Today, Big Data plays an imperative role in the creation, maintenance and loss of cyber assets of organisations. Research in connection to Big Data and cyber asset management is…
Abstract
Purpose
Today, Big Data plays an imperative role in the creation, maintenance and loss of cyber assets of organisations. Research in connection to Big Data and cyber asset management is embryonic. Using evidence, the purpose of this paper is to argue that asset management in the context of Big Data is punctuated by a variety of vulnerabilities that can only be estimated when characteristics of such assets like being intangible are adequately accounted for.
Design/methodology/approach
Evidence for the study has been drawn from interviews of leaders of digital transformation projects in three organisations that are within the insurance industry, natural gas and oil, and manufacturing industries.
Findings
By examining the extant literature, the authors traced the type of influence that Big Data has over asset management within organisations. In a context defined by variability and volume of data, it is unlikely that the authors will be going back to restricting data flows. The focus now for asset managing organisations would be to improve semantic processors to deal with the vast array of data in variable formats.
Research limitations/implications
Data used as evidence for the study are based on interviews, as well as desk research. The use of real-time data along with the use of quantitative analysis could lead to insights that have hitherto eluded the research community.
Originality/value
There is a serious dearth of the research in the context of innovative leadership in dealing with a threatened asset management space. Interpreting creative initiatives to deal with a variety of risks to data assets has clear value for a variety of audiences.
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Kamran Munir, Saad Liaquat Kiani, Khawar Hasham, Richard McClatchey, Andrew Branson and Jetendr Shamdasani
The purpose of this paper is to provide an integrated analysis base to facilitate computational neuroscience experiments, following a user-led approach to provide access to the…
Abstract
Purpose
The purpose of this paper is to provide an integrated analysis base to facilitate computational neuroscience experiments, following a user-led approach to provide access to the integrated neuroscience data and to enable the analyses demanded by the biomedical research community.
Design/methodology/approach
The design and development of the N4U analysis base and related information services addresses the existing research and practical challenges by offering an integrated medical data analysis environment with the necessary building blocks for neuroscientists to optimally exploit neuroscience workflows, large image data sets and algorithms to conduct analyses.
Findings
The provision of an integrated e-science environment of computational neuroimaging can enhance the prospects, speed and utility of the data analysis process for neurodegenerative diseases.
Originality/value
The N4U analysis base enables conducting biomedical data analyses by indexing and interlinking the neuroimaging and clinical study data sets stored on the grid infrastructure, algorithms and scientific workflow definitions along with their associated provenance information.
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Manal Munir, Muhammad Shakeel Sadiq Jajja and Kamran Ali Chatha
This study aims to identify critical capabilities to address unforeseen and novel disruptions, such as those instigated by COVID-19, and explore their role as essential enablers…
Abstract
Purpose
This study aims to identify critical capabilities to address unforeseen and novel disruptions, such as those instigated by COVID-19, and explore their role as essential enablers of supply chain resilience and responsiveness, leading to improved performance.
Design/methodology/approach
The structural equation modeling technique was employed for analyzing the proposed associations using survey data from 206 manufacturers operating during the COVID-19 pandemic in a developing country, Pakistan.
Findings
Key findings show how improvisation and anticipation act distinctly yet jointly to facilitate supply chain resilience and responsiveness during the COVID-19 pandemic. Also, data analytics capability positively affects anticipation and improvisation, which mediate the effect of data analytics on supply chain resilience and responsiveness.
Research limitations/implications
The findings contribute to the theoretical and empirical understanding of the existing literature, suggesting that a combination of improvisation, anticipation and data analytics capabilities is highly imperative for enhancing supply chain resilience and responsiveness in novel and unexpected disruptions.
Originality/value
This is the first study to examine the impact of data analytics on improvisation and anticipation and the latter as complementary capabilities to enhance supply chain resilience and responsiveness. The empirical investigation explores the interplay among data analytics, improvisation, and anticipation capabilities for enhancing supply chain resilience, responsiveness, and performance during the unforeseen and novel disruptions, such as brought to bear by the COVID-19 pandemic.
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Amina Muazzam, Aqsa Shabbir, Naveed Iqbal, Muhammad Faran, Mubeena Munir and Fatima Kamran
Sexual harassment on public transport puts women at risk of mental health problems, apart from disrupting their lives and the harmful social consequences. This is especially the…
Abstract
Purpose
Sexual harassment on public transport puts women at risk of mental health problems, apart from disrupting their lives and the harmful social consequences. This is especially the case for Pakistani women, for whom sexual harassment has been on the rise for the past decade. This study aims to explore how Pakistani women use strategies to cope with sexual harassment when using public transport and its mediating role in their issues with mental health.
Design/methodology/approach
Given that the data collection task on such a culturally sensitive topic was crucial, a mobile application for anonymized data collection was used, which appeared to be an effective strategy. Using the mobile application, 1,054 women who use public transport submitted their responses; however, the analysis is based on 250 usable responses. Their experience of harassment was measured using the Sexual Harassment Experience Questionnaire, their mental health using the Depression Anxiety Stress Scales and their coping strategies by the Brief Cope Inventory.
Findings
The results indicate that adaptive coping is a significant negative mediator between sexual harassment and mental well-being, whereas maladaptive coping is non-significant. Adaptive coping, i.e. “Acceptance” to admit the reality that the problem exists with all, and “Religion” to seek help spiritually to deal with the problem. Unfortunately, the findings show no suitable coping means to deal with the impact of sexual harassment on women who travel on public transport. This study also illustrates that using the right technologies can encourage participants to submit responses for culturally sensitive topics.
Originality/value
This study provides insight into the experience of street harassment in Pakistani women and how it is related to mental health. This study also explores the role of adaptive and maladaptive coping as an intervening variable between street harassment and mental health.
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Mohd Mohid Rahmat, Balachandran Muniandy and Kamran Ahmed
The purpose of this paper is to examine the effect of related party transactions (RPTs) and types of RPTs (complex, simple and loan) on earnings quality in four East Asian…
Abstract
Purpose
The purpose of this paper is to examine the effect of related party transactions (RPTs) and types of RPTs (complex, simple and loan) on earnings quality in four East Asian countries: Hong Kong, Malaysia, Singapore and Thailand.
Design/methodology/approach
RPTs and types of RPTs are measured using two approaches, magnitude and abnormal (magnitude change). Earnings quality is measured using proxies for accrual earnings management and identified as discretionary accruals (DAC) and performance matched discretional accruals (PMDAC).
Findings
The results suggest that firms in these countries experience poor earnings quality when they are engaged in RPT. The effect of RPT-simple on earnings quality is more severe than RPT-complex. However, the presence of higher investor protection and stricter enforcement of regulations in countries like Singapore and Hong Kong reduce the negative impact of RPTs on earnings quality.
Research limitations/implications
The results support the argument that the presence of controlling shareholders in East Asia is likely to lead to engagement with RPTs, which will increase the likelihood of firms’ earnings manipulation via DAC. This study has two limitations. It only focuses on Hong Kong, Malaysia, Singapore and Thailand, and the results may not be generalizable to other countries. Second, this study only measures the magnitude and abnormal RPTs based on the disclosures available in annual reports.
Originality/value
This paper contributes to the literature by examining the effect of RPTs and types of RPTs on earnings quality in four selected East Asian countries.
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Kamran Ali Chatha, Muhammad Shakeel Sadiq Jajja, Fatima Gillani and Sami Farooq
This paper aims to investigate the role of organizational and technological enablers and their arrangement and alignment with the external environment to facilitate supply chain…
Abstract
Purpose
This paper aims to investigate the role of organizational and technological enablers and their arrangement and alignment with the external environment to facilitate supply chain integration (SCI), which consequently improves operational performance.
Design/methodology/approach
The paper uses a structural equation modeling approach and the data from 307 manufacturing firms from the International Manufacturing Strategy Survey version VI for hypotheses testing.
Findings
The findings of the study reveal that (1) the alignment and particular arrangement of the sociotechnical organizational factors enable the SCI of a firm, (2) suitable organizational arrangements help in leveraging SCI under environmental pressures, and (3) SCI leverages the relationship between sociotechnical organizational factors and operational performance of the firm.
Practical implications
This paper informs managers that SCI leverages the operational performance of firms under heightened environmental pressures. Developing suitable manufacturing technologies infrastructure followed by organizational practices aligned with the manufacturing technologies make it easier to realize SCI.
Originality/value
This study explores the interaction of technological, organizational, and environmental factors as driving and enabling factors that help achieve SCI. Firms that develop an open and collaborative environment and use communication and integrative technologies to complement their work practices better cope with external pressures. These modern forms of working and the use of technologies facilitate SCI and leverage it effectively to positively impact firm performance.
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In this article, we consider the magnetohydrodynamic (MHD) nanofluid flow over a rotating stretchable disk through porous medium. For porous medium, Darcy’s relation is used. It…
Abstract
Purpose
In this article, we consider the magnetohydrodynamic (MHD) nanofluid flow over a rotating stretchable disk through porous medium. For porous medium, Darcy’s relation is used. It also encompassed the impact of nanoparticles shape on MHD nanofluid flow and heat transfer. The effect of thermal radiation and Joule heating is also being considered.
Design/methodology/approach
Three categories of nanoparticles are taken into deliberation, i.e. copper, silver and titanium oxide. The nanofluid is made of pure water and various types of sphere- and lamina-shaped nanoparticles. By using appropriate similarity transformation, the governing partial differential equations are transformed to ordinary one. The coupled ordinary differential equations system is tackled numerically by bvp4c method.
Findings
The impact of various pertinent parameters, i.e. solid volume fraction, Hartman number, thermal radiations parameter, Reynolds number, Eckert number, porosity parameter and ratio parameter, on flow and Nusselt number with a fixed value of Prandtl number at 6.2 is discussed in details. The obtained results are presented in the concluding section. The lamina shape of nanoparticles in silver-water performed an excellent role on temperature distribution. The heat transfer rate of lamina shape in copper-water was found to be greater in the system of flow regime.
Originality/value
The authors have discussed the shape effect of nanoparticles on MHD nanofluid flow over a rotating stretchable disk through porous medium using three categories of nanoparticles, such as copper, silver and titanium oxide. To the best of the authors’ knowledge, this is the first study on mass and heat transfer nanofluid flow and no such study is yet published in literature. A detailed mathematical analysis has also to be carried out to prove the regularity of model. The authors believe that the numerical results are original and have not been copied from any other sources.
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Jamshaid Iqbal and Fahad Munir Abbasi
The primary purpose of this research is to investigate the flow and heat transfer characteristics of non-Newtonian nanofluids, specifically Reiner–Philippoff (R-Ph) fluids, across…
Abstract
Purpose
The primary purpose of this research is to investigate the flow and heat transfer characteristics of non-Newtonian nanofluids, specifically Reiner–Philippoff (R-Ph) fluids, across a radially magnetized, curved, stretched surface. By considering factors such as Brownian motion, thermophoresis and viscous dissipation, the study aims to enhance the understanding of heat transfer mechanisms in various engineering and industrial applications, thereby contributing to improved thermal management strategies.
Design/methodology/approach
This study employs the local non-similarity method to analyze the flow and thermal behavior of R-Ph nanofluids over a radially magnetized, curved, stretched surface. The governing system is simplified using suitable transformations, and a local non-similarity approach is applied to treat non-dimensional partial differential equations as ordinary differential equations. The resulting system is numerically solved by employing the Bvp4c algorithm via MATLAB. Various dimensionless parameters, such as thermophoresis and magnetic numbers, are systematically varied to evaluate their impact on the velocity, concentration and temperature profiles of the nanofluid.
Findings
The results indicate that the concentration profile of the nanofluid improves with increasing thermophoresis and magnetic numbers, while it decreases with higher Schmidt and Bingham numbers. The velocity of the nanofluid decreases with larger magnetic numbers and curvature parameters but increases with the R-Ph fluid and Bingham numbers. Additionally, the temperature profile shows a decreasing trend for higher curvature and Bingham numbers while rising with higher Brinkman and magnetic numbers. The Sherwood number increases with Schmidt number, thermophoresis and Brownian motion parameters.
Originality/value
This study provides a novel analysis of R-Ph nanofluids in the context of curved stretching surfaces under magnetic fields, contributing to the understanding of non-Newtonian fluid dynamics. The use of the local non-similarity method to transform and solve the governing equations offers a fresh perspective on heat transfer phenomena. The findings have significant implications for various fields, including engineering, electronics and biomedical applications, by enhancing thermal efficiency and performance in systems utilizing nanofluids.