International Journal of Business Continuity and Risk Management (5 papers in press)

Regular Issues

• Cognitive Computing in Crisis Management: Ethical Considerations, Societal Security Implications, and Strategic Directions for Organisational Resilience and Risk Governance  
  by Rakesh Kumar, Ayushi Sharma, Damodharan V. S., Girija Nandini, Bijay Kumar Paikar, Madhusmita Mohanty 
  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 review 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 to enhance efficiency in different sectors. These technologies can reduce the management burden in the organisation.
  Keywords: Cognitive Computing; Ethical Issues; Social Security Implication Artificial Intelligence.
  DOI: 10.1504/IJBCRM.2025.10070751
   
  
• AI in Marketing: Strengthening Business Continuity by Navigating Security, Privacy, and Trust Amid Behavioural, Ethical, and Technological Challenges  
  by Rakesh Kumar, Damodharan V. S., Satyajit Pattnaik, Girija Nandini, Bijay Kumar Paikaray 
  Abstract: Aim of this study 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.
  Keywords: Artificial intelligence; Security; Privacy; Trust; Marketing Research; Business; Virtual; Ethical.
  DOI: 10.1504/IJBCRM.2025.10071476
   
  
• Assessing Illness Prevalence, Treatment Strategies, and Healthcare Access Barriers Among Refugee Populations  
  by Maneesh P, P.K. Govindaprasad, Ashraf Pulikkamath, A.G. Gnaneswari 
  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 per cent 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.
  Keywords: Morbidity prevalence; Healthcare accessibility; Statelessness; Treatment strategies; Healthcare disparities.
  DOI: 10.1504/IJBCRM.2025.10074056
   
  
• Mapping the Knowledge Domain of Default Risk Prediction and its Relationship with Stock Returns: Current Trends and Future Directions  
  by Gurmeet Singh, Ravi Singla 
  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.
  Keywords: Asset Pricing Models; Bankruptcy Prediction Models; Bibliometric Analysis; Credit Default Swaps; Default Risk; Financial Distress; Investor Sentiments; Risk Premium; Stock Returns.
  DOI: 10.1504/IJBCRM.2025.10074173
   
  
• Exploring the Nexus between Bank Age, Size, Risks, and Profitability: An Empirical Study of Indian Private Banks  
  by Preeti Dua 
  Abstract: The financial standing and risk profile of banks are significantly influenced by both their age and size. Therefore, the purpose of this study is to investigate the relationship between bank profitability, risks, size, and age. The age and size of banks have been used as proxies for internal control efficacy. 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 20092010 to 20222023. 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).
  Keywords: Internal Control; Bank Age; Bank Size; Profitability; Private Banks; Bank Risks.
  DOI: 10.1504/IJBCRM.2025.10074357