Terms Of Resilience Research Articles

Doing good right: building resilience through donations during the pandemic

PurposeWhile researchers recognize the significance of philanthropic donations in disaster relief and recovery, the benefits that firms derive from such donations remain unclear, particularly when firms are adversely impacted by the disaster. To address this gap, this study seeks to elucidate the impact of various donation strategies on firm resilience in the context of the COVID-19 pandemic.Design/methodology/approachBased on the hand-collected data on donations, the authors employ ordinary least squares regressions to investigate the effectiveness of various donation strategies – including type, timing and location – in enhancing firm resilience in terms of the severity of stock price losses during the pandemic. To address potential endogeneity concerns, the authors use a two-stage least squares regression with instrumental variables.FindingsThis study finds robust evidence that certain donation strategies are more effective at mitigating stock price losses during the pandemic. Specifically, the authors find that in-kind donations (compared to monetary ones), earlier donations (compared to later ones) and donations targeting severely impacted areas (Hubei province vs. other places) are more effective methods to reduce the severity of stock price losses.Originality/valueThis study points out an alternative mechanism through which donations influence firm resilience during a crisis context and provides important managerial implications for firms to better engage in disaster donations.

The conceptual substantiation of the terms resilience, hardiness, psychological resilience, vitality in socio-psychological research

The article provides a theoretical analysis of the terms resilience and hardiness in the English-language literature. The history of formation, definitions of terms and factors that form their basis are highlighted.
 The author analyzes the similarities and differences between these concepts and provides their correlation, namely, resilience is a descriptive term and is understood as a process that includes experiencing significant difficulties (misfortune can be realized in many different ways) and a positive outcome despite adversity (e.g., avoiding psychological disorder, positive competence in various life tasks); while hardiness is an explanatory term - an individual psychological quality that contributes to and helps explain resilience.
 It has been determined that many factors can contribute to resilience, but when it comes to internal factors of a person, resilience is the key element.The article analyzes the concepts of "psychological resilience", "hardiness ", "vitality" in the Ukrainian-language literature. It is determined how these concepts relate to each other, as well as how these concepts are synonymous with the concepts of resilience and hardiness.The author shows the importance of the internal potential of the individual and external resources for the development of personality resilience which is the basis of the modern resilience approach.The problem of developing the resilience of individuals in extreme conditions of military conflict is considered from the standpoint of the resilience approach, highlighting internal and external resources.

Examine the Role of Psychological Resilience in Predicting Social and Professional Performance in Patients with Diabetes, Multiple Sclerosis, and Rheumatism.

Psychological resilience is one of the most important factors that help a person adapt to the difficulties of life. The present study aimed to examine the role of psychological resilience in the social and professional functioning of patients with multiple sclerosis (MS), diabetes mellitus, and rheumatoid arthritis (RA). A total of 301 individuals (58.8% female) participated in the study. Approximately 44% of participants were diagnosed with diabetes, 28% with rheumatoid arthritis, and around 25% with multiple sclerosis. Two psychometric measures were used to achieve the objectives of the present study: the Psychological Resilience Scale and the Performance of Social and Occupational Functions Scale. Regression analyses were used to examine the amount of variance predicted by psychological resilience in terms of the following variables of social and professional functions: relationships, communication, social activities, entertainment activities, life skills, employment-based job functions, and unemployment-based job functions. Results revealed that psychological resilience positively predicted social and occupational functions among all illnesses. Resilience best predicted social and professional functions among MS patients, followed by diabetes patients and RA patients. These findings highlight the role of psychological resilience in improving the social and occupational performance of patients with chronic illnesses and the positive relationship between employment and resilience.

A measure of port-level resilience to shocks in commercial fisheries

Marine and aquatic environments provide a range of tangible and intangible benefits to human communities. Ecosystem-based approaches to fisheries management, particularly those that characterize ecosystems as socio-ecological in nature, are often intended to capture and incorporate these benefits into integrated monitoring and management. A central conceptual concern of both the biophysical and socioeconomic elements of these integrated ecosystem approaches is the notion of resilience. Although system resilience to perturbation has been discussed and applied in ecological contexts, its use in social and economic contexts is less well developed within integrated ecosystem research and retains distinctive differences from its use in ecological contexts. Conceptions of community resilience in terms of commercial fishing and marine ecosystems benefit from empirical analyses. Accordingly, the research here develops a metric of port-level commercial fishing resilience, adapted from approaches in regional science and economic geography, to analyze US West Coast fishing ports in terms of their sensitivities to ecological and management shocks during a thirty year period. In doing so, resultant analyses suggest both the limitations of these approaches and the ways in which they can be applied within the context of ecosystem-based fishery management.

Predicting road flooding risk with crowdsourced reports and fine-grained traffic data

The objective of this study is to predict road flooding risks based on topographic, hydrologic, and temporal precipitation features using machine learning models. Existing road inundation studies either lack empirical data for model validations or focus mainly on road inundation exposure assessment based on flood maps. This study addresses this limitation by using crowdsourced and fine-grained traffic data as an indicator of road inundation, and topographic, hydrologic, and temporal precipitation features as predictor variables. Two tree-based machine learning models (random forest and AdaBoost) were then tested and trained for predicting road inundations in the contexts of 2017 Hurricane Harvey and 2019 Tropical Storm Imelda in Harris County, Texas. The findings from Hurricane Harvey indicate that precipitation is the most important feature for predicting road inundation susceptibility, and that topographic features are more critical than hydrologic features for predicting road inundations in both storm cases. The random forest and AdaBoost models had relatively high AUC scores (0.860 and 0.810 for Harvey respectively and 0.790 and 0.720 for Imelda respectively) with the random forest model performing better in both cases. The random forest model showed stable performance for Harvey, while varying significantly for Imelda. This study advances the emerging field of smart flood resilience in terms of predictive flood risk mapping at the road level. In particular, such models could help impacted communities and emergency management agencies develop better preparedness and response strategies with improved situational awareness of road inundation likelihood as an extreme weather event unfolds.

Resilience of Fisherman In Industry Development Ikan Asap Households In Bengkulu, Indonesia

One of the productive economic growth sectors that serves as the foundation for Bengkulu Province's coastal development program is the development of fishermen's businesses through the home industry. The goal of this study was to investigate the features of the Ikan Asap home industry as well as to examine the resilience of fishermen in the Ikan Asap home industry in Bengkulu Province. The descriptive analysis method is used in the investigation. From the last 5 (years), precisely from 2018 to 2022, the innovation has been tested using the publish or perish application. Then VOSviewer is used to visualize bibliographies or data sets in order to identify themes that still have research opportunities. The study's findings indicate the peculiarities of the Ikan Asap home industry for fishermen, both boat owners and crew members. The primary element in the Ikan Asap industry is fresh fish, but fish that are not sold fresh are occasionally used as raw materials. The equipment used is still basic and privately owned. Because the level of marine Ikan Asap production is relatively low, namely an average of 10 kg per production, capital availability is an impediment, and Ikan Asap production is sold to the market and collectors. On the market, sell. The level of resilience of fishermen in the growth of home industries for the production aspect is 17.13 in the weak category, 16.75 in the weak category, and 6.44 on average for capital or credit institutions. Category is lacking. In the medium group, the average level of resilience in terms of market institutions is 7.88. Fishermen in extension institutions have a medium level of resilience, with an average of 7.66.

Integrated techno-economic and life cycle assessment of shared circular business model based blockchain-enabled dynamic grapevoltaic farm for major grape growing states in India

Grape farms face many climate risks during cultivation, and regulatory and sustainability-related challenges after the harvest. To support the farmers, Government of India (GoI) aims to promote adaptive capacity throughout the grape value chain by improving resilient infrastructure. This paper proposes a novel Grapevoltaics farm design based on shared circular business model principles where resources like energy, water, and land are shared between grape farmer and solar plant operator. The resilience (in the near term) and sustainability (in the long term) of such multifunctional systems may be influenced by the decisions taken by the involved stakeholders in terms of resource sharing and support extension when facing climate risk events. To address stakeholder engagement, the proposed Grapevoltaic farms leverage blockchain smart contract, making them Blockchain-enabled Grapevoltaics (BCeDGVs). To understand the feasibility, 1-ha Grapevoltaic farm is modeled for 12 grape growing regions accross India and analysed using Resilience Performance, Life Cycle Analysis, and Techno-Economic (RePLiCATE) approach. The results show that the solar panels provide resilience support based on the rules of engagement written on blockchain smart contracts. The BCeDGVs has 1295.28–2908.08 kWh/kWp/day electricity generation potential across India with a lifetime average of 15,380.65 MWh even after considering the national average photovoltaic degradation rate of 1.9%. The observed grape yields vary between 2 and 31.25 Mt/ha with an average yield of 45 Mt/ha (table grape) and 40 Mt/ha (wine grape), and the rainwater harvest varies between 1.23 to 7.32 Ml. The economic assessment revealed that grape farmers and photovoltaic plant operators across India under BCeDGVs could have revenues ranging between INR 56.25 to 225 million and INR 29.48–66.19 million, respectively, suggesting to relook into the feed-in tariffs and crop selling prices. The environmental sustainability results suggest that 1.984 ha/MW land-use mitigation and 12–100% reduction in groundwater dependency are possible while maintaining the minimum and maximum national average global warming potentials as 0.074 and 0.088 kg CO2-eq./kg grape, respectively. Overall, the integrated assessments find that the BCeDGVs may promote low carbon, climate resilient grape cultivation in India and has possible integration with GoI's GrapeNet platform. This study highlights a new research direction symbiotic grape farms and energy networks.

Explaining resilience model of historical bazaars using artificial neural network

PurposeHistorical bazaars, a huge treasure of Iranian culture, art and economy, are places for social capital development. Un-supervised management in past decades has led to the demolition and change of historical bazaars and negligence of its different aspects. The present research aims to investigate the resilience of historical bazaars preserving their identity and different developments.Design/methodology/approachThe artificial neural network (ANN) has been applied to investigate the resilience of historical bazaars. This model consists of three main networks for evaluating the resilience of historical networks in terms of adaptability, variability and reactivity.FindingsThe ANN proposed to evaluate the resilience of historic bazaars based on the mentioned factors is efficient. By calculating mean squared error (MSE), the model accuracy for evaluating adaptability, variability and reactivity were obtained at 7.62e-25, 2.91e-24 and 1.51e-24. The correlation coefficient was obtained at a significance level of 99%. This indicates the considerable effectiveness of the artificial intelligence model in modeling and predicting the qualitative properties of historical bazaars resilience.Originality/valueThis paper clarifies indexes and components of resilience in terms of adaptability, variability and reactivity. Then, the ANN model is obtained with the least error and very high accuracy that predict the resilience of historical bazaars.

Assessing the impact of wildfires on water quality using satellite remote sensing: the Lake Baikal case study

Lakes have been observed as sentinels of climate change. In the last decades, global warming and increasing aridity has led to an increase in both the number and severity of wildfires. This has a negative impact on lake catchments by reducing forest cover and triggering cascading effects in freshwater ecosystems. In this work we used satellite remote sensing to analyse potential fire effects on lake water quality of Lake Baikal (Russia), considering the role of runoff and sediment transport, a less studied pathway compared to fire emissions transport. The main objectives of this study were to analyse time series and investigate relationships among fires (i.e., burned area), meteo-climatic parameters and water quality variables (chlorophyll-a, turbidity) for the period 2003–2020. Because Lake Baikal is oligotrophic, we expected detectable changes in water quality variables at selected areas near the three mains tributaries (Upper Angara, Barguzin, Selenga) due to river transport of fire-derived burned material and nutrients. Time series analysis showed seasonal (from April to June) and inter-annual fire occurrence, precipitation patterns (high intensity in summer) and no significant temporal changes for water quality variables during the studied periods. The most severe wildfires occurred in 2003 with the highest burned area detected (36,767 km2). The three lake sub-basins investigated have shown to respond differently according to their morphology, land cover types and meteo-climatic conditions, indicating their importance in determining the response of water variables to the impact of fires. Overall, our finding suggests that Lake Baikal shows resilience in the medium-long term to potential effects of fires and climate change in the region.

Have rural settlement changes harmed ecosystem carbon in China?

The rural landscape is undergoing rapid changes. In China, the expansion of rural settlements is widespread, causing problems to the environment. Previous studies have focused on the effects of built-up land expansion on ecosystem carbon, and this paper further explores the effects of rural settlement changes on ecosystem carbon and investigates the spatial heterogeneity of the relationship. The result shows: rural settlement expansion has led to a significant loss in carbon sinks and vegetation carbon stock, respectively. The main pathway of ecosystem carbon loss is the occupation of cropland. A total of 31% of the regions have a negative coupling relationship between the area of per capita rural settlement and the growth of carbon sinks. The regions where both rural settlements and carbon sink function have declined are mainly concentrated in the northwest, and ecological and rural development in these regions requires additional attention. 63% of the regions show great resilience in terms of carbon sink function in the face of rural settlement expansion.

Perbedaan Konsep Diri dan Resiliensi Ditinjau dari Jurusan pada Siswa SMK Negeri 1 Merdeka

This study aims to determine differences in self-concept and resilience in terms of majors in students of SMK Negeri 1 Merdeka. The department is part of the Vocational High School, namely the focus of the field of study chosen and studied by students. The disciplines in a department at SMK in this study are Building Engineering and Light Vehicle Engineering. The hypothesis put forward is that there are differences in self-concept and resilience in terms of majors in SMK. In this study, the samples used were 116 students majoring in Building Engineering and 148 students majoring in Light Vehicle Engineering, totaly 264 students. This research uses self-concept scale and resilience scale. The data analysis method is 1 way ANOVA. Based on the data analysis carried out, the results obtained from differences in self-concept in terms of the Department of Building Engineering and Light Vehicle Engineering with a different F value = 513.430; the difference in resilience in terms of the Building Engineering and Light Vehicle Engineering majors obtained a different F value = 615.864 with Sig (p) = 0.000 <0.050, then the proposed hypothesis is declared accepted.

Preparedness for contingencies: a systematic review of the factors that influence the crisis resilience of project managers

Background: The goal of this review paper is to investigate factors that contribute to project managers' crisis resilience through a systematic review of the literature and bibliometric analysis using VOXviewer. Methods: Using the PRISMA framework for systematic literature, 55 peer-reviewed articles published between 1993 and 2022 that met our criteria were identified through a structured keyword search in the Scopus and WoS databases. Results: The systematic review and bibliometric analysis reveal eight clusters, which we further categorise into four determinants. In the context of the roles of project managers, the results of a comparative analysis reveal four prominent factors for enhancing crisis resilience: 1. leadership; 2. interpersonal skill; 3. agility; 4. risk management and vulnerability . These factors are essential for developing project managers who are less susceptible to future crises and disasters. This study has exhaustively characterised the possibilities and capacities of crisis resilience in terms of competency, integration, collaboration, and novelty; however, the search was restricted to a small number of databases and a short period of time, which could be explored in future research. Conclusions: According to the findings, most previous research on crisis resilience focused on emergency preparedness and was primarily conducted in Western and American studies. There is a lack of a holistic perspective on crisis resilience, which will be developed. We believe that international collaboration efforts to establish a platform for the exchange of knowledge between Western and American nations and ASEAN members are necessary.

Family Resilience of MSMEs Traders after Toll Road Operation at Pasar Bengkel: Islamic Family Law Perspective

This paper aims at seeking how the implementation of family resilience among MSMEs traders after the toll road operation in the view of Islamic family law. This research is empirical legal research with a legal sociology approach. Sources of data were taken from interviews with MSMEs traders and qualitative methods were used to analyze it. The results show that the operation of the Medan-Kualanamu-TebingTinggi toll road affects the economic income of merchant families, the resilience of merchant families is still relatively strong in the view of Islamic family law. This condition was marked by reaching their resilience in terms of aspects of marriage legality, household integrity, fulfillment of rights and obligations, and aspects of conflict management. The efforts made by the families of MSMEs traders after the operation of the Medan-Kualanamu-TebingTinggi toll road maintain family resilience including finding their jobs to cover their lack of income, being open about financial problems and maintaining good communication between family members. Whereas in general the concept of family resilience is still being implemented among MSMEs traders at Pasar Bengkel even though affected by the toll road operation.

Using the global value chain framework to analyse and tackle global environmental crises

Climate crises are being experienced all over the world and appear to be accelerating as “extreme weather” events become the “new normal.” In today’s world economy, where trade and production activities are internationally dispersed and prone to disruptions, the global value chain (GVC) framework provides a systematic approach to understand and combat environmental crises and to advance sustainable development options across global, regional, and local scales. A vast “implementation deficit” characterizes sustainability efforts to date. The GVC framework incorporates firm and policymaker perspectives in a multistakeholder approach that offers multiple building blocks for a progressive environmental agenda, including: a multi-actor perspective to define sustainability; measuring it across diverse geographic scales; analysis of both environmental upgrading and downgrading; distinguishing motivations, actions, and outcomes when assessing environmental performance; viewing GVC resilience in terms of the interplay of economic and environmental forces; and highlighting how context matters in analyzing national, industry, and geopolitical factors.

What Science Leaves Unsaid: A Reconsideration in 2 Voices.

At a time when new and veteran nurses are fleeing the profession and the term resilience is as worn out as the workers it is meant to inspire, scholars and educators must excavate the intuitive and creative core of nursing. Science addresses facts but lacks language for nuance. This article asserts that nursing, which lags behind medicine in appreciating the value of its stories, must recognize the essential diversity the humanities bring to our understanding of the human condition. As workforce deficits, moral distress, and vicarious trauma proliferate, a consilience between the art and science of nursing and a reminder of their ability to potentiate one another are overdue.

Spatial Distribution of Citrus Pseudocercospora Leaf and Fruit Spot Disease and Shade Effect on Disease Intensity

Adapting agricultural systems to face persistent environmental hazards is at the center of global concerns. In line with this, understanding and highlighting the structural characteristics of agroforestry systems could strengthen their resilience in terms of disease management. This study was conducted to evaluate the effect of shade on the intensity of citrus leaf and fruit spot disease caused by Pseudocercospora (PLFSD). Investigations to assess the effects of shade components on the incidence of PLFSD were carried out on 15-year-old tangerine trees in a cocoa-based agroforestry plot (Bokito) during four fruits seasons. Tangerines under the shade of large forest trees were compared to others located under full sunlight. A complementary experiment was conducted on young grapefruit plants in an orchard with mango and avocado groves in Foumbot. Three shading conditions, i.e., under avocado trees, under mango trees, and without shade, were explored. Data on shade and PLFSD incidence were collected and analyzed. Our findings show that PLFSD incidence was null on tangerine leaves from trees under shade compared to those under full sunlight. The same trends were observed in fruits under shade and under full sunlight. Disease incidence on grapefruit leaves was lower on trees under shade compared to those under full sunlight. In short, shade trees appear to constitute potential physical barriers to disease progression. This study also highlights disease spatial distribution as beyond 12 m of distance between neighboring trees, no spatial dependence of disease spread was observed. Management actions based on the distance between citrus trees and regulating shade are envisaged.

Resilience in value creation systems through additive manufacturing: a decision model

Due to increasing globalization and market volatility, value creation systems are becoming progressively vulnerable to unpredictable crises. Organizations are forced to design their processes more crisis-proof to secure their existence in the dynamic market environment. The ability to prepare for, respond to and recover from random disruptive events is described by the term resilience. One possible way to increase resilience of value creation systems is by adapting flexible technologies like additive manufacturing. Due to its multiple and broad ranging applications and characteristic potentials, additive manufacturing provides the ability to radically change the design of value creation systems.This paper proposes a decision model to assist organizations in improving their system resilience by integrating additive manufacturing processes into their value creation system. The Design Science Research Paradigm was adopted to align practical research with existing problems. The model follows a knowledge-based approach, for which a qualitative research study was designed and conducted to derive model requirements. Subsequently, the model was conceptually developed considering the identified requirements and validated on a laboratory scale.

A comprehensive approach for discrete resilience of complex networks.

The research and use of the term resilience in various types of technological, physiological, and socioeconomic systems has become very topical in recent years since this term has been applied in different fields with different meanings and connotations. One of the most common meanings of resilience is related to a positive idea that addresses recovery from failures. This study proposes to establish a theoretical and mathematical framework for discrete resilience that allows different systems to be quantitatively compared from this point of view. Also, a definition and a local view of the concept of resilience applicable to different characteristic measures in the field of complex networks is provided. Furthermore, several computational experiments are presented on the values of this new parameter in different types of synthetic and real-world networks, supplying a new set of conceptual tools for network science research.

Responsiveness in the Face of Disruption – Exploring the Role of Collaborative Knowledge Management and Supply Chain Relational Capital

The Covid pandemic has thrown light on the issue of resilience of the supply chain. Organizations and their supply chains are now exploring ways to increase resilience. Supply chain literature has largely defined resilience in terms of responding and reacting to disruptions. This study thus explores Supply Chain Responsiveness (SCR) as an aspect of resilience and examines the role of Collaborative Knowledge Management (CKM) and Supply Chain Relational Capital (SCRC) in improving responsiveness. Findings from a survey of manufacturing firms indicate that both CKM and SCRC have a positive impact on SCR. Implications for theory and practice are discussed.

Resilience of Multi-Layer Communication Networks

Advances in the future communication technologies and capabilities of new services in heterogeneous network systems have increased the need for modelling and analysing various aspects of both the resilience of networked systems and usability from the user's point of view. We extend the traditional network reliability theory to cover a wider scope of quality requirements and applications. The proposed method can be used to model the resilience of different structured networks, and the quality of information services. We use the term resilience to cover both the technical and quality-of-service aspects of user requirements. The modelling method is demonstrated with a use case of a multilayer communication network system. However, the method can be used to model any kind of technological network, such as wireless, sensor, and backbone networks.