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Edmundas Kazimieras Zavadskas   Dr.  Institute, Department or Faculty Head 
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Edmundas Kazimieras Zavadskas published an article in January 2019.
Top co-authors See all
T. Rabczuk

172 shared publications

Duy Tan University, Institute of Research & Development, 3 Quang Trung, Danang, Viet Nam

Dalia Streimikiene

128 shared publications

Lithuanian Institute of Agrarian Economics, Vilnius 01113, Lithuania

Shankar Chakraborty

126 shared publications

Department of Production Engineering, Jadavpur University Kolkata, Kolkata, India

Eleonora Bottani

87 shared publications

Department of Engineering and Architecture, University of Parma, Viale delle Scienze 181/A, 43124 Parma, Italy

Nicholas Chileshe

74 shared publications

School of Natural and Built Environments, University of South Australia, Adelaide, SA 5001, Australia

Publication Record
Distribution of Articles published per year 
(2010 - 2019)
Total number of journals
published in
Publications See all
Article 0 Reads 0 Citations A new fuzzy methodology-based structured framework for RAM and risk analysis Dilbagh Panchal, Anupam K. Singh, Prasenjit Chatterjee, Edmu... Published: 01 January 2019
Applied Soft Computing, doi: 10.1016/j.asoc.2018.10.033
DOI See at publisher website
Article 0 Reads 0 Citations Evaluation of the Influencing Factors on Job Satisfaction Based on Combination of PLS-SEM and F-MULTIMOORA Approach Abteen Ijadi Maghsoodi, Iman Azizi-Ari, Zahra Barzegar-Kasan... Published: 28 December 2018
Symmetry, doi: 10.3390/sym11010024
DOI See at publisher website ABS Show/hide abstract
A primary issue that is being discussed nowadays in organizations is continuous improvement of the organization itself, because the procedure of periodic evaluation is an important tool to maintain the improvement of the organization. An essential factor in any organization is the human resources as a key asset to guide organizations to sustain their competitive advantages by employing particular knowledge and skills to form a comprehensive and sustainable human resource management. Evaluation of job satisfaction has become a part of the strategic approach toward incorporating business policies and human resource actions in modern day organizations. The current research study presents a novel hybrid validation framework to evaluate and appraise the factors influencing job satisfaction based on the fuzzy MULTIMOORA approach and partial least-squares path modeling (PLS-PM). The proposed fuzzy MCDM technique and statistical method validate each other to present an optimal assessment of influencing factors in job satisfaction. Eventually, a real-world case study in regard to influential factors in job satisfaction has been suggested in this study, to show that the proposed framework is a practical and accurate method to tackle an assessment problem in a real-world application of influencing factors in job satisfaction in a cross-industrial multi-national construction and geotechnical engineering organization in Iran.
EDITORIAL 0 Reads 0 Citations Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene, Prase... Published: 23 December 2018
Information, doi: 10.3390/info10010004
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Information management is a common paradigm in modern decision-making. A wide range of decision-making techniques have been proposed in the literature to model complex business processes. In this Special Issue, 16 selected and peer-reviewed original research articles contribute to business information management in various current real-world problems by proposing crisp or uncertain multiple-criteria decision-making (MCDM) models and techniques, mostly including multi-attribute decision-making (MADM) approaches in addition to a single paper proposing an interactive multi-objective decision-making (MODM) approach. The papers are mainly concentrated in three application areas: supplier selection and rational order allocation, the evaluation and selection of goods or facilities, and personnel selection/partner selection. A number of new approaches are proposed that are expected to attract great interest from the research community.
Article 0 Reads 0 Citations A Novel Rough Range of Value Method (R-ROV) for Selecting Automatically Guided Vehicles (AGVs) Edmundas Kazimieras Zavadskas, Zdravko Nunić, Željko Stjepan... Published: 19 December 2018
Studies in Informatics and Control, doi: 10.24846/v27i4y201802
DOI See at publisher website
Article 0 Reads 0 Citations Assessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy topsis and trigonomet... Fausto Cavallaro, Edmundas Kazimieras Zavadskas, Dalia Strei... Published: 01 December 2018
Technological Forecasting and Social Change, doi: 10.1016/j.techfore.2018.12.009
DOI See at publisher website
Article 0 Reads 1 Citation Renewable Energy Technology Selection Problem Using Integrated H-SWARA-MULTIMOORA Approach Abteen Ijadi Maghsoodi, Arta Ijadi Maghsoodi, Amir Mosavi, T... Published: 28 November 2018
Sustainability, doi: 10.3390/su10124481
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Due to the adaptation of recent pollution mitigation and justification policies there has been a growing trend for electricity generation from various renewable resources. The selection of the optimal renewable energy technology could be measured as a complex problem due to the complication of forthcoming circumstances in any country. Consequently, the proposed similar complex assessment problem can be tackled with the support of Multiple Attribute Decision Making (MADM) methods. The current research study investigates a technology selection problem by proposing a hybrid MADM approach based on the Step-Wise Weight Assessment Ratio Analysis (SWARA) approach with a hierarchical arrangement combined with the Multi-Objective Optimization on the basis of Ratio Analysis plus the full MULTIplicative form (MULTIMOORA). Ultimately, a conceptual case study regarding the selection of the optimal renewable energy technology based on a conceptual development project in Iran has been examined by the proposed combinative MADM methodology.