Knowledge and innovation as value drivers in professional services firms: an empirical research in Central and Eastern Europe

The purpose of this study was to investigate empirically the role of knowledge and innovation within Central and Eastern Europe’s changing economy. We applied qualitative research methods, and focused only on professional services firms within the region. The connection between knowledge and innovation as well as knowledge and competitiveness was analyzed by top managers and senior industry experts. Our findings revealed that knowledge might be a real value driver for professional services firms. These companies can significantly contribute to the development of modern economies through the dissemination of their internal best practices in knowledge management. We found three factors that might influence the effectiveness of knowledge management. These three factors are the involvement of international knowledge networks, the investments in human capital, and focus on critical resources. These issues proved to be essential to maximize the potential of knowledge and to leverage this into increased business performance.

Pairwise comparison matrices: an empirical research

Our research focused on testing various characteristics of pairwise comparison (PC) matrices in controlled experiments. About 270 students have been involved in the test exercises and the final pool contained 450 matrices. Our team conducted experiments with matrices of different size obtained from different types of MADM problems. The matrix elements have been generated by different questioning orders, too. The cases have been divided into 18 subgroups according to the key factors to be analyzed. The testing environment made it possible to analyze the dynamics of inconsistency as the number of elements increased in a given case. Various types of inconsistency indices have been applied. The consequent behavior of the decision maker has also been analyzed in case of incomplete matrices using indicators to measure the deviation from the final ranking of alternatives and from the final score vector.

Versenyképesség haloptikával – Helyi gazdaságfejlesztési problémák fejlődő városokban = Competitiveness at short range - Local problems of economic development in medium-sized towns

The aim of our research in the first half of 2011 was to find out what were the administrative, regulative and other problems that were specific obstacles to local economic development and what best practices can be found in local economies. During our research we carried out interviews with leaders and local professionals in five medium size towns of Hungary. We stated that the most obstructive factors were the imperfection of vocational training, the excessively bureaucratic administrative proceedings (supplying of data, acquisition of authority permits, the attitude of the authorities, etc.) and the system of application and finding sources of funds. We think that the most innovative solutions are the good examples of the institutionalized co-operation between local governments and local businesses. We've come to the conclusion that there is a need for reducing administrative burdens for the sake of local economic development.

Simulation modeling of phytoplankton dynamics in a large eutrophic river, Hungary – Danubian Phytoplankton Growth Model (DPGM)

Ecological models have often been used in order to answer questions that are in the limelight of recent researches such as the possible effects of climate change. The methodology of tactical models is a very useful tool comparison to those complex models requiring relatively large set of input parameters. In this study, a theoretical strategic model (TEGM ) was adapted to the field data on the basis of a 24-year long monitoring database of phytoplankton in the Danube River at the station of G¨od, Hungary (at 1669 river kilometer – hereafter referred to as “rkm”). The Danubian Phytoplankton Growth Model (DPGM) is able to describe the seasonal dynamics of phytoplankton biomass (mg L−1) based on daily temperature, but takes the availability of light into consideration as well. In order to improve fitting, the 24-year long database was split in two parts in accordance with environmental sustainability. The period of 1979–1990 has a higher level of nutrient excess compared with that of the 1991–2002. The authors assume that, in the above-mentioned periods, phytoplankton responded to temperature in two different ways, thus two submodels were developed, DPGM-sA and DPGMsB. Observed and simulated data correlated quite well. Findings suggest that linear temperature rise brings drastic change to phytoplankton only in case of high nutrient load and it is mostly realized through the increase of yearly total biomass.

The use of Poisson regression in the sociological study of suicide

This paper explains how Poisson regression can be used in studies in which the dependent variable describes the number of occurrences of some rare event such as suicide. After pointing out why ordinary linear regression is inappropriate for treating dependent variables of this sort, we go on to present the basic Poisson regression model and show how it fits in the broad class of generalized linear models. Then we turn to discussing a major problem of Poisson regression known as overdispersion and suggest possible solutions, including the correction of standard errors and negative binomial regression. The paper ends with a detailed empirical example, drawn from our own research on suicide.