Sürdürülebilir Kalkınma Amaçları
Yayınlar
- Kitap BölümüYalnız künye2026A Policy-Aligned Integrated Index Framework for Environmental Impact Assessment Monitoring and Reporting Using the Best Worst Method
Şimşek, Aybala; Şimşek, Ahmet Bahadır
Environmental Impact Assessment generates growing volumes of monitoring data, yet reporting still tends to treat indicators as separate signals rather than parts of a coherent evaluative structure. This chapter responds to that gap by developing a policy-aligned integrated index for monitoring and reporting in EIA. The proposed framework links environmental indicators to ESG themes, SDG targets, and European Green Deal priorities, then uses the Best Worst Method to derive transparent and defensible weights. Rather than presenting the index as a substitute for detailed evidence, the chapter treats it as a structured synthesis that can clarify how monitoring results relate to policy commitments and reporting needs. An illustrative application shows how the framework can organise indicators, support interpretation, and remain sensitive to alternative weighting choices. The chapter concludes by outlining the practical value and limits of using integrated indices in EIA contexts.
- Kitap BölümüYalnız künye2026Prioritising Digital Talent Initiatives in Universities: Evidence From Turkey
Şimşek, Tuğçe; Şimşek, Aybala; Şimşek, Ahmet Bahadır
Universities are under growing pressure to advance digital transformation, yet priorities in digital talent management often remain unclear. This chapter develops a document-based multi-criteria decision framework to identify and compare such priorities across universities of different institutional scale in Türkiye. Drawing on public strategic plans, quality reports, distance education documentation, and staff development texts from Anadolu, Sakarya, and Tarsus Universities, the study constructs a decision matrix covering three initiatives and six evaluation criteria. Criterion weights are calculated through entropy, and initiative rankings are generated with TOPSIS. The findings show that digital infrastructure support has the strongest discriminating power. Strengthening distance education and LMS infrastructure emerges as the top priority, followed by a needs-based in-service training system and a digital competence development programme. The chapter offers a transparent and transferable framework for setting scale-sensitive digital transformation priorities in higher education.
- Kitap BölümüYalnız künye2026Control Tower-Driven Multi-Echelon Inventory Positioning in Pharmaceutical Supply Chains
Şimşek, Ahmet Bahadır; Şimşek, Aybala
Pharmaceutical supply chains face high shortage risk when demand uncertainty interacts with lead-time variability, while shelf-life limits, cold-chain requirements, and quality-release delays raise the cost of both stockouts and excess inventory. This chapter proposes a control tower–driven decision-support framework for multi-echelon inventory positioning that converts visibility into actionable policies. A multi-echelon optimization module generates candidate target-stock and reorder policies across manufacturing and distribution echelons. Monte Carlo–based scenario analysis tests robustness under demand, lead-time, and disruption uncertainty. An MCDA layer then ranks policies using total cost, service level, shortage probability, expediting intensity, days of supply, and recovery time, with sensitivity analysis when weights are uncertain. The framework provides a signal-to-decision map, event-triggered policy updates, and a compact metric dictionary for shortage-risk management without proprietary field data.
- MakaleYayıncıda açık erişim2026A data-driven decision-support framework for prioritizing retention interventions among high attrition-risk employee segments
Şimşek, Tuğçe; Şimşek, Aybala
Predicting employee attrition risk provides a useful signal for human resource decision-making. However, this signal alone does not determine which employee groups should be targeted first for retention interventions. This study develops a data-driven decision-support framework for prioritizing retention interventions among employees at risk of attrition. The framework uses the IBM HR Analytics Employee Attrition and Performance dataset and integrates calibrated machine learning, SHAP-based explanatory analysis, Entropy-CRITIC weighting, and PROMETHEE II ranking. Machine-learning models were first used to estimate employee-level attrition probabilities. These probabilities were then aggregated into segments defined by combinations of Department, JobRole, and OverTime, from which the high-risk segment pool was identified for multi-criteria analysis. Eight high-risk segments were detected. The segment ranked first by PROMETHEE II was not the segment with the highest attrition risk, indicating that intervention priority and attrition risk represent distinct decision outputs. Sensitivity analyses further showed that the segment-ranking structure remained stable under alternative weight-shift and threshold scenarios. The proposed framework is therefore not intended to identify individual employees at risk; rather, it supports transparent, auditable, and ethically compliant segment-level retention decisions.
- Kitap BölümüYalnız künye2025Managing information asymmetry and conflicting interests in multi stakeholder sustainable supply chains using multi-criteria decision analysis
Şimşek, Ahmet Bahadir; Şimşek, Aybala
This chapter focuses on the challenges which information asymmetry and conflicts of interest present to multi- stakeholder sustainable supply chain design and suggests the use of MCDA to address these challenges. It looks at the ways information imbalances and divergent stakeholder priorities hamper cooperation and sustainability objectives to produce trust problems and ineffectiveness. These challenges are outlined in the chapter using theoretical underpinnings such as Game Theory and Akerlof's Market of Lemons. Next, it illustrates the MCDA's role in dealing with these problems (transparency, balancing conflicting interests and making the decision in an inclusive way). The practical application of MCDA is illustrated via a hypothetical green supply chain project that demonstrates the ability of diverse stakeholder priorities to be harmonised through systematic criteria evaluation and consensus building. The chapter concludes with a discussion of MCDA's potential for integrating environmental, social and economic goals in optimal decision making in complex supply chains.