Cette recherche sur articles a pour objectif de mieux comprendre l’impact du climat diversité, considéré comme un climat organisationnel, sur la performance individuelle des salariés. Nous mobilisons ici le cadre conceptuel de Kopelman et al. (1990).Le concept de climat diversité a cependant été critiqué pour ses défaillances conceptuelles et méthodologiques. Nous réalisons dans un premier article une revue de littérature approfondie (Nombre d’études analysées = 62), et proposons une reconstruction du climat diversité en trois dimensions : l’intentionnalité, la programmation et la pratique. Nous nous appuyons pour ce faire sur le cadre conceptuel de HRM system structure d’Arthur et Boyles (2007) et les diversity management system components de Kulik (2014).Dans un deuxième article, nous opérationnalisons le climat diversité tel que reconceptualisé, en développant et validant une échelle de mesure en 11 items au niveau organisationnel. Nous avons mené pour ce faire trois études (N = 150 ; N = 398 ; Nunité = 11, Nindividuel = 221) qui nous ont permis de valider les propriétés psychométriques de l’échelle en termes de fiabilité et de validité convergente, discriminante, nomologique et prédictive.Enfin, dans un troisième article nous testons nos hypothèses de recherche grâce à une dernière étude (Nunité = 34 ; Nindividuel = 509). Nos résultats montrent que le climat diversité organisationnel influence positivement la performance individuelle, et que la satisfaction au travail et l’engagement organisationnel affectif sont des médiateurs de cette relation. La médiation de l’engagement organisationnel normatif n’est pas concluante.Notre recherche a une contribution significative sur le plan conceptuel et méthodologique, en proposant une approche structurelle innovante et une mesure pour l’étude du climat diversité, par-delà les paradigmes dominants du management de la diversité. Elle offre de plus une forte contribution managériale, en proposant une taxonomie des climats diversité dans les organisations et en ouvrant plusieurs voies aux praticiens pour le développer. / This research aims to better understand the impact of diversity climate, as an organizational climate, on individual employee performance. We use the conceptual framework of Kopelman et al. (1990).However, the concept of diversity climate has been criticized for its conceptual and methodological shortcomings. In a first article, we produce an in-depth literature review (number of studies analyzed = 62), and we propose a reconstruction of diversity climate in three dimensions: intentionality, programming and praxis. We rely on Arthur and Boyles (2007)’s HRM system structure and on Kulik (2014)'s diversity management system components conceptual frameworks.In a second article, we operationalize diversity climate as reconceptualized, developing and validating an 11-item measurement scale at the organizational level. To proceed, we conducted three studies (N=150; N=398; NUnit =11, Nindividual =221) that allowed us to validate the psychometric properties of the scale in terms of reliability and convergent, discriminant, nomological and predictive validity.Finally, in a third article we test our research hypotheses with a final study (Nunit =34; Nindividual =509). Our results show that organizational diversity climate positively influences individual employee performance, and that job satisfaction and affective organizational commitment mediate this relationship. Mediation of normative organizational commitment is inconclusive.Our research has a significant contribution conceptually and methodologically, since it proposes an innovative structural approach and a measure for the study of diversity climate, beyond the dominant paradigms of diversity management. It also offers a strong managerial contribution, providing a taxonomy for diversity climates in organizations and opening up several avenues for practitioners to develop it.

The aim of this thesis is to provide a deeper understanding of the construction of identity in relation to European integration and to discover how identities are constructed in relation to each other. The paper will therefore answer the question: ‘How can we understand the identity constructions in Wales during the political changes of Brexit, and what do these constructions reveal about the effects of European integration’. The EU advocates being ‘united in diversity’. This statement provides direction for this research, as it allows for a discussion of how various identities relate to each other. The paper will look into the political discourse of the Welsh government by applying Critical Discourse Analysis. By examining the speeches of Assembly Members, an analysis can be given of the construction of identity in the political debate in Wales. Consequently, it will look at the effects of European integration on identity construction. The analysed discourse illustrates the importance of national identity in the debate and the rather weak constructions of European identity. It also depicts that even though European integration is an important topic in the political discourse, its influence on identity construction is not strongly established. There are multiple actors that exert influence in Wales. Though, the most important is the interaction between Wales and England. The dividing factor in regards of identity construction is thus not in relation to the EU, but in relation to governance in the UK. The framework of multi-level governance in the UK is therefore an important factor in the construction of identity. The analysis indicates that even though European integration is fundamental for the development of regions such as Wales, national heritage and culture are still the most predominant in the construction of identity.

More and more attention is paid in the academic debate to the issue of sub-state entities, represented by regional governments, as partially independent actors of international politics. This phenomenon, referred to as paradiplomacy, is particularly visible in the European Union, where since 1980s regional governments have been mobilising to gain direct influence on the shape of European politics. A regional government that acts as an agent of European politics may or may not be actively supported by its central government. This thesis tries to investigate the relationship between the direct representations of the Visegrád Group regions in Brussels and their respective national Permanent Representations. In the first chapter, I discuss the theoretical issues related to regional mobilisation in Brussels by referring to the work of researchers who deal with multi- level governance in the context of the European Union. In the second chapter, I present and justify the choice of research design, case studies, and semi-structured interviews as the main source of obtaining data necessary to answer the research question. In the third chapter, I included the analysis of the obtained information, and in the fourth chapter, the conclusions drawn from it. This research shows that direct regional...

We present a multi-grid method for a class of structured generalized Lyapunov matrix equations. Such equations need to be solved in each step of the Newton method for algebraic Riccati equations, which arise from linear-quadratic optimal control problems governed by partial differential equations. We prove the rate of convergence of the two-grid method to be bounded independent of the dimension of the problem under certain assumptions. The multi-grid method is based on matrix-matrix multiplications and thus it offers a great potential for a parallelization. The efficiency of the method is demonstrated by numerical experiments.

In this paper, finite element discretizations of the degenerated operator -ω²(y) u_xx-ω²(x)u_yy=g in the unit square are investigated, where the weight function satisfies ω(ξ)=ξ^α with α ≥ 0. We propose two multi-level methods in order to solve the resulting system of linear algebraic equations. The first method is a multi-grid algorithm with line-smoother. A proof of the smoothing property is given. The second method is a BPX-like preconditioner which we call MTS-BPX preconditioner. We show that the upper eigenvalue bound of the MTS-BPX preconditioned system matrix grows proportionally to the level number.

The introduction of the European Union (EU) macro-regional strategies (MRS) in the latter half of the 2000s was a significant step in the process of transformation of EU governance system. EU MRSs act as a new form of comprehensive governance framework for multi-objective and cross-sectoral cooperation in geographically defined macro-regions. This thesis examines the case of the Baltic Sea Region in order to evaluate a potential of this new governance instrument to transform cooperation arrangements in the region. In order to shed light on the strategy’s patterns and dynamics, the present study utilizes a qualitative methodological approach that uses document analysis based on a comprehensive analytical framework. The analytical framework incorporates the theoretical perspectives of multi-level and experimentalist governance, as well as the theory of differentiated integration. The main findings of this study suggest that the inception of the EU Strategy for the Baltic Sea Region (EUSBSR) in 2009 has offered an innovative and dynamic framework for cooperation that enabled a wider representation and more active participation of local and regional actors. This allowed for a more coherent and coordinated policymaking, facilitated a more responsive and transparent cooperation system in the region, as well as fostered transnational cooperation in the Baltic Sea Region by ensuring a wider engagement of non-EU countries.

Nous abordons dans cette thèse un problème important en simulation multi-agent pour l'étude des systèmes complexes: celui d'assembler de multiples expertises par une approche multi-niveau. Alors que les approches existantes considèrent habituellement la vue d'un seul expert principal sur le système, nous proposons d'utiliser une approche multi-niveau pour intégrer plusieurs expertises sous la forme d'agents de différents niveaux d'abstraction. Nous montrons qu'il est ainsi possible de rester proche des concepts manipulés par les différents experts (ce qui permet de faciliter le processus de validation dans leurs domaines respectifs) et de combiner les différents niveaux de ces concepts, de manière à ce que chaque expert puisse comprendre les dynamiques des éléments liés à son domaine. Nous proposons le méta-modèle SIMLAB basé sur une représentation unifiée des concepts par des agents pouvant s'influencer les uns les autres dans différents axes et différents niveaux. Ce travail est concrétisé dans le cadre de l'étude de l'activité humaine en relation avec la consommation électrique. Il s'agit là d'un exemple typique de système complexe nécessitant de multiples expertises issues de différents domaines tels que l'ergonomie, l'énergétique, la sociologie, la thermique, ... Dans ce contexte, nous présentons ensuite la mise en oeuvre de notre approche dans la plate-forme SMACH de simulation des comportements humains et nous décrivons un ensemble d'expérimentations illustrant les différentes caractéristiques de notre approche. Nous montrons enfin la capacité de SIMLAB à reproduire et à étendre en simulation une étude réalisée sur le terrain de gestion de la demande énergétique. / The purpose of this work is to tackle a key problem in the study of complex systems when using multi-agent simulation: how to assemble several domains of expertise with a multi-level approach. While existing approaches usually consider the viewpoint of a unique main expert, we propose to use a multi-level model to integrate the multiple domains of expertise embodied in agents located at different abstraction levels. In this work, we show that it is possible to both stay close to the concepts manipulated by the experts (for the sake of the validation process in the domain of each expert) and combine the levels of those concepts. That way, each expert can easily understand the dynamics of the components related to their domain.We present SIMLAB, our meta-model based on a unified representation of the concepts using agents. Each agent can influence the others on different axes and levels. This work is materialised in a study of human activity in relation to electrical consumption. It is a typical example of complex system which requires many domains of expertise such as psychology, energetics, sociology, heat science, … In this context, we present the implementation of our approach in SMACH, a simulation platform of human behaviours. We Then describe several experiments to illustrate the characteristics of our approach. Finally, we show how SIMLAB can reproduce and extend in silico a field study of energy demand management.

Climate change poses as one of the major environmental issues on a global scale today, with one of the largest contributor to the climate change being the greenhouse gas (GHG) emissions. GHG emissions in turn is known to a large extent originate in anthropogenic energy use, especially fossil fuel usage. This leads to almost a quarter of the global emissions today being emitted from the transport sector as the sector is primary fueled by fossil fuels. Biofuels have been promoted as a strong candidate for fossil fuel substitution as it has similar properties while being renewable. However, even as biofuels have been increasing annually since 2008 globally, there are still concerns associated with the usages that have hindered its replacement of fossil fuels. Indonesia, one of the most populated countries in Southeast Asia, is projected to be one of the world’s leading economies in 2050. In 2030, Indonesia in projected to have doubled its energy consumption since 2014, indicating that the decisions and actions taken today in Indonesia will have a significant impact on the future fuel consumption. This, in combination with being the largest producer of palm oil in the world, gives it a great potential to be in a leading position in the future production of biofuels, especially biodiesel from palm oil. Additionally, Indonesia has set mandatory targets for biofuel share in the transport sector which indicates that the country also seeks to promote the usages of biofuels. This thesis intends to investigate Indonesia’s potential for biofuel development in the transport sector and which factors that could hinder it. More specifically, this study answers the two questions: (i) Which factors are hampering the development of biofuels in the Indonesian transportation sector from a multi-level perspective? and (ii) What is the projection of the Indonesian transport sector by 2030 in terms of fuel consumption and global warming potential (GWP) and what role could biofuels play in reducing those? The data used were collected by interviews with stakeholders in Indonesia and a literature study, which afterwards was processed with the tools Multi-Level Perspective (MLP) and Long-range Energy Alternatives Planning (LEAP). MLP is a concept aiming to describe how system transitions happens with the help of an examination of the linkages in between technology and society, whereas LEAP is an energy modeling tool used in order to create energy projections in different policy scenario options. In this research, MLP were used to capture and analyze the factors that influence the future implementation of biofuels in Indonesia from a socio-technical perspective, putting forward key barriers for biofuel implementation in Indonesia. LEAP was used to construct a model of the Indonesian transport sector to project the future fuel consumption and GWP emissions. This was used to examine biofuels importance as a fuel through scenarios where different Indonesian policy actions were appraised. Together, these two methods will provide an enlightening and concluding remark on the future possibilities for biofuels in Indonesia's transport sector in this thesis. The major finding of the first research question were that biofuels in Indonesia were being introduced in Indonesia as the government saw economic benefits and a solution to the increased energy demand in Indonesia and an increased energy security in going towards a domestic produced energy source. The need for biofuels were also increased due to an increased global sustainability awareness, which also reached Indonesia. Today, biofuels in Indonesia is in a socio-technical transition pathway to go from a niche innovation to a technology in the regime level, but in order for a breakthrough, a number of barriers needs to be addressed. The most mentioned barriers were the institutional and regulatory barriers, which mainly lays in a lack of cooperation amongst the regulatory institutions and a low rate of success of biofuel laws and regulations. Other barriers were the market barriers, closely connected in a subsidization of fossil fuels in Indonesia and a need for further subsidization of biofuels for the market for biofuels to exist in Indonesia. Furthermore, a technical barrier with the vehicle engine were seen as the engine needs improvements in order for a higher blending of biofuels in the fuel. There was also a concern of the perceived sustainability of biofuels in general (e.g. water scarcity and pollution) which was identified as a hindrance. It was also clear a social change is needed in order to push the biofuel breakthrough and enable it to reach its full potential. Today, the interviewees mainly see a development for the biofuel biodiesel and not for the biofuel bioethanol in Indonesia, which they mainly concluded as there is currently none or very little production and demand for bioethanol in Indonesia, and as well a lack of governmental support for bioethanol development. For the second research question four scenarios were used; Business as Usual (a continuation of current trends), Improved Standards (an investigation of higher emissions standards and an increasing fuel efficiency), Biofuel Mandate (a mandatory biofuel share in fuels) and the Low Carbon scenario (a combination of the previous two as well as introduction of electric vehicles, changed car preferences and higher biofuel blending targets). Cars represents a tenth of the vehicle fleet and the share of diesel car amongst the cars are 5% while gasoline stands for 95%, the rest of the vehicles are gasoline driven motorcycles. The main findings were: the total vehicle fleet will have doubled by 2030. This rapid increase could cause stress on the domestic fuel supply, as the yearly fuel consumption is expected to grow from 770 million GJ in 2014 to 1850 million GJ in 2030, an increase by 140%. In the projection the fossil fuels are blended with biofuels, diesel is mixed with biodiesel while gasoline is blended with bioethanol. The annual diesel fuel consumption is projected to increase from 350 million liters to 1100 million in the Business as Usual scenario where the current trend was expected to continue. The implementation of biodiesel and bioethanol in the Biofuel Mandate scenario. Additionally, the Biofuel Mandate scenario resulted in a 12.6% reduction of GHG emissions during the projected period. The cumulative GHG emissions in the projection is estimated to be 1630 million tonnes of carbon dioxide equivalents in 2030 for the Business as Usual scenario. In the transport sector, gasoline is projected to increase from 23 billion liters to 54 billion liters over the period. In the Improved Standards scenario, where the emission standards are increased from Euro2 to Euro6 in 2030 for cars and Euro4 for motorcycles in 2025 as well as an annual fuel economy improvement of 2%, the total fuel consumption is reduced with 20% and GWP by 18%. It was found that the annual GWP could be reduced by almost 31% below the 2014 level, at 47 million metric tonnes of CO2Eq, if the actions of the Low Carbon scenario were achieved. The barriers associated with the Improved Standards scenario were technical, institutional and regulatory while the Biofuel Mandate scenario also had financial, market and distribution barriers. The Low Carbon scenario had barriers from all of the identified barrier categories. The institutional and regulatory barrier was the most prevailing barrier for all of the scenarios. The recommended actions based on the content of this thesis is to firstly promote collaboration between governmental institutes, stakeholders and authorities and include all stakeholders in the decision progress, this way, frameworks and regulations will have a chance to improve and increase the knowledge about biofuels in all levels. It is also important to implement a stronger biofuel R&D culture, promote a more sustainable biofuel development and increase the public awareness of biofuels. The implementation of biofuels will have a reducing effect on the total GWP and fossil fuel consumption. Gasoline is projected to remain the predominant fuel in the transport sector. Therefore will actions targeting the reduction or substitution of gasoline be more impactful than those towards diesel. However due to the availability and current production capacity of biodiesel there is still potential for higher share of biodiesel in fuels.

Major cyber attacks against the cyber networks of organizations has become a common phenomenon nowadays. Cyber attacks are carried out both through the spread of malware and also through multi-stage attacks known as hacking. A cyber network can be represented directly as a simple directed or undirected network (graph) of nodes and arcs. It can also be represented by a transformed network such as the attack graph which uses information about network topology, attacker profile, and existing vulnerabilities to represent all the potential attack paths from readily accesible vulnerabilities to valuable target nodes. Then, interdicting or hardening a subset of arcs in the network naturally maps into deploying security countermeasures on the associated devices or connections. In this dissertation, we develop network interdiction models and algorithms to optimally select a subset of arcs which upon interdiction minimizes the spread of infection or minimizes the loss from multi-stage attacks. In particular, we define four novel network connectivity-based metrics and develop interdiction models to optimize the metrics. Direct network representation of the physical cyber network is used as the underlying network in this case. Two of the interdiction models prove to be very effective arc removal methods for minimizing the spread of infection. We also develop multi-level network interdiction models that remove a subset of arcs to minimize the loss from multi-stage attacks. Our models capture the defenderattacker interaction in terms of stackelberg zero-sum games considering the attacker both as a complete rational and bounded rational agents. Our novel solution algorithms based on constraint and column generation and enhanced by heuristic methods efficiently solve the difficult multi-level mixed-integer programs with integer variables in all levels in reasonable times.

This study focuses on the importance of intrinsic and extrinsic work rewards among women and men in 12 post-industrial nations in the Global North. Guiding my analyses was Esping-Andersen’s theoretical framework and the following three main research questions: (1) how individual attributes and national policies influence the salience individuals assign to intrinsic and extrinsic rewards; (2) how individual attributes and national policies differ from each other in relative magnitude as predictors of the value individuals assign to intrinsic and extrinsic rewards; and (3) how individual attributes and national policies impact the importance individuals assign to intrinsic and extrinsic rewards differs by gender. For the micro level analysis, I used data from the 2005 International Social Survey Program Work Orientation Module. The twelve countries included in the analysis are Australia, Denmark, Belgium, Canada, Finland, France, Germany, Ireland, Norway, Sweden, United Kingdom, and the United States. Macro level policy data are drawn from the 2005 Social Expenditure Database and maternity leave data are from the 2005 International Network on Leave Policy and Research. Analysis was performed using Stata regression with the cluster command. While not all variables included in the model were statistically significant, the general hypotheses were supported with the following results: (1) micro level variables (education, income, and employment) and macro level variables (paid family leave and the percentage of GDP spent on childcare and pre-primary education) increased the importance individual’s assign to intrinsic rewards; (2) the lack of human capital increases an individual’s emphasis on extrinsic rewards; (3) while macro level variables have a far greater impact on the importance individuals assign to intrinsic work rewards, both micro and macro level factors are important for explaining the maximum possible variation in the importance individuals assign to intrinsic work rewards; and (4) gender does not change the value an individual assigns to intrinsic or extrinsic rewards. This study represents a new, more comprehensive approach to studying the relationships among micro-level factors, structural opportunities and constraints, intrinsic and extrinsic work rewards, and gender. A review of the literature shows no other studies of this scope.