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This study aims to determine and evaluate the artificial intelligence (AI) development and competitiveness of the top 20 countries that receive the highest number of tourists with the entropy technique for order of preference by similarity to the ideal solution (TOPSIS)-integrated method.

This study is based on Global AI Index data published by Tortoise Media. Based on this index, according to the World Tourism Organization (UNWTO) report, the top 20 destinations that will host the highest number of tourists in 2022 were evaluated in seven different subpillars, which are talent, infrastructure, operating environment, research, development, government strategy and commercial. These seven subpillars of the index were considered as criteria, and the top 20 tourist destinations were included in the research as decision alternatives.

The analysis results show that the three most important AI criteria are operating environment, infrastructure and government strategy. Furthermore, the first three countries with the best AI performance according to the weighted criteria were the USA, China and the UK, respectively.

Considering that AI technologies will direct tourist behavior in a world where technology is rapidly developing, it is recommended that the countries that receive the highest number of tourists improve their AI performance.

When the relevant literature is examined, there is a limited number of studies examining the AI development and competitiveness of the top tourist destinations and weighting the Global AI Index values. Therefore, this study contributes to the gap in the relevant literature.

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.

The purpose of this paper is to evaluate the effect of post process combinations, e.g. hot isostatic pressing (HIP) only, HIP + T6 heat treatments, and T6 only, with different aging time, on surface properties, microstructure and mechanical properties of stress-relieved AlSi10Mg parts produced by direct laser metal sintering.

HIP process and HIP + T6 heat treatments were applied to as stress-relieved direct laser metal sintered (DMLS) AlSi10Mg parts. Aging times of 4 and 12 h are selected to examine the optimum duration. To analyze the advantages of HIP process, a T6 heat treatment with 4 h of aging was also applied. Densities, open porosities and roughness values of as stress-relieved, HIPed, HIP + T6, and T6-only samples were measured. The samples were characterized by OM and SEM together with EDX analysis. An image analysis study was made to evaluate the inner pore structure, thereby to understand the mechanical behavior.

HIP process does not cause a significant change in surface porosity; yet it has a positive influence on inner porosity. HIP process results in a microstructure of the aluminum matrix surrounded by a network of micron and nano size Si particles. Additional heat treatment results in larger particles and precipitation. After HIPing, ductility increases but strength decreases. Samples aged 4 h present improved yield and tensile strength but decreased elongation, yet samples aged for 12 h reach a combination of optimum strength and ductility. The lower level of tensile strength and ductility in T6-only condition indicates that HIP process plays a crucial role in elimination of the porosity thus improves the effectiveness of subsequent heat treatment.

The study investigates the effect of post-process conditions and optimizes the aging time of the T6 heat treatment after HIP process in order to obtain improved mechanical properties. The stress-relieved state was chosen as the reference to prevent distortion during HIPing or heat treatment.

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.

Political science and public administration have seen significant transformations as a result of digitalization. The literature depicts the transformation brought about by digitalization at various stages. In the literature, these periods are termed as Public Administration 1.0 (Cameralism), Public Administration 2.0 (Weberian Bureaucracy), Public Administration 3.0 (New Public Administration), Public Administration 4.0 (Digital Public Administration) and Public Administration 5.0 (Super Smart Society). Not only has digitalization contributed to a more effective, efficient and accountable service understanding, but it has also contributed to the dissolution of the rigid understanding between voters and politicians. However, digitalization has brought both problems and benefits to the field. By creating a fast world, unconfirmed information reaches a greater number of people, bringing negative situations with it. Aside from the societal benefits of digitalization, the methods to be considered will also be discussed in this study.

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.

The purpose of this paper is to investigate whether the information sharing in an online discussion forum, over an agricultural market characterized by a large number of small-scale farmers, has an impact on the market prices.

All the comments posted by farmers and traders on four storable items (potato, onion, lemon and apple) in an online discussion forum over 2013–2017 are collected. By using text mining techniques and regression analysis, words characterizing the actions and expectations of farmers and traders on the course of the market price are identified. Then, summary indicators pointing to positive and negative views on prices are calculated. Finally, the relation between these indicators and market prices is analyzed.

The results point to economically significant impacts, as one standard deviation increase in the share of net positive comments is associated with 20, 22, 13 and 10 percent increase in the consumer prices of potato, onion, lemon and apple, respectively within three months.

Overall, this study provides an evidence for the link between information sharing of farmers on online domain and their collaboration in the physical domain. Thus, the study implies that the information synthesized from online discussion forums may actually contain valuable information for researchers and policy makers regarding the behavior of agents even on traditional domains such as agriculture.

Public libraries are institutions that provide information services to all citizens in a country and support the development of lifelong learning, awareness and creativity. All these provide an advantage for having a developed economy and being a developed society. This study aims to reveal the interaction between the gross domestic product (GDP) and public library usage in Turkey. The study also purposed to increase awareness of the economic benefits of public libraries.

In the study, a vector autoregression (VAR) model and co-integration techniques were used. Johansen co-integration test was used examining the long-term relationship between the variables. Due to the variables moving together in the long term, the vector error-correction model was preferred instead of the VAR model, as a result.

According to the causality test results, GDP was found to be affected when there was a change in the number of library users. According to the Granger causality test result, a change in GDP was also found to have a significant effect on the number of library users. All these indicate an interaction between GDP and public library usage in Turkey between 2001 and 2017.

The revealed interaction between GDP and the number of public library users can be useful for policymakers who are making decisions to develop public library services and to increase GDP.

The interaction between public library usage and GDP can be seen such as an unlikely combination. However, this study presented a mutual interaction between public library usage and GDP. The findings of the study will be of a great importance in developing countries to be motivated to make public library services better.

The issue of training and appointment of school administrators has consumed substantial attention from educational scholars for several decades. The literature has witnessed a growing amount of research effort in investigating and identifying the effective ways of training and appointing school principals. However, there are also political, social and cultural aspects to this endeavour, which potentially influences the practices pertaining to training and appointment of school principals. This chapter represents scholarly efforts to discuss issues on the training and appointment of school administrators in Turkey within its historical and political background. Thus, first, it focuses on the historical journey of the field of educational administration in Turkey. This journey has been categorised under three phases: The Ottoman Era, Early Years of Turkish Republic and the 1950s Onwards. Second, this chapter discusses school principalship in Turkey with a specific focus on political and legal dimensions. Finally, the chapter ends with an overall evaluation of the practices and policies pertaining to school administration curriculum in Turkey.