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International journal of risk and contingency management
IGI Publishing
International journal of risk and contingency management

IGI Publishing

季刊

2160-9624

International journal of risk and contingency management/Journal International journal of risk and contingency management
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    An Analysis of Global Stock Markets With the Autoregressive Distributed Lag Method

    Hakan Altin
    1-21页
    查看更多>>摘要:The primary objective of this study is to create the first examination of the global stock markets using the ARDL method. The ARDL model provides a solution that shows the short-run and long-run relationships together by removing the constraint of the series that are stationary in the traditional cointegration models. The period examined in the study, in which daily data is used, is between 01/03/2000 - 12/31/2022. Two significant results were obtained as a consequence of the implementation phase. First, there is a causal cointegration relationship between European stock markets, BRIC stocks, and American stock markets in the short run and long ran. The cointegration relationship between global stock markets transforms national economies into international economies. The interdependence between global stock markets is considerably strong. This situation diminishes the utility of international diversification explained in portfolio management. Second, the relatively new ARDL technique gives similar results to conventional cointegration tests.

    Risks Associated With the Entrepreneurship Education During the Pandemic: A Perceptual Display of UAE Business Students

    Rajasekhara Mouly PotluriPremila KoppalakrishnanJahadhiya Firdausi M.
    22-33页
    查看更多>>摘要:The paper aims to investigate the perceptual displays of UAE business students on selecting entrepreneurship education as a career option along with challenges faced in the present pandemic situation. The study collected the opinions of 500 business program students from different universities in the UAE by administering questionnaires and personal interviews. Then the compiled data were encapsulated and inscribed using Software R Studio and Microsoft Excel. The study emphasized that UAE business pupils are not concerned about selecting entrepreneurship as their career option during the pandemic due to the risks involved. Mobilizing capital, uncertainty, and risk of failure impede the UAE business students from becoming entrepreneurs during the pandemic. On the other hand, the empirical evidence indicates that entrepreneurship education is vital to motivating students' professional preferences. Therefore, higher education institutions must play a pivotal role in promoting entrepreneurship as another career option.

    Information Security Policies in Nigerian Institutions: Evaluation and Readiness

    Adeyemi Abel AjibesinKasim MaharazuOlusegun Ogundapo
    34-55页
    查看更多>>摘要:Information systems have become part and parcel of today's business operations, with competition on its rise. The security challenges related to information systems could have a severe impact on the overall business objectives of an institution if not handled at the right time. A well-meaning institution must take a full-blown step towards information security management to achieve information security. Information security management has been seen as any management system to address the security issues affecting an institution and align security needs to the overall business objectives. Conversely, information security policy is the foundation upon which institutions base their entire information security management. This study looks at the uptake of information security policy among Nigerian institutions. The survey result created a clear picture of the uptake of information security policy among Nigerian institutions.

    The Inevitability of Escalating Energy Usage for Popular Proof-of-Work Cryptocurrencies: Dimensions of Cryptocurrency Risk

    Colin Read
    56-72页
    查看更多>>摘要:A few financial market innovations offer the opportunities to enhance transaction efficiency, as do blockchain and cryptocurrencies. The author demonstrates that this industry's unusual demand and supply relationship results in ever-increasing energy consumption if proof-of-work currencies rise in price faster than mining rewards decay. This previously undocumented challenge poses a global warming risk. In addition, the accessibility and opacity of many cryptocurrencies create financial risks for inexperienced speculators. Digital currencies also reduce the ability of central banks to conduct monetary policy and challenge regulatory authorities to promulgate rules to protect the economy and consumers. The author explores these various risks, demonstrates how the design of proof-of-work cryptocurrency mining frustrates the efficiency they promise, and describes mechanisms that would allow cryptocurrencies based on the blockchain to live up to their immense potential.

    A Machine Learning Technique for Rice Blast Disease Severity Prediction Using K-Means SMOTE Class Balancing

    Varsha M.Poornima B.Pavan Kumar
    73-99页
    查看更多>>摘要:Rice blast disease is strongly dependent on environmental and climate factors. This paper demonstrates the integration of a rice blast disease severity prediction model based on climate factors, providing a decision-support framework for farmers to overcome these problems. The major contribution of the proposed study is to predict the severity of rice blast disease using the linear SVM model. Prediction of rice blast disease severity is divided into four classes: 0, 1,2, and 3. Data imbalance is the most challenging problem in multi-class classification. This study has efficiently handled imbalanced data using k-means SMOTE and SMOTE oversampling techniques to balance training and testing data. Finally, cross-location and cross-year models are developed using a linear support vector machine and predict the severity of rice blast disease to the classes 0, 1,2, 3, respectively. Cross-year and cross-location models are cross-validated using five-fold cross-validation.

    The Role of Mutual Benefit in Informal Risk Management

    Mohammed Al BalushiJake Ansell
    100-117页
    查看更多>>摘要:Informal risk management is widely practiced as it can be more agile and flexible compared to formal methods. There are abundant research studies covering areas such as technical and social aspects of informal risk management. Often a holistic approach is advocated integrating inputs coming from informal networks to consider, inter alia, social, cultural, and emotional factors. These studies, though, fail to explore the motivation and do not account for the role of mutual benefit. Using ethnographic and interview data, the authors tackle the issue of how decision makers consider the interests of all relevant stakeholders, the role mutual benefit plays in informal risk management, and the impact of the formal structure on informal risk management. The findings show that mutual benefit is an essential pillar for informal risk management by both stimulating the required response and balancing interests. Also, the formal structure impacts the informal network through the influence and ranks it confers on members and by setting consequential limits.

    Investigating the Integration of Quality Management Systems Into Management Information Systems: Case Study in Nigeria

    Adeyemi Abel AjibesinPrecious Prince Diden
    118-140页
    查看更多>>摘要:This study investigates integrating quality management systems (QMS) into an organization's management information system (MIS) and the risks involved in this integration. Quality management is a serious concern among organizations in the developing world, including Nigeria. Customers and investors gravitate to where there are quality products and services. Multiple case study research method was applied; this involves three organizations within Adamawa state in Nigeria. The three organizations examined for this study operated in three different economic sectors: educational, service industry, and manufacturing. Two IS theories adopted were IS success model and the technology acceptance model (TAM). After the data analysis, the initial research model was redesigned, and a new construct was added. The study revealed that the organization investigated runs MIS and QMS as separate systems but was confident that integrating the two management systems would help manage quality.

    Theory and Practice in Contingency Allocation: Characterizing Evidence From a Multiple Case Study in Sri Lanka

    Chandana JayalathIresha Gamage
    141-156页
    查看更多>>摘要:Although contingency allocation management is widely accepted as a proactive concept rich in theories, its applications do not seem to be well embraced in many countries due to many factors. This study aims to broadly investigate this theory-practice gap concerning contingency allocation in building projects in Sri Lanka. Twelve case studies with a desk review on seven local projects were carried out to explore the contingency allocation practice at the site level. Fifteen independent consultants were interviewed to share an understanding of the practical relevance of this research while largely eliminating the need for further justification. Code-based content analysis was used to analyze data. Nearly 44 incremental approaches were found to have theoretically evolved in a history of 35 years. It was revealed that the practice of ascertaining contingency sums is ad-hoc, informal, and subjective. More than 25 gaps were detected, while nearly 50 strategies were introduced. An impression among the practitioners is that the formal methods are overly theoretical.

    How Confirmation Bias Influences Risk and Contingency Management: Lessons From Global Leaders' Responses to the 2020 Pandemic

    Ji LiXiaolong TaoTing GongXin Li...
    157-168页
    查看更多>>摘要:Abundant research has documented the negative effects of confirmatory bias in a broad range of managerial decision-making contexts. However, insufficient research has been conducted on the effect of confirmatory bias on risk and contingency management. This article addresses the research gap by examining how confirmatory bias may affect global leaders' responses to the COVID-19 pandemic. Based on a comprehensive literature review of prior research and empirical evidence, the authors illustrate the relationship between confirmatory bias and organizational performance in disaster management and identify several important mediators and moderators, which influence the relationship between confirmatory bias and the performance of human collectives in disaster management.

    Online Retail Systems in the Global COVID-19 Pandemic

    Nickia Chambers-SaulsMahesh S. RaisinghaniEfosa Carroll IdemudiaJorge Medina...
    169-184页
    查看更多>>摘要:The COVID-19 global pandemic has threatened the global economy and poses serious daily challenges to companies, organizations, and firms worldwide. The paper focuses on the adaptations to changes made by retailers through their online retail systems in response to the COVID-19 pandemic of 2020 and 2021. This study begins with the benefits of online retail and then explains the differences between thriving and failing businesses. These changes are derived from CDC recommendations and guidelines that drove businesses to implement new marketing and business techniques and resort to online sales. Also discussed are the challenges of online retail systems such as security and fraud, customer loyalty and trust, inventory management, and malfunctions of online retail infrastructure. These challenges lead the paper into the complications of any business which failed to adapt to the pandemic. Furthermore, the authors highlight implications for theory and research.