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This paper aims to solve the problems of the synchronization between branches and the uncertainties such as joint friction, load variation and external interference of a hybrid mechanism. The controller is used to improve the synchronization and robustness of the hybrid mechanism system and achieve both finite time convergence and chattering-free sliding mode.

First, the dynamic model of hybrid mechanism containing lumped uncertainties is formulated by the Lagrange method, and a composite error based on coupling synchronization error and the end-effector tracking error is set up in the task space. Then, by combining the finite time super twisting sliding mode control algorithm, a composite error-based finite time super twisting sliding mode synchronous control law is designed to make the end-effector tracking error and coupling synchronization error achieve better tracking performance and convergence performance. Finally, the Lyapunov stability of the control law and the finite-time convergence of the composite error are proved theoretically.

To verify the effectiveness of the proposed control method, simulations and experiments for the prototype system of the hybrid mechanism are conducted. The results show that the proposed control method can achieve better tracking performance and convergence performance.

This is a new innovation for a hybrid mechanism containing lumped uncertainties to improve the robustness, convergence performance, tracking performance and synchronization of the system.

The main goal of this paper is to study the cloud service discovery mechanisms. In this paper, the discovery mechanisms are ranked in three major classes: centralized, decentralized, and hybrid. Moreover, in this classification, the peer-to-peer (P2P) and agent-based mechanisms are considered the parts of the decentralized mechanism. This paper investigates the main improvements in these three main categories and outlines new challenges. Moreover, the other goals are analyzing the current challenges in a range of problem areas related to cloud discovery mechanisms and summarizing the discussed service discovery techniques.

Systematic literature review (SLR) is utilized to detect, evaluate and combine findings from related investigations. The SLR consists of two key stages in this paper: question formalization and article selection processes. The latter includes three steps: automated search, article selection and analysis of publication. These investigations solved one or more service discovery research issues and performed a general study of an experimental examination on cloud service discovery challenges.

In this paper, a parametric comparison of the discovery methods is suggested. It also demonstrates future directions and research opportunities for cloud service discovery. This survey will help researchers understand the advances made in cloud service discovery directly. Furthermore, the performed evaluations have shown that some criteria such as security, robustness and reliability attained low attention in the previous studies. The results also showed that the number of cloud service discovery–related articles rose significantly in 2020.

This research aimed to be comprehensive, but there were some constraints. The limitations that the authors have faced in this article are divided into three parts. Articles in which service discovery was not the primary purpose and their title did not include the related terms to cloud service discovery were also removed. Also, non-English articles and conference papers have not been reviewed. Besides, the local articles have not been considered.

One of the most critical cloud computing topics is finding appropriate services depending on consumer demand in real-world scenarios. Effective discovery, finding and selection of relevant services are necessary to gain the best efficiency. Practitioners can thus readily understand various perspectives relevant to cloud service discovery mechanisms. This paper's findings will also benefit academicians and provide insights into future study areas in this field. Besides, the drawbacks and benefits of the analyzed mechanisms have been analyzed, which causes the development of more efficient and practical mechanisms for service discovery in cloud environments in the future.

This survey will assist academics and practical professionals directly in their understanding of developments in service discovery mechanisms. It is a unique paper investigating the current and important cloud discovery methods based on a logical categorization to the best of the authors’ knowledge.

The purpose of this paper is to locate, describe and analyze the differences between the way migrants from communal cultures and local communities in Western Europe resolve intra-communal and inter-communal conflicts, and to use the findings to propose a hybrid alternative model that may be able to bridge across identified differences. Such a hybrid model will facilitate enhanced integration and adaptation between host and migrant communities, contributing to improved conflict resolution outcomes.

This paper starts with an exploration, review and analysis of existing relevant literature describing refugee/migrant–host community interactions and their consequences. The second stage includes review and analysis of relevant alternative dispute resolution (ADR) literature. The third stage undertakes an examination and analysis of the practices identified in stage two, and the fourth stage proposes a method that uses potentially “bridging” practices by incorporating useful and relevant elements from host and refugee communities’ ADR mechanisms, in a way that may help resolve inter-communal disputes.

The paper demonstrates significant differences between host and migrant communities’ dispute resolution practices and the integrability of relevant ADR approaches toward creating a usable, hybrid, bridging approach to handle inter-communal conflicts.

The paper proposes a hybrid “bridging” host–refugee inter-communal conflict management model. The proposed model should be tested to prove feasibility and viability.

Should the proposed model prove useful, the practical implications may lead to the construction and use of different (hybrid) conflict management mechanisms in appropriate communities. Such mechanisms may lead to a reduction in the number and severity of inter-communal conflicts.

A reduction in inter-communal conflicts within the framework of a host–migrant interface may have strong positive outcome to inter (and intra) communal relations and may reduce friction, crime, marginalization, hostility and radicalization.

The paper highlights the challenges to both migrant and host communities when it comes to finding a common ground for resolving inter-communal disputes and offers a pragmatic hybrid model to bridge cultural and functional gaps and help promote mutually satisfactory outcomes.

The purpose of this paper is to examine the ways in which scholars have proposed organizational forms combining elements of markets and hierarchies. These hybrid forms are based on networked connections and bottom‐up entrepreneurship, fostering knowledge sharing among semi‐independent units. Despite their suitability to knowledge‐intensive companies, scholars are divided on their views on governance in internal hybrids. While knowledge management scholars emphasize soft community‐like dimensions, organizational economists seek to reduce opportunism through hard hierarchical governance. Because these views act as complementaries, this paper synthesizes them to present organizational governance in internal hybrids.

A case study with 56 interviews describes the functioning of soft and hard governance mechanisms in the Japanese company Maekawa Manufacturing Ltd.

The case study indicates that soft and hard governance mechanisms work in complementary ways in a successfully implemented internal hybrid.

Internal hybrids tend to function most efficiently with a mix of soft knowledge management practices and hard control devices.

Instead of taking an “either/or” perspective, this paper seeks to synthesize contrasting views of knowledge management and organizational economics.

Compliant mechanism has been receiving a great interest in precision engineering. However, analytical methods involving their behavior analysis is still a challenge because there are unclear kinematic behaviors. Especially, design optimization for compliant mechanisms becomes an important task when the problem is more and more complex. Therefore, the purpose of this study is to design a new hybrid computational method. The hybridized method is an integration of statistics, numerical method, computational intelligence and optimization.

A tensural bistable compliant mechanism is used to clarify the efficiency of the developed method. A pseudo model of the mechanism is designed and simulations are planned to retrieve the data sets. Main contributions of design variables are analyzed by analysis of variance to initialize several new populations. Next, objective functions are transformed into the desirability, which are inputs of the fuzzy inference system (FIS). The FIS modeling is aimed to initialize a single-combined objective function (SCOF). Subsequently, adaptive neuro-fuzzy inference system is developed to modeling a relation of the main geometrical parameters and the SCOF. Finally, the SCOF is maximized by lightning attachment procedure optimization algorithm to yield a global optimality.

The results prove that the present method is better than a combination of fuzzy logic and Taguchi. The present method is also superior to other algorithms by conducting non-parameter tests. The proposed computational method is a usefully systematic method that can be applied to compliant mechanisms with complex structures and multiple-constrained optimization problems.

The novelty of this work is to make a new approach by combining statistical techniques, numerical method, computational intelligence and metaheuristic algorithm. The feasibility of the method is capable of solving a multi-objective optimization problem for compliant mechanisms with nonlinear complexity.

The antecedents and cost management methods and their effects on the value creation of inter-organization are essential topics of inter-organizational cost management (IOCM) in a hybrid relational perspective. This study aims to develop a synthesis coordinating mechanism theory which combines supply network theory and transaction cost economics. Using this modified theory, a structural model of IOCM and its hypotheses are developed by considering the organic connection among hybrid relational context, capabilities, methods and the effects of IOCM.

The data were collected under convenient sampling using the questionnaire survey method and analyzed using principal component analysis and structural equation modeling.

The results (significant at p < 0.01 and p < 0.05 level) show that there is a positive correlation among the hybrid relational context, capabilities (antecedents), methods and the effects of IOCM. Capabilities (antecedents) and cost management methods are also found to have a positive impact on synergic effect value and on improving collaborative efficiency in IOCM.

The managers of inter-firm networks may use the results of this study to ensure competitive advantages through collaboration with each other and building and retaining a long-term relationship.

This study demonstrates that the coordinating mechanism of IOCM can create the synergic effect value and improve the collaborative efficiency of the inter-organization relationship.

The purpose of this research is to seek to address the way in which knowledge is being transmitted among the members of a large corporation and suggests a realistic strategy that promises to be most appropriate for effective knowledge transfer in the new knowledge economy.

The research involves an in‐depth case study of knowledge transfer strategies used in a UK‐based group within a high‐tech global corporation. which was purposively selected for data collection. A semi‐structured instrument was developed based on the review of the knowledge management literature. The data analysis procedure within the case study employed in this research was based on the approach proposed by Miles and Huberman.

Drawing on an empirical work in a large high‐tech corporation, this paper suggests a hybrid strategy which recognises the interplay between the soft and hard mechanisms, and falls somewhere between the rather divergent mechanisms.

Since the paper is based on a single research setting the findings have potential limitations in terms of generalisability and transferability.

To date it seems that the soft and hard mechanisms are being employed for knowledge transfer. There is considerable variation in the researchers' views about the role of the two approaches to knowledge transfer in an organisation.

The proposed hybrid approach to knowledge transfer provides powerful arguments for a more holistic view in terms of knowledge transfer which is crucial for the succesful implementation of knowledge management.

The authors explore the impact of an emerging technology, blockchain technology, on diverse governance mechanisms and sustainable supply chain practices and how its relationships with the linkage of these elements.

The methodology incorporates a literature review and a qualitative empirical analysis of the Electronic Product Environmental Assessment Tool (EPEAT) standards. Expert opinions from various firms and organizations within the electronics sector are assessed. Through a thematic analysis, the relationships are identified and examined.

Data immutability, transparency and traceability capabilities of blockchain technology enhance the relationship between environmental standards and ecological supply chain sustainability practices. Although immature, the blockchain can influence the governance of supply chain sustainability practices. Immaturity of technology, lack of expertise, sharing information and trust have delayed adoption.

There is limited empirical evidence regarding blockchain's impact on governance mechanisms, specifically hybrid public-private mechanisms and sustainable supply chain practices. The study further evaluates how particular blockchain features may exert varying influences on these aspects and different sustainable supply chain traits. As an exploratory study, it proposes new areas for further research, including how blockchain's traceability function can improve sustainability standard adoption. Additionally, there is a call for integrating blockchain with technologies like IoT and sensors which may influence supply chain governance mechanisms, standards and sustainability practices.

As the core technology of blockchain, various consensus mechanisms have emerged to satisfy the demands of different application scenarios. Since determining the security, scalability and other related performance of the blockchain, how to reach consensus efficiently of consensus mechanism is a critical issue in the blockchain.

The paper opted for a research overview on the blockchain consensus mechanism, including the consensus mechanisms' consensus progress, classification and comparison, which are complemented by documentary analysis.

This survey analyzes solutions for the improvement of consensus mechanisms in blockchain that have been proposed during the last few years and suggests future research directions around consensus mechanisms. First, the authors outline the consensus processes, the advantages and disadvantages of the mainstream consensus mechanisms. Additionally, the consensus mechanisms are subdivided into four types according to their characteristics. Then, the consensus mechanisms are compared and analyzed based on four evaluation criteria. Finally, the authors summarize the representative progress of consensus mechanisms and provide some suggestions on the design of consensus mechanisms to make further advances in this field.

This paper summarizes the future research development of the consensus mechanisms.

Today, the global education market is one of the faster growing sectors, and it has attracted several new actors or what we call educational brokers who are now responsible for shaping national agendas. The newer actors in education are vastly different for the former players in that whereas previous actors engrossed national educational systems through the provision of technical assistance to meet international standards, best practices, and benchmarks, these newer players are for-profit entities that emphasize austerity, leanness, human resource maximization, performance targets, and competition. Therefore, in this new educational landscape, national governments are seen as “clients” who receive “expert” advice from “external consultants” that have an assortment of experiences across different sectors. Education governance is no longer a statist endowed but one that incubates in laborites of best practices resonates with existing case studies and results driven based on Big Date collected. We argue that educational brokers are responsible for the emergence of a hybrid form of education governance that use business and market techniques to reform strategies within the education sector. We conclude by suggesting that collectively educational brokers are using what we call “educational sub-prime mechanisms” – higher interest rates, reduced quality collateral, and less advantageous terms to counterweight higher credit risk – to manage educational portfolios and newer forms of educational risk.