The main purpose of this paper is to empirically analyse the state of knowledge management (KM) practice in one particular region. In order to access the state of Vojvodina firms regarding the applicability of KM program, the Knowledge Management Diagnostic model was applied. Hypotheses based on the specific integrated set of KM were established and statistically tested on a sample of 190 Vojvodina companies from various industries, government institutions and public enterprises. Survey methodology was used with the aim to gather data about KM practice and other related organizational aspects. Our findings show the extent to which individual steps of KM at the whole sample deviate from the maximum value assigned. This survey provides a foundation for practicing engineering managers to position company and recognize the steps of KM that can be improved in order to achieve strategic value and close the gap between the average and maximum value assigned to each step.

Keeping in mind the fact that organizations in the region of Vojvodina are moving from a negotiated to market economy, this study aims to analyze how the dimensions of collaborative climate affect the various activities of knowledge management. The degree to which collaborative climate influences knowledge work is investigated on 190 participants in the region of the Province of Vojvodina (Serbia). Two standardized questionnaires were used to collect data: a knowledge management questionnaire, which included 32 questions, and a collaborative climate questionnaire of 20 questions. To test the hypothesis of the study, the technique used was descriptive statistics, confirmatory factor analysis, and structural equation modeling. The results show that only the organizational culture as a dimension of collaborative climate contributes to the explanation of all the activities of knowledge management, except the activity of leaving knowledge, which fails to achieve a statistical relationship with any dimension of collaborative climate. This study provides useful insights for practitioners wanting to improve an organization’s performance and to increase organizational sustainability and learning. It is a useful base to expand further research in a way of better understanding the impact that collaborative climate has on the implementation of knowledge management in a transition towards a knowledge economy.

Growing environmental problems and increasing requirements of green jobs force universities around the world not only to transform their curricula but also to enrich existing ones with contents related to the promotion of sustainable development. This paper aims to show the importance of measuring and monitoring the share of green contents in all university activities, as only in that way it is possible to monitor trends and give realistic assessments of their effect and importance. The paper presents a comparative analysis of different types of methodologies for assessing sustainable activities at universities as well as research conducted at the University of Novi Sad in Serbia and its comparison with the University of Gothenburg (Sweden). This research aims to point out the importance of increasing competitiveness in higher education through assessment of green content in a curriculum and its promotion. In this way, through eco-labeling methodology, it would be easier to identify those contents that, in a certain share, contribute to the promotion of sustainable development. Furthermore, this methodology can easily be extended across the country and the region, which would bring positive effects to all stakeholders in higher education.

Background The study background is based on the fact that The Recovery Plan for Europe envisages investing 30% of the huge budget in climate change, with the goal of zero gas emission by 2050. This ambitious plan will require (for now indefinitely) investments in research and innovation. The study’s main objective is to check and analyze the existing and propose a new model of effective investments in eco-innovation. This will contribute to effective long-term investment policy, climate change impact, and mitigation of consequences. Methods The basic methodological tools for solving the problems discussed in this study were correlation analysis, regression analysis, and paired sample t-test. All calculations were performed in the SPSS 20 statistical software. Time series data of the selected indicators were obtained from the European Innovation Scoreboard 2020. The database used to collect the data for the EU member countries and selected third countries for the analysis is the European Innovation Scoreboard 2020. To avoid sample selection bias, the authors considered all of the available data for all the member countries and selected third countries in the European Innovation Scoreboard 2020 for the 2012 to 2019 period. Results The study results show the path developing countries should follow in directing their inevitable and increasing eco-innovation investments, taking into account the arguments of structural differences in financing Research and Development (R&D). The authors’ findings support the thesis that investments in R&D is low in developing countries, while in developed EU countries, there are more investments in R&D from the business sector for the 2012–2019 period. Conclusions Study conclusions are summarized as a proposal of the appropriate R&D financing model approach to developing countries with a greater share of eco-innovation and self-sustainable R&D financing for climate preserving products. This study is important as it provides new evidence on financing R&D investments in innovation leader countries and emerging innovator countries according to Summary Innovation Index.

This research examines the difference in the level of entrepreneurial orientation among university employees within the European Union compared to university employees in non-EU countries. The EU Member States included in the research are the Republic of Slovenia and the Republic of Croatia, and the non-EU countries include the Republic of Serbia, the Republic of Montenegro, the Republic of Bosnia and Herzegovina, and the Republic of Northern Macedonia. In the sample of 1474 respondents, the ENTRE-U scale was used to measure the entrepreneurial orientation of universities, and multivariate analysis of MANOVA variance was used for data processing. The ENTRE-U scale has proven applicable not only to developed countries but also developing countries. Moreover, it proved that being a member of the European Union in this part of Eastern Europe does not significantly affect the entrepreneurial orientation of universities.