László Duma
Corvinus University of Budapest
14 Papers
34 Citations
László Duma is an academic researcher from Corvinus University of Budapest. The author has contributed to research in topics: Supply chain & Bridge (interpersonal). The author has an hindex of 4, co-authored 13 publications. Previous affiliations of László Duma include Budapest University of Technology and Economics.
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Papers
Exploring the influence of scientific journal ranking on publication performance in the Hungarian social sciences: the case of law and economics
TL;DR: Using a case study of the Economic and Law Department of the Hungarian Academy of Sciences, it is found that domestic rankings greatly distort researchers’ publication preferences, contrary to the importance of international journal rankings.
•Journal Article
The measurement of the performance of freight transportation
TL;DR: In this paper, the authors analyse the role and use of the traditional transportation measurement, namely the freight tonne kilometre, and argue that this measurement has some limitations to assess properly the real transportation work, and not to characterise the importance of transport modes.
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Impact of ICT Based Education on the Information Society
László Duma,Eszter Monda +1 more
- 01 Jan 2013
TL;DR: This work analysed the possible future impacts of widespread ICT tools in education by applying the Futures Wheel method and highlighted two: the aspect of physical, mental and social existence and that of knowledge-searching and sharing.
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•Journal Article
Management-concept and quality-strategic elements of transport-logistic services
TL;DR: In this article, it is indicated how important the development and implementation of quality systems are for the transport-logistic service providers, and it can be stated that ISO 9002 system standard is the right solution, however, it requires significant professional efforts to adapt this standard because of the special characteristics of transportlogistic services.
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The Groundless Use of Linearity in Daily Thinking and Decision-making
TL;DR: This paper shows the common cases where the authors often make linear mistakes, and for which I can give illustrations drawn from scientific publications or everyday examples, in terms of its groundless use.