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In this study the authors seek to discuss and empirically analyze coordination mechanisms in innovation‐generating business networks. Their aim is to explore how these coordination mechanisms, as well as the roles of actors, evolve during the development of such networks.

The paper analyses an in‐depth single case study on the development of Finnish Mobile TV in an innovation‐generating business network comprising a heterogeneous range of actors.

The findings suggest that coordination of innovation‐generating business networks combines “management” and “orchestration”, both of which have their distinct roles throughout the development of the network. The latter is used throughout the case in question to communicate vision and build social capital, and the former to coordinate phases closer to commercialization.

The study provides novel evidence in explicating how network coordination mechanisms of management and orchestration change as the innovation‐generating business network evolves. However, there is a need to examine the issue further from different methodological standpoints in order to improve the generalizability of the results.

Managers will be able to use the lessons learned in designing different coordination mechanisms to ensure that the network evolves in the desired direction, and in considering the role of their companies in this development.

The paper enhances understanding of how coordination mechanisms evolve in different phases of innovation‐generating business networks.

The purpose of this paper is to introduce a novel approach to studying disaster management operations: the emergence of coordination-clusters in long-term rehabilitation projects and innovation dynamics in coordination-clusters.

The problem addressed is examining the coordination dynamics in long-term rehabilitation operations. A mixed methods research approach was adopted where a combination of qualitative and quantitative techniques was used for data collection and analysis to study the phenomenon of the coordination evolution in long-term rehabilitation projects.

The results indicate resilience in the behavior of involved actors from different organizations as they re-organize into coordination-clusters and collectively work to overcome the unfolding challenges of long-term rehabilitation projects in areas affected by major disaster.

The results provide some answers to the question of how to map and analyze the phenomenon of coordination-clusters and their consequent coordination dynamics, and thereby steps to redesign the approach to execute long-term rehabilitation projects in places affected by major disasters.

The combination of Actor-network theory and critical incident technique with social network analysis and community detection provides an integrated network-based view of coordination dynamics in long-term recovery operations. Such perspective would broaden the empirical basis for the planning and management of complex disaster management operations.

The results of the research offer a new approach to study coordination dynamics in disaster management operations. The proposed method provides a tool to examine the evolution of processes involved with the recovery phase of a disaster management cycle.

Effectively managing an intermodal logistics network has become a significant strategic consideration in international logistics. This study aims to empirically examine the way in which intermodal logistics network coordination can be successfully developed and sustained, and to analyze whether the highly coordinated intermodal logistics network may facilitate the greater logistics performance of network players as well as of the entire intermodal logistic network system. This study adopts social network embeddedness perspective to examine the determinants facilitating the higher level of coordination of the intermodal logistics network. An explorative interview method is being employed for the empirical analysis, and the results show that strong, dense and bridging ties within the network mechanisms facilitate a greater intermodal logistics network coordination. As a result, this helps to enhance the logistics performance of the intermodal logistics network system and its players by facilitating the enhancement of logistics services effectiveness and operational efficiency.

The purpose of this paper is to identify how coordination has evolved in humanitarian logistics (HL), what were the triggers for change and how have they been facilitated.

This paper applies a systematic literature review of academic journals.

This is the first paper to discuss the concepts of network orchestration and choreography in a humanitarian context. The research revealed that network coordination has moved on in the commercial sector to include orchestration and now, choreography concepts which have not been tested in HL literature. This reveals a lag exists between HL research and practice.

This paper represents an exploratory study and provides the basis for further research on the concepts of orchestration and choreography in HL. The paper sets a research agenda for academics.

This paper is the first to discuss the concepts of network orchestration and choreography in a humanitarian context.

The areas of orchestration and choreography have received limited consideration within the humanitarian aid logistics literature to date. This paper is designed to redress this shortfall. As a result, it is hoped that it will act as a catalyst for further research and to widen and deepen the resultant debate with a view to improving the outcome for those affected by current and future disasters.

The coordination of a manufacturing network is a challenging task and may be contingent upon the manufacturing environment. The purpose of this paper is to analyse how industrial Internet of Things (IIoT) and manufacturing network coordination relate.

Based on a single case study, the paper at hand provides insights on IIoT enablers and the relationship to manufacturing coordination mechanism. The data sample is based on 15 group interviews with overall eight employees from headquarters and business units.

The derived results show that the IIoT enablers (digital technologies, connectivity, data, capabilities and management) are highly related to the manufacturing network coordination mechanism. The results indicate that IIoT initiatives and manufacturing network coordination should be designed to support each other.

The implementation if IIoT initiatives is often analysed in isolation without considering the manufacturing network and more specifically the manufacturing network coordination mechanism. The results highlight how the implementation of IIoT initiatives may act as trigger to adapt formal manufacturing network coordination mechanism.

Innovation ecosystems can emerge and grow organically, but the process can also be managed through conscious intervention. Therefore, this study observes different motivations and expectations for each group of actors. The lack of alignment between actors could have a negative influence on the development of innovation ecosystems. This study aims to analyze the coordination strategies of the actors throughout the life cycle of innovation ecosystems.

This study develops and proposes a model for coordinating innovation ecosystems based on the theoretical backgrounds of the ecosystem life cycle and ecosystem coordination.

This study argues that each stage of an innovation ecosystem’s life cycle – inception, launching, growth and maturity – demands different coordination strategies. Initially, networks are simpler and thus the coordination issues are less difficult. However, as the ecosystem evolves and the complexity of the networks increases, a more sophisticated strategy, such as orchestration or choreography, is needed.

This is a theoretical study that recommends further research to test this model.

The understanding of coordination and stages of the life cycle of an innovation ecosystem can guide actors in the design of strategies for developing of ecosystems.

The proposed framework could support strategies to engage civil society in actions to develop innovation ecosystems.

This study presents a framework to understand the coordination strategies better, considering the stages of an innovation ecosystem’s life cycle.

To coordinate humanitarian organisations with different mandates that flock the scenes of disasters to save lives and respond to varied needs arising from the increased number of victims is not easy. Therefore, the level at which organisations self-organise, network and adapt to the dynamic operational environment may be related to inter-organisational coordination. The authors studied self-organisation, organisational networks and adaptability as important and often overlooked organisational factors hypothesised to be related to inter-organisational coordination in the context of humanitarian organisations.

The study’s sample consisted of 101 humanitarian organisations with 315 respondents. To decrease the problem of common method variance, the authors split the samples within each humanitarian organisation into two subsamples: one subsample was used for the measurement of self-organisation, organisational network and adaptability, while the other was for the measurement of inter-organisational coordination.

The partial least square structural equation modelling (PLS-SEM) analysis using SmartPLS 3.2.8 indicated that self-organisation is related to inter-organisational coordination. Organisational network and adaptability were found to be mediators for the relationship between self-organisation and inter-organisational coordination and all combined accounted for 57.8% variance in inter-organisational coordination.

The study was cross sectional, hence imposing a limitation on changes in perceptions over time. Perhaps, a longitudinal study in future is desirable. Data were collected only from humanitarian organisations that had delivered relief to refugees in the stated camps by 2018. Above all, this study considered self-organisation, adaptability and organisational networks in the explanation of inter-organisational coordination, although there are other factors that could still be explored.

A potential implication is that humanitarian organisations which need to coordinate with others in emergency situations may need to examine their ability to self-organise, network and adapt.

Social transformation is a function of active social entities that cannot work in isolation. Hence, for each to be able to make a contribution to meaningful social change, there is need to develop organisational networks with sister organisations so as to secure rare resources that facilitate change efforts coupled with the ability to reorganise themselves and adapt to changing environmental circumstances.

The paper examines (1) the extent to which self-organisation, adaptability and organisational networks influence inter-organisational coordination; (2) the mediating role of both adaptability and organisational networks between self-organisation and inter-organisational coordination in the context of humanitarian organisations against the backdrop of complex adaptive system (CAS) theory.

The purpose of this paper is to provide a conceptual foundation and empirical basis for exploring issues related to the design framework for modeling coordination in complex and dynamic enqvironments.

Previous research suggests that interactions among actors in a complex and dynamic environment tend to be more elastic, offering a higher degree of adaptability. Actions of actors in such an environment need to be coordinated to achieve the desired goal. With that purpose, the authors suggest a social network‐based (SN‐based) framework to model coordination in complex and dynamic environments.

The authors successfully applied the proposed SN‐based framework to model coordination in the context of soft‐target organization and emergency response preparedness.

It is apparent that much work has been done in existing studies on modeling coordination considering the specific domain situation in a complex and dynamic environment. In this paper, the authors propose a unique framework to model coordination in a complex and dynamic environment.

In recent decades, R&D networks have proliferated amongst members of universities, businesses, research organisations and government. Despite increases in the complexity and prominence of these networks, empirical studies investigating their performance are still sparse. The purpose of this paper is to fill this gap by investigating the impact of trust and commitment on network harmony and coordination.

The study applies confirmatory factor analysis, using structural equation modelling, to ascertain the impact of trust and commitment on harmony and coordination within networks. It is based on responses of 124 participants from an Australian biotechnology and nanotechnology network.

The study reveals that trust has significant impacts on both network coordination and harmony.

The paper provides managerial implications for organisations involved in innovation networks which can be used to inform the design and coordination of inter‐organisational innovation initiatives across sectors.

The paper is original as it provides a network perspective, as responses include a variety of perspectives from universities, businesses, research organisations and government. Consequently, it serves as a first step towards validating constructs from a network perspective that were previously validated only from organisational or dyadic perspectives.

This paper aims to examine a large-scale typhoon response coordination, focusing on the emergency collaborative network (ECN) configuration and structural properties that characterized the 2018 Typhoon Mangkhut response operations in Shenzhen, China.

The response coordination of Typhoon Mangkhut was operationalized as a Shenzhen-based ECN established upon a six-week observation. A systematic content analysis of publicly available government documents and newspaper articles was conducted to identify participating organizations and interorganizational relationships built and sustained during and immediately after the disaster. Social network metrics at levels of the node, subgroup of nodes and whole network were utilized to examine network capacity, network homophily and network performance, respectively.

Results of the centrality analysis demonstrate that government agencies at municipal and district/county levels took central network positions while private and non-profit organizations were mostly positioned at the network periphery. The blocking analysis points to a salient homophily effect that participating organizations sharing similar attributes were more likely to connect with each other. A further investigation of whole network metrics and the small-world index reveals the highly fragmented and discontinued features of ECN, which may result in unsystematic coordination among organizational actors.

This paper is distinctive in examining the coordination structure among response organizations embedded in a centralized and monocentric governance system and, more importantly, how the structural characteristics can differ from that evidenced in a more decentralized and polycentric system.