Dynamic Resilience Research Articles

The role of resilience in navigating work stress and achieving daily work goals

SummaryOn a daily basis, resilience is critical for employees to cope with difficulties and challenges in achieving work goals. Understanding the dynamic resilience process throughout the workday is crucial for gaining insights into how employees can effectively leverage their resilience to meet their daily work goals. The present study aims to examine this dynamic resilience process in response to work stress while pursuing work goals among employees with different levels of trait resilience. Drawing on resilience literature and the conservation of resources theory, we propose a resilience‐depleting process in response to morning work stress within a short, half‐day timeframe. We further examine whether state resilience impacts subsequent work goal striving at the within‐person level. Additionally, we explore the buffering effect of trait resilience on the resilience‐depleting process after experiencing work stress. To test our hypotheses, we employed the experience sampling methodology with 108 full‐time employees over five consecutive workdays. Multilevel analyses revealed that morning work stress significantly diminished state resilience, indirectly influencing daily work goal progress through work goal activation. Notably, trait resilience buffered the negative impact of work stress on state resilience. These results offer insights into theoretical understanding and practical implications for managing employee state resilience in the face of work stress to achieve daily work goals.

A dynamic resilience management framework for deep-tier supply networks

The unprecedented supply chain disruptions caused by COVID-19 has had severe operational and financial consequences to firms across industries and continents. While tactical reactionary strategies can help, firms are in need of proactive management approaches to design more resilient supply chain networks in the first place. Firms are looking for an effective framework to design and monitor supply networks, mitigate disruption consequences, and manage resilience under different scenarios. We propose a framework to manage the resilience of deep-tier automotive supply networks by integrating a simulation-based resilience assessment scheme for effectiveness with an efficient optimization-based framework to find optimal strategies for handling regular disruption events. The framework promotes network analysis techniques combined with discrete-event simulation informed by secondary data sources and global supply risk databases for improving resilience management. We validate the effectiveness of the proposed framework using a real-world global automotive original equipment manufacturer case study. Our results demonstrate that the proposed dynamic framework relying on deep-tier visibility can optimize resilience strategies through all key performance indicators. The results show an average of 35% and 40% reductions in back-ordered cost and shipment delays, respectively, with a marginal growth in holding cost when the proposed framework is implemented with deep-tier visibility.

A Systematic Literature Review on Flexible Strategies and Performance Indicators for Supply Chain Resilience

AbstractSupply chain resilience is a widely useful concept for managing risk and disruption. Designing strategies for preparedness, response, and recovery can help businesses to mitigate risks and disruptions. Among them, flexible strategies can effectively improve supply chain resilience. In the literature, several studies have considered different types of flexible strategies and investigated their impacts on supply chain resilience. However, a systematic literature review (SLR) paper on this topic can further help to understand the scientific progress, research gaps, and avenues for future research. Hence, this study aims to explore how the literature has contributed to the area of flexible strategies and the impact on supply chain resilience performance. To achieve our objective, we apply an SLR methodology to identify themes such as research areas and key findings, contexts and industry sectors, methodologies, and key strategies and performance indicators in the connection between flexible strategies and supply chain resilience. The findings show that many studies connect flexible strategies to supply chain resilience. However, research gaps exist in analysing relationships between flexible strategies and performance, conducting comparative studies, developing dynamic resilience plans, applying flexible strategies, conducting theoretically grounded empirical studies, and applying multiple analytical tools to develop decision-making models for supply chain resilience. Finally, this study suggests several future research opportunities to advance the research on the topic. The findings can be a benchmark for researchers who are interested in conducting research in the area of flexible strategies and supply chain resilience.

Dynamic resilience analysis of the liner shipping network: From structure to cooperative mechanism

Liner shipping networks play a vital role in global and regional trade. However, they are susceptible to damage from unexpected interruptions, which can trigger dynamic cascading failures and undermine the system’s resilience. To address this challenge, we propose a novel cascading failure model for liner shipping networks that considers the characteristics of the network structure and port functions. First, we design two load redistribution methods that rely on network topology and employ a cooperative mechanism for coordination. This cooperative mechanism aims to balance the benefits for carriers and shippers by effectively controlling losses. Subsequently, we develop three metrics—network congestion rate, failure rate, and shipper loss—to assess the resilience of the network during cascading failures. To verify the impact of the cooperative mechanism, we apply the proposed methods to the China-Europe liner shipping network. Through simulations involving various port failures and resistance levels, we analyze the effectiveness of the cooperative mechanism. The results demonstrate that redistributing the load to downstream ports within the network effectively mitigates deep cascading failures. Additionally, the implementation of a port cooperative mechanism enhances resilience in the face of uncertainties by safeguarding crucial ports within the network and significantly reducing shipper losses. When port resistance is low, the cooperative mechanism reduces shipper losses by nearly half and lowers the average congestion rate. Although port reserve capacity can resist cascading failures, it falls short in the face of severe disruptions. In such cases, the cooperative mechanism compensates for capacity shortages, enhancing port resilience at a low cost. This study contributes to combating and minimizing cascading congestion in liner shipping networks, offering valuable insights for risk prevention and management strategies for ports and shipping companies. It also has implications for yield management and policy decisions from a network perspective.

Preadolescents' executive functions and resilience development: A cascade model of resilience resources and resilient functioning.

Executive functions (EF), encompassing inhibition, updating, and shifting, are widely acknowledged as cognitive factors that promote resilience. However, prior research examining the association between EF and resilience has been hampered by inconsistent conceptualizations of resilience and an overreliance on cross-sectional designs. We embraced a process-oriented conceptualization of resilience and employed a longitudinal approach to investigate how EF components interplay with the dynamic processes of resilience resources and resilient functioning. A total of 144 Chinese preadolescents (aged 10-12, 53.5% male) completed computer-based EF assessments at baseline and self-reported their resilience at three intervals during 2019-2020. The resilience evaluations encompassed resilience resources at individual, familial, and social levels, as measured by the Resilience Scale for Chinese Adolescents, and resilient functioning, operationalized as the residuals of socioemotional difficulties after accounting for stressful life events. The findings emphasized the dynamic nature of resilience, unveiling a developmental cascade from resilience resources to resilient functioning and back to resilience resources. Furthermore, distinct effects of EF components on resilience development were found. Specifically, inhibition was associated with both concurrent and long-term resilience resources and functioning, while updating predicted long-term resilience resources, and shifting predicted long-term resilient functioning. These results underscored the pivotal role of EF as a cognitive foundation in comprehending the dynamic resilience processes during preadolescence.

Experimental study on characterization of resilient modulus and prediction model of saline aeolian sand

The dynamic resilience characteristics of aeolian sand subgrade are influenced by salt content and water content, exhibiting significant stress dependence and anisotropy. The resilient modulus(MR) of aeolian sand represents the stress-strain nonlinearity under cyclic loading, serving as an important parameter for the design of aeolian sand subgrade in desert areas. In order to investigate the variation of MR of aeolian sand subgrade with salt content and water content under traffic loading, as well as the MR characteristics under these conditions, three types of aeolian sand samples with varying water content and four sulphate contents were prepared. The variation of MR of aeolian sand under different confining pressures and deviator stress levels, as well as the influences of water content and salt content, was studied through indoor dynamic triaxial testing. Based on the pattern of the fitting parameters of the benchmark model, a prediction model suitable for the MR of aeolian sand was constructed. The results indicate a rise in aeolian sand's MR with increasing deviator stress and confining pressure, with confining pressure having a more significant impact than deviator stress. With the increase in water content, the MR of aeolian sand decreases nonlinearly, and with the increase in salt content, it exhibits a wave-shaped trend of "increasing-decreasing-increasing," which is related to the dissolution state of sodium sulfate in the soil. Based on the experimental results, a prediction model of the MR of aeolian sand was established, derived from the benchmark model, which can reflect the influence of salt content and water content on the MR, introducing them as variables within the model.

Consilience of healthcare legislation, complexity science & computational analysis

Our US Health Care System (HCS) has evolved from simple to complex and needs reform. Thus far, all legislative initiatives have failed to result in establishing a friendly, cost-effective, quality healthcare system. The question becomes, can Complexity Science (CS) and computational analytic platform modeling be used to help create better Health Care Policies (HCP) and reform our all too complex HCS? Modeling has been used in many diverse disciplines but has yet to be utilized in preemptive evaluation of major US legislative HCPs. Review of US Health Care Policy History (HCPH) viewed in the context of a Complex Adaptive System(CAS) reveals how, unanticipated historical events, politics, social, and personal leadership have tangentially shaped our US HCPs. Future construction of HCPs with the help of CS, and preemptive computational modeling (CM) techniques, will hopefully yield stronger conclusions in legislative HCP construction and advance our US HCS into one with dynamic resilience.

Probabilistic dynamic resilience quantification for infrastructure systems in multi-hazard environments

Resilience has been evolving as a key criterion for infrastructure systems as it ensures the system's dynamic performance pre-, during, and post-hazard disruptions. However, estimating these performances is challenging due to system and operation complexities, and the probabilistic dynamic nature of infrastructure system. Moreover, infrastructure systems are usually exposed to multi-hazard environments, with their own probabilistic behavior, leading to additional complexity in terms of estimating the system response and, subsequently, the overall system resilience. As such, this study develops a probabilistic resilience-centric system dynamics modeling approach to quantify infrastructure dynamic resilience based on a holistic representation of infrastructure systems under multi-hazard scenarios, whereby the probabilistic natures of both the hazards and system are incorporated. Unlike the traditional resilience quantification approaches that represent system resilience by a single value calculated after the system's full recovery, the developed model focuses on tracking the temporal evolution of system resilience along the entire period of system performance deterioration and recovery. A real-world hydropower dam, as an example for infrastructure systems, in British Columbia, Canada is used as a demonstration application to show model utility in developing resilience-guided assessment plans for infrastructure systems. Overall, the developed approach empowers the decision-makers with insights into critical operational periods, the required time to reach specified resilience targets, and the efficiency of risk mitigation measures in real-time.

Trade Network Resilience of the Global Photovoltaic Industry Chain

Based on the trade data of the global photovoltaic (PV) industry chain from 2005 to 2021, this paper constructs a global PV industry chain trade network model and analyzes its static resilience and dynamic resilience characteristics, reaching the following conclusions. The static resilience of the trade network is analyzed through aggregation, transmission, hierarchy and matching. The upstream polysilicon trade network is relatively loose, while the midstream and downstream trade networks appear to aggregate significantly. The average path length is short and the average clustering coefficient is high, indicating that the global PV industry chain trade network has high transmission efficiency and small-world characteristics. The global PV industry chain trade network is hierarchical. The degree distribution slope of the upstream polysilicon trade network is the largest and has a high level of hierarchy. Meanwhile, the global PV industry chain trade network is a heterogeneous network, which strengthens the connection between the core countries and edge countries, making the global PV industry chain trade network more resilient. Regarding the dynamic resilience of the trade network, the deterministic disturbance strategies have a greater impact on network performance than the random disturbance strategies, indicating that targeted impacts exert greater impact on the resilience of the global PV industry chain trade network. For the deterministic disturbance strategy, the interference based on intermediate centrality has a higher impact on the overall resilience of the network than the interference based on degree centrality, thus the influence of the country with strong trade radiating ability on the network elasticity is greater than that of the country with strong transit ability.

Resilience in the Face of Cancer: On the Importance of Defining and Studying Resilience as a Dynamic Process of Adaptation.

Resilience is defined as the maintenance or relatively quick recovery of mental health during and after adversity. Rather than focusing on psychopathology and its causes, resilience research aims to understand what protective mechanisms shield individuals against developing such disorders and translate these insights to improve psychosocial care. This resilience approach seems especially promising for the field of oncology because patients face stressor after stressor from diagnosis to survivorship. Helping patients to learn how they can best use the resources and abilities available to them can empower patients to handle subsequent stressors. In the past few decades, resilience has increasingly been considered as a dynamic process of adaptation. While researchers use this definition, resilience has not yet been studied as a dynamic process in the field of oncology. As a result, the potential of resilience research to gain insight into what helps protect cancer patients from developing psychopathology is limited. We discuss conceptual and methodological proposals to advance resilience research in oncology. Most importantly, we propose applying prospective longitudinal designs to capture the dynamic resilience process. By gaining insight in how cancer patients engage in protective factors, resilience research can come to its full potential and help prevent psychopathology.

Research on the dynamic resilience characteristics of carbonaceous mudstone soil-rock mixture under wet-dry cycles

Research on the dynamic resilience characteristics of carbonaceous mudstone soil-rock mixture under wet-dry cycles

Investigating soil health and resilience in small-scale agroecosystems of Mount-Lebanon

ABSTRACT In response to Lebanon’s 2019 economic crisis, agricultural activities intensified to enhance national food security, with implications for soil health. We investigated soil management practices on 26 small-scale farms in a mountainous region, focusing on reconciling static sustainability definitions with dynamic resilience concepts. Surveying farmers revealed varied adoption rates of regenerative practices: intercropping (85%), residue retention (73%), cover crops (61%), organic amendments (46%), integrated organic/mineral amendments (46%), improved irrigation (38%), conservation tillage (30%), crop rotation (19%), and organic/biological pest/disease treatment (11%). Farms were categorized as conventional (C), neutral (N), and regenerative (R) based on practices. Qualitative assessments using seven indicators yielded scores of 4.28 (C), 6.34 (N), and 7.88 (R). Quantitative analyses showed significant differences in soil organic matter percentage (1.86 C, 2.75 N, 3.32 R), soil respiration (156 C, 296 N, 380 R), and earthworm abundance (2.92 C, 4.24 N, 5.72 R). The Soil Quality Index (SQI) indicated varying soil health from 0.05 (C) to 0.49 (R). Our findings highlight the importance of adopting synergistic, sustainable soil management practices to ensure enduring agricultural productivity and safeguard soil resilience, especially in the Mediterranean region.

The Resilience of Law: A Measure to Tackle the Ineffectiveness of Law

This article proposes a new idea about the so-called “resilience of laws,” designed to protect the effectiveness of laws against any change, whether social, legal, political, economic, or otherwise. Laws may initially be effective but become ineffective afterwards, to the detriment of society, given the shock produced by those changes. As a result, the article imposes new expectations on legislators and judges, who should provide society with both effective and resilient laws. The resilience of laws comprises two features: i) static resilience, i.e., the ability of the law to resist the shock caused by a previous change, and ii) dynamic resilience, i.e., the capacity to recover the effectiveness of law once it has been shocked and to prevent a future scenario of ineffectiveness. The article explains how legislators and judges must consider previous challenging changes and shocks to prevent ineffectiveness in the future; this is aimed at having resistant laws against changes.

Endurance and Evolution: Exploring Levels of Resilience Among Indian Breast Cancer Survivors

Resilience for Indian women with breast cancer involves maintaining positivity and adaptability amid the complex challenges affecting their physical, emotional, and social well-being. However, research focused on resilience amongst this population in Indian settings is limited. Therefore, the aim of the study is to explore the experience of levels, patterns, and processes of resilience in Indian women living with breast cancer. A qualitative phenomenological approach was used to study resilience. Thirty-three participants from two hospitals underwent semistructured interviews, including survivors, women in cancer therapy, and family members. Data collected via audio recordings were analyzed using reflective thematic analysis techniques. The finding describes four themes of experience of resilience in women living with breast cancer. (a) Cancer diagnosis is a life-changing experience. Breast cancer diagnosis and therapy cause existential crisis, psychological distress, and social stigma. (b) Restoring healthy perception in an adverse event. Navigating challenges and achieving a balance between internal and external factors. (c) Types of support—the pathway to resilience. Enhanced their resilience through internal support including attributes, past experiences, sociodemographic factors, and brain fitness. External support includes family, friends, religious or spiritual advisors, medical care, role models, other cancer survivors, and comfortable environments. (d) Learning and growing from the experience. Gained a better perspective on life, ultimately resulting in a new normal and finding meaning in the experience. Data show breast cancer survivors experience dynamic resilience, highlighting the need for culturally tailored interventions and supportive avenues within cancer care by healthcare providers and policymakers.

Performance of Dynamic Retry Over Static Towards Resilience Nature of Microservice

Objectives: The main objective of this study is to enhance the flexibility of microservice-based cloud applications, so they can cope with transient or short-term failure conditions more effectively, providing a higher throughput of cloud applications as a result. Methods: The comparison is done between the existing or manual resilient patterns such as circuit breaker and retry with a dynamically proposed retry patterns using a microservice application. Findings: The short-term or transient failures in cloud based microservice applications can occur for many reasons. Examples such as Network glitches, service failures, timeouts of requests etc. These failures can bring down the entire application resulting in a cascading of failures. Resiliency patterns are used to protect these applications from failures. The widely used patterns are circuit breaker and retry, with static configurations. It is possible that the static configurations used in resiliency patterns might not support all types of failures. Hence, a dynamic approach has been proposed to satisfy all these transient failures of cloud. The analysis proves that the application efficiency is balanced in dynamic retry than the static configurations of resiliency pattern. Hence, performance can be increased up to 34.3%, which means the availability can be ensured, in transient failure cases. Very little research has been carried out on this resiliency pattern, and there are no standards available for this pattern. When comparing with the existing adaptive retry pattern the performance is increased up to 88.52%, while using a microservice application. Novelty: A dynamically modified resilient pattern is been proposed by incorporating additional parameters such as execution time to the existing parameters of the static retry pattern. This is an individual resilience pattern, which can perform independently when compared with other dynamic resilience patterns. Keywords: Dynamic retry, Request time, Static circuit breaker, Resilience, Static retry

How social-ecological systems resilience unfolds from distinct worldviews

Resilience is a critically important factor to consider for sustainably managing natural resources and social-ecological systems (SESs). Each social system will, collectively, have its own goals for how resources are perceived and the principles that underpin their resilience, and, multiple actors, individually, will approach the question with different perspectives. Here, we represent these plural perspectives in terms of worldviews, using the typologies from cultural theory. We combined the underpinning resilience principles from a previously built SES model to assess the extent to which these worldviews influence the results. Resilience was measured using a prototype Dynamic Resilience Index (DRI) validated in a previous publication. The results show the resilience of our SESs will behave in three different ways depending on each worldview used. Free markets (individualists) start the simulation period with a higher resilience. Strong governance (hierarchy) will take a higher position around 2025 and maintain the best value to the end of the simulation in 2100. The precautionary principle (egalitarians) starts with the lowest values for the DRI but ends closer to the strong governance, and it is the only worldview that increased its resilience throughout the simulation. Each worldview couples better to a particular management approach, and the SES behavior responds accordingly. The relevance for the governance of the SES is great as each worldview brings flawed contributions to resilience and wellbeing. Our research also shows that a possible negotiated solution between these worldviews would locate resilience inside the “solution space,” which is graphically determined and discussed. Adopting each worldview is then discussed in terms of contributions and problems they imply to the system's resilience.

Exploring Resilience Among Midlife and Older Sexual Minority and Heterosexual Adults: A Multidimensional Analysis.

Research on resilience in sexual minority midlife and older adults is limited. Using a multidimensional approach, this study examined trait resilience (optimism), resilience as a dynamic process (perceived control), and relational resilience (social support), analyzing their roles in physical and mental health among sexual minority adults. Analyzing data from MIDUS 2 and MIDUS Refresher, we examined a sample of 492 participants, comprising 164 sexual minority and 328 propensity-matched heterosexual individuals. Among sexual minority participants, perceived control was associated with fewer chronic conditions and optimism with lower depressed affect. Among heterosexual participants, perceived control was associated with both outcomes. Subgroup analyses found variations, particularly among lesbian and bisexual women. Resilience measures were not associated with the health outcomes for gay or bisexual men. This study highlighted the complex roles of trait resilience and dynamic resilience processes in association with health outcomes among sexual minority midlife and older adults across diverse subgroups.

Novel Perspectives on Environmental Dynamic Resilience: Adapting Urban Water Systems to a Changing Climate

Novel Perspectives on Environmental Dynamic Resilience: Adapting Urban Water Systems to a Changing Climate

Analysis of multi-modal public transportation system performance under metro disruptions: A dynamic resilience assessment framework

The well-functioning multi-modal public transportation systems play crucial roles in reducing traffic congestion, alleviating environmental pollution, and improving mobility. There are variants of disruptions that may impede the smooth functioning of public transportation systems and challenge their normal operations. It is essential to develop resilient multi-modal public transportation systems, and a reasonable resilience assessment framework serves as the foundation for developing such systems. In this paper, we propose a resilience assessment framework based on performance-based measurement metrics. We develop a dynamic simulation procedure that considers the impacts of disruptions on passenger choices of path and departure time. By incorporating these features into the simulation procedure, we can effectively model the variations of passenger flow under disruptions. Finally, to demonstrate the proposed resilience assessment framework and dynamic simulation procedure, the multi-modal public transportation system in Beijing is considered as a case study. The results reveal that the system exhibits good resistance and recovery capabilities, but it lacks robustness. Additionally, we discuss the effects of downtime, bus frequency, bus bridging services, and proportions of commuters on resilience, which lead to several valuable policy implications.

Structure and resilience changes of global liquefied natural gas shipping network during the Russia–Ukraine conflict

Research on the structure and resilience of marine networks that transport liquefied natural gas (LNG) can inform policies to secure global energy supplies. Since the 1990s, geopolitical risks have been crucial in the LNG supply chain. However, existing research inadequately addresses the impact of major geopolitical events, such as the Russia–Ukraine conflict, on LNG maritime networks. This study utilized 2021–2022 Automatic Identification System (AIS) data to create a global LNG maritime network, including ports and chokepoints, to assess changes in structure and resilience during the Russia–Ukraine conflict. We also simulated changes in network resilience under various attack scenarios. The findings indicate that the Russia–Ukraine conflict has impacted the direction and volume of LNG flows. Structural changes were observed, including changes in the weighted degree of nodes and the composition of port communities. In 2022, the network demonstrated dynamic resilience, invulnerability, and recoverability changes, with noticeable self-healing properties. However, these capabilities were lower than those in 2021. Intentional attacks on maritime chokepoints, such as the Strait of Malacca, result in a much faster decline in network resilience than random attacks. These findings suggest that the Russia–Ukraine conflict has altered the resilience and structure of LNG maritime networks. Countries heavily dependent on LNG should prioritize expanding their LNG-receiving terminals and diversifying their LNG sourcing strategies.