This study examines the drivers and barriers impacting the adoption and diffusion of artificial intelligence (AI) in public administration. Key drivers, categorized by technological, organizational, environmental, and human factors, are explored as facilitators for effective AI integration. Conversely, significant barriers such as cybersecurity, data privacy, budget constraints, and infrastructural limitations are identified, posing challenges to AI implementation. The study employs an integrated ISM-MICMAC framework to map these drivers and barriers, offering insights into their interdependencies and influence within the public sector. The findings identify key drivers and barriers that must be addressed by strategic initiatives to fully leverage the potential of AI in enhancing public service delivery and administrative efficiency.

Accepted by: M. Zied Babai The challenges of food security, water use, energy consumption and the growing global demand for food raise the importance of ensuring sustainability of the food supply chains (FSCs). Studies in relevant literature discuss the sustainability performances of FSCs generally without distinguishing between the internal and external stakeholders’ concerns or clarifying the existence of greenwashing or bluewashing attempts, jeopardizing true sustainability. This is why modelling towards some holistic treatment of the problem that satisfies those concerns is required. This paper proposes a framework to evaluate the true sustainability performance of FSCs by considering triple bottom line indicators, i.e. economic, environmental and social. In light of the proposed framework, two models have been developed, one calculating the internal and the other an external sustainability score. The presented models can handle interval or ordinal qualitative and quantitative indicators concurrently while considering desirable and undesirable factors. These novel models have been implemented on data from 50 FSCs in Istanbul, using a two-stage imprecise data envelopment analysis with a special multiplier. To facilitate visualization of true sustainability assessment, an internal–external sustainability performance matrix is proposed. Results reveal that the internal sustainability performance of the focal FSCs is better than the external one. The economic dimension predominates in Turkish FSCs’ internal sustainability performance, while the environmental and social dimensions predominate in the external sustainability performance of the FSCs.

The rapid growth in the aviation sector has prompted the industry to act and develop new and sustainable business models due to the greenhouse gases and waste generated inherently by the sector. In this context, this study provides an assessment of identifiable areas and determinants of circular economy in an airline company, considering its environmental impacts. As a result of the assessment, it has been observed that the airline company conducts initiatives in reduction, reuse, and recycling, along with the management of cabin materials and waste segregation. Action plans are in place regarding the reduction, substitution, or elimination of single-use plastics in material selection. In order to mitigate both the environmental and economic impacts of paper consumption, the company is undertaking digitalization efforts within its business processes. The weight of aircraft is a crucial factor in the amount of fuel consumed and the quantity of CO2 emissions released. Therefore, airlines prefer to use lightweight materials inside the aircraft to reduce weight. Plastic catering materials are among these lightweight options. Unfortunately, due to the adverse environmental impacts of plastics, reducing their usage and, if possible, phasing them out are essential measures that airlines need to take. Consequently, the airline company under this study has removed the plastic outer packaging of the packaged materials used in the cabin. Furthermore, it continues its efforts to remove plastic materials used during catering services or replace them with biodegradable alternatives.

Amaç –Bu çalışma; otomotiv sektöründe faaliyet gösteren ve yalın üretim yönetimini uygulayan işletmeler ölçeğinde (yani yalın üretim yönetim modelinin) işgörenverimliliğine etkisini incelemeyi amaçlamaktadır. Bu bağlamda bu çalışmada, yalın üretim yönetim modelini uygulayan imalat sektörü işletmelerinde, yalın üretim uygulamaları ile işgörenverimliği arasındaki ilişkiyi tespit etmek amaçlanmıştır.Yöntem –Çalışmada anket ile yüz yüze görüşme, veri toplama yöntemi olarak benimsenmiştir. Araştırma hipotezlerinden sürekli değişkenler arasındaki ilişkilerin incelenmesini gerektiren hipotezler için yapısal eşitlik modellerinden faydalanılmıştır. İki grup arasındaki farkların incelenmesi amacı ile bağımsız örneklem t-testi, ikiden fazla grup arasındaki farkların incelenmesi için ise Anova testinden faydalanılmıştır. Bulgular –Bu çalışmada; yalın üretim yönetimi boyutlarının tümünün, işgören verimliliğini oluşturan bütün boyutlarla güçlü pozitif ilişkiler gösterdiği ortaya konulmuştur. Başka bir deyişle; araştırma sonucunda yalın üretim yönetimi ile işgörenverimliliği değişkenleri arasında anlamlı ve güçlü ilişkilerin bulunduğu ortaya çıkmıştır.Tartışma –Elde edilen sonuçlara göre işgörenverimliliği, yalın üretim uygulama süresine göre farklılaşmaktadır.