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The purpose of this paper is to investigate the joint influence of two factors (companies’ performance and growth) on the company’s capital structure and to determine the conditions for financially sustainable competitive strategies in the coordinates profitability and growth.

The study sample includes 1,996 companies from 6 high-tech industries in Russia (panel data: 7,984 observations). The authors use regression models with random effects and carry out a three-dimensional visualization of the resulting dependencies.

The study found that profitability improves the capital structure (reduces the share of borrowed capital) and, on the contrary, the growth of companies (assets growth or sales growth) increases the leverage ratio. In the case of assets growth, the combined influence of two factors reduces the negative effect of assets growth. The results have shown that the outstripping growth of most high-tech companies requires an increase in debt capital and deterioration in the capital structure and financial stability.

In general, based on the results of this study, the authors have identified groups of fast-growing companies that need financial support, and have defined the main areas of impact (reducing the loan burden and increasing profitability) that will allow these companies to maintain high growth rates and demonstrate advanced development.

The relationships (which the authors identified between the control variables, the studied variables and leverage) were obtained for the first time for a sample of companies in high-tech industries and services in bigger transition country (Russia).

The present paper aims to systematically investigate the influence of building orientations (0°, 15°, 30°, 45°, 60°, 75°) and heat treatment processes on the macro-/micro-structural, mechanical and electrochemical behaviors of selective laser melting (SLM) prepared AlSi10Mg alloy parts.

AlSi10Mg samples were produced by the SLM method using standard processing parameters at 0°, 15°, 30°, 45°, 60° and 75° building angles. The effects of building orientations on the physical, mechanical and electrochemical properties of the alloy were investigated.

With the increase in the building orientation from 15° to 75°, the structural defects were found reducing. The effect of step size of inclined geometries was found to significantly influence the mechanical and electrochemical properties of the AlSi10Mg samples. Tensile strength for samples fabricated at lower angles (0°, 15°, 30°) reported a drop of approximately 11% than SLM 0° samples. Moreover, the tensile strength was found to decrease from 412.35 ± 9.568 MPa for the as-built samples to 290.48 ± 12.658 MPa, whereas the fracture strain increases from 3.32 ± 0.56% to 5.6 ± 0.6% when the as-built sample was treated with T6 treatment. This study indicates that the microstructure and mechanical properties of SLM-processed AlSi10Mg alloy can be tailored by a suitable heat treatment or building angle.

Microstructural and mechanical behavior of horizontal or vertically built SLM components have already been demonstrated several times. However, the influence of different building orientations, such as 0°, 15°, 30°, 45°, 60°, 75°, has not been explored in-depth, particularly on corrosion and general mechanical performance. As a result, this work may be of significant relevance to academics and designers, given the varying orientation of internal component of SLM structures.

This paper aims to determine priority issues in the corporate governance (CG) principles to increase CG rating notes of publicly traded companies.

This study defines the priority issues for publicly traded companies that should be focused to increase the CG rating notes. In this context, this study considers the companies in Borsa Istanbul CG index (XKURY), use data for 2018, 2019, 2020, and applies machine learning algorithms.

Overall, importance of each CG principle changes for the CG rating notes; first five CG principles in terms of significance have a total of 43.6% importance for the CG rating notes; following a straight-line approach in completing deficiencies of the CG principles cannot help increase the CG rating notes. Hence, empirical results highlight the impact of the most significant CG principles in terms of the CG rating notes that should be focused on by publicly traded companies so that CG ratings can be increased.

This study uses Turkey data and considers publicly traded companies in the XKURY index. The main cause of this condition is that consolidated data of compliance report format for all publicly traded companies cannot be obtained.

The publicly traded companies can increase the CG rating notes by considering the results of this study while focusing on priority issues in the CG principles.

The study determines the most important CG principles that companies can focus on, highlights the importance of usage of machine learning algorithms in determining the most influential CG principles in terms of the CG rating notes and reflects on the difficulties for gathering consolidated CG principles compliance reporting data for all publicly traded companies. Hence, societies can have better companies that are ruled more efficiently and corporately by increasing their compliance with the CG principles.

To the best of the authors’ knowledge, this is the first empirical study that determines the priority issues to increase the CG rating notes of publicly traded companies based on the new CG principles compliance reporting scheme in Turkey. Following this aim, machine learning algorithms, which can present better results with regard to most of the econometric models, are used in this study.

By considering the rapid and continuous increase of housing prices in Turkey recently, this study aims to examine the determinants of the residential property price index (RPPI). In this context, a total of 12 explanatory (3 macroeconomic, 8 markets and 1 pandemic) variables are included in the analysis. Moreover, the residential property price index for new dwellings (NRPPI) and the residential property price index for old dwellings (ORPPI) are considered for robustness checks.

A quantile regression (QR) model is used to examine the main determinants of RPPI in Turkey. A monthly time series data set for the period between January 2010 and October 2020 is included. Moreover, NRPPI and ORPPI are examined for robustness.

Predictions for RPPI, NRPPI and ORPPI are carried out separately at the country (Turkey) level. The results show that market variables are more important than macroeconomic variables; the pandemic and rent have the highest effect on the indices; The effects of the explanatory variables on housing prices do not change much from low to high levels, the COVID-19 pandemic and weighted average cost of funding have a decreasing effect on indices while other variables have an increasing effect in low quantiles; the pandemic and monetary policy indicators have a negative and significant effect in low quantiles whereas they are not effective in high quantiles; the results for RPPI, NRPPI and ORPPI are consistent and robust.

The results of the study emphasize the importance of the pandemic, rent, monetary policy indicators and interest rates on the indices, respectively. On the other hand, focusing solely on Turkey and excluding global variables is the main limitation of this study. Therefore, the authors encourage researchers to work on other emerging countries by considering global variables. Hence, future studies may extend this study.

The COVID-19 pandemic and market variables are determined as influential variables on housing prices in Turkey whereas macroeconomic variables are not effective, which does not mean that macroeconomic variables can be fully ignored. Hence, the main priority should be on focusing on market variables by also considering the development in macroeconomic variables.

Emerging countries can make housing prices stable and affordable, which will increase homeownership. Hence, they can benefit from stability in housing markets.

The QR method is performed for the first time to examine housing prices in Turkey at the country level according to the existing literature. The results obtained from the QR analysis and policy implications can also be used by other emerging countries that would like to increase homeownership to provide better living conditions to citizens by making housing prices stable and keeping them under control. Hence, countries can control housing prices and stimulate housing affordability for citizens.

This paper aims to investigate the effects of various heat treatments on microstructure, hardness, porosity and corrosion properties of the parts.

Hot isostatic pressing (HIP) process, various heat treatments and their combinations were applied to the AlSi10Mg parts produced by direct laser metal sintering (DMLS).

It has been found that the HIP process, which is a post-processing process, reduces the amount of porosity in DMLS-AlSi10Mg material, thus improves corrosion resistance significantly.

In this study, the HIP process and subsequent T6 heat treatments were applied to AlSi10Mg parts produced by the DMLS technique. The study aims to increase the corrosion resistance of AlSi10Mg parts by reducing porosity with the HIP process and by altering the microstructure with the T6 process.

This study aims to investigate the impact of toxic leadership, organizational justice and organizational silence on hospital employees' intention to leave their jobs.

A questionnaire survey was conducted with permanent and contractual employees of a university teaching hospital, including nurses, medical assistants, health technicians and clerical staff. Structural equation modeling was used to develop and test the model.

The findings reveal that toxic leadership is directly and negatively related to organizational justice, while all dimensions of organizational silence and the intention to leave are positively related. In this model, the coefficients of the relationships are found to be higher, almost doubling in permanent employees than in contracted employees, except for the relationship between toxic leadership and silence to protect the organization. This exception lies in the fact that permanent workers with long-term employment have been dealing with the managers for many years.

The model can be extended with counterproductive behavior, work performance and satisfaction measures and work stress and compared with different sectors using higher sample volumes.

In the human-centered health-care industry, it is essential to know the way leadership behaviors guide health-care professionals. The negative leadership behaviors can negatively affect both employees' self-esteem and their attitudes toward patients and their relatives. The results of the present study are expected to contribute to the development of more effective manager selection and promotion policies by policy-makers as well as the determination of short- and long-term employment policies.

This study aims to investigate the effect of the tourism sector on employment in 13 Mediterranean countries. In addition, the impact of economic growth and inflation rate, which are included in the analysis as control variables, on the employment rate are investigated.

For this study, data from 1995 to 2018 and the ratio of the employed population, the number of international tourist arrivals, the annual growth rate of real gross domestic product (GDP) and the annual percentage change in the Consumer Price Index (CPI) were used. First, the authors investigated the relationship between variables using the Autoregressive Distributed Lag (ARDL) Bounds Test with Sharp and Smooth Breaks. Then, after determining the significant cointegration relationship, the long-term and short-term coefficients were also estimated.

The results show a cointegration relationship for Cyprus, Greece, Israel, Malta and Tunisia. Tourism demand has a positive effect on all these countries and economic growth positively affects the employment rate only in Greece, Israel and Tunisia. Besides, the inflation rate has a negative effect in Israel and Tunisia and a positive effect in Malta. Overall, the authors' results provide important policy suggestions, such as the training of the employees in the tourism sector should be improved to keep up with the requirements of the times.

The impact of the tourism sector on total employment varies from country to country. In particular, the employment creation policies of the sector need to be changed by taking technological changes into consideration.

Since tourism is a labor-intensive sector, tourism's impact on employment is an important research topic. However, whether this effect applies to all countries is debatable. Furthermore, the development of technology can also reduce employment in labor-intensive sectors. Therefore, this research can be regarded as important as this research addresses such a critical current issue and suggests a novel econometric method such as the ARDL Bounds Test with Sharp and Smooth Breaks.

This paper aims to determine the usage time of the test lubricant N0, prepared from base oils of Aliaga Plant, Izmir, in gasoline and diesel‐engines, and the investigations of high‐temperature oxidation, engine‐protective properties, and property changes of the lubricant in performance time.

Physical and chemical properties of the lubricating oil were initially established, and the oil was then subjected to Petter W‐1 gasoline and Petter AV‐1 diesel test engines. Dismantling of the engine parts was followed by the examination of pistons, piston rings and bearings, and analysis of the lubricant was also undertaken. The engine performance test results and the quality control of the lubricating oil assessments were evaluated according to the International Engine Lubricant Specifications.

The lubricating oil, under sluggish experimental conditions, appears to meet a 40‐hour test in gasoline engines and a 120‐hour test in diesel engines with the specifications. This means that under usual working conditions the lubricants keep the engine protective properties in 7,000 km distance for gasoline run‐vehicles, and in 5,000 km distance for diesel run‐vehicles, after which change of the oil is required.

The paper provides information of value to those involved with lubrication and engine performance.

The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The analysis from the literature revealed that the implementation of SCM in the construction industry enhances the industry's value in terms of cost-saving, time savings, material management, risk management and others. The construction supply chain (CSC) can be managed using the pull or push system. This chapter also discusses the origin and proliferation of SCM into the construction industry. The chapter revealed that the concept of SCM has passed through five different eras: the creation era, the use of ERP, globalisation stage, specialisation stage and electronic stage. The findings from the literature revealed that we are presently in the fourth industrial revolution (4IR) era. At this stage, the SCM witnesses the adoption of technologies and principles driven by the 4IR. This chapter also revealed that the practice of SCM in the construction industry is centred around integration, collaboration, communication and the structure of the supply chain (SC). The forms and challenges hindering the adoption of these practices were also discussed extensively in this chapter.