Suchergebnisse

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.

Industry 4.0 enables intelligent manufacturing that focuses on designing, creating and delivering products and services tailored to individual customer requirements. This industry encourages the integration of various intelligent manufacturing systems and advanced information technologies, such as cyberphysical systems, the Internet of Things and the Internet of Services. The aim of this paper is to prove, on the basis of analysis of selected academic sources and examples from business practice, that Industry 4.0, as a global transformation of production and other business segments based on digitalization and the Internet, increasingly transforms existing supply chains into supply chains 4.0 and affects their business performance. There are three key parts of this paper. The first part presents the conceptual and business framework of Industry 4.0, as well as its dependence on certain digital technologies. The second part points to the business relevance of supply chains 4.0 and the technological conditionality of their adaptation to customer expectations. The last part proves the fact that Industry 4.0 enables the company to be transformed into a digital supply chain (supply chain 4.0) that can successfully respond to changes in the environment.

Human resources, as a sector of great importance for the successful operation of an organization, is always a current topic that needs to be researched and studied. The application of multi-criteria decision-making methods in assessing the importance of factors that have an impact on the selection of candidates in various sectors is one of the ways to improve and make a more authoritative and precise decision. In this paper, a multi-criteria approach based on the PIvot Pairwise Relative Criteria Importance Assessment - PIPRECIA method was applied. A detailed review of the literature defined a list of aspects and corresponding factors that were evaluated by four sectors from each sector by three decision makers, more precisely by the twelfth decision maker. The obtained results are relevant and authoritative, and thus the usefulness and applicability of the proposed approach, in evaluating the mentioned aspects of cognitive skills and their importance, have been unequivocally confirmed. The main goal of this paper is to indicate the usefulness of the application of multicriteria decision-making methods (MCDM) in the implementation of this type of analysis.

Personnel selection for an organization is an extremely important process. Modern organizations strive to improve the process of recruitment and selection of personnel as much as possible, in order to provide the organization with quality personnel and thus long-term competitiveness. In addition, the evaluation criteria on which the recruitment and selection process is based is also important, as it has a large impact on the final selection of candidates. Therefore, the aim of this paper is to propose the application of multi-criteria decision-making methods for the process of determining the weighting coefficients of evaluation criteria. Accordingly, the SWARA (Step-Wise Weight Assessment Ratio Analysis) method for determining weights was applied in the paper. The SWARA method proved to be extremely reliable when it comes to defining the weights of evaluation criteria, primarily due to its simplicity and the fact that respondents and domain experts could easily express their views on the issue.

This manuscript proposes the utilization of the SWOT-SWARA analysis for the prioritization of tourism development strategies. The applicability and simplicity of the proposed analysis is demonstrated by the example of the tourism destination of Sokobanja Spa in the Republic of Serbia. By using the SWOT analysis, three decision-makers defined the key sub-factors and development strategies, after which they performed the prioritization of the SWOT factors, sub-factors and strategies by applying the SWARA method. The final results are indicative of the following order of the proposed development strategies: ST1WT2SO1ST2SO2WO1WO2WT2. Applying the proposed strategies by following the given order will contribute to the improvement and further development of the tourism destination of Sokobanja Spa, which is the main goal of the performed analysis.

The development and increasing use of information and communication technology and the Internet as well, have facilitated access to educational materials and increased the popularity of e-learning courses. The increase in the number of e-learning courses imposes the need for evaluating their quality. As a result, the criteria and procedures for evaluating the quality of e-courses are becoming increasingly important. Therefore, the use of the EDAS method for evaluating the quality of e-courses is discussed in this paper. The four e-courses are assessed against the seven evaluation criteria obtained on the basis of the literature review. The evaluation process is performed in the group decision-making environment with the aim of obtaining more reliable results.