Ankara Haci Bayram Veli University, shortened AHBV, is a public university in Turkey which was formed on 18 May 2018 by the separation from Gazi University. Some faculties which have been separated from Gazi University in accordance with the law no 7141 such as Gazi University Faculty of Law, Faculty of Economics and Administrative Sciences, Faculty of Letters have been become a part of newly established Ankara Haci Bayram Veli University. The Besevler Campus is located in the city center of Ankara, the capital city of Turkey. Besevler Campus, which has the Faculty of Law and Faculty of Economics and Administrative Sciences, has graduated many famous people who are active in Turkish politics. Kemal Kilicdaroglu of the Republican People's Party, the leader of the main opposition party in the Turkish Grand National Assembly, and Devlet Bahceli, the leader of the Nationalist Movement Party, have graduated from the aforementioned Faculty of Economics and Administrative Sciences..
PurposeThis study examines the impact of transactive memory systems, conceptualized as organizational knowledge-based systems, on network capability and firm performance, with a focus on the mediating role of technology adaptive capability. To achieve this, the study integrates transactive memory systems, relational view, and dynamic capabilities.Design/methodology/approachData collected from 935 firms operating in T & uuml;rkiye were analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS 4 to assess the measurement model, test the structural relationships, and evaluate both explanatory power and predictive relevance.FindingsThe findings indicate that transactive memory systems have a direct positive effect on network capability, technology adaptive capability, and firm performance. Network capability positively influences technology adaptive capability and firm performance, while technology adaptive capability strongly enhances firm performance. Furthermore, network capability and technology adaptive capability both individually and sequentially mediate the relationship between transactive memory systems and firm performance, highlighting their critical role in translating collective knowledge into adaptive capabilities that improve organizational outcomes.Originality/valueThis study is one of the first to conceptualize transactive memory systems as an organizational knowledge-based system and to test its effect on firm performance through network capability and technology adaptive capability within a multi-level model.
This study investigates the super intense geomagnetic storm of 10-11 May 2024, during which the Dst index reached -412 nT, marking the most severe event of the last two decades. An artificial neural network (ANN) model was developed to estimate the geomagnetic storm indices Dst, Kp, and ap using hourly solar wind parameters (Bz, E, P, N, and V) obtained from the OMNI database. The model successfully reproduced the rapid and nonlinear variations observed during the main phase of the storm. The correlation coefficients (R) between observed and estimated values were 99.5%, 98.8%, and 99.1% for Dst, Kp, and ap, respectively. The corresponding mean square error (RMSE) values were 5.9 nT for Dst, 4.2 for Kp, and 2.1 nT for ap. Despite the extreme geomagnetic disturbance conditions, the ANN architecture maintained high estimative stability and accuracy, particularly during the sharp Dst decrease associated with southward Bz excursions. These results demonstrate that ANN-based approaches can effectively model the nonlinear dynamics of superstorms and provide a reliable complementary tool for forecasting extreme geomagnetic events.
Purpose Knowledge sharing is important for small and medium-sized businesses (SMEs) to stay alive and competitive, especially in resource-constrained and hierarchical settings. This study aims to examine how abusive supervision impairs knowledge sharing in SMEs and investigates whether employees’ learning orientation can mitigate this negative effect. Drawing on social exchange theory, conservation of resources theory and and cognitive appraisal theory, the study explores the mediating role of emotional exhaustion and the moderating effect of learning orientation. Design/methodology/approach Data were collected from 316 employees working in manufacturing SMEs in Türkiye.This study employed a moderated mediation analysis using covariance-based structural equation modeling via SPSS AMOS 29 to test the hypothesized relationships among abusive supervision, emotional exhaustion, learning orientation and knowledge sharing. Findings The results reveal that abusive supervision negatively predicts knowledge sharing. Emotional exhaustion mediates this relationship, indicating that employees under abusive supervision experience higher emotional exhaustion, which in turn hinders their willingness to share knowledge. Furthermore, learning orientation moderates the relationship between abusive supervision and emotional exhaustion, such that the positive association is weaker for employees with higher learning orientation. A moderated mediation analysis confirms that learning orientation buffers the indirect negative impact of abusive supervision on knowledge sharing via emotional exhaustion. Practical implications Managers in SMEs should foster a culture that supports individual learning orientation to safeguard employees from the detrimental effects of abusive supervision. Training programs and human resource policies that promote resilience and continuous learning may help sustain knowledge-sharing behaviors under adverse supervisory conditions. Originality/value This study contributes by extending social exchange theory to show how negative reciprocity undermines knowledge sharing, advancing conservation of resources theory by demonstrating that resource depletion is especially critical in resource-scarce SMEs, and enriching cognitive appraisal theory and learning orientation research by identifying learning orientation as a resilience resource that reframes abuse as a challenge rather than a threat. Contextually, it provides unique insights into Turkish manufacturing SMEs, where knowledge sharing is both essential and fragile under resource constraints.
Hysteresis in the neoliberal academy emerges as inherited academic dispositions collide with performance-driven governance under authoritarian neoliberalism, producing inside- and outside-track academic lives. We examine how neoliberal reforms in higher education in Turkey have restructured academic performance, generating uneven experiences for academics positioned within (inside-track) and against (outside-track) the dominant political orthodoxy. Drawing on Bourdieu's concept of hysteresis, we show how the rapid transformation of institutional logics has produced temporal disjunctures between academic habitus and field conditions. Our qualitative analysis of responses from 2,023 Turkish academics reveals how inside-track academics tend to justify and benefit from the performative turn, while outside-track academics resist or are marginalised by it. This study makes an original contribution by revealing the embodied dynamics of field misalignment and offering a novel conceptualisation of insider/outsider positioning in academic careers under neoliberalism. We show how performance regimes govern voice as well as productivity, reproducing patterned orientations of orthodoxy and heterodoxy with implications for governance, leadership, and evaluation design in higher education.
Microbiologically influenced corrosion (MIC) accelerates the degradation of metal components in marine and water-handling systems, creating a need for coatings that combine barrier protection with antimicrobial activity. Here, we report a dual-function nanofiber coating in which Ag-Cu bimetallic nanoclusters are immobilized within halloysite nanotubes (Ag-Cu_NC/halloysite nanotube (HNT)) and embedded into electrospun polycaprolactone (PCL) nanofibers to form conformal coatings on copper. In artificial seawater, the nanocomposite coating improved corrosion performance under both abiotic and Lysinibacillus sp.-inoculated conditions by increasing charge-transfer resistance and yielding the lowest corrosion current densities. Notably, bare copper reached 17.8 & times; 10-6 A cm-2 after 7 days, while neat PCL nanofibers reduced this value to 7.29 & times; 10-6 A cm-2, and Ag-CuNC/HNT-PCL provided the strongest protection. The coating also stabilized the corrosion medium pH close to the initial value in abiotic tests and mitigated acidification in biotic tests. Ag-Cu nanoclusters exhibited broad-spectrum antimicrobial activity against Escherichia coli, Staphylococcus aureus, and Candida albicans, and inhibited Pseudomonas aeruginosa biofilm formation by 94.5% as free nanoclusters and 61% when incorporated into nanofiber coatings. Structural analyses confirmed successful dispersion of Ag-CuNC/HNT within the nanofiber matrix, supporting a scalable strategy for MIC mitigation and antimicrobial surface protection in marine environments.
