How does authentic leadership influence subordinate outcomes? It depends on whom you ask. Using Walumbwa, Avolio, Gardner, Wernsing, and Peterson’s (2008) theory-based measure of authentic leadership, this dissertation research advances the authentic leadership literature by: 1) examining relations between managers’ self-reported and subordinates’ ratings of authentic leadership and subordinate outcomes; 2) testing the theoretical proposition that more authentic leaders are inherently more ethical both in the values they subscribe to and in their behavior when compared to less authentic leaders; and 3) examining the mediating mechanisms that account for relations between authentic leadership and subordinate outcomes. Using a field sample of 188 managers and 75 subordinates, results revealed that subordinates and their managers do not see eye to eye in their perceptions of managers’ authentic leadership as the correlation between their ratings was only marginally significant. General support was found for the notion that more authentic leaders subscribe more to self-transcendent values and less to self-enhancement values when compared to less authentic leaders; they also engage in more ethical decision making. Furthermore, results showed that authentic leadership is associated with a broad range of subordinate outcomes, including leader-member exchange, affective organizational commitment, organizational citizenship behavior, and job performance. However, these relations were found only within source. Mediation analyses revealed that subordinates’ trust in their manager partially mediated the relation between subordinate-rated authentic leadership and subordinates’ perceptions of the quality of their relationship with their manager (LMX). Mediation analyses also revealed that subordinates’ trust in their manager and their sense of psychological empowerment each mediated relations between subordinate-rated authentic leadership and subordinates’ affective organizational commitment. In addition, managers’ self-reported empowering leader behavior mediated the relation between managers’ self-rated authentic leadership and their ratings of their subordinates’ organizational citizenship behavior. Implications for research and practice are discussed.

Multi-vehicle systems offer many advantages in engineering applications such as increased efficiency and robustness. However, the disadvantage of multi-vehicle systems is that they require a high level of organization and coordination in order to successfully complete a task. Formation control is a field of engineering that addresses this issue, and provides coordination schemes to successfully implement multi-vehicle systems. Two approaches to group coordination were proposed in this work: geometric and self-organizing formations. A geometric reconfiguring formation was developed using the leader-follower method, and the self-organizing formation was developed using the velocity potential equations from fluid flow theory. Both formation controllers were first tested in simulation in MATLAB, and then implemented on the X80 mobile robot units. Various experiments were conducted to test the formations under difficult obstacle scenarios. The robots successfully navigated through the obstacles as a coordinated as a team using the self-organizing and geometric formation control approaches.

Multi-vehicle systems offer many advantages in engineering applications such as increased efficiency and robustness. However, the disadvantage of multi-vehicle systems is that they require a high level of organization and coordination in order to successfully complete a task. Formation control is a field of engineering that addresses this issue, and provides coordination schemes to successfully implement multi-vehicle systems. Two approaches to group coordination were proposed in this work: geometric and self-organizing formations. A geometric reconfiguring formation was developed using the leader-follower method, and the self-organizing formation was developed using the velocity potential equations from fluid flow theory. Both formation controllers were first tested in simulation in MATLAB, and then implemented on the X80 mobile robot units. Various experiments were conducted to test the formations under difficult obstacle scenarios. The robots successfully navigated through the obstacles as a coordinated as a team using the self-organizing and geometric formation control approaches.

L’objectif de cette thèse est de développer et étudier des modèles mathématiques d’échanges économiques, basés sur la flexibilité de la demande, entre fournisseurs et consommateurs d’électricité. D’une part, des fournisseurs d’électricité offrent des prix dépendant de l’heure de consommation. D’autre part, des consommateurs adaptent leur usage, minimisant leur facture et le désagrément lié aux changements de consommation induits. La structure de ces problèmes correspond à des problèmes d’optimisation bi-niveau. Trois types de modèles sont étudiés. Tout d’abord, l’interaction entre un fournisseur et un opérateur de smart grid est modélisée par un problème à un seul meneur et un seul suiveur. Pour cette première approche, le niveau de détails du suiveur est particulièrement élevé, et inclut notamment une gestion stochastique de la production distribuée. La meilleure réponse d’un fournisseur dans un modèle à plusieurs meneurs et plusieurs suiveurs fait l’objet de la seconde partie de la thèse. Celle-ci intègre aussi la possibilité d’avoir des agrégateurs comme suiveurs. Deux nouvelles méthodes de résolution reposant sur la sélection d’équilibres de Nash entre suiveurs sont proposées. Enfin, dans une troisième et dernière partie, on se focalise sur la recherche d’équilibres non coopératifs pour ce modèle à plusieurs meneurs et plusieurs suiveurs.Tous les problèmes abordés dans cette thèse le sont non seulement d’un point de vue théorique, mais également d’un point de vue numérique / The objective of this thesis is to develop and study mathematical models of economical exchanges between energy suppliers and consumers, using demand-side management. On one hand, the suppliers offer time-of-use electricity prices. On the other hand, energy consumers decide on their energy demand schedule, minimizing their electricity bill and the inconvenience due to schedule changes. This problem structure gives rise to bilevel optimization problems.Three kinds of models are studied. First, single-leader single-follower problems modeling the interaction between an energy supplier and a smart grid operator. In this first approach, the level of details is very high on the follower’s side, and notably includes a stochastic treatment of distributed generation. Second, a multi-leader multi-follower problem is studied from the point of view of the best response of one of the suppliers. Aggregators are included in the lower level. Two new resolution methods based on a selection of Nash equilibriums at the lower level are proposed. In the third and final part, the focus is on the evaluation of noncooperative equilibriums for this multi-leader multi-follower problem.All the problems have been studied both from a theoretical and numerical point of view.

Retention of qualified and experienced employees is the greatest challenge faced by nonprofit organizations. Using transformational leadership theory, the purpose of this single-case study was to explore strategies used by managers of nonprofit organizations to increase employee retention. The population for this study included 3 managers of one nonprofit organization in Texarkana, Texas, with tenure of at least 2 years. These managers had successfully implemented retention strategies to retain qualified and experienced employees for more than 2 years. Collected data included semistructured, face-to-face interviews and from archived documents that pertained to employee retention in nonprofit organizations. The data analysis process comprised 5 steps: compiling, disassembling data for coding, reassembling, interpreting, and reporting data themes. The use of member checking and methodological triangulation increased the trustworthiness of interpretations. The 2 themes that emerged from this study were motivational incentives and effective communication. The implications for positive social change in the nonprofit sector include sustaining the workforce by retaining qualified and experienced employees. With less employee turnover, nonprofit leaders may experience real cost savings. Nonprofit leaders may find the cost savings beneficial in extending available funds for services to local communities.

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The use of unmanned aerial vehicles (UAV), so-called drones, has been growingrapidly in the last decade. Today, they are used for, among other things, monitoring missions and inspections of places that are difficult for people to access. Toefficiently and robustly execute these types of missions, a swarm of drones maybe used, i.e., a collection of drones that coordinate together. However, this introduces new requirements on what solutions are used for control and navigation. Two important aspects of autonomous navigation of drone swarms are formationcontrol and collision avoidance. To manage these problems, we propose four different solution algorithms. Two of them use leader-follower control to keep formation, Artificial PotentialField (APF) for path planning and Control Barrier Function (CBF)/ExponentialControl Barrier Function (ECBF) to guarantee that the control signal is safe i.e.the drones keep the desired safety distance. The other two solutions use an optimal control problem formulation of a motion planning problem to either generate open-loop or closed-loop trajectories with a linear quadratic regulator (LQR)controller for trajectory following. The trajectories are optimized in terms of timeand formation keeping. Two different controllers are used in the solutions. Oneof which uses cascade PID control, and the other uses a combination of cascadePID control and LQR control. As a way to test our solutions, a scenario is created that can show the utilityof the presented algorithms. The scenario consists of two drone swarms that willtake on different missions executed in the same environment, where the droneswarms will be on a direct collision course with each other. The implementedsolutions should keep the desired formation while smoothly avoiding collisionsand deadlocks. The tests are conducted on real UAVs, using the open sourceflying development platform Crazyflie 2.1 from Bitcraze AB. The resulting trajectories are evaluated in terms of time, path length, formation error, smoothnessand safety.  The obtained results show that generating trajectories from an optimal control problem is superior compared to using APF+leader-follower+CBF/ECBF. However, one major advantage of the last-mentioned algorithms is that decision making is done at every time step making these solutions more robust to disturbancesand changes in the environment.

Introduction: The co-construction of leadership is a relatively new theoretical concept thatis growing in demand in the field of science. Since our global workforce becomes moreheterogenous and attitudes towards leader-follower relationships evolve, a successfulinteraction between leaders and followers becomes more central to the overall functioningof an organisation. With a global business climate that gradually shifts its focus onemploying more horizontal modes of organising, more emphasis is put on improving thequality of dyadic work relationships. Purpose: The purpose of this study is to explore the esteemed role of follower behaviourin the co-construction of leadership in an intercultural context. Since most literatureemphasis on leader-follower relationships we are interested in exploring a follower-centricperspective on the co-construction of leadership. By adding the aspect of interculturalcontexts, a broader understanding of the impact of culture and communication can beapplied to this study. Research methodology: This study is a case study based on a qualitative research methodwith an inductive research approach. We have held nine recorded semi-structuredinterviews nearly equally spread between leaders and followers with different culturalbackgrounds working for a MNC in the finance industry. We have created a conceptualtheoretical model which was constructed based on findings of empirical data, which isbased on the following five themes - follower behaviour, leader behaviour, working in anintercultural context, leader-follower relationship, and co-construction of leadership. Results and analysis: The result of this study reveals that follower behaviour, leaderbehaviour, dyadic leader-follower relationships, and constructive communication areimportant aspects to have knowledge of to comprehend what actions can be undertaken tofacilitate the co-construction of leadership in an intercultural context. Conclusion: The role of follower behaviour in the co-construction of leadership in anintercultural context plays an active role in the co-constructing of leadership. Bydisplaying certain desirable behaviour and traits, as well as communicating constructively,followers can positively influence leadership. This can be facilitated by leaders that enablefollowers with trust, partnership and growth. In addition, interculturality adds anadditional layer that encompasses diverse perspectives and approaches and encouragespersonal growth.

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Formation planning and control for multi-agent robotic systems enables tasks to be completed more efficiently and robustly compared to using a single agent. Applications are found in fields such as agriculture, mining, autonomousvehicle platooning, surveillance, space exploration, etc. In this paper, a complete framework for formation path planning for holonomic ground robots in an obstacle-rich environment is proposed. The method utilizes the Fast Marching Square (FM2) path planning algorithm, and a formation keeping approach which falls within the Leader-Follower category. Contrary to most related works, the role of leader is dynamically assigned to avoid unnecessary rotation of the formation. Furthermore, the roles of the followers are also dynamically assigned to fit the current geometry of the formation. A flexible spring-damper system prevents inter-robot collisions and helps maintain the formation shape. An obstacle avoidance step at the end of the pipeline keeps the spring forces from driving robots into obstacles. The framework is tested on a formation consisting of three Unitree Go1 quadruped robots, both in the Gazebo simulation environment and in lab experiments. The results are successful and indicate that the method is feasible, although further work is needed to adjust the role assignment for larger formations, combine the framework with Simultaneous Localization and Mapping (SLAM) and provide a more robust handling of dynamic obstacles.