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The COVID-19 pandemic is not a foodborne infectious disease, but it has dramatically impacted food safety practices worldwide due to its potential for transmission through contaminated surfaces and food. Accordingly, the Omicron variant seems to have affected food-related activities and behaviours and disturbed food supply networks since its appearance in November 2021. Hence, this paper aims to assess how the Omicron variant impacted food safety knowledge, attitudes and practices amongst adult consumers in five countries: Bosnia and Herzegovina, North Macedonia, Serbia, Montenegro and Russia.

The study is based on an online survey. The questionnaire was developed and revised based on previous research on the impact of previous COVID-19 waves on food-related activities in several countries. The questionnaire was distributed through the SurveyMonkey platform from January 15 to February 25, 2022. It consisted of 29 multiple-choice and one-option questions organised into three sections. A total of 6,483 valid responses were received. Statistical Package for Social Sciences (SPSS) version 25.0 was used to analyse the survey results.

According to the survey findings, food safety practices evolved during the Omicron wave in the studied countries. Firstly, less than half of the sample used a face mask whilst purchasing food. Secondly, regarding food safety knowledge, the survey results suggest that there is still a lack of knowledge in the studied countries. Thirdly, the survey indicates a lack of knowledge amongst the respondents regarding food safety attitudes. For instance, more than a third of the sample (34.4%) are unsure whether the COVID-19 virus can be transmitted through food. These results are surprising and alarming, especially considering that our sample has a higher education than the population of the studied countries.

The main limitation of this research is the sample bias. Survey participants were randomly chosen, enrolled voluntarily and not rewarded. As a result, the questionnaire was self-administered and completed exclusively by people motivated by an interest in the topic. Consequently, our survey does not represent the general population of the studied countries. People with a high degree of education and women, for example, were overrepresented in our sample.

This study is unique in that it is the first to gather information and analyse people’s perceptions of the effects of the Omicron variant on food safety. As a result, the findings of this survey offer a solid basis for future investigations into the impact of the pandemic on food safety in the Balkan region and Russia. This study can help further understand the changes during the COVID-19 pandemic. It provides crucial insights that can be used to guide future decision-making and policy development regarding improving food safety practices. This and other future studies will be a foundation for organisational and government readiness for future shocks, crises and pandemics. The effects of the present Ukrainian conflict on agricultural systems and supply chains throughout the globe (e.g. increased food prices) show that this is timely, urgent and highly required.

The purpose of the research was to determine food consumer behaviour and attitudes towards food consumption and household food waste in Montenegro. Since the period of conducting the research coincided with the expansion of the coronavirus disease 2019 (COVID-19) pandemic in Montenegro (10–14 weeks since its outbreak), the results of this research could indicate the emerging pandemic circumstances.

A total of 529 consumers were surveyed online, and 514 questionnaires met the requirements of further statistical processing. Data were processed by methods of descriptive statistics and chi-square test of association between socio-economic characteristics of respondents and their attitudes, as well as cluster analysis.

The main findings of the research are (1) consumers in Montenegro are quite responsible for the use of food because they throw away a small part, both in quantity and value; (2) Montenegrin households still practice a traditional way of life with frequent preparation and consumption of food at home and use of leftovers; (3) consumers have confusing perceptions regarding date labels of industrially processed foods; (4) during the COVID-19 pandemic, 17.3% of consumers increased and 11.8% decreased the frequency of food purchases, while 20.7% increased and 5.1% decreased food waste.

The work is highly original and, to the best of the authors’ knowledge, there is no other article that analysed the effects of the COVID-19 pandemic on food wastage and food-related behaviours during the outbreak of the pandemic in Montenegro (May–June 2020). Therefore, the work fills a gap in research and knowledge and sets a baseline for future studies.

The paper aims to studiy social recruiting for finding suitable candidates on social networks. The main goal is to develop a methodological approach that would enable preselection of candidates using social network analysis. The research focus is on the automated collection of data using the web scraping method. Based on the information collected from the users' profiles, three clusters of skills and interests are created: technical, empirical and education-based. The identified clusters enable the recruiter to effectively search for suitable candidates.

This paper proposes a new methodological approach for the preselection of candidates based on social network analysis (SNA). The defined methodological approach includes the following phases: Social network selection according to the defined preselection goals; Automatic data collection from the selected social network using the web scraping method; Filtering, processing and statistical analysis of data. Data analysis to identify relevant information for the preselection of candidates using attributes clustering and SNA. Preselection of candidates is based on the information obtained.

It is possible to contribute to candidate preselection in the recruiting process by identifying key categories of skills and interests of candidates. Using a defined methodological approach allows recruiters to identify candidates who possess the skills and interests defined by the search. A defined method automates the verification of the existence, or absence, of a particular category of skills or interests on the profiles of the potential candidates. The primary intention is reflected in the screening and filtering of the skills and interests of potential candidates, which contributes to a more effective preselection process.

A small sample of the participants is present in the preliminary evaluation. A manual revision of the collected skills and interests is conducted. The recruiters should have basic knowledge of the SNA methodology in order to understand its application in the described method. The reliability of the collected data is assessed, because users provide data themselves when filling out their social network profiles.

The presented method could be applied on different social networks, such as GitHub or AngelList for clustering profile skills. For a different social network, only the web scraping instructions would change. This method is composed of mutually independent steps. This means that each step can be implemented differently, without changing the whole process. The results of a pilot project evaluation indicate that the HR experts are interested in the proposed method and that they would be willing to include it in their practice.

The social implication should be the determination of relevant skills and interests during the preselection phase of candidates in the process of social recruitment.

In contrast to previous studies that were discussed in the paper, this paper defines a method for automatic data collection using the web scraper tool. The described method allows the collection of more data in a shorter period. Additionally, it reduces the cost of creating an initial data set by removing the cost of hiring interviewers, questioners and people who collect data from social networks. A completely automated process of data collection from a particular social network stands out from this model from currently available solutions. Considering the method of data collection implemented in this paper, the proposed method provides opportunities to extend the scope of collected data to implicit data, which is not possible using the tools presented in other papers.

This paper aims to discuss relationship management in business-to-business (B2B) ecosystem of electronic media. The goal of this research is twofold. First, the goal is to understand and model the impact of customer relationship management technology adoption on B2B relationships. Second, the authors investigated how trends in e-business and partner relationship management (PRM) affect partner relationship quality in public broadcasting.

This study deals with the impact that relationship capability, relationship fulfillment, operational PRM, analytical PRM, social PRM and readiness to adopt new e-business models produce on relationship quality of a public broadcaster. The research was conducted on a testing sample of 78 participants. All the participants were representatives of the Serbian public broadcaster’s business partners.

Results revealed that relationship capability, analytical and social PRM have a significant impact on relationship quality. In addition to this, the survey suggested that activities such as organizing social events, developing new services, personalization and tailoring of services could improve PRM outcomes.

The results aim to help practitioners to enhance their relationships with stakeholders and maximize the total outcomes of those relationships. Specifically, managers and practitioners doing business in the field of electronic media could benefit from the presented results.

Significance of the paper is reflected in the fact that it analyzes innovative concepts and technologies. Conclusions and recommendations put forward in the paper could serve as a good basis and framework for other public broadcasters, particularly for those from the developing countries.