System dynamics simulation modelling is one of the most appropriate and successful scientific methods of complex, nonlinear natural, economic and technical system dynamics modelling as it enables both monitoring and the assessment of the moral capital influence on economy growth. Moral capital cannot be measured in figures, however, its influence on economy growth is indisputable. The aim of this paper is to show the efficiency of the system dynamics simulation modelling of the moral capital influence on economy growth. Computer simulation provided a mathematical model, which enables practical insight into the dynamic behaviour of the observed system, i.e. the analysis of economy growth and observation of mutual correlation between individual parameters. The results of the simulation are presented in a graphic form. The dynamic model of the moral capital influence on the economy growth in the Republic of Croatia has been verified through the comparison of the simulation results with the existing economy growth data.

It is often much more complex to explore economic growth at a regional level than at a national level due to regional differences, specialization and concentration of certain activities. Therefore, specific economic policy measures and instruments applied in one region will not produce the same effects in another region or at a national level. Consequently, research components and knowledge have become widely accepted indicators of efforts invested in technological advancement that enables higher economic growth rate and creates overall social well-being. In view of that, this paper aims to look into the interdependence between research components and knowledge on the one hand and economic growth rates at the regional level in the European Union on the other. Because of statistical determination, the research has been carried out in the second- level EU regions. Since the data were not coordinated with other research components in terms of time and geography, it was not possible to break down financial support by regional, national and supra-national affiliation.

The development of science and technology plays a major role in economic growth. In some developed countries, the impact of technological advancement has reached 60-70% relative to other factors. Technology has become the main force in economic growth. Science and technology, theory and practice have become increasingly linked forming a single chain, promoting further development of technology, thus creating a need for continuous innovation and invention activities. Globalization, in particular the globalization of the economy, is a direct result of the scientific and technological revolution which creates links and scope for further development of the productive forces. The underlying driving force of globalization is technological development which makes the world a smaller place, both in terms of space and time, bringing qualitative and quantitative changes to the economic, political and cultural fields. System dynamics simulation modelling is one of the most suitable and effective scientific methods for modelling the dynamics of complex, non-linear natural, economic and technical systems. It enables monitoring and assessment of the impact of technology capital on economic growth. In creating a system dynamics simulation model of the impact of technology capital on economic growth of the Republic of Croatia we have created a structure diagram, mental-verbal model and mathematical model for the period between 1999 and 2009. Since system dynamics simulation model provides answers to the “what if” questions, two scenarios were constructed to analyse the economic growth influenced by technology capital change. The first scenario gives an answer to the question what would have happened to the economic growth of Croatia in the relevant period had there been a steady increase in investment in research and development, the implementation of advanced technology and investment in general. The second scenario gives an answer to the question what would have happened to the economic growth of Croatia had the share of the technology capital in the achieved economic growth been 0.39 instead of 0.1 (as recorded in Croatia).

Simulation Modelling, together with System Dynamics andintensive use of modem digital computer, which means massiveapplication, today very inexpensive and at the same timevery powerful personal computers (PCs), is one of the mostsuitable and effective scientific ways for investigation of the dynamicsbehaviour of non-linear and complex: natural, technicaland organization systems.The methodology of System Dynamics ( Prof dr. J. F arrester- MJT), e. g. a relatively new scientific discipline, in the fonnereducational and designer practice showed its efficiency in practiceas very suitable means for solving the problems of management,behaviour, sensibility, flexibility and sensibility of behaviourdynamics of different systems and processes.The system-dynamics computer simulation methodologywas used from 1991 to 2003 for modelling of dynamics behaviourof a large number of non-linear ship electrical, thenno-dynamical,hydraulic, mechanical and pneumatic systems. Thismethodology is used by students as the material for graduatetheses, and for realization and publishing the results of scientificresearch work by the professors at High Maritime Schooland Maritime Faculty Split.The aim of this paper is to show the efficiency of the applicationof the System Dynamics Simulation Modelling in investigationof behaviours dynamics, one of the Port-Transhipmentsystems presented with mental-verbal, structural and mathematical-computing modules, and it will simulate transhipmentport working processes.

In this paper Schaefer production model of sardine in Adriatic Sea was presented by System dynamics methodology. Sardine population was chosen due to its great economic importance to Croatian fishing. The qualitative and quantitative models of observed sardine population were developed. Different scenarios were made using available biological data for sardine in the Adriatic Sea, but only one scenario is given in this paper. That scenario (Scenario 0) presented behavior dynamics of sardine population when there was no fishing involved. The results of Scenario 0 showed that population had exponential growth in the beginning. The equilibrium (equal to carrying capacities) was achieved in the moment when rate of natural growth equaled the rate of natural death. This S-shape curve is characteristic for biological system in the equilibrium.

Sustavna dinamika (SD) je znanstvena metodologija za analizu, razvoj, simulaciju, i rjesavanje nelinearnih problema. Ovaj rad daje opis primjene metodologije SD u obrazovnom sustavu, kako za ucenike/studente tako i za nastavnike koji žele koristiti ovu metodologiju u nastavnom procesu i prakticnoj primjeni. SD za analizu složenih sustava i problema koristi racunalne simulacijske pakete, kao sto su: Dynamo, Vensim, powersim, iThink, Stella i dr. Koristenje informacijsko komunikacijske opreme u obrazovnom sustavu sve vise i vise raste kako kod ucenika/studenta tako i kod nastavnika u obrazovnom procesu. U poglavlju 3. Uz jednostavan primjer elektrotehnickog sustava prikazana je metodologija SD, odnosno nacin kako nauciti ucenike/studente da sustavno razmisljaju i koriste metodologiju SD. Time ce se znanje ucenika/studenta znacajno povecati u odnosu na dosadasnje tradicionalne metode i metodologije ucenja.

Computer simulation sub model of the business-production shipbuiding process- PSBP, which was made during 1991/92, in the framework of the global scientific project ORGANIZATION MODELLING OF THE PRODUCTION PREPARING DEPARTMENT IN MARINE SHIPBUILDING financed by the Ministry of Science and Tehcnology of the Republic of Croatia, is a result of the system dynamic simulation modelling of the dynamic shipbuilding process AMORELLA. Authors of this text give a well laid out report of all phases and the lastly phase exploitation of the ship (8th phase) guarantees period has run out, and they suggest implementation of the same metholology durin shipbuilding off all kinds of the ships.

The application of system dynamics modeling, i.e. system dynamics in western developed countries started to be used for simulation most complex systems 35 years ago. The first degree essays of marine systems processes models mentored by Ante Munitic PhD appeared at the faculty of Split twenty five years ago meaning that the same precious experiences have been gained up to today. Students worked out more than a hundred continued simulated models from maritime science and various scenarios were simulated on them. The topic of process dynamics of learning cybernetic systems in one of the main threads connecting cause - result relationships loops and cybernetic system behavior of management. The basis of this paper is the experience gained in the work with students hoping that methodology of system dynamics could be applied in higher and secondary school education.Studying cybernetic systems because of their complexity requires new methods and implements. One of new efficient methodologies is methodology of system dynamics. Knowledge of pupils and students will be increased by simulation of maritime systems and processes compared to current traditional methods of learning.

Simulation Modelling, together with System Dynamics and intensive use of modem digital computer, which mean massive application, today very inexpensive and in the same time very powerful personal computer (PC-a), is one of the most suitable and effective scientific way for investigation of the dynamics behavior of non-linear and complex: natural, technical and organization systems.The aim of this paper is to show the efficiency of the application of the System Dynamics Simulation Modelling in investigation of behaviors dynamics, one of the Port-Transshipment systems be presented with mental-verbal, structural and mathematical-computing models, and will simulate transshipment port working processes.[GRAPHICS].

System dynamics simulation modelling is one of the most suitable and most successful scientific methods of modelling of dynamics of complex, non-linear, natural, technical and organisational systems. System dynamics models are basically continuous models, as the subjects are presented by a set of non-linear differential equations, i.e. “ equations of state” . However, they are also discrete, as their basic time step, i.e. sampling “ DT” is defined in full accordance with the Sampling Theorem (Shannon, Nyquist and Koteljnikov). In this model a shipping company is divided into several separate units: commercial department, account balance, ships’ capacities, debits, credits, loan department, goods to be transported by vessel. This paper presents system dynamics simulation models of subsystem of account balance and subsystem of ships’ capacities, and the simulation of performance dynamics of the entire shipping organisation. The results presented in the paper have been derived from the scientific research project “ New Technologies in Diagnosis and Control of Marine Propulsion Systems” supported by the Ministry of Science, Education and Sports of the Republic of Croatia.

One of the most suitable and effective way of dynamics modelling of the complex nonlinear natural, technical and organization systems is The System Dynamics Computer Simulation Modelling Methodology. The System Dynamics school of modelling does have its own set of strict rules for what constitutes proper professional procedure or methodology. Following a number of computer-laboratory researches, the system dynamics simulation models were manufactured out from 1991 to 2007, as under-graduate theses at the Maritime Faculty University of Split and the Polytechnic of Dubrovnik (former Maritime Faculty in Dubrovnik). The aims of this paper are:1. to show the efficiency of this modelling approach,2. to give marine students the better "point of view" or tool for the non-linear dynamics models simulation, as it would improve marine education processes, and3. to show one example for supporting new education quality, exactly as it is in case of THE MARINE STEAM TURBINE-DRIVE GENERATING SET.

The paper deals with dynamic analysis of automatic ship steering gear systems utilising complex controls that function according to the principle of proportional, integral and derivation regulators. The analysis involves a system dynamic simulation modelling methodology as one of the most suitable and effective means of dynamic modelling of complex non-linear, natural, organisational and technical systems.The paper discusses system dynamics simulation models being used in qualitative (mental-verbal, structural) and quantitative (mathematical and computer) simulation models on ships equipped with trailing steering systems and PID regulator.Authors suggest using the presented models for designing and constructing new steering systems, for diagnosing existing constructions and for education in Universities.

By showing a characteristic theme of an educational unit, which is presented with the aid of a computerised simulation based on a mathematical model, a statement is illustrated claiming that utilisation of computers can shorten the time needed for presenting expert knowledge. At the same time, the quality and the clarity of the lecture is improved. A positive and a favourable boost to the student's creative capabilities should be added.

System dynamics simulation modelling of a nautical and tourist port NTBS (Nautical Tourist Business System) in relation to investments in sports objects will result in an increase of the quality of the total offer and an increase of competitive forces of the observed system. The system of nautical and tourist ports NTBS has all the characteristics of a complex organisation and business system for which dynamic modelling efficient methods of simulation techniques have to be used. One of the relatively recent, and particularly exposed and practically proved scientific methods is system dynamics simulation modelling which was developed by the distinguished Professor Forrester in the famous world scientific centre of the development of management science - The Sloan School of Management (MIT).In this paper, the NTBS will be determined through a global model of integral nautical and tourist service (from berthing service as a basic service to all other additional services). The subsystem of investments in new capacities, like sports and additional capacities will be determined by exogenous variable VINK - value of investments in new capacities.

Jedan od najizrazitijih drustvenih procesa koji u danasnje vrijeme znatno mijenja svijet, jest pitanje uzrocno-posljedicnih sinergijskih utjecaja virtualne komunikacije i Interneta na suvremeno drustvo. Komunikacija, suvremeno drustvo, virtualnost, virtualna realnost, virtualno drustvo, elektronicka i tehnoloska kultura, informatika, informacijska znanost i informacijska tehnologija, Internet, virtualna komunikacija, virtualni organizacijski sistemi… predstavljaju novi tehnoloski, znanstveni, kulturoloski i drustveni kompleks koji revolucionarno mijenja suvremenu povijest ljudskoga drustva. Paradigma informacijskih tehnologija utjece na suvremeno informacijsko i postinformacijsko drustvo, u kojima je dominantan faktor proizvodnja znanja i umijeca, kao temeljni nositelj razvoja postinformacijskog drustva i drustva opcenito. Između varijabla: VSUN - virtualnog svijeta, SRI - Interneta, SOKŽ - stanja opce kvalitete života ili SNT - stanja negativnih tendencija (opce kvalitete života), te VODITR-virtualiteta, opce dobrobiti drustvu koja djeluje kao impuls daljnjemu pozitivnom tehnoloskom razvitku drustva u cjelini, to jest STR-varijabla, i povratno na SRI-stanja u razvoju Interneta, ili VSUN-stanja virtualnoga svijeta, koji povratno djeluju na SRI-stanja u razvoju Interneta i stanja tehnoloskog razvitka - djeluju mnogobrojne uzrocno-posljedicne veze! Realitetom integriranog sistema virtualnoga svijeta, Interneta i tehnologije dominiraju cetiri kruga povratnog djelovanja kojih je utjecaj na globalnu dinamiku ponasanja Interneta, tehnoloskog razvitka drustva i opce kvalitete života dominantan. Krugovi povratnog djelovanja KPD 1(+), to jest stanja kvalitete života, KPD 3 (+), to jest stanja razvoja Interneta, i KPD 4(+), to jest stanja razvoja virtualnog svijeta – pozitivnoga su kumulativnog karaktera, sto znaci da imaju pozitivan predznak (+), dok KPD 2(-) ima tzv. negativni dinamicki predznak, sto znaci da vodi sistem prema smirivanju kumulativne dinamike ponasanja ostalih triju krugova povratnoga djelovanja.