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Showing 3 results for Institutions

Azizan Ramli, Siti Noraishah Ismail, Tofan Agung Eka Prasetya, Herman Bagus Dwicahyo, Cendana Fitrahanjani,
Volume 0, Issue 0 (10-2024)
Abstract

While traditional production planning focused on optimizing supply-demand balance through make-to-stock/make-to-order strategies and capacity management, the new imperative of carbon neutrality introduces critical complexities. Regulatory emission caps now require manufacturers to strategically trade carbon allowances, fundamentally transforming the challenges of production optimization. This study developed an aggregate production planning model that incorporates carbon trading constraints into operational decision-making, providing industries with a systematic approach to address both economic and environmental objectives. The model optimized multi-period production plans across alternative technologies, each with distinct cost-emission profiles, while incorporating subcontracting options. It simultaneously considered government-allocated emission permits, dynamic carbon market prices, technology-specific costs and emissions, and subcontracting expenses. Through mathematical optimization of production quantities, subcontracting levels, and carbon credit transactions, the model minimized total costs while ensuring compliance. Computational experiments with nonlinear programming solved via LINGO demonstrated the model's effectiveness in identifying optimal technology deployment strategies that achieve significant cost reductions while meeting environmental targets, offering manufacturers a powerful tool for sustainable operations in carbon-constrained markets.

Mohamed Hadi Al Najdawi, Zainab Al Ghurabli, Raghda Raafat, Ahmad Aburayya,
Volume 0, Issue 0 (10-2024)
Abstract

This study addresses the lack of defined legislative frameworks governing artificial intelligence (AI) use in logistical support within public institutions, which leads to organizational and technological inefficiencies. Its primary objective is to examine the legal regulation of AI in this domain and evaluate the current framework, aiming to maximize efficiency while ensuring accountability and transparency. The research employs a quantitative survey methodology, collecting data via questionnaires from relevant stakeholders (the study community). Key findings reveal that the absence of specific AI regulations hinders operational effectiveness and necessitates interdisciplinary collaboration between legal and technological domains for sustainable AI implementation. The research concludes that establishing a comprehensive, adaptable regulatory framework, accounting for technological advancements and both local and global contexts, is essential. Its core contribution is the proposal for collaborative development between legal policymakers and technology experts to establish integrated rules that foster innovation while safeguarding user rights.
Raghda Raafat, Mohamed Hadi Al Najdawi , Ahmad Aburayya, Zainab Al Ghurabli,
Volume 0, Issue 0 (10-2024)
Abstract

This study investigates the role of administrative governance mechanisms in enhancing institutional integrity and transparency while reducing administrative corruption in public institutions. Employing a quantitative analytical approach, primary data were collected through a structured questionnaire distributed to 50 respondents across oversight bodies, inspection departments, and academic experts in Jordan, yielding a 90% response rate (n = 45). The analysis, based on descriptive and inferential statistics (Ka² tests, α = 0.05), demonstrated that the application of governance principles, particularly transparency, accountability, and administrative oversight, was significantly associated with improved institutional performance and a measurable decline in perceived corruption. Specifically, the study found that respondents largely agreed (mean = 4.04; SD = 1.10) on the effectiveness of regulatory and legal frameworks in combating corruption, while 88% supported the role of continuous monitoring in promoting integrity. Sensitivity analyses confirmed the robustness of these relationships across stakeholder categories. From the findings, a major standing for the immediate modernization of legal-administrative frameworks, training for governance implementation, and institutionalization of oversight mechanisms emerges. Concluding that administrative governance is vital to institutional integrity and sustainability, this study's contribution lies in filling the gap by providing an evidence-based argument pertinent to anti-corruption policies, legal reforms, and modernizing the public sector within developing contexts.


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