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Ethical leadership and management of small- and medium-sized enterprises : the role of AI in decision making
Tjaša Štrukelj, Petya Dankova, 2025, original scientific article

Abstract: The integration of artificial intelligence (AI) within the decision-making processes of small- and medium-sized enterprises (SMEs) presents both significant opportunities and substan- tial ethical challenges. The aim of this paper is to provide a theoretical model depicting the interdependence of organisational decision-making levels and decision-making styles, with an emphasis on exploring the role of AI in organisations’ decision making, based on selected process dimension of the MER model of integral governance and management, particularly in relation to routine, analytical, and intuitive decision-making capabilities. The research methodology employs a comprehensive qualitative analysis of the scientific literature published between 2010 and 2024, focusing on AI implementation in SMEs, ethi- cal decision making in integral management, and regulatory frameworks governing AI use in business contexts. The findings reveal that AI technologies influence decision making across business policy, strategic, tactical, and operative management levels, with distinct implications for intuitive, analytical, and routine decision-making approaches. The analysis demonstrates that while AI can enhance data processing capabilities and reduce human biases, it presents significant challenges for normative–ethical decision making, requiring human judgment and stakeholder consideration. We conclude that effective AI integration in SMEs requires a balanced approach where AI primarily serves as a tool for data collection and analysis rather than as an autonomous decision maker. These insights contribute to the discourse on responsible AI implementation in SMEs and provide practical guidance for leaders navigating the complex interplay between (non)technological capabilities, ethical considerations, and regulatory requirements in the evolving business landscape.
Keywords: MER model of integral governance and management, strategic management, management process, intuitive decision making, responsible leadership, small- and medium-sized enterprises (SMEs), artificial intelligence (AI), AI regulatory frameworks, analytical decision making, routine decision making
Published in DKUM: 15.07.2025; Views: 0; Downloads: 11
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Heteroatom-synergistic effect on anchoring polysulfides In chalcone-linked nanographene covalent organic frameworks for high-performance Li─S batteries
Kayaramkodath C. Ranjeesh, Bharathkumar H. Javaregowda, Safa Gaber, Preeti Bhauriyal, Sushil Kumar, Tina Škorjanc, Matjaž Finšgar, Thomas Heine, Kothandam Krishnamoorthy, Dinesh Shetty, 2025, original scientific article

Abstract: Lithium-sulfur (Li─S) batteries are an attractive option for future energy storage devices because they offer higher theoretical specific capacity, energy density, and cost-effectiveness than commercial lithium-ion batteries. However, the practical applications of Li─S batteries are significantly limited by the shuttle effect caused by intermediate lithium polysulfides (LiPSs) and slow redox kinetics. In this study, the molecular engineering of chalcone-linked, sp2-bonded nanographene-type covalent organic frameworks (COFs) as sulfur hosts is reported to enhance interactions with LiPSs, thereby effectively suppressing the shuttle effect. The developed sulfur-hosting cathode material demonstrated outstanding battery performance, surpassing most reported materials by achieving a specific capacity of 1228 mA h g−1 at 0.5C, with 80% retention after 500 cycles and an average Coulombic Efficiency (C.E.) of 99%. Additionally, the mechanisms of sulfur immobilization, the subsequent conversion into lithium polysulfides (LiPSs), and their binding energies with COFs are investigated using density functional theory (DFT) calculations. These findings offer valuable insights into the structure-property relationships essential for developing more efficient sulfur-hosting cathodes.
Keywords: covalent organic frameworks, lithium-sulfur battery, nanographene, anion-pi interaction, polysulﬁde shuttle
Published in DKUM: 17.03.2025; Views: 0; Downloads: 1
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Hybrid membrane materials with different metal-organic frameworks (MOFs) for gas separation
Anja Car, Črtomir Stropnik, Klaus-Viktor Peinemann, 2006, other scientific articles

Keywords: membranes, metal organic frameworks, MOF, properties, gas separation
Published in DKUM: 31.05.2012; Views: 2167; Downloads: 114
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