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The purpose of this paper is to propose an alternative, interdisciplinary teaching of health, health care and medical care based on three pillars: social economics, the social determinants of health (SDH) and ethics. Based on these three pillars, the global financial crisis is presented as the moment of manifestation of the SDH at individual and aggregate levels that require a critical analysis from a broader perspective that is possible with social economics and ethics.

The author designed a writing-intensive course based on four modules about definition of health, health care, medical care and determinants of health; political economy of financing and organization of medical care; policies including reform proposals; and medical ethics and moral philosophies that reflect back on the previous topics, respectively.

The course attracts students from different disciplines who found it realistic and comprehensive so that it can be related easily to other disciplines owing to its interdisciplinary design. It also helps students to improve their writing skills.

The course is taught only in US context and is still open to further development.

The theoretical pillars of the course can be adopted and experimented with in different contexts (e.g. wars, plagues, immigration, etc.) and inform the participants about the subject matters from a broader perspective.

This paper provides a successful and novel teaching experience of health and medical care by putting social economics, SDH and ethics together.

This chapter argues that neoliberal governmentality in immunization relocates the Turkish state's position regarding vaccine and immunization policies. Neoliberalism is often discussed in the context of privatization, performance, and effectiveness separately. However, more attention should be paid to the set of strategies that are employed in public policy processes to manage populations in terms of immunization, while intertwining power with knowledge. Following Foucault's concept of governmentality and taking it further within the context of biopolitics, this chapter focuses on different knowledge practices regarding vaccine and immunization policies in Turkey. In doing so, this case study applies a post-structural analysis to examine vaccine production, vaccine know-how, and immunization policies inscribed in policy documents as a form of knowledge practice. The analysis sheds light on the reflexive transformation of the concept of biopolitics, which is moving from state-oriented knowledge practices toward a neoliberal governmentality of immunization.

Our proposed machine learning model contributes to improving the quality of Hire by providing a more nuanced and comprehensive analysis of candidate attributes. Instead of focusing solely on obvious factors, such as qualifications and experience, our model also considers various dimensions of fit, including person-job fit and person-organization fit. By integrating these dimensions of fit into the model, we can better predict a candidate’s potential contribution to the organization, hence enhancing the Quality of Hire.

Within the scope of the investigation, the competencies of the personnel working in the IT department of one in the largest state banks of the country were used. The entire data collection includes information on 1,850 individual employees as well as 13 different characteristics. For analysis, Python’s “keras” and “seaborn” modules were used. The Gower coefficient was used to determine the distance between different records.

The K-NN method resulted in the formation of five clusters, represented as a scatter plot. The axis illustrates the cohesion that exists between things (employees) that are similar to one another and the separateness that exists between things that have their own individual identities. This shows that the clustering process is effective in improving both the degree of similarity within each cluster and the degree of dissimilarity between clusters.

Employee competencies were evaluated within the scope of the investigation. Additionally, other criteria requested from the employee were not included in the application.

This study will be beneficial for academics, professionals, and researchers in their attempts to overcome the ongoing obstacles and challenges related to the securing the proper talent for an organization. In addition to creating a mechanism to use big data in the form of structured and unstructured data from multiple sources and deriving insights using ML algorithms, it contributes to the debates on the quality of hire in an entire organization. This is done in addition to developing a mechanism for using big data in the form of structured and unstructured data from multiple sources.

As in line with eco benchmarking, the purpose of this paper is to solve a location selection problem in an emerging country by applying sustainability benchmarking principles.

A hybrid multi-criteria decision-making method, fuzzy AHP and Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE), is used as methodology to make sustainability benchmarking for logistics center location selection.

It is revealed that according to AHP and PROMETHEE calculations, Kemalpasa is determined as the most appropriate location from the sustainable perspectives. Torbali is specified as the worst location to construct a logistics center in terms of benchmarking criteria based on sustainability concerns. Based on these numerical results, managerial implications are presented with a sustainability benchmarking view.

The main originality of this study is integrating one of the relatively new topics, sustainability benchmarking, with a popular area, logistics center location selection.

The current Industry 4.0 era is considered not only as a process that dominates technological developments but also as a process that influences the leadership styles. Management 4.0 is essential for businesses to find and apply the appropriate technologies in the age of Industry 4.0. The leadership styles that business managers will adopt in order to be successful in this process and to survive in an intensely competitive environment can play an important role. At this point, a significant problem arises: identifying leadership styles that will bring success. In this context, the primary purpose of this chapter is to explain the modern leadership styles that business managers can adopt or follow in the age of Industry 4.0. In line with this purpose, the chapter first describes the historical development of leadership, leadership theories and modern leadership styles, such as transactional, transformational, technological, strategic, visionary and agile leadership, and all these concepts are discussed based on the Industry 4.0 perspective.

The purpose of this study was to determine the relationship between the leadership orientations of nurses and their clinical decision-making skills.

This descriptive study was conducted between June and December 2018 on nurses working at three hospitals in Turkey. This study was completed with 1,100 nurses. The Personal Information Form, Leadership Orientation Scale and Clinical Decision-Making Scale in Nursing were used for data collection.

A significant correlation was found between the leadership orientations of nurses and age, sex, institution where they were employed, time spent in the profession, being in a management position and satisfaction with the current unit of employment (p < 0.05), and a significant correlation was found between clinical decision-making skills of nurses and age, sex and occupational status (p < 0.05). Furthermore, a significant correlation was found between the mean scores of the Leadership Orientation Scale and Clinical Decision-Making in Nursing Scale (p < 0.05).

The development of leadership orientations of nurses positively affects their clinical decision-making skills. In this respect, it is important to instill effective leadership orientations in nurses and to incorporate novel training methods in nursing education to develop accurate and timely clinical decision-making skills.

In terms of countries, renewable energy sources are increasing their importance day by day. The decrease in fossil fuels and the difficulty of accessing the related fuels as well as their expensiveness can be cited as reasons for this situation. This situation obliges countries to make legal arrangements for the production and use of renewable energy sources in their legal systems. In this context, legal arrangements have been made in Turkey regarding the production and use of related energy resources. One of these regulations is the law dated May 10, 2005 and numbered 5346. The relevant law aims to bring electrical energy to the economy in a reliable, economical, and at the same time high quality way by using renewable energy sources. At the same time, the main purposes of enacting the law include increasing the diversity of resources in energy, reducing greenhouse gas emissions as much as possible, evaluating waste, and protecting the environment. At the same time, the law includes sustainable energy sources. It has been defined as nonfossil energy sources such as hydraulic, wind, solar, geothermal, biomass, waves, currents, and tides. In this context, the main purpose of the study is to examine what renewable energy sources are and to reveal the legal nature of energy services by considering the production and use of renewable energy sources in Turkey in the context of Turkish legal legislation.

This study aims to obtain the lowest surface roughness (Ra) and drill bit adhesion values (AV) depending on the change in control factors (cutting speed-Vc, feed rate-f and drill bit-D) during drilling of the Al 5083 H116 alloy. Low roughness values increase the fatigue strength of the final part and affect tribological properties such as lubrication and friction. In the machining of ductile materials, the AV increases the Ra value and negatively affects the tool life.

Drilling tests were conducted using Taguchi L16 orthogonal array. The experimental measurement findings for Ra and AV were adjusted utilizing the Grey Relational Analysis (GRA), the Response Surface Method (RSM) and Artificial Neural Networks (ANN) to generate prediction values. SEM detected drill-tip adhesions and chip morphology and they were analyzed by EDX.

Ra and AV increased as the f increased. Vc affects AV; 86.04% f on Ra and 54.71% Vc on AV were the most effective control parameters. After optimizing Ra and AV using GRA, the f is the most effective control factor. Vc: 120 m/min, f: 0.025 mm/rev and D2 were optimal. ANN predicted with Ra 99.6% and AV 99.8% accurately. Mathematical models are obtained with RSM. The increase in f increased AV, which had a negative effect on Ra, whereas the increase in Vc decreased the adhesion tendency. With the D1 drill bit with the highest flute length, a relatively lower Ra was measured, as it facilitates chip evacuation. In addition, the high correlations of the mathematical models obtained indicate that the models can be used safely.

The novelty of this study is to determine the optimum drilling parameters with GRA and ANN for drilling the necessary holes for the assembly of ammunition wing propulsion systems, especially those produced with Al 5083 H116 alloy, with rivets and bolts.

The study analysed the amount of plate waste in a university refectory in Izmir, Turkey to find ways of minimizing plate waste in the university, providing sustainability and contributing to the development of circular economy and raising awareness about the plate waste problem.

Observation and semi-structured interviews were used to determine the volume of plate waste and level of awareness of academicians, students and administrative staff and suggest sustainable solutions for food waste in university refectories. The data gained from the semi-structured interviews were analysed with qualitative analysis software (MAXQDA®).

Plate waste in the university's refectories is increasing due to the lack of precautionary measures. Academicians, students and administrative staff all showed low awareness rates.

This study is original in investigating theoretically and empirically one of the main reasons for food waste, namely plate waste in mass consumption sites, and evaluating the effect of food waste from an economic, social and environmental perspective.