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The purpose of this paper is to reflect on results of recent research about the self‐organisation (SO) of communities that aim to regenerate and/or improve their sustainability, also to reflect upon methodological and epistemological issues related to the application of complexity approaches to support SO in communities and in general, social enterprises.

The paper summarises recent research findings on SO and self‐transformation in communities using a combination of complexity approaches. It describes the methodological framework used to conduct action research about the self‐transformation and learning of a European eco‐community and reflects about the approaches used and lessons learned.

This research confirms the complementarity between two approaches to complexity management: the viable systems model from S. Beer, a pioneering approach to managing complexity in institutions, and complex adaptive systems, a more recent approach to deal with SO in organisations. Mapping the organisational dynamics and the structural changes decided by the community members shows interesting insights about emergence and SO. This is a state‐of‐the‐art research on multi‐methodological approaches to support complexity management in organisations.

As in many action research projects, early findings are limited to one particular organisation. Nevertheless, the theoretical frameworks of the broader research are useful for a wide variety of organisations, both in terms of guiding organisational transformations and supporting networking management of networks collaborating to create more sustainable evolutionary pathways.

Recently, there is an increasing academic and practitioner interest on the Igbo ethnic group, their business activities and how they have utilised industrial clusters to drive local industrial development in the southeast region of Nigeria and the country at large. However, there are relatively few studies that have explored the mechanisms driving this development. Our chapter focuses on explicating the Igbo business industrial clusters and its inherent locally generated venture capital approach built on the Igbo traditional culture and philosophy. We draw on previous literature to show the three phases: assessing competency, providing the start-up capital and continuous replication process involved in creating and sustaining the locally generated venture capital approach as operated by Igbo business industrial clusters. We contend that overall, this approach has the potential to drive modern business and industrial policies for driving entrepreneurial start-ups, innovation, and economic sustainability. We conclude our chapter by highlighting the implications for Africa, African business practices and areas for future studies.

The purpose of this is to explore the potential of the combined use of the viable system model (VSM) and social network analysis (SNA) to identify organizational pathologies.

Using a well-documented case study based on an academic consultancy intervention and Action Research Project, participative methods for the diagnostic of the VSM and questionnaires for the collection of connectivity data for the SNA were used to develop a heuristic to integrate these two tools and identify organizational pathologies.

This study provides empirical evidence of the benefits of the combined use of SNA to enhance the identification of organizational pathologies in VSM interventions, by providing an additional qualitative and quantitative framework for the interpretation of findings coming from VSM organizational diagnostics.

This work explores some analytic routines of SNA frequently used in management. The validation is constrained to the nature of the data set from a case study. The document invites to a discussion of further and more advanced applications on the integration of the VSM and SNA.

The enhanced identification of organizational pathologies can contribute to the emerging new interest in applications of the VSM in management, providing robustness to the structural analysis of organizations.

This paper proposes a guideline to exploit the potential of the combined use of SNA and VSM. It opens new avenues for the study of organizational pathologies.

The purpose of this research is to explore core contributions from two different approaches to complexity management in organisations aiming to improve their sustainability,: the Viable Systems Model (VSM), and the Complex Adaptive Systems (CAS). It is proposed to perform this by summarising the main insights each approach offers to understanding organisational transformations aiming to improve sustainability; and by presenting examples of applied research on each case and reflecting on the learning emerging from them.

An action science approach was followed: the conceptual framework used in each case was first presented, which then illustrates its application through a case study; at the first one the VSM framework supports an organisational transformation towards sustainability in a community; the second one is a quantitative case study of intended greening of two firms in the supermarket industry, taken from a CAS perspective. The learning from each case study on how they support/explain organisational learning in transformations towards more sustainable organisations was illustrated.

It wase found that the VSM and the CAS approaches offer internally consistent and complementary insights to address issues of self‐organisation and adaptive management for sustainability improvement: while CAS explains empowerment of bottom‐up learning processes in organisations, VSM enables a learning context where self‐organised networks can co‐evolve for improved sustainability.

The main aspects of both theories and examples of their explanatory power to support learning in practical applications in organisations were introduced. The initial findings indicate that it will be worth studying in greater depth the contributions to organisational learning from both conceptual models and more widely comparing their applications and insights.

The paper offers some guidance to both researchers and practitioners interested in using complex systems theories in action research‐oriented projects, regarding the usability and applicability of both approaches.

It is considered that, by better understanding organisational ability to adapt and self‐regulate on crucial issues for sustainability, it may help to develop one path through the ongoing socio‐ecological crisis. While much has been written about sustainability initiatives and governance from conventional perspectives, much less is known about how a complex systems framework may help to address one's pressing sustainability needs. These issues from two innovative complexity approaches as well as the value of using them in action research were illustrated.

Process redesign refers to the intentional change of business processes. While process redesign methods provide structure to redesign projects, they provide limited support during the actual creation of to-be processes. More specifically, existing approaches hardly develop an ontological perspective on what can be changed from a process design point of view, and they provide limited procedural guidance on how to derive possible process design alternatives. This paper aims to provide structured guidance during the to-be process creation.

Using design space exploration as a theoretical lens, the authors develop a conceptual model of the design space for business processes, which facilitates the systematic exploration of design alternatives along different dimensions. The authors utilized an established method for taxonomy development for constructing the conceptual model. First, the authors derived design dimensions for business processes and underlying characteristics through a literature review. Second, the authors conducted semi-structured interviews with professional process experts. Third, the authors evaluated their artifact through three real-world applications.

The authors identified 19 business process design dimensions that are grouped into different layers and specified by underlying characteristics. Guiding questions and illustrative real-world examples help to deploy these design dimensions in practice. Taken together, the design dimensions form the “Business Process Design Space” (BPD-Space).

Practitioners can use the BPD-Space to explore, question and rethink business processes in various respects.

The BPD-Space complements existing approaches by explicating process design dimensions. It abstracts from specific process flows and representations of processes and supports an unconstrained exploration of various alternative process designs.

This paper aims to provide a critical synthesis of the interface of corporate social responsibility (CSR) and peer-to-peer (P2P) accommodation to offer insights that contribute to theory and practice of CSR in hospitality.

By using key CSR models, this paper reflects on the nexus between CSR and P2P accommodation (with a focus on Airbnb) to identify opportunities and challenges with regard to CSR implementation in P2P accommodation and, thereby, progress the research agenda on the topic.

This contribution will hopefully enable policymakers to improve the accountability of stakeholders related to P2P accommodation in terms of the sector’s impacts on local communities while contributing to the progression of the research agenda on CSR in hospitality.

Because this contribution is meant to be a “critical reflection paper”, the main purpose is to flesh out a commentary offering recommendations on how to account for CSR in relation to P2P accommodation and primarily Airbnb. As such, this paper aims to prompt future empirical research on the topic. Naturally, the major downside of this type of paper is the lack of an empirical approach.

This paper advances theory on hospitality-related CSR, enabling policymakers to improve the stakeholders’ accountability related to P2P accommodation in terms of the sector’s impacts on local communities.

Despite the increasing importance of CSR in hospitality, minimal academic attention has been paid insofar to CSR in the P2P accommodation sector. This inattention is surprising given the rapid expansion of the sector which, in turn, has imposed significant pressures on local communities.

The purpose of this paper is to analyse the convenience of the Viable System Model (VSM) as a framework to guide organisational adaptive response and resilience in times of instability and change.

A thought experiment based on the case study of an eco-village where a project based on action research was conducted following the introduction of the VSM.

This paper provides evidence of the efficacy of the VSM and its recursive structure to facilitate resilience and organisational adaptation and provides evidence of its advantages over conventional management tools to deal with uncertainty in complex environments.

Based on a case study, the scope of this paper is limited and context specific. The comparison of tools is also limited to the ones related to the allocation of resources aiming to provide resilience, viability and adaptive response to critical events, used by the observed community.

The case study invites to revisit and discuss the fitness of conventionally used management tools to cope with complexity – from an organisational perspective.

This paper invites to a reflection on the nature of dominant management tools used in contemporary management to cope with complexity. This paper provides insights on the value of organisational cybernetics and its capability to guide organisations in times of instability and change while facilitating resilience and adaptation through the management of variety.

This paper aims to revisit the viable system model (VSM) discussing it from both the theoretical and the empirical standpoints, and ascertaining its relevance for organizational governance.

A combination of theoretical and empirical components is used: introduction to theory and critique on the one hand; case studies and a large sample empirical study on the other.

The VSM has proved to be a powerful means of governance for organizations in turbulent times. It conveys a durable, reliable knowledge. This has been corroborated in both case studies and a large-scale empirical study.

Application of the model under study can activate a huge potential for the improvement of organizations.

This contribution tests the VSM in an unseen fashion – qualitatively and quantitatively. The results suggest that a high confidence in the model is justified. It conveys to managers and leaders an unconventional, superior approach to both diagnosis and design of their organizations.

While there is some agreement on the usefulness of systems and complexity approaches to tackle the sustainability challenges facing the organisations and governments in the twenty-first century, less is clear regarding the way such approaches can inspire new ways of governance for sustainability. The purpose of this paper is to progress ongoing research using the Viable System Model (VSM) as a meta-language to facilitate long-term sustainability in business, communities and societies, using the “Methodology to support self-transformation”, by focusing on ways of learning about governance for sustainability.

It summarises core self-governance challenges for long-term sustainability, and the organisational capabilities required to face them, at the “Framework for Assessing Sustainable Governance”. This tool is then used to analyse capabilities for governance for sustainability at three real situations where the mentioned Methodology inspired bottom up processes of self-organisation. It analyses the transformations decided from each organisation, in terms of capabilities for sustainable governance, using the suggested Framework.

Core technical lessons learned from using the framework are discussed, include the usefulness of using a unified language and tool when studying governance for sustainability in differing types and scales of case study organisations.

As with other exploratory research, it reckons the convenience for further development and testing of the proposed tools to improve their reliability and robustness.

A final conclusion suggests that the suggested tools offer a useful heuristic path to learn about governance for sustainability, from a VSM perspective; the learning from each organisational self-transformation regarding governance for sustainability is insightful for policy and strategy design and evaluation; in particular the possibility of comparing situations from different scales and types of organisations.

There is very little coherence in the governance literature and the field of governance for sustainability is an emerging field. This piece of exploratory research is valuable as it presents an effective tool to learn about governance for sustainability, based in the “Methodology for Self-Transformation”; and offers reflexions on applications of the methodology and the tool, that contribute to clarify the meaning of governance for sustainability in practice, in organisations from different scales and types.

This research intends to look at the regional characteristics through an analysis of crowd preference and confidence, and investigates how regional characteristics are going to affect human beings at all aspects in a scenario of sharing economy. The purpose of this paper is to introduce an approach to provide an understandable rating score. Furthermore, the paper aims to find the relationships between different features classified in this study by using machine learning methods. Furthermore, due to the importance of performance of methods, the performance of the features is also improved.

The Rating Matching Rate (RMRate) approach is proposed to provide score in terms of simplicity and understandability for all features. The relationships between features can be extracted from accommodation data set using decision tree (DT) algorithms (J48, HoeffdingTree, and REPTree). Usability of these methods was evaluated using different metrics. Two techniques, “ClassBalancer” and “SpreadSubsample,” are applied to improve the performance of algorithms.

Experimental outcomes using the RMRate approach show that the scores are very easy to understand. Three property types are very popular almost in all of selected countries in this study (“apartment”, “house”, and “bed and breakfast”). The findings also indicate that “Entire home/apt” is the most common room-type and 4.5 and 5 star-rating are the most given star-rating by users. The proposed DT algorithms can find the relationships between features significantly. In addition, applied CB and SS techniques could improve the performance of algorithms efficiently.

This study gives precise details about the guests’ preferences and hosts’ preferences. The proposed techniques can effectively improve the performance in predicting the behavior of users in sharing economy. The findings can also help group decision making in P2P platforms efficiently.