Template-Type: ReDIF-Article 1.0
Author-Name: Subhasish Mohapatra
Author-X-Name-First: Subhasish
Author-X-Name-Last: Mohapatra
Author-Name: Abhishek Roy
Author-X-Name-First: Abhishek
Author-X-Name-Last: Roy
Author-Name: Bijay Kumar Paikaray
Author-X-Name-First: Bijay Kumar
Author-X-Name-Last: Paikaray
Title: Enhancing software design through dynamic metrics and entropy: a case study in cloud security for healthcare systems
Abstract:
The computational analysis through dynamic metrics and entropy potentially makes the system more robust before its real-time application. It can further bridge the missing link between component slicing and package restructuring. It ensures reliability in design and developers gain a methodical blueprint before coding. The result section elaborates on the cohesive analysis of each class. For a good software design, we need high cohesion and low coupling, so this adaptive analysis is achieved for this cloud-integrated healthcare model at the conceptual level of modelling. This analysis proves the flexibility of our proposed model. It systematically controls the ripple effect of changes in a model by coupling measures. The above concept further demonstrates how the structure of a unified modelling language (UML) class module within a model will explore the future scope of research work to provide an ultimate integrated cloud-based healthcare model to the end user.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 1-17
Issue: 1
Volume: 15
Year: 2025
Keywords: cloud-healthcare; cohesion; coupling; modularisation; healthcare model; entropy.
File-URL: http://www.inderscience.com/link.php?id=144939
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:1:p:1-17

Template-Type: ReDIF-Article 1.0
Author-Name: Mariame Ababou
Author-X-Name-First: Mariame
Author-X-Name-Last: Ababou
Title: Managing supply chain risks for enhanced logistic performance: insights from the automotive industry in Morocco
Abstract:
In today's volatile business environment, supply chain disruptions pose significant challenges to firms, impacting their logistic performance and overall competitiveness. This study aims to investigate the relationship between supply chain risks and firm logistic performance, with a focus on identifying key risk factors and mitigation strategies. Drawing upon an extensive literature review, a comprehensive framework of supply chain risks, including market risks, supplier risks, and inventory risks, is developed. Through empirical analysis using structural equation modelling (SEM) techniques, data collected from 82 automotive firms are examined to assess the impact of these risk factors on logistic performance indicators. The findings reveal significant associations between various risk factors and logistic performance outcomes, highlighting the critical role of proactive risk management in mitigating disruptions and improving operational efficiency. Practical implications for supply chain managers are discussed, emphasising the importance of implementing robust risk mitigation strategies and fostering resilience in supply chain operations. This research contributes to a deeper understanding of the complex dynamics between supply chain risks and firm performance and provides valuable insights for firms seeking to enhance their competitiveness in today's uncertain business landscape.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 18-31
Issue: 1
Volume: 15
Year: 2025
Keywords: supply chain management; SCM; logistic performance; supply chain risks; PLS-SEM; Morocco; structural equation modelling; SEM.
File-URL: http://www.inderscience.com/link.php?id=144942
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:1:p:18-31

Template-Type: ReDIF-Article 1.0
Author-Name: Kun Liao
Author-X-Name-First: Kun
Author-X-Name-Last: Liao
Author-Name: Ozden Bayazit
Author-X-Name-First: Ozden
Author-X-Name-Last: Bayazit
Author-Name: Pingping Tang
Author-X-Name-First: Pingping
Author-X-Name-Last: Tang
Title: Artificial intelligence in trucking industry: a triple-win environmental, social and governance approach
Abstract:
This study examines a triple-win approach introduced by an artificial intelligence (AI) technology service company in Shenzhen, China, that is analysed through the environmental, social and governance (ESG theory) factors. This approach is promising because it may improve the operational efficiency as well as the financial performance of the insurance company and the trucking logistics company. More importantly, technology and service can vastly decrease the accident rate of logistics companies, resulting in positive social impacts. Hence, this study proposes a framework for adopting AI in logistics and classifies success factors of AI projects into three categories based on findings from the innovative Chinese startup and other previously implemented AI projects: viable technology, profitability, and positive social impact.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 32-45
Issue: 1
Volume: 15
Year: 2025
Keywords: artificial intelligence; autonomous driving; social responsibility; insurance; trucking industry; success factors.
File-URL: http://www.inderscience.com/link.php?id=144943
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:1:p:32-45

Template-Type: ReDIF-Article 1.0
Author-Name: Decky Riadi
Author-X-Name-First: Decky
Author-X-Name-Last: Riadi
Author-Name: Andrey H. Pulungan
Author-X-Name-First: Andrey H.
Author-X-Name-Last: Pulungan
Author-Name: Faris Windiarti
Author-X-Name-First: Faris
Author-X-Name-Last: Windiarti
Title: Sustainable Development Goals reporting and firm value in Indonesia: moderating role of separate risk management committee
Abstract:
This research aims to assess the impact of Sustainable Development Goals (SDGs) disclosure on firm value and examine how a separate risk management committee moderates the relationship between SDGs disclosure and firm value. These research samples were 328 firms listed on the Indonesian Stock Exchange during 2017-2021. This study uses secondary non-financial and financial data from annual, sustainability reports, and other financial databases. Data were analysed using a fixed effect method. Results revealed that SDGs disclosure has positive and significant influence on firm value, implying that the publication of commitment to SDGs may act as a signal of firm best practice in sustainability. The study also revealed that a separate risk management committee does not have any impact on the firm's value. Similarly, the separate risk management committee does not moderate the association between SDGs disclosure and firm value. The research results support the implementation of signalling theory and enhance a comprehensive understanding about firm valuation. This research also provides insights for managers, investors, and policy makers to consider the effectiveness of establishment of separate risk management committee in firms.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 46-62
Issue: 1
Volume: 15
Year: 2025
Keywords: firm value; risk management; Sustainable Development Goal; SDGs; sustainability; Indonesia.
File-URL: http://www.inderscience.com/link.php?id=144944
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:1:p:46-62

Template-Type: ReDIF-Article 1.0
Author-Name: Joydeep Banerjee
Author-X-Name-First: Joydeep
Author-X-Name-Last: Banerjee
Author-Name: Santanu Kumar Das
Author-X-Name-First: Santanu Kumar
Author-X-Name-Last: Das
Title: Blending enterprise resource planning on supply chain management in the aerospace sector in India and analysis using multi-scale adaptive dilated convolutional LSTM
Abstract:
Aerospace organisations, which have already executed enterprise resource management (ERP) tools along with the supply chain management (SCM) models are considered in this research work. At first, information is gathered from these organisations as a form of structured questions. These questions are then evaluated using relevant statistical methods to obtain the necessary goal. After that, the distribution of the questions to the authorised parties of these organisations is done. The authorities of these industries are requested provide information asked more precisely. At the final stage, the effectiveness of integrating the SCM with ERP is validated with the help of multi-scale adaptive dilated convolutional long-short-term memory (MADC-LSTM). The optimisation of the MADC-LSTM network's parameters is carried out by Golden Eagle with bee collecting pollen optimisation algorithm (GE-BCPOA). The effectiveness of integrating SCM with the ERP is analysed by conducting diverse experiments.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 63-94
Issue: 1
Volume: 15
Year: 2025
Keywords: enterprise resource planning; ERP; supply chain management; SCM; aerospace sector in India; statistical approach; multi-scale; adaptive dilated; convolutional long short-term memory; Golden eagle; bee collecting pollen optimisation algorithm; India.
File-URL: http://www.inderscience.com/link.php?id=144952
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Template-Type: ReDIF-Article 1.0
Author-Name: Sheela Jayachandran
Author-X-Name-First: Sheela
Author-X-Name-Last: Jayachandran
Author-Name: Janet Barnabas
Author-X-Name-First: Janet
Author-X-Name-Last: Barnabas
Author-Name: Bijay Kumar Paikaray
Author-X-Name-First: Bijay Kumar
Author-X-Name-Last: Paikaray
Author-Name: Sachi Nandan Mohanty
Author-X-Name-First: Sachi Nandan
Author-X-Name-Last: Mohanty
Title: Enhancing crime record analysis: information extraction and categorisation using a fuzzy logic approach
Abstract:
Efficiently extracting and categorising information from crime records is crucial for actionable insights in law enforcement. Traditional methods struggle with language uncertainty. We propose a fuzzy logic-based approach for information extraction and categorisation from criminal event documents. Fuzzy rules enhance imprecise boundary delineation among patterns. Fuzzy crime extracts crime-related named entities (NER) like incident date, weapon type, location, nationality, and involved persons. It builds a crime-related thesaurus using computational linguistic methods. The ANFIS model categorises sentence patterns, using fuzzy rules designed with four variables to generate 16 patterns. Higher weighted patterns indicate more significant sentences. The system effectively extracts specific crime-related details from reports; classifying sentences using ANN. Experiments on the Iraq Body Count (IBC) benchmark dataset validate our model's accuracy using precision, and recall measures, outperforming previous techniques. Our fuzzy logic-based approach enhances information extraction and categorisation in crime records, enabling law enforcement agencies to make informed decisions.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 115-143
Issue: 2
Volume: 15
Year: 2025
Keywords: text mining; NER; lexicons; extraction; fuzzy system.
File-URL: http://www.inderscience.com/link.php?id=146403
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:2:p:115-143

Template-Type: ReDIF-Article 1.0
Author-Name: Lorren K. Haywood
Author-X-Name-First: Lorren K.
Author-X-Name-Last: Haywood
Author-Name: Michelle Audouin
Author-X-Name-First: Michelle
Author-X-Name-Last: Audouin
Author-Name: Nikki Funke
Author-X-Name-First: Nikki
Author-X-Name-Last: Funke
Author-Name: Karen Nortje
Author-X-Name-First: Karen
Author-X-Name-Last: Nortje
Author-Name: Phumza Ntshotsho
Author-X-Name-First: Phumza
Author-X-Name-Last: Ntshotsho
Author-Name: Maronel Steyn
Author-X-Name-First: Maronel
Author-X-Name-Last: Steyn
Title: Environmental risk disclosure: an analysis of integrated reports of companies listed on the Johannesburg Stock Exchange
Abstract:
A content analysis was employed to extract the strategic and material environmental risks disclosed in integrated reports by top-listed companies on the Johannesburg Stock Exchange as of May 2020. Findings suggested that environmental risk disclosure was low for the year considered. The range of environmental risks listed as material and strategic, across the companies, was extremely limited, with climate risks being identified the most. The types of environmental risks disclosed by these JSE companies were found to be well aligned with the top global risks listed by the World Economic Forum in 2020. With continued and increasing global environmental degradation, together with pressure from company stakeholders, as well as recently introduced international and national guidance, it could be expected that environmental risk disclosure will improve among top-listed JSE companies. It is recommended that a review of the environmental risk landscape and disclosures of these companies is regularly undertaken.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 95-114
Issue: 2
Volume: 15
Year: 2025
Keywords: risk disclosure; environmental risks; sustainability; integrated reports.
File-URL: http://www.inderscience.com/link.php?id=146404
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:2:p:95-114

Template-Type: ReDIF-Article 1.0
Author-Name: Piyumi Seneviratne
Author-X-Name-First: Piyumi
Author-X-Name-Last: Seneviratne
Author-Name: Ravindra Hewa Kuruppuge
Author-X-Name-First: Ravindra Hewa
Author-X-Name-Last: Kuruppuge
Author-Name: Hotniar Siringoringo
Author-X-Name-First: Hotniar
Author-X-Name-Last: Siringoringo
Title: Conflict of interest moderation on the relationship of value creation and its determinants
Abstract:
This paper ultimately determines how commitment continuation of family owners with the combination of value orientation within the business can drive value creation capacity with the emphasis on mediating role of conflict of interest. To answer this objective, data was collected using a semi-structured questionnaire from the family businesses in Sri Lanka. The statistics technique was used to analyse data collected. The results of the study imply that the moderation of 'conflict of interest' on the relationship of 'commitment continuation' with 'value creation' as well as the relationship of 'value orientation' with 'value creation' was evident. The study further emphasises that 'commitment continuation' and 'conflict of interest' was correlated positively, satisfying the hypothesis developed. The conceptual framework is tested for the validation of research to determine the applicability to the family-oriented small and medium businesses with reference to business owners in Sri Lanka.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 169-184
Issue: 2
Volume: 15
Year: 2025
Keywords: small and medium enterprise; value creation; value orientation; conflict of interest; Sri Lanka; family business.
File-URL: http://www.inderscience.com/link.php?id=146407
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:2:p:169-184

Template-Type: ReDIF-Article 1.0
Author-Name: Yamina Heddar
Author-X-Name-First: Yamina
Author-X-Name-Last: Heddar
Author-Name: Yousra Bouyelli
Author-X-Name-First: Yousra
Author-X-Name-Last: Bouyelli
Author-Name: Mébarek Djebabra
Author-X-Name-First: Mébarek
Author-X-Name-Last: Djebabra
Title: Contribution to the assessment of resilience in hospitals: the case of the Batna-Algeria health sector
Abstract:
The hospital environment is characterised by stressful situations and constant pressures. Resilience is essential for healthcare professionals to cope with these challenges and maintain their well-being and effectiveness. This study aims to assess the level of resilience and its relationship with socio-demographic factors among healthcare professionals working in hospitals in the Algerian province of Batna. To this end, a cross-sectional survey based on an anonymous, self-administered questionnaire (resilience scale-25) was conducted in healthcare settings of Batna-Algeria. Socio-demographic characteristics and resilience attributes were analysed using descriptive and inferential statistics. The results indicate, on the one hand, a low level of resilience among healthcare professionals (mean RS-25 score = 115.63) and, on the other, a significant relationship between resilience and socio-demographic factors (p < 0.05). Consequently, the hospitals studied need to adopt appropriate strategies to continuously improve healthcare professionals' resilience.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 185-202
Issue: 2
Volume: 15
Year: 2025
Keywords: resilience; healthcare professionals; socio-demographic factors; assessment; Algeria.
File-URL: http://www.inderscience.com/link.php?id=146409
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:2:p:185-202

Template-Type: ReDIF-Article 1.0
Author-Name: Abhaya Sanatan Satpathy
Author-X-Name-First: Abhaya Sanatan
Author-X-Name-Last: Satpathy
Author-Name: Suresh Kumar Sahoo
Author-X-Name-First: Suresh Kumar
Author-X-Name-Last: Sahoo
Author-Name: Asit Mohanty
Author-X-Name-First: Asit
Author-X-Name-Last: Mohanty
Author-Name: Pragyan P. Mohanty
Author-X-Name-First: Pragyan P.
Author-X-Name-Last: Mohanty
Author-Name: Bijay Kumar Paikaray
Author-X-Name-First: Bijay Kumar
Author-X-Name-Last: Paikaray
Author-Name: Reji Kumar Rajamony
Author-X-Name-First: Reji Kumar
Author-X-Name-Last: Rajamony
Title: Enterprise risk management: effects of the pandemic on the revival and success of India's micro, small, and medium-sized enterprises
Abstract:
The devastating effect of COVID-19 came as a never-ending nightmare for humanity. The present pandemic situation has an adverse deep impact on Indian micro, small and medium enterprises (MSME). The process of vaccination is a great relief; still, the 2nd wave of COVID-19 forced Indian states to resort to social distancing through the lockdown and shutdown. This has put a question mark on the fate of the MSMEs. The current study examines the impact of the COVID-19 pandemic on the employees' turnaround, productivity, demand, supply chain, sales, cash flow, and profitability of MSMEs. Although the majority of the research was conducted in the first wave of COVID-19 in India, current work made a remarkable difference in focusing on the effect of the later stage of 2nd wave of COVID-19; it gives a clearer picture of vulnerability as compared to earlier studies. The paper covers the entrepreneurs' perspective supported by empirical evidence.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 144-168
Issue: 2
Volume: 15
Year: 2025
Keywords: micro, small and medium enterprises; MSME; success factors; pandemic; productivity; cash flow; social implications; India.
File-URL: http://www.inderscience.com/link.php?id=146411
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:2:p:144-168

Template-Type: ReDIF-Article 1.0
Author-Name: Bijay Kumar Paikaray
Author-X-Name-First: Bijay Kumar
Author-X-Name-Last: Paikaray
Author-Name: Satyajit Pattnaik
Author-X-Name-First: Satyajit
Author-X-Name-Last: Pattnaik
Author-Name: Varadarajan Sowmya Damodharan
Author-X-Name-First: Varadarajan Sowmya
Author-X-Name-Last: Damodharan
Author-Name: Jayanta Mondal
Author-X-Name-First: Jayanta
Author-X-Name-Last: Mondal
Author-Name: Priya Lakshmi Narasimhan
Author-X-Name-First: Priya Lakshmi
Author-X-Name-Last: Narasimhan
Author-Name: Tiruveeduula Gopikirishna
Author-X-Name-First: Tiruveeduula
Author-X-Name-Last: Gopikirishna
Title: Enhancing digital content integrity in social networks: a systematic review of semi-fragile watermarking techniques for crisis management and risk mitigation
Abstract:
Digital watermarking is one of the advancing technologies that have played a vital role in data integrity. With diverse applications in mind, researchers and developers have explored and crafted various watermarking methods for embedding data into digital multimedia content. This research delves into the cutting-edge world of semi-fragile watermarking techniques, reshaping how end users safeguard and verify the integrity of digital content on the edge of social networks. To grasp the direction, various approaches have been thoroughly examined and implemented to aid the researcher in understanding. Understanding the latest techniques for hardware requirements, dataset utilisation, and performance metrics is essential. Hence, the main aim of this research paper is to carry out a methodical literature review that evaluates research deficiencies, current developments, and obstacles, and tackles research inquiries, offering insightful perspectives for future studies. Ultimately, this systematic review could serve as a foundation for prospective researchers.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 203-219
Issue: 3
Volume: 15
Year: 2025
Keywords: semi-fragile; digital watermarking; media forensics; content tracking; discrete wavelet transform; DWT; discrete cosine transform; DCT.
File-URL: http://www.inderscience.com/link.php?id=148355
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:3:p:203-219

Template-Type: ReDIF-Article 1.0
Author-Name: Bhavani Ranbida
Author-X-Name-First: Bhavani
Author-X-Name-Last: Ranbida
Author-Name: Debabala Swain
Author-X-Name-First: Debabala
Author-X-Name-Last: Swain
Author-Name: Bijay Kumar Paikaray
Author-X-Name-First: Bijay Kumar
Author-X-Name-Last: Paikaray
Title: Strengthening crisis management and business resiliency through multi-resolution passive forgery detection for digital image authenticity
Abstract:
In recent years, due to various freely available software-altering tools, a massive forgery of digital images transpires over the web. The image forgery issues have become a big concern in ensuring the originality and authenticity of digital information. It is crucial as it includes areas like forensic images, newspaper photos, crime forensic images, digital copies of laws and orders, copies of insurance policies, healthcare reports, etc. which could be a disaster if any tampering is there in the mentioned field. Multiple approaches have been proposed to identify this counterfeit detection in digital images. This paper has comprehensively analysed the recently used methods for multi-resolution passive attacks on digital image tampering detection. According to the analysis and result, we discuss key points of different proposed methods and compare their performance such as accuracy, time duration, etc. Based on the analysis, we can conclude the possible future research directions in a multi-resolution passive image forgery detection approach. It also evaluates the procedures for more accuracy while detecting the forged region. The main aim is to identify forged regions in digital images without modifying the original information.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 220-233
Issue: 3
Volume: 15
Year: 2025
Keywords: multi-resolution; passive attack; image forensics; copy-move attack; splicing attack; crisis management; business resilience.
File-URL: http://www.inderscience.com/link.php?id=148356
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:3:p:220-233

Template-Type: ReDIF-Article 1.0
Author-Name: Kenneth David Strang
Author-X-Name-First: Kenneth David
Author-X-Name-Last: Strang
Title: Estimating cyber attack risk from healthcare employee behaviour using a HEXACO machine learning model
Abstract:
Cyber attack risk is examined by collecting a sample from healthcare business employees using the previously validated six-factor HEXACO personality theory construct from the psychology discipline. Cybercrime theories and studies are reviewed from sociology, criminology and computer science. The research design involved developing a predictive logistic regression model using machine learning. Control variables were added to capture fixed participant demographics. The result was a significant model with 95% classification accuracy, and a 60% McFadden effect size. Two of the six HEXCACO factors predicted cyber attack risk: humility and openness, while none of the control variables had any impact.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 234-262
Issue: 3
Volume: 15
Year: 2025
Keywords: HEXACO personality theory; cyber attack; cybersecurity; machine learning; employee attributes; healthcare business; psychology.
File-URL: http://www.inderscience.com/link.php?id=148357
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:3:p:234-262

Template-Type: ReDIF-Article 1.0
Author-Name: Juan Gabriel Vanegas-López
Author-X-Name-First: Juan Gabriel
Author-X-Name-Last: Vanegas-López
Author-Name: Jorge Aníbal Restrepo-Morales
Author-X-Name-First: Jorge Aníbal
Author-X-Name-Last: Restrepo-Morales
Author-Name: Martin Manuel Grados-Vasquez
Author-X-Name-First: Martin Manuel
Author-X-Name-Last: Grados-Vasquez
Author-Name: Diego Alejandro López-Cadavid
Author-X-Name-First: Diego Alejandro
Author-X-Name-Last: López-Cadavid
Author-Name: Lucio Wilfredo Olórtiga-Cóndor
Author-X-Name-First: Lucio Wilfredo
Author-X-Name-Last: Olórtiga-Cóndor
Title: Competitive strategies in Colombian and Peruvian SMEs: a comparative study
Abstract:
This study analyses the competitive strategies adopted by 50 SMEs during crises, 24 in Colombia and 26 in Peru. By applying the analytic hierarchy process to 294 decision matrices derived from these firms, it was found that differentiation and service development are essential for SMEs in both countries. However, Colombian firms tend to focus on core competencies and diversification within their existing markets (concentric strategies and diversification into related areas), whilst Peruvian SMEs focus on highly segmented and customised products. The findings demonstrate the importance of innovation, market awareness and adaptability to manage crises effectively. This research provides valuable insights into the strategic approaches adopted by small firms in developing countries and offers guidance to entrepreneurs and policy makers on how to promote resilience and competitiveness in challenging times.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 263-288
Issue: 3
Volume: 15
Year: 2025
Keywords: crisis management; strategic management; competitive strategies; SMEs; analytic hierarchy process; AHP; developing countries; Colombia; Perú.
File-URL: http://www.inderscience.com/link.php?id=148358
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:3:p:263-288

Template-Type: ReDIF-Article 1.0
Author-Name: Abderraouf Bouafia
Author-X-Name-First: Abderraouf
Author-X-Name-Last: Bouafia
Author-Name: Mohammed Bougofa
Author-X-Name-First: Mohammed
Author-X-Name-Last: Bougofa
Author-Name: Ammar Chakhrit
Author-X-Name-First: Ammar
Author-X-Name-Last: Chakhrit
Title: BORA-BN, an integrated approach for risk assessment in the process industry
Abstract:
The presented paper exhibits the conversion of the barriers operability risk analysis method (BORA) into a flexible tool, the Bayesian network framework (BN), aiming to strengthen safety risk assessments in industries. BORA is traditionally employed to assess the performance of barrier safety in multi-systems, which eventually encounter many limitations in dynamic risk assessment, dependency, and uncertainty usage. The integration of BN addresses these limitations and offers an adaptive model that can handle probabilistic approaches. This conversion permits an instantaneous updating of risk level values, leveraging the interdependencies of safety barriers and incorporating the newest data and information. The proposed methodology includes the transformation of BORA's into a network of probabilistic variables, which enhance the predictive precision and decision-making. This paper highlights the significance of the proposed approach, including uncertainty and sensitivity analysis. The case study illustrates in practice the benefits of the usage of the BORA-BN in the industry.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 289-321
Issue: 3
Volume: 15
Year: 2025
Keywords: Bayesian network; BN; barrier's operability risk analysis; BORA; risk assessment; probabilistic assessment; RIF's weight and score; sensitivity analysis RoV.
File-URL: http://www.inderscience.com/link.php?id=148362
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:3:p:289-321

Template-Type: ReDIF-Article 1.0
Author-Name: Gillian Lutz
Author-X-Name-First: Gillian
Author-X-Name-Last: Lutz
Author-Name: Flip Schutte
Author-X-Name-First: Flip
Author-X-Name-Last: Schutte
Title: Enhancing resilience in public sector business continuity: lessons from the Western Cape Government, South Africa
Abstract:
Resilience has become a critical capability for public sector organisations navigating increasingly complex and frequent disruptions. This study examines how the Western Cape Government (WCG) in South Africa conceptualised and operationalised resilience through its business continuity practices during successive crises, including COVID-19, the Day Zero water crisis, and ongoing electricity shortages. Using a qualitative case study approach that involves semi-structured interviews and document analysis, the research identifies key resilience-building mechanisms, including adaptive leadership, flexible continuity planning, cross-departmental collaboration, and institutional learning. The findings reveal that while business continuity planning provided essential operational scaffolding, true resilience emerged from the organisation's ability to adapt, learn, and respond dynamically to evolving threats. By integrating theoretical frameworks such as Linnenluecke's triadic model, ISO 22316, and the VUCA/BANI paradigms, the study provides a context-sensitive analysis of public sector resilience in a resource-constrained and politically complex environment. It contributes to the growing discourse on resilience by demonstrating how structured continuity planning must be complemented by strategic agility and psychological readiness to ensure effective governance in the Global South.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 1-25
Issue: 5
Volume: 15
Year: 2025
Keywords: adaptive leadership; business continuity; crisis management; governance in the Global South; institutional learning; public sector; resilience; Western Cape Government; WCG; South Africa.
File-URL: http://www.inderscience.com/link.php?id=149032
File-Format: text/html
File-Restriction: Open Access
Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:5:p:1-25

Template-Type: ReDIF-Article 1.0
Author-Name: Rakesh Kumar
Author-X-Name-First: Rakesh
Author-X-Name-Last: Kumar
Author-Name: Ayushi Sharma
Author-X-Name-First: Ayushi
Author-X-Name-Last: Sharma
Author-Name: V.S. Damodharan
Author-X-Name-First: V.S.
Author-X-Name-Last: Damodharan
Author-Name: Girija Nandini
Author-X-Name-First: Girija
Author-X-Name-Last: Nandini
Author-Name: Bijay Kumar Paikaray
Author-X-Name-First: Bijay Kumar
Author-X-Name-Last: Paikaray
Author-Name: Madhusmita Mohanty
Author-X-Name-First: Madhusmita
Author-X-Name-Last: Mohanty
Title: Cognitive computing in crisis management: ethical considerations, societal security implications, and strategic directions for organisational resilience and risk governance
Abstract:
This research aims to review the ethical considerations and societal security implications of cognitive computing technology. Cognitive computing is transforming in different sectors like healthcare, education, and supply chain management, but ethical concerns like accountability, compliance risk, and bias persist. The study reviews the social implications of cognitive computing, a technique used in fast decision-making, repetitive tasks, and cyber security protection. An extensive assessment of pertinent material from various sources, different databases like Scopus, Web of Science, Google Scholar, which included research papers, books, proceedings, etc. The study reviewed on ethical and social issues related to privacy, data protection, human behaviour, and job determinants. Different algorithms of cognitive computing were used to enhance efficiency in different sectors. These technologies can reduce the management burden in the organisation.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 323-340
Issue: 4
Volume: 15
Year: 2025
Keywords: cognitive computing; ethical issues; social security implication artificial intelligence.
File-URL: http://www.inderscience.com/link.php?id=150163
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:4:p:323-340

Template-Type: ReDIF-Article 1.0
Author-Name: Rakesh Kumar
Author-X-Name-First: Rakesh
Author-X-Name-Last: Kumar
Author-Name: V.S. Damodharan
Author-X-Name-First: V.S.
Author-X-Name-Last: Damodharan
Author-Name: Satyajit Pattnaik
Author-X-Name-First: Satyajit
Author-X-Name-Last: Pattnaik
Author-Name: Girija Nandini
Author-X-Name-First: Girija
Author-X-Name-Last: Nandini
Author-Name: Bijay Kumar Paikaray
Author-X-Name-First: Bijay Kumar
Author-X-Name-Last: Paikaray
Title: AI in marketing: strengthening business continuity by navigating security, privacy, and trust amid behavioural, ethical, and technological challenges
Abstract:
The aim of this study is to address the artificial intelligence (AI) issues in marketing research. This study conducted a comprehensive analysis of this issue using AI tools. AI can address ethical concerns, lack of regulation, and fear of duplication. It can connect marketing, customers, and the organisation's ecosystem, promoting transparent communication and a positive organisational environment. Advanced tools like ChatGPT, chatbots, power BI, and excel can provide more accurate and efficient data collection, analysis, and prediction. However, issues like data theft, compromised accuracy, and lack of awareness about AI tools in marketing research remain continue. The study identified several challenges related to security, trust, privacy, etc. The study highlights the potential of using AI tools in marketing research in the future. The study recommended effective tools to address these issues. AI-driven marketing algorithms can improve effectiveness of behavioural and culture dilemmas and potentially changing society. The study examined the background of AI in marketing research as well as issues related to security, privacy, trust, and ethics. The study delves into how AI can be more effective in marketing research.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 373-390
Issue: 4
Volume: 15
Year: 2025
Keywords: artificial intelligence; AI; security; privacy; trust; marketing research; business; virtual; ethical.
File-URL: http://www.inderscience.com/link.php?id=150165
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:4:p:373-390

Template-Type: ReDIF-Article 1.0
Author-Name: P. Maneesh
Author-X-Name-First: P.
Author-X-Name-Last: Maneesh
Author-Name: P.K. Govindaprasad
Author-X-Name-First: P.K.
Author-X-Name-Last: Govindaprasad
Author-Name: Ashraf Pulikkamath
Author-X-Name-First: Ashraf
Author-X-Name-Last: Pulikkamath
Author-Name: A.G. Gnaneswari
Author-X-Name-First: A.G.
Author-X-Name-Last: Gnaneswari
Title: Assessing illness prevalence, treatment strategies, and healthcare access barriers among refugee populations
Abstract:
This study aims to investigate healthcare services for Sri Lankan Tamil refugees residing in Tamil Nadu, India, by assessing the prevalence of illnesses, treatment strategies utilised, and challenges in accessing healthcare services. Data were collected from a sample of 338 refugees through structured interviews and analysed via statistical methods. The findings revealed that respiratory infections were the most common illnesses, followed by mental health disorders. Nearly 75% of refugees relied on modern medicine, with only a small percentage seeking traditional medical treatment (Ayurveda) and self-medication. The main barriers to healthcare access identified were a lack of financial resources and language barriers. This study underscores the need for improved healthcare access for this population. Overcoming these barriers and encouraging access to modern medical treatment can greatly improve health outcomes. Furthermore, ensuring equitable access to healthcare and improving overall health outcomes is crucial for advancing social justice among refugees.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 391-417
Issue: 4
Volume: 15
Year: 2025
Keywords: morbidity prevalence; healthcare accessibility; treatment strategies; statelessness; healthcare disparities.
File-URL: http://www.inderscience.com/link.php?id=150177
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:4:p:391-417

Template-Type: ReDIF-Article 1.0
Author-Name: Gurmeet Singh
Author-X-Name-First: Gurmeet
Author-X-Name-Last: Singh
Author-Name: Ravi Singla
Author-X-Name-First: Ravi
Author-X-Name-Last: Singla
Title: Mapping the knowledge domain of default risk prediction and its relationship with stock returns: current trends and future directions
Abstract:
Is default risk priced into stock returns, and how is it explained? This question is of prime importance from the investor's point of view, and contradictory findings are present in the literature. Focusing on emerging economies, the study analyses 193 research articles published between 1993 and February 2024, obtained from the Scopus database and analysed using VOSviewer. The results indicate that this domain has evolved significantly in the last several years, especially after 2008. The research also conducts a content analysis and identifies four main clusters that focus on default prediction, asset-pricing models, portfolio construction strategies, the relationship of default risk with stock returns, Credit default swaps, and the association between bond ratings and returns. All things considered, the study offers an extensive overview for academics and professionals who seek to understand how default risk predicts stock return patterns and how it affects investment strategies.
Journal: Int. J. of Business Continuity and Risk Management
Pages: 418-436
Issue: 4
Volume: 15
Year: 2025
Keywords: asset pricing models; bankruptcy prediction models; bibliometric analysis; credit default swaps; default risk; financial distress; investor sentiments; risk premium; stock returns.
File-URL: http://www.inderscience.com/link.php?id=150178
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:4:p:418-436

Template-Type: ReDIF-Article 1.0
Author-Name: Preeti Dua
Author-X-Name-First: Preeti
Author-X-Name-Last: Dua
Title: Exploring the nexus between bank age, size, risks and profitability: an empirical study of Indian private banks
Abstract:
The purpose of this study is to investigate the relationship between bank profitability, risks, size, and age. The study first looks at how age and size affect profitability, and then it looks at how profitability affects bank risks. The data were gathered from Prowess database of CMIE for all the variables of 19 private sector banks over 14 fiscal years, from 2009-2010 to 2022-2023. The study found that age and size had distinct direct effects on various risk types, with size alone causing significant effects on operational risk (OPR), credit risk (CDR), liquidity risk (LQR), interest rate risk, (IRR) and compliance and regulatory risk (CRR). Profitability was also significantly influenced by age and size, but as a mediator, it only affected interest rate risk, (IRR), credit risk (CDR), and compliance and regulatory risks (CRR). The total joint effect was significant on all risks excepting operational risk (OPR).
Journal: Int. J. of Business Continuity and Risk Management
Pages: 341-372
Issue: 4
Volume: 15
Year: 2025
Keywords: internal control; bank age; bank size; profitability; private banks; bank risks; India.
File-URL: http://www.inderscience.com/link.php?id=150180
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Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:4:p:341-372