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The study examines the impact of emotional intelligence on service innovation capabilities. Furthermore, it explored the mediating role of diversity climate and the moderating role of innovation culture.

An online questionnaire helped to collect data from 257 public sector employees in the United Arab Emirates (UAE). The proposed hypotheses were analysed using structural equation modelling.

Building on the ability model, the study found that employees' emotional intelligence has a positive impact on diversity climate; that diversity climate does not mediate the relationship between emotional intelligence and service innovation capabilities and that innovation culture has a moderating effect between diversity climate and service innovation capabilities.

The paper clarifies the emotional intelligence of the workforce and its ability to influence innovation culture and diversity climate in public organisations, ultimately benefiting service innovation capability research. As such, the study contributes to the literature by proposing and analysing some antecedents of service innovation capabilities in the context of public organisations. The study also offers policymakers information on what prevents innovation, which they can use to raise the bar on service quality requirements in the public sector.

The paper embarks on the development of theory and methodology for managing the sustainable development of machine-building enterprises through the use of quantitative modeling tools. The article proposes an algorithm for estimating the position of an enterprise in its competitive space for sustainable development.

The three dimensions of sustainability (social, economic, environmental) are represented by the equations based on the multiple criteria of sustainability. The three-dimensional space is constructed and the effects of managerial decisions can be quantified in terms of the latter space.

The proposed model is applied in the case of Ukrainian machinery construction company. The effects of introduction of the environmentally friendly business strategy are assessed in the three-dimensional sustainability space. The changes in the level of sustainability can be estimated based on the projected changes in the criteria of sustainability.

The proposed methodology combines expert knowledge, empirical data and quantitative methods in order to quantify the level of sustainability of enterprises. The model can be extended to include additional dimensions and applied to different empirical cases.

The Green Deal strategy of the European Union (EU) as well as the increasing concerns over resource scarcity worldwide has put forward such concepts as the circular economy. This paper seeks to compare the progress of the development of the circular economy across the EU Member States. Such analysis is helpful in guiding the circular economy support policies.

This paper develops a quantitative framework for analysis of the implementation of the circular economy objectives in the EU Member States. The framework proposed includes three multi-criteria decision making methods representing reference point and outranking approaches. The use of multiple methods allows exploiting the differences in the underlying aggregation principles.

Germany, Sweden and the Netherlands appear as the most advanced in the sense of circular economy development. The results indicate that the water-locked small countries and the new EU Member States are among the lowest performing ones. The flows of the waste need to be monitored more tightly in order to increase the circularity. The development of recycling facilities can also increase circularity irrespectively of the economic development level (e.g. the case of Bulgaria).

The paper contributes to the discussion regarding the circular economy by proposing an indicator system and the multi-criteria analysis framework. The proposed indicator system covers input use (circularity), trade flows and recycling processes. The proposed framework can be applied to track the progress of different countries in implementing the targets of the circular economy.

The proposed DHHFLOWLAD is used to design a recommendation system, which aims to provide the most appropriate treatment to the patient under a double hierarchy hesitant fuzzy linguistic environment.

Based on the ordered weighted distance measure and logarithmic aggregation, we first propose a double hierarchy hesitant fuzzy linguistic ordered weighted logarithmic averaging distance (DHHFLOWLAD) measure in this paper.

A case study is presented to illustrate the practicability and efficiency of the proposed approach. The results show that the recommendation system can prioritize TCM treatment plans effectively. Moreover, it can cope with pattern recognition problems efficiently under uncertain information environments.

An expert system is proposed to combat COVID-19 that is an emerging infectious disease causing disruptions globally. Traditional Chinese medicine (TCM) has been proved to relieve symptoms, improve the cure rate, and reduce the death rate in clinical cases of COVID-19.