In recent years, Artificial Intelligence (AI) has reshaped workplace dynamics, influencing leadership, employee engagement, productivity, and talent retention. This paper examines the key role of positive leadership in enhancing engagement, boosting productivity, and supporting talent retention in the AI-driven work environment. Positive leadership—defined by trust, empowerment, and optimism—emerges as essential for managing the challenges of increased human-machine collaboration. By reviewing empirical studies and theoretical frameworks, this research explores how leaders can create a culture of engagement, increase productivity, and retain talent by leveraging AI to complement, rather than replace, human abilities. Additionally, the paper addresses shifting employee expectations for leadership in AI-enhanced workplaces and offers insights into aligning leadership practices with technological progress. The study concludes with practical implications for businesses aiming to succeed in the AI era and suggestions for future research.

A company’s competitive advantage largely depends on the longevity and quality of its customer relationships, making it essential to understand which tools best support these interactions. In particular, identifying the factors that shape the impact of Customer Relationship Management (CRM) systems on business performance is crucial. This study examines the influence of CRM on the business performance of Portuguese companies by employing a conceptual model structured around five dimensions: customer-centric management (CCM), CRM organization (CRMO), operational CRM (OCRM), customer service quality (CSQ), and technological turbulence (TT). Data were gathered via a questionnaire completed by employees of Portuguese firms using CRM systems, yielding a total of 228 valid responses. Of the nine hypotheses tested, eight were confirmed. The results indicate that CRM organization (CRMO) exerts the strongest positive influence on business performance (0.457), followed by customer service quality (CSQ), operational CRM (OCRM), and customer-centric management (CCM). The study also confirms that technological turbulence (TT) moderates the relationship between the CRM dimensions and business performance. These findings suggest that the proposed model is well-suited to the context of Portuguese SMEs and provide valuable insights for managers aiming to enhance competitiveness through the strategic use of CRM systems. Additionally, the results offer a relevant contribution to the academic literature on CRM and business performance.

The use of Artificial Intelligence (AI) and Machine Learning (ML) in strategies for talent retention and leadership development is revolutionizing contemporary organizational management. This paper examines how AI and ML contribute to enhancing leadership capabilities and boosting employee retention through predictive analytics, personalized learning pathways, and performance optimization. By analyzing key trends and frameworks, the study demonstrates how data-driven insights are reshaping talent management practices, addressing challenges in retaining top performers and strengthening leadership pipelines. Combining theoretical and practical perspectives, the research provides a roadmap for AI-driven human resource strategies while considering their impact on organizational culture, decision-making processes, and long-term performance. The paper concludes with a discussion on limitations, ethical considerations, and directions for future research to fully leverage the potential of AI and ML in organizations.

Gamification has become a widely adopted strategy in business environments, aimed at enhancing engagement, motivation, and performance. However, the design and reception of gamified systems are significantly influenced by cultural contexts. This paper explores cross-cultural perspectives on gamification in business, examining how cultural differences shape the development, implementation, and effectiveness of gamified strategies. Drawing on Hofstede's cultural dimensions theory and other cross-cultural frameworks, this research investigates how values, social norms, and motivational drivers vary across cultures and impact the adoption of gamification in diverse business settings. Through case studies and comparative analysis, the paper highlights key factors that should be considered in designing culturally sensitive gamification systems to optimize user engagement and organizational outcomes. The findings provide valuable insights for businesses aiming to implement gamification strategies in global and multicultural environments.