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Firms increasingly face competitive pressures related to rapid and continuous adaptation to a complex, dynamic, and highly interconnected global environment. Pressing challenges include keeping pace with shorter product life cycles, incorporating multiple technologies into the design of new products, cocreating products and services with customers and partners, and leveraging the growth of scientific and technical knowledge in many sectors. In response, we observe experimentation with new organization designs that are fundamentally different from existing forms of organizing. We propose that these new designs are based on an actor-oriented architectural scheme composed of three main elements: (1) actors who have the capabilities and values to s elf-organize; (2) commons where the actors accumulate and share resources; and (3) protocols, processes, and infrastructures that enable multi-actor collaboration. We demonstrate the usefulness of the actor-oriented scheme by applying it to organizations drawn from four different sectors: global professional services, open source software development, computer equipment, and national defense. We discuss the implications of the actor-oriented architectural scheme for future research on organizational forms as well as for managers who are involved in designing organizations.

Multiple active partnerships in the health and water sectors in Cambodia exist to address climate change adaptation, operating beyond typical sectoral and organizational divides. Decisions around national adaptation policy are made predominantly by the relevant lead ministry, contrasting with where funding originates from (i.e., major donors, multilaterals, United Nation agencies). Adaptation policy is thus the result of a process of coproduction by state and nonstate actors. The research we present sought to understand the relationships that exist between knowledge- and decision-makers with respect to climate change adaptation in the health and water sectors in Cambodia, and the factors that enabled or constrained these relationships. Forty-four interviews were conducted with representatives of 32 organizations. We found that coproductive relationships were most effective when there were clearly defined roles and responsibilities, coordination of technical and financial resources, and trust. The two key factors of coproductive capacity that enabled and supported these partnerships were scientific resources and governance capability. Ultimately, the roles and responsibilities given to various actors requires commensurate funding and greater consideration of existing relationships and power dynamics. The reliance on international scientific expertise also needs to be challenged so that local research capabilities can be developed and locally relevant, problem-specific information can be provided. The ongoing funding, codevelopment, and sharing of such knowledge would significantly enhance trust and cooperation.

To enable remote collaboration among knowledge workers, there has been extensive research about prototyping network-based multiparty collaboration environments. Particularly, it is necessary to solve the configuration difficulties that arise from different settings of various tools in traditional room-based collaboration systems. To ease these difficulties, in this paper, we design a service composition oriented framework for the SMeet (Smart Meeting Space) multiparty collaboration environments by following the SOA (service oriented architecture) design principles. The proposed framework aims to facilitate the flexible configuration of diverse networked devices and associated application tools for successful multiparty collaboration. According to a pre-defined template, it helps the operators and users to compose services that are dispersed across remote sites. By leveraging open-source agent middleware, we also develop a SMeet toolkit with GUIs (graphical user interfaces) to assist the easily-configurable realization of SMeet multiparty collaboration environments. The developed SMeet toolkit is utilized to realize a remote collaboration scenario between two SMeet prototype sites, by enabling the network-based interactive sharing of HD-quality media on networked tiled displays (NeTDs).

A handbook on interpersonal mediation has in our view to include a social psychological perspective. Mediating is a social process that takes place between minimally three individuals, two of whom being involved in a conflict, a third acting as a mediator. In chapter 2, Herrman, Hollett, and Gale informed us that complex mediation processes, i.e. those involving conflict between large groups or organizations, are not dealt with in the proposed model and literature review. Although it is understandable and justifiable to reduce complexity, we will argue in this chapter that such reduction should not imply that the social identities of the persons in question are ignored. Based on our work on multiparty collaboration, as researchers, consultants, and trainers, we “reframe” the domain of mediation by: (a) pointing to the role of social identities and social contexts in interpersonal and intergroup interactions; (b) exploring the complex interplay of conflict, collaboration, and collusion; and (c) enriching the concept of mediating by relating it to the way multiparty interactions can be facilitated successfully.

The majority of today's Internet applications relies on point-to-point communication. In recent years, however, multipoint communication support has become the foundation for such applications as multiparty video conferencing, distributed interactive simulations, and collaborative systems. We describe a novel protocol to coordinate multipoint groupwork within the IP-multicast framework. The protocol supports Internet-wide coordination for large and highly-interactive groupwork, relying on the dissemination of coordination directives among group members across a shared end-to-end multicast tree. We also describe how addressing extensions to IP multicast can be used for our multisite coordination mechanism.

Purpose This paper aims to report the development of the multiparty collaborative leadership scale (MCLS) that assesses four dimensions of collaborative leadership that have been defined in the literature regarding the functions of collaborative leadership in intra- and interorganizational settings. Design/methodology/approach The authors have tested the validity and reliability of the MCLS in a sample of 110 managers and professionals who participated in five multiparty collaboration workshops, each lasting for two days. The authors used multilevel analyses to test the construct, discriminant and predictive validity of the MCLS. Findings The results generally supported the reliability and validity of the MCLS. The scale has good internal consistency and in terms of validation, the authors show that MCLS negatively predicts the conflictuality and positively predicts the collaborativeness of the leading party as well as trust in the multiparty system and its entitativity. Research limitations/implications The MCLS can be used to extend literature on collaborative leadership and generate insights on the antecedents and consequences of effective collaborative leadership in multiparty systems. Social implications Multiparty systems are set to deal with important societal challenges and mediators involved in multiparty issues are asked to settle important international disputes and conflicts. Understanding collaborative leadership in such systems and its role in establishing effective multiparty collaboration is key. The MCLS can be used as a research instrument and as a development tool toward realizing much-needed collaboration. Originality/value The authors present a first attempt to develop a short scale to assess collaborative leadership in complex systems in which participating stakeholders lack position power.

Many organizations are producing or collecting private data in fields such as medical research and government regulation. Due to current privacy protection, laws and regulations, commercial competition, and other issues, these institutions cannot directly share their data. Collaborative analysis of private data from multiple institutions will benefit each institution and create profits together. Therefore, we propose a Yannakakis-based multiparty outsourcing collaboration analysis scheme. It enables organizations to collaboratively analyze private data from multiple organizations according to their needs while ensuring that private data are not leaked to each other. Our scheme is based on the improved Yannakakis algorithm to build a series of query components, such as Semi-join, Join, Order-by, etc. We also optimized the join operation. By confusing the input tuples and protecting their authenticity through annotations, the join operation can be directly joined through the hash value without disclosing the join results. Through this series of configurations, we can execute a query with O(IN+OUT) runtime and communication, where IN is the total number of tuples in the input relationship, and OUT is the output size. We have carried out a series of comparative experiments, and the results show that our system is 1.3X–7.4X faster than the baseline.

Purpose This study aims to investigate the role of minority dissent (MD) as an antecedent for task (TC) and relationship conflict (RC) in groups engaged in multiparty collaboration. The authors hypothesized that MD triggers both TC and RC and that the association between MD and RC is mediated by TC. Moreover, the authors hypothesized that the positive association between MD and RC is attenuated by social acceptance, while the positive association between TC and RC is attenuated by trust. Design/methodology/approach The authors have tested the hypotheses in 36 groups comprising in total 145 professionals that attended a two-day workshop on working across organizational boundaries and who filled in three surveys during a multiparty simulation. The authors used multilevel mediation analyses to test the hypotheses. Findings The results generally supported the role of MD as an antecedent for both TC and RC as well as the mediating role of TC in the relationship between MD and RC. The attenuating role of social acceptance in the relationship between MD and RC was fully supported, while the attenuating role of trust in the relationship between TC and RC was not supported. Research limitations/implications This study is based on a rather small sample and used a cross-lagged data collection design, and no causal claims can be derived from the findings. Behavioral multiparty simulations create a realistic context in which the authors investigate the dynamics of conflict transformation and explore the interplay of MD, TC and RC. Social implications As nowadays, multiparty systems are engaged in dealing with important societal challenges and because RC is detrimental for collaborative effectiveness, the results have important implications for facilitating effective collaboration in such complex systems. Originality/value This study makes an important contribution to the literature on conflict in multiparty systems by showing that as an antecedent of intragroup conflict, MD can have both a beneficial as well as a detrimental impact on the conflict dynamics of multiparty systems. It points out the importance of social acceptance as a buffer against the detrimental role of MD.

With the rapid development of the automotive industry, research on the internet of vehicles (IoV) has become a hot topic in the field of automobiles. Considering the privacy of data collected from vehicles, this paper proposes a novel multiparty homomorphic encryption scheme (MHE) for secure multiparty computation without the need for a trusted third party. The scheme ensures efficient computation of data while preserving the privacy of each party’s data. It consists of four phases: construction, computation, recombination, and refreshing. In the recombination phase, the key is reconstructed using a span program, enabling secure computation among participating parties under a semi-honest model. Finally, we compare the proposed scheme with mainstream approaches and conduct experiments within the framework of federated learning. Through both experimental and theoretical analyses, the performance of the proposed scheme is comprehensively evaluated, demonstrating its efficiency and correctness.

Collaborative and community-based monitoring are becoming more frequent, yet few studies have examined the process and outcomes of these monitoring approaches. We studied 18 collaborative or community-based ecological assessment or monitoring projects undertaken by five community-based forestry organizations (CBFs), to investigate the objectives, process, and outcomes of collaborative ecological monitoring by CBF organizations. We found that collaborative monitoring can lead to shared ecological understanding among diverse participants, build trust internally and credibility externally, foster social learning and community-building, and advance adaptive management. The CBFs experienced challenges in recruiting and sustaining community participation in monitoring, building needed technical capacity for monitoring, and communicating monitoring results back to the broader community. Our results suggest that involving diverse and sometimes adversarial interests at key points in the monitoring process can help resolve conflicts and advance social learning, while also strengthening the link between social and ecological systems by improving the information base for management and increasing collective awareness of the interdependence of human and natural forest communities.