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Ambitious and driven to scale the barriers to top management: experiences of women leaders in the Nigerian technology sector
Get PDFYesThe four theories—gendering of careers, glass ceiling, gender stereotypes and work-life balance—of the lack of inclusion of women in the technology sector have a certain face validity when looking at Nigeria, a historically patriarchal nation undergoing significant growth in penetration and diffusion in the technology sector. Consequently, this article is the first to further develop these theories through a critical realist exploration of the experiences of female senior managers in the Nigerian technology sector. The findings show that women technology leaders are ambitious and driven to scale the barriers to senior management roles. These four theories are extended by providing empirical data and insights into how this phenomenon is experienced differently in the Global South. The article recommends that organizations implement policies that support skilled and high-potential women employees to fulfill their career aspirations, thereby disrupting stereotypes and changing the dominant, masculine narrative of the technology industry.Research Development Fund Publication Prize Award winner, June 2022
Artificial intelligence and cloud-based collaborative platforms for managing disaster, extreme weather and emergency operations
Get PDFYesNatural disasters are often unpredictable and therefore there is a need for quick and effective response to save lives and infrastructure. Hence, this study is aimed at achieving timely, anticipated and effective response throughout the cycle of a disaster, extreme weather and emergency operations management with the help of advanced technologies. This study proposes a novel, evidence-based framework (4-AIDE) that highlights the role of artificial intelligence (AI) and cloud-based collaborative platforms in disaster, extreme weather and emergency situations. A qualitative approach underpinned by organizational information processing theory (OIPT) is employed to design, develop and conduct semi-structured interviews with 33 respondents having experience in AI and cloud computing industries during emergency and extreme weather situations. For analysing the collected data, axial, open and selective coding is used that further develop themes, propositions and an evidence-based framework. The study findings indicate that AI and cloud-based collaborative platforms offer a structured and logical approach to enable two-way, algorithm-based communication to collect, analyse and design effective management strategies for disaster and extreme weather situations. Managers of public systems or businesses can collect and analyse data to predict possible outcomes and take necessary actions in an extreme weather situation. Communities and societies can be more resilient by transmitting and receiving data to AI and cloud-based collaborative platforms. These actions can also help policymakers identify critical pockets and guide administration for their necessary preparation for unexpected, extreme weather, and emergency events.This study has been supported by the Area of Excellence AI, Data Science & Business at NEOMA Business School, France under the fund number 416005
Visualising animal hard tissues
No full textNoThis chapter summarises AHRC/EPSRC Science and Heritage Programme-funded research to develop a digital resource to disseminate knowledge of the identification of osseous and keratinous animal hard tissues. The choice of materials in the manufacture of individual artefacts or classes of objects can make a major contribution to understanding their cultural significance and questions of provenance or authenticity. This resource builds on understanding gained through a Fellowship to O’Connor in developing, evaluating and validating identification criteria for these materials in raw, worked and decayed states. The resource concentrates on the non-destructive visual methods of particular relevance to the examination of artworks, historic and archaeological artefacts. The chapter highlights the potential of various visualisation methods and digital technologies to capture and combine 2D images and 3D models and guide the viewer through the multi-scalar visual cues of each material to a reliable identification. By accessing a range of collections, the project has produced a comprehensive and accessible resource, disseminating these findings more widely than could be achieved by a physical reference collection. This resource supports the identification of cultural heritage objects for conservation scientists and heritage professionals and informs the fight against the illegal hunting and trafficking of rare and endangered species.VAHT was funded through an AHRC-EPSRC Science and Heritage Programme Research Development Award (AH/K006169/1) that developed directly from Sonia O'Connor's AHRC/EPSRC Science & Heritage Programme Fellowship (AH/H032150/1)—Cultural Materials Worked in Skeletal Hard Tissues (COWISHT)
Evaluation the performance of the tin (IV) oxide (SnO2) in the removal of sulfur compounds via oxidative-extractive desulfurization process for production an eco-friendly fuel
Get PDFYesCatalysts play a vital role in petroleum and chemical reactions. Intensified concerns for cleaner air with strict environmental regulations on sulfur content in addition to meet economic requirements have generated significant interests for the development of more efficient and innovative oxidative catalysts recently. In this study, a novel homemade nano catalyst (manganese oxide (MnO2) over tin (IV) oxide (SnO2)) was used for the first time as an effective catalyst in removing dibenzothiophene (DBT) from kerosene fuel using hydrogen peroxide (H2O2) as oxidant in catalytic oxidative-extractive desulfurization process (OEDS). The catalyst was prepared by impregnation method with various amount of MnO2 loaded on SnO2. The oxidation step was carried out at different operating parameters such as reaction temperature and reaction time in batch reactor. The extractive desulfurization step was performed by using acetonitrile as solvent under several operating conditions (agitation speed and mixing time). The activity of MnO2/SnO2 catalyst in removing various sulfur compounds from kerosene fuel at the best operating conditions was investigated in this work. The results of the catalyst characterization proved that a high dispersion of MnO2 over the SnO2 was obtained. The experiments showed that the highest DBT and various sulfur compounds removal efficiency from kerosene fuel under the best operating conditions (oxidation: 5% MnO2/SnO2, reaction temperature of 75 0C, and reaction time of 100 min, extraction: acetonitrile, agitation speed of 900 rpm, and mixing time of 30 min) via the catalytic oxidative-extractive desulfurization process was 92.4% and 91.2%, respectively. Also, the MnO2/SnO2 catalyst activity was studied after six consecutive oxidation cycles at the best operating conditions, and the catalyst prove satisfactory stability in terms of sulfur compounds removal. After that, the spent catalyst were regenerated by utilizing different solvents (methanol, ethanol and iso-octane), and the experimental data explained that iso-octane achieved highest regeneration efficiency.Catalysts play a vital role in petroleum and chemical reactions. Intensified concerns for cleaner air with strict environmental regulations on sulfur content in addition to meet economic requirements have generated significant interests for the development of more efficient and innovative oxidative catalysts recently. In this study, a novel homemade nano catalyst (manganese oxide (MnO2) over tin (IV) oxide (SnO2)) was used for the first time as an effective catalyst in removing dibenzothiophene (DBT) from kerosene fuel using hydrogen peroxide (H2O2) as oxidant in catalytic oxidative-extractive desulfurization process (OEDS). The catalyst was prepared by impregnation method with various amount of MnO2 loaded on SnO2. The oxidation step was carried out at different operating parameters such as reaction temperature and reaction time in batch reactor. The extractive desulfurization step was performed by using acetonitrile as solvent under several operating conditions (agitation speed and mixing time). The activity of MnO2/SnO2 catalyst in removing various sulfur compounds from kerosene fuel at the best operating conditions was investigated in this work. The results of the catalyst characterization proved that a high dispersion of MnO2 over the SnO2 was obtained. The experiments showed that the highest DBT and various sulfur compounds removal efficiency from kerosene fuel under the best operating conditions (oxidation: 5% MnO2/SnO2, reaction temperature of 75 0C, and reaction time of 100 min, extraction: acetonitrile, agitation speed of 900 rpm, and mixing time of 30 min) via the catalytic oxidative-extractive desulfurization process was 92.4% and 91.2%, respectively. Also, the MnO2/SnO2 catalyst activity was studied after six consecutive oxidation cycles at the best operating conditions, and the catalyst prove satisfactory stability in terms of sulfur compounds removal. After that, the spent catalyst were regenerated by utilizing different solvents (methanol, ethanol and iso-octane), and the experimental data explained that iso-octane achieved highest regeneration efficiency.This study was supported by College of Petroleum Processes Engineering, Tikrit University, Iraq and Ministry of Oil, Iraq
Go beyond your own comfort zone and challenge yourself': A comparison on the use of physically active learning in Norway, the Netherlands and the UK
Get PDFYesThe adoption of physically active learning (PAL) in schools is becoming more widespread. To understand how PAL is being used in different countries and explore if and how methods and strategies differ, this paper draws cross-national comparisons in primary school teachers' use of PAL. Thirteen focus groups were conducted with 54 teachers from Norway, the Netherlands and the UK. Four themes were identified using thematic analysis: 1) teachers' values and beliefs about PAL; 2) influence of school context; 3) influence of the national policy context and; 4) managing teacher dissonance when using PAL. Use of PAL was related to teachers' values and beliefs and the degree to which these aligned with the context of the school and the wider educational system. The findings underline the importance of addressing teachers’ competence, opportunity and agency to use PAL in different contexts.The authors of this manuscript were supported and funded by the European Union ERASMUS + Strategic Partnership Fund as part of the Activating Classroom Teachers project, ACTivate (Grant no 2019-1-N001-KA203-063024)
Can star analysts make superior coverage decisions in poor information environment?
Get PDFYesThis study uses the quality of coverage decisions as a new metric to evaluate the performance of star and non-star analysts. We find that the coverage decisions of star analysts are better predictors of returns than those of non-star analysts. The return predictability of star analysts’ coverage decisions is stronger for informationally opaque stocks. We further exploit the staggered short selling deregulations, Google’s withdrawal, and the anti-corruption campaign as three quasi-natural experiments that create plausibly exogenous variations in the quality of information environment. These experiments show that the predictive power of star analysts’ coverage decisions strengthens (weakens) following a sharp deterioration (improvement) in firms’ information environment, consistent with the notion that star analysts possess superior ability to identify mispriced stocks. Overall, star analysts make better coverage decisions and play a superior role as information intermediaries, especially in poor information environment
Organisational resilience to supply chain risks during the COVID-19 Pandemic
Get PDFYesThis paper aims to establish a link between aggregate organizational resilience capabilities and managerial risk perception aspects during a major global crisis. We argue that a multi-theory perspective, dynamic capability at an organizational level and enactment
theory at a managerial level allow us to better understand how the sensemaking process within managerial risk perception assists organizational resilience. We draw from in-depth interviews with 40 managers across the UK’s food industry, which has been able
to display resilience during the pandemic. In sensing supply chain risks (SCRs), managers within both authority-based and consensus-based organizational structures utilize
risk-capture heuristics and enact actions related to effective communications, albeit at different information costs. In seizing, we found that managers adhere to distinct heuristics that are idiosyncratic to their organizational structures. Through limited horizontal communication channels, authority-based structures adhere to rudimentary how-to heuristics, whereas consensus-based structures use obtainable how-to heuristics. We contribute to the organizational resilience and dynamic capabilities literature by identifying
assessment as an additional step prior to transforming, which depicts a retention process to inform future judgements. Our study presents a novel framework of organizational resilience to SCRs during equivocal environments, by providing a nuanced understanding of the construction of dynamic capabilities through sensemaking
Use of ‘wearables' to assess the Up-on-the-toes test
Get PDFYesThe mechanical output at the ankle provides key contribution to everyday activities, particularly step/stair ascent and descent. Age-related decline in ankle functioning can lead to an increased risk of falls on steps and stairs. The rising up-on-the-toes (UTT) 30-second test (UTT-30) is used in the clinical assessment of ankle muscle strength/function and endurance; the main outcome being how many repetitive UTT movements are completed. This preliminary study describes how inertial measurement units (IMUs) can be used to assess the UTT-30. Twenty adults (26.2 ± 7.7 years) performed a UTT-30 at a comfortable speed, with IMUs attached to the dorsal aspect of each foot. Use of IMUs' angular velocity signal to detect the peak plantarflexion angular velocity (p-fAngVelpeak) associated with each repeated UTT movement indicated the number of UTT movements attempted by each participant. Any UTT movements that were performed with a p-fAngVelpeak 2SD below the mean were deemed to have not been completed over a sufficiently ‘full' range. Findings highlight that use of IMUs can provide valid assessment of the UTT 30-second test. Their use detected the same number of attempted UTT movements as that observed by a researcher (average difference, -0.1 CI, -0.2 - 0.1), and on average 97.6 ± 3.1% of these movements were deemed to have been completed ‘fully'. We discuss the limitations of our approach for identifying the movements not completed fully, and how assessing the consistency in the magnitude of the repeated p-fAngVelpeak could be undertaken and what this would indicate about UTT-30 performance
Transient liquid phase (TLP) bonding as reaction–controlled diffusion
No full textNoThe transient liquid phase bonding process has long been dealt with as a pure diffusion process at the joint
interface, that is, as a mass phenomenon. In spite of the advances in the application of this technique to bond
complex engineering alloys, the available models have failed to incorporate the effect of surface phenomena
on the joining process. In this work, a new reaction–controlled diffusion formulation model is proposed, and
the observation of experimental results of joining Al6061 alloy using thin single (50, 100 micron) and double
Cu foils is recorded. This work directly unveils the unique role played by surface reaction–controlled diffusion
rather than purely mass diffusion bonding process. Our experimental and modeling results reveal a conceptually
new understanding that may well explain the joint formation in TLP bonding process
Social and environmental practices and corporate financial performance of multinational corporations in emerging markets: Evidence from 20 oil-rich African countries
Get PDFYesStudies find that oil-rich African countries (OACs) suffer slow socio-economic growth and development. The petroleum operations in these countries are also primarily in the hands of multinational corporations (MNCs). Motivated by their profit maximisation prospects (PMPs), the MNCs face significant corporate social responsibility (CSR) dilemmas with reference to their contribution to the socio-economic growth of these African economies. Even though there are few studies on CSR and corporate financial performance (CFP) within the African context, little or no attention has been paid to how and the extent to which MNCs' PMPs, CSR and CFP interact to affect the socio-economic growth of OACs. Drawing from legitimacy, institutional, and agency theories we employ a panel data approach covering 14 years (2003–2017) to understand the drivers of these PMPs, how PMPs affect corporate ethical considerations, and CFP and their implications on OACs' socio-economic growth. We find that PMPs of MNCs within OACs impede their CSR commitment. There is a significant positive relationship between CSR and CFP; efficient CSR practices impact CFP positively, and MNCs' contribution to OACs' socio-economic growth is significantly constrained by weak institutional environments. We conclude that institutional reforms and strategic investment in CSR could foster rapid socio-economic growth and development within OACs. Our study contributes to policy and knowledge on MNC's PMPs, CSR practices, CFP and literature on business ethics and the natural resource-curse