Journal of Information and Organizational Sciences (JIOS)
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Modeling Organizational Design - Applying A Formalism Model From Theoretical Physics
Modern organizations are exposed to diverse external environment influences. Currently accepted concepts of organizational design take into account structure, its interaction with strategy, processes, people, etc. Organization design and planning aims to align this key organizational design variables. At the higher conceptual level, however, completely satisfactory formulation for this alignment doesn’t exist. We develop an approach originating from the application of concepts of theoretical physics to social systems. Under this approach, the allocation of organizational resources is analyzed in terms of social entropy, social free energy and social temperature. This allows us to formalize the dynamic relationship between organizational design variables. In this paper we relate this model to Galbraith's Star Model and we also suggest improvements in the procedure of the complex analytical method in organizational design
Java Applications Development Based on Component and Metacomponent Approach
Component based modeling offers new and improved approach to design, construction, implementation and evolution of software applications development. This kind of software applications development is usually represented by appropriate component model/diagram. UML, for example, offers component diagram for representation of this kind of model. On the other hand, metacomponents usage offers some new features which hardly could be achieved by using generic components. Firstly, implementation of program properties which are dispersed on different classes and other program units, i.e. aspects, is offered. This implies using automated process of assembling components and their interconnection for building applications, according to appropriate model offered in this paper, which also offers generic components usage. Benefits of this hybrid process are higher flexibility achieved by automated connection process, optimization through selective features inclusion and easier application maintenance and development. In this paper we offer an approach of application development based on hybrid component/metacomponent model. The component model is given by UML diagrams, while the metacomponent model is given by generator scripting model. We explain that hybrid approach on an example of Java Web application development
METHODOLOGY FRAMEWORK FOR PROCESS INTEGRATION AND SERVICE MANAGEMENT
History of information systems development was driven by business system's functions automation and mergers and acquisitions - business subjects integration into a whole. Modern business requires business processes integration through their dynamics and thus enterprise application integration (EAI) as well. In this connection it is necessary to find ways and means of application integration and interaction in a consistent and reliable way. The real-time enterprise (RTE) monitors, captures and analyzes root causes and overt events that are critical to its success the instant those events occur [6]. EAI is determined by business needs and business requirements. It must be based on business process repository and models, business integration methodology (BIM) and information flow as well. Decisions concerning technology must be in function of successful application integration. In this paper EAI methodological framework and technological concepts for its achievements are introduced
DEVELOPMENT OF AHP BASED MODEL FOR DECISION MAKING ON E-LEARNING IMPLEMENTATION
Strategic planning of e-learning implementation includes decision making about the most suitable form of implementing e-learning on different levels. Decision making about e-learning implementation has been covered as consisting of four phases: (1) intelligence, (2) design, (3) choice and (4) implementation. During the Intelligence phase we have precisely identified our central decision problem and have conducted situation analysis. In the Design phase we have developed alternatives and established criteria and subcriteria. Then, we have created the questionnaire about the importance of the advantages and goals of e-learning implementation and about criteria and subcriteria essential for decision making. The survey has been conducted on the sample of 90 elearning experts in Croatia. Further, we connected these findings with the results of the factor analysis which was performed on the complete survey. The results of the factor analysis have served as input in the multicriteria decision model (AHP) that we have developed in the Choice phase. The AHP model will be presented in the article and qualitative and quantitative evaluation of the model will be indicated
TOWARDS AN OPEN BIOMETRIC ONTOLOGY
Over the last decade we faced a great number of publications in the field of biometrics. Many new biometric methods, techniques, models, metrics and characteristics were proposed. Due to this explosion of research, scientific and professional papers certain inconsistencies in terminology. What some authors call a biometric method, others call model, system or even characteristic. There wasn't enough effort in creating a unique systematization and categorization which would approach the stated issues and open new areas of research. We argue that it is possible to approach biometrics in a narrower and in a broader perspective. We observed biometrics in the narrower perspecive and created a unique framework for the systematization and categorization of biometric methods, models, characteristics and patterns based on a general biometric system. This systematization is a fundamental step forward towards the creation of an open biometrics ontology
COLOR MANAGEMENT IMPLEMENTATION IN DIGITAL PHOTOGRAPHY
Digital cameras on the market today have a great potential to become the powerful tool for capturing images for use in all demanding fields (such as artwork digitalization), so many professionals started using digital technology. But, it is often the case, that it is necessary to spend a lot of time for visual editing and making color corrections in various software applications. In this research, some ICC color management techniques were used and tested to investigate the quicker ways to achieve digital images with improved color reproduction accuracy, without visual editing. A testing procedure for characterizing digital camera is described. This procedure is target-based, thus providing objective measurement of quality. The special color reference target for digital camera characterization was developed, applied and tested. The results show that using proposed methodology, the workflow efficiency and color accuracy can be improved
RESOLVING DATABASE CONSTRAINT COLLISIONS USING IIS*CASE TOOL
Integrated Information Systems*Case (IIS*Case) R.6.21 is a CASE tool that we developed to support automated database (db) schema design, based on a methodology of gradual integration of independently designed subschemas into a database schema. It provides complete intelligent support for developing db schemas and enables designers to work together and cooperate reaching the most appropriate solutions. The process of independent design of subschemas may lead to collisions in expressing the real world constraints and business rules. IIS*Case uses specialized algorithms for checking the consistency of constraints embedded in the database schema and the subschemas. IIS*Case supports designers in reviewing and validating results obtained after each step of the design process. The paper outlines the process of resolving collisions. A case study based on an imaginary production system is used to illustrate the application of IIS*Case. Different outcomes and their consequences are presented
DECISION SUPPORT SYSTEM TO SUPPORT DECISION PROCESSES WITH DATA MINING
Traditional techniques of data analysis do not enable the solution of all kind of problems and for that reason they have become insufficient. This caused a newinterdisciplinary field of data mining to arise, encompassing both classical statistical, and modern machine learning techniques to support the data analysis and knowledge discovery from data. Data mining methods are powerful in dealing with large quantities of data, but on the other hand they are difficult to master by business users to facilitate decision support. In this paper we introduce our approach to integration of decision support system with data mining. We discuss the role of data mining to facilitate decision support, the use of data mining methods in decision support systems, discuss applied approaches and introduce a data mining decision support system called DMDSS - Data Mining Decision Support System. We also present some obtained results and plans for future development
PROACTIVE APPROACH TO THE INCIDENT AND PROBLEM MANAGEMENT IN COMMUNICATION NETWORKS
Proactive approach to communication network maintenance has the capability of enhancing the integrity and reliability of communication networks, as well as of reducing maintenance costs and overall number of incidents. This paper presents approaches to problem and incident prevention with the help of root-cause analysis, aligning that with the goal to foresee software performance. Implementation of proactive approach requires recognition of enterprise's current level of maintenance better insights into available approaches and tools, as well as their comparison, interoperability, integration and further development. The approach we are proposing and elaborating in this paper lies on the construction of a metamodel of the problem management of information technology, particularly the proactive problem management. The metamodel is derived from the original ITIL specification and presented in an object-oriented fashion by using structure (class) diagrams conform to UML notation. Based on current research, appropriate metrics based on the concept of Key Performance Indicators is suggested
TIME SERIES ANALYSIS USING A UNIQUE MODEL OF TRANSFORMATION
REFII1 model is an authorial mathematical model for time series data mining. The main purpose of that model is to automate time series analysis, through a unique transformation model of time series. An advantage of this approach of time series analysis is the linkage of different methods for time series analysis, linking traditional data mining tools in time series, and constructing new algorithms for analyzing time series. It is worth mentioning that REFII model is not a closed system, which means that we have a finite set of methods. At first, this is a model for transformation of values of time series, which prepares data used by different sets of methods based on the same model of transformation in a domain of problem space. REFII model gives a new approach in time series analysis based on a unique model of transformation, which is a base for all kind of time series analysis. The advantage of REFII model is its possible application in many different areas such as finance, medicine, voice recognition, face recognition and text mining