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Expansion-oriented job crafting and employee performance: A self-empowerment perspective
No full textTaking a self-empowerment perspective, we investigated the mediating impact of psychological empowerment on the relationship between expansion-oriented job crafting behaviors (seeking resources and seeking challenges) and job performance. We also examined the moderating role of perceived overqualification on the proposed mediation model. Data were collected from 519 employees and their direct supervisors who work in 69 small and medium-sized enterprises (SMEs) in Turkey. As the data had a nested structure, we used hierarchical linear modeling (HLM) to analyze the multi-level data. The results show that psychological empowerment mediates the relationship between expansion-oriented job crafting behaviors and job performance. The analyses also provide support for the moderating impact of perceived overqualification. The conditional indirect effect of seeking challenges on job performance is stronger for those employees who feel overqualified for their jobs
'we Have the Right To Work': the Rise of the 'national Economy' and Reformulating the Demands of the Women's Movement in the Pages of Kadinlar Dunyasi in the Post Balkan Wars Era
No full textThis article utilizes the first 100 issues of Kadinlar Dunyasi, published in 1913, to explore the emergence of new feminist discourse attributing women with new socio-economic roles, other than childrearing and household labor, in a general socio-historical context that was defined by the needs of a new national economy. The intention here is primarily to show how new visions of Ottoman womanhood emerged, radically different from the previous model of relatively modern, educated mothers and wives which had been promoted in former decades as novel, nationalist policies and projects of society began to unfold in the post-Balkan Wars era and to explore how these newer visions were represented in feminist discourse
An MCDM approach to third party logistics provider selection
No full textIn order to focus on their main skills and be more competitive and efficient in business, firms frequently outsource their logistics functions to a third party logistics (3PL) provider. Evaluation and selection of a 3PL provider is a multi-criteria decision-making (MCDM) process due to the need to take into consideration various potentially competing qualitative and quantitative criteria. In this paper, as the MCDM method, fuzzy best-worst method (BWM) is applied to a 3PL provider selection problem of a textile company in Turkey. Here, six 3PL provider alternatives are evaluated with respect to 15 criteria by three managers (decision makers). Fuzzy BWM incorporates decision makers’ imprecision and ambiguity to the decision-making process and requires fewer pairwise comparisons than a frequently used method in 3PL provider selection, fuzzy analytic hierarchy process (AHP). Consistent results are always obtained through using fuzzy BWM, though not fully consistent. Copyright © 2023 Inderscience Enterprises Ltd
Evaluation of an Immersive Covid-19 Data Visualization
No full textCOVID-19 restrictions have detrimental effects on the population, both socially and economically. However, these restrictions are necessary as they help reduce the spread of the virus. For the public to comply, easily comprehensible communication between decision makers and the public is thus crucial. To address this, we propose a novel 3-D visualization of COVID-19 data, which could increase the awareness of COVID-19 trends in the general population. We conducted a user study and compared a conventional 2-D visualization with the proposed method in an immersive environment. Results showed that the our 3-D visualization approach facilitated understanding of the complexity of COVID-19. A majority of participants preferred to see the COVID-19 data with the 3-D method. Moreover, individual results revealed that our method increases the engagement of users with the data. We hope that our method will help governments to improve their communication with the public in the future
Health and Hygiene as a Factor of Destination Competitiveness: a Comparative Study Using Synchronic and Diachronic Data
No full textHealth and hygiene is a provision of conditions to maintain public health, and make tourists feel safer and tourism destinations become more competitive. The existing research has been conceptual or critical, and scarce empirical studies focus mainly on single-case studies. Therefore, this study came to fill a knowledge gap and analyse the importance and relationship between health and hygiene and destination competitiveness through a case study of the world's most visited tourism destinations. The study employed three techniques to analyse the synchronic and diachronic data of the destinations, i.e. comparative analysis, graphical analysis, and One-way ANOVA. The results show that health and hygiene are the most important of the 14 pillars measuring destination competitiveness. The graphical analysis indicates a positive correlation between the health and hygiene pillar and overall competitiveness. This study should be an impetus for applied scientific research for public health policy and tourism competitiveness
Click Prediction Boosting Via Bayesian Hyperparameter Optimization-Based Ensemble Learning Pipelines
No full textTOKUC, AYSE AYLIN/0000-0002-5331-5706Online travel agencies (OTA's) advertise their website offers on meta-search bidding engines. The problem of predicting the number of clicks a hotel would receive for a given bid amount is an important step in the management of an OTA's advertisement campaign on a meta-search engine because bid times number of clicks defines the cost to be generated. Various regressors are ensembled in this work to improve click prediction performance. After preprocessing, the entire feature set is divided into 5 groups, with the training set preceding the test set in the time domain, and multi-set validation is applied. The training data for each validation set is then subjected to feature elimination, and the selected models are next validated with separate ensemble models based on the mean and weighted average of the test predictions. Additionally, a stacked meta-regressor is designed and tested, along with the complete train set, whose click prediction values are extracted in accordance with the out- of-fold prediction principle. The original feature set and the stacked input data are then combined, and level-1 regressors are trained once again to form blended meta-regressors. All individually trained models are then compared pairwise with their ensemble variations. Adjusted R 2 score is chosen as the main evaluation metric. The meta-models with tree-based ensemble level-1 regressors do not provide any performance improvement over the stand-alone versions, whereas the stack and blended ensemble models with all other non-tree-based models as level-1 regressors boost click prediction (0.114 and 0.124) significantly compared to their stand-alone versions. Additionally, statistical evidence is provided to support the importance of Bayesian hyperparameter optimization to the performance-boosting of level-1 regressors.Emerging Sources Citation Inde
Beyaz Yakalı Kadın Çalışanlara Karşı İş Yeri Tacizinin Dijitalleşmesi: Profesyonel Çevrimiçi Platformlar Üzerine Bir Araştırma
No full textKadına yönelik cinsel taciz, tüm dünyada ele alınan önemli toplumsal sorunlardan biridir. Gerçekleştiği ortam ve türleri değişse de yüzyıllardır var olan bir gerçektir. İnternetle birlikte her şeyin dijitalleştiği gibi taciz de dijital ortama taşınmıştır. Kadınların çalışırken veya iş ararken tacize uğradığı iddia ediliyor. Mesleki amaçlarla kullanılan çevrimiçi platformlarda ve işyerinde yaşanan taciz, tacizin yaygınlığını ve mağdurlar üzerindeki etkilerini araştırmak için, özel sektörde çalışan 20-40 yaş arası beyaz yakalı 245 kadın ile anket çalışması yapılmıştır. Araştırmanın sonuçlarına göre kadınların en çok maruz kaldıkları taciz siber tacizdir. Her yüz kadından 73'ünün profesyonel dijital platformlarda tacize uğradığı gözlemlenmiştir. Yaşanan taciz türlerinde; ısrarlı çevrimiçi flört talepleri, mağdurun reddetmesine karşı devam eden, istenmeyen romantik mesajlar almak, cinsel ve tehdit içerikli şakalar ve hakaretler en yaygın taciz türleridir. Fiziksel istismarın psikolojik ve fizyolojik etkilerinin siber taciz mağdurlarında da görüldüğü ortaya çıkmıştır
Does Export Intensity of Heterogeneous Firms Affect Leverage? Evidence From a Small Open Economy
No full textRamzan, Imran/0000-0003-0012-1657Exports at firm level improve the financial performance and contribute to economic growth. Exporting activities can require additional financing and pose a challenge to manufacturing firms, affecting their managerial financing decisions. This study explores the impact of export intensity on leverage using a dataset of manufacturing firms. The results of two-step system GMM reveal that export intensity has a negative influence on leverage. We find that a firm size positively impacts leverage, while cash holding has a negative connection with leverage. Fi-nally, we note that board size exhibits a positive relationship with leverage. These findings suggest important policy implications for export promotion, specifically for a small open econ-omy. The results are robust to different sensitivity checks