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The purpose of this paper is to examine a collaborative non‐profit network which is undergoing organizational change.

The authors present a case study of an employment‐services network in its first year of change, as the network implemented various activities to enhance its performance. A grounded‐theory approach was adopted to study the organizational and collaborative processes within the member‐site and Head‐Office levels.

It was found that member‐site leadership was the critical factor influencing site culture and site performance, and that high‐performing sites were initiating collaborative activities with other sites. Head‐Office leadership also influenced site performance and collaboration, but its initiatives were only moderately successful. The findings also indicate that change efforts should focus on leadership at both the site and network levels, and may need to begin with low‐performing sites.

The paper discusses the implications of leadership on the implementation of collaborative networks in the employment services sector.

The qualitative findings of the study add to, and help to explain, earlier research findings on the questions of how public sector organizations utilize various activities to implement collaborative networks and their impact on managerial practice.

Partners' knowledge is an essential source of knowledge for organizations in the collaborative innovation. Exploratory innovation is an innovation strategy that is significant to the organization and is characterized by learning and absorbing new knowledge for new products and technology. The purpose of this study is to investigate the impact of partners' knowledge utilization on exploratory innovation and to analyze further the moderating effect of previous competitive and collaborative relationships between organizations on the above relationships.

In this study, the patent data of 1,636 organizations in the nano-biopharmaceutical field collaboratively from 1998 to 2020 are used as a sample. The knowledge networks and collaboration networks are constructed through the patent data. A negative binomial regression method is used to conduct the empirical study.

The results indicate that partners' knowledge utilization has an inverted U-shaped effect on exploratory innovation. The competitive relationship steepens the inverted U-shape effect of partners' knowledge utilization on exploratory innovation and makes the turning point to the left. The collaborative relationship steepens the inverted U-shape effect of partners' knowledge utilization on exploratory innovation and makes the turning point to the right.

This study is the first to examine the impact of partners' knowledge utilization on exploratory innovation and to explore the role of the competitive and collaborative relationships between organizations. It extends current research in organizational innovation and knowledge management by providing insight into partners' knowledge utilization.

The objective of this paper is to provide a metric that could be used to define success in a collaborative network.

The methodology of this research consists of four stages: Review, Constructing, Testing and Description. Review stage comprised of a critical review of the literature in order to understand the characteristics of collaborative network organisations and the reasons behind the successes and failures in collaborative networks. Construction stage resulted in development of a metric for collaborative networks. Testing stage tested the model through case study in a collaborative networks organisation. The outcome of the case study was discussed at the description stage to assess usability and usefulness of the metric for participants in turn to generate conclusions.

The result clearly demonstrated the need for measuring all perspectives of collaboration and highlights the potential pitfalls of measuring perspectives that can be measured easily.

The case study of the research is limited to a single collaborative network. The fact that this collaboration has been engaged for more than a year in order to develop a particular product with lack of mutual understanding represents the usual limitations of the new “organisation”. Further research is required with larger sample sizes and with longer time in collaboration to confirm and enhance the conclusions of this paper.

The model provides a practical way of assessing three networks' measurements with respect to their objectives. It also provides a useful mechanism for facilitating a discussion between partners in a network.

This paper contributes to the body of knowledge by developing a methodology for measuring partners' contribution, involvement and outcome in the collaborative network as a system within IDEF0 functional modelling. The contribution measurement uses analytical hierarchy process (AHP) approach to measure partners' contribution. Likert scale is also applied to measure the health of the relationships based on key performance indicators of relationship attributes. Analytical with mathematical approach is employed to measure the partners' outcome of the collaborative network

Through collective management at Cisco Systems in the United States, practitioners at all levels of management, rather than just a select few, overcame various contradictions through “strategic collaborations” across divisions within the company to respond to the challenge of new business innovation. Moreover, through skillful management of leadership at the formal organization layer, the informal organization layer, and the psychological boundary layer (the boundary layer between the two aforementioned layers), all practitioners of the company demonstrated holistic leadership, which enabled creative dialogue, cooperation, and understanding as well as rapid decision-making and action. Strategic collaboration based on holistic leadership enables outstanding ideas to be readily incorporated into the organization and to be examined and acted on by a single team. This chapter discusses processes whereby collective management based on Cisco System’s holistic leadership changed staff behavior and the corporate culture to achieve business innovation.

The objective of this paper is to provide a model that could be used to define success in a collaborative network by measuring: partners' contribution, partners' involvement (shown in the health of the relationship between partners), and partners' outcome.

The methodology of this research consists of three stages: review, constructing and testing. Review stage comprised of a critical review of the literature in order to understand the characteristics of collaborative network organisations and the reasons behind the failures in collaborative networks. Construction stage resulted in development of a conceptual metric for managing collaborative networks. Testing stage tested the model through case study in a collaborative networks organisation.

The model shows three kinds of measurements that might influence the success of collaborative networks. The contribution measurement uses Analytical Hierarchy Process approach to measure partners' contribution. Likert scale is also applied to measure the health of the relationships based on key performance indicators of relationship attributes. Analytical with mathematical approach is employed to measure the partners' outcome of the collaborative network.

The model is developed based on analytic strategy and need to be chained to present reality in a particular case(s). This paper presents application of the model into a single collaborative network. The fact that this collaboration has been engaged for more than a year in order to develop a particular product, but it was difficult to identify all outcomes precisely. Further research is required with larger sample sizes and with longer time in collaboration to confirm and enhance the conclusions of this paper.

The model provides a practical way of assessing three network's measurements with respect to their objectives. It also provides a useful mechanism for facilitating a discussion between partners in a network.

This paper contributes to the body of knowledge by developing a methodology for measuring partners' contribution, involvement and outcome in the collaborative network as a system within IDEF0 functional modelling. The paper presents a novel metric for measuring contribution, health and outcome of a collaborative network.

The purpose of this paper is to examine how a performance measurement system (PMS) can be designed for a collaborative network and to identify which factors affect such a design.

This is a single-case study of a collaborative network. The data have been collected from semi-structured interviews conducted during 2008-2009 and after the design process in 2010 and 2012, respectively.

The research results present a five-step process model for designing a PMS for a collaborative network. The findings show that a participatory development style that enhances socialisation, the positive development of a network culture and an outside facilitator all have beneficial effects on the design process.

The practical contribution of this study is related to knowledge about the PMS design process for a collaborative network to support its measurement-related development projects. This knowledge involves the phases of such a process as well as the various factors supporting or hindering it.

The study presents a PMS design process for the case network, which can be utilised in other collaborative networks in a similar context. It also highlights the most essential practical experiences related to this process.

This study aims to identify which actors play leadership and brokerage roles in voluntary environmental collaborations and how the corporate social responsibility (CSR) of actors is associated with such voluntary networking behaviours in Cambodia.

To achieve these purposes, this study mainly uses social network analysis to capture the properties of networking behaviours in the voluntary collaborative activities underlying three main environmental issues: waste disposal, energy and water pollution. The study focusses on the collaborative efforts undertaken by actors across multiple sectors: governmental organizations, for-profits and civil society organizations.

The results show that the government plays the leading role in voluntary environmental collaborations across environmental issues; however, the actual implementation is expanded to be undertaken by non-state actors. Moreover, CSR has positive associations with networking and brokerage roles; therefore, this study reveals the utility of various voluntary policy instruments.

This study demonstrates the role of governmental initiation and its influence on non-state actors, even for voluntary environmental tools. The CSR initiatives of private actors can also be supported and encouraged by the government, which will promote participation by private actors in voluntary collaborative networks and their leading role as network facilitators.

By understanding the positions and roles of each actor in the environmental collaborative networks, environmental policymakers can better understand the possibilities and the capabilities of each actor both to improve policy design and learning and to respond to policy changes effectively.

Voluntary collaboration and CSR are non-regulated policy tools; however, they can be promoted and introduced into society by governmental organizations, and they affect each other.

The purpose of this paper is to develop the concept of a high performance alliance macro-culture as a multilevel construct reflective of resilient collaborative systems of exchange within strategic alliances and explores the distinct capabilities of this multilevel approach in predicting alliance outcomes.

The hypotheses developed in this study are tested using primary data collected from 650 members of 15 non-profit organizations in two multi-organizational collaborative networks. Considering the multilevel nature of the study the structural hypotheses are tested using a multilevel confirmatory factor analysis and the predictive hypotheses are tested using multilevel structural equation modeling.

All but one structural hypothesis are supported and all predictive hypotheses are supported suggesting that a multilevel macro-cultural conceptualization is effective in exploring the relationship between collaborative exchange systems and their outcomes.

Limitations stem from the generalizability of the data collected as the alliances formed by non-profit firms may not be wholly reflective of the alliance structures and goals of other firm types.

This study primarily contributes to multilevel study of strategic alliances and the study of collaborative norms and structures of allied groupings. The results of this study lend support to the importance of taking a network governance perspective and illustrate the limitations of traditional single-level approaches when studying interfirm collaborative networks and structural resilience therein.

The purpose of this paper is to provide practical justification for performance measurement and management within a collaborative business network. The basic performance measurement indicators are elaborated within the scope of this research.

Performance measurement techniques are highlighted through the application of an ICT‐based solution approach, with special focus on business collaboration among small and medium sized enterprises (SMEs).

From the basic need to measure the performance of individual partners within a business network, this research proposes a generic framework and process flow with the objective of evaluating the individual partners in terms of various performance indicators such as key success factors (KSF), key performance factors (KPF) and key performance indicators (KPI). The outcomes from this framework or process flow will help partners in the network to build valuable trust, cooperation and coordination.

The focus of this paper is to demonstrate the methodological approach of measuring the performance through identifying and prioritizing the performance indicators (KSF, KPF, KPI) among collaborative partners and to highlight their importance for successful business operations.

With multiple-related organizations, worldwide infections, deep economic recession and public disorder, and large consumption amount of anti-epidemic resources, the coronavirus disease 2019 (COVID-19) has been defined as a public health emergency of international concern (PHEIC). Nowadays, Wuhan has recovered from the pandemic disaster and reentered normalization. The purposes of this study are to (1) summarize organization collaboration patterns, successful experience and latent defects under across-stage evolution of Wuhan's cooperation governance mode against the pandemic, and on the basis, (2) reveal how the COVID-19 development trends and organizations' collaborative behaviors affected each other.

Detailed content analysis of online news reports covering COVID-19 prevention and control measures on the website of Wuhan Municipal Government was adopted to identify organizations and their mutual collaborative interrelationships. Four complex network (CN) models of organization collaboration representing the outbreak, preliminary control, recession and normalization stages, respectively, were established then. Time-span-based dynamic parameter analyses of the proposed networks, comprising network cohesiveness analysis and node centrality analysis, were undertaken to indicate changes of global and local characteristics in networks.

First, the definite collaborative status of Wuhan Headquarters for Pandemic Prevention and Control (WHPPC) has persisted throughout the period. Medical institutions and some other administrations were the most crucial participants collaborating with the WHPPC. Construction-industry organizations altered pandemic development trends twice to make the situation controllable. Media, large-scale enterprises, etc. set about underscoring themselves contributions since the third stage. Grassroots cadres and healthcare force, small and medium-sized enterprises (SMEs), financial institutions, etc. were essential collaborated objects. Second, four evolution mechanisms of organization collaboration responding to the COVID-19 in Wuhan has been proposed.

First, universality of Wuhan-style governance experience may be affected. Second, the stage-dividing process may not be the most appropriate. Then, data source was single and link characteristics were not considered when modeling.

This study may offer beneficial action guidelines to governmental agencies, the society force, media, construction-industry organizations and the market in other countries or regions suffering from COVID-19. Other organizations involved could also learn from the concluded organizations' contributions and four evolution mechanisms to find improvement directions.

This study adds to the current theoretical knowledge body by verifying the feasibility and effectiveness of investigating cooperation governance in public emergencies from the perspectives of analyzing the across-stage organization collaboration CNs.