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The purpose of this paper is to develop a conceptual framework for extending an understanding of resilience in complex adaptive system (CAS) such as supply chains using the adaptive cycle framework. The adaptive cycle framework may help explain change and the long term dynamics and resilience in supply chain networks. Adaptive cycles assume that dynamic systems such as supply chain networks go through stages of growth, development, collapse and reorientation. Adaptive cycles suggest that the resilience of a complex adaptive system such as supply chains are not fixed but expand and contract over time and resilience requires such systems to navigate each of the cycles’ four stages successfully.

This research uses the adaptive cycle framework to explain supply chain resilience (SCRES). It explores the phases of the adaptive cycle, its pathologies and key properties and links these to competences and behaviors that are important for system and SCRES. The study develops a conceptual framework linking adaptive cycles to SCRES. The goal is to extend dynamic theories of SCRES by borrowing from the adaptive cycle framework. We review the literature on the adaptive cycle framework, its properties and link these to SCRES.

The key insight is that the adaptive cycle concept can broaden our understanding of SCRES beyond focal scales, including cross-scale resilience. As a framework, the adaptive cycle can explain the mechanisms that support or prevent resilience in supply chains. Adaptive cycles may also give us new insights into the sort of competences required to avoid stagnation, promote system renewal as resilience expands and contracts over time.

The adaptive cycle may move our discussion of resilience beyond engineering and ecological resilience to include evolutionary resilience. While the first two presently dominates our theorizing on SCRES, evolutionary resilience may be more insightful than both are. Adaptive cycles capture the idea of change, adaptation and transformation and allow us to explore cross-scale resilience.

Knowing how to prepare for and overcoming key pathologies associated with each stage of the adaptive cycle can broaden our repertoire of strategies for managing SCRES across time. Human agency is important for preventing systems from crossing critical thresholds into imminent collapse. More importantly, disruptions may present an opportunity for innovation and renewal for building more resilience supply chains.

This research is one of the few studies that have applied the adaptive cycle concept to SCRES and extends our understanding of the dynamic structure of SCRES

This study investigated how organizations can maintain their supply chain (SC) resilience in situations where high-impact shocks cannot be absorbed and what capabilities are needed. The article is an empirical exploration of a socio-ecological view of resilience in the SC context.

The case under study in this article is that of Médecins sans Frontières (MSF) and MSF's reconfiguration of its supply management processes in response to the supply shocks during the coronavirus disease 2019 (COVID-19) pandemic. In total, 503 internal documents and ERP extractions from six databases from late 2019 to September 2020, 43 semi-structured interviews and a 3-round policy Delphi process were used to investigate this phenomenon.

The authors' results show that throughout the pandemic, MSF adapted its procurement and supply processes to cope with supply shortages at both the international and local levels of the SC. This was possible due to the organization's capacity to use its exploitation and exploration capabilities of the organization at the same time.

This research is based on the single in-depth case study of a medical aid organization. Further research should investigate this phenomenon in commercial companies with similar or different organizational structures.

This study constitutes a first attempt to empirically demonstrate that the four phases of the adaptive cycle put forth in the panarchy theory constitute a suitable representation of the reconfigurations that SCs follow in response to a high-impact shock. The study also adds to the growing body of knowledge on resilience by including ambidexterity as a mechanism to achieve resilience.

This paper aims to identify the differentiated paths followed by firms to innovate in business models, among four different strategic postures and also to determine the innovation interactions between business model components, among strategic postures. The authors intend to highlight the differentiated patterns of business model innovation (BMI) in each strategic posture and provide guidance to small and medium enterprises (SMEs) managers regarding the suitable alignments of business model components when they innovate in their business model.

The research model developed and tested in this work uses a composite model that borrows from the logic of Miles and Snow’s cycle of adaptive strategic choices as well as Demil and Lecocq’s perspective of permanent change within and between components of a business model. The authors’ model is designed first to encompass the differentiated patterns characterizing the relationships between the strategic posture of defender, prospector and analyzer profiles and the related innovation attributes of their business model components. The study was conducted with independent French manufacturing SMEs ranging from 10 to 250 employees in size and having revenues below €50m (European Commission, 2007). The analysed sample includes 169 firms from 14 sectors representative of French manufacturing SMEs.

Results confirm the differentiated propensity to adopt specific BMI behaviours among strategic postures. The authors also highlight the differentiated interactions between and within BMI components. These results suggest that SMEs tend to leverage specific BMI components related to their entrepreneurial, engineering and administrative choices. Thus, firms tend to evolve in a posture-specific, path-dependent dynamic consistency in which BMI attributes interact towards a limited set of alternatives, thus anchoring the new business model into strategic choices. It has been shown that the predictability of strategy–BMI alignment is contingent on the level of fit between empirically derived strategic profile attributes and Miles and Snow’s ideal profile attributes.

This paper investigates strategy–BMI alignments without addressing such alignments from the standpoint of firm performance. Still, performance from a BMI perspective lies in the ability of the firm to sustain the dynamic consistency of its business model components by identifying the effects of change in interactions between and within components on overall BM performance. Further studies should explore dynamic consistency as a means for firms to generate and maintain performance by innovating in their business model when facing specific contingencies. The conceptual framework designed for the present research seems appropriate for conducting such an investigation on the performance implications of strategy–BMI fit.

This research offers insights regarding manufacturing SMEs seeking guidance when changing business strategy. Indeed, by combining Miles and Snow’s configurational framework of strategic postures with Demil and Lecocq’s RCOV BM framework, the authors provide insights that can bridge the gap between intended strategy and realized strategy. The authors suggest that when realizing new strategic choices, SMEs should favour behaviours of BMI that are likely to fit the new intended strategic posture. Accordingly, the authors introduce a set of field-based BMI alignments specific to firms’ strategic posture to support the strategic management of innovation in SMEs.

By unravelling the alignments between strategic posture and business model innovation, this work contributes to enlightening the dynamics of Miles and Snow’s adaptive cycle. Indeed, viewing Miles and Snow’s typology from the configurational perspective of BMI provides a clearer picture of the adaptive cycle through which BMI reflects the path-dependent process of the formation of the firm’s strategic posture through the transformation of its business model.

This paper aims to focus on characterization of interactions between hp-adaptive time-integrators based on backward differentiation formulas (BDF) and adaptive meshing based on Zhu and Zienkiewicz error estimation approach. If mesh adaptation only occurs at user-supplied times and results in a completely new mesh, it is necessary to stop the time-integration at these same times. In these conditions, one challenge is to find an efficient and reliable way to restart the time-integration. The authors investigate what impact grid-to-grid interpolation errors have on the relaunch of the computation.

Two restart strategies of the time-integrator were used: one based on resetting the time-step size h and time-integrator order p to default values (used in the initial startup phase), and another designed to restart with the time-step size h and order p used by the solver prior to remeshing. The authors also investigate the benefits of quadratically interpolate the solution on the new mesh. Both restart strategies were used to solve laminar incompressible Navier–Stokes and the Unsteady Reynolds Averaged Naviers-Stokes (URANS) equations.

The adaptive features of our time-integrators are excellent tools to quantify errors arising from the data transfer between two grids. The second restart strategy proved to be advantageous only if a quadratic grid-to-grid interpolation is used. Results for turbulent flows also proved that some precautions must be taken to ensure grid convergence at any time of the simulation. Mesh adaptation, if poorly performed, can indeed lead to losing grid convergence in critical regions of the flow.

This study exhibits the benefits and difficulty of assessing both spatial error estimates and local error estimates to enhance the efficiency of unsteady computations.

The purpose of this paper is to take a cybernetic perspective on the impact of the earthquakes on the Convergence gathering. Convergence is an organisation formed by a network of alternative life-stylers almost 30 years ago in Canterbury, New Zealand. It holds an annual six-day gathering of 300-500 people over the New Year. Convergence evolved an acephalous structure in that there is no ongoing structured leadership. Leadership occurs in distributed, low key, transient and self-selected ways. Convergence has had its challenges and generally proved itself to be resilient.

This paper discusses the concepts of circularity, resilience, system archetypes, requisite variety, appreciative systems, network theory, antifragility, autopoiesis, structural coupling and learning organisations in relation to the Convergence gathering.

The Christchurch earthquakes of late 2010 and 2011 had an enormous impact on the people of Christchurch. While the earthquakes have not had any significant direct effects on Convergence, a significant number of people involved in Convergence suffered major chronic trauma or changes to life circumstances, which has impacted on the organisation. Nearly five years later many participants are still traumatised, while others are energised to develop Convergence as an organisation pioneering an innovative way of operating.

This research is a part of an ongoing PhD research project so results to date are provisional.

It may assist Convergence to understand the dynamics of perturbations.

There is little written on acephalous operation especially in the medium scale range. It is also hoped this research will help other organisations considering an acephalous structure.

In the emerging disciplines of risk management and supply chain management, resilience is a relatively undefined concept. The purpose of this paper is to present an integrated perspective on resilience through an extensive review of the literature in a number of disciplines including developmental psychology and ecosystems. In addition, the paper identifies and addresses some of the current theoretical gaps in the existing research.

Supply chain resilience has been defined by a number of disciplines. An integrative literature review is conducted in an attempt to integrate existing perspectives. This review also serves as the basis for the development of a conceptual model.

The key elements of supply chain resilience and the relationships among them, the links between risks and implications for supply chain management, and the methodologies for managing these key issues are poorly understood. Implications for future research advocate testing the proposed model empirically.

Supply chain disruptions have adverse effect on both revenue and costs. Resilient supply chains incorporate event readiness, are capable of providing an efficient response, and often are capable of recovering to their original state or even better post the disruptive event.

Supply chain resilience has yet to be researched from the logistics perspective. Even in well‐developed disciplines the unified theory of resilience is still under development. This research leverages existing knowledge and advances an interdisciplinary understanding of the concept.

In this study, the performance analysis of the split flow turbofan engine with afterburners has been examined using the parametric cycle analysis method. The purpose of this study is to examine how engine performance is impacted by design parameters and flight ambient values and to develop a software in this context.

Software has been developed using the open-source PYTHON programming language to perform performance analysis. Mach number, compressor/fan pressure ratio, bypass ratio and density were used as parameters. The effects of these variables on engine performance parameters were investigated.

Parametric cycle analysis has been calculated for different flight conditions in the range of 0–2 M and 0–15,000 m altitude for turbofan engines. With this study, basic data were obtained to optimize according to targeted flight conditions.

As a result of the performance analysis, the association between the flight conditions and design parameters of engine were determined. A software has been developed that can be used in the design of supersonic gas turbine engines for fast and easy simulation of the design parameters.

The variables used in the literature have been analyzed, and the results of the studies have been incorporated into the developed software, which can be used in innovative engine design. Software is capable to be developed further with the integration of new algorithms and models.

This paper aims to illustrate relationships between stakeholders in the conceptualisation and implementation of water and sanitation services (WSS) projects in marginalised settings of Nairobi and Kiambu Counties. It outlines these relationships in a flow diagram that shows a pathway analysis in which social innovation strategies are used as markers in the program of inclusive water provision. The study’s objective is to map the processes of social innovation in an effort to highlight the role of marginalised communities in their access to the right to water.

The paper approached the study using a case study design, and thereafter, constructivist grounded theory was used to further delve into the comparative cases. To map the processes of social innovation, the case study design was seen to be appropriate, as it sequenced activities in a time-series analysis. From these two case studies, four comparative cases were used to pinpoint path-breaking transition in the pathway analysis. The methods used in both phases were, namely, in-depth interviews, observations and document analysis, and these were complemented by field notes.

The paper indicates an opportunity to use emergent patterns for a more context-specific analysis of WSS projects in marginalised communities. It advances the role of marginalised communities as vital stakeholders in the approach described as “the right to the city”. The model of spatial appropriation brings to the fore the binary yet separate processes that stakeholders engage in.

Owing to the use of a grounded theory model, the results may not be transferable to other contexts. Therefore, further testing of the proposed pathway analysis and model is encouraged, as this model suggests ways of ensuring full community engagement which would result in greater success in projects involving marginalised communities.

The paper has implications for both the government and communities, in that more deliberate roles for the community-based organisation in the conceptualisation of WSS projects can lead to social learning opportunities for government institutions and greater success in implementation.

The paper justifies the need for government institutions to map and evaluate WSS projects using emergent patterns to highlight the role of marginalised communities as their right to the city.

This paper aims to explain the role of supply chain capital (SCC) in developing transformative supply chain resilience (SCRes) to cope with environmental dynamism. Through a panarchy theory lens, this paper holistically examines how supply chains and their resilience are impacted by the multilevel structure in which they are embedded.

Contextualised explanation-building case studies are used to examine the transformative SCRes of 10 companies. Data were collected via interviews, documents, archival records and observations.

Studying transformative SCRes leads to generating insights into the application of SCC for managing environmental dynamisms at the organisational and supply chain levels. Furthermore, the linkages between different levels of the panarchy and their impact on the change in SCC to cope with the dynamisms are identified and explained.

This paper contributes to the new and timely paradigm of transformative SCRes by studying this phenomenon in a holistic manner (rather than a traditional reductionistic view). Through a panarchy lens, the need to examine and analyse different hierarchy levels simultaneously to interpret SCRes responses to environmental dynamism is highlighted.

Valuable insights are provided to practitioners in developing an understanding of structural and relational SCC and their management in the development of transformative SCRes.

This paper is one of the first empirical studies using a multilevel social-ecological-based panarchy framework in the supply chain management context. Applying this novel approach is highly relevant and reveals several new research opportunities.

This paper aims to understand why higher education institutions (HEIs) struggle to become sustainable institutions themselves despite providing relevant teaching and research on sustainability.

Using 17 open-ended, semistructured interviews to determine common themes (codes) regarding sustainability, the authors mapped those codes to the adaptive cycle from social innovation theory.

Using the adaptive cycle offered a framework for understanding sustainability at HEIs as a cyclical process where innovation occurs in ebbs and flows. Differing perceptions of power by students and faculty slow down the process, and cross-collaboration is the key to further sustainability.

Insights from the adaptive cycle can contribute to HEI assessment of its sustainability initiatives by identifying the stage of the adaptive cycle relevant to the institution’s present sustainability work.

Applying the adaptive cycle is an original way of understanding the process of anchoring sustainability at HEIs providing concrete insights into advancing this process.