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This chapter uses the poliheuristic theory of decision-making to analyze the decisions of Israeli prime minister Benjamin Netanyahu. The study examines a series of Netanyahu’s decisions regarding the peace process during 1996–2014. Using Applied Decision Analysis (ADA), this study demonstrates that Netanyahu ruled out alternatives that failed to satisfy alternatives on the non-compensatory decision dimension – his political survivability. The prime minister’s final choices were made from the remaining options according to their ability to maximize net benefits with respect to Netanyahu’s ideological concerns.

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.

The purpose of this paper is to present a hybrid modelling that combines concepts and techniques for scenario building together with a Multi-criteria Decision Aid (MCDA) outranking approach. The paper presents a case to illustrate the proposed methodology.

The research method is a qualitative and quantitative mixture and it is presented as a study case. Bibliographic research is used to construct the theoretical framework. There are a number of studies that develop a sensibility analysis in MCDA modelling; however, none of them explore the robustness of the MCDA solution with use of scenarios variation.

The methodology allows the criteria that must be taken into account, according to the decision makers’ values and preferences. It is interesting to note that, depending on the scenario, different weights were applied for each criterion, and the performances of alternatives under each criterion has changed as well.

This need arises in decision problems that are susceptible to the influence of scenario variation.

This proposal was applied to a real case that has taken into account six alternatives, with a prospective analysis of three scenarios, evaluated by four criteria. The authors use prospective scenarios to choose the criterion weights and alternatives evaluation.

This chapter analyzes Mao Zedong’s decision-making code in foreign policy decisions made during his years as China’s leader: 1949–1976. I examine six decisions in China’s foreign policy during Mao’s tenure: China’s involvement in the Korea war (1951), Annexation of Tibet (1951), attacking the Taiwanese islands (1954), China’s war with India (1962), its involvement in the Vietnamese war (1964), and 1969 incident with the Soviet Army. This, in order to shed more light on the decision-making of leaders from the Far East, and to try and understand insights pertaining to the current foreign policy of China.

The analysis was conducted using the Applied Decision Analysis (ADA) method, based on historical materials, testimonies, and reports. The analysis demonstrates that Mao followed the poliheuristic decision rule in these decisions. Chairman Mao was making his decisions while choosing the most rational, cost-effective decision among alternatives that did not place his political status at risk.

The purpose of this paper is to demonstrate the efficacy of decision analysis in determining the most efficient strategy for installing cable television in the residence halls of Bucknell University.

The decision analysis model compared five distinct approaches for achieving and maintaining a successful delivery of cable television service to students enrolled in this private, residential institution. For each alternative, the model incorporated installation costs, likelihood of installation failure, installation failure costs, likelihood of obsolescence and obsolescence-related costs. In addition to considering the trade-offs between cost, timing and riskiness of the various alternatives, a thorough set of sensitivity analyses was performed to gain insight into the parameters that most strongly influence this decision-making process.

The quantitative model advocated the adoption of the university’s data network as the mode for cable delivery. Sensitivity analysis further supported this notion.

The analysis of this problem incorporated the knowledge and judgments of senior administrators and staff members, thus demonstrating the critical contributions offered by subject-matter experts in advising, informing and launching successful decision analysis projects. Incorporating stakeholder viewpoints enhances model understanding and, eventually, model implementation. Decision analysis represents a powerful approach in communicating uncertainties and advising on the benefits of particular alternatives.

To the best of the researchers’ knowledge, this paper represents an initial attempt to investigate cable delivery options within a decision analysis framework.

The purpose of this paper is to investigate, through a comparative analysis, the applicability of lean manufacturing practices, such as value stream mapping (VSM), for productivity improvement in recycling centres (RCs) aided by multi-criteria decision analysis.

The study is carried out in five RCs that sort the municipal solid waste of Porto Alegre, one of the main cities in Brazil. Since all of the centres present their labour composed by poor communities’ members, cultural and social characteristics may represent an incremental challenge for lean implementation. Further, these centres are organised in cooperatives, in which decisions are taken through a participatory way and all their members are entitled to vote, undermining and retarding the decision-making process.

The integration of a multi-criteria decision-making tool to the lean practices enables the prioritisation of improvements, complementing the final stage of VSM. In particular, this contribution becomes especially important in cooperatives managed by community, where decisions are often complex and time-consuming. Finally, despite the increasing pressure for better performance of RCs, the existent mindset is still far from the private sector, where lean practices were conceived. Further, the findings suggest that, despite processes similarities, it is not feasible to declare the existence of a one-best practice to such scenario.

In theoretical terms, the authors demonstrate through a multi-case study the adequacy of analytic hierarchy process as a decision analysis tool complementary to the VSM, enabling a broader perspective about this subject. Concerning the practical contribution, the comprehension of the adaptation needs for lean practices implementation within the production context of solid waste RCs provides a framework with guidelines for this sector, when incorporating lean activities. Lean practitioners and eventual municipal authorities involved in improving productivity of community-managed RCs might benefit from this framework, since they will be able to emphasise the development of recommended and already tested lean practices that tend to improve their operational performance.

The purpose of this study is modelling of a problem of policing strategy order using a multicriteria method.

For the construction of the impact matrix strategies under the reduction of crime rates, considering a portfolio of crimes, a questionnaire applied to specialists was used. In a second moment, defined the criteria and strategies to be ordered, the multicriteria PROMETHEE II method was used, which with the help of the Visual PROMETHEE software, emulated the systematised data in the impact matrix and produced the final ordering of the most efficient strategies, in the fight against crime, in the perception of decision makers.

As a result, this research revealed that radio patrol, when used in a non-randomised manner, is the most effective policing strategy in reducing the 18 criminal demands studied in the perception of decision makers after data emulation with the PROMETHEE II method.

As research implications, it can be inferred that the use of multicriteria methods in the modelling of problems in public security area can contribute to the rationalisation of use of the available means in the fight against crime in large cities. This research showed that it is possible to use customised policing strategies to absolute reality.

The practical impact of this research lies in optimising the resources available to law enforcement agencies in the fight against crime in general.

It can be inferred that by choosing appropriate strategies to combat local crime, there is a direct implication in optimising the resources that the government makes available to police agencies. This optimisation allows pressure reduction under the public budget for more features. The model for choosing more effective strategies contributes to local crimes decrease, increasing the sense of the population security.

The originality lies in filling a gap in the literature with the elaboration of the impact matrix of policing strategies in reducing criminal indices and in their associated use in ordering strategies through a multicriteria method. This study contributed to applied police intelligence.

The chapter presents an analysis of the decision-making process of leaders on issues of nuclear armament and nuclear disarmament, through four case studies. The first, pertaining armament, is South Africa, with a focus on Pieter Willem Botha, former prime minister and president of South Africa. The second deals with former Libyan President Muammar Gaddafi’s nuclear armament decision. The third case study investigates the decision of former president of South Africa, F. W. De Klerk, on nuclear disarmament. The fourth and final case study uncovers Colonel Muammar Gaddafi’s nuclear disarmament decision.

Using the Applied Decision Analysis (ADA) method historical decisions have been analyzed in this chapter for the purpose of identifying each leader’s ‘decision code’. Specifically, were these decisions based on rational calculations or were they influenced more by cognitive decision processes?

By revealing a ‘decision code’ using a reverse engineering of the decision processes, I conclude that the three leaders placed high importance on security and geopolitics. By analyzing different dimensions and processes that impacted their decision processes, it is evident that while armament decision utilizes the poliheuristic decision rule, disarmament decisions abide by rational calculations.

The purpose of this paper is to observe how to invest in upper-middle income countries via an innovation perspective following global innovation index (GII) by multicriteria decision aid (MCDA) approach, once MCDA was designed to support subjective decisions.

Pearson’s correlation was the milestone for understanding innovation indicators at upper-middle income countries profiles. In a MCDA first step, the analytical hierarchy process (AHP) was applied to obtain the criteria weight. In this step, the judgments or evaluations inputted in AHP were collected from a sample composed by five experts in GII. After getting the criteria weights compose to GII, Borda and Preference Ranking Organization Method for Enrichment Evaluations (PROMÉTHÉE) methods were applied to obtain an MCDA-based GII. The inputs for this second step were: the weights come from AHP output; and the countries performance came from GII data.

As a result, it was found out the upper-middle countries’ rank to invest and groups with countries acting like “hubs” or “bridges” for economic sectors in near countries; when they are grouped according to their maximum and minimum scores profiles, observing not only a particular region but also similar profiles at diverse world areas.

Pearson-AHP-PROMÉTHÉE works as a supportive decision tool for several and complex investment perspectives from criteria and alternatives analysis regarding innovation indicators for upper-middle income countries. This combination also demonstrates grouping possibilities, aligning profiles and not only ranking countries for investment and eliminating others but also grouping countries with similar profiles via innovation indicators MCDA combined application.

Over the past twenty years, the management of F. Hoffman‐La Roche, a Swiss multinational pharmaceutical and chemical producer, has developed a comprehensive process for the analysis of important investment decisions. This process has evolved gradually and naturally, according to management needs and readiness. Today it embodies a full range of decision and risk analysis procedures, which allow rapid but thorough quantitative evaluations of important investment, business development and strategy decisions. The results of this analytical process are routinely presented to top management. In addition, the quantitative evaluation is actively sought out by line managers and functional experts throughout the company.