Awareness and human factors are becoming ever more important in cybersecurity, particularly in the context of small companies that may need more resources to deal with cybersecurity effectively. This paper introduces a theoretical framework for game analysis of the role of awareness in strategic interactions between the manager and a hacker. A computable approach is proposed based on Bayesian updating to model awareness in a cybersecurity context. The process of gaining awareness considers the manager’s perception of the properties of the hacker’s actions, game history, and common knowledge. The role of awareness in strategy choices and outcomes is analyzed and simulated, providing insights into decision-making processes for managers and highlighting the need to consider probabilistic assessments of threats and the effectiveness of countermeasures. The accuracy of the initial frequencies plays a significant role in the manager’s success, with aligned frequencies leading to optimal results. Inaccurate information on prior frequencies still outperforms complete uncertainty, emphasizing the value of any available intelligence. However, the results suggest that other awareness modeling approaches are necessary to enhance the manager’s agility and adaptiveness when the prior frequencies do not reflect the immediate attacker’s type, indicating the need for improved intelligence about cyber-attacks and examinations of different awareness modeling approaches.

In everyday life, games begin inconspicuously, leaving an individual to stumble upon their assessment of a situation. An unaware individual is unlikely to exhibit strategic behavior in a given situation, which highlights the importance of awareness examination. The purpose of this exploratory analysis is to examine awareness and assessment of a game’s existence at the individual level. That requires examination of respondents’ detection (as an indication of their awareness) and identification (as an indication of their assessment) of game elements in game-like situations and their relation to awareness of the game existence. The empirical data is collected using a scenario technique and is statistically analyzed. The results show that the respondents are, on average, at least partially aware of possibility for strategic interaction (even in vague situations). The revealed regularities point out to the relation of the game elements to game existence belief, but also indicate the presence of psychological biases and information utilization issues. For example, the respondents assign different levels of belief to game existence regarding possible losses or gains. Research limitations involve the use of a small convenience sample and lead to suggestions for results validation in future research. Possible implications of the results are discussed.

As an emergent virtual shared environment, the metaverse offers a novel approach to digital communication. However, its rapid expansion and development raise complex cybersecurity challenges. To address this issue, the goal of this paper is to map the scholarly contributions of cybersecurity within the metaverse through a comprehensive bibliometric analysis and examine trends, gaps, and future research directions. Following the PRISMA guidelines, a broad range of documents is included in the analysis, and a bibliometric software package was used for science mapping. The results reveal a significant increase in publications and citations in recent years, with contributors from across the globe. The analysis of keywords and abstracts reveals core themes and citation analysis identifies the most prominent sources and articles. The thematic analysis identifies the existing and emerging areas of research that remain to be explored in future studies.

The inclusion of emotions in the strategic decision-making research is long overdue. This paper deals with the emotions that human resource managers experience when they participate in a strategic problem-solving event or a strategic planning event. We examine the patterns in the intensity of experienced emotions with regard to event appraisal (from a personal perspective and the organization’s perspective), job satisfaction, and coexistence of emotions. The results reveal that enthusiasm is the most intensely experienced emotion for positively appraised strategic decision-making events, while frustration is the most intensely experienced emotion for negatively appraised problem-solving events, as is disappointment for strategic planning. The distinction between a personal and organizational perspective of the event appraisal reveals differences in experienced emotions, and the intensity of experienced anger is the best indicator of the difference in the event appraisals from the personal and organizational perspective. Both events reveal the variety of involved emotions and the coexistence of—not just various emotions, but also emotions of different dominant valence. The findings indicate that a strategic problem-solving event triggers greater emotional turmoil than a strategic planning event. The paper also discusses theoretical and practical implications.

This systematic search with narrative synthesis examines metaverse business models and their shift toward immersive virtual ecosystems. Following the PRISMA flow for identification and screening to structure transparency, we review 91 publications to map the shift from classical and digital models to metaverse models, highlighting new value propositions, revenue mechanisms, and the integration of VR, AR, and blockchain across the value chain. Our contributions are threefold: we articulate the transition patterns from classical and digital to metaverse business models; we propose a structured metaverse business framework with evaluation dimensions; and we compile a candidate metric set to support comparative analysis. Interpreting the evidence through a socio-technical systems lens, the synthesis indicates an emergent shift in how value is created, delivered, and captured. We identify five core dimensions for assessing metaverse business models: scalability, technological adaptability, user engagement and retention, ethical and sustainability practices, and economic viability as critical dimensions for future comparative analysis of metaverse business models. Building on these findings, we propose a metaverse business framework and a set of candidate KPIs to enable comparative evaluation and guide investment, design, and governance. The paper advances digital transformation theory and outlines a research agenda on dynamic capabilities and the long-term sustainability of metaverse business models.

The applications of social network analysis to the world tourism network are scarce, and a research update is long overdue. The goal of this research is to examine the topology of the world tourism network and to discuss the meaning of its characteristics in light of the current situation. The data used for the analysis comprise 193 target countries, 242 source countries, and 17,022 links, which is an overall 1,448,285,894 travels in 2018. Social network analysis is applied to the data to determine network topological and diffusion properties, as well as the network structure and its regularities (does it behave more as a social or a technological/biological network?). While results presented in this paper give a thorough insight into the world tourism network in the year 2018, they are only a glimpse in comparison to the possibilities for further research.