the concept...

The research presents an alternative to the classical method of measuring financial risk in funding a project. The goal of the model described in the paper implies identifying "risky areas" within the financial balance of the project. The model analysis the financial risk behavior studied along four scenarios by varying only the cost of financing s...

Community formation has certainly gained more and more attention from both the researchers and practitioners in the field of complex networks. An efficient algorithm is needed since the number of the possible communities is exponential in the number of agents. Genetic algorithm is a very useful tool for obtaining high quality and optimal solutions...

Purpose – The purpose of this paper is to realise a complete analysis at the company level using grey systems theory for shaping the relations among variables. Design/methodology/approach – Starting from the symptoms that can be identified and moving forward to causes that determine a specific stage in a company's development and long-term surviva...

Knowledge assets are a critical resource that can generate a competitive advantage for organizations. Generally, knowledge can be divided in explicit knowledge and tacit knowledge. Organizations focus on managing the explicit knowledge, but also on capturing the tacit knowledge embedded in the individuals’ experiences. Through the interactions in s...

Knowledge-oriented organizations are bricks for the knowledge-based society construction. Building knowledge-based society and economy suppose challenging transition processes from the classical structure of an organization to new organizational forms that help to fill the gap between actual society and the future knowledge-based society and econom...

This paper attempts to put forward a hybrid model which combines the advantages offered by grey systems theory with the ones offered by fuzzy theory and which tries to identify the causes that are influencing financial failure of a company. For this reason, a grey knowledge matrix will be determined. Its elements are obtained by the composition of...

The aim of this paper is to highlight the importance of trust and reputation in communities of practice and to describe a theoretical framework for the organization of communities of practice in a dynamic perspective. The inter-organizational behavior of communities of practice members has been researched and formalized using agent-based representa...

This paper attempts to put forward a hybrid model which combines the advantages offered by grey systems theory, fuzzy theory and genetic algorithm, and tries to identify the causes that are influencing financial failure of a company. For this purpose, a knowledge matrix will be computed. Further, this matrix can be composed with a one-dimensional s...

The core of our proposal is the determination of a “matrix of symptoms”, based on grey systems theory. The symptoms of a firm can be represented by economic-financial ratios, usually used by analysts to make predictions and suggestions. The ability to create such a matrix of symptoms implies that given level of symptom’s intensity, we can determina...

This paper attempts to put forward a hybrid model which combines the advantages offered by grey systems theory, fuzzy theory and neural networks. While φ -fuzzy sub-set offers the suitable tools for the treatment of uncertainty and subjectivity, grey systems theory is used for variables selection. Also, neural networks pattern recognition facility...

The modern organizations are facing problems which have caused them to lose personnel. Losing people, the organizations lose knowledge. One of the solutions is to collaborate and share knowledge across time and distance. Knowledge sharing in communities has attracted attention in fields like knowledge management or sociology, in both research and p...

Utility is a concept used by economic theory to characterize human decision-making. Project financing implies a complex decision-making process that is based on an agent’s choice of financial sources. Selecting between various financing options is guided by risk and reward. These two criteria make up the value of each project financing option. The...

Knowledge assets are a critical resource that can generate a competitive advantage for organizations. Generally, knowledge can be divided in explicit knowledge and tacit knowledge. Organizations focus on managing the explicit knowledge and also on capturing the tacit knowledge embedded in the individuals’ experiences. Knowledge development represen...

Knowledge Ecosystems (KEs) desist to be just a new paradigm and become reality for many economic and social fields. The KE is a digital ecosystem (DE) where knowledge flows dynamically among the entities within the ecosystem. Defining the KE as an ecosystem that "fosters the dynamic evolution of knowledge interactions between entities", we emphasiz...

The core of our proposal is the determination of a "matrix of symptoms", based on grey systems theory. The symptoms of a firm can be represented by economic-financial ratios, usually used by analysts to make predictions and suggestions. The ability to create such a matrix of symptoms implies that given level of symptom's intensity, we can determina...

Trust and reputation are fundamental concepts in multi-agent systems, but at the same time are significant to human life. The purpose of this paper is to find a way to enhance collective intelligence within organizations. First, we present some perspectives concerning the concepts of collective intelligence, trust and reputation. Then we suggest fo...

Trust and reputation are fundamental concepts in multi-agent systems, but at the same time are significant to human life. The purpose of this paper is to find a way to enhance collective intelligence within organizations. First, we present some perspectives concerning the concepts of collective intelligence, trust and reputation. Then we sugges...

This paper describes the reference architecture to support a multi-user virtual healthcare network that enables rehabilitation and social reintegration of people with disabilities. The network, based on a virtual collaborative environment supported by the www, includes collaboration and interpersonal communication devices and data collection mechan...

In this paper, we discuss a framework for healthcare knowledge ecosystems (HKE) modelling with effective knowledge share, depreciation and forgotten. The term of Knowledge Ecosystem (KE) is used to define a community of practice that builds knowledge in a bottom-up, networked and dynamic fashion. A HKE aims to organize and manage knowledge for the...

As the Internet develops into a robust and complex social network, it will be important to un- derstand the economic characteristics of electronic markets (e-markets). Firms, consumers, government regulators and decision makers face a variety of problems when analyzing, de- signing and measuring these markets. In the present paper we discuss the ec...

The concept of Knowledge Ecosystem (KE) is used to define a community of practice that builds knowledge in a bottom-up, networked and dynamic fashion. These features define a new kind of digital ecosystem that is domain specific and operate in an open (virtual or real) world. The openness is an ideal situation that needs to apply the unified standa...

The core of our paperwork consists in construction of a model for determining a hierarchy of qualitative and quantitative causes that are influencing service companies’ financial health. While the quantitative causes are objectively measurable, the qualitative causes are mainly subjectively measurable, quantified based on some experts’ opinion. In...