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This paper aims to assess the empirical utility and conceptual significance of distributed leadership.

Three main sources of evidence are drawn on. The paper reviews some neglected commentary of an early generation of distributed leadership theorists. It also discusses a strand of social science writings on emergent small number management formations. An alternative interpretation of the findings of three recent empirical studies of distributed leadership is provided. Some unresolved issues are considered.

Distributed leadership arose in reaction to understandings of leadership that emphasised heroic‐like individual behaviour. It has achieved a high level of theoretical and practical uptake. This paper, however, argues for reconsideration. Distributed leadership is shown to be largely unremarkable, especially in light of the continuity between current writings and those of early generation scholars. This claim is also reinforced by the inability of most current scholars to develop the emergent potential of a tradition of writings on the division of labour in small groups (emanating mainly from the work of Georg Simmel). Finally, the paper argues that a more appropriate descriptor for recent leadership analyses may be “hybrid”, rather than “distributed”.

Conceptually and empirically, there is still work to do. First, leadership's distributed status now aligns it with power and influence, each for some time recognised as distributed, although the preference for leadership as a vehicle of analysis ahead of power and influence still lacks sufficient justification. Second, while distributed leadership is sometimes thought of as synonymous with democratic organisational leadership, the latter is shown to be conceptually distinct.

With strategy-as-practice theory the authors explore successful business-owning families hand-over of roles to the next generation. The authors argue for the usefulness of strategy-as-practice theory in exploring the complexity and plurality of best practices in intergenerational hand-over. The paper aims to discuss these issues.

A cross-cultural in-depth case study with best practice cases from China, Germany, Sweden, England, Tanzania, Israel and the USA, based on in-depth interviews of family members and non-family employees.

The authors identified three different succession patterns: a “monolithic practice,” a distributed leadership hand-over, and active ownership with a non-family managing director/CEO. Two other types of hand-over practices were categorized as incubator patterns that formed a part of, or replaced, what we traditionally see as a hand-over of roles. Families would switch between these practices.

Surprisingly, a monolithic succession practice (a one-company-one-leadership role) was rarely used. Quantitative and qualitative research should consider, as should advisors to family owners and family businesses, the plurality of succession practices. Education should explore a variation of succession and how the dynamic of gender influences the process.

Giving practitioners, such as research and practitioner, an overview of strategic options so as to explore these in a client or research case.

Adding the notions that the family is an incubator for new entrepreneurship makes it possible to show how not only sector or public policy generate new ventures. That family as source of entrepreneurship has been well established in the field but it mainstream policy thinking the family is not seen as such a source.

The paper offers an integrative model of the complexity of hand-over practices of ownership and leadership roles. It shows how these practices are fundamental for understanding how a family’s ownership and their leadership of businesses and new entrepreneurship develops.

Notable energy losses and voltage deviation issues in low-voltage radial distribution systems are a major concern for power planners and utility companies because of the integration of electric vehicles (EVs). Electric vehicle charging stations (EVCSs) are the key components in the network where the EVs are equipped to energize their battery. The purpose of this paper is coordinating the EVCS and distributed generation (DG) so as to place them optimally using swarm-based elephant herding optimization techniques by considering energy losses, voltage sensitivity and branch current as key indices. The placement and sizing of the EVCS and DG were found in steps.

The IEEE 33-bus test feeder and 52-bus Indian practical radial networks were used as the test system for the network characteristic analysis. To enhance the system performance, the radial network is divided into zones for the placement of charging stations and dispersed generation units. Balanced coordination is discussed with three defined situations for the EVCS and DG.

The proposed analysis shows that DG collaboration with EVCS with suitable size and location in the network improves the performance in terms of stability and losses.

Stability and loss indices are handled with equal weight factor to find the best solution.

The proposed method is coordinating EVCS and DG in the existing system; the EV integration in the low-voltage side can be incorporated suitably. So, it has societal impact.

In this study, the proposed method shows improved results in terms EVCS and DG integration in the system with minimum losses and voltage sensitivity. The results have been compared with another population-based particle swarm optimization method (PSO). There is an improvement of 18% in terms of total power losses and 9% better result in minimum node voltage as compared to the PSO technique. Also, there is an enhancement of 33% in the defined voltage stability index which shows the proficiency of the proposed analysis.

To rigorously examine success and failure in the use of small scale technologies for rural electrification.

Semi‐structured primary field interviews plus secondary sources.

Business model differences and influence of institutions important are important for understanding success and failure in rural electrification and the contribution rural electrification can play in rural development.

Data on the entire universe of distributed electrification efforts are unavailable. This highlights the need for better documentation of energy activities in rural areas.

The development of new policies to guide rural electrification towards more sustainable and development enhancing outcomes.

Prior studies have taken an ad hoc approach to study previous projects and suffer from case selection bias since their scope is limited in geography (one country, region or even village), technology (only PV or only wind or only renewables), or end‐use (household electrification and productive uses). This study proposes a clear set of independent and dependent (as well as control) variables and looks across a range of cases to draw conclusions.

This paper aims to develop a service‐oriented distributed multi‐robot system based on manufacturing message specification (MMS) and new‐generation distributed object technology – web services for realizing remotely monitoring and controlling multiple heterogeneous robots in the internet environment.

The study presents robot communication model and distributed multi‐robot monitoring and control software structure based on MMS and web services. In particular, monitoring and control software design of MMS concepts in web services environment using Unified Modeling Language model is discussed in detail. In addition, to verify the validity of the proposed design method, a multi‐robot prototype system for robot flexible assemble cell has been achieved. Its Server software is implemented in C++ with Visual Studio.NET being the development environment and Client software is programmed in Java with Borland JBuilder 9 being the development tool.

Finds that the communication structure following MMS can make the multi‐robot monitoring and control system have perfect robustness, interoperability and reconfigurability. Besides, web services technology can conveniently realize MMS services, also can successfully resolve the remote multi‐robot monitoring and control problem among cross‐network, cross‐platform and heterogeneous systems.

Provides an easy and low‐cost method for realizing heterogeneous multi‐robot remote driving. The web‐based distribution of the presented system is critical in enabling capabilities such as e‐manufacturing, e‐diagnostics and e‐maintenance.

The proposed system can be seamlessly integrated into other automated manufacturing systems or management systems in plug‐and‐play fashion. The combination of MMS and web services is in favor of real manufacturing equipments being embedded in the network, so the presented systematic methodology can be a useful reference for constructing web‐based reconfigurable manufacturing systems.

Provides robot communication model based on MMS and web services and presents service‐oriented distributed remote multi‐robot monitoring and control software architecture.

The purpose of this paper is to highlight the opportunity for the energy policy in Brazil to tackle the very high cost-effectiveness potencial of solar energy to the power system. Three mechanisms to achieve ambitious reductions in the greenhouse gas emissions from the power sector by 2030 and 2040 are assessed wherein treated as solar targets under ambitious reductions in the greenhouse gas emissions from the power sector. Then, three mechanisms to achieve these selected solar targets are suggested.

This paper reviews current and future incentive mechanisms to promote solar energy. An integrated energy system optimization model shows the most cost-efficient deployment level. Incentive mechanisms can promote renewable sources, aiming to tackle climate change and ensuring energy security, while taking advantage of endogenous energy resources potential. Based on a literature review, as well as on the specific characteristics of the Brazilian power system, under restrictions for the expansion of hydroelectricity and ambitious limitation in the emissions of greenhouse gases from the power sector.

The potential unexploited of solar energy is huge but it needs the appropriate incentive mechanism to be deployed. These mechanisms would be more effective if they have a specific technological and temporal focus. The solar energy deployment in large scale is important to the mitigation of climate change.

The value of the research is twofold: estimations of the cost-effective potential of solar technologies, generated from an integrated optimization energy model, fully calibrated for the Brazilian power system, while tacking the increasing electricity demand, the expected reduction of greenhouse gas emissions and the need to increase the access to clean and affordable energy, up to 2040; proposals of three mechanisms to deploy centralized PV, distributed PV and solar thermal power, taking the best experiences in several countries and the recent Brazilian cases.

To utilize the idle computational resources in a network to collectively solve middle to large problems, this paper aims to propose an integrated distributed computing platform, Java distributed code generating and computing (JDGC).

The proposed JDGC is fully decentralized in that every participating host is identical in function. It allows standard, single machine‐oriented Java programs to be transparently executed in a distributed system. The code generator reduces the communication overhead between runtime objects based on a detailed analysis of the communication affinities between them.

The experimental results show that JDGC can efficiently reduce the execution time of applications by utilizing the networked computational resources.

JDGC releases the developers from any special programming considerations for distributed environment, and solves the portability problem of using system‐specific programming methods.

This paper aims to propose, the multi-objective method for optimal planning and operation of distributed generators (DGs) on distribution system (DS) using hybrid technique is proposed.

The proposed hybrid technique denotes hybrid wrapper of black widow optimization algorithm (BWOA) and bear smell search algorithm (BSSA). BWOA accelerates the convergence speed with combination of the search strategy of BSSA; hence, it is named as improved black widow-bear smell search algorithm (IBWBSA) technique.

The multiple-objective operation denotes reducing generation cost, power loss, voltage deviation with optimally planning and operating the DS. For setting up the DG units on DS, IBWBSA technique is equipped to simultaneously reconfigure and find the optimal areas.

In this planning model, the constraints are power balance, obvious power flow limit, bus voltage, distribution substation’s capacity and cost. Then, proposed multiple-objective hybrid method to plan electrical distribution scheme is executed in the MATLAB/Simulink work site.

The purpose of this paper is to optimally operate a Smart Microgrid which is interconnected to the main grid so as to minimize expenditures associated with CO₂ emissions. Microgrids could come into play to aid the network through CO₂ emission reduction while increasing their efficiency through local generation. For this purpose, a Smart Microgrid incorporating Distributed Energy Resources (DER), especially Renewable Energy Sources (RES), is operated optimally while keeping the CO₂ emissions in check in order to minimize the financial burden from emissions stemming from the carbon tax. Since the network is assumed to be interconnected with the main grid, there is a consideration of the expected emissions associated with the imported energy.

An economic/environmental dispatch problem is mathematically formulated using an objective function and the constraints that it is subject to. The methodology is applied on a typical 17-bus test distribution network, representing a Hellenic LV network. Various carbon tax rates and their impact on the system marginal price are examined, in terms of their effect on distributed generation (DG) and as a second step, the effect of imposing lower carbon tax rates for micro-sources with the goal of benefitting from their more eco-friendly generation capabilities. In order to assess that benefit, hourly grid emissions coefficients are derived based on actual grid data.

The CO₂ tax refund policy towards the DG owners can lead to optimal coverage of consumers, optimal financial result both for the DG owners and the operator and greater DG integration within the smart grid.

Greater DG integration within the smart grid by using a CO₂ tax refund policy.

This paper aims to identify the effects of client orientation on the business models of central power generation companies.

Five major Russian wholesale electricity market players have been selected for the analysis conducted by applying the “business model canvas”. To identify the changes induced by client orientation, the progress of companies’ business models has been traced over six years, from 2009 to 2015.

Five major trends in business model changes because of client orientation have been identified: declaration of the movement toward client orientation and adoption of client service standards; emergence of business diversification in favour of engineering, construction, service, operation and maintenance of power-generating facilities; increase in vertical integration; increase in the diversity of communication channels with consumers; and increase in the diversity of customer relationships. The results have been compared with those obtained from international studies. The conclusions about international and local characters of the trends are presented.

The study contributes to the knowledge of the current and upcoming changes in the business of central power generation companies triggered by the advent of electricity prosumers. The results are valuable for both management decision makers and theorists.