A vállalati informatika szerepe a versenyképesség alakításában a pénzügyi és gazdasági válság időszakában (Corporate IT in shaping the competitiveness of the Hungarian enterprises in the financial and economic crisis)

A cikk az informatika és a versenyképesség kapcsolatát vizsgálja. A Budapesti Corvinus Egyetem Versenyképesség Kutatási Programjának korábbi felmérései óta számos új technológia bukkant fel, illetve hazánkat is elérte a világméretű pénzügyi és gazdasági válság hatása. E kihívások tükrében érdemesnek tűnt újra megvizsgálni az információtechnológia (IT) szerepét a versenyképesség alakításában. / === / In this paper the relationship between information technology (IT) and competitiveness is tackled. Since the authors’ previous surveys within their Competitiveness Research Program several new technologies have emerged, and the influence of the word wide financial and economic crisis has reached Hungary as well. In the face of these challenges it is worth reexamining the role of IT in shaping the competitive position of companies. The structure of the paper is as follows. A brief theoretical introduction is provided before their research questionsare presented. After that, the paper contains an analysis on selected fields of the corporate IT function, namely IT infrastructure, IT applications, IT management and IT strategy. Based on this, conclusions are made both at the end of the main parts, and in the final section of the paper. As far as the final conclusions are concerned, the majority of respondents do not regard IT today as a source of sustainable or contestable competitive advantage, though the dominant opinion underlines that IT is a strategic necessity. Besides this, their research results suggest a kind of association between corporate performance and the maturity level of the IT function. However, even the best performing companies are not prepared yet to effectively respond to their own prediction that forecasts the strengthening role of IT as a competitive factor.

Számítástechnikai hulladékok kezelési lehetőségei és gyakorlata Magyarországon (The possibilities and practice of computer waste management)

A szerzők cikkükben a számítástechnikai hulladékokkal foglalkoznak, számítástechnikai eszközök alatt a számítógép konfigurációk összetevőit értik, tehát számítógépeket (asztali, hordozható, terminál stb.), és perifériáit (monitor, nyomtató, cd-író stb.), valamint ezek alkatrészeit és kiegészítőit (chipek, mechanikus részek, festékkazetták stb.). A rendszeres használat környezeti hatásait csak abból a szempontból vizsgálták, hogy ennek során bizonyos alkatrészek, kellékek (kiemelten a nyomtatók festékkazettái) a gépnél nagyobb gyakorisággal cserélődnek, s válhatnak hulladékká. A fő fókusz a számítástechnikai eszközök élettartamának vége, s ebből a szempontból kulcsfogalom a használt személyi számítógép kategória. _____ In their article, the authors discuss the issue of computer waste; under the category of information technology devices they understand the components of computer configurations, that is computers (desktop, portable, terminal etc.) and their peripheries (monitor, printer, CD writer, etc), and also the components and supplements of these (chips, mechanical parts, toner cartridges, etc.). The environmental impact of regular use was examined only from one aspect: during regular use certain components and accessories (especially the toner cartridges of printers) are more often changed and become waste. The main focus is the end of the life time of computer devices, and from this point of view used personal computers are a key concept.

Introduction to data analysis

With the latest development in computer science, multivariate data analysis methods became increasingly popular among economists. Pattern recognition in complex economic data and empirical model construction can be more straightforward with proper application of modern softwares. However, despite the appealing simplicity of some popular software packages, the interpretation of data analysis results requires strong theoretical knowledge. This book aims at combining the development of both theoretical and applicationrelated data analysis knowledge. The text is designed for advanced level studies and assumes acquaintance with elementary statistical terms. After a brief introduction to selected mathematical concepts, the highlighting of selected model features is followed by a practice-oriented introduction to the interpretation of SPSS1 outputs for the described data analysis methods. Learning of data analysis is usually time-consuming and requires efforts, but with tenacity the learning process can bring about a significant improvement of individual data analysis skills.