Resilience Performance Research Articles

The impacts of digital and learning orientations on supply chain resilience

PurposeThis study quantitatively investigates the impacts of digital and learning orientations on supply chain resilience (SCR) and firm performance (FP), aiming to fill the gaps in understanding their specific impacts in the context of Industry 4.0 developments and supply chain disruptions.Design/methodology/approachThis study utilized survey techniques and structural equation modelling (SEM) to gather and analyse data through a questionnaire based on a seven-point Likert scale. Hypotheses were formulated based on an extensive literature review and tested using Amos software.FindingsThe study confirms SCR’s significant impact on FP, aligning with existing research on resilience’s role in organizational competitiveness. This study uncovers the nuanced impacts of digital and learning orientations on SCR and FP. Internal digital orientation (DOI) positively impacts SCR, while external digital orientation (DOE) does not. Specific dimensions of learning orientation – shared vision (LOS), open-mindedness (LOO) and intraorganizational knowledge sharing (LOI) – enhance SCR, while commitment to learning (LOC) does not. SCR mediates the relationship between DOI and FP but not between DOE and FP.Research limitations/implicationsThis research focuses on digital and learning orientations, recommending that future studies investigate other strategic orientations and examine the specific contributions of various digital technologies to SCR across diverse contexts.Practical implicationsThe empirical findings emphasize the significance of developing internal digital capabilities and specific learning orientations to enhance SCR and FP, aligning these initiatives with resilience strategies.Originality/valueThis study advances knowledge by distinguishing the impacts of internal and external digital orientations and specific learning dimensions on SCR and FP, offering nuanced insights and empirical validation.

Evaluating the Dynamic Comprehensive Resilience of Urban Road Network: A Case Study of Rainstorm in Xi’an, China

Rainstorms and flooding are among the most common natural disasters, which have a number of impacts on the transport system. This reality highlights the importance of understanding resilience—the ability of a system to resist disruptions and quickly recover to operational status after damage. However, current resilience assessments often overlook transport network functions and lack dynamic spatiotemporal analysis, posing challenges for comprehensive disaster impact evaluations. This study proposes an SR-PR-FR comprehensive resilience evaluation model from three dimensions: structure resilience (SR), performance resilience (PR), and function resilience (FR). Moreover, a simulation model based on Geographic Information System (GIS) and Simulation of Urban MObility (SUMO) is developed to analyze the dynamic spatial–temporal effects of a rainstorm on traffic during Xi’an’s evening rush hour. The results reveal that the southwest part of Xi’an is most prone to being congested and slower to recover, while downtown flooding is the deepest, severely affecting emergency services’ efficiency. In addition, the road network resilience returns to 70% of the normal values only before the morning rush the next day. These research results are presented across both temporal and spatial dimensions, which can help managers propose more targeted recommendations for strengthening urban risk management.

Risk Management As A Determinant Of Indonesian Banking Financial Performance: A Systematic Literature Approach

This study aims to understand how risk management affects financial performance in the Indonesian banking sector. In a business environment full of uncertainty, especially in the banking sector, risk management is key to ensuring financial stability. Systematic Literature This review (SLR) analyzes the findings of articles published between 2016 and 2022, focusing on the main risks faced by banks: credit risk, market risk, liquidity risk, and operational risk. The selected articles were obtained from leading journal sources in the fields of economics and business. The literature selection process includes the stages of identification, screening, and thematic analysis to identify trends and correlations between risk management and financial performance indicators such as Return on Assets (ROA) and Return on Equity (ROE). The results of the study indicate that credit risk and operational risk have the most significant impact on financial performance, while market and liquidity risks show varying effects depending on the market situation and internal conditions of the bank. These findings underline the importance of a proactive approach to risk management, including the implementation of integrated risk mitigation policies and the use of effective internal controls. Thus, risk management not only serves as a safeguard against potential losses but also as a support for business sustainability. This study recommends further research to explore new risks such as cyber threats and regulatory changes, which are increasingly relevant in the context of the modern banking industry. These results are expected to provide insights for financial practitioners and banking leaders in improving the resilience and financial performance of their companies.

Performance evaluation of concurrent supply chain resilience strategies

Despite the growing research on supply chain resilience (SCR) strategies, a comprehensive performance assessment for implementing multiple strategies simultaneously, considering both positive and negative synergistic effects, is still lacking. Given the complex nature of resilience, it is important for any such assessment to incorporate a multi-dimensional view of resilient behavior. To help address this gap in the literature, we propose an extended slack-based super-efficiency data envelopment analysis for evaluating the performance of SCR strategies when they might be utilized concurrently. The new approach characterizes resilience performance by considering the cost of implementing a set of resilience strategies (resilience cost) as an input to the assessment process, and by considering (1) the resulting cost of the disruption, (2) the impact on the service level, and (3) the associated recovery time as outputs. Taken together, these metrics allow for assessing the combined performance of each candidate set of resilience strategies under their synergistic effects. This new and comprehensive approach for resilience assessment is carefully incorporated into a framework that ranks different subsets of relevant strategies for any given supply chain, according to their relative effectiveness across a variety of different disruption scenarios. The proposed decision framework is able to help decision-makers identify the best ensemble of resilience strategies available. A real-world case study is used to illustrate the significant potential of the framework, and a number of important managerial insights are provided to help decision-makers more effectively analyze and implement their own optimal subsets of SCR strategies, particularly in the presence of network quality or budgetary constraints. Theoretical implications include advancing the understanding of multi-strategy interactions in SCR, while practical implications focus on guiding SC managers in selecting and implementing the most effective resilience strategies under various conditions.

Psychological Resilience and Athletic Performance among Injured Athletes in a University in Henan, China

This study assessed the extent to which student athletes employed psychological resilience during injury recovery and examined its impact on athletic performance. The findings indicate that psychological resilience was perceived by respondents to be applied to a very high extent, particularly in the areas of social support and psychological well-being. Respondents rated social support as the most essential factor, followed by psychological well-being, coping strategies, personality traits, and return-to-sport decision-making. Athletic performance was generally rated at a very high level, especially in terms of return-to-play readiness and physical recovery. Statistical analysis revealed that while psychological resilience in coping strategies, social support, and personality traits showed no significant correlation with athletic performance, psychological well-being and return-to-sport decision-making were positively correlated with improved physical recovery, functional movement, and readiness to return to sport. These results highlight the importance of psychological well-being in supporting athletic recovery, suggesting that resilience-building strategies focused on well-being can positively influence performance outcomes in injured athletes.

A 3D index for measuring economic resilience with application to modern financial crises

AbstractThis paper proposes a vector index R composed of monotonous functions capturing three theoretical aspects (3D) of economic resilience (engineering, ecological, evolutionary) and performs an analysis of GDP data of 200 countries worldwide for the period 1960–2020 and 15 economic crises (shocks). The empirical analysis, first, reveals that economic resilience appears positively related to gross value added (GVA), employment, education, sectorial structure and diversification, agricultural production, tax revenue and natural resources, whereas it is negatively associated with urbanization degree, primary sector specialization and trade activity. Also, it shows that the global economy shifted to a less resilient performance through time, and it reveals the pros and cons of the continents' performance in economic resilience, highlighting a relative sensitivity of European countries against the available shocks and relatively higher resilience of Asian and African countries. Finally, the analysis of transition probabilities reveals the 2008 economic crisis as the only shock with significant transitions among different states of resilience, providing insights into the insignificant geographical scale of previous shocks in the global economy. Overall, in the complex conceptualization and measurement framework of economic resilience, the proposed 3D index contributes to a multilevel consideration of diverse theoretical aspects of this concept, provides empirical insights into the global economy's resilience and facilitates better management of economic resilience‘s computational complexity.

Analysis of Strengthening Beam Structure Case Study on Food Court Building of Ruang Terbuka Hijau (RTH) Project at Alun-Alun Kota Kediri

The Green Open Space (RTH) construction in Kediri City includes a food court building utilizing reinforced concrete structures. During construction, cracking issues occurred in several beam structures due to the inability to bear the design loads effectively, necessitating a strengthening approach. This study aims to develop and evaluate a strengthening method for cracked beam structures by employing concrete jacketing. The specific objective is to improve the structural integrity and load-bearing capacity of these beams to ensure the durability and safety of the building. A concrete jacketing technique was used to reinforce the cracked beams, utilizing K-300 ready-mix concrete and additional reinforcing steel. The study involved structural analysis to assess the load-bearing capacity before and after jacketing, and on-site evaluation was conducted to monitor the method's effectiveness. The findings indicate that the jacketing method significantly increased the beams' bending moment capacity and overall structural strength, successfully addressing the cracks and enhancing the beams' ability to bear the intended loads. The reinforced beams showed improved load distribution and structural resilience performance. Concrete jacketing proved to be an effective method for strengthening the cracked beam structures in the Green Open Space project. The study provides valuable insights for similar future construction projects, suggesting that concrete jacketing can be a reliable reinforcement technique to enhance the durability and safety of building structures.

How to improve supply chain sustainable performance by resilience practices through dynamic capability view: Evidence from Chinese construction

This study explores the relationship between supply chain resilience (SCR) and sustainable supply chain performance (SSCP) within the context of the Chinese construction industry, a sector known for its complexity and vulnerability to disruptions. Drawing on data from 525 construction companies, the research investigates how SCR directly influences SSCP and examines the mediating role of dynamic capabilities in this relationship. The results highlight those dynamic capabilities, specifically the ability to seize and reconfigure, serve as critical mediators in the resilience-sustainability relationship while sensing does not have a significant mediating effect. This suggests that in highly dynamic environments like China's construction sector, focusing on capturing opportunities and reconfiguring resources is more effective for achieving sustainable outcomes than relying solely on sensing capabilities. This finding contributes to the growing body of knowledge by providing a nuanced understanding of how resilience practices can be leveraged to promote long-term sustainability.

Supplier Relationship Management and Operational Performance: The Mediating Role of Supply Chain Resilience

This article examines the mediating role of supply chain resilience on the relationship between supplier relationship management and operational performance. The research utilized positivist philosophical assumptions and a quantitative research approach. The study used a sample of 179 food and beverages companies in Ghana to address the research objectives. Data was analyzed using descriptive statistics and structural equation modeling. The findings of the study revealed that supplier relationship management positively impacts the operational performance of the food and beverages industry in Ghana. Additionally, the study found that supply chain resilience plays a significant role in enhancing the operational performance of firms within the food and beverages industry in Ghana. Finally, the analysis of the study concludes that supply chain resilience further plays a significant mediating role in increasing the impact of supplier relationship management and operational performance of the food and beverages industry. The study is significant because the findings would help expand existing literature on supplier relationship management, resilience, and operational performance, thereby offering valuable insights for theory, practice, and policy development.

Learning by Visualize a Nurse-Led CCOS Using the Functional Resonance Analysis Method.

Quality improvements (QIs) in dynamic and complex health care contexts require resilience and take variability into account in quality improvement. The Functional Resonance Analysis Method (FRAM) helps us understand resilience and gain insight into (un)desirable variability in the complex system of daily practice. We explored how using FRAM in the Deming cycle of a QI project can help professionals and researchers learn from, reflect upon, and improve complex processes. We used FRAM in a Dutch hospital to study a QI: Critical Care Outreach Service (CCOS). The aim was to use FRAM before and after implementation to create a FRAM model and reflect to health care professionals the mismatch between Work As Imagined (WAI) and Work As Done (WAD). The WAI FRAM model was co-created with professionals before the implementation of CCOS. We used descriptions of tasks and processes for ICU nurses and verified them in 30-minute semistructured interviews (N = 2). WAD was created by input of semistructured interviews with key professionals in CCOS (N = 21) and 3 nonparticipant observations of trained CCOS nurses. We validated WAD in 2 dialogue sessions with key professionals (N = 11). Data collection continued until saturation. Juxtaposing the WAI and WAD models showed that WAD contained additional functions and highlighted unexpectedly complex functions. Reflecting on the application of FRAM with health care professionals revealed opportunities and challenges, especially time investment. FRAM helps professionals outline processes and tasks (WAI), learn from, and reflect upon their daily practice (WAD). FRAM models help professionals identify variability proactively to improve practices that enhance resilient performance.

The interplay of resilience, stress, mental wellbeing and task performance: Implications for sustainable workplaces

Understanding relationships between stress, resilience, mental wellbeing, and task-performance is critical for success in today’s sustainable workplaces. Thus, we aimed to analyse and develop a management framework to deal with this criticality. Inspired by Salutogenesis theory – prioritizing positive variables over the absence of negative ones, our emphasis was on resilience and mental wellbeing for stress management and improving task performance. Data from 445 employees was collected by a survey instrument employing standardised scales. Reliability and validity of constructs were established through the measurement model, while the structural model tested the strength of the relationships. Low stress and high resilience were identified as having a strong effect on mental wellbeing, which in-turn improved task-performance. This study highlights that resilience and mental wellbeing, in addition to stress management, significantly improves task performance for sustainable workplaces.

Psychological resilience and performance under pressure: a study of elite badminton players - a systematic review

Psychological resilience is a critical factor influencing athlete performance in many sports, including badminton. This study aims to systematically review the existing literature to understand the relationship between psychological resilience and elite badminton athlete performance. The research background details the importance of psychological factors in the context of sport, particularly under competitive pressure. Focusing on elite badminton players, the study aimed to identify consistency and variation in previous research findings and detail the practical implications for athlete training and coaching. Research materials and methods included a systematic design with explicit inclusion and exclusion criteria. A thorough literature search was conducted to identify relevant studies that met the inclusion criteria. A careful study selection process was completed, and data were extracted for systematic analysis. Data analysis methods used included synthesizing findings from multiple studies, potentially using meta-analysis where appropriate. The results present the main findings regarding the relationship between psychological resilience and the performance of elite badminton athletes. The analysis of findings from multiple studies highlights the consistency in this relationship while acknowledging the variation that may occur due to differences in competitive context and athlete characteristics. The practical implications of these findings are explained in the context of training and coaching badminton athletes to enhance their psychological resilience under competitive pressure.The research conclusions highlight the vital contribution of this study to understanding psychological factors in badminton. This research provides a foundation for developing more effective training strategies and coaching of athletes that can enhance their psychological resilience, thereby improving their performance at the elite level. As such, this study provides scientific insights and practical guidance for the potential development of elite badminton athletes under competitive pressure.

Digital retailing practices for triggering physical retailers’ bounce-back and bounce-forward performance against a great shock: evidence from the COVID-19 pandemic

This paper explores the mapping from specific digitalization practices to specific resilient performance against a great shock. Based on an adapted structure–conduct–performance framework, this paper hypothesizes by theoretically analyzing how the pre-shock establishment of digital retailing practices could trigger physical retailers’ bounce-back and bounce-forward performance against the COVID-19 crisis. Using a difference-in-differences strategy, the hypotheses are examined with a sample including 549 observations of 50 Chinese listed retailers from the first quarter of 2018 to the third quarter of 2020. The empirical results mainly indicate the following binary findings. First, regardless of the differences in triggering bounce-back performance, different digital retailing practices are found to be effective in triggering physical retailers’ bounce-forward performance against the COVID-19 crisis. This somewhat addresses the concern about the temporality of digitalization-enabled resilience by revealing the generality across digital retailing practices in the sense of triggering resilient performance. Second, it is shown that physical retailers’ bounce-back performance at a specific stage of the COVID-19 crisis could only be triggered by digital retailing practices that coincidentally apply to the shock-induced market structure changes at the stage. The results emphasize each digitalization practice’s individuality in triggering resilient performance. This justifies the non-negligibility of the direct mapping from specific digitalization practices to specific resilient performance in digitalization-enabled resilience evaluation.

Resilient health care performance in the real world: fixing problems that never happened

BackgroundStaff in health systems everywhere have exhibited flexibility and a capacity for improvisations during, and in response to, the COVID-19 pandemic. Looking to other examples of such resilient behaviours outside of those induced by the pandemic is instructive for those involved with researching or understanding change, or making health systems improvements.MethodsHere, we synthesise and then assess the value of eight case studies of in situ resilient performance from Canada, Sweden, Japan, Belgium, the United Kingdom, Norway, the United States and Brazil. The cases are divided into four categories: responsiveness to a crisis; adaptiveness over time; local adoption in accommodating to a top down, national policy change; and the consequential outcomes of an intervention.ResultsThe cases illuminate the resourcefulness of translational and social researchers in examining such behaviours and practices. More than that, they also foreground the ingenuity and adaptive capacity of staff on-the-ground who continually anticipate, respond and adapt to make systems work and provide continuous care in the face of many challenges, including resource deficiencies, policy misalignments, and new technologies, policies and procedures that need to be integrated into local workflows. Front line clinicians make care systems work, pre-empting issues and sorting out problems before they occur or as they arise.ConclusionsA key lesson amongst a range of findings is that, rather than focusing on shiny new tools of change (checklists, frameworks, policy mandates), it is much more insightful and satisfying to deeply apprehend care at the sharp end, where clinicians deliver care to patients, understanding how everyday work is executed. This, rather than the Health Ministry, the Boardroom, or the Management Consultant’s office, is where and how change is being enabled, and where street level actors solve problems, thwart issues in advance, and constantly avoid pitfalls.

A mathematical model for potash supply chain management with a strategic logistics perspective

Abstract Accepted by: M. Zied Babai This paper introduces a novel Integer Linear Programming model designed to enhance the efficiency and sustainability of the potash supply chain, a crucial element supporting global agriculture. The developed mathematical optimization model focuses on fleet selection (private/outsource) and incorporates the concept of ‘inter-warehouse collaboration’, which addresses key logistics considerations. Integrating mining, processing, storage and transportation, the model encompasses decision variables like extracted carnallite amount, production, storage levels and shipped potash amount. Illustrated through a case study on the Arab Potash Company in Jordan, the results showcase the model’s proficiency in meeting local and international market demands. The model ensures resilient and sustainable supply chain performance by emphasizing logistics optimization, particularly in fleet selection. The study attains the highest ‘warehouse-to-warehouse’ support for Standard and Granular potash types in the international demand scenario, contributing to efficient production planning and fleet management. In conclusion, the presented mathematical model is a valuable tool for potash industry stakeholders, offering insights for strategic decision-makers involved in production planning and fleet management.

Structural resilience disparities in regional city networks under the influence of Typhoon Fitow and COVID-19

The integration of regional city networks plays a pivotal role in the regional development. Assessing and analyzing the structural resilience of these networks holds significance in enhancing regional comprehensive disaster prevention. This study focuses on the Yangtze River Delta, examining its regional city networks encompassing information, economic, transportation, and innovation domains. Utilizing the social network analysis, projection pursuit model based on the genetic algorithm, coupling coordination degree model, coefficient of variation and spatial Gini coefficient, we scrutinized the structural resilience and evolution difference of these networks under different disasters. We found that the structural resilience of economic and transportation networks that depend on infrastructure construction are more limited by geographical distance, and information and innovation networks with weaker physical dependence have stronger structural resilience. The impact of Typhoon Fitow on the structural resilience of individual networks was mainly concentrated in coastal affected cities, while the impact after COVID-19 was mainly in marginal cities. The spatial pattern of the structural resilience of multiple networks shifted from low level equilibrium to agglomeration development. Finally, nodes were identified into three types according to the resilience performance. This research offers a scientific foundation for quantifying regional resilience and formulating network optimization strategies.

Enhanced removal of recalcitrant naphthenic acids through electro-cocatalytic activation of peracetic acid: Synergistic effects of multiple factors

Herein, a peracetic acid (PAA)-based electro-cocatalytic system (EC/PAA/Fe(III)) has been established for efficient degradation of 1-adamantanecarboxylic acid (ACA), which is a typical model chemical for naphthenic acids (NAs) that are abundantly present in petroleum industrial wastewater. The electric field greatly boosted the regeneration of Fe(II) to activate PAA in the system, resulting in 99.8 % removal for ACA within 20-min reaction time, with kobs of 0.3451 min−1. Results of quenching and chemical probe experiments verified the production of •CH3, CH3C(O)O•, •OH and FeIVO2+, in the EC/PAA/Fe(III) system with the FeIVO2+ identified as the primary contributor to ACA removal. The H2O2 present in the PAA solution enhanced the activation of PAA by promoting Fe(II) generation, thereby significantly improving ACA degradation efficiency. The ACA degradation byproducts and pathways were identified using the results of high resolution mass spectrometry analysis and density functional theory (DFT) calculations. Decarboxylation, hydroxy substitution, and carbonyl substitution reactions were predominant oxidation pathways of ACA decontamination. The EC/PAA/Fe(III) system demonstrated resilient degradation performance under the influence of anions and the natural water matrix for effective degradation of the commercial NAs mixture. Overall, the EC/PAA/Fe(III) system has been established with effectiveness and reliability for future remediation of NAs in petroleum industrial wastewater.

Time-evolving traffic resilience performance forecasting during hazardous weather toward proactive intervention

Transportation systems experience significant disruptions and loss during hazardous weather events, exhibiting great needs of timely intervention to effectively improve the resilience of the affected traffic systems. An informed and science-based proactive intervention strategy depends on accurate forecasting of the resilience performance of traffic systems with essential lead time during hazards. A new resilience performance forecasting methodology at both global and local scales is proposed for traffic networks under natural hazards by addressing unique challenges such as scarcity and time-evolving nature of hazard-specific data. The proposed methodology consists of two modules: the local traffic resilience performance short-term forecasting module based on the modified diffusion convolutional recurrent neural network (DCRNN) and transfer learning techniques, and the global traffic resilience performance forecasting module integrating percolation-based robustness assessment and SIR-based congestion propagation modeling. A case study of an urban traffic network during a major snowstorm hazard is conducted as a demonstration, followed by the feasibility investigation to guide proactive intervention during hazards. It is found the proposed methodology can forecast the time-evolving traffic resilience performance with good accuracy at both global and local scales. With sufficient lead time for the forecast, it bears promising potential to assist the stakeholders to make informed and timely decision about possible proactive intervention by providing key information to help identify the optimal moments and individual strategic links for possible intervention.

Investigating the impact of digital counseling platforms on high school students' well-being for enhancing emotional resilience and academic performance

The urgency of using digital platforms in guidance and counseling services is increasing along with the need for flexible and accessible support for high school students, especially in dealing with academic pressure and emotional challenges. Digital approaches provide ease of access for students, but their effectiveness on emotional well-being and academic performance still needs to be explored. This study used qualitative methods with semi-structured interviews to explore the experiences of students who have used digital counseling platforms. Results showed that the digital platform facilitated access to counseling services and helped students manage academic stress and anxiety. Positive impacts were also seen in improved academic performance. However, the study revealed that the interpersonal relationship between counselors and students was not as strong as that established in face-to-face counseling sessions. Nonetheless, the platform offers a significant solution in supporting students' emotional and academic well-being, especially in situations with limited face-to-face access. The results of this study emphasize the importance of developing digital counseling services that not only prioritize flexibility, but also maintain the quality of emotional connection in the counseling process.

Hybrid Screen Printable Electrolyte for Large‐Scale Flexible Electrochromic Display Production

AbstractThis study presents the development of a novel screen printable quasi‐solid polymer electrolyte (p‐QSPE) for Electrochromic Displays (ECDs) applications. p‐QSPE is composed of three key components: polyvinylidene fluoride (PVDF), a high‐dielectric constant polymer that ensures high ionic conductivity in solid‐state; glyceril propoxy triacrylate (GPTA), a UV‐cross‐linkable monomer that provides structure and durability for overprinting; titanium dioxide (TiO₂) nanoparticles, which modulate the electrolyte's rheological properties for screen printing; reducing the solvent (PC:EC) content to only 35.90 wt.%. Electrochemical Impedance Spectroscopy (EIS) revealed that this well‐designed formulation achieved an ionic conductivity of 1.17 × 10−3 S cm−1 at room temperature, surpassing the threshold required for commercial applications. Moreover, p‐QSPE facilitated the production of fully screen printed ECDs in an industrial printing line, streamlining their production process and achieving an optimal balance between printability, overprint resilience, and device performance. Operational tests for the ECDs showed fast switching times (<6 s for t90 and <2 s for t75) across a wide temperature range (−20 °C to 80 °C). Additionally, the electrolyte demonstrated low charge consumption (2.10 ± 0.11 mC cm−2) and a lifespan exceeding 10 000 cycles. These results highlight the potential of p‐QSPE as a screen printable, high‐performance electrolyte, capable of advancing ECD manufacturing by enabling the production of fully screen‐printed, performing ECDs.