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Book part
Publication date: 17 July 2007

Kevin C. Stagl, Eduardo Salas, Michael A. Rosen, Heather A. Priest, C. Shawn Burke, Gerald F. Goodwin and Joan H. Johnston

Stagl, Salas, Rosen, Priest, Burke, Goodwin, and Johnston (this volume) conducted a review of distributed team performance and discussed some of the implications of…

Abstract

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.

Details

Multi-Level Issues in Organizations and Time
Type: Book
ISBN: 978-0-7623-1434-8

Book part
Publication date: 17 July 2007

Kevin C. Stagl, Eduardo Salas, Michael A. Rosen, Heather A. Priest, C. Shawn Burke, Gerald F. Goodwin and Joan H. Johnston

Distributed performance arrangements are increasingly used by organizations to structure dyadic and team interactions. Unfortunately, distributed teams are no panacea…

Abstract

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.

Details

Multi-Level Issues in Organizations and Time
Type: Book
ISBN: 978-0-7623-1434-8

Book part
Publication date: 8 November 2019

Peter Simon Sapaty

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…

Abstract

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.

Details

Complexity in International Security
Type: Book
ISBN: 978-1-78973-716-5

Book part
Publication date: 24 July 2014

Anne Goulding and J. Graham Walton

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…

Abstract

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.

Article
Publication date: 21 December 2021

Laouni Djafri

This work can be used as a building block in other settings such as GPU, Map-Reduce, Spark or any other. Also, DDPML can be deployed on other distributed systems such as…

187

Abstract

Purpose

This work can be used as a building block in other settings such as GPU, Map-Reduce, Spark or any other. Also, DDPML can be deployed on other distributed systems such as P2P networks, clusters, clouds computing or other technologies.

Design/methodology/approach

In the age of Big Data, all companies want to benefit from large amounts of data. These data can help them understand their internal and external environment and anticipate associated phenomena, as the data turn into knowledge that can be used for prediction later. Thus, this knowledge becomes a great asset in companies' hands. This is precisely the objective of data mining. But with the production of a large amount of data and knowledge at a faster pace, the authors are now talking about Big Data mining. For this reason, the authors’ proposed works mainly aim at solving the problem of volume, veracity, validity and velocity when classifying Big Data using distributed and parallel processing techniques. So, the problem that the authors are raising in this work is how the authors can make machine learning algorithms work in a distributed and parallel way at the same time without losing the accuracy of classification results. To solve this problem, the authors propose a system called Dynamic Distributed and Parallel Machine Learning (DDPML) algorithms. To build it, the authors divided their work into two parts. In the first, the authors propose a distributed architecture that is controlled by Map-Reduce algorithm which in turn depends on random sampling technique. So, the distributed architecture that the authors designed is specially directed to handle big data processing that operates in a coherent and efficient manner with the sampling strategy proposed in this work. This architecture also helps the authors to actually verify the classification results obtained using the representative learning base (RLB). In the second part, the authors have extracted the representative learning base by sampling at two levels using the stratified random sampling method. This sampling method is also applied to extract the shared learning base (SLB) and the partial learning base for the first level (PLBL1) and the partial learning base for the second level (PLBL2). The experimental results show the efficiency of our solution that the authors provided without significant loss of the classification results. Thus, in practical terms, the system DDPML is generally dedicated to big data mining processing, and works effectively in distributed systems with a simple structure, such as client-server networks.

Findings

The authors got very satisfactory classification results.

Originality/value

DDPML system is specially designed to smoothly handle big data mining classification.

Details

Data Technologies and Applications, vol. 56 no. 4
Type: Research Article
ISSN: 2514-9288

Keywords

Article
Publication date: 20 January 2022

Hongjuan Tang, Qi Yao, Francis Boadu and Yu Xie

As an important driving factor of digital innovation, distributed innovation has received extensive attention from academia and business circles in recent years. However…

Abstract

Purpose

As an important driving factor of digital innovation, distributed innovation has received extensive attention from academia and business circles in recent years. However, extant works lack a discussion on the influence of distributed innovation on digital innovation performance. Drawing on the opportunity perspective, the study constructs a moderated mediating model to address how distributed innovation directly affects enterprises' digital innovation performance. Particularly, it investigates the moderating and mediating effects of IT-enabled capabilities and digital entrepreneurial opportunities on the above correlation.

Design/methodology/approach

With a survey data set of 399 Chinese science and technology enterprises, the study conducts hierarchical linear modeling (HLM) and bootstrap to test the study’s hypotheses.

Findings

Results demonstrate that (1) distributed innovation positively enhances enterprises' digital innovation performance; (2) digital entrepreneurial opportunities partially mediate the positive relationship between distributed innovation and digital innovation performance; (3) IT-enabled capabilities positively moderate the relationship between distributed innovation and digital entrepreneurial opportunities; (4) IT-enabled capabilities positively moderate the mediating role of digital entrepreneurial opportunities in the relationship between distributed innovation and digital innovation performance.

Originality/value

This is an empirical study on the impact mechanism of IT-enabled capabilities and digital entrepreneurial opportunities on the relationship between distributed innovation and digital innovation performance in China. It advances theories related to distributed innovation, digital innovation and digital entrepreneurial opportunities, and provides decision-making references for the enhancement of digital innovation capabilities of science and technology enterprises.

Details

European Journal of Innovation Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1460-1060

Keywords

Article
Publication date: 2 March 2021

Lei Mee Thien, Donnie Adams and Hai Ming Koh

This study aims to investigate the relationships between distributed leadership, teacher academic optimism and teacher organisational commitment with the contextual…

Abstract

Purpose

This study aims to investigate the relationships between distributed leadership, teacher academic optimism and teacher organisational commitment with the contextual influence of gender and teaching experience.

Design/methodology/approach

This study employed partial least squares structural equation modelling for data analysis. This study has selected 421 teachers from 18 secondary schools in Penang.

Findings

Distributed leadership has a positive direct effect on teacher academic optimism and organisational commitment. The relationship between distributed leadership and teacher academic optimism was stronger for male teachers and senior teachers who have more than ten years of teaching experience. However, gender and teaching experience have no significant moderating effects on the relationship between distributed leadership and teacher organisational commitment.

Research limitations/implications

The reason for the non-existent relationship between distributed leadership and teacher organisational commitment across gender and teaching experience remains unknown. In-depth investigation using interview method is required for further exploration.

Practical implications

This study complements and extends prior research on the relationships between distributed leadership, teacher organisational commitment and teacher academic optimism by providing evidence from Malaysia on how they contribute to the organisational conditions of their school.

Originality/value

This study has its originality in investigating the relationships between distributed leadership, teacher organisational commitment and academic optimism with the contextual influence of gender and teaching experience in the non-western society.

Details

International Journal of Educational Management, vol. 35 no. 4
Type: Research Article
ISSN: 0951-354X

Keywords

Article
Publication date: 11 November 2020

Sinda Ben Sedrine, Amel Sabra Bouderbala and Myryam Hamdi

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Originality/value

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.

Details

European Business Review, vol. 33 no. 4
Type: Research Article
ISSN: 0955-534X

Keywords

Article
Publication date: 1 July 2006

Nkgatho Sylvester Tlale

In this paper, two omni‐directional mobile vehicles are designed and controlled implementing distributed mechatronics controllers. Omni‐directionality is the ability of…

1525

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Originality/value

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

Details

Industrial Robot: An International Journal, vol. 33 no. 4
Type: Research Article
ISSN: 0143-991X

Keywords

Article
Publication date: 15 May 2019

Usha Manasi Mohapatra, Babita Majhi and Alok Kumar Jagadev

The purpose of this paper is to propose distributed learning-based three different metaheuristic algorithms for the identification of nonlinear systems. The proposed…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 12 no. 2
Type: Research Article
ISSN: 1756-378X

Keywords

1 – 10 of over 103000