Resilience Capabilities Research Articles

Value of Enterprise Risk Management Integration and Supply Chain Performance: Mediating Role of Firm’s Resilience Capability

Every firm aims to generate profit by applying cost-cutting and customer satisfaction approaches in a volatile market. Based on the resource-based theory, this study explored the concept of risk management integration for Nigerian firms regarding supply chain performance. The study proposed a significant relationship between enterprise risk management integration with firm resilience and the supply chain performance of different sector firms. Furthermore, the study also examines the mediating role of firm resilience between enterprise risk management integration and supply chain performance. Data from 572 responses from Nigerian firms were analyzed using AMOS V-26 and Applied Structural Equation Modeling (SEM) to evaluate the validity and reliability. The study findings revealed that factors considering enterprise risk management significantly influence firm resilience and supply chain performance. Firm resilience partially mediates between enterprise risk management integration and supply chain performance. The study concludes that firm resilience helps to enhance supply chain performance through risk management strategies and contingent capabilities.

Assessing Supply Chain Resilience to Mitigate Disruption: The Focus on Cross-Border Suppliers

Background: Cross-border suppliers have always been points of disruption, further impacting international trade, businesses, and societies along the chain. Understanding the current resilience capabilities of cross-border suppliers is a stepping-stone to implementing resilience initiatives and policies to mitigate disruptions. However, no guidelines or practical tools exist to help cross-border suppliers conduct a deep-dive analysis of their resilience. Therefore, this paper proposes an assessment tool to guide cross-border suppliers in assessing their resilience capabilities. Methods: The supplier-focused resilience assessment approach was adapted from the Logistics Performance Index concept. The questionnaire and its resilience assessment dimensions were established through a literature review with the support of experienced cross-border professionals. Case study validation was further conducted to demonstrate the tool’s applicability. Results: The assessment evaluation through the Cross-Border Resilience Performance Index facilitates detailed analysis and benchmarking, enabling recommendations for necessary resilience initiatives and policies. Conclusions: This study contributes to the supply chain literature by adding a more practical resilience assessment approach focusing on cross-border suppliers. The Cross-Border Resilience Performance Index is the study’s primary contribution and is novel to the literature. The tool’s advantages include ease of use, replication potential, and its ability to glean comprehensive insights, ultimately improving supplier resilience and supply chain robustness. By implementing more precise initiatives, the tool increases the chances of cross-border suppliers being selected and maintained by buyers, helping them sustain their businesses and better respond to changing conditions to mitigate disruptions.

SUPPLY CHAIN INNOVATION AND COMPETITIVE ADVANTAGE IN THE COFFEE BUSINESS IN CENTRAL ACEH DISTRICT, ACEH PROVINCE

The agriculture sector highly depends on various suppliers to meet its input requirements. Because the agriculture sector relies so heavily on its suppliers, robust supply chain management and strong supplier relationships ensure agribusiness sustainability and efficiency. Aceh's coffee supply chain is typified by low profitability and poor optimization, especially regarding Gayo Arabica coffee. The COVID-19 pandemic has elevated distribution risks at different supply chain stages, exacerbating this further. The relationship between supply chain innovation and competitive advantage in the coffee sector in Aceh Tengah District, Indonesia, is investigated in this quantitative study employing a mediation model. With 60 respondents, Central Aceh Regency was selected using a purposive sampling technique for research purposes. This study uses a Likert-scale questionnaire with structural equation modeling (PLS-SEM). This research aims to assist Acehnese coffee companies in gaining a competitive edge through innovative supply chain practices, resulting in more robust and efficient risk management and sustainability strategies. The results show that supply chain innovation and resilience capability do not affect competitive advantage, where the p-value of these two variables is 0,4. In addition, resilience capability as a mediating variable does not directly affect supply chain innovation and competitive advantage. Keywords: agribusiness, coffee, sem pls, supply chain innovation

Modelling resilience dynamics for smart manufacturing systems: quantification and empirical analysis

ABSTRACT Smart manufacturing contributes to a better management of uncertainties and risks in today’s business environment, leading to a more resilient system. Despite its significance, the quantification of resilience in manufacturing environments is not well developed and is considered a pressing research gap. This study introduces a novel approach for assessing resilience through the development of a mathematical model for smart manufacturing systems. The sensitivity and applicability of the proposed model are investigated through simulation-based experimentation. The results demonstrate the level of resilience with the adaptability of smart manufacturing technologies. Interestingly, the trigger point derived from the simulation results is an indicator of the threshold limit for effective implementation of smart manufacturing technologies for the desired system resilience. The research provides a tool for decision-makers in industry that are considering investing in smart manufacturing solutions to increase their operational resilience. Decision-makers can design the deployment of smart manufacturing systems based on an informative trade-off to maintain the required resilience capabilities and achieve a competitive edge in the market.

Multimodal Fused Deep Learning for Drug Property Prediction: Integrating Chemical Language and Molecular Graph

Accurately predicting molecular properties is a challenging but essential task in drug discovery. Recently, many mono-modal deep learning methods have been successfully applied to molecular property prediction. However, mono-modal learning is inherently limited as it relies solely on a single modality of molecular representation, which restricts a comprehensive understanding of drug molecules. To overcome the limitations, we propose a multimodal fused deep learning (MMFDL) model to leverage information from different molecular representations. Specifically, we construct a triple-modal learning model by employing Transformer-Encoder, BiGRU, and graph convolutional network (GCN) to process three modalities of information from chemical language and molecular graph: SMILES-encoded vectors, ECFP fingerprints, and molecular graphs, respectively. We evaluate the proposed triple-modal model using five fusion approaches on six molecule datasets including Delaney, Llinas2020, Lipophilicity, SAMPL, BACE, and pKa from DataWarrior. The results show that the MMFDL model achieves the highest Pearson coefficients, and stable distribution of Pearson coefficients in a random splitting test, outperforming mono-modal models in accuracy and reliability. Furthermore, we validate the generalization ability of our model in the prediction of binding constants for protein-ligand complex molecules and assess the resilience capability against noise. Through analysis of feature distributions in chemical space and the assigned contribution of each modal model, we demonstrate that the MMFDL model shows the ability to acquire complementary information by using proper models and suitable fusion approaches. By leveraging diverse sources of bioinformatics information, multimodal deep learning models hold the potential for successful drug discovery.

Measuring supply chain resilience for informed resilience strategy investment

AbstractExisting supply chain resilience (SCR) research lacks a clear, holistic method to quantify resilience. This paper provides an improved SCR metric while exploring the inherent tradeoff between investments in inventory and production capacity to yield the most resilient supply chain network given budget constraints. Discrete event simulation is used to develop a generalizable metric to provide insight into how supply chain design and investment determine a network's response to a disruption. The developed resilience capability metric (RCM), utilizing area under the curve, measures the cumulative performance level of the system from disruption to a predetermined endpoint, representing how much of the system demand can be served by different network designs. Results indicate inventory and production have different effects on how a system behaves postdisruption, but that the two SCR investments should not be viewed independently since optimal performance is connected to coordinated adjustments to both. Additionally, the use of the RCM shows that a key factor in a supply chain's resilience is the speed of the response. By measuring the cumulative performance over the total event, RCM provides managers with the ability to truly compare different SCR investments to see which has the greatest impact on overall resilience.

Zero-inventory plans, constant workforce, or hybrid approach? Analysing pure production strategies for enhancing factory resilience with demand variability

Historically the notion of resilience capability has primarily been conceptualised as a holistic construct in the domain of supply chain networks – referred to as SCRES. The field of SCRES has since evolved gaining prominence among scholars and practitioners. However, the existing SCRES literature inadequately delves into the embedded resilience harboured by their constituent components, practices, or internal routines, including the aggregate production planning (APP) process. Therefore, the purpose of this article is to examine the interplay between medium-term pure strategies for APP and the resilience of manufacturing facilities, assuming demand to be the sole source of uncertainty. To accomplish this, a realistic Monte-Carlo simulation model integrated with a robust heuristic procedure for pure strategies is merged with a factory resilience index-based Cobb–Douglas function. The results of this research suggest that manufacturing facilities achieve a higher level of resilience when certain ‘zero-inventory plans’ are implemented. Based on this key finding, production/demand planners might incorporate the resilience dimension alongside the customary manufacturing success factors. Thus, to the best of the authors’ knowledge, this study represents the first attempt to establish a clear linkage between the implementation of pure APP strategies and a quantitative measure of factory resilience.

International nursing students' culture shock and academic engagement: The moderating role of resilience

BackgroundThe nursing profession has experienced a growing influx of international nursing students pursuing nursing degrees in the current era. Predicting and controlling culture shock among this special group is a critical issue as it shapes their academic engagement. Building resilience capabilities among this set of students is a pivotal necessity to buffer the effect of culture shock on their academic engagement. ObjectiveTo explore the relationship between culture shock and academic engagement among international nursing students, and investigate the moderating effect of resilience on this relationship. DesignCross-sectional correlational study. SettingThree faculties of nursing at Egypt. ParticipantsA total of 252 international nursing students were assessed for eligibility. Twelve students were excluded, and out of the 240 respondents to the survey, 233 responses were valid and were ultimately analyzed. MethodsA hand-delivered anonymous questionnaire in Arabic and English that consisted of four parts was used to collect the data. It included students' characteristics and relevant data, the culture shock questionnaire, the academic resilience scale, and the university student engagement inventory. The data collection spans from the beginning of November 2023 to the end of December 2023. Descriptive statistics, correlation analysis, and linear regression were employed via SPSS and Process Macro to test the hypothetical relationships among the study variables. ResultsThere was a significant negative correlation between culture shock and the academic engagement of international nursing students. Culture shock and resilience are powerful predictors of their academic engagement. The moderating effect of resilience on the relationship between culture shock and the academic engagement of international nursing students was statistically significant, making it less negative. ConclusionCulture shock is an inevitable phenomenon among international nursing students and has a negative effect on their academic engagement and performance. This negative effect could be buffered by maximizing the resilience capabilities of this set of students.

Maritime University Employees’ Level of Resilience Quotient: Basis for Development of an Enhancement Program

This study was conceptualized because COVID-19 pandemic brought adversity to most employees, such as death within the family, illness, fear of having it, and the like. Thus, there is a need to assess the employees’ current levels of resilience quotient and understand the factors that contribute to it which can be an effective tool in developing resilient employees’ programs. The respondents of this study were the 84 employees of a maritime university in Iloilo City, Philippines comprised of faculty and staff selected through simple random sampling. The validated and reliability-tested Resilience Quotient (RQ) assessment questionnaire of Russell and Russell (2007) was used in this study. The statistical tools used were mean, One-way Analysis of Variance (ANOVA), t-test of independent samples, and Scheffe test set at .05 level of significance. Results revealed that when taken as an entire group, the resilience quotient level of the maritime university employees’ was high which means that they are optimistic, focused on solutions, always think of individual accountability, open and flexible, and always manages stress and anxiety. It also showed that employees had a higher score in the “personal vision” dimension and the lowest score in the “organized” dimension. The employees' length of service to the institution significantly affected their level of resilience quotient. It is recommended that employees may use their personal vision in their resilience capabilities to develop their organizing skills and find ways to generate a level of order and structure that provides them with the focus and stability they need to do their individual jobs.

Contribution of lean production to the resilience of the Brazilian automotive supply chain

We propose a method to assess companies’ ability to cope with different types of disruptive events by developing resilience capabilities through Lean Production (LP) implementation. We use direct and reverse mathematical operations with two expert opinion-based matrices mapping relationships between LP practices and resilience capabilities, and resilience capabilities and types of disruptive events, obtained collecting opinions from 12 experts. We apply the method in two instances. First, using results from a survey with 135 practitioners from the Brazilian automotive industry regarding their adoption levels of LP practices. Direct matrix operations using this input indicated the development levels of eight resilience capabilities and the ability degree to cope with four types of disruptive events. Second, presenting four scenarios in which a company is exposed to high- and low-impact disruptive events of temporary and permanent nature, we perform reverse matrix operations to identify resilience capabilities and LP practices best fit to cope with each type of event. From the direct analysis of practitioners’ data two LP practices (supplier feedback and involved customers) and two resilience capabilities (provide a quick response to disruption and adapt to disruption easily) stand out. These practices and capabilities mainly prepare companies to cope with high impact disruptions of permanent nature.

Construction and application of the emergency resilience capability evaluation scale and model for grassroots medical workers: a cross-sectional study in Guangzhou, China.

Public health emergencies pose a serious challenge to the ability of medical personnel to respond. We aimed to establish a scientific and effective resilience capability assessment scale for grassroots medical workers and explore the way to improve resilience. Developed a resilience ability assessment scale and applied it on the medical personnel who worked in community health service centers for more than 1 year. Related indicators were identified through literature review and the Delphi method. The established scale was given weight using the attribute analytic hierarchy process, and the evaluation model was built through the grey correlation analysis. A three-level indicator scale was established, which included three first-level indicators [professional quality (weight 0.346), psychological capital (weight 0.614), and emergency attitude (weight 0.040)]. The second-level indicators had 13 contents and were further subdivided into 46 three-level indicators. The overall resilience ability assessment score of 347 medical workers in Guangzhou was only 0.787. However, steady scientific-exercise habits and relative training can help improve their public health emergency resilience ability (p < 0.05). The establishment of the scale can provide a strategic basis for improving the resilience strength of grass-roots medical personnel. We should encourage this group to form a good habit of exercise, strengthen their crisis awareness by actively organizing theoretical training and practical exercises on public health emergencies, and improve their psychological capital level. In this study, 347 medical workers from 6 basic medical institutions in Guangzhou participated in the questionnaire.

Corporate Governance and Business Resilience in the Banking Industry

The unstable banking business environment and ethical questions that bedeviled the industry have opened new windows for researchers and policymakers on how best to tackle the menace. But as researchers keep pace on how best banking institutions can remain unperturbed with preparation for future adversities and bearing in mind the shareholders' wealth, the concept of resilience becomes the beacon of hope for managers and directors alike. 139 participants drawn from ten interest-deposit money banks in south-eastern Nigeria were selected for this inquiry. The result of this study demonstrated that corporate governance predicted business resilience positively. It was concluded that corporate governance that is predicated on board independence, board size, board effectiveness, leadership quality, and accountability would strengthen the resilience of interest deposit money banks. This study recommends that managing directors of interest deposit money can leverage corporate governance measures utilized in this study to strengthen the resilience capability of their organisations.

Digital transformation and resilience in family business: an exploratory study of generational dynamics

PurposeThe paper aims to contribute to the advancement of the debate on digital innovation and entrepreneurship from a cross-generational perspective in the context of family businesses. Specifically, the paper explores the contribution provided by the young generations of entrepreneurs to the digital transformation and resilience of family businesses during the pandemic emergence of COVID-19. Focusing on the need for a major understanding of digital resilience in the context of family businesses and small and medium-sized enterprises, the paper aims to provide theoretical and empirical contributions in replying to the following research question: How did young entrepreneurs contribute to the resilience and the digital transformation of their family businesses during COVID-19?Design/methodology/approachThe methodology consisted of a two-stage qualitative investigation including a focus group managed in presence with the involvement of 24 young entrepreneurs and a self-administered online survey involving the family businesses belonging to the Association of Young Entrepreneurs of Confindustria Puglia (South Italy) that has allowed to collect 47 replies, with a 32% response rate.FindingsThe paper presents evidence about the resilience of family businesses during the COVID-19 supported by the disruptive role of emerging digital technologies. Our analysis demonstrates that young entrepreneurs adopted different patterns of digital transformations, depending on the firm’s industry and the family firm’s digital maturity. Digital resilience in the context of the observed family businesses produced different benefits in terms of competitiveness, effectiveness of decision-making, visibility and communication and new opportunities for value creation; it occurred in several business areas, including production, logistics, sales and human resources management.Practical implicationsThe study highlights the relevant role that younger generations can play in exploring innovation opportunities associated with digitalisation as well as in contributing to reinforce innovation and resilience capability of their family businesses through collaboration with external stakeholders and ecosystems.Originality/valueThe value of the research consists in the attempt to analyse the meaning and implication of digital innovation in the context of family business as a driver for their resilience capability. The Family Businesses Digital Readiness and Young Entrepreneurs Contributions Matrix presented into the study as an original contribution of synthesis of the evidence collected.

Digging deeper into organisational resilience through strategic agility and strategic orientation: a study from the perspective of Sri Lankan SME leaders

Fueling success in the small and medium enterprise (SME) sector requires a robust blend of organizational resilience and strategic agility to navigate the right strategies toward the ever-changing landscape of limited resources and constant dynamism. Therefore, leaders of SMEs need to play a prominent role in navigating the right balance of strategies towards organizational resilience. The purpose of this study is to explore the impact of strategic agility on organizational resilience in times of economic uncertainty and by firm characteristics. Accordingly, raw data was collected in 2023 from 440 SME leaders using a structured questionnaire and data was analysed using descriptive and inferential statistics using SPSS and AMOS. The findings of the study indicate that strategic agility significantly enhances organisational resilience by decoupling strategic orientation in the SME sector. Findings further revealed that strategic sensitivity has a prominent role in fostering resiliency, particularly in medium-sized companies. Therefore, SME leaders need to identify enablers of organisational resilience in line with firm characteristics and uncertainty of the market and detailed attention to evolving strategic constraints is necessarily required through codifying strategic agility with strategic orientation into resilience capabilities which requires capturing and embodiment of organisational reaction to change.

From Disruption to Continuity: Understanding Organizational Resilience Strategies in the Face of Technological Change

In today's rapidly evolving technological landscape, organizations face significant challenges that can disrupt their operations, supply chains, and overall stability. This study examines how organizations manage technological disruptions by exploring the resilience strategies they employ and evaluating their effectiveness across different industries and organizational contexts. Drawing on resilience theory, crisis management literature, and organizational studies, the research adopts a mixed-methods approach that includes in-depth case studies, qualitative interviews with industry experts, and quantitative analysis of organizational performance data. The primary objectives of this study are to identify key resilience strategies, assess their effectiveness in diverse organizational settings, and determine the factors that influence successful implementation. By integrating insights from real-world examples and theoretical frameworks, the research aims to provide a comprehensive understanding of how organizations can better prepare for and respond to technological disruptions. The findings are expected to reveal critical implementation factors such as leadership support, organizational culture, and resource allocation, which are essential for fostering a resilient organizational environment. Ultimately, this study offers actionable recommendations for practitioners seeking to enhance their resilience capabilities. These recommendations will serve as a guide for developing robust resilience strategies, cultivating a culture of adaptability, and overcoming challenges associated with technological disruptions. The study contributes to the broader discourse on organizational resilience, providing valuable insights for both academic research and practical application in an increasingly uncertain technological environment.

Microalgal–Bacteria Biofilm in Wastewater Treatment: Advantages, Principles, and Establishment

The attached microalgal–bacterial consortium (microalgae–bacteria biofilm, MBBF) has been increasingly recognized in wastewater treatment for its superior pollutant removal efficiency, resilience to toxic substances, and improved harvesting performance. This review initially discusses the advantages of MBBFs compared to activated sludge and suspended microalgal–bacterial consortia. These advantages stem from the coexistence of pollutant removal pathways for the bacteria and microalgae in MBBFs, as well as the synergistic interactions between the microalgae and bacteria that enhance pollutant removal and resilience capabilities. Subsequently, the establishment of the MBBF system is emphasized, covering the establishment process, influencing factors of MBBF formation, and the utilization of photobioreactors. Lastly, the challenges associated with implementing MBBFs in wastewater treatment are deliberated. This study aims to present a detailed and comprehensive overview of the application of MBBFs for wastewater treatment and biomass production.

Rights-based Resilience Capabilities of Female-headed Households in the Face of Climate Change in Zimunya, Zimbabwe

Rights-based Resilience Capabilities of Female-headed Households in the Face of Climate Change in Zimunya, Zimbabwe

Reshaping of Global Shipping Dynamics: Implications for Strategic Resilience Capabilities, Marketing Capabilities, Supply Chain Orientation Capabilities and Port Competitiveness in Indonesia

The phenomenon of dynamic maritime environment have affected port business and it is substantially changing the business environment in which large-scale container trade growth is being facilitated. In this paper will illustrate the dynamic features of port users, discuss the port competition strategy and analyse the marketing strategic for port business under transformation phases. Using qualitative methods using case studies through a literature review and empirical evidence to prove, deepen and expand the results of the study. In this article, we develop and examine the implication such marketing capabilities approach to the effectiveness of the marketing strategies and strategic resilience capabilities to determine sustainable competitive performance. Based on a discussion among with its managements, this paper could prove a conceptual framework in which strategic resilience capabilities and supply chain orientation capabilities have a profound impact on the company’s sustainable competitive performance.

An AHP-based evaluation framework for automotive stamping suppliers

PurposeThis study aims to establish a robust evaluation framework for suppliers within the automotive supply chain, specifically in the stamping sector. The primary objectives are to elucidate the performance criteria of suppliers, identify indicators and scales for measuring these criteria and find the importance of the criteria.Design/methodology/approachThe evaluation framework comprises a criteria hierarchy and indicators developed based on the evaluation criteria of major automotive manufacturers. Specific indicators and measurement scales are recommended for assessing suppliers. Importance weights for the criteria are assigned based on the input of nine experts using the Analytic Hierarchy Process (AHP). Finally, four sheet metal stamping tooling (SMST) suppliers are evaluated by four specialists using the proposed evaluation framework.FindingsThe study introduces a novel classification of criteria, encompassing financial and commercial perspectives, delivery capability, supplier facility and cultural approaches and business process necessities. The findings underscore the significance of financial and commercial stability in the selection of SMST suppliers, emphasizing their role in mitigating risks associated with disruptions, bankruptcies and unforeseen events. Additionally, several SMST evaluation factors identified in this study contribute to the development of resilience capabilities, highlighting the crucial importance of their inclusion and assessment in the proposed evaluation framework.Originality/valueThis research presents a comprehensive model for evaluating SMST suppliers, which tackles the multidisciplinary challenges within the automotive supply chain. Given the inadequacy or nonexistence of current SMTS selection models, this study bridges the gap by exploring potential and necessary criteria, alongside 116 specific indicators and measurement scales.

Dynamic Evaluation of Road Network Resilience to Traffic Accidents: An Emergency Management Perspective for Sustainable Cities in China

When assessing road network resilience, emergency management behavior should be considered, as this represents the road network’s capacity to adapt to and recover from traffic accidents. Given the timeliness and variability of emergency management behavior, deterministic approaches seem inadequate to represent real road network performance. Thus, this paper innovatively designs an emergency management perspective-based dynamic evaluation method of road network resilience to traffic accidents. Firstly, based on four stages of emergency management, a road network resilience evaluation index system encompassing resilience capabilities, resilience attributes and traffic accident emergency management ability indicators is constructed. Afterwards, the gray relational technique for order preference by similarity to the ideal solution (GRA-TOPSIS) evaluation method based on combination weighting, which integrates factor analysis with hesitant intuitionistic fuzzy expert scoring, is designed to quantify resilience. Finally, the obstacle degree model is utilized for identifying resilience constraints as the input of a long short-term memory (LSTM) model to predict the resilience variation trend. The fast road network of Shanghai in China is adopted as a case study, and the results indicate that road network resilience embodies significant spatial distribution characteristics. Road length, number of tractors, perception and response and disposal time of traffic accidents cast notable effects on resilience. Additionally, some roads are forecast to show descending resilience. The proposed method is valuable for helping policymakers identify current and potential vulnerable roads and to formulate proposals to effectively improve the resilience of urban agglomerations and promote sustainable cities.