Business Management

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  ARTIFICIAL INTELLIGENCE APPLICATION IN HUMAN RESOURCES MANAGEMENT

  In the contemporary landscape marked by the pervasive influence of artificial intelligence (AI), technological innovations continue to reshape conventional practices across various domains. Within the realm of human resources management, the intricate process of decision-making has long posed challenges in terms of analytical elucidation. However, ... In the contemporary landscape marked by the pervasive influence of artificial intelligence (AI), technological innovations continue to reshape conventional practices across various domains. Within the realm of human resources management, the intricate process of decision-making has long posed challenges in terms of analytical elucidation. However, the advent of AI technologies has ushered in a new era, offering unprecedented opportunities to augment and refine HR administration practices. This paper delves into the transformative potential of AI applications within human resources management, shedding light on how diverse AI modalities, including narrow and general AI, are revolutionizing traditional approaches. Through a comprehensive review of literature sourced from esteemed databases such as Scopus and Google Scholar, this study identifies key advancements poised to drive future research endeavors. Beyond the realm of recruitment, AI presents a myriad of possibilities spanning talent acquisition, employee training and development, performance assessment, compensation management, engagement initiatives, and even employee well-being programs. The synergy between human capabilities and AI integration emerges as a cornerstone for achieving enhanced outcomes, often serving as a determinant for competitive advantage within organizations while also impacting broader societal dynamics. By exploring the symbiotic relationship between human ingenuity and AI capabilities, this research seeks to elucidate the pathways through which AI-driven innovations can foster organizational excellence and societal progress.

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  ANALYSIS OF FINANCIAL PERFORMANCE INDICATORS IN RELATION TO GENDER DIVERSITY IN TOP MANAGEMENT TEAMS OF SMALL AND MEDIUM-SIZED ENTERPRISES

  This study examines the impact of gender diversity in top management on the financial performance of small and medium-sized enterprises (SMEs) in the Czech Republic. We focus on two sectors: manufacturing and information and communication technologies. Financial performance is assessed using the return on assets (ROA) and return on equity (ROE) ... This study examines the impact of gender diversity in top management on the financial performance of small and medium-sized enterprises (SMEs) in the Czech Republic. We focus on two sectors: manufacturing and information and communication technologies. Financial performance is assessed using the return on assets (ROA) and return on equity (ROE) ratios. Data for 396 entities were obtained from the Czech Statistical Office and the ARES database. The results show that gender diversity in top management has a positive impact on return on assets (ROA). However, no impact on return on equity (ROE) was found. These results suggest that gender-diverse leadership can lead to more efficient use of company assets, although it may not have a direct impact on profitability for investors. This research contributes to the existing literature on gender diversity and corporate performance. It offers valuable insights for managers and policymakers on the potential benefits of inclusive leadership for the prosperity of SMEs in the Czech Republic.

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  SCIENTIFIC MAPPING OF BUSINESS INTELLIGENCE AND ENTERPRISE RESOURCE PLANNING FROM 2003 TO 2022

  The changes in global markets have represented an important challenge for firms, therefore the integration of strategic processes, the efficiency of operations, the management of information and the knowledge generated, have been the basis for incorporating advanced management tools in the era of digitalization. In this sense, business ... The changes in global markets have represented an important challenge for firms, therefore the integration of strategic processes, the efficiency of operations, the management of information and the knowledge generated, have been the basis for incorporating advanced management tools in the era of digitalization. In this sense, business intelligence (BI) and enterprise resource planning (ERP) systems are two topics that have become widespread and researched in recent years. The present study aims at the conceptual analysis of ERP-BI topics with information collected from the web of science database from 2003 to 2022, identifying the most representative approaches and quantifying the main bibliometric indicators with the support of an open access technological tool SciMAT. The results show a growing trend of publications related to the incorporation of business systems and their conceptual relationships to sustainable development, knowledge management (KM), big data, among others. This study highlights the growth of research on BI and ERP systems, integrating organizational processes and generating knowledge based on valuable information for decision making with a positive impact on productivity and innovative strategy