Yazar "Aladag, Omer Faruk" seçeneğine göre listele
Listeleniyor 1 - 4 / 4
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Gender Equality, Governance and National Innovation Capability for Sustainable Development: Cross-National Machine Learning Evidence(Wiley, 2026) Erdem-Aladag, Tugba; Aladag, Omer Faruk; Koseoglu, Mehmet AliThis study examines how gender equality and governance conditions relate to national innovation capability, using an exploratory machine-learning approach on cross-national panel data. Gender equality is widely recognized as a human right and a core Sustainable Development Goal (SDG 5), yet its association with country-level innovation capability remains insufficiently mapped in sustainability-oriented innovation research. To address this gap, we compile a harmonized dataset for 109 countries (2007-2019) from the Global Innovation Index, the Worldwide Governance Indicators, UNDP gender indicators, and World Bank development controls. We conceptualize innovation as national innovation capability and operationalize it using the GII score, a composite index that combines innovation inputs and outputs. Across decision-tree and ensemble models, governance quality emerges as consistently informative for predicting innovation capability. Gender equality indicators also display substantial predictive relevance, indicating that inclusion-related conditions are systematically associated with cross-country variation in innovation capability. The findings contribute to sustainability science and innovation policy by clarifying how gender equality and institutional quality jointly map onto innovation capability while maintaining an exploratory, non-causal interpretation of model outputs.Öğe How Does CEO Duality Influence ESG Scores in Hospitality and Tourism Companies? Confounding Roles of Governance Mechanisms and Financial Indicators(Sage Publications Inc, 2025) Arici, Hasan Evrim; Aladag, Omer Faruk; Koseoglu, Mehmet AliPrevious studies have yielded inconsistent results about the impact of CEO duality on corporate performance in the hospitality and tourism (H&T) industry. To further delve into this relationship, we investigated the causal relationship between CEO duality and environmental, social, and governance (ESG) performance under various board characteristics and financial indicators. The data from the Thomson Reuters Eikon database were evaluated using a machine learning technique that included targeted maximum likelihood estimation (TMLE), augmented inverse probability weighting (AIPW), and neural network analysis, all of which are doubly robust estimators with cross-fitting. The findings suggest that CEO duality negatively impacts environmental pillar scores but not other outcomes (i.e., governance and social pillar scores). Among the governance practices and financial indicators, policy executive compensation performance, policy executive compensation ESG performance, and return on invested capital (ROIC) have positive relations with total ESG scores. The results have important ramifications for helping H&T companies develop effective boards of directors and governance systems, as well as achieve targeted ESG performance objectives.Öğe Intellectual connections in mission statements scholarship: a future research agenda(Emerald Group Publishing Ltd, 2024) Aladag, Omer Faruk; Koseoglu, Mehmet AliPurposeThis study aims to explore the intellectual connections of mission statement research to identify the influential domains of source knowledge and emergent areas of research for future studies. Design/methodology/approachThe authors deployed bibliometric methods, namely, citation, co-citation and network analysis. The authors collected data from the Scopus and Web of Science databases and analyzed the connections of the most influential articles. FindingsThe authors identified four knowledge domains that informed the mission statements literature: guidance on mission statement development, the value of mission statements, mission statements and organizational issues, mission statement content and communication. And the authors spotted four opportunities for knowledge advancement based on theoretical frameworks, performance measures, content and context. Practical implicationsPractitioners should think beyond the immediate benefits of mission statements, such as performance and legitimacy improvement. Instead, they should focus on long-term benefits, information advantages and democratizing the development phase of mission statements. Originality/valueMission statements have attracted scholarly attention over the past 40 years. Despite the formation of a considerable body of knowledge, intellectual connections of mission statement research have been largely neglected. Previous studies had a narrow focus or insufficient coverage of the literature. To the best of the authors' knowledge, this is the first full-scale bibliometric study on the intellectual connections of the mission statements literature.Öğe Machine Learning Analysis of Global Innovation Index Enablers: Regional Variations and Covid-19 Effects(Springer, 2026) Koseoglu, Mehmet Ali; Arici, Hasan Evrim; Aladag, Omer FarukDrawing on the national innovation systems (NIS) perspective, this study uses the Global Innovation Index (GII) as an integrated measure of countries’ innovation capabilities and outcomes to examine how different innovation enablers jointly shape innovation performance. Using GII data for 2013–2022, we apply ensemble machine learning algorithms to analyze how the GII input and output dimensions, treated as NIS elements, predict overall GII scores. Countries are grouped into five subsamples (all countries, G20, European countries, all countries during the COVID-19 period, and low-income countries) to capture contextual variation in innovation systems. The results show that innovation performance is driven not by single factors but by context-specific combinations of enablers. Research and development and creative/intangible outputs form a powerful configuration for most countries, whereas information and communication technologies, credit availability and innovation linkages become particularly salient during COVID-19. In low-income countries, tertiary education and creative outputs emerge as a distinctive configuration associated with higher innovation performance. These findings demonstrate that the relative importance and effective combinations of NIS elements vary systematically across country groups and over time. By mapping these patterns, the study advances NIS research methodologically and substantively, showing how machine learning can uncover non-linear, context-dependent configurations of innovation enablers and informing tailored policy interventions for different country groups. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2026.
