Bu çalışma, örgütlerin temel stratejik kaynaklarından biri olan çalışanların Karanlık Kişilik Özellikleri’nin örgütlerdeki bilgi paylaşma ve bilgi saklama davranışları üzerindeki rolünü incelemeyi amaçlamaktadır. Bu bağlamda araştırma, nitel araştırma yöntemlerinden biri olan vaka analizi yöntemi kullanılarak gerçekleştirilmiştir. Örgütlerdeki bilgi yönetimi sürecinde ortaya çıkan karar ve davranışların yanı sıra özellikle üst düzey yöneticiler başta olmak üzere çalışanların bilgi saklama ve bilgi paylaşmaya ilişkin karar ve davranışlarında Karanlık Kişilik Özellikleri’nin rolü “Facebook-Cambridge Analytica Veri Skandalı”, “Volkswagen Emisyon Skandalı” ve “Enron Yolsuzluk Skandalı” vakaları üzerinden analiz edilmiş ve açıklanmıştır. Birçok alanda hâlâ etkileri devam eden bu üç uluslararası örgütün yaşadığı kurumsal krizlere ilişkin vaka çalışmaları, bilgi yönetimi perspektifinden incelenmiştir. Çalışma bulguları, özellikle üst düzey yöneticiler olmak üzere çalışanların bilgi saklama ve bilgi paylaşma davranışları üzerinde Karanlık Kişilik Özellikleri’nin önemli bir etkisi olduğunu göstermektedir. Bu nedenle makalede elde edilen bulguların, örgütlerin bilgi yönetimi sürecinde Karanlık Kişilik Özellikleri’nin önemini ortaya koyması bakımından literatüre ve uygulamaya katkı sağlaması beklenmektedir.
This study offers a theoretical framework for the digital age of surveillance by reconciling Foucault’s theory of disciplinary power, Weber’s idea of rational bureaucracy and Zuboff’s concept of surveillance capitalism. Moving beyond descriptive accounts, the study introduces the concept of “algorithmic power” to conceptualize contemporary digital surveillance as a form of governance operating at the intersection of discipline, bureaucratic rationality, and data-driven economic processes. The study demonstrates that digital technologies, including artificial intelligence, big data, the Internet of Things (IoT), blockchain, and digital twins, not only collect data but also predict, shape, and assign economic value to individual behavior. In this context, Foucault's model of self-discipline transforms into automated algorithmic control; Weber's rationalization transforms into data-driven bureaucratic governance; and Zuboff's surveillance capitalism provides the economic logic that commodifies behavioral data. By combining classical social theory with contemporary digital infrastructures, this study contributes to the literature by offering an integrated conceptual perspective for understanding how power is restructured in data-driven societies. It also examines the functional dimensions of digital surveillance (such as efficiency, security, and predictive capacity) and its critical consequences, including the erosion of privacy, the ethical uncertainty, and the weakening of individual autonomy.
This study investigates the determinants of fiscal stress in Türkiye’s metropolitan municipalities by employing a budget stress indicator based on the ratio of budget balance to total revenues. This study uses annual panel data spanning from 2009 to 2021 for 19 metropolitan municipalities, incorporating a wide range of economic, fiscal, demographic, and political variables to assess their impact on municipal budgetary performance. The analysis reveals that unemployment rate, net migration rate, and political incumbency are significantly associated with lower budget stress, while population growth, ruling party alignment, and export-to-import ratios increase fiscal pressure. Contrary to expectations, inflation rate, GDP per capita, and central government expenditures within municipalities do not exhibit significant effects. The findings emphasize the complexity of fiscal stress in highly centralized governance systems, where local financial outcomes are influenced by both local dynamics and national-level constraints. By adopting a multidimensional approach, the study contributes to the literature by offering an empirical model that reflects the structural and political realities of Türkiye’s local governments. The results offer valuable insights for policymakers aiming to strengthen fiscal sustainability.
This study empirically analyzes the evolution of supplier concentration and structural dependence in Türkiye’s imports of nitrogenous (HS 3102), phosphatic (HS 3103), and potassic (HS 3104) fertilizers from 2004 to 2023. Using annual bilateral trade data, the study applies a dual methodological framework that combines traditional scalar measures, including the Herfindahl-Hirschman Index (HHI), Entropy Index (EI), and concentration ratios (CR), with complex network analysis metrics to assess supply chain vulnerability. The findings reveal a clear structural divide across product groups. While the nitrogenous fertilizer market underwent a temporary phase of diversification between 2009 and 2016 before reconcentration, the phosphatic and potassic sectors maintained persistently high oligopolistic concentration levels throughout the study period. Network analysis corroborates these scalar indicators, identifying Türkiye as a peripheral, demand-side actor characterized by marked single-sourcing risks in phosphate and potash trade, in contrast to its relatively well-connected importer position linked to core suppliers in the nitrogen network. The study concludes that the high level of import concentration observed in these critical inputs creates significant supply security risks by exposing agricultural input markets to geopolitical and economic shocks. These results underscore the need for policy measures that prioritize supplier diversification and integrate resilience criteria into national food security strategies.
This study examines how wage and employment bargaining in Türkiye has changed amid recent increases in energy costs and what this means for inflation. Using a mix of methods—document analysis of collective agreements, focus groups with union and employer representatives, and small-scale negotiation simulations—it shows that negotiations centre on a tension between “fair share” for workers and “cost pressure/competitiveness” for firms. Under different types of uncertainty, actors combine tactics such as high opening offers, staged raises, one-off payments, and partial indexation into a small set of recurring agreement packages. In energy-intensive sectors, competitiveness and capped indexation are more common, while in services job security and one-off payments linked to no-layoff pledges are more visible. The results suggest that broad indexation can make inflation more persistent, whereas staggered increases and lump-sum payments help protect purchasing power without locking in permanently higher wage levels.
