The Doctoral Thesis explores Sustainability-oriented transition mechanisms (SUS) at different levels of analysis (Country, inter-organizational, and organizational levels). The focus of the study is Digital Transformation (DT) and the Collaborative (multi-stakeholder) (COL) dimensions. By disentangling between COL and DT, the thesis proves that Digital Transformation and the Collaborative dimension are sufficient conditions to achieve Sustainable outcomes. In particular, the Collaborative dimension mediates the impact that Digital Transformation has on Sustainability transitions, which the existing literature identifies as a direct effect. The motivation behind these results seems to emerge from the explorative longitudinal case study, where a digital platform represents a tool able to increase the efficiency of collaboration dynamics and enable sustainable outcomes. After five years, the platform ecosystem collapsed as the leading ecosystem firm failed to effectively engage with multiple stakeholders toward sustainability outcomes and began transitioning towards lower levels of sustainability.

La collaboration constitue une stratégie efficace pour aider les organisations et les individus à évoluer dans des environnements dynamiques et complexes, et génère de nombreux avantages cognitifs, affectifs et pécuniaires. De plus en plus, les équipes de travail sont impliquées dans des collaborations complexes, lesquelles requièrent de transiger à travers les frontières nationales, organisationnelles et disciplinaires. Bien que les collaborations complexes soient de plus en plus courantes en milieux organisationnels et étudiées par les scientifiques, peu d’études empiriques ont été réalisées sur le sujet et la documentation inhérente est disséminée dans divers silos parallèles de connaissances, donnant lieu à des modèles conceptuels divergents et incomplets. L’importance croissante de ces formes de collaboration crée l’impératif scientifique et pratique d’en acquérir une meilleure compréhension ainsi que d’identifier et d’évaluer les conditions et les facteurs qui favorisent leur succès et leur efficacité. Cette thèse vise à combler les lacunes susmentionnées et permettre un avancement des connaissances sur le sujet par l’entremise de deux articles répondant à divers objectifs de recherche. Le premier article avance une définition claire des collaborations complexes, en vue de réduire la confusion entourant ce construit. Il présente également la première revue de documentation sur les facteurs favorisant le succès des collaborations complexes, unifiant les résultats issus de divers contextes et disciplines scientifiques. Cette démarche a permis d’identifier 14 variables clés provenant de 26 études empiriques. À partir de ces données, un modèle conceptuel fondé sur des assises théoriques solides et reconnues en psychologie du travail et des organisations est proposé, offrant ainsi un canevas systémique et dynamique du phénomène ainsi qu’une orientation détaillée des pistes de recherches pertinentes. Le deuxième article part des résultats obtenus dans le premier article afin d’évaluer empiriquement les relations entre certains facteurs clés ayant un impact sur des extrants importants de collaborations complexes. L’étude multiphasique est réalisée auprès de 16 équipes de projets (N=93) interdisciplinaires et interorganisationnelles prenant part à des sessions de travail intensives visant la production de concepts novateurs en design intégré lié au développement durable. Les analyses corrélationnelles montrent des liens positifs entre l’ouverture à la diversité, les processus collaboratifs, la viabilité, la performance d’équipe et la performance de projet, ainsi que des liens négatifs entre les conflits et ces mêmes extrants. De plus, les analyses de médiation multiple révèlent qu’une plus grande ouverture à la diversité influence positivement la viabilité, la performance d’équipe et la performance de projet en favorisant les processus collaboratifs efficaces et en réduisant les conflits. Les implications théoriques et pratiques découlant de ces résultats sont discutées. / Collaboration is an effective strategy to help organizations and individuals evolve in turbulent and complex environments, yielding numerous cognitive, affective, financial benefits. Increasingly, work teams are involved in complex collaborations, which require working across national, organizational and disciplinary boundaries. Although complex collaborations are increasingly prevalent and studied, there are few empirical studies on the subject and related literature is scattered in parallel knowledge silos, and poorly integrated conceptually. The growing ubiquity and reliance on these forms of collaboration creates a scientific and practical imperative to improve their understanding, as well as to identify and assess conditions and factors that promote their success and effectiveness. This thesis aims to address abovementioned gaps and knowledge advances through two articles, each targeting several objectives. The first paper provides a clear definition of complex collaborations, meant to decipher some of the confusion surrounding this construct. It also presents the first review of literature on factors fostering success of complex collaborations, unifying findings across research disciplines and contexts, which allowed to uncover 14 key variables from 26 empirical studies. Based on these findings, a theoretically grounded framework capturing functional and dynamic relationships among identified factors is introduced and developed, providing comprehensive and systemic view of the phenomenon and orienting pertinent research paths. The second article capitalizes on findings from the first paper to empirically investigate relationships between key factors affecting important outcomes of complex collaborations. The multi-wave survey is conducted with 16 interdisciplinary and inter-organizational projects teams (N=93) participating in intense work sessions aimed at producing innovative integrated design concepts. Correlational analyses show positive relationships between openness to diversity, collaborative processes, viability, team performance, and project performance, as well as negative relations between conflicts and the latter constructs. Further, multiple mediation analyses reveal that greater openness to diversity affects viability, team performance, and project performance by way of promoting efficient collaborative processes and inhibiting conflicts. Theoretical and practical implications from these findings are discussed.

La collaboration constitue une stratégie efficace pour aider les organisations et les individus à évoluer dans des environnements dynamiques et complexes, et génère de nombreux avantages cognitifs, affectifs et pécuniaires. De plus en plus, les équipes de travail sont impliquées dans des collaborations complexes, lesquelles requièrent de transiger à travers les frontières nationales, organisationnelles et disciplinaires. Bien que les collaborations complexes soient de plus en plus courantes en milieux organisationnels et étudiées par les scientifiques, peu d’études empiriques ont été réalisées sur le sujet et la documentation inhérente est disséminée dans divers silos parallèles de connaissances, donnant lieu à des modèles conceptuels divergents et incomplets. L’importance croissante de ces formes de collaboration crée l’impératif scientifique et pratique d’en acquérir une meilleure compréhension ainsi que d’identifier et d’évaluer les conditions et les facteurs qui favorisent leur succès et leur efficacité. Cette thèse vise à combler les lacunes susmentionnées et permettre un avancement des connaissances sur le sujet par l’entremise de deux articles répondant à divers objectifs de recherche. Le premier article avance une définition claire des collaborations complexes, en vue de réduire la confusion entourant ce construit. Il présente également la première revue de documentation sur les facteurs favorisant le succès des collaborations complexes, unifiant les résultats issus de divers contextes et disciplines scientifiques. Cette démarche a permis d’identifier 14 variables clés provenant de 26 études empiriques. À partir de ces données, un modèle conceptuel fondé sur des assises théoriques solides et reconnues en psychologie du travail et des organisations est proposé, offrant ainsi un canevas systémique et dynamique du phénomène ainsi qu’une orientation détaillée des pistes de recherches pertinentes. Le deuxième article part des résultats obtenus dans le premier article afin d’évaluer empiriquement les relations entre certains facteurs clés ayant un impact sur des extrants importants de collaborations complexes. L’étude multiphasique est réalisée auprès de 16 équipes de projets (N=93) interdisciplinaires et interorganisationnelles prenant part à des sessions de travail intensives visant la production de concepts novateurs en design intégré lié au développement durable. Les analyses corrélationnelles montrent des liens positifs entre l’ouverture à la diversité, les processus collaboratifs, la viabilité, la performance d’équipe et la performance de projet, ainsi que des liens négatifs entre les conflits et ces mêmes extrants. De plus, les analyses de médiation multiple révèlent qu’une plus grande ouverture à la diversité influence positivement la viabilité, la performance d’équipe et la performance de projet en favorisant les processus collaboratifs efficaces et en réduisant les conflits. Les implications théoriques et pratiques découlant de ces résultats sont discutées. / Collaboration is an effective strategy to help organizations and individuals evolve in turbulent and complex environments, yielding numerous cognitive, affective, financial benefits. Increasingly, work teams are involved in complex collaborations, which require working across national, organizational and disciplinary boundaries. Although complex collaborations are increasingly prevalent and studied, there are few empirical studies on the subject and related literature is scattered in parallel knowledge silos, and poorly integrated conceptually. The growing ubiquity and reliance on these forms of collaboration creates a scientific and practical imperative to improve their understanding, as well as to identify and assess conditions and factors that promote their success and effectiveness. This thesis aims to address abovementioned gaps and knowledge advances through two articles, each targeting several objectives. The first paper provides a clear definition of complex collaborations, meant to decipher some of the confusion surrounding this construct. It also presents the first review of literature on factors fostering success of complex collaborations, unifying findings across research disciplines and contexts, which allowed to uncover 14 key variables from 26 empirical studies. Based on these findings, a theoretically grounded framework capturing functional and dynamic relationships among identified factors is introduced and developed, providing comprehensive and systemic view of the phenomenon and orienting pertinent research paths. The second article capitalizes on findings from the first paper to empirically investigate relationships between key factors affecting important outcomes of complex collaborations. The multi-wave survey is conducted with 16 interdisciplinary and inter-organizational projects teams (N=93) participating in intense work sessions aimed at producing innovative integrated design concepts. Correlational analyses show positive relationships between openness to diversity, collaborative processes, viability, team performance, and project performance, as well as negative relations between conflicts and the latter constructs. Further, multiple mediation analyses reveal that greater openness to diversity affects viability, team performance, and project performance by way of promoting efficient collaborative processes and inhibiting conflicts. Theoretical and practical implications from these findings are discussed.

The use of distributed systems, involving multiple components, has become a common industry practice. However, modeling the behaviour of such systems is a challenge, especially when the behavior consists of several collaborations of different parties, each involving possibly several starting (input) and ending (output) events of the involved components. Furthermore, the global behavior should be described as a composition of several sub-behaviours, in the following called collaborations, and each collaboration may be further decomposed into several sub-collaborations. We assume that the performance of the elementary sub-collaborations is known, and that the performance of the global behavior should be determined from the performance of the contained elementary collaborations and the form of the composition. A collaboration, in this thesis, is characterized by a partial order of input and output events, and the performance of the collaboration is defined by the minimum delays required for a given output event with respect to an input event. This is a generalization of the semantics of UML Activities, where all input events are assumed to occur at the same time, and all output events occur at the same time. We give a semantic definition of the dynamic behavior of composed collaborations using the composition operators for control flow from UML Activity diagrams, in terms of partial order relationships among the involved input and output events. Based on these semantics, we provide formulas for calculating the performance of composed collaborations in terms of the performance of the sub-collaborations, where each delay is characterized by (a) a fixed value, (b) a range of values, and (c) a distribution (in the case of stochastic behaviours). We also propose approximations for the case of stochastic behavior with Normal distributions, and discuss the expected errors that may be introduced due to ignoring of shared resources or possible dependencies in the case of stochastic behaviours. A tool has been developed for evaluating the performance of complex collaborations, and examples and case studies are discussed to illustrate the applicability of the performance analysis and the visual notation which we introduced for representing the partial-order relationships of the input and output events.

The use of distributed systems, involving multiple components, has become a common industry practice. However, modeling the behaviour of such systems is a challenge, especially when the behavior consists of several collaborations of different parties, each involving possibly several starting (input) and ending (output) events of the involved components. Furthermore, the global behavior should be described as a composition of several sub-behaviours, in the following called collaborations, and each collaboration may be further decomposed into several sub-collaborations. We assume that the performance of the elementary sub-collaborations is known, and that the performance of the global behavior should be determined from the performance of the contained elementary collaborations and the form of the composition. A collaboration, in this thesis, is characterized by a partial order of input and output events, and the performance of the collaboration is defined by the minimum delays required for a given output event with respect to an input event. This is a generalization of the semantics of UML Activities, where all input events are assumed to occur at the same time, and all output events occur at the same time. We give a semantic definition of the dynamic behavior of composed collaborations using the composition operators for control flow from UML Activity diagrams, in terms of partial order relationships among the involved input and output events. Based on these semantics, we provide formulas for calculating the performance of composed collaborations in terms of the performance of the sub-collaborations, where each delay is characterized by (a) a fixed value, (b) a range of values, and (c) a distribution (in the case of stochastic behaviours). We also propose approximations for the case of stochastic behavior with Normal distributions, and discuss the expected errors that may be introduced due to ignoring of shared resources or possible dependencies in the case of stochastic behaviours. A tool has been developed for evaluating the performance of complex collaborations, and examples and case studies are discussed to illustrate the applicability of the performance analysis and the visual notation which we introduced for representing the partial-order relationships of the input and output events.

Background: Before digitization, it was increasingly difficult to reach new target groups. However, during the early 2000s, this changed when the web 2.0 emerged with the "dot-com" bubble. This paved the way for a new phenomenon, social media that is a way for users to share their views and thoughts. Using social media as a marketing strategy has contributed to an increasing number of companies being able to reach a wider audience. This has led to a new concept which is influencers, where they can influence their followers via their social media, which companies have started to use. By implementing this in their marketing strategies, it allows them to reach new target groups and markets. However, it can be difficult for the followers to decide what is genuine or not when marketing is via influencers. Purpose: The purpose of this study is to investigate how the relationship of the followers to influencers is affected by different collaborations between companies and influencers. Method: This study implements a qualitative research strategy where semi-structured interviews and observations have been applied to collect the empirical material. To get a variation in the result, 12 respondents of different ages and genders have been interviewed. Conclusion: Based on the results of the study, it has proved important that an influencer shows authenticity, in order for the followers to trust them and that values should be consistent with the image they want to convey. The conclusions also show that previous relationships to an influencer and how often they make a collaboration can play a crucial role in how the followers receive it. / Bakgrund:Innan digitaliseringen var det allt svårare för företag att nå ut till nya målgrupper. Under början av 2000-talet ändrades dock detta då web 2.0 växte fram med “dot-com” bubblan. Detta banade vägen för ett nytt fenomen, sociala medier som är ett sätt för användare att dela sina åsikter och tankar. Att använda sociala medier som en marknadsföringsstrategi har bidragit till att allt fler företag kan nå en bredare publik. Detta har lett fram till ett nytt begrepp vilket är influencers, där de via sina sociala medier kan påverka sin följare vilket företag har börjat utnyttja. Genom att implementerat detta i sina marknadsstrategier kan de nå nya målgrupper och marknader genom att rikta sig på de områden som är attraktiva. Dock kan det bli svårt för följarna att avgöra vad som är äkta eller inte när marknadsföringen sker via influencers.  Syfte: Syftet med denna studie är att undersöka hur följarnas förhållande till influencers påverkas av olika samarbeten mellan företag och influencers.  Metod: Studien förhåller sig till en kvalitativ forskningsstrategi där semi-struktuerade intervjuer och observationer har tillämpats för att samla in det empiriska materialet. För att få en variation i resultatet har det intervjuats 12 respondenter i olika åldrar och kön.  Slutsats: Utifrån studiens resultat har det visat sig vara viktigt att en influencer visar på autenticitet, en form av äkthet för att följarna ska känna förtroende till dem och att värderingar ska stämma överens med den bild de vill förmedla. Slutsatserna visar även på att tidigare relationer till en influencer och hur ofta de gör ett samarbete kan spela en avgörande roll i hur följarna tar emot det.

Les travailleurs hautement qualifiés - scientifiques et ingénieurs en particulier - sont un atout important pour le développement d’un pays car ils sont des facteurs majeurs dans la production de connaissances. C'est ce qui justifie les efforts compétitifs déployés par plusieurs pays afin d'attirer ces travailleurs. Les pays de destination sont en général décrits comme étant les grands gagnants des migrations des travailleurs hautement qualifiés. Ce qui n'est pas le cas des pays d'origine où ces migrations sont perçues comme une perte en capital humain. Cependant, ce phénomène serait beaucoup plus complexe qu'il n'y parait. En effet, il existe d'autres facteurs inhérents à la dynamique des migrations des travailleurs hautement qualifiés qui restent soit partiellement ou totalement inexplorés dans la littérature. Ces facteurs sont liés à des éléments résultant de ces migrations et pouvant créer des retombées positives vers les pays d'origine tout en contribuant ainsi à l'innovation dans ces pays. Afin d'explorer plus en profondeur cette question, il serait nécessaire de conduire une analyse approfondie autour de la question sur la nature des liens entre migrants hautement qualifiés résidant à l'étranger d'une part et celle des liens qui lient ces migrants à leurs pays d'origine d'autre part. A travers cette analyse, nous nous proposons de contribuer au débat sur le « brain gain » en investiguant les dynamiques de diffusion des connaissances à l'intérieur du réseau des migrants hautement qualifiés dans les pays de destination, mais également vers les pays d'origine. / Highly skilled workers – scientists and engineers in particular – are an important asset for a nation in so far that they enter in the production of knowledge as highly valuable human capital. That is why many countries have been competing for attracting. Receiving countries are in general pictured as the biggest winners from highly skilled migration. While the latter is perceived as a loss for sending countries. However, the situation might not be as simplistic as it seems. Indeed, we believe there are several unexplored factors underpinning the dynamics of highly skilled migration which contribute to some positive feedback to the sending countries in terms of knowledge and innovation while spurring innovation in the destination countries. And for a better understanding of these factors, one needs to look further into the nature of the ties linking highly skilled migrants abroad on one hand and to their home countries on the other hand. With our research we intend to contribute to the brain drain – brain gain trade-off debate by investigating the dynamics of knowledge diffusion within migrants’ networks in receiving countries and more importantly to sending countries.

Cette thèse analyse les processus de politisation et dépolitisation de films documentaires attachés à l'urbain stigmatisé et prend pour objet 42 films tournés dans les quartiers du Centre-ville Basilique à Saint-Denis et de la Joliette à Marseille entre 2000 et 2010. L'enquête s'appuie sur une série d'entretiens semi-directifs auprès des réalisateurs et d'analyses filmiques, ainsi que sur un ensemble de sources afférentes à l'activité promotionnelle ou théorique des réalisateurs. Au croisement des sociologies de l'art, du cinéma, du journalisme et des professionnels engagés, cette thèse vise à dresser les contours d'un espace documentaire en voie d'autonomisation. Elle propose une analyse des trajectoires sociales et professionnelles des documentaristes, des clivages qui le constituent et des collaborations nécessaires à la fabrique et la diffusion des documentaires. Elle est l'occasion de revenir sur nombre de représentations couramment accolées à cette pratique allant du rapport à la politique entendu au sens large, à la place accordée au réalisateur dans le processus de création et à la division entre cinéma et journalisme. En plaçant au centre les logiques de professionnalisation et les relations avec des acteurs, intervenants filmés et publics, étrangers à l'espace documentaire, ce travail reconsidère les conditions d'un engagement politique par et au travers des films. / This thesis analyzes the process of politicization and de-politicization of documentary films that focus on stigmatized urban areas. It is based on 42 films made between 2000 and 2010 in the neighborhoods of Centre-ville Basilique in Saint-Denis and La Joliette in Marseille. This research draws from open-focused interviews with directors and content analysis of the studied films, as well as of other promotional or theoretical productions by the same directors. This thesis aims at understanding the structure and logics of a “documentary world” which is gaining structural autonomy towards other social fields. At the intersection of the sociologies of art, cinema, journalism and politically involved professionals, this study analyses the ambiguous positioning of the filmmakers when it comes to taking a political stand in the light of their social and professional backgrounds, of the professional collaborations that develop around the making and distribution of the films, and of the structural divisions organizing the documentary world. This approach allows us to question several dimensions of documentary film making that are often taken for granted: from the creative power of the director and his/her place in the creative process, to the opposition between cinema and journalism, and the relationship between documentary and politics generally speaking. By placing professionalization mechanisms and the relationships that directors develop with filmed participants and the public at the center of the study, this work sheds new light on the process of political commitment by and through cinematographic productions.

<em>Virtual Frameworks</em> for source migration is a methodology to extract classes and interfaces from one or more frameworks used by an application. After migration, a new set of frameworks called virtual frameworks can replace the original frameworks used. The classes and interfaces extracted are used to create a proxy layer for these new frameworks. The application then depends on this proxy layer, and through it the new frameworks, rather than on the original frameworks. A combination of three patterns: Bridge, Adapter, and Proxy are used in these new frameworks. By doing so the changes made to the application source code are minimized during migration.

<em>Virtual Frameworks</em> for source migration is a methodology to extract classes and interfaces from one or more frameworks used by an application. After migration, a new set of frameworks called virtual frameworks can replace the original frameworks used. The classes and interfaces extracted are used to create a proxy layer for these new frameworks. The application then depends on this proxy layer, and through it the new frameworks, rather than on the original frameworks. A combination of three patterns: Bridge, Adapter, and Proxy are used in these new frameworks. By doing so the changes made to the application source code are minimized during migration.