Current Issue : July-September Volume : 2026 Issue Number : 3 Articles : 5 Articles
The integrated crop- livestock system (ICLS) involves rural households simultaneously engaging in crop cultivation and livestock rearing, embodying the principles of a circular bioeconomy. In this system, crop cultivation produces straw as livestock feed, while livestock rearing generates manure that enriches the soil for crop production. This small- scale circular model enables farmers to efficiently utilise renewable natural resources, such as crop residues and livestock waste, as sustainable alternatives to non- renewable, fossil- based inputs like chemical fertiliser. This paper analyses rice farmers' adoption of ICLS and its impact on fertiliser use using data collected from rural China. This study employs probit two- stage least squares and the endogenous treatment effect model to address the endogeneity of ICLS adoption. The results indicate that ICLS adoption significantly increases expenditure and application frequency of bio- fertiliser, while its impact on chemical fertiliser use is insignificant, though negative. The negative effect of ICLS adoption on chemical fertiliser use is only observed among young farmers. ICLS adoption is correlated with an increase in farm revenue. These findings suggest that reducing chemical fertiliser use and increasing biofertiliser use, facilitated by ICLS adoption, do not compromise food security and contribute to the transition towards a circular bioeconomy....
There is limited research on RASCI matrix and its theoretical and practical value in the today’s business marketing environment. This research explored the role and tasks of the RASCI matrix in improving team efficiency, accountability, business marketing, and communication within SMEs. It is essential to have the robust and structured communication as well as clearly defined roles in SMEs. The author conducted qualitative research with semi-structured interviews with three high profile representatives from two SMEs. This allowed extracting insights and demonstrating a practical application and effectiveness of the RASCI matrix in real-world business environments. The results revealed trends and challenges in SME management, especially around transparent communication and streamlined decision-making processes. Likewise, semi-structured interviews showed the impact of RASCI on business marketing, communication and team dynamics. Interviewees showed levels of improvement in team efficiency and accountability. Besides, they reported signs of resistance while implementing RASCI. The results offer SME management actionable insights for improving team efficiency and accountability through structured role allocation and communication. The author presents a framework for implementing a RASCI Matrix....
The rapid adoption of generative artificial intelligence (AI) systems in organizational environments introduces new and complex challenges in the field of information assurance and cybersecurity. While generative AI technologies, including large language models, provide significant benefits in automation, decision support, and knowledge management, they also create emerging risk vectors related to data confidentiality, integrity, system misuse, and regulatory compliance. This paper aims to examine cybersecurity risks associated with generative AI systems from an organizational perspective, with a particular focus on trust, governance, and cybersecurity risk management. The study is based on a structured review of recent academic literature, industry reports, and regulatory frameworks addressing AI security and information assurance. Key threat categories are identified, including prompt injection attacks, unauthorized data disclosure, model manipulation, lack of transparency, and limited auditability of AI-driven systems. The analysis highlights how these risks affect organizational decision-making, accountability, and compliance with data protection regulations. Based on the findings, the paper proposes a conceptual framework for managing cybersecurity risks of generative AI systems that integrates technical safeguards, organizational policies, and compliance mechanisms. The framework emphasizes the transition from reactive detection toward trust-oriented governance and continuous risk monitoring. The paper concludes by outlining future research directions focused on empirical validation of generative AI security controls and their effectiveness in strengthening organizational information assurance....
Based on the Marxist theory of productive forces, this paper analyzes the internal mechanism of cultivating new-quality talents—defined in this study as professionals who possess advanced digital literacy, cross-disciplinary innovation capabilities, and complex problem-solving competencies required by the digital- intelligent transformation of the equipment manufacturing industry— through the integration of industry and education empowered by digital intelligence. The innovation of digital and intelligent means of labor inevitably requires new-quality talents, as core workers, to reshape their capabilities. The alliance promotes the dialectical unity of the three elements of productive forces through technological empowerment, mechanism integration, and capability reshaping. In response to the current predicaments such as the failure of factor synergy, the lag in the supply of means of labor, the weakness of the “double-qualified” teacher team, and the lag in evaluation, this paper proposes a four-in-one practical approach of “mechanism innovation—resource optimization— teacher team building—teaching reform”, providing a systematic solution for vocational education to empower new productive forces....
The article examines the structural limitations of push-type inventory management systems as an integral property of decision architecture under conditions of high environmental variability, stochastic lead times, and fragmented distribution networks. The analysis is based on a comparative review of contemporary studies addressing safety stocks, the bullwhip effect, buffer parameterization, production–inventory planning, and warehouse centralization strategies. It is shown that isolated optimization of order quantity or service level does not ensure system stability and leads to reproducible trade-offs between holding costs, stockout probability, and flow throughput. The study argues that the primary source of instability lies in the forecast-centric decision sequence “inventory- production-distribution,” which amplifies sensitivity to demand dispersion and temporal deviations. It is demonstrated that increasing safety stocks performs a function of local fluctuation compensation while simultaneously scaling systemic imbalances when misaligned with production capacities and replenishment lead times. Particular attention is given to distribution architecture and the risk-pooling effect, indicating that centralization reduces variability amplitude without eliminating its forecast-driven nature, whereas signalbuffer and pull logics enhance flow adaptability but do not guarantee the removal of structural constraints. It is shown that managerial stability is determined by the coherence of informational, resource, and spatial contours rather than by the precision of individual parameters. The article may be useful for researchers of logistics systems, supply chain management professionals, and developers of inventory planning models under uncertainty....
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