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The purpose of this paper is to propose a dynamic capabilities framework in cybersecurity (DCCI) and explore its potential to explain organizations’ cybersecurity intelligence (CI). This study aims to develop and empirically test the DCCI framework, which encompasses key dimensions for enhancing CI across various business sectors.

The DCCI framework was designed through an extensive literature review and tested using data from 207 cybersecurity experts across diverse regions. Hierarchical regression analysis was used to examine the contribution of the DCCI framework’s components to CI.

Results indicate a positive association between the “doing” and “improving” dimensions of the DCCI framework and the development of CI. However, the “enabling” and “managing” dimensions did not exhibit a significant contribution to CI. These findings suggest that CI is a multifaceted concept shaped by certain dynamic capabilities within cybersecurity practices.

The DCCI framework introduces a structured approach to developing and enhancing CI, with practical applications for businesses and broader societal contexts aiming to improve cybersecurity strategies and resilience.

This study provides a novel framework for DCCI, offering valuable insights into how specific dynamic capabilities support CI. By addressing gaps in cybersecurity models, the framework adds practical and theoretical dimensions to understanding CI and the evolving needs of cybersecurity.

This study examines situational challenges encountered by transformational leaders that hinder team performance in Brazilian companies, providing insights into the factors affecting optimal team functioning.

In total, 27 decision-makers assessed transformational leadership challenges in various team management scenarios outlined in the literature. The study employed a grey approach as a multi-criteria decision-making model to evaluate the readiness and identification of transformational leadership strategies. The study focused on five challenging situations as decision criteria, leading to a comparative ranking.

Preparation emerged as the most critical criterion for addressing transformational leadership challenges in team environments. Unequal workload distribution, which causes overload for certain team members, was identified as the most pressing issue, making it the most suitable scenario for applying transformational leadership strategies.

The study’s reliance on expert opinions introduces subjectivity, and the focus on Brazilian companies may limit the generalizability of the findings. Future research should explore these challenges in broader contexts, integrating cross-cultural perspectives and objective criteria. Additionally, combining qualitative methods with the grey approach could provide deeper insights into the complex dynamics of transformational leadership and team performance.

This research contributes to the knowledge base by identifying barriers that impact team performance in Brazilian corporate settings. It offers context-specific strategies to enhance teamwork effectiveness and organizational outcomes, supporting leadership development in Brazil.

The purpose of this study is to analyze the systematic relationships among dynamic capabilities in startups’ survival.

This study is based on a systematic literature review on dynamic capabilities related to startups’ survival, following the content analysis approach.

This study presents four different perspectives of analysis about dynamic capabilities from resources exchange and business factors that meet needs of startups' survival. It also points out new area for future research in this field. In doing so, this study differentiates itself by its approach not limiting dynamic capabilities research and enriching entrepreneurs' capability theory.

By indicating an evolution of dynamic capabilities theory among tangible and intangible resources exchange in a more favorable adaptation to startups growth, this study boosters and contributes to the society, economy in general and to the science of business management in various perspectives such as overcoming cognitive barriers, entrepreneur’s commitment, innovation capabilities and knowledge capacity of startups.

This study amplifies dynamic capabilities vision in startups’ survival as one of the main sources for growth in this type of organizations. It also develops a deeper understanding about new avenues for dynamic capabilities theory among tangible and intangible resources exchange.

The authors examined intellectual capital (IC) components, namely human, structural and relational capital, on firm performance (FP) and innovation performance (IP), while also examining the role of knowledge management (KM) in this context.

The authors employed a meta-analysis using 81 studies from 2006 to 2020 using bivariate analysis, meta-analytic structure equation modeling (MASEM) and fuzzy-set qualitative comparative analysis (fsQCA) to study IC components on FP and IP.

The MASEM results show that IC affects positively on FP, but not in a significant level and affects positively and significantly on IP. The findings also reveal that the moderation effect of KM affects positively on FP but not on IP. Additionally, the fsQCA analysis shows that KM and its multidimensional role has a positive impact on FP and IP and has a potential to be consistent as a dynamic component for IC.

The results may be limited by different statistical biases and inverse causality issues or associated with contextualities related to the studies of the sample selected by our criteria.

Managers can identify the appropriate IC elements and act accordingly. The study suggests that mobilizing human, structural, relational and knowledge capital must begin from the firms' birth and continue further during firms' stages of the business.

IC is the bridge of evolution for future societies. Knowing how its components impact all levels of corporate environment indirectly influences how societies build up their social bases and policies to fulfill new professional generations.

By using the MASEM and fsQCA, the authors have more detailed insights into the multidimensional context of KM in IC components on firm and innovation performance identifying configurations of intangible resources.