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Stagl, Salas, Rosen, Priest, Burke, Goodwin, and Johnston (this volume) conducted a review of distributed team performance and discussed some of the implications of distributed, multicultural operations for individual, team, and organizational decision making. Expanding upon Stagl and colleagues’ discussion, Alutto (this volume), and Coovert and Burke (this volume) provided thought-provoking commentary on these issues. The current note briefly responds to some of the questions posed and comments made by Alutto, Coovert, and Burke and concludes by calling for a continued dialogue by all stakeholders concerned with fostering effective distributed teams.

There is currently a shortage of applications for the role of principal. There are a range of factors contributing to this, one of which may be the considerable levels of stress and burnout reported by principals and deputy principals. Distributed leadership may offer some solutions to this challenge. This study aimed to explore the lived experiences of distributed leadership from a role sustainability perspective of school principals and deputy principals.

This paper follows a qualitative interpretivist approach based upon 15 semi-structured interviews with principals and deputy principals working in Irish post-primary schools. Data were analysed via thematic analysis.

Results indicate challenges to the sustainability of the role of senior school leaders comprising administrative overload, policy proliferation and challenges due to the complexity and breadth of the role of these school leaders. It was reported that engagement with distributed leadership could aid the sustainability of participants in their roles and the importance of focusing on well-being practices was also highlighted.

Recommendations include the need to reconsider policy proliferation and the need to reconceptualise school leadership. Further consideration regarding how distributed leadership can aid the sustainability of the role of senior school leaders, without adversely contributing to the already busy role of schoolteachers is also recommended.

The findings of this study are valuable as they reflect previous findings relating to the current challenges to sustainable school leadership as well as highlight distributed leadership as a potential aid to mitigate against these challenges.

Distributed performance arrangements are increasingly used by organizations to structure dyadic and team interactions. Unfortunately, distributed teams are no panacea. This chapter reviews some of the advantages and disadvantages associated with the geographical and temporal distribution of team members. An extended discussion of the implications of distributed team performance for individual, team, and organizational decision making is provided, with particular attention paid to selected cultural factors. Best practices and key points are advanced for those stakeholders charged with offsetting the performance decrements in decision making that can result from distribution and culture.

The chapter describes the basics of developed high-level spatial grasp technology (SGT) and its spatial grasp language (SGL) allowing us to create and manage very large distributed systems in physical, virtual and executive domains in a highly parallel manner and without any centralized resources. Main features of SGT with its self-evolving and self-spreading spatial intelligence, recursive nature of SGL and organization of its networked interpreter will be briefed. Numerous interpreter copies can be installed worldwide and integrated with other systems or operate autonomously and collectively in critical situations. Relation of SGT, with capability of holistic solutions in distributed systems, to the gestalt psychology and theory, showing unique qualities of human mind and brain to directly grasp the whole of different phenomena, will be explained too, with SGT serving as an attempt to implement the notion of gestalt for distributed applications.

The concept of distributed leadership within library services is explored in this chapter. It focuses on how this model of leadership, which devolves leadership functions and practice widely throughout organizations, can lead to intra- and interorganizational collaboration as a catalyst for library service development and innovation. The chapter discusses the distributed leadership approach by presenting selected results of a study of team leaders in public and university library services in the East Midlands region of the United Kingdom. The study employed an online questionnaire and individual interviews with library team leaders to identify the level and nature of collaboration taking place in library services and also to ascertain the skills needed for successful partnership work. The interviews focused primarily on how and why collaborations occurred and it emerged that the team leaders had considerable autonomy to establish and participate in partnerships, fitting well within the distributed leadership paradigm. The chapter adds to, and augments the limited literature on distributed models of leadership in libraries by exploring how this approach works in practice. It also proposes and evidences a link between distributed leadership, collaborative working, and innovation. The authors suggest that distributed leadership can help library services innovate and lead service development by freeing up the creativity of employees through a less formal, hierarchical leadership approach. The chapter ends with propositions for a research agenda to establish the best conditions and most appropriate format of distributed leadership in library services.

The purpose of this study was to investigate the mediating role of teachers' intrinsic and extrinsic motivation in the relationship between principals' perceived distributed leadership and organizational learning capability in schools.

The study employs a quantitative research design and a survey methodology. Data were collected from 400 teachers in Bahrain.

The results reveal that teachers' intrinsic and extrinsic motivation fully mediates the relationship between principals' perceived distributed leadership and organizational learning capability in schools.

The study contributes to the literature on distributed leadership, organizational learning and motivation by highlighting the important mediating role of teachers' intrinsic and extrinsic motivation in the relationship between principals' perceived distributed leadership and organizational learning capability. The study also has practical implications for school administrators by suggesting that distributed leadership practices can be an effective strategy for promoting organizational learning capability in schools.

The purpose of this study is to examine the effect of distributed leadership on organizational commitment and the role of trust and open group climate as moderator variables in this relationship.

To test the conceptual model and research hypotheses empirically, the authors collected data based on an investigation over a sample of 318 engineers in the Information Technology telecommunication sector in Tunisia. The results were analyzed using factor analysis and structural equation modeling.

The results show a significant and positive impact of the support function, of the participation in decision-making and cooperation on organizational commitment. The authors find evidence for the existence of a positive moderating effect of trust and affective climate at the level of the causal link between distributed leadership and organizational commitment dimensions.

These results provide useful indications for managers within the framework of leadership style that is more appropriate to the group’s proper functioning. Throughout this work, managers will know that distributed leadership is adapted to create a social climate based on dialogue and trust, an essential element of distributed leadership. Supervision and authority should give up a coercive vision in a more cooperative and constructive approach. Coordination should be founded on a horizontal and transversal vision of the organization.

Distributed leadership is increasingly seen as a key vehicle for firms’ improvement and renewal. However, research on this concept was largely conducted in the field of education and health. Studies dealing with small and medium-sized companies are rather scarce. There are not, to the best of the authors’ knowledge, any works in the Tunisian context because the majority of the reference studies are Anglo-Saxon. The originality and value of this research lies in its anchoring in the context. Moreover, this study provides empirical evidence of the importance of the role of the affective climate on organizational commitment. Indeed, engagement is a behavioral and attitudinal indicator of organizational climate. This paper is intended to provide a stimulus for exploring the distributed leadership area in terms of shaping thinking and designs for organizational change to enhance organizational commitment in a highly digital world.

In this paper, two omni‐directional mobile vehicles are designed and controlled implementing distributed mechatronics controllers. Omni‐directionality is the ability of mobile vehicle to move instantaneously in any direction. It is achieved by implementing Mecanum wheels in one vehicle and conventional wheels in another vehicle. The control requirements for omni‐directionality using the two above‐mentioned methods are that each wheel must be independently driven, and that all the four wheels must be synchronized in order to achieve the desired motion of each vehicle.

Distributed mechatronics controllers implementing Controller Area Network (CAN) modules are used to satisfy the control requirements of the vehicles. In distributed control architectures, failures in other parts of the control system can be compensated by other parts of the system. Three‐layered control architecture is implemented for; time‐critical tasks, event‐based tasks, and task planning. Global variables and broadcast communication is used on CAN bus. Messages are accepted in individual distributed controller modules by subscription.

Increase in the number of distributed modules increases the number of CAN bus messages required to achieve smooth working of the vehicles. This requires development of higher layer to manage the messages on the CAN bus.

The limitation of the research is that analysis of the distributed controllers that were developed is complex, and that there are no universally accepted tool for conducting the analysis. The other limitation is that teh mathematical models of the mobile robot that have been developed need to be verified.

In the design of omni‐directional vehicles, reliability of the vehicle can be improved by modular design of mechanical system and electronic system of the wheel modules and the sensor modules.

The paper tries to show the advantages of distributed controller for omni‐directional vehicles. To the author's knowledge, that is a new concept.

The purpose of this paper is to propose distributed learning-based three different metaheuristic algorithms for the identification of nonlinear systems. The proposed algorithms are experimented in this study to address problems for which input data are available at different geographic locations. In addition, the models are tested for nonlinear systems with different noise conditions. In a nutshell, the suggested model aims to handle voluminous data with low communication overhead compared to traditional centralized processing methodologies.

Population-based evolutionary algorithms such as genetic algorithm (GA), particle swarm optimization (PSO) and cat swarm optimization (CSO) are implemented in a distributed form to address the system identification problem having distributed input data. Out of different distributed approaches mentioned in the literature, the study has considered incremental and diffusion strategies.

Performances of the proposed distributed learning-based algorithms are compared for different noise conditions. The experimental results indicate that CSO performs better compared to GA and PSO at all noise strengths with respect to accuracy and error convergence rate, but incremental CSO is slightly superior to diffusion CSO.

This paper employs evolutionary algorithms using distributed learning strategies and applies these algorithms for the identification of unknown systems. Very few existing studies have been reported in which these distributed learning strategies are experimented for the parameter estimation task.

This monograph defines distributed intelligence and discusses the relationship of distributed intelligence to data base, justifications for using the technique, and the approach to successful implementation of the technique. The approach is then illustrated by reference to a case study of experience in Birds Eye Foods. The planning process by which computing strategy for the company was decided is described, and the planning conclusions reached to date are given. The current state of development in the company is outlined and the very real savings so far achieved are specified. Finally, the main conclusions of the monograph are brought together. In essence these conclusions are that major savings are achievable using distributed intelligence, and that the implementation of a company data processing plan can be made quicker and simpler by its use. However, careful central control must be maintained so as to avoid fragmentation of machine, language skills, and application taking place.