Many critics of rational choice theory aim at unrealistic psychological assumption of this theory. To what extent is this kind of critic relevant? If we analyze the formalized scheme of choice than we will find difficult to interpret this scheme as psychological theory that develops intentional explanations. We should rather understand this theory as a theory developing causal explanations that are generated by the structure of surrounding. Intencionality in this theory is only a auxiliary tool and the explanation is made in terms of structure, not in terms of mental states. From this perspective most of the critic aim at wrong target.

A well-known fact about positional election procedures is that its ranking of m alternatives can change when some of the alternatives are removed from consideration—given a positional procedure on each of 2, 3, …, m alternatives and a collective preference order for each distinct subset of the m alternatives. Saari has established that with few exceptions, we can find a voter profile for which the collective preference order for each subset under the according positional procedure is the one given. However, Saari's results do not quantify the likelihood of finding such voter profiles. For small numbers of alternatives, William Gehrlein developed a statistical model to explore the probabilities that particular collective preference orders on subsets of alternatives can occur for large electorates. One goal of this research is to determine whether changes in the collective preference order as alternatives are removed can be considered to be the norm or an outlier for positional procedures. This dissertation extends the research headed by Gehrlein in two directions. One, I generalize his statistical model to explore probabilities for iterated election procedures. Gehrlein's model previously produced results only for three alternatives and in limited cases for four alternatives. I have extended this model to produce results for up to five alternatives, including analysis of instant-runoff voting and runoff elections. Two, Gehrlein's model required specific conditions on the probability distribution of individual voter preferences across the population. I relax this assumption so that for any probability distribution of individual voter preferences across the population, I can explore the probability that a collective preference order is inconsistent with the outcomes when alternatives are removed. These results provide a foundation for discussing the impact of removing alternatives on elections across all large electorates. I also apply these results to two recent United States elections wherein a third-party candidate received a significant share of the votes: the 1992 U.S. Presidential election and the 1998 Minnesota Gubernatorial election. Overall, my research will suggest that as the number of alternatives increases, the likelihood of finding changes in the collective preference order as alternatives are removed will approach one.

American policy makers primarily embrace a deterrent-based policing agenda to curb illicit drug trafficking and use that relies on the principles of the economic price elasticity of demand (Boynum & Reuter, 2005). This counter-drug platform includes three fundamental programs: arresting offenders, seizing illicit drugs, and eradicating horticultural sources of illicit drugs (U.S. DEA, 2015). One of the main goals of these programs is to deter illegal trafficking and use by increasing the price of illicit substances so they are no longer attractive to consumers. The United States has weathered various drug use epidemics during its history, and currently it is facing a heroin and opioid epidemic (Dean, 2017). The present multi-dimensional study is guided by three broad goals: to assess the dynamics of illicit drug pricing and the economic price elasticity of demand perspective; to evaluate whether drug trafficking organizations respond to theoretically deterrence based counter-drug law enforcement efforts; and to assess why law enforcement activities are (or are not) effective in controlling illegal drug markets. To accomplish these three broad goals, four separate yet linked focal points comprised of quantitative, qualitative, and mixed-methods evaluations of official data are examined. The findings in the study call into question the current American counter-drug law enforcement agenda being used to address the ongoing heroin epidemic. Furthermore, the results shine light on various shortcomings in overall U.S. counter-drug policy. Finally, the study calls for a new approach to address illicit drug trafficking and use in the U.S.

This thesis studies ultrafilters and their various applications in topology, social choice theory and construction of a nonstandard universe. First of all, we introduce basic properties of ultrafilters and show how to use them to construct nonstandard framework. Next, we prove Arrow's impossibility theorem which states that every electoral system with a finite set of voters satisfying certain natural conditions necessarily admits at least one dictator who determines the society's preferences. However, if the set of voters is infinite, this is not true anymore and ultrafilters play a key role in the proof. We present two counterexamples in the infinite case using nonstandard framework. A similar theorem holds in the case where the preferences are real functions. Again, we show two examples of electoral systems that are not dictatorial - one using Banach limits and the other using hyperfinite sums. Finally, we use the ultrafilters to construct the Čech-Stone compactification of natural numbers. We show that the nonstandard enlargement of natural numbers equipped with suitable topology is the Čech-Stone compactification of the set of natural numbers. 1

Indiana University-Purdue University Indianapolis (IUPUI) / This thesis combines human and machine intelligence for consensus decision-making, and it contains four interrelated research areas. Before presenting the four research areas, this thesis presents a literature review on decision-making using two criteria: trust and risk. The analysis involves studying the individual and the multi-stakeholder decision-making. Also, it explores the relationship between trust and risk to provide insight on how to apply them when making any decision. This thesis presents a grouping procedure of the existing trust-based multi-stakeholder decision-making schemes by considering the group decision-making process and models. In the first research area, this thesis presents the foundation of building multi-stakeholder consensus decision-making (MSCDM). This thesis describes trust-based multi-stakeholder decision-making for water allocation to help the participants select a solution that comes from the best model. Several criteria are involved when deciding on a solution such as trust, damage, and benefit. This thesis considers Jain's fairness index as an indicator of reaching balance or equality for the stakeholder's needs. The preferred scenario is when having a high trust, low damages and high benefits. The worst scenario involves having low trust, high damage, and low benefit. The model is dynamic by adapting to the changes over time. The decision to select is the solution that is fair for almost everyone. In the second research area, this thesis presents a MSCDM, which is a generic framework that coordinates the decision-making rounds among stakeholders based on their influence toward each other, as represented by the trust relationship among them. This thesis describes the MSCDM framework that helps to find a decision the stakeholders can agree upon. Reaching a consensus decision might require several rounds where stakeholders negotiate by rating each other. This thesis presents the results of implementing MSCDM and evaluates the effect of trust on the consensus achievement and the reduction in the number of rounds needed to reach the final decision. This thesis presents Rating Convergence in the implemented MSCDM framework, and such convergence is a result of changes in the stakeholders' rating behavior in each round. This thesis evaluates the effect of trust on the rating changes by measuring the distance of the choices made by the stakeholders. Trust is useful in decreasing the distances. In the third research area, this thesis presents Rating Convergence in the implemented MSCDM framework, and such convergence is a result of changes in stakeholders' rating behavior in each round. This thesis evaluates the effect of trust on the rating changes by measuring the perturbation in the rating matrix. Trust is useful in increasing the rating matrix perturbation. Such perturbation helps to decrease the number of rounds. Therefore, trust helps to increase the speed of agreeing upon the same decision through the influence. In the fourth research area, this thesis presents Rating Aggregation operators in the implemented MSCDM framework. This thesis addresses the need for aggregating the stakeholders' ratings while they negotiate on the round of decisions to compute the consensus achievement. This thesis presents four aggregation operators: weighted sum (WS), weighted product (WP), weighted product similarity measure (WPSM), and weighted exponent similarity measure (WESM). This thesis studies the performance of those aggregation operators in terms of consensus achievement and the number of rounds needed. The consensus threshold controls the performance of these operators. The contribution of this thesis lays the foundation for developing a framework for MSCDM that facilitates reaching the consensus decision by accounting for the stakeholders' influences toward one another. Trust represents the influence.

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Background: The victimization of children has been a prevalent issue long before the emergence of social media. The rapid development of the world wide web during the last decades has created more ways to get access to anyone anywhere at any time. This has brought along a yearly increase in the number of children who are abused online with the help of technological devices. So far, the existing research in the field of online grooming has been limited and especially in Estonia. Although the problem has been acknowledged, little is known about the offenders and how they target children for sexual purposes. Aim: The thesis aims to create a fuller picture of different types of online offenders in Estonia by using typology formed by the European Online Grooming Project. Furthermore, it looks into the rational choice processes of these offenders and how they establish a connection with their victims for personal sexual gratification while minimizing their risk of getting caught. Method: The data consists of 13 court cases of offenders who were found guilty in 2017-2022. The documents were accessed in Estonian Harju County Court and analyzed using thematic analysis. Results: The results showed that the most common types of online offenders in Estonia are intimacy-seeking and adaptable. The findings add support to previous research, showing that most online offenders use different controlling tactics like emotional abuse, threatening, blackmailing, and flattery to benefit their chances of gaining sexual gratification from the relationship. To minimize their chances of getting caught, the offenders had chosen vulnerable victims, faked details about their personal information, used different social media applications to their own benefit, and consistently asked the victims about their surrounding environment. Conclusion: The findings of the study are in line with previous research about the typologies and strategies of online groomers whilst providing new data for future research on the topic. The hope is that with a deeper analysis of the groomers behavior, the study helps to create further preventative measures to decrease the number of potential future victims.

Background: In today's society, there is more pressure to be sustainable and not least in the financial world. Several agreements, such as the Paris Agreement, have been created to steer countries towards more sustainability. When it comes to the economy, several SRI strategies have been developed to serve the same purpose. However, the problem that emerges is that investors who invest sustainably and use these strategies can lose returns and thus depart from their main goal of maximizing profits.   Purpose: The purpose of this paper is to examine how SRI strategies are used by investors when constructing their portfolios in terms of profit maximization. The paper will thus conclude if the underlying motivation behind the choice of strategy is affected by maximizing profit.   Method and implementation: By conducting a qualitative study and interviewing several fund managers at the largest banks and fund companies in Sweden, the authors aim to answer the research question. The answers provided by the respondents are presented and analyzed in the empirical section and linked to the study's theory.   Conclusion: In this study, there is clearly shown that by investing, according to SRI, a professional investor is still able to profit maximize. The authors, therefore, see that the new way of being rational as an investor is to include SRI strategies. The relationship with being both sustainable and profit-maximizing can be seen as a significant motivating factor. The same can be said about reduced ESG risk and creating legitimacy towards customers. Furthermore, a combination of strategies can be seen as a way to create an optimal portfolio by the investors. This further proves that sustainable investing is the most rational way of investing and a way to achieve an investors main goal to profit maximize.

This research examines the influence of tourism on migrants’ decisions to move to La Fortuna, Costa Rica, located in the buffer zone of Arenal National Park. Tourism is integral to Costa Rica’s economy and is closely connected to its national parks. Ecotourism is proposed as a non-extractive way for local people to benefit from natural resources, thus contributing to economic development and supporting conservation initiatives. However, if employment opportunities related to tourism encourage high rates of migration to edges of parks, then the resulting population growth could be detrimental to biodiversity conservation goals. Forty participants were interviewed for this project, which used cultural consensus analysis and semi-structured interviews to examine participants’ own behavior as well as shared cultural knowledge of factors that influence migration decisions. Results show that while employment opportunity was influential, other factors such as social stability and tranquility were equally important in participants’ motivations for relocating.

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