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The closure of Fagor Electrodomésticos in October 2013, the most iconic cooperative in the Mondragon Group, not only cast doubt on the economic and social management of the cooperative itself but also called into question the very viability of the overall cooperative model. In addition to describing the evolution of this cooperative in its last years in business, this chapter offers a comprehensive review of the mechanisms of inter-cooperation in the Mondragon Group and the way in which they were applied in the crisis at Fagor Electrodomésticos.

The methodology applied is a qualitative research methodology mainly based on semi-structured interviews.

The main conclusion of the chapter is that the closure of the cooperative was largely caused by market conditions. The chapter also highlights the validity of the mechanisms of inter-cooperation applied in managing employment which contributed to a rapid resumption of the employment situation of surplus personnel from Fagor Electrodomésticos.

The main contribution of this chapter comprises a detailed description of the methods used by the Mondragon Group to manage employment adjustment at the time of closure of its largest industrial cooperative during the recent general economic crisis (2008–2014), and thus avoid large-scale unemployment, its concommitant problems, and deeper deterioration of social capital in the Mondragon area. Further research is needed to compare this process with other international experiences based on cooperation.

This study aims to further the understanding of multi-level analysis in inter-organisational relationships by investigating the interplay of governance, cooperation and coordination in inter-organisational projects (IOPs) on sub-system and project levels.

The authors use the Viable Systems Model as a framework to analyse inter-organisational project governance, cooperation and coordination by adopting a multiple-case study.

The findings illustrate how governance and coordination mechanisms exhibit a filter-down effect on lower sub-systems while cooperation influence is confined within each sub-system. While remarking the importance of specific sub-systems on the overall project performance, the interplay of governance, cooperation and coordination across sub-systems appears to be complex, with governance influencing cooperation and coordination, whereas cooperation and coordination influence each other with an incremental effect.

This study defines two propositions that explain how multiple levels of analysis (project and sub-systems) can support the governance of large inter-organisational projects. The authors elaborate theory on the interplay of inter-organisational project governance, cooperation and coordination.

The purpose of this paper is to propose a conceptual model that portrays how contextual factors and behavioural cooperation mechanisms influence the effect of trade associations on the export performance of small and medium enterprises (SMEs) in a Latin American emerging economy.

The author draws on multiple streams of literature including: co-location, networks, cooperation and export performance to suggest a series of solid theoretical insights to the literature on SMEs’ export performance, networks and co-location in the Latin American context.

Contextual factors and behavioural cooperation mechanisms influence the effect of trade associations on export performance determining the final sign of such effect. Trust plays a role within all proposed mechanisms, but is not as fundamental as previously characterised in studies on the export performance of SMEs. Cooperation might exist, prevail, and exert a positive impact on SMEs’ export performance even in the absence of trust.

This paper contributes to the literature on SMEs’ export performance, networks and co-location in the Latin American context by presenting a theoretical model that enfolds co-location, networks, trade associations and cooperation effects on SMEs’ export performance under the same foundation. It creates the categories of “contextual factors” and “behavioural cooperation mechanisms” to differentiate the elements that weight on the relationship between firms and trade associations, thus facilitating or hindering export performance. It guides policy makers and company managers on where to focus when incentivizing conduct towards a more productive export performance in Latin America and other emerging economies.

Este artículo presenta un modelo teórico que describe cómo factores de contexto y mecanismos de cooperación conductuales impactan el efecto de las asociaciones de negocios en el desempeño exportador de las pequeñas y medianas empresas (PYMES) en el contexto de los países emergentes de América Latina.

Los autores se basan en diversas líneas de investigación de la literatura, incluyendo: Co-locación, Redes, Cooperación y Desempeño Exportador para sugerir una serie de conclusiones teóricas referentes a la relación entre las PYMES y las asociaciones de negocios.

Los factores contextuales y los mecanismos de cooperación conductuales influyen en el efecto de las asociaciones de negocios en el desempeño de las exportaciones de las PYMES, determinando el signo final de dicho efecto. La confianza desempeña un papel dentro de todos los mecanismos conductuales propuestos, pero no tan fundamental como se caracterizó previamente en los estudios sobre el desempeño exportador de PYMES. La cooperación podría existir, prevalecer y ejercer un impacto positivo en el desempeño de las exportaciones de las PYMES, incluso en ausencia de confianza.

Este artículo contribuye a la literatura enfocada en PYMES, redes, co-locación y desempeño exportador, mediante la introducción de un modelo teórico que incluye en una plataforma única los conceptos de co-localización, redes, asociaciones de negocios y efectos de la cooperación en el desempeño de las exportaciones de las PYMES. En adición, crea las categorías de “factores contextuales” y “mecanismos de cooperación conductual” para diferenciar los elementos que influyen en la relación entre las empresas y las asociaciones de negocios, facilitando u obstaculizando así el desempeño de las exportaciones de PYMES en América Latina y otras economías emergentes.

The purpose of this study is to provide insights into the role of governance mechanisms in fostering innovativeness in horizontal service cooperations.

Data were collected from 225 horizontal service cooperations in the logistics industry via an online survey. Structural equation modeling was used to analyze the empirical data.

The choice of governance measures helps to improve the innovativeness of service cooperations. The use of formalization and balanced mutual influence, combined with cultural similarity provides the basis for the development of new or enhanced services within the cooperation. In contexts that build on equity‐based contracts, innovativeness is driven by the degree of mutual influence among partners.

Empirical data were collected in a single industry (logistics) and in a single country (Germany). A confirmation of the results in different service settings is therefore encouraged.

This research emphasizes the importance of governance in facilitating innovation in service cooperations. By applying the right governance mechanisms in possible settings of co‐opetition, managers can foster coordination and the exchange of knowledge and diminish opportunistic behavior among parties.

The research is extended by developing a model based on the knowledge of service innovation, cooperation performance and governance mechanisms and by empirically testing this model.

The Renewable Energy Directive 2009/28/EC of the European Union provides another element to cross-border cooperation by allowing Member States to fulfill their 2020 renewable energy sources (RES) targets by implementing joint projects in third countries through the cooperation mechanisms. The purpose of this paper is to assess the country risk, to support bilateral cooperation for RES electricity generation projects.

A multicriteria decision support methodology has been developed taking into account three evaluation parameters, namely, the investment framework, the social conditions and the energy and technological status. An additive value model has been constructed, and the UTilitès Additives (UTA) – UTA* (UTASTAR) disaggregation method has been implemented to infer the criteria weights. The obtained ranking of alternatives has been subjected to robustness analysis, and finally the proposed methodology has been applied to five North Africa countries, so as to draw key results.

The pilot application of the methodological approach proposed and the model developed was fully compatible with the decision maker’s ranking on a set of fictitious countries and facilitated the assessment of a country’s current situation with regards to its investment, social conditions and energy and technological status. The results regarding the five North African countries examined, indicated the country’s investment framework as the most important factor, from foreign investors’ perspective, affecting a country’s suitability for the implementation of RES projects through a cooperation mechanism and Morocco, as well as Tunisia as the countries with the most suitable conditions for a successful implementation of such projects.

To the best of authors’ knowledge, there are only very few studies trying to assess opportunities and risks emerging from the implementation of joint projects between European and third countries in the field of electricity generation from RES. There are even less studies using (UTASTAR) method on real-world decision-making problems, and almost none are dedicated to energy sector-related problems.

Effective cooperative communication and knowledge management capabilities are particularly important in the cross-team cooperation. Based on the social exchange theory, this paper aims to further explore the role and influence mechanism of cooperative communication and knowledge sharing on co-innovation performance in open innovation projects (OIPs).

This paper takes China’s high-tech enterprises as the research object by using a paired questionnaire survey based on 168 pairs of OIPs. Hayes’ PROCESS programme and the bootstrap technique are used to test the hypothesis model and the significance of the mediation effect.

This study finds that cooperative communication is an effective mechanism for the internal and external interaction of OIPs. Knowledge sharing plays an intermediary role in the relationship between cooperative communication and co-innovation performance; both explicit knowledge sharing and tacit knowledge sharing have a significant positive impact on co-innovation performance. And the impact of cooperative communication on co-innovation performance is based on effectively promoting the knowledge sharing of partners.

This research incorporates cooperative communication, knowledge sharing and co-innovation performance into a unified research framework to study the co-innovation at the project level, enriches the research scenario on the mechanism of cooperative behaviour, deepens the understanding of the role and influence mechanism of cooperative communication and knowledge sharing on co-innovation performance in OIPs, verifies the mediating role of knowledge sharing to co-innovation, and also helps extend the social exchange theory to a new research setting.

This study aims to investigate the environmental effects of climate financial fragmentation in the form of emerging multilateral institutions.

Among the countries that have economic relations with China, those involved in climate finance cooperation are taken as the experimental group, and those not involved in other areas are taken as a control group. Using system generalized method of moments regression, the difference-in-differences method is used to test the environmental effects of climate finance cooperation of emerging multilateral institutions. In this way, this study explores the financial and trade mechanisms of cooperation among emerging multilateral institutions.

The results of this empirical study show that the cooperation of emerging multilateral institutions has a positive impact on the environment. Research results further reveal the financial and trade mechanisms of climate finance cooperation projects. When the invested countries are more likely to obtain international capital, environmental effects will be greater. However, trade intimacy could inhibit the improved environmental effects.

This research is one of the few studies to test the environmental effects of climate financial fragmentation empirically. This study provides a better understanding of the multilateral cooperation of emerging economic entities and China’s climate finance policy, thus providing evidence for the collaborative governance of global climate finance.

Sungusungu non-state justice organizations in Tanzania exemplify large-scale cooperation. Sungusungu third-party enforcers protect property and resolve interpersonal disputes for ethnic Sukuma and individuals from other ethnic groups who have joined the hierarchically structured organizations. We use ethnographic and experimental data to highlight the importance of institutional forces when attempting to understand patterns of large-scale cooperation. We acknowledge the usefulness of considering micro-economic theories (e.g. costly signaling theory) to understand Sungusungu, but show that social institutions and a human predisposition to act as a “strong reciprocator” are important mechanisms to explain both the origins and maintenance of Sungusungu cooperation.

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.

Promoting low-carbon in the construction industry is important for achieving the overall low-carbon goals. Public–private partnership is very popular in public infrastructure projects. However, different perceptions of low-carbon and behaviors of public and private sectors can hinder the realization of low-carbon in these projects. In order to analyze the willingness of each stakeholder to cooperate towards low-carbon goals, an evolutionary game model is constructed.

An evolutionary game model that considers the opportunistic behavior of the participants is developed. The evolutionary stable strategies (ESSs) under different scenarios are examined, and the factors that influence the willingness to cooperate between the government and private investors are investigated.

The results illustrate that a well-designed system of profit distribution and subsidies can enhance collaboration. Excessive subsidies have negative impact on cooperation between the two sides, because these two sides can weaken income distribution and lead to the free-riding behavior of the government. Under the situation of two ESSs, there is also an optimal revenue distribution coefficient that maximizes the probability of cooperation. With the introduction of supervision and punishment mechanism, the opportunistic behavior of private investors is effectively constrained.

An evolutionary game model is developed to explore the cooperation between the public sector and the private sector in the field of low-carbon construction. Based on the analysis of the model, this paper summarizes the conditions and strategies that can enable the two sectors to cooperate.