Multi-attribute collaborative filtering recommendation based on improved group decision-making

Currently researchers in the field of personalized recommendations bear little consideration on users' interest differences in resource attributes although resource attribute is usually one of the most important factors in determining user preferences. To solve this problem, the paper builds an evaluation model of user interest based on resource multi-attributes, proposes a modified Pearson-Compatibility multi-attribute group decision-making algorithm, and introduces an algorithm to solve the recommendation problem of k-neighbor similar users. Considering the characteristics of collaborative filtering recommendation, the paper addresses the issues on the preference differences of similar users, incomplete values, and advanced converge of the algorithm. Thus the paper realizes multi-attribute collaborative filtering. Finally, the effectiveness of the algorithm is proved by an experiment of collaborative recommendation among multi-users based on virtual environment. The experimental results show that the algorithm has a high accuracy on predicting target users' attribute preferences and has a strong anti-interference ability on deviation and incomplete values.

Responsibility effects in decision making under risk

We systematically explore decision situations in which a decision maker bears responsibility for somebody else's outcomes as well as for her own in situations of payoff equality. In the gain domain we confirm the intuition that being responsible for somebody else's payoffs increases risk aversion. This is however not attributable to a 'cautious shift' as often thought. Indeed, looking at risk attitudes in the loss domain, we find an increase in risk seeking under responsibility. This raises issues about the nature of various decision biases under risk, and to what extent changed behavior under responsibility may depend on a social norm of caution in situations of responsibility versus naive corrections from perceived biases. To further explore this issue, we designed a second experiment to explore risk-taking behavior for gain prospects offering very small or very large probabilities of winning. For large probabilities, we find increased risk aversion, thus confirming our earlier finding. For small probabilities however, we find an increase of risk seeking under conditions of responsibility. The latter finding thus discredits hypotheses of a social rule dictating caution under responsibility, and can be explained through flexible self-correction models predicting an accentuation of the fourfold pattern of risk attitudes predicted by prospect theory. An additional accountability mechanism does not change risk behavior, except for mixed prospects, in which it reduces loss aversion. This indicates that loss aversion is of a fundamentally different nature than probability weighting or utility curvature. Implications for debiasing are discussed.

Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game

Probabilistic hydro-meteorological forecasts have over the last decades been used more frequently to communicate forecastuncertainty. This uncertainty is twofold, as it constitutes both an added value and a challenge for the forecaster and the user of the forecasts. Many authors have demonstrated the added (economic) value of probabilistic over deterministic forecasts across the water sector (e.g. flood protection, hydroelectric power management and navigation). However, the richness of the information is also a source of challenges for operational uses, due partially to the difficulty to transform the probability of occurrence of an event into a binary decision. This paper presents the results of a risk-based decision-making game on the topic of flood protection mitigation, called “How much are you prepared to pay for a forecast?”. The game was played at several workshops in 2015, which were attended by operational forecasters and academics working in the field of hydrometeorology. The aim of this game was to better understand the role of probabilistic forecasts in decision-making processes and their perceived value by decision-makers. Based on the participants’ willingness-to-pay for a forecast, the results of the game show that the value (or the usefulness) of a forecast depends on several factors, including the way users perceive the quality of their forecasts and link it to the perception of their own performances as decision-makers.

Stress, time pressure, and decision making

This study surveys parents with children who are deaf or hard of hearing from one private school in St. Louis, Missouri. The issue of stress and time pressure on decision making is addressed and the importance of how stress and time pressure effect parents’ decisions regarding their children who are deaf and hard of hearing.

A adaptação do Melbourne Decision Making Questionnaire (MDMQ) para a área de administração no Brasil

Dissertação apresentada ao Programa de Pós-graduação em Administração - Mestrado da Universidade Municipal de São Caetano do Sul

A BDI-based approach for the assessment of driver's decision-making in commuter scenarios

The rapid growth of urban areas has a significant impact on traffic and transportation systems. New management policies and planning strategies are clearly necessary to cope with the more than ever limited capacity of existing road networks. The concept of Intelligent Transportation System (ITS) arises in this scenario; rather than attempting to increase road capacity by means of physical modifications to the infrastructure, the premise of ITS relies on the use of advanced communication and computer technologies to handle today’s traffic and transportation facilities. Influencing users’ behaviour patterns is a challenge that has stimulated much research in the ITS field, where human factors start gaining great importance to modelling, simulating, and assessing such an innovative approach. This work is aimed at using Multi-agent Systems (MAS) to represent the traffic and transportation systems in the light of the new performance measures brought about by ITS technologies. Agent features have good potentialities to represent those components of a system that are geographically and functionally distributed, such as most components in traffic and transportation. A BDI (beliefs, desires, and intentions) architecture is presented as an alternative to traditional models used to represent the driver behaviour within microscopic simulation allowing for an explicit representation of users’ mental states. Basic concepts of ITS and MAS are presented, as well as some application examples related to the subject. This has motivated the extension of an existing microscopic simulation framework to incorporate MAS features to enhance the representation of drivers. This way demand is generated from a population of agents as the result of their decisions on route and departure time, on a daily basis. The extended simulation model that now supports the interaction of BDI driver agents was effectively implemented, and different experiments were performed to test this approach in commuter scenarios. MAS provides a process-driven approach that fosters the easy construction of modular, robust, and scalable models, characteristics that lack in former result-driven approaches. Its abstraction premises allow for a closer association between the model and its practical implementation. Uncertainty and variability are addressed in a straightforward manner, as an easier representation of humanlike behaviours within the driver structure is provided by cognitive architectures, such as the BDI approach used in this work. This way MAS extends microscopic simulation of traffic to better address the complexity inherent in ITS technologies.

An essay about the effect of vague accounting standards on the decision making process of auditors

Vague words and expressions are present throughout the standards that comprise the accounting and auditing professions. Vagueness is considered to be a significant source of inexactness in many accounting decision problems and many authors have argued that the neglect of this issue may cause accounting information to be less useful. On the other hand, we can assume that the use of vague terms in accounting standards is inherent to principle based standards (different from rule based standards) and that to avoid vague terms, standard setters would have to incur excessive transaction costs. Auditors are required to exercise their own professional judgment throughout the audit process and it has been argued that the inherent vagueness in accounting standards may influence their decision making processes. The main objective of this paper is to analyze the decision making process of auditors and to investigate whether vague accounting standards create a problem for the decision making process of auditors, or lead to a better outcome. This paper makes the argument that vague standards prompt the use of System 2 type processing by auditors, allowing more comprehensive analytical thinking; therefore, reducing the biases associated with System 1 heuristic processing. If our argument is valid, the repercussions of vague accounting standards are not as negative as presented in previous literature, instead they are positive.

Decision making naturalized: the interweaving of the unconscious, the emotional and the rational in decisions taken in a contigent world

Dadas as limitações e inadequações presentes, tanto no arquétipo do tomador de decisão como um agente racional, adotado nas teorias econômicas e gerenciais, quanto no estereótipo de um ser transcendental, tão presente na vida prosaica, se faz necessário substituí-los por uma nova perspectiva: onde o tomador de decisão é um animal emocional, frágil diante do acaso, e fruto de um processo evolutivo.

The influence of urban structures on entrepreneurial decision-making: a comparative analysis of Mexico City and São Paulo

Promover a atividade empreendedora é hoje mais do que nunca uma prioridade para as economias em desenvolvimento. Em diferentes partes do mundo, empreendedores têm sido reconhecidos como verdadeiros agentes de transformação, e as novas empresas que eles criam tornam-se condutoras de inovação, que ao final pode ser difundida ao resto da economia. Teorias de economia urbana, que analisam a dinâmica da relação entre aglomeração urbana e atividade econômica, enfatizam a importância da concentração espacial das indústrias num mesmo setor industrial. Entender os incentivos que dão início à atividade empreendedora é algo novo e o foco desses estudos tem sido principalmente em alguns poucos casos de economias industrializadas. Não obstante, o sucesso de um punhado de clusters de alta tecnologia, como o Vale do Silício, por exemplo, na Califórnia, Estados Unidos, não pode ser replicado, e as condições locais devem ser consideradas a fim de entender a surgimento desses ecossistemas. Este estudo pretende investigar os critérios em que os empreendedores fundamentam suas decisões quando selecionam as localizações do seu negócio. Especificamente, a pesquisa explora o recente movimento dos ecossistemas de empreendedores na Cidade do México e em São Paulo, as duas maiores áreas metropolitanas da América Latina, à luz das teorias de economia urbana. A fim de chegar aos resultados, a pesquisa segue o método baseado sobre uma análise comparativa de estudo de casos em dois bairros: Vila Leopoldina em São Paulo e a Colônia Roma Norte na Cidade do México. Os resultados consolidados baseados em entrevistas qualitativas realizadas nos dois bairros revelam que o lugar/sitio urbano, definido em termos de laços locais assim como da atmosfera geral do ambiente, continua sendo importante para os atores apesar das comunicações de alta velocidade que produzem mais interações entre as regiões do mundo. Além disso, a relação entre o empreendedor e o seu entorno é altamente dependente do estágio de desenvolvimento e da natureza da atividade da empresa; redes informais revelam-se essenciais para identificar as oportunidades de negócio antes de serem progressivamente substituídas por relações instituídas com fundos de capital de risco ou incubadoras. Estes dois ecossistemas nascentes geram suas próprias características, o que já pode sugerir suas futuras evoluções.

How national culture on consumers' decision-making styles: a comparative study among Americans, Brazilians, Chinese, and japanese in the purchase of cell phones.

The influence of the national culture on consumer decision-making styles is investigated using a sample of Americans, Brazilians, Chinese, and Japanese consumers who have purchased a cell phone in the past three years. To make the research possible, a survey was used as a method of data collection. It relates Hofstede’s cultural classification typology with Sproles and Kendall’s consumer style inventory (CSI). The multivariate analysis of variance (MANOVA) results indicate six decision-making styles together with other consumer behavioral characteristics that can be used to distinguish and profile consumers who purchase cell phones. Empirical findings reveal that among Americans, Brazilians, and Japanese; Americans are the most quality conscious, brand conscious, innovative, and hedonistic shoppers; Brazilians are the most loyal, and Japanese, the most confused by overchoice consumers. Conceptual contributions and managerial implications are discussed.

Better than my pride is your misfortune: the impact of schadenfreude on decision-making

Investigações anteriores relacionadas ao schadenfreude concentraram-se nos fatores que provocam o prazer no infortúnio do outro. A presente pesquisa tem como objetivo investigar o impacto do schadenfreude na tomada de decisão. Dois estudos (um em laboratório e uma em campo) abordam o impacto do schadenfreude em decisões realizadas no passado e no futuro em eventos desportivos. O primeiro estudo confronta sentimentos de orgulho em uma vitória do time favorito contra os sentimentos de perda schadenfreude de uma equipe rival. Os resultados mostraram que as pessoas preferiam enviar notícias sobre a vitória da equipe favorita (orgulho) ao invés da perda do time rival (schadenfreude) quando as diferenças de pontuação no jogo eram pequenas (por exemplo: time favorito 1 x 0 outro, contra, o time rival 0 x 1 favorito). No entanto, as pessoas eram mais propensas a fazer a escolha schadenfreude (por exemplo, escolher o envio de uma notícia sobre a derrota de um time rival) quando o resultado era alto (por exemplo, time favorito 5 x 0 rival, contra, time rival 0 x 5 favorito). O segundo estudo no campo examina como schadenfreude influencia a vontade de apostar contra um time rival. Para responder a esse problema, a preferência da equipe do participante é avaliada (Participantes que apoiam time alvo contra os que apoiam o rival). Uma manipulação de louvor é adicionada, tal que os consumidores vejam ou não um elogio à equipe alvo enquanto eles estão fazendo uma aposta sobre o resultado da partida. Os resultados mostram que os torcedores do time alvo não foram influenciados pela manipulação de louvor. No entanto, torcedores do time rival aumentaram sua probabilidade de aposta contra o time alvo (ou seja, mostraram um comportamento que envolve o schadenfreude) quando esta foi elogiada antes do jogo.

Decision making process: a comparison between the public and private sector

The problem of decision making, its mechanisms and consequences is the very core of management, it is virtually impossible to separate the act of manage from this knowledge area. As defined by Herbert Simon – "decision making" as though it were synonymous with "managing". A decision is a selection made by an individual regarding a choice of a conclusion about a situation. This represents a course of behavior pertaining to what must be done or what must not be done. A decision is the point at which plans, policies and objectives are translated into concrete actions. Our behavior during decisive moments is closely linked with our brain dominance profile. Over the years, our decision-making processes develop a consistent pattern, which can be described as a decision-making style. Our style is grounded in our preferences, which arise from our brain dominance characteristics […]. The importance of understanding the impact of our thinking preferences and how to improve the effectiveness as a leader of organizations are the main justifications for this thesis; the main problem addressed is the behavioral profile diversity in a selective Master’s cohort formed by students from several different countries. The research methodology approach has been quantitative, through questionnaire administration using the HBDI (Herrmann Brain Dominance Instrument), a validated framework developed by William "Ned" Herrmann when he was the leader of General Electric's Crotonville facility. This questionnaire has been administered in hundreds of thousands professional, enabling the possibility to establish correlations between a certain group and several historical databases. The selected group of analysis is the first cohort (23 students) from the CIM (Corporate International Master's), a joint program between Georgetown University (USA), ESADE (Spain) and FGV (Brazil). Besides decision preferences, the obtained profile enables the discussion on leadership style, heuristic's pitfalls and a base to compare with future cohorts. The fundamental research question is: how diverse is the dominant decision-making profile for the CIM students?

Corporate governance and its influence on the investment decision process of equity market's professionals: An inside view of how corporate governance issues influence the decision-making process of sell-side and buy-side professionals when analyzing Brazilian listed companies

Corporate governance has been in the spotlight for the past two decades, being subject of numerous researches all over the world. Governance is pictured as a broad and diverse theme, evolving through different routes to form distinct systems. This scenario together with 2 types of agency problems (investor vs. management and minorities vs. controlling shareholders) produce different definitions for governance. Usually, studies investigate whether corporate governance structures influence firm performance, and company valuation. This approach implies investors can identify those impacts and later take them into consideration when making investment decisions. However, behavioral finance theory shows that not always investors take rational decisions, and therefore the modus operandi of those professionals needs to be understood. So, this research aimed to investigate to what extent Brazilian corporate governance standards and practices influence the investment decision-making process of equity markets' professionals from the sell-side and buy-side. This exploratory study was carried out through qualitative and quantitative approaches. In the qualitative phase, 8 practitioners were interviewed and 3 dimensions emerged: understanding, pertinence and practice. Based on the interviews’ findings, a questionnaire was formulated and distributed to buy-siders and sell-siders that cover Brazilian stocks. 117 respondents from all over the world contributed to the study. The data obtained were analyzed through structural equation modeling and descriptive statistics. The 3 dimensions became 5 constructs: definition (institutionalized governance, informal governance), pertinence (relevance), practice (valuation process, structured governance assessment) The results of this thesis suggest there is no definitive answer, as the extent to which governance will influence an investment decision process will depend on a number of circumstances which compose the context. The only certainty is the need to present a “corporate governance behavior”, rather than simply establishing rules and regulations at firm and country level.

Winning in Brazil: how institutional voids affect the entry decision making process of foreign venture capital firms coming to Brazil

The master thesis for the achievement of the academic status master of science in international management (MPGI) will aim to solve the research question of how institutional voids affect the entry decision-making process of foreign venture capital firms coming to Brazil. This is a timely matter since in the past years there has been a sudden eruption of foreign VC involvement in Brazil. Based on the actionable framework by Khanna and Palpeu (2010) we conducted quantitative as well as qualitative research with two sets of interview partners in a two-phase analysis. We interviewed experts from VC firms, foreign VC firms based in Brazil and perspective VC firms that are looking to come to Brazil. We started with the former, derived lessons learned and analyzed how they affect the latter in reaching a decision. As we expected we found that depending on the industry that ventures are in, institutional voids can either pose an opportunity or a threat and hence attract or push away potential VC firms entering Brazil. Opportunities exist especially when exploiting institutional voids, for example through ventures in the marketplace efficiency. Threats are posed by investments in for instance hard infrastructure, where the economic, political and judicial systems as well as corruption and bureaucracy play demanding roles.

The combination of neural estimates in prediction and decision problems

In this dissertation, different ways of combining neural predictive models or neural-based forecasts are discussed. The proposed approaches consider mostly Gaussian radial basis function networks, which can be efficiently identified and estimated through recursive/adaptive methods. Two different ways of combining are explored to get a final estimate – model mixing and model synthesis –, with the aim of obtaining improvements both in terms of efficiency and effectiveness. In the context of model mixing, the usual framework for linearly combining estimates from different models is extended, to deal with the case where the forecast errors from those models are correlated. In the context of model synthesis, and to address the problems raised by heavily nonstationary time series, we propose hybrid dynamic models for more advanced time series forecasting, composed of a dynamic trend regressive model (or, even, a dynamic harmonic regressive model), and a Gaussian radial basis function network. Additionally, using the model mixing procedure, two approaches for decision-making from forecasting models are discussed and compared: either inferring decisions from combined predictive estimates, or combining prescriptive solutions derived from different forecasting models. Finally, the application of some of the models and methods proposed previously is illustrated with two case studies, based on time series from finance and from tourism.