In a world where use of technology is not an option but a necessity, where new forms of work appear constantly, where change is everywhere and people must keep their distance from each other due to the pandemic, organizations must adapt and use new processes governed by using new technologies. In a sustainable environment, e-recruitment and non-financial compensations become the new tools to maintain performance and lower costs during a pandemic. Using bibliometric analysis, regression function, and correlation matrix, the authors obtained results for Romania and the top three countries, which indicated that e-recruitment is influenced by the use of the internet and availability of computers and productivity; the relations and the correlation between the analyzed variables are measured using simulation and mathematical modeling. The results indicate that there are benefits for individuals, for organizations, and also for environmental protection.

During the last decade, researchers put a lot of effort into the development of the multi-criteria decision methods (MCDM) capable of dealing with the uncertainty and vagueness of the initial information. MCDM approaches that work under the environment of the interval-valued neutrosophic sets (IVNS) demonstrate credibility for the analysis of different opinions as well as for the inconsistency of the criteria evaluation data. The novel multicriteria decision-making approach MULTIMOORA-IVNS (multi-objective optimisation by ratio analysis under interval-valued neutrosophic sets) is presented in this paper. A novel heuristic evaluation methodology HEBIN (heuristic evaluation based on interval numbers) that exploits MULTIMOORA-IVNS for the processing of the evaluation results is also presented in this research. HEBIN is able to increase the accuracy of the checklists-based heuristic evaluation and to diminish the impact of the inconsistencies caused by the evaluators. A comparison of six e-commerce websites is introduced to reveal the practicalities of the proposed multicriteria decision-making application.

The research within this paper is motivated by the opinion that different organizational factors in primary education can have a stronger or weaker impact on the quality of the learning outcome. Organizational factors, criteria analyzed in this paper, are school management, school infrastructure, students’ foreknowledge, teacher competencies, curriculum content, student motivation, and the quality of the teaching process. Using SWARA (Step-wise Weight Assessment Ratio Analysis) method of multi-criteria decision-making, the answers of elementary school principals, members of the panel of experts, were processed. The calculation within this method was performed using fuzzy numbers to ensure the reliability of expert evaluations. The results of the applied method, in the form of weighting coefficients of the criteria, indicate that school management has an influence on the selection and building of teachers’ competencies while the given competence can indirectly affect the overall success of students through the establishment of an adequate school infrastructure, which affects the knowledge quality. Knowing the factor that has the highest impact enables principals to manage this factor and contribute to enhancing the knowledge quality. This research contributes to raising awareness of the importance of particular organizational factors in elementary education and the need to improve them.