Search Results (1,876)

Under wartime conditions, conceptual approaches to organizing the education system are changing, and the means of achieving goals are being modified. All of this affects the development of infrastructural provision for the educational network and simultaneously requires adequate management. The state, as the main subject of social management, employs management theory and practice of competent (professional) business leadership. This approach not only allows it to survive but also to develop in the objectively existing competitive environment. It has been determined that the main elements of educational management (EM) organization include the quality of intellectual resources, analysis of internal and external environments, analysis, selection and implementation of educational system (ES) development strategies and evaluation and control of their execution. Attention is focused on forming an ecologically oriented society through the lens of knowledge transfer, with a focus on the irrational use of natural resources across various spheres of human activity, energy resource deficits, and sustainable development tasks in Ukraine. A central place in this process is assigned to organizing project activities and to forming an ecologically oriented worldview among future specialists trained by educational institutions at various levels and forms of ownership. The analysis of educational management (EM) models shows that the project-investment model remains relevant. Trends in quantitative indicators of EM and ecological projects in Eastern European countries have been analyzed, based on which conclusions have been formulated that reflect the current state of ecological education development and demonstrate existing changes, challenges, and prospects. A visualized flowchart of optimizing the organization of higher education through the prism of an environmentally friendly society has been developed, with four blocks highlighted: methodological, organizational, analytical, and resultant. It has been determined that knowledge transfer from universities to communities should become a priority in the state’s post-war reconstruction, ensuring the socio-economic development of regions, including strengthening Ukraine’s energy independence. The practical significance of the obtained results lies in developing recommendations for implementing the integration of educational management (new functions) and project activities in educational institutions, which can be used when forming their development strategies, establishing international partnerships in the educational sphere, as well as for developing state programs to support the development of Ukraine’s economic, ecological, and social policy. Full article

Corporate social responsibility (CSR) has increasingly become a strategic and governance-relevant domain that depends on internal capability development to translate stakeholder and sustainability expectations into credible action. In emerging economies, higher education institutions (HEIs) are key arenas where future managers and intrapreneurs acquire human-capital foundations relevant to CSR-related strategy implementation. This exploratory study examines whether students’ self-reported transformational leadership (TL) is associated with entrepreneurial competencies (EC) that are relevant for responsible value creation and stakeholder-oriented execution. Using a quantitative, cross-sectional correlational design, we surveyed 207 senior undergraduate students from business-related programs in a private HEI in Peru. TL was measured using the MLQ-5X (transformational subscale), and EC were assessed through a content-validated and reliability-tested eight-dimension scale (networking, problem solving, achievement orientation, risk taking, teamwork, creativity, autonomy, and initiative). Given distributional characteristics, Spearman’s rho was used for hypothesis testing. Because the design was intentionally limited to first-order associations, no control variables or multivariate models were incorporated. Results show a strong, positive association between TL and overall EC (ρ = 0.822, p < 0.001), with statistically significant positive relationships across all EC dimensions (ρ = 0.709–0.807). These findings are consistent with a microfoundational view of CSR, indicating that leadership-related developmental behaviors are systematically aligned with competence bundles that may support CSR-related strategy enactment under stakeholder complexity and sustainability constraints. The study does not measure CSR outcomes or CSR communication directly; rather, it provides capability-level evidence with implications for HEI curricula and leadership development aimed at preparing graduates for responsible innovation and stakeholder-sensitive decision-making in emerging-economy contexts. Full article

As an evaluation framework that systematically assesses a company’s environmental performance, social responsibility, and corporate governance, as a critical measure for evaluating corporate sustainable development, ESG performance exhibits unique and distinctive features within agribusiness firms. This study develops and analyzes several hypotheses using mediation and moderation effect models to empirically investigate the processes and effects of ESG performance on accrual-based earnings management using a sample of Chinese A-share agriculture-related listed businesses from 2009 to 2024. The results show a strongly inverse relationship between accrual-based earnings management and ESG performance in companies involved in agriculture. Additionally, by easing financial limitations, ESG performance has inhibited efforts on earnings management. The inhibitory effect of ESG performance on earnings management is more pronounced among agribusinesses subject to intensive media coverage, but significantly weaker among those with strong internal control quality. In order to maximize ESG practices, control financial behavior, and develop pertinent regulatory laws, this research offers agriculture-related businesses both theoretical and practical insights. Full article

Inclusive growth has increasingly emerged as a central framework for understanding how firms can align economic performance with social inclusion and environmental responsibility, particularly in emerging markets characterized by institutional volatility. In the context of geopolitical shocks and economic sanctions, such as those faced by Russia during 2022–2023, the normative meaning of inclusive growth is redefined toward prioritizing employment stability, industrial continuity, and strategic resilience at the firm level. This study aims to develop a systematic and transparent firm-level measure of inclusive growth that integrates strategic resilience with long-term business model potential. It further seeks to empirically assess cross-firm heterogeneity in inclusive growth performance within the Russian metallurgical and mining sector under geopolitical disruption conditions. This study constructs a composite Inclusive Growth Index using publicly available financial and non-financial disclosures, combining indicator normalization, variance-based weighting, and geometric aggregation. The index is applied to a panel of major Russian metallurgical and mining companies for the period 2021–2024 to evaluate their strategic resilience, business model potential, and industry-level dynamics under sanctions. The results reveal substantial heterogeneity in inclusive growth performance across firms, with higher index values being associated with stronger strategic resilience and more stable operational outcomes. The analysis further identifies a divergence between improving resilience and declining business model potential during 2022–2024, indicating a trade-off between short-term stabilization and long-term inclusive growth capabilities under the geopolitical stress. The findings suggest that inclusive growth at the firm level in a sanctioned emerging market context follows a distinct sovereignty-oriented logic in which employment stability and operational continuity take precedence over long-term innovation and governance enhancement. Overall, the proposed Inclusive Growth Index provides a robust analytical framework for assessing corporate adaptation to structural shocks and informing managerial and policy decisions in emerging market economies. Full article

The cosmetic industry represents a major sector of the global economy and is expected to significantly grow in the coming years. To enhance consumer acceptance and address increasing sustainability concerns, cosmetic companies are actively seeking innovative solutions to mitigate their environmental, economic, and social impacts. In accordance with this, several scientific studies focus on the development, scale-up, and life cycle assessment of sustainable cosmetic products, especially those derived from side streams in accordance with circular economy principles. Various reviews have addressed this topic; however, they typically cover one or two of these dimensions, providing only a partial perspective. In particular, existing studies mainly analyze the types of side streams used and the resulting products, often lacking a comprehensive framework that can effectively support the translation of these approaches into industrial-scale production. The aim of the present review is to address this gap by providing a comprehensive analysis of the maturity level of development, scale-up processes, and life cycle assessment of cosmetic products based on agro-industrial side streams. This analysis is intended to support companies in the transition towards more sustainable practices by reducing carbon footprint and limiting the intensive extraction of virgin raw materials. The different approaches and methodologies proposed for the development and scale-up of sustainable cosmetic products from agro-industrial side streams are also analyzed, considering whether life cycle assessment has been performed. Furthermore, the most suitable business models will be selected as innovative and sustainable value chains capable of generating economic benefits, fostering local development, and enhancing resource efficiency and supply security. Full article

Small and Medium-sized Enterprises (SMEs) are central to the industrial fabric of Sub-Saharan Africa (SSA). Yet, they confront increasing demands to implement sustainability practices originating from institutional contexts markedly different from their own. Existing research has tended to neglect the cultural and institutional negotiations inherent in this process, often framing sustainability adoption as a technical or compliance-oriented exercise rather than as a multifaceted cultural adaptation. This study proposes and empirically examines the concept of sustainability acculturation—the process by which firms align global sustainability norms with local business cultures. Drawing on Institutional Theory, the Resource-Based View, and Berry’s Acculturation Model, we present a context-specific framework, tested using a sequential explanatory mixed-methods approach: survey data from 284 manufacturing SMEs across six SSA countries, followed by 24 semi-structured interviews. Structural equation modeling reveals that international market pressure and owner–manager values are direct drivers, whereas local regulatory pressure exhibits only a weak association with deep cultural integration. Managerial commitment and organizational learning mediate these relationships, while Ubuntu values enhance social sustainability integration, and institutional voids diminish regulatory effectiveness. The model accounts for 57% of the variance in sustainability acculturation. Findings show that SSA SMEs employ distinct acculturation strategies—Integration, Assimilation, Resilient Adaptation, and Decoupling—shaped by the interplay of external pressures, internal capabilities, and contextual conditions. The study underscores the importance of culturally attuned, context-specific interventions for sustainable industrial development in SSA. Full article

Artificial intelligence has become one of the major driving forces for business change in the modern business world. This study focuses on the link between marketing strategies, such as social media marketing and content marketing, and business sustainability, and on the role of artificial intelligence as a mediator for SMEs in Nablus. This research used a survey design based on 373 employees working for SMEs mainly based in Nablus. This research used exploratory and confirmatory factor analyses to validate the measurement model, and structural equation modeling and SPSS v.25 PROCESS macro analysis to verify the proposed relationships. This research found that marketing strategies positively link to business sustainability; the strongest direct link was found for content marketing. Artificial intelligence also significantly mediated the relationships between social media marketing and content marketing and business sustainability. This research highlights the importance of incorporating artificial intelligence into marketing strategies to improve the effectiveness of marketing strategies and support decisions for enhancing business sustainability for SMEs in emerging economies. Full article

Despite strong evidence that gender-diverse leadership improves organizational innovation and performance, women remain underrepresented in leadership pipelines worldwide, particularly in Asia. While prior research largely examines the outcomes of gender diversity at the firm level, far less is known about the psychological and social factors that shape women’s leadership aspirations in the first place. Addressing this gap, this study applies Social Cognitive Career Theory (SCCT) to explain how contextual support and developmental experiences influence women’s leadership aspirations in a collectivist business environment. Using survey data from 400 adult women in Indonesia and structural equation modelling, the study examines how parental involvement shapes personal mastery, how personal mastery strengthens leadership self-efficacy, and how self-efficacy, role models, and perceived leadership traits jointly predict leadership aspiration. The findings show that parental involvement indirectly contributes to leadership aspiration through personal mastery and self-efficacy, while role models and leadership traits also play significant roles. Among all predictors, self-efficacy emerges as the strongest driver of women’s leadership aspiration. This study makes three contributions. First, it extends SCCT beyond traditional STEM career research into the domain of leadership aspiration. Second, it provides rare empirical evidence from a collectivist Asian context, highlighting the role of family and social environment in shaping women’s leadership pathways. Third, it shifts the focus of gender diversity research from representation outcomes to the formation of the female leadership pipeline, offering actionable insight for educators, families, and organizations seeking to foster future women leaders. Full article

Business-to-consumer (B2C) e-commerce firms operate in fast-changing digital markets, where timely interpretation of external signals may strengthen organisational agility. This study examines how four dimensions of competitive intelligence—market, technological, social, and competitor intelligence—relate to organisational agility in Croatian B2C e-commerce firms. The study adopted a pragmatic explanatory sequential mixed-methods design. Quantitative data were collected through an online survey, and 208 valid responses were analysed using reliability testing, construct-validity assessment, correlation analysis, and multiple regression. Qualitative follow-up evidence was used to support the interpretation of the quantitative results. The findings show that the effects of competitive intelligence dimensions on organisational agility are not uniform. In the final validated model, social intelligence emerged as the only significant positive predictor of organisational agility, while market intelligence, technological intelligence, and competitor intelligence did not show statistically significant effects. The study therefore suggests that, in this context, systematic attention to customer conversations, online feedback, and socially visible market signals may play a more decisive role in supporting agile organisational responses than other intelligence domains. The study contributes to the competitive intelligence and agility literature by showing that intelligence dimensions should be examined separately rather than treated as a single undifferentiated capability in digital commerce settings. Full article

While the quantum emergence of spacetime is becoming a major research topic in physics, the quantum emergence of intelligence has not been widely researched in quantum information science (QIS). Following causal-logical quantum gravity theory, bipolar entropy vs. entropy and negative entropy (or negentropy) are reviewed and distinguished for quantum emergence/submergence of quantum agent (QA) and quantum intelligence (QI) in algebraic terms. This work refers to QA as an entangled bipolar string/superstring in bipolar dynamic equilibrium (BDE) and QI being centered on logically definable causality in regularity, mind-light-matter unity, and brain-universe similarity. ER = EPR is extended to ER ≥≥ EPR for the mathematical scalability of bipolar strings and their collective entanglement. The extension leads to a number of conjectures, testable predictions, and theorems. The term “equilibraton” is proposed as a type of EPR or bipolar generic string to serve as an entropic stitch to collectively hold the universe together as a quantum entanglement in BDE with ubiquitous, regulated local emergence and submergence of QA&QI. Equilibraton leads to the concept of bipolar entropy square—a complete entropic solution to the background issue in quantum gravity. With complete background independence, energy/information conservational bipolar entropy, energy/information invariance, bipolar entropy non-additivity, and equilibrium-based plateau concavity are introduced. The nature of the one-dimensional arrow of time is conjectured. As a unification of order and disorder for equilibrium-based regulation, bipolar entropy bridges QA&QI to agentic AI, where quantum-bio-economics can be viewed as a topological intervention of a natural dynamic equilibrium in a social or natural world. Use cases are reviewed to illustrate the practical and theoretical aspects of bipolar entropy in business management, quantum-bio-economics, quantum cryptography, physics, and biology. Eddington–Einstein’s comments on entropy are revisited. It is expected that bipolar entropy will bring quantum emergence/submergence to agentic AI&QI for entangled machine thinking and imagination as a naturally scalable and testable foundation of real-world quantum gravity, quantum information science (QIS), quantum cognition and quantum biology (QCQB) to enhance Large Language AI Models (LLMs) and machine intelligence. Full article

The corporate social responsibility (CSR) approach from a managerial point of view has become a topic of interest especially in the European ex-Communist countries. This paper explores the intentions of Romanian managers of small and medium-sized enterprises and multinational corporations operating in Romania to implement corporate socially responsible practices (CSRPs). To this end, a quantitative research methodology based on an online survey was employed, and partial least squares structural equation modeling was used to analyze the data. The results show that the research model based on the Theory of Planned Behavior (TPB) has been validated. The values of composite reliability and Cronbach’s alpha exceed 0.7, the value of average variance extracted exceeds 0.5, while the values of average block variance inflation factor and average full collinearity are below 3.3. The findings also indicate that the intention of managers to integrate CSRP within their business organizations is mostly influenced by the stakeholder pressure, suggesting that the attainment of social approval is a crucial driver of responsible behavior, rather than other constructs related to the TPB. The study concludes that while negative attitudes towards CSR do not significantly affect managers’ intentions to engage in CSRP, positive attitudes exert a favorable influence. Full article

This study investigates how a network’s structural and relational capabilities condition the influence of social CRM capabilities on innovation novelty, highlighting a deeper network paradox. Drawing on survey evidence from social enterprises, the analyses indicate that social CRM capabilities meaningfully contribute to the generation of novel innovations. Yet the two network capabilities move in opposite directions: structural capability amplifies the innovative gains derived from social CRM, whereas relational capability tends to dilute them. These divergent effects reflect the simultaneous pull of structural-hole and network-closure mechanisms within the same organizational setting. The results suggest that organizations aiming to translate social CRM investments into innovation may benefit more from structurally expansive network positions than from tightly embedded relational ties. Future work could employ longitudinal and cross-institutional designs to strengthen causal insight and broaden the study’s applicability. Full article

Across the globe, companies are facing significant pressure to reduce waste, improve resource efficiency, and report their sustainability efforts transparently. ESG frameworks have become essential tools for sustainability transformation. However, traditional business models, based on a linear “take–make–dispose” approach, continue to dominate industries, limiting the impact of ESG efforts. The circular economy offers a compelling alternative: it encourages designing products for reuse, recycling, and regeneration, thus aligning closely with ESG principles. When businesses transition to circular models, they reduce their environmental footprint, create new green jobs and social inclusion opportunities, and strengthen accountability across business value chains. This study explores how selected firms in the mining, energy, consumer cyclical, technology, and healthcare sectors are aligning circular principles with ESG practices. Using a longitudinal, multi-sector comparative analysis of ESG indicators spanning 2014–2024, the research examines sector-level ESG evolution, firm-level ESG leadership, and the alignment of ESG performance with circular business model pathways. Rather than directly measuring circular transformation, ESG indicators are interpreted as signals of emerging circular business model pathways. This study identifies ESG-based ways and enabling conditions through which circularity may be increasingly embedded across different sectors. Full article

This study comprehensively reviews the literature on knowledge management (KM) to explain its impact on organizational performance and business sustainability. It examines the dominant KM frameworks and theories; performance and sustainability outcomes; and key contextual enablers and constraints across sectors. Following the PRISMA 2020 guidelines (Preferred Reporting Items for Systematic Reviews and Meta-Analysis), a systematic review was used to find and collect relevant empirical and theoretical studies through Google Scholar, Scopus, and Web of Science. Thematic descriptive analysis of articles published between January 2020 and January 2026 revealed major themes, research trends, and conceptual gaps, which informed the key research agenda. A total of 70 studies were included after screening and eligibility assessment. The findings indicate that KM consistently enhances innovation capability and operational efficiency to boost competitive advantage and support social, economic, and environmental outcomes. These relationships are largely mediated by organizational learning and innovation, especially green innovation, and are moderated by leadership, organizational culture, and technological integration. Adoption patterns vary across industries and sectors based on differences in resources, digital maturity, and regulatory environments. Ongoing challenges include resistance to change, difficulties in managing tacit knowledge, measurement limitations, and limited longitudinal and cross-sectoral research. Overall, this systematic review highlights the need for integrated KM frameworks that align leadership, culture, and technology to strengthen performance and sustainability outcomes. It advances KM theory by clarifying the dominant models and mechanisms to offer actionable insights for managers and policymakers. Full article

The contemporary green transformation of the economy is a strategic imperative for businesses, especially small and medium-sized enterprises (SMEs) operating in the energy market, forcing the integration of sustainable practices in decision-making processes, including investment efficiency assessment. Classic financial tools, such as the internal rate of return (IRR) and net present value (NPV), commonly used in the SME sector, do not always adequately account for environmental, regulatory, and social risks associated with green transformation, as—particularly in the case of IRR—they rely on the assumption of stable cash flows and do not incorporate regulatory uncertainty, environmental externalities, or ESG-related risks into discounting parameters. The aim of the study was to determine the impact of nominal and real discount rates, adjusted for a synthetic measure of green transformation, on investment decisions. The research methodology combines advanced multi-criteria decision-making techniques, specifically TOPSIS and CRITIC, with sustainable finance concepts, offering an innovative approach to investment decision-making in the SME sector. The study shows that integrating environmental factors, when treated as a risk component, increases the cost of capital and reduces the net present value, while maintaining the profitability of the analysed projects. Incorporating green components into the discount rate enhances valuation appropriateness and improves investment risk management, particularly under macroeconomic uncertainty. The main contribution of the study lies in linking a synthetic green transformation indicator with dynamic discount rate adjustment within a multicriteria framework, extending existing ESG-adjusted valuation models by enabling a more structured and data-driven incorporation of environmental transition risk. Full article