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- Author or Editor: Imre Dobos x
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Abstract
Considering ecological issues in supplier evaluation and management alongside business considerations is getting more recognition among firms. Data envelopment analysis (DEA) is one of those methods, which is frequently suggested by the literature to support management decisions. However, the data requirements of the method should be an important consideration. The literature often addresses the issue of desirable outputs and undesirable input as an important data related problem in case of the ecological use of DEA. This paper will present a new solution to manage these data problems along with connecting the evaluation of management criteria, environmental criteria and total cost aspects. The proposed environmental supplier selection problem is an extension of a former paper. The new model examines the effect of inventory related costs, such as EOQ costs of inventory holding or ordering costs on the selected supplier, extended with newly introduced scaled values of input and output indicators. The usage of scaled values is motivated by the problem of invariance to data alteration. In addition to the uncertainty of the data, the paper looks for a functional relationship between the input and output criterion values and the efficiency that can be assigned to them using DEA.
The theory of economic motion was András Bródy’s main interest. This paper presents a simplifi ed framework of Bródy’s economics. His multi-sector production and price theory is based on the Marxian theory of value reinterpreted by using measurement considerations. Economic motion in this framework is driven by technology represented by the internal proportions of production, not by external shocks. Prices and proportions jointly determine the economic structure and its motion (duality of prices and volumes). We derive the laws of motion of production and use of goods (consumption and accumulation) based on technological accounting balances. These laws determine a cyclical pattern. Using numerical examples we demonstrate how external changes in technology and valuations are propagated in changing the cyclical pattern of motion.
Abstract
Using situation-specific and dyadic data, we analyse how trust in inter-organisational relationships evolve over time. Based on a multidisciplinary approach, we define four trust-related concepts, which include both behavioural and perceptual aspects of this multifaceted phenomenon. We also develop the hypothesis that the behavioural consistency of the trustee affects the level of his/her trustworthiness as perceived by the trustor. To test this hypothesis, the paper specifies a finite Dynamic Trust Game that, in a unique way, models longer-term relationships characterised by interdependent actions between partners. In contrast to the simple Repeated Games modelling discrete exchange episodes, this game corresponds to the requirements of the interaction approach of the relationship management, since the iterations of the game are interrelated and embedded in previous ones.
Timely development of the behavioural variables in the game reflects an inverse U-shape with an increasing willingness to cooperate until round 8, with a maximum cooperation level of 80% on average. Behaviour seems to affect the perceived level of trustworthiness. However, we need additional experimental data on inconsistent behaviours to get a clear understanding of this effect.
Based on a literature review, we develop a research profile that illustrates that survey-based, trustrelated empirical research has severe limitations. It usually carries out general relationship analysis using single end or quasi two-sided sampling and classic statistical constructs. We designed and carried out an empirical research that was highly situational, applied dyadic operationalisation, pairwise sampling, and dyadic data analysis — a special statistical approach and toolset developed by psychologists and used to analyse interdependencies in relationships. Our main contribution is methodological and theoretical since the paper gives a structured overview on the methodological challenges in analysing mutuality in trust, but also in other relational attributes. The paper not only makes these methodological problems explicit, but also offers a potential solution to overcome some of their limitations.
Abstract
The digital economy is increasingly seen as an essential cornerstone in developing national strategies and industrial policies to enhance national competitiveness. On the other hand, a realistic assessment of digital readiness is essential for developing appropriate policies. In our paper, we group the countries of the European Union (EU) using three different methods applied to a dataset consisting of the four main dimensions of the EU's Digital Economy and Society Index (DESI) in order to identify Europe's main geographical “fault lines” in terms of digital readiness. DESI is a composite index aggregating several digitalization-related indicators to benchmark the progress of digital transformation in each member state. However, our methods aim not to rank countries but to identify groups of countries that are close to each other. The three methods used in the paper are partially ordered sets (poset), Tiered Data Envelopment Analysis (TDEA), and cluster analysis, known from multivariate statistics. The three types of clustering show a high degree of similarity, indicating the robustness of the results. Another research question relates to the extent to which the digital development of the EU Member States corresponds to the economic development of the countries and core–periphery relationships. While we can observe a high degree of similarity between the more and less developed clusters in terms of digital readiness and the groups that can be identified in terms of economic development and institutional quality, we also notice some peculiar exceptions (which could provide examples of best practices).
Absztrakt:
Bevezetés: Szervezett nefrológiai ellátás Szombathelyen 1976 óta működik. Célkitűzés: Centrumunkból vesetranszplantációra kerülő betegeink sorsának követése. Módszer: Helyi és országos adatbázisok használata. Eredmények: 1976–2016 között 213 betegünknél 240 vesetranszplantáció történt: hét preemptív és 206 dializált páciensnél. Élődonoros transzplantáció 11 volt. 1976–1995 között 69, 1996–2015 között 163 transzplantáció történt. A transzplantált betegek közül jelenleg is él 122 fő (túlélésük vesepótló kezelésben átlagosan 11,4 év), hétnél az átültetés 1976–1995 között történt. A leghosszabb túlélés 35,1 év volt. A vesepótló kezelésben részesülő betegek prevalenciája megyénkben 2016 végén 1367 fő/egymillió lakos volt – 32,5%-uk beültetett vesével él. Következtetés: Az utóbbi évtizedben transzplantált betegeink száma nőtt, azonban minimális volt az élődonoros átültetés. Orv Hetil. 2017; 158(25): 984–991.
