Decisions made by individuals representing states do not only impact citizens living within the state’s political jurisdiction, but also those from other political jurisdictions. The U.S. Executive’s role in global and international politics is quintessential case of how behaviors of individuals representing a state can shift the balance of power in the global political system. This study aimed to gain a new understanding into how this phenomenon occurs by analyzing the influence of personal characteristics on behaviors of individuals with executive decision-making powers. The Jerusalem Embassy Act of 1995 was used as the case to understand which personal characteristics at the level of cognitive idiosyncrasies were present in Obama’s and Trump’s decision-making processes regarding the Act. The study was an interpretivist enquiry which analyzed speeches gathered using a discourse analysis method and analyzed through the lenses of the cognitive idiosyncrasy theoretical model. Results showed that there were cognitive idiosyncrasies of framing, anchoring, images, evoked set, cognitive consistency, availability of information, historical analogies and verbal styles present in both presidents’ behaviors. The study concluded that though personal characteristics influence decision-making, the extent of their influence varies depending on the individual’s experience, expertise, and interests in the foreign policy problem.

Som en konsekvens av covid-19 har fysiska möten blivit ersatta med digitala möten. Företag har insett stora fördelar med digitala möten och distansarbete kan därmed fortsätta till viss del efter pandemin. Digitala möten innebär att människor interagerar bakom en skärm, där andra beteenden kan uppstå i jämförelse med fysiska möten. Vidare har tidigare forskning visat att personlighetsdrag är en god prediktor för beteenden. Det fanns begränsad forskning inom området, därför hade studien ett explorativt syfte att undersöka förhållandet mellan personlighetsdrag och individens beteende vid digitala möten. En kvantitativ metod användes, där studien bestod av totalt 167 deltagare (M = 41 år, SD = 13 år; 131 kvinnor). För att samla in data gjordes en internetbaserad enkät med självskattade påståenden. Enkäten byggde på påståenden utifrån personlighetstestet IPIP-30 och egna utformade påståenden. De avsåg att mäta personlighetsdragen i femfaktormodellen och en individs beteende vid digitala möten. Materialet analyserades genom en korrelationsanalys och multipla regressionsanalyser. Vår studie visade att det fanns ett förhållande mellan personlighetsdrag och beteenden vid digitala möten. Resultatet bidrog därav till en ökad förståelse om individuella skillnader vid digitala möten. Vidare för en mer ingående beskrivning av förhållandet rekommenderas att fler studier utförs och mätinstrument vidareutvecklas. Personlighetsdraget samvetsgrannhet hade störst betydelse för specifika beteenden vid digitala möten och uppvisade positiva samband till ett flertal beteenden. Det innebär att ju högre grad av personlighetsdraget samvetsgrannhet individer har, desto mer tenderar individer att hålla med om specifika beteenden vid digitala möten. / Because of covid-19 physical meetings have been replaced with digital meetings. Companies have perceived great advantage with digital meetings and teleworking may therefore continue partially after the pandemic. At digital meetings peoplecommunicate behind a screen and other behaviors may arise in comparison with physical meetings. Previous research has shown that personality traits are a good predictor for behaviors. There was limited research in the field, therefore the study had an exploratory purpose where the relationship between personality traits and individual behaviors at digital meetings were investigated. A quantitative method was used, and a total of 167 people participated in the study (M = 41 years, SD = 13; 131 women). To collect data an internet-based survey was made with self-rated questionnaires. The survey was based on the personality test IPIP-30 and self-designed statements, intended to measure the personality traits in The Big Five and individual behaviors at digital meetings. The data collection was analyzed through a correlation analysis and multiple regression analysis. Our study showed that there was a relationship between personality traits and behaviors at digital meetings and contributed to an increased knowledge of individual differences. For a deeper understanding of the relationship, more studies need to be accomplished and the instrument needs further development. The personality trait conscientiousness had the most meaningful impact of specific behaviors at digital meetings and showed positive correlation with several behaviors. This means that the higher value the individuals have of the personality trait conscientiousness, the more they tend to agree with specific behaviors at digital meetings.

La santé joue un rôle de plus en plus important dans l'économie dans les dernière années: d'une part, on observe une amélioration significative du niveau moyen de la durée de vie, d'autre part, il y a également une forte croissance sur les dépenses de santé. Dans cette thèse, on commence par présenter ces 2 faits stylisés mais on présente également que même s'il y a une amélioration du niveau moyen de la durée de vie, l'inégalité de la santé est toujours rapportée est en effet a tendance d'accroître, on présente aussi que les pays dont les dépenses de santé sont assez importantes en général n'ont pas un système de santé efficace. Par conséquence, cette amélioration de la santé humaine semble de bénéficier plus les gens qui peuvent payer le coût. Afin de trouver les raisons qui cause ce phénomène et proposer des solutions pratiques qui permet de résoudre ce problème, dans cette thèse, on prend 2 approches : premièrement, on commence par l'approche déterministe et également l'approche plus théorique, dans cette approche, on présente notre modèle basé sur le modèle du capital de santé du Grossman et on examine comment réagissent les agent face à la fluctuation de santé, puis on tourne vers le deuxième approche, qui est l'approche stochastique et également l'approche plus pratique, dans cette approche on utilise la chaîne de Markov pour simuler un vrai risque de santé et examine quelle seront les décisions d'agent de différents SES dans cette situation, on agrège ensuite ces décisions pour voir l’impact agrégé qui peuvent être généré sur l'ensemble de l'économie, finalement, on examine comment ces décision peuvent être affectées par des politiques publics. / During the past 2 decades, health has become a more and more important role in our economy life: on the one hand, we observe a significant improvement of average lifespan across the globe, on the other hand, the health expenditures is also increasing enormously, which has become a shake to the public health system of many countries. In this dissertation, we begin with these 2 stylized facts but we also show that there is more to it: though the average level of health has been improved significantly, health related inequalities are still being reported and actually tend to increase, plus, we also show that countries with important health expenditures performs generally poorly in terms of health system efficiency, in short, this improvement of human health we are talking about seems to benefit more those who can pay the bills. In order to figure out what causes this phenomenon and eventually propose practical solutions that help solve the problem, in this dissertation we take 2 approaches: first we start with the deterministic approach and also the more theoretical approach, in this approach we build our model based on the Grossman health capital model and we examine how people would behave when their health fluctuates, then we turn to the second approach, which is the stochastic approach and also the more practical approach, in this approach we use the Markov chain to simulate the real health risk and examine the behaviors of individuals of different social-economic status(SES) under this circumstance, we also aggregate these behaviors to see what impact could be generated on the whole society and we test reversely how these behavior would affected by public policies.

The digital footprints collected from the prevailing sensing systems provide novel ways to perceive an individual's behaviors. Furthermore, large collections of digital footprints from communities bring novel understandings of human behaviors from the community perspective (community behaviors), such as investigating their characteristics and learning the hidden human intelligence. The perception of human behaviors from the sensing digital footprints enables novel applications for the sensing systems. Bases on the digital footprints collected with accelerometer-embedded mobile phones and GPS equipped taxis, in this dissertation we present our work in recognizing individual behaviors, capturing community behaviors and demonstrating the novel services enabled. With the GPS footprints of a taxi, we summarize the individual anomalous passenger delivery behaviors and improve the recognition efficiency of the existing method iBOAT by introducing an inverted index mechanism. Besides, based on the observations in real life, we propose a method to detect the work-shifting events of an individual taxi. With real-life large-scale GPS traces of thousands of taxis, we investigate the anomalous passenger delivery behaviors and work shifting behaviors from the community perspective and exploit taxi serving strategies. We find that most anomaly behaviors are intentional detours and high detour inclination won't make taxis the top players. And the spatial-temporal distribution of work shifting events in the taxi community reveals their influences. While exploiting taxi serving strategies, we propose a novel method to find the initial intentions in passenger finding. Furthermore, we present a smart taxi system as an example to demonstrate the novel applications that are enabled by the perceived individual and community behaviors

Les empreintes digitales recueillies par détection systèmes offrent de nouvelles façons de percevoir les comportements d'un individu. En outre, de grandes collections d'empreintes numériques des communautés apportent de nouvelles compréhensions des comportements humains. La perception des comportements humains à partir des empreintes digitales de détection permet de construire des nouvelles applications sur les systèmes de détection. D’après les empreintes digitales recueillies avec l'accéléromètre embarqué dans les téléphones mobiles et les taxis équipés avec GPS, nous présentons ici notre travail sur la reconnaissance des comportements individuels, la capture des comportements communautaires et la démonstration des nouveaux services activés. En reconnaissant les comportements individuels, nous présentons la reconnaissance des activités physiques d'une personne avec les lectures de l'accéléromètre recueillies à partir des téléphones mobiles mis dans les poches autour de la zone pelvienne. Avec les empreintes GPS d'un taxi, nous résumons les comportements anormaux du transport des passagers pour un individu et améliorons l'efficacité de la reconnaissance de la méthode existante IBOAT. En outre, sur la base des observations dans la vie réelle, nous proposons une méthode pour détecter les événements de changement de service d’un taxi individuel. Avec des traces GPS à grande échelle et à l’aide des milliers de taxis, nous étudions les comportements anormaux pour le transport des passagers et les comportements de changement de travail et exploitons les stratégies de service de taxi. En outre, nous présentons un système intelligent de taxi comme une étude exemplaire des nouvelles applications qui s’appuie sur les comportements perçus individuelles et communautaires / The digital footprints collected from the prevailing sensing systems provide novel ways to perceive an individual's behaviors. Furthermore, large collections of digital footprints from communities bring novel understandings of human behaviors from the community perspective (community behaviors), such as investigating their characteristics and learning the hidden human intelligence. The perception of human behaviors from the sensing digital footprints enables novel applications for the sensing systems. Bases on the digital footprints collected with accelerometer-embedded mobile phones and GPS equipped taxis, in this dissertation we present our work in recognizing individual behaviors, capturing community behaviors and demonstrating the novel services enabled. With the GPS footprints of a taxi, we summarize the individual anomalous passenger delivery behaviors and improve the recognition efficiency of the existing method iBOAT by introducing an inverted index mechanism. Besides, based on the observations in real life, we propose a method to detect the work-shifting events of an individual taxi. With real-life large-scale GPS traces of thousands of taxis, we investigate the anomalous passenger delivery behaviors and work shifting behaviors from the community perspective and exploit taxi serving strategies. We find that most anomaly behaviors are intentional detours and high detour inclination won't make taxis the top players. And the spatial-temporal distribution of work shifting events in the taxi community reveals their influences. While exploiting taxi serving strategies, we propose a novel method to find the initial intentions in passenger finding. Furthermore, we present a smart taxi system as an example to demonstrate the novel applications that are enabled by the perceived individual and community behaviors

Several tools and practices have been developed in the innovation management field to support individuals and organizations in their innovation journeys. It is of high interest to understand how the actions and decisions of people affect the innovation process, both on a micro and macro level. The actions of individuals, teams, and upper management in organizations directly or indirectly affect innovation. It becomes interesting to understand such behaviors. The aim of this master’s thesis is to explore and compile a list of human behaviors that drive innovation on three levels: individual, team, and organization. This qualitative study was conducted in Sweden using semi-structured interviews with experienced professionals in the innovation management field. The research also includes defining and understanding key terms that are necessary for exploring and identifying innovation behaviors and offers analogies to support this understanding. An extensive literature review is used to find the initial set of innovation behaviors, and the analysis is developed. The key findings of this research reveal innovation behaviors in 11 categories of individual innovation behaviors, 5 categories of team innovation behaviors, and 6 categories of organizational innovation behaviors. Each category is developed in detail and a list of innovation behaviors is prepared. The implications of this thesis are twofold. Firstly, an extensive theoretical base is developed to understand innovation behaviors in a unified framework. Several new innovation behaviors are identified in empirical results that were not found in the scientific literature. This thesis also provides an actionable base for ‘how to innovate’ questions. Secondly, the results can be used by professionals on a practical level. Individuals, teams, and organizations can educate themselves about innovation behaviors and adopt them during their innovation projects. The upper management in companies can use these innovation behaviors to develop a culture that is supportive of innovation and take innovation-abling actions for their organizations. Innovation professionals can use these behaviors as a tool to support their teams in taking better actions for innovation. Furthermore, researchers can advance the understanding of factors influencing innovation and develop advanced tools and practices as a guide to innovation. / Flera verktyg och metoder för innovation har utvecklats för att stödja individer och organisationer. Det är av stort intresse att förstå hur människors handlingar och beslut påverkar innovationsprocessen. Handlingar från individer, team och högsta ledning i organisationer påverkar direkt eller indirekt innovation. Det är av intresse att förstå sådana beteenden. Syftet med detta examensarbete är att utforska och sammanställa en lista över mänskliga beteenden som driver innovation på tre nivåer: individ, team och organisation. En kvalitativ studie genomfördes i Sverige med hjälp av semistrukturerade intervjuer med erfarna praktiker inom innovationsledningsområdet. Forskningen inkluderar också att definiera och förstå nyckeltermer som är nödvändiga för att utforska och identifiera innovationsbeteenden och erbjuder analogier för att stödja denna förståelse. En omfattande litteraturgenomgång har genomförts för att hitta den initiala uppsättningen av innovationsbeteenden, och analysen av de empiriska resultaten har vidare utvecklat denna. De viktigaste resultaten av denna forskning visar på innovationsbeteenden i 11 kategorier av individuella innovationsbeteenden, 5 kategorier av teaminnovationsbeteenden och 6 kategorier av organisatoriska innovationsbeteenden. Varje kategori har redogjorts för i detalj och en lista över innovationsbeteenden presenterats. Implikationerna av detta examensarbete är tvåfaldiga. För det första utvecklas en omfattande teoretisk bas för att förstå innovationsbeteenden i ett enhetligt ramverk. Flera nya innovationsbeteenden identifierades i de empiriska resultaten som inte återfanns i den vetenskapliga litteraturen. Resultaten ger också en handlingsbar bas för "hur man innoverar"-frågor. För det andra kan resultaten användas i praktiken. Individer, team och organisationer kan utbilda sig själva om innovationsbeteenden och anamma dem i sina innovationsprojekt. Den högsta ledningen i företag kan använda dessa innovationsbeteenden för att utveckla en kultur som stödjer innovation och vidta innovationsfrämjande åtgärder för sina organisationer. Innovationsledare kan använda listan med innovationbeteenden som ett verktyg för att stödja sina team i att vidta bättre åtgärder för innovation. Dessutom kan forskare främja förståelsen av faktorer som påverkar innovation och utveckla avancerade vertyg och metoder som vägledning för innovation.