As mentioned in the introduction, the objective of this work has been to get a more realistic understanding of economic decision making processes by adopting an interdisciplinary approach which takes into consideration at the same time economic and psychological issues. The research in particular has been focused on the psychological concept of categorization, which in the standard economic theory has received until now no attention, and on its implications for decision making. The three experimental studies conducted in this work provide empirical evidence that individuals don not behave according to the perfect rationality and maximization assumptions which underly the SEUT, but rather as bounded rational satisfiers who try to simplify the decision problems they face through the process of categorization. The results of the first experimental study, on bilateral integrative negotiation, show that most of the people categorize a continuum of outcomes in two categories (satisfying/not satisfying), and treat all the options within each category as equivalent. This process of categorization leads the negotiators to make suboptimal agreements and to what I call the ?Zone of Agreement Bias? (ZAB). The experimental study on committees? decision making with logrolling provides evidence of how the categorization of outcomes in satisfying/not satisfying can affect the process of coalition formation in multi-issue decisions. In the first experiment, involving 3-issues and 3-parties decisions under majority rule, the categorization of outcomes leads most of the individuals to form suboptimal coalitions and make Pareto-dominated agreements. The second experiment, aimed at comparing the suboptimizing effect of categorization under majority and unanimity rule, shows that the unanimity rule can lead to a much higher rate of optimal agreements than the majority rule. The third experiment, involving 4-issues and 4-parties decisions provides evidence that the results of experiments 1 and 2 hold even when the level of complexity of the decision problem increases.

An information society under constant development enables organizations to have access to a growing supply of information. Handled in an efficient manner, information can be a valuable, competitive resource. This can be achieved by investing in a Business Intelligence system (BI system). BI system's main function is to manage large amounts of unstructured data, convert it into useful information, which in turn will be used as a basis for performance management. The purpose of this study is that, through qualitative, semi-structured, in-depth interviews, to examine the perceived benefit of using BI systems to support business governance. This benefit is analyzed using theories such as traditional, bounded and flexible-bounded rationality, cognitive bias and theories of man's ability to think intuitively and reflective. The benefits of BI systems will also be analyzed using the theories of the communication process, conflicts in decision making and DIKW pyramid describing the process data, information, knowledge, wisdom. It also analyzes the benefits of BI systems using agency theory. The results show that users of BI systems are experiencing the benefits as follow: BI systems provide increased access to information in the organization, increasing the ability to handle large amounts of information, creating more fact-based decisions, freeing up time for analysis, reducing opportunistic behavior and facilitates internal communication. This creates flexibility in the bounded rationality, a more reflective decision-making process that improves the prospects to make rational decisions. Users go higher up in DIKW pyramid. BI systems reduce the information asymmetry between principal and agent. BI systems reduce uncertainty in decision reducing the risk of conflict. Training and practice are essential for BI systems to generate benefits. Unlike previous research, this study shows that BI systems are well integrated into organizations as well as live up to expectations. A new aspect of BI systems is that they reduce the risk of opportunistic behavior.

Plusieurs études ont révélé des problèmes récurrents au niveau de la performance et de la gestion des projets de reconstruction à la suite des catastrophes dans les pays en voie de développement (PEVD). Ces projets doivent faire face à des conditions de vulnérabilité des habitants, engendrées par des facteurs politiques, économiques, sociaux et culturels. Les divers participants - contraints par un accès limité à l’information - sont confrontés à travailler dans un contexte hostile ayant un niveau d’incertitude élevé. Ce niveau d’incertitude augmente les risques du projet de reconstruction, particulièrement le risque d’insatisfaction des usagers. Ce travail vise à mettre en parallèle l’analyse du système organisationnel adopté pour la conduite d’un projet de reconstruction et celle du niveau de satisfaction des usagers. Il émet l’hypothèse suivante: deux facteurs organisationnels influencent largement le niveau de satisfaction de la part des bénéficiaires d’un projet de reconstruction de logements à la suite d’un désastre en PEVD: (i) le niveau de centralisation de la prise de décisions (jumelée au manque d’information) au sein de la Multi-Organisation Temporaire (MOT); et (ii) la capacité de la structure organisationnelle de la MOT d’impliquer la participation active des usagers au niveau de la planification, de la gestion, du financement et du design du projet. Afin d’atteindre cet objectif, une recherche empirique fut menée pour analyser le cas des inondations ayant eu lieu en 2003 dans une ville dans la région du Maghreb. Le niveau de satisfaction des usagers a été déterminé grâce à des indicateurs de transfert de technologie qui se basent sur l’analyse du « Cadre Logique » - une méthode d’évaluation largement utilisée dans le domaine du développement international. Les résultats de la recherche ne visent pas à identifier une relation de cause à effet entre les deux variables étudiées (la structure organisationnelle et la satisfaction des usagers). Cependant, ils mettent en évidence certains principes du montage et de la gestion des projets qui peuvent être mis en place pour l’amélioration des pratiques de reconstruction. / Construction projects are temporary endeavors with a defined beginning and end, conducted by a temporary and multi-disciplinary team called a Temporary Multi-Organization (TMO). In the hostile environment of post-disaster reconstruction, participants of the TMO must confront high levels of uncertainty which increases project risks. The non-acceptability of project outcomes is one of the most frequent risks reported in literature (UNDRO, 1982; Barenstein, 2008; Dikmen, 2006). Acceptability is related with users’ satisfaction. However, according to the theory of bounded rationality, actors of the TMO - confronted with limited information and resources - cannot achieve an optimal solution. Instead, both project actors and end-users accept a «satisficing» [SIC] solution (Simon, 2004). This study hypothesizes that two organizational factors have an important influence on user satisfaction in post-disaster housing projects: (i) centralized decision making (coupled with lack of information); and (ii) the capacity of the structure of the Temporary Multi-Organization (TMO) to take into account the active participation of users in project planning, management, financing and design. A case study of a post-disaster housing project in the Maghreb region helps us validate this hypothesis. Building up on this hypothesis, indicators of technology transfer (as proposed by the Logical Framework Analysis) serve as a basis to assess users’ satisfaction. The research does not establish a cause-effect relationship between the two variables of the study. However, the analysis of the structure of the TMO and users’ satisfaction highlight several principles, related with the project initiation and management, that can be implemented to improve reconstruction practices in developing countries.

In questo lavoro viene analizzata la possibilità che le fluttuazioni economiche possano essere descritte attraverso l'interazione di agenti a razionalità limitata. Accanto a questa ipotesi, si assume anche che gli agenti sono eterogenei. Questi due elementi si inseriscono all'interno del contesto economico che è visto come un sistema complesso in evoluzione popolato da agenti che interagiscono tra loro impiegando differenti strategie decisionali. Questa tesi si sviluppa su tre modelli di riferimento, sviluppati in capitoli separati. Nel primo si studia un mercato immobiliare utilizzando un modello di equilibrio parziale in cui l'ipotesi di aspettative razionali è sostituita da un meccanismo di interazione fra cartisti e fondamentalisti, che è in grado di generare endogenamente lo sviluppo di fasi di boom e bust. Nel secondo viene mostrato come la selezione evolutiva tra diverse strategie di previsione possa spiegare il coordinamento fra comportamenti individuali. Nel terzo si considera un semplice modello macroeconomico costituito da domanda aggregata, offerta aggregata e una regola di politica monetaria per analizzare aspetti quali l'effetto stabilizzante delle diverse politiche monetarie in un sistema popolato da agenti eterogenei. / We investigate the possibility that economic fluctuations can be explained through the interaction of boundedly rational agents, that is, agents are not assumed to be rational. In deviating from rationality and modeling agents as boundedly rational, it is often assumed that agents are heterogeneous. Bounded rationality and learning in a complex environment naturally fit with heterogeneous expectations, with the economy viewed as complex evolving system composed of many different interacting agents, using different decision strategies. This thesis is built around three main economic frameworks, which are developed in separate chapters. In chapter 2 we study the housing market using a partial equilibrium model in which the rational expectations hypothesis is relaxed in favor of chartist-fundamentalist mechanism to allow for the endogenous development of bubbles. In chapter 3 we present evidence that evolutionary selection among different forecasting heterogeneous heuristics can explain coordination on individual behavior. In chapter 4 we consider a simple model made up by the standard aggregate demand function, the New Keynesian Phillips curve and a Taylor rule to deal with different issues, such as the stabilizing effect of different monetary policies in a system populated by heterogeneous agents.

Made available in DSpace on 2010-04-20T20:57:02Z (GMT). No. of bitstreams: 3 AlessandraSFGodoi2006.pdf.jpg: 19061 bytes, checksum: 5263ea29f172cb43b07515b286172b45 (MD5) AlessandraSFGodoi2006.pdf.txt: 614967 bytes, checksum: 24e37083b48ca5557be63aeda5dfcd58 (MD5) AlessandraSFGodoi2006.pdf: 1323544 bytes, checksum: 0f61d5b19c999541c7bf435400b8fed8 (MD5) Previous issue date: 2006-08-09T00:00:00Z / Esta tese oferece uma releitura crítica da influente obra de Herbert A. Simon e alguns de seus seguidores sobre a decisão de modo geral, tendo em vista um problema específico: a decisão de investimento da firma. A partir de um exercício de aplicação teórica, bem como de um conjunto de oito estudos de caso, propõe-se um modelo sintético ou roteiro para a compreensão da decisão de investimento da firma segundo uma perspectiva processual que se baseia na idéia central de construção de uma representação da realidade. Esta estaria sujeita a limitações de caráter cognitivo à coleta e ao processamento de informações (racionalidade limitada), bem como ao condicionamento das possibilidades de ação efetivamente disponíveis ao empreendedor, mediante uma rede de sinergias e escolhas menores cujas conseqüências não foi possível prever ao longo de um amplo leque de dimensões, a decisões passadas (liberdade limitada, conceito original introduzido por esta tese). Com base nessa estrutura, divide-se o processo decisório em três etapas (busca, análise e escolha), discutindo-se em detalhe cada um deles e ressaltando elementos importantes que conferem estrutura e coerência ao processo, dado o pressuposto de que a otimização irrestrita neoclássica não é alcançável, na prática, no caso da decisão de investimento da firma. / This thesis offers an interpretation of the influential work of Herbert A. Simon and some of his followers regarding decision-making as a whole, considering a specific problem: the investment decision by firms. Combining insights obtained from the application of the theory and from the conduct of eight case studies, we propose a synthetic model for the understanding of firm investment decisions according to a processual perspective, based on the central idea of the construction by entrepreneurs of a representation of reality. This representation is subject to cognitive limitations related to difficulties in collecting and processing information (bounded rationality), as well as to the conditioning of possibilities of action truly available to the entrepreneur to past choices, through a net of synergies and smaller decisions, the consequences of which it was not possible to forecast precisely along a large scope of dimensions (bounded liberty, an original concept introduced by this thesis). Based on this structure, the decision process is divided in three stages (search, analysis and choice), each of them discussed in detail with the intention of pointing out the most important elements that confer structure and coherence to the process, assuming that full neoclassical rationality is not attainable in practical complex decisions.

This paper examines causal mechanisms of the process leading up to the Russian military intervention in Syria that began in September 2015. It aims to concretize the causal processes of three different hypotheses that are based on commonplace assumptions of Russian foreign policy on Syria. It thoroughly explores three different causal paths, mapping events that may have had implications to the apparent change of heart within the Russian leadership. The paper analyses the relevance of these processes through a rational choice theory framework.

Cette thèse porte sur l’étude de la mémoire longue de la volatilité des rendements d’actions. Dans une première partie, nous apportons une interprétation de la mémoire longue en termes de comportement d’agents grâce à un modèle de volatilité à mémoire longue dont les paramètres sont reliés aux comportements hétérogènes des agents pouvant être rationnels ou à rationalité limitée. Nous déterminons de manière théorique les conditions nécessaires à l’obtention de mémoire longue. Puis nous calibrons notre modèle à partir des séries de volatilité réalisée journalière d’actions américaines de moyennes et grandes capitalisations et observons le changement de comportement des agents entre la période précédant l’éclatement de la bulle internet et celle qui la suit. La deuxième partie est consacrée à la prise en compte de la mémoire longue en gestion de portefeuille. Nous commençons par proposer un modèle de choix de portefeuille à volatilité stochastique dans lequel la dynamique de la log-volatilité est caractérisée par un processus d’Ornstein-Uhlenbeck. Nous montrons que l’augmentation du niveau d’incertitude sur la volatilité future induit une révision du plan de consommation et d’investissement. Puis dans un deuxième modèle, nous introduisons la mémoire longue grâce au mouvement brownien fractionnaire. Cela a pour conséquence de transposer le système économique d’un cadre markovien à un cadre non-markovien. Nous fournissons donc une nouvelle méthode de résolution fondée sur la technique de Monte Carlo. Puis, nous montrons toute l’importance de modéliser correctement la volatilité et mettons en garde le gérant de portefeuille contre les erreurs de spécification de modèle. / This PhD thesis is about the study of the long memory of the volatility of asset returns. In a first part, we bring an interpretation of long memory in terms of agents’ behavior through a long memory volatility model whose parameters are linked with the bounded rational agents’ heterogeneous behavior. We determine theoretically the necessary condition to get long memory. Then we calibrate our model from the daily realized volatility series of middle and large American capitalization stocks. Eventually, we observe the change in the agents’ behavior between the period before the internet bubble burst and the one after. The second part is devoted to the consideration of long memory in portfolio management. We start by suggesting a stochastic volatility portfolio model in which the dynamics of the log-volatility is characterized by an Ornstein-Uhlenbeck process. We show that when the uncertainty of the future volatility level increases, it induces the revision of the consumption and investment plan. Then in a second model, we introduce a long memory component by the use of a fractional Brownian motion. As a consequence, it transposes the economic system from a Markovian framework to a non-Markovian one. So we provide a new resolution method based on Monte Carlo technique. Then we show the high importance to well model the volatility and warn the portfolio manager against the misspecification errors of the model.

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As mentioned in the introduction, the objective of this work has been to get a more realistic understanding of economic decision making processes by adopting an interdisciplinary approach which takes into consideration at the same time economic and psychological issues. The research in particular has been focused on the psychological concept of categorization, which in the standard economic theory has received until now no attention, and on its implications for decision making. The three experimental studies conducted in this work provide empirical evidence that individuals don not behave according to the perfect rationality and maximization assumptions which underly the SEUT, but rather as bounded rational satisfiers who try to simplify the decision problems they face through the process of categorization. The results of the first experimental study, on bilateral integrative negotiation, show that most of the people categorize a continuum of outcomes in two categories (satisfying/not satisfying), and treat all the options within each category as equivalent. This process of categorization leads the negotiators to make suboptimal agreements and to what I call the ?Zone of Agreement Bias? (ZAB). The experimental study on committees? decision making with logrolling provides evidence of how the categorization of outcomes in satisfying/not satisfying can affect the process of coalition formation in multi-issue decisions. In the first experiment, involving 3-issues and 3-parties decisions under majority rule, the categorization of outcomes leads most of the individuals to form suboptimal coalitions and make Pareto-dominated agreements. The second experiment, aimed at comparing the suboptimizing effect of categorization under majority and unanimity rule, shows that the unanimity rule can lead to a much higher rate of optimal agreements than the majority rule. The third experiment, involving 4-issues and 4-parties decisions provides evidence that the results of experiments 1 and 2 hold even when the level of complexity of the decision problem increases.

The understanding that humans are bounded in their rationality has been proven to manifest in complex decision making as a result of a limit in the amount of information available, the cognitive limitations of the mind and the amount of time available in which to make a decision. Because of this, humans have been known to appeal to heuristics and the rules of thumb (termed 'satisficing‘) when making decisions, resulting in biased probability judgments and not maximizing expected utility. Corporate application of bounded rationality is still very limited. This study builds on and advances the study and application of bounded rationality in corporate environments, using climate change response as a real-life situation, and in a circular fashion help explain some of the debates and paradoxes that agitate researchers from the climate change community. Using a mixed methods comparative case study of two organisations‘ responses to climate change, the study theorises that competitive market forces and the ability of organisations to learn from other organisations limits the levels of 'satisficing‘ in strategic decision making. Instead, the limited amount of information and the fear of the unknown cause organizations to approach the subject cautiously. A tactical interpretive climate change response framework emerges. / Business Management / D.B.L.