Purpose: The aim of the study is to investigate whether architectural education has a positive attitude toward entrepreneurship and it encourages to have management skills. The hypothesis is based on the fact that core courses in architectural education have an impact on individuals' entrepreneurial intentions.Design/methodology/approach: The correlation of design, construction and technology courses with entrepreneurship intentions, namely, learning motivation, a motivation on innovation, a progressive attitude and self-efficacy as an outcome, was investigated in senior-year students of architecture enrolled in six universities of Turkey. The data collected were analyzed through the structural equation model, which mainly focuses on the causal relationships between chosen variables.Findings: The initial outcome is that learning motivation, attitude and self-efficacy through design courses have an effect on entrepreneurship. However, contrary to expectations, it was found that innovation does not have an effect on entrepreneurial intention. Furthermore, while innovation, attitude and self-efficacy through construction courses have an impact on entrepreneurial intent, learning motivation does not. Finally, it was revealed that attitude, self-efficacy, innovation and learning motivation affect entrepreneurial intention through technology courses.Originality/value: Entrepreneurship skills are generally considered within the field of interest by business schools. Even though there exist some studies into entrepreneurial architecture education, they are few in numbers, and they usually evaluate the problem mainly through a qualitative research. This study could be regarded as a different research in terms of its traditional perspective, and it investigates the role of entrepreneurial intent in a “technical” discipline such as architecture.

Sınıflandırma problemi araştırmacılar tarafından uzun zamandır incelenen bir konu olmasına rağmen güncelliğini hala korumaktadır. Özellikle görüntü işleme ve hastalık tanısının belirlenmesi problemleri güncel uygulama alanlarından bazılardır. Bu çalışma destek vektör regresyon ve matematiksel programlamaya dayalı yeni bir veri sınıflandırma yöntemi sunmaktadır. Önerilen yöntem iki aşamalı hibrit bir yapıdan oluşmaktadır. İlk aşamada, destek vektör regresyon denklemi ile her bir birim için sınıflandırma skoru elde edilirken ikinci aşamada ise birimlerin sınıflandırma skorları kullanılarak bir matematiksel model yardımıyla sınıflandırma kuralı oluşturulur ve birimlerin sınıflandırılması sağlanır. Önerilen yöntem geleneksel yöntemlere alternatif bir yenilik sunmaktadır. Geleneksel matematiksel programlamaya dayalı yöntemler sınıfları doğrusal bir fonksiyon ile ayırır. Bu durum ise matematiksel programlamaya dayalı algoritmalarının kullanımını kısıtlar. Önerilen yöntem, doğrusal veya doğrusal ayrılamayan veri yapılarının tamamında kullanılabilir olmasının yanı sıra ikiden fazla grup sayısının olduğu problem türlerine de kolaylıkla dönüştürülebilmektedir. Model önce simülasyon ile irdelenmiş sonrasında Elektroensefalograf (EEG) sinyallerinin sınıflandırılması probleminde uygulanmış ve sınıflandırma performansı mevcut yöntemlerle karşılaştırılmıştır. Elde edilen sonuçlar tablolarda verilmiş ve önerilen modelin mevcut algoritmalara alternatif olabileceğini gösterilmiştir.

This study intends to portray how varying degrees of environmental policy stringency and the growing pressure of global competition reflect on high-tech (HT) sectors’ cost rationalization strategies and lead to environmental consequences in 15 G20 countries (1992–2019). Moreover, we center the pattern of cost rationalization management regarding the opportunity cost of ecosystem service consumption and propose to test the fundamental hypothesis stating the possible transmission of competition-induced technological innovations to green economic transformation. Our new methodology estimates quantile-specific effects with MM-QR, while identifying the main interaction effects between regulatory pressure and trade competition uses an extended STIRPAT model. The results reveal a paradoxical finding: despite higher environmental policy stringency and opportunity costs of ecosystem services, HT sectors persistently adopt environmentally detrimental cost-reduction approaches. These findings carry important policy implications: (1) environmental regulations for HT sectors require complementary innovation subsidies, (2) trade agreements should incorporate clean technology transfer clauses, and (3) governments must monitor sectoral emission leakage risks. Our dual machine learning–econometric approach provides policymakers with targeted insights for different emission scenarios, highlighting the need for differentiated strategies across clean and polluting HT subsectors.

Purpose: This study aims to determine the critical success factors (CSFs) for architects in the construction industries of developing countries like Türkiye regarding the effective implementation of Building Information Modelling (BIM) technologies using structural equation modelling (SEM). Design/methodology/approach: A multi-stage methodology is utilized. Firstly, a group of influencing factors for BIM implementation is identified through a systematic literature review, then structured through the Ishikawa diagram and grouped into five categories. A questionnaire addressing these factors is conducted with architects in the Turkish construction industry. Through exploratory factor analysis (EFA), the critical success factors among the influencing factors are identified. Based on the revised factor categories, three distinct driver-centered conceptual models are proposed and tested with SEM to explore direct or indirect relations between those categories. Findings: Of the 14 out of 22 influencing factors that are observed to be critical success factors for architects in the construction industry, which are grouped into four categories: human, technical, financial and environmental. The SEM measurements show that the technical factors-driven model is most explanatory for architects' BIM adoption in Türkiye, influencing financial and environmental factors and indirectly influencing human factors through these paths. Originality/value: The study addresses BIM implementation by focusing on CSFs influential for architects and their pivotal role in transitional periods of construction industries in developing countries like Türkiye. It proposes a conceptual model that elaborates on the internal dynamics between different factor groups in BIM adoption.