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pro vyhledávání: '"Yiannis G. Smirlis"'
Autor:
Yiannis G. Smirlis
Publikováno v:
Social Indicators Research. 150:393-410
Composite indicators (CIs) are commonly used for benchmarking of countries over the years, summarizing in a single measurement, complex social, economic, environmental etc. concepts by involving several thematically related sub-indicators. When estim
Autor:
Marilou Ioakimidis, Yiannis G. Smirlis
Publikováno v:
Review of Economic and Business Studies, Vol 12, Iss 2, Pp 79-92 (2019)
The extensive demand for blended learning programs imposes the problem of selecting the most appropriate instructional design from amongst a variety of alternatives that may be feasible for a particular program. The decision-making process should con
Publikováno v:
Maritime Transport Research, Vol 2, Iss, Pp 100018-(2021)
This study focuses on the construction of a composite indicator which is designed to measure the component of economic activity that drives demand for sea transport of dry bulk commodities. Various economic factors are identified and then reduced to
Autor:
Abdulrahem H. Al-Zahrani, Yiannis G. Smirlis, Vangelis Tsioumas, J. B. Alam, Stratos Papadimitriou, Shaher Z. Zahran
Publikováno v:
Maritime Economics & Logistics. 19:518-537
Port authorities (PAs) generate revenues by guiding, coordinating and exploiting their resources, facilities and infrastructure of their ports. In this article, using Data Envelopment Analysis (DEA), we assess and analyze the efficiency of PAs in gen
Publikováno v:
Asian Journal of Shipping and Logistics, Vol 33, Iss 1, Pp 33-41 (2017)
The fast-paced and ever changing freight market compels maritime executives to use sound forecasting tools. This paper aims to enhance the forecasting accuracy of the Baltic Dry Index (BDI) by means of developing a multivariate Vector Autoregressive
Autor:
Yiannis G. Smirlis
The classification and the prediction of efficiencies in Data Envelopment Analysis (DEA) is an important issue, especially in large scale problems or when new units frequently enter the under-assessment set. In this paper, we contribute to the subjec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cb5924ce3c08e98545ed703a97d258f
Publikováno v:
International Journal of Operations Research and Information Systems. 4:36-49
A recent development in data envelopment analysis (DEA) concerns the introduction of a piece-wise linear representation of the virtual inputs and/or outputs as a means to model situations where the marginal value of an output (input) is assumed to di
Publikováno v:
International Journal of Information Technology & Decision Making. 11:893-907
Data envelopment analysis (DEA) is a nonparametric linear programming technique for measuring the relative efficiency of decision making units (DMUs) on the basis of multiple inputs and outputs. DEA assessments, however, are proved to be sensitive to
Publikováno v:
European Journal of Operational Research. 202:604-613
An underlying assumption in DEA is that the weights coupled with the ratio scales of the inputs and outputs imply linear value functions. In this paper, we present a general modeling approach to deal with outputs and/or inputs that are characterized
Publikováno v:
European Journal of Operational Research. 140:24-36
In original data envelopment analysis (DEA) models, inputs and outputs are measured by exact values on a ratio scale. Cooper et al. [Management Science, 45 (1999) 597–607] recently addressed the problem of imprecise data in DEA, in its general form