Search

The selection of suitable individuals for critical roles within the organization can significantly affect the business efficiency and performance of the organization. For this reason, this article presents a multiple-criteria decision-making procedure for candidates' assessment in the Information Technologies industry (IT) using the integrated PIPRECIA-S and WS-PLP methods. The introduced approach involved defining the criteria' significance with the help of the PIPRECIA-S, while the WS-PLP method was used to evaluate candidates and harmonize the views of decision-makers attitudes. The applicability of the suggested technique was reviewed in the situation of selecting an IT Project Manager in an IT company. However, it can easily be adapted for similar cases of candidate selection.

Background: The article presents an MCDM model based on the MEREC and WISP-S methods for pallet truck selection. Purpose: The main purpose of the study was to apply a new MCDM model for pallet truck selection in the textile workshop. Study design/methodology/approach: This article presents a simplified adoption of the Simple Weighted Sum Product (WISP) method, the Simplified WISP (WISP-S) method. The proposed method has fewer computation steps than the regular WISP method. In addition, this study proposes a new hybrid MCDM model in the literature by combining the MEREC method and the WISP-S method. Finding/conclusions: The obtained results can be achieved in a shorter time compared to regular WISP. The application of the new method is considered in this study. In order to check whether the WISP-S method achieves accurate results, the results of the WISP-S method and the results of the ROV and WASPAS methods were compared. As a result of the comparison of the results of the methods, it was observed that the WISP-S method achieved accurate results. Limitations/future research: As a direction for future research, other MCDM models can be applied for solving the same problem. When it comes to the limitations of the proposed model, it can be mentioned that the MCDM model is based on the use of crisp numbers.

In order for the processes of environment protection and improvement in the Republic of Serbia to be more efficient, certain financial investments are necessary. After an introductory overview, the aim of the research was presented, which is to show correlation between costs and tax revenues in the field of environmental protection. The linear regression model and Pearson's correlation coefficient were used for the analyses. The paper presents economic instruments in the field of environmental protection for the period 2009-2018. Data obtained from the National Statistical Office were used. The state of the environment, as well as the goals related to European integration with the opening of Chapter 27, show that the presented data relating to the environment in the Republic of Serbia are very worrying and represent one of the key problems for policy implementation. The obtained results showed that there is a significant degree of correlation (r = 0.887). The current situation indicates that special attention should be paid to this topic, especially in terms of finding mechanisms for providing the necessary financial funds.

The main goal of this work is to identify and analyze the impact of the Chinese economy key determinants on the global market copper price movements. Our research is based on a multilinear regression analysis of the historical data of the time period from 2003 until 2017. The presented multilinear regression model constitutes the 4 (four) statistically most significant macroeconomic variables, that is, determinants of the Chinese economy, which are used for clarifying current trends and can predict the future movements of prices on the global copper market. Statistically significant determinants are the inflation in China, the Chinese export of goods and services, Chinese import of copper, and consumption of refined copper in China. Obtained results of the research show a dominant role of the demand factor and significant influence of the Chinese economy on the movements of the global copper price. At the same time, the results imply that movements of the copper price on the global market can be an indicator of the economic activities slowing down or speeding up, in the countries which are the major traders of this metal.

The main objective of this paper is to emphasize the importance of the involving the Multiple-Criteria Decision-Making (MCDM) methods in the process of the selection of the optimal type of hotel for investment. Besides, the application of the Single-Valued Intuitionistic Fuzzy Numbers (SVIFN) is proposed. The applicability of the proposed approach is demonstrated through real case study directed to the selection of the appropriate type of hotel for investment that should be constructed in the Golija Mountain. Three decision-makers estimated five alternative types of hotels relative to the five evaluation criteria. The obtained results are reliable and representative and confirm that introducing of the appropriate multiplecriteria models minimize the possibility of making wrong decisions.

Underground mining method selection is a very complex task for the mining engineers because the chosen method should fulfill the technical, economic and production requirements. Combining the criteria that cover different aspects of the mining operation and group decision-making increases the reliability of the decisions and minimize its subjectivity. The main objective of this paper is to propose the methodology for the underground mining method selection based on the Extended Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA-E) and group decision making. The applicability of the proposed methodology is demonstrated by using the numerical example inclusive of 3 main criteria, 18 sub-criteria and 5 alternative underground mining methods pointed to the exploitation of the Upper Zone of the Čukaru Peki deposit in Serbia.

The early XXI century is characterized by the development of network economy, in which companies operate within strategic alliances and integrated supply chains, with a focus on end customers. Numerous studies, carried out in the past three decades, have confirmed the rising risk of natural disasters, as well as their frequency and impact on supply chain performance. Such disasters can cause damage to transport infrastructure, supply and production disruption, lower productivity, growth in total costs for companies and their supply chains, as well as reduction in economic growth rate. In this paper types and consequences of natural disasters are presented, with an emphasis on their negative impacts on the supply chain as well as strategies for reducing the vulnerability of modern supply chains to the disasters.

The paper proposes a Multiple-Criteria Decision-Making (MCDM) methods-based approach to assess Learning Management Systems (LMS). The proposed approach includes the objective weighting method MEREC, used to determine the criteria weights, and CRADIS, applied in assessing alternatives and choosing the optimal one. It is revealed that the objectivity degree decreases when the qualitative type of criteria, which strongly depends on the subjective opinion of decision-makers, is used. The proposed approach gave adequate results, confirmed by conducting a sensitivity analysis based on the TOPSIS, ARAS, and MARCOS methods, and by comparing the results with similar research studies. [ABSTRACT FROM AUTHOR]

Copyright of Ekonomika is the property of Society of Economists 'Ekonomika' and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of TEME: Casopis za Društvene Nauke is the property of TEME: Casopis za Drustvene Nauke and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ekonomika is the property of Society of Economists 'Ekonomika' and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)