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This research explores the impact of trust in online information, parasocial interaction, online flow experience, sharing fake news and corporate credibility on companies’ resilience to negative information.

A conceptual research model was developed, employing the flow theory to fill gaps in the literature. A cross-sectional national online survey was conducted among 1,550 respondents aged 16–74 in an emerging market, utilizing a quantitative-based approach; the data were then analyzed using structural equation modeling.

Trust in online information and parasocial interactions was found to impact the online flow experience, with parasocial interaction positively affecting it optimally. The sharing of fake news is affected by parasocial interaction and the online flow experience, which in turn affects corporate credibility.

Corporate credibility is shown to be an antecedent of resilience to negative information and word-of-mouth communication in companies, the former having a direct influence on the latter. The study hence has significant theoretical and managerial implications for communication and marketing.

This paper delves into the discourse surrounding central bank digital currencies (CBDC) from the perspective of citizens’ views expressed on Twitter, on the potential implementation of a digital euro. The paper sheds light on citizens’ sentiments regarding CBDCs in relation to the euro and the euro area.

Using “TextBlob” sentiment analysis, this paper analyzes 4,462 Tweets containing the keywords “cbdc” and “euro” posted between September 14, 2018, and June 19, 2023. It explores citizens’ perceptions and concerns, as well as the general sentiment conveyed by the Tweets, through sentiment analysis and word-cloud generation. Text analysis and the “KMeans algorithm” are used to identify similar groups of Tweets. Statistical analysis of Term Frequency-Inverse Document Frequency (TF-IDF) keyword values in each cluster provides information about the relative distribution of words within clusters. In a further step, sentiment analysis is performed on each cluster by rating it positively, neutrally or negatively to identify the relevant dominant themes.

This paper reveals the evolving nature of CBDC-related discourse on Twitter over a four-year period, demonstrating a slight overall trend of positive sentiments. The distribution includes Tweets with a pronounced negative and positive sentiment, highlighting the need for clear and citizen-friendly communication through social media channels (such as Twitter or LinkedIn) in addition to the traditional channels used by official institutions.

The extraction of Tweets was limited to English; bilingual Tweets containing English words were also considered. Future research could be expanded to include Tweets in additional languages and compare them to English Tweets. Geographical data on the origin of the Tweets were not considered due to potential inaccuracies resulting from the use of VPNs.

The findings highlight citizens’ views, expectations and perceptions on the digital euro as a type of CBDC, suggesting ways in which the European Central Bank (ECB) can ensure customer satisfaction with its successful implementation.

The originality of the article revolves around the focus on the digital euro and on analyzing European citizens’ opinions regarding its implementation. In contrast to previous literature, this research discusses critically the pros and cons and possible design aspects of the new digital euro, by taking a citizen-centric approach and focusing solely on one type of currency. Technological advances and the digital era have left their mark on how society communicates and behaves. The implementation of CBDCs will affect the digital society. Therefore, the paper sparks a debate about European citizens’ sentiments toward adopting the digital euro, as a new digital currency, which will impact their lifestyle and financial decisions.

This study aims to analyze the literature on Generation Z (Gen Z) accessible through Scopus to determine which nations, universities and writers have the highest publication and citation rates on the topic. Together with identifying the most popular keywords and trending topics over the years found in the literature analysis, the study also aims to ascertain the patterns of collaboration among writers and nations.

The researchers searched the Scopus database to collect and assess the literature on the topic. The paper used applications such as Biblioshiny, VosViewer, Python, MS Access, Power BI and Excel to collect, analyze and present the literature.

The analysis shows that authors prefer to use the terms “Gen Z”, “digital natives” and “social media” most often. Findings revealed that the topic is well-researched in different fields of study including social science, computer science, business management, engineering and arts and humanities from the perspective of various world regions such as Europe, America, Australia and Asia. However, the African region was less discussed in the literature, indicating the need for more research covering the context of underdeveloped nations. Moreover, the USA accounts for the greatest proportion of publications produced in cross-border collaboration, especially with China and the UK.

This examination is crucial for academics and researchers, policymakers and businesses seeking insights into the preferences, challenges and opportunities associated with this generation to inform effective strategies and decision-making. Furthermore, by identifying key themes, trends and gaps in the existing literature, this paper can serve as a foundational study for future researchers to select the prospective research topics related to Gen Z.

To the best of the authors’ knowledge, this is the first study that shares a bibliometric analysis of literature published on Gen Z. This paper is an attempt to fill the research gap on the topic and also shares implications for relevant stakeholders and future research directions for prospective researchers.