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In this chapter, I analyze the decision calculus of President Donald Trump, using the Applied Decision Analysis (ADA) method (Mintz, 2005, Mintz & DeRouen, 2010). I analyze seven foreign policy decisions taken in the first six months of Trump’s presidency. I find that in his decision-making process, President Trump applies six dimensions. My analysis reveals that the imagery dimension has affected President Trump’s decisions across the board, and led to the rejection of non-compensatory alternatives. Based on my research, I conclude that President Trump demonstrated a poliheuristic decision code. Furthermore, from my analysis derives that President Trump’s decision-making process is mostly intuitive. Moreover, this chapter reveals a polythink syndrome in Trump’s decision unit, manifested in the battle between his two groups of advisors, known as the nationalists and globalists.

Understanding how leaders make foreign policy and national security decisions is of paramount importance for the policy community and academia. It is our assertion that decisions in these domains can be explained best by tracing the cognitive process leaders go through in formulating and arriving at their decisions, using the Applied Decision Analysis (ADA) method (Mintz, 2005; Mintz & DeRouen, 2010).

Consequently, this chapter summarizes the Applied Decision Analysis method which is utilized throughout the chapters comprising this volume. We then discuss the findings presented in this volume, while demonstrating the merit of both ADA and the poliheuristic theory of decision (Mintz, 2004), in the robust analyses of decisions made by Donald Trump, Vladimir Putin, Recep Tayyip Erdoğan, Benjamin Netanyahu, Winston Churchill, Mao Zedong, Barack Obama, Saddam Hussein, Khaled Mashal, Muammar Gaddafi, Pieter Botha, and Frederik de Klerk. We conclude by providing a brief summary of the case studies which are included in this volume.

This paper aims to provide a review of available published literature in which nanostructures are incorporated into AM printing media as an attempt to improve the properties of the final printed part. The purpose of this article is to summarize the research done to date, to highlight successes in the field, and to identify opportunities that the union of AM and nanotechnology could bring to science and technology.

Research in which metal, ceramic, and carbon nanomaterials have been incorporated into AM technologies such as stereolithography, laser sintering, fused filament fabrication, and three‐dimensional printing is presented. The results of the addition of nanomaterials into these AM processes are reviewed.

The addition of nanostructured materials into the printing media for additive manufacturing affects significantly the properties of the final parts. Challenges in the application of nanomaterials to additive manufacturing are nevertheless numerous.

Each of the AM methods described in this review has its own inherent limitations when nanoparticles are applied with the respective printing media. Overcoming these design boundaries may require the development of new instrumentation for successful AM with nanomaterials.

This review shows that there are many opportunities in the marriage of AM and nanotechnology. Promising results have been published in the application of nanomaterials and AM, yet significant work remains to fully harness their inherent potential. This paper serves the purpose to researchers to explore new nanomaterials‐based composites for additive manufacturing.

Earlier studies on employee turnover have invested enormous scholarly mileage to understand and address human resource challenges. Considering the substantial evidence on the negative and non-linear relationship between employee turnover and firms’ performance, the purpose of this study is to investigate the effects of employee turnover on the social outreach (e.g. breadth of outreach) of microfinance institutions (MFIs), also known as the financial inclusion agenda of the Sustainable Development Goals.

To achieve the study objective, the authors collected unbalanced panel data of 1,391 MFIs, covering a total of 96 economies and a period of 2010–2018. The organizational and macroeconomic data were obtained from the World Bank’s Mix Market and World Development Indicators databases, respectively, and subsequently analysed using the pooled ordinary least squares, random effects model, fixed effects model and generalized method of moments.

Overall, the authors found that employee turnover has a positive impact on the social outreach of MFIs, which suggests that employee turnover reduces organizational blindness and groupthink, potentiates efficiency gains and minimizes retention costs. On the contrary, this study does not find evidence of a non-linear effect of employee turnover on the outreach objectives of MFIs. Meanwhile, these effects were observed to vary depending on the proxy, sub-samples and techniques used in the analysis.

Motivated by the paucity of literature, the study has uniquely investigated the effect of employee turnover on the social outreach objective of MFIs by using relatively recent and global-level data. The study findings can help managers and the human resource departments to make optimum decisions about employee turnover management.