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This chapter argues that organizations are not sustainable if they operate in unsustainable societal and ecological contexts, and that operating in a way that contributes to the health of the larger system requires organizations to develop new capabilities. It demonstrates the role that rich internal and external networks play in developing sustainability capability particularly in providing pathways to generate, import, apply, and disseminate knowledge about how to operate more sustainably.

The case study of the sustainability transition of Cleveland Clinic is based on four years of interviews and archival data collection examining the system’s transformational change that began in 2007. The case focuses on the building of sustainability capability, including an internal infrastructure to focus the organization on this outcome, and building of rich networks for learning and action. The case is framed with capability and network theory.

Guided and catalyzed by a small central group called the Office for a Healthy Environment, Cleveland Clinic has achieved measurable progress in key strategic focuses including waste diversion, energy efficiency, and increasing integration of local foods into its supply chain. To do so, it has developed strong internal networks to disseminate knowledge and accelerate innovation and adoption of sustainable practices. Strong, dynamic external networks have enabled Cleveland Clinic to import knowledge about sustainable practice from its environment, and have enabled it to help build the sustainability capability of its vendors, the community upon which it depends, and the health-care industry.

Starting with the perspective that the sustainability of an organization depends on the sustainability of the ecosystems in which it exists, this chapter focuses not on the design of specific sustainability initiatives, but on the dynamic networks that underpin the capability to simultaneously improve the health of the organization and of the larger ecosystem. This perspective provides insight into new organizing principles.

Social network analysis (SNA) may be useful in the exploration of the potential intersection between organizations, human relations (HR), public relations (PR), and corporate social responsibility (CSR) or sustainability issues. In an age of PR, social media have an important function, as reflected in the employee engagement movement. Visualization through mapping of Twitter data allows researchers to identify centers of social influence in which content travels through key accounts during sharing. Computer-mediated communication (CMC) concepts of identity, interaction, and community offer potential for future research.

A work system may be said to exhibit social sustainability if it utilizes its human, social, economic, and ecological resources with responsibility. This entails using these resources in a non-exploitive way, regenerating them, and paying due attention to the needs and ambitions of its stakeholders in the short- and long-term. For most presently existing organizations attaining and maintaining sustainability requires a midcourse correction, a transformation process. This chapter reviews the main concepts regarding sustainability and previous research of organizational development in this context. It presents a four-phase model for this transformation process and illustrates the model's application in four different contexts. The results are discussed and directions for further research are presented.

The chapter describes and reflects upon an EU-funded research initiative, TRADEIT, which has attempted to develop a learning network among European traditional food producers as one way of contributing to the economic sustainability of the ventures, the social sustainability of the food’s regional character and the environmental sustainability of food production through the use of traditional methods.

The chapter describes TRADEIT before moving on to an exploration of learning in organizations and networks. It outlines the action learning research methodology developed and implemented to explore the development of a learning network in TRADEIT. A single case history is presented to illustrate the engagement of a small food producer in the network.

The discussion reflects on the application of action learning in supporting sustainability evident in TRADEIT.

The chapter focuses on the application of action learning in the development of a learning network among traditional food producers across Europe.

This chapter examines the case studies in this volume with a focus on concepts and methods used in the study of multi-organization networks and partnerships, motivations to join in multi-party collaboration, how multi-organization collaborations organized and managed, what kinds of value are created by collaborations, and the role of leadership therein.

A comparative look at four vertical networks (in health care and education); two “issue” networks/partnerships (sustainable seafood and water use); and the roles of government in collaboration in horizontal, vertical, and issue-based arrangements.

The chapter describes “lessons” learned about building both sustainability and collaborative capabilities in and across partnering organizations and about improving partnership structures, processes, and results.

The chapter sums and synthesizes the volume’s contributions.

This study examines the diffusion process of corporate sustainability (CS) in the global automotive industry. It discusses the different roles played by the automakers, as the industry’s focal firms, in diffusing CS strategies throughout their respective supply networks. Studies have explained this phenomenon as being the result of the higher levels of stakeholder exposure faced by focal firms, which generate higher levels of supplier sustainability risk. In this context, the authors examine the effects of three network-related firm characteristics – resource dominance, resource substitutability, and network centrality – in determining the effectiveness of a firm in diffusing CS in its network. For that purpose, we present a theoretical framework from which we derive a set of hypotheses and test them on a sample of the global automotive supply network containing 10,726 firms linked by 45,044 inter-firm relationships. The results lend significant support to the argument that these network-related firm attributes are crucial mechanisms to the process of diffusion of CS strategies in a supply network, thus contributing to extant literatures in strategic management, international business, and sustainable supply chain management.

This chapter introduces the volume’s theme by considering how the forces of globalization and complexity are leading organizations to reshape and redesign themselves, how meeting the challenges of sustainable effectiveness and shared value require multiorganization networks and partnerships, and how networks and partnerships develop, function, and can produce both private benefits and public goods.

We apply findings from social and political evolution frameworks, partnership and collaboration research, and design for sustainability concepts to induce the likely conditions required for sustainable effectiveness from a network perspective.

Successful partnerships and collaborations in service of sustainable effectiveness will require individual organizations to change their objective function and build new and varied internal and external capabilities.

The chapter sets the stage for the volume’s contributions.

Community rail is a grassroots movement that spans Britain, made up of hundreds of community groups and partnerships that engage people with their railways and stations and provide a bridge between the rail industry and the public at a local level. The movement has grown up from the grassroots, but it has also been increasingly supported and nurtured by the rail industry, with train operators proactively encouraging its spread and development. They, and national and devolved governments, recognise the value of community rail, and its contribution to social inclusion, sustainable development and the railway’s ability to prosper and serve passengers and communities well, now and in the future. This idea is supported by passenger data showing that railway lines with community rail partnerships – working to enhance, promote and aid access to those lines – outperform comparable lines. A swathe of qualitative evidence shows community rail partnerships and station groups having a demonstrable impact on their localities and people’s lives, and appreciation of this role by industry leaders. The many examples of community rail volunteers and practitioners bringing about positive change resonate with academic research exploring how civic engagement and local efficacy and communications can support change, particularly with regard to sustainable behaviours and development. A range of researchers argue that localised, interactive engagement and communications may be the key, when it comes to bringing about the major shifts in behaviour needed to address the global, existential threat posed by the climate crisis, which unsustainable behaviours and policies have brought about. In this way, evidence suggests that engaging communities with their railways, and local transport networks generally, is critical, both to these networks operating in a truly sustainable manner and to achieving inter- and intra-generational equity within the communities they serve.

Many European businesses are small and medium enterprises (SMEs), contributing significantly to the well-being of local economies and regions. Even so, SMEs face many challenges in fostering innovation and improving performance. Furthermore, the raw material consumption is increasing globally, necessitating the development of strategies that will reduce the number of raw materials extracted and imported while improving the sustainability of small and medium-sized businesses. Consequently, promoting circular economy (CE) strategies, such as industrial symbiosis (IS) partnerships, whereby waste products from other industries serve as a source of raw materials for companies, is critical. Identifying and analysing enablers or drivers that support IS collaborations among SMEs is necessary to achieve this goal. In this regard, the purpose of this study will explore the enablers of IS among SMEs considering sustainability dimensions (environmental, social and economic). As facing a decision-making (DM) problem, the multiple attribute decision-making (MADM) approach was applied in a hesitant fuzzy (HF) environment in this research to answer the research questions. In this regard, in phase 1, IS enablers were identified and extracted using a literature review and experts’ opinions. In phase 2, the hesitant fuzzy Delphi (HFD) method was implemented to screen and finalise the enablers identified. In phase 3, casual relations among final enablers were determined using the hesitant fuzzy ANP (HF-ANP) method. Finally, in phase 4, the relative importance of enablers was calculated using the hesitant fuzzy best–worst method (HF-BWM). Consequently, this study provided potential strategies for IS that can be implemented quickly and used by local authorities to support SMEs in achieving circular waste management.