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This study aims to reveal the significance of self-compassion, job satisfaction, calling, and affective commitment in the context of safety workers. The sample of the study consists of security personnel working in the public sector. The data were collected on a voluntary basis from 308 people through the survey method, using the convenience sampling method. SPSS 26 and AMOS 24 programs were used for analyzing the data of the study. Firstly, a confirmatory factor analysis was conducted to test the construct's validity. The analysis revealed good goodness-of-fit values for the scales. In addition, the data showed a normal distribution, with the internal consistency (») values indicating reliability. The Process Macro of SPSS was used for testing the hypothesis. The results indicate a positive and significant relationship between self-compassion and job satisfaction, calling, and affective commitment. Moreover, calling and affective commitment mediate the effect of self-compassion on job satisfaction. In other words, as the self-compassion levels of security sector employees increase, their calling increases, then their affective commitment increases, and subsequently, their job satisfaction increases. These findings show that the positive mood of the employees positively affects work outcomes such as job satisfaction.

This study explores the impact of Industry 5.0 on discriminatory behaviors toward migrant employees within organizations. Through semi-structured qualitative interviews with 15 migrant workers in the UK, this research identifies key challenges faced by migrant employees amidst the integration of advanced technologies like AI and robotics in HRM systems. Thematic analysis reveals that while Industry 5.0 has the potential to mitigate human biases, it can also perpetuate existing prejudices if not managed effectively. This study highlights two main themes: the experiences of discrimination and challenges in the context of Industry 5.0, and the role of technology in HRM systems. The findings indicate that automated HR systems can both reduce and increase biases, highlighting the importance of inclusive practices and targeted support programs to help migrant workers adapt to a technologically advanced labor market. This research contributes to the literature by providing insights into the duality of technological advancements in reducing and reinforcing workplace discrimination.

Purpose The leadership shift from conventional to digital comes from the compulsory digitalization of the workplace because the technological progress provides the opportunity of doing work remotely, and this is a great advantage of reducing costs that stem from the offline workplace. Thus, this research aims at demonstrating the relationship between digitalization of leadership and innovative work behavior. Design/methodology/approach Data were collected from 320 Turkish department managers in the Textile Industry through digital leadership and innovate work behavior scales. The hypotheses were tested using path analysis. The analyses were conducted by using SPSS and AMOS package programs. Findings The results show that the employees’ perceptions of digital leadership have a positive and significant effect on all dimensions of an employee innovative work behavior. Also, the leaders with high digital skills were perceived positively by the employees and the employees tend to adapt innovative behaviors when they have the digitally skilled leaders. Originality/value This study contributes to leadership research by providing evidence for the role of leadership shift in innovative work behavior. Extending the verification of leadership shift in innovative work behavior that can be adopted in Turkey has also been considered.

Aim Operative dictation (OD) is a critical component of surgical documentation, yet its formal teaching is often overlooked in residency training. This study aimed to evaluate the inclusion of OD training in urology residency programs and assess awareness and practices among urology residents (URs) and staff urologists (SUs). Materials and methods A structured questionnaire was developed to explore OD practices, awareness, and training methods. The questionnaire consisted of four sections: demographic characteristics, OD practices, awareness of OD as a skill, and formal OD training. It was distributed via e-mail to URs and SUs whose contact information was obtained from the Turkish Urological Association’s Central Anatolia Branch. Descriptive statistics were used to analyze the data. Results The survey was sent to 252 participants and achieved a response rate of 86.9% ( n  = 219). Among the respondents, 61 were URs (27.8%) and 158 were SUs (72.1%). Most participants (96.7% of URs and 98.2% of SUs) reported no formal OD training during residency, informal methods, such as reviewing old ODs and guidance from senior residents, were commonly cited as learning approaches. Despite recognizing the importance of structured OD templates, participants highlighted the absence of standardized training curricula. Similar responses from experienced and novice surgeons suggest that this gap has persisted for decades. Conclusion This study highlights the lack of formal OD training in urology residency programs and the reliance on informal methods. Integrating standardized OD training modules into residency curricula is essential to improve documentation quality and medico-legal reliability. Future research should explore the effectiveness of educational interventions and develop universal guidelines for OD practices. Clinical trial number Not applicable.

PurposeThe purpose of this paper is to explore the inclusion and exclusion of LGBT individuals at organisations towards providing evidence from LGBT non-governmental organisations (NGOs) in Turkey and the UK.Design/methodology/approachIn order to achieve this aim, 40 semi-structured qualitative in-depth interviews (20 in each country) were conducted. The empirical dimension of this study was invigorated by thematic analysis of interviews that composed of the individuals and members who work in LGBT organisations in Turkey and the UK.FindingsThe significance and the role of context in shaping public discourse, policies and practices of LGBT organisations in Turkey and the UK were explored in greater details. Based on the coding and thematic analysis of the interviews, three main findings were presented, which are “inclusion and exclusion at work”, “inclusion and exclusion in politics” and “inclusion in LGBT organisations”.Originality/valueThe originality of this research comes from its unique nature with a comparative approach on the contrary of current LGBT research that mostly focusses on an individual level of analysis and workplace discrimination. Research evidence demonstrates that there are a number of complexities, contradictions and tensions based on the specific characteristics of each country setting where various cultural, societal, political and legislative/regulative forces come into play in LGBT inclusion at organisations. Consequently, this research provides valuable insights for the inclusion of sexual minorities drawing on the evidence from LGBT NGOs in Turkey and the UK.

Background/Objectives: Urinary system stone disease is an important health problem both clinically and economically due to its high recurrence rates. In this study, an innovative hybrid approach based on deep learning is proposed to predict the recurrence risk of stone disease. Methods: Patient data were divided into three subsets: anthropometric measurements (Part A), derived body composition indices (Part B), and other clinical and demographic information (Part C). Each data subset was processed with autoencoder models, and low-dimensional, meaningful features were extracted. The obtained features were combined, and the classification process was performed using four different machine learning algorithms: Extreme Gradient Boosting (XGBoost), Cubic Support Vector Machines (Cubic SVM), k-Nearest Neighbor algorithm (KNN), and Decision Tree (DT). Results: According to the experimental results, the highest classification performance was obtained with the XGBoost algorithm. The suggested approach adds to the literature by offering a novel solution that makes early risk calculation for stone disease recurrence easier. It also shows how well structural feature engineering and deep representation can be integrated in clinical prediction issues. Conclusions: Prediction of the stone recurrence risk in advance is of great importance both in terms of improving the quality of life of patients and reducing the unnecessary diagnostic evaluations along with lowering treatment costs.

Purpose The purpose of this paper is to explore the inclusion and exclusion of LGBT individuals at organisations towards providing evidence from LGBT non-governmental organisations (NGOs) in Turkey and the UK. Design/methodology/approach In order to achieve this aim, 40 semi-structured qualitative in-depth interviews (20 in each country) were conducted. The empirical dimension of this study was invigorated by thematic analysis of interviews that composed of the individuals and members who work in LGBT organisations in Turkey and the UK. Findings The significance and the role of context in shaping public discourse, policies and practices of LGBT organisations in Turkey and the UK were explored in greater details. Based on the coding and thematic analysis of the interviews, three main findings were presented, which are “inclusion and exclusion at work”, “inclusion and exclusion in politics” and “inclusion in LGBT organisations”. Originality/value The originality of this research comes from its unique nature with a comparative approach on the contrary of current LGBT research that mostly focusses on an individual level of analysis and workplace discrimination. Research evidence demonstrates that there are a number of complexities, contradictions and tensions based on the specific characteristics of each country setting where various cultural, societal, political and legislative/regulative forces come into play in LGBT inclusion at organisations. Consequently, this research provides valuable insights for the inclusion of sexual minorities drawing on the evidence from LGBT NGOs in Turkey and the UK.

PurposeThis study aims at demonstrating how social media shape the recruitment and selection processes of individuals in developing countries. It further explores the impacts of social media on business productivity, cost efficiency, widening of search, less employee turnover and competitive advantage mediated by adopting e-recruitment processes. This research adopts social network theory to discuss the findings and highlight the new mechanisms that legitimise business manipulation in e-recruitment process by exploring the usage of social media.Design/methodology/approachSecondary data based on literature review is triangulated with 37 semi-structured qualitative interviews with managerial and non-managerial members of staff.FindingsThe findings show that e-recruitment has immense advantages to businesses. However, the authors also consider the dark side of social media and e-recruitment process by considering social network theory as a manipulation tool in organisations of developing countries.Originality/valueHaving adopted the social network theory, this research highlights the new mechanisms that legitimise business manipulation in e-recruitment process. Thus, it demonstrates technological advancements that reshape the dynamics of social networks and recruitment processes.

Objective: To investigate the prognostic value of neutrophil-to-lymphocyte ratio (NLR) in renal cell carcinoma (RCC). Materials and Methods: Preoperative NLR value in 125 patients who underwent surgical treatment for renal tumor between January 2012 and September 2017 and and received the pathological diagnosis of RCC, was evaluated. The patients were initially divided into two groups as patients with and without metastases at the time of diagnosis. Subsequently, the patients were divided into two groups according to the pathological stage. In the first group, patients with localized RCC (pT1 and pT2) were evaluated and in the other group, those with advanced RCC (pT3 and pT4) were evaluated, and then, these two groups were compared. Results: The mean NLR was higher in group with metastasis than in group without metastasis at the time of diagnosis (4.4±2.8 and 2.9±1.6, respectively; p=0.029). When a NLR of 3.1 was taken as the cut-off value; it was observed that the NRL value in 7 of 8 patients with metastasis at diagnosis was above 3.1. (p=0.002, OR=14.6). Overall survival was 59.8±2.7 months and 49±4.5 months in patients with a NLR of <3.1 and >3.1, respectively (p=0.045). Conclusion: We assume that preoperative NLR can be evaluated as a prognostic marker for overall survival in patients with RCC.