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This study aimed to determine the expectations of students from mathematics teachers in the planning phase of lesson study (LS) in mathematics classrooms.

This study reported only a part of large-scale action research. The participants were Grade 8 students selected by the convenience sampling method. The data were obtained through open-ended questions. The content analysis method was used to analyze the data.

Four categories emerged: connection, technology-supported teaching, use of concrete materials, practice, and teacher behavior and teaching style.

This study reveals how students in a different culture and education system, such as Türkiye, want to learn mathematics in the LS process of Japanese origin. It also gives some important clues for applying LS in a different culture.

This study may attract the attention of educational stakeholders who want to implement LS in mathematics classrooms by considering student perspectives.

Due to the nature of LS, this study may emphasize teacher–student and teacher–teacher interactions. Thus, it can draw attention to the importance of social learning environments where students take responsibility and interact.

This study emphasizes the importance of listening to student voices in LS. Some ideas about mathematics teaching in Turkey should also be given. Finally, it can provide a good basis for understanding and comparing LS practices in different cultures and understandings.

This study investigated the problem-solving strategies used in solving problems in the learning domain of numbers and operations in mathematics textbooks for Turkish middle schools.

To this end, four middle school mathematics textbooks published by the Ministry of National Education of Turkey (MEB in Turkish), one from each grade level (Grades 5–8), were examined. The data in this document analysis study were analyzed using semantic content analysis.

The findings revealed that mathematics textbooks' most used problem-solving strategies for each level were drawing a figure (diagram), writing equality and inequality, making a table and making a systematic list. Drawing a diagram (figure) strategy was the most used strategy at each grade level, while working backwards was the least used one. Another finding was that finding a pattern and solving a simpler analogous problem strategies were rarely used at each grade level.

This study points out how problem-solving strategies used Grades 5-8 mathematics textbooks in a different culture like Türkiye. So, it may also give some important clues for applying problem-solving strategies in mathematics classrooms in a different culture.

This study may draw the attention of educational stakeholders and textbook authors who want to understand and implement problem-solving strategies in mathematics classrooms by considering a different cultural perspective.

This study may point to the importance of using problem-solving strategies in mathematics and daily and social learning environments due to the nature of mathematical problem-solving and problem-solving strategies.

This document review study examined the problem-solving strategies used in Turkish middle school mathematics textbooks, and the data were analyzed using semantic content analysis. The findings revealed that mathematics textbooks' most used problem solving strategies for each level were drawing a figure (diagram), writing equality and inequality, making a table and making a systematic list. Drawing a diagram (figure) strategy was the most used strategy at each grade level, while working backwards was the least used one. Another finding was that finding a pattern and solving a simpler analogous problem strategies were rarely used at each grade level.

This chapter reports on an ethnographic case study of how a group of elementary school teachers designed technology enhanced learning with mobile technology (e.g. notebooks, tablet computers and mobile phones) to facilitate students’ development of literacy and twenty-first century competencies. These teachers designed the school’s literacy pedagogical approach, leveraging the use of technology, namely digital storytelling. The school in this case study is one of the eight Future Schools in Singapore under the FutureSchools@Singapore program. The school has been providing one-to-one mobile computing learning devices and wireless Internet access for its students. The introduction of technology in the classroom makes it possible for twenty-first century competencies to be integrated into literacy development. The conversational framework is used as a framework to examine how the design of the digital storytelling pedagogical approach brings about the various teaching–learning activities – acquisition, inquiry, practice, production, discussion and collaboration. The use of digital storytelling as an approach to integrate information communication technology (ICT) into the classroom has not only modified how ICT is being used in the school, it has redefined how ICT could be used to engage young learners. It has fundamentally transformed conventional storytelling with the use of current state-of-the-shelf (i.e. easily and widely available) technologies. This case study also outlines the processes involved in improving the design of digital storytelling over the years by the teachers. The ecosystem of the school is also taken into consideration and described in detail. Findings suggest the importance of the collaborative efforts of the teachers in the continuous improvements made to this design. The adoption of a learning design framework, such as the one used in this study, can be beneficial to ensure a systematic approach to the design of learning. In addition, the availability of technological infrastructure and computing devices are necessary for the seamless use of technology in the classroom. The just-in-time learning approach is adopted for students to learn technology as they are developing their digital stories.

This paper aims to explore Turkey’s current energy status with a on renewable energy sources (RES) cooperation mechanisms, within the framework of RES Directive 2009/28/EC. The study uses the SWOT (strengths, weaknesses, opportunities, threats) analysis for drawing results about perspectives of RES cooperation between Turkey and European Union (EU) Member States. In particular, the SWOT analysis provides a clearer view of expanding RES in Turkey, as well as the level of utilization and potential of cooperation mechanisms and renewable energy in the country.

The approach followed incorporates desktop analysis, stakeholders’ mapping and involvement, key factors’ identification and results analysis and validation. The adopted approach is based on research conducted within the context of the “Bringing Europe and Third countries closer together through renewable Energies (BETTER)” (project number: IEE/11/845/SI2.616378) project, co-financed by the Intelligent Energy Europe Programme.

Based on the SWOT analysis conducted for Turkey, there are huge opportunities for RES deployment and cooperation in the country, because of its large unexploited RES potential. Turkey is a country with strategic importance, e.g. regarding energy security. Substantial savings can occur for the EU28 Member States through this cooperation, whereas Turkey will also benefit through income and investments, as well as technology transfers and further synergies associated with the cooperation. For the above potentials to be reached, nevertheless, national policies for RES development would have to be strengthened substantially, and non-economic barriers mitigated.

The potential of Turkey to utilise cooperation mechanisms provides opportunities for RES exporting between the country and EU countries. An analysis of these opportunities for cooperation will allow drawing clearer conclusions on cooperation potentials and business cases for Turkey.

Industries start focusing on the green concept in supply chain management (SCM) to reduce waste and emission, preserve the quality of natural resources and decrease the consumption of hazardous/harmful materials for better product life cycle, which not only improve environmental performance but also economic performance. But, for industries, it is still very difficult to understand and analyze the effect of individual activities and their corresponding contribution. The purpose of this paper is to identify and analyze selected issues in green supply chain management for the implementation of the green concept in industries.

To fulfill the objectives of this paper, analytical network process-multi-objective optimization using rational analysis (ANP-MOORA) techniques are used. In the proposed methodologies, different issues, sub-issues, and alternatives are identified for the selection of the best supply chain using ANP which is being followed by the MOORA method.

Findings of this paper are highly valuable for the Indian manufacturing industries for the management of green supply chain (GSC) issues.

In this research, only selected issues are identified and analyzed for the management of GSCs. Further, it is believed that an ANP-based framework helps to take up the explicit account of multi-criteria decision making (MCDM) approaches in decision making and for improving and selecting the best supply chain. Other issues in GSC can be analyzed and further extended by other MCDM approaches.

This paper identified different type of supply chains and their issues. The systematic way of analyzing the green concept in supply chain helps the researchers and managers to implement green management practices for improving economic and environmental performance.

Ankara has experienced a recent rapid increase of residential communities that promise residents a comfortable lifestyle with strictly controlled entrances and several amenities. These luxury residential developments come in different forms, and are distributed unevenly across Ankara’s neighborhoods. Some neighborhoods become the center of gravity, and act like a magnet for these high-cost residential developments; however, most developers avoid making such costly investments in some other neighborhoods, which leads to an unfair distribution of profit across different locations in Ankara. The purpose of this paper is to examine the different factors affecting the site selection of different types of these real estate developments.

The aim of this study has been to examine the factors affecting the site selection of different types of access-restricted housing developments through a multiple discriminant analysis (DA).

The results of the analysis revealed that distance from the city center and the unit price of the current housing stock are associated with high scores in the discrimination of neighborhoods of different types of residential communities.

This paper implied a DA to create a better understanding of the site selection criteria behind access-restricted housing developments for policy makers to make better investment and management decisions.

The paper discusses the factors affecting the site selection of access-restricted residential communities in Ankara in order to show uneven distribution of profit across different locations caused by these developments.

This paper aims to evaluate the market concentration and competition in the European Banking Sector using an integrated multi-criteria decision-making approach under the fuzzy environment.

The hybrid model combining fuzzy decision-making trial and evaluation laboratory (DEMATEL), fuzzy analytic network process (ANP) and fuzzy VIKOR methods is applied to measure the market competition and concentration in the European Banking Sector. For this purpose, two academicians and one expert from banking sector with at least five-year experiences are selected to evaluate the dimensions, criteria and alternatives. The academicians are also appointed to define the decision-making problem and determine the dimensions and the criteria on the basis of related literature. The implementation of the model has been constructed in three main phases. The first phase consists of the fuzzy DEMATEL technique for understanding the impact-relation map among the dimensions. The second phase includes the fuzzy ANP method for measuring the relative importance of the criteria. The last phase comprises the fuzzy VIKOR approach to rank the alternatives with the values of the Herfindahl–Hirschman Index (HHI).

Turkey, France, England and Germany are placed in the competitive market structure of the European Banking Sector respectively. Additionally, the comparative results of the study confirm the market shares and the competitive policies of the European and Turkish Banking Sector.

The novelty of the paper is to construct a hybrid multi-criteria decision-making model with the proposed HHI scales under the fuzzy environment and defined competition dimensions and criteria based on the literature for the European Banking Industry.

The aim of this study is to offer evidence-based knowledge of the most popular research topics in studies on spiritual leadership (SL) and the research approaches and theories in use. Another aim is to create a comprehensive research framework covering the antecedents and outcomes of SL, as well as the underlying mechanisms and conditional factors. This study also synthesizes future research avenues presented in the literature.

This study used a systematic literature review method. The presented analysis covered both bibliometric studies and in-depth manual content analysis. In total, 274 articles indexed in the Scopus database were analyzed, with a particular focus on 126 empirical papers.

This study shows that most of the research took place in developing countries and focused on the links between SL and workplace spirituality, employee well-being and engagement. It provides a complex research framework which orders previous variables according to their levels. Future research is required that would use a multilevel research approach and determine the impact of SL on society and the leaders themselves, as well as determining the reverse impact of organizational performance on the development of SL.

This study takes advantages of both bibliometric and in-depth content analysis to expand the understanding of the state of the art in SL research. It demonstrates how different factors contribute to SL and how they subsequently influence outcomes. It also offers numerous future research directions which go beyond those identified so far in the literature to further develop the theory of SL.

This study aims to focus on how preservice teachers' academic achievements, their frequencies of connecting to the distance learning management system, their gender and the related sub-scales influence their Web-based self-efficacies (WEB-PCK) and their attitudes towards distance education (WBI).

In the study, the structural equality model was used. In the path analysis, the maximum likelihood estimation method was used to predict the parameters of the model. This method allows determining the highest values for the population and the probability of the sample value to occur.

It was found that the sub-scale of Web communication (WEB-C) had a high level of direct and positive influence on the male preservice teachers' self-efficacy perceptions. As for the female preservice teachers, WEB-C did not have any direct influence on their self-efficacy perceptions. For the male preservice teachers, Web pedagogy (WEB-PC) had positive influence on their self-efficacy perceptions (β = 0.193), while the sub-scale of WEB-PC had a high level of influence on the female preservice teachers' self-efficacy perceptions (β = 0.534).

In the study, the purpose of was to examine the effects of the attitudes of the preservice teachers towards Web general (WEB-G), Web-Communication (WEB-C), Web pedagogical knowledge (WEB-PK), Web pedagogical self-efficacy (WEB-PCK) and Web-based instruction (WBI) with the help of the structural equation model with respect to gender, frequency of connection to the internet and academic achievement grades.

The main purpose of this study is to provide a comprehensive review and critical insights of the application of fuzzy methods in modeling, assessing and understanding the various aspects of green and sustainable supply chains (SSCs).

The present study conducts a systematic literature review (SLR) and bibliometric analysis of 252 research articles. This study employs various tools such as VOSviewer version 1.6.10, Publish or Perish, Mendeley and Excel that aid in descriptive analysis, bibliometric analysis and network visualization. These tools have been used for performing citation analysis, top authors' analysis, co-occurrence of keywords, cluster and content analysis.

The authors have divided the literature into seven application areas and discussed detailed insights. This study has observed that research in the social sustainability area, including various issues like health and safety, labor rights, discrimination, etc. is scarce. Integration of the Industry 4.0 technologies like blockchain, big data analytics, Internet of Things (IoT) with the sustainable and green supply chain (GSC) is a promising field for future research.

The authors' contribution primarily lies in providing the integrated framework which shows the changing trends in the use of fuzzy methods in the sustainability area classifying and consolidating green and sustainable supply chain management (SSCM) literature in seven major areas where fuzzy methods are predominantly applied. These areas have been obtained after the analysis of clusters and content analysis of the literature presenting key insights from the past and developing the conceptual framework for future research studies.