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The purpose of the study is to analyze the risk of violent conflict with the global conflict risk factors in the Middle East economies by using an integrated fuzzy decision approach. For this purpose, five different dimensions and 24 different criteria are defined by analyzing similar studies in the literature. The dataset is borrowed from the European Commission, and experts appointed for the linguistic evaluation of each dimension and criterion. Additionally, fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) methodology is used to weigh dimensions and criteria and Multi-objective Optimization on the basis of Ratio Analysis (MOORA) approach is considered to rank the countries with respect to the conflict risk. Social dimension was concluded to have the highest importance of the Global Conflict Risk Index. Moreover, Syria, Libya, and Saudi Arabia were identified as the countries that have high conflict risk. Because these countries have high risk of facing conflict in the future, it is strongly recommended that they should primarily focus on social factors in order to minimize this risk.

The aim of this study is to examine the effect of trade wars between countries on social factors. For this purpose, six different criteria are selected based on the comprehensive literature review. Additionally, fuzzy DEMATEL approach is considered to weight these criteria. The findings indicate that working life is the most significant criterion. However, free time and leisure and family are at the bottom of the list. Additionally, it is also defined that working life is the most influencing criterion. These results demonstrate that trade wars have the highest impact on the working life of the people. In other sayings, people’s fear of losing their jobs goes up in case of the trade wars. To solve this problem, companies should make official statements to their employees about the situation caused by the trade wars. By making clear explanations, uncertainties in this process can be minimized.

Pressure on business to direct their activities responsibly has been increased during the last years to extent their suitability performance in all economic, social and environmental dimensions. This has motivated businesses and researchers to identify ways to implement sustainable and resilient operations. In the era of economic globalisation, small and medium enterprises (SMEs) are recognised as an engine of sustainable economic development in both the developed and developing world. Their competitiveness drives the economy, both nationally and internationally. SMEs have faced challenges in developing, internationalisation and achieving competitive advantage. Purpose of current study is to identify and analyse the sustainability and resiliency (SR) barriers to SME internationalisation and prioritise the practices to overcome the negative influence of barriers. In this regard, first, barriers and innovative practices have been identified through the literature review. Second, the essential barriers will be selected through reduction steps by the intuitionistic fuzzy Delphi (IF-Delphi) method. After computing the weight of barriers through the IF-DEMATEL method, the practices were prioritised using four multiple attribute decision-making (MADM) methods in an IF environment. Finally, the scores were aggregated by correlation coefficient and standard deviation (CCSD) technique. Results present that ‘Lack of economical resources to global exports’ and ‘Complications in acclimatizing export product design’ are the top priority barriers and ‘Knowledge of global market opportunities’ and ‘Networking with business incubator institutions’ have been recognised as the essential SMEs internationalisation practices. This study contributes to creating a more focussed approach towards the growth of SMEs. The study results would be helpful for industry, policymakers and academia.

The changes in the industry have gone through many stages until today. These changes can be called a transition phase of industries that lasts for years. The process that started with the emergence of the Industry 1.0 concept first came to the concept of Industry 4.0. Recently, Industry 5.0 concepts are spoken around the world. Germany, where the concept of Industry 4.0 first emerged, is leading Industry 4.0 revolution. With the emergence of this concept, different topics such as smart factories, cybersecurity, simulation, 3D printers, and autonomous robots have come to the fore. These subheadings are undoubtedly very important topics for a factory. To fully implement the Industry 4.0 system, these subheadings must be applied and their sustainability must be ensured. In this study, the 3D printer selection process of a factory that wants to fully integrate its factory into a new revolution is discussed. This problem is called a multicriteria decision problem in terms of being very different criteria and alternatives. Decision-making trial and evaluation laboratory (DEMATEL) method was used to solve the problem, and the results were interpreted.

The aim of this study is to examine the significant factors to improve the green nuclear energy investments in the emerging economies. For this purpose, balanced scorecard-based criteria are weighted with DEMATEL methodology. The findings demonstrate that technological improvement and financial issues are the most important issues for the improvement of the green nuclear energy investments in these countries. Nuclear energy working with thorium can also be obtained with proton accelerator technology that is currently quite expensive. Because of this problem, the investors are not willing to make investments for green nuclear energy projects. Hence, emerging countries should make the necessary technological investments to have proton accelerator technologies. With the help of this condition, it will be possible to reduce the cost of green nuclear energy projects which attracts the attention of the investors. This situation has a powerful contribution for the sustainable economic development of these countries.

Nuclear energy is of vital importance for the energy independence of countries. Therefore, some of the countries have given priority to nuclear energy investments. However, there are some risks in nuclear reactors. For this reason, some countries are uneasy about nuclear energy investments. Thorium-based nuclear power plants are also recommended to minimize these risks. It is possible to talk about many advantages of these power plants. However, there are some negative aspects to these investments. In this study, both positive and negative aspects of thorium-based nuclear power plants are discussed simultaneously. In this context, first, the literature was comprehensively examined, and seven different factors were determined. An analysis is then carried out using the DEMATEL method. It is concluded that the cost and uncertainties have the greatest weight. In addition, suitability and physical and chemical reasons are other significant items. The results obtained show that thorium-based nuclear power plants are not very efficient now. In this context, the costs of thorium-based nuclear reactors should be reduced by new research and development activities. Otherwise, the high-cost problem reduces the efficiency of these reactors. With the developing technology, it is necessary to reduce the high costs. If the costs cannot be reduced, financial sustainability of thorium-based nuclear reactors will not be possible, although there are many benefits.

The role of information technology is very important, especially in achieving related performance to optimize supply chain management as recognized by various findings literature. The existence of computer equipment is no longer sufficient to cope with the various industry issues, especially those requiring the latest information from the aspect of visibility and information accuracy. This study focuses on the importance of visibility and accuracy of the information on the coffee supply chain and aims to identify the use of information technology to eliminate problems in the coffee industry, especially in West Java. The study begins by compiling basic assumptions and rules of thought used in research, data collection, data reduction, categorization, analysis, interpretation, and data display, and the conclusion. The data analysis used a decision-making trial and evaluation laboratory (DEMATEL), which was used to determine the representation of critical factors contained in the research dimensions. As a finding the coffee supply chain in West Java has not been responsive and efficient yet, so improvements need to be made to get high added value for regional economic growth. The results of the study also identified several obstacles along the supply chain and solution based on a high level of information accuracy with several challenges to utilize it, namely (1) data and information sharing, (2) forecasting optimization, and (3) collaborative planning. As a suggestion to increase visibility in supply chain management, further research is needed to create relevant software and systems to trace the solutions to the causes and challenges faced to improve the accuracy of the information and its visibility.

This chapter assists in Iran’s start-ups swift internationalisation from the onset. Indeed, it sheds in-depth qualitative and quantitative insights into analysing the propelling factors towards entrepreneurial internationalisation. To accomplish this feat, a mixed method of Systematic Literature Review (SLR), Fuzzy-Delphi (FD) and Fuzzy-DEMATEL (Decision Making Trial and Evaluation Laboratory) – ISM (Interpretive Structural Modelling) – MICMAC (Matrix-based Multiplication Applied to a Classification) (FDIM), along with a multi-scenario analysis have innovatively been applied. As a result, entrepreneur characteristics and an accessible qualified workforce, even in foreign countries, are the most prominent drivers. Most probably, the institutional voids, interconnected benchmarking and the advent of new disruptive technologies form the independent factors which can sharply influence the whole system, particularly the entrepreneur characteristics as a dependent one. Moreover, social media, customer orientation and the domestic market cover autonomous drivers, which can moderately be affected or influence the abovementioned factors.

With the increase in population, the energy needs of countries are also increasing. These countries have difficulties in meeting these increasing needs. Countries that cannot meet this need have to import energy from abroad. This situation adversely affects the current account balance of countries. Nuclear energy investments allow countries to obtain their own energy, although there are some criticisms. In this framework, while some countries in the world increase their nuclear energy investments, some countries do not have any nuclear power plants (NPP). There are 32 such countries where nuclear energy projects are running till date. Therefore, it is very important to determine the socio-economic variables of countries that have nuclear energy investments. In this context, a detailed literature analysis will be made first to determine socio-economic criteria. Then, the importance weights of these factors will be calculated using the Decision Making Trial and Evaluation Laboratory (DEMATEL) method. The profiles of the countries that make nuclear energy investments demonstrate that education level is the most essential socio-economic factor for the improvement of nuclear energy investments. Also, income inequality is another important variable in this regard. However, consumption behaviour and saving behaviour have the lowest weights.

The decision to become international is a highlighted organisational decision that affects all dimensions at all firm levels. Human resources are also among the parts of the organisation affected by this decision. Paying attention to employees can speed up and facilitate this process. Organisational integrity is one of the most significant issues that must be considered. In this regard, identifying, investigating and planning to deal with the destructive effects that may influence the employees of small and medium-sized enterprise (SMEs) in internationalisation, are among the subjects that have so far received less attention and should be studied more. The present study explores the destructive influences of internationalisation on the employees of SMEs by a hybrid multi-layer decision-making model-psychological solution. First, by reviewing the literature, the destructive impacts of internationalisation on employees are extracted. In the next stage, these factors are screened according to the condition of the SMEs in an emerging economy by interval-valued intuitionistic hesitant fuzzy Delphi (IVIHF-Delphi). The impact of these factors on each other is then evaluated applying interval-valued intuitionistic hesitant fuzzy DEMATEL-based ANP (IVIHF-DANP). Consequently, the highlighted destructive impacts are determined and the psychological solutions to face them are provided.