bluuebunny/crossref_metadata_2025_split huggingface dataset:
MHD hybrid nanofluid flow with convective heat transfer over a permeable stretching/shrinking surface with radiation
Authors: Wahid Nur Syahirah , Arifin Norihan Md , Khashi'ie Najiyah Safwa , Pop Ioan , Bachok Norfifah , Hafidzuddin Ezad Hafidz 
Published: August 2021

Purpose
The purpose of this paper is to numerically investigate the hybrid nanofluid flow with the imposition of magnetohydrodynamic (MHD) and radiation effects alongside the convective boundary conditions over a permeable stretching/shrinking surface.

Design/methodology/approach
The mathematical model is formulated in the form of partial differential equations (PDEs) and are then transformed into the form of ordinary differential equations (ODEs) by using the similarity variables. The deriving ODEs are solved numerically by using the bvp4c solver in MATLAB software. Stability analysis also has been performed to determine the stable solution among the dual solutions obtain. For method validation purposes, a comparison of numerical results has been made with the previous studies.

Findings
The flow and the heat transfer of the fluid at the boundary layer are described through the plot of the velocity profile, temperature profile, skin friction coefficient and local Nusselt number that are presented graphically. Dual solutions are obtained, but only the first solution is stable. For the realizable solution at the shrinking surface, the proliferation of nanoparticle volume fraction (copper) and magnetic (magnetohydrodynamics) parameters can impede the boundary layer separation. Also, Biot number could enhance the temperature profile and the heat transfer rate at the shrinking surface region. The incrementation of 0.1% of Biot number has enhanced the heat transfer rate by approximately 0.1% and the incrementation of 0.5% volume fraction for copper has reduced the heat transfer rate by approximately 0.17%.

Originality/value
The presented model and numerical results are original and new. It can be used as a future reference for further investigation and related practical application. The main contribution of this investigation includes giving the initial prediction and providing the numerical data for the other researchers for their future reference regarding the impacts of nanoparticles volumetric concentration towards the main physical quantities of interest in the presence of magnetic and radiation parameters with the convective boundary conditions.
Predicting information security culture among employees of telecommunication companies in an emerging market
Authors: Md Azmi Nurul Asmui Azmi , Teoh Ai Ping , Vafaei-Zadeh Ali , Hanifah Haniruzila 
Published: August 2021

Purpose
The purpose of this study is to examine factors, which influence information security culture among employees of telecommunications companies. The motivation for this study was the rise in the number of data breach incidents caused by the organizations’ own employees.

Design/methodology/approach
A total of 139 usable responses were collected via a Web-based questionnaire survey from employees of Malaysian telecommunications companies. Data were analysed by using SmartPLS 3.

Findings
Security education, training and awareness (SETA) programmes and information security awareness were found to have a positive and significant impact on Information Security Culture. Additionally, self-reported employees’ security behaviour was found to act as a partial mediator on the relationship between information security awareness and information security culture.

Research limitations/implications
The study was cross-sectional in nature. Therefore, it could not measure changes in population over time.

Practical implications
The empirical data provides a new perspective on significant elements that influence information security culture in an emerging market. Organizations in the telecommunications industry can now recognize that SETA programmes and information security awareness have a significant impact on information security culture. Employees’ security behaviour also mediates the relationship between information security awareness and information security culture.

Originality/value
This is the first study to analyse the mediating effect of employees’ security behaviour on the relationship between information security awareness and information security culture in the Malaysian telecommunications context.
Does any nexus between electricity consumption and economic growth exist? Evidence from Haryana using VAR model
Authors: Singh Kamaljit 
Published: August 2021

PurposeIn the fast-changing technological environment, electricity is the essence of the world economy and a significant means for all the modern world’s possessions. The ongoing economic downturn focuses on energy’s role in the economy. This study aims to explore the nexuses between per capita electricity usage and per capita state gross domestic product (SGDP) in Haryana, India.Design/methodology/approachThe statistics from 1989 to 2015 have been analyzed using Johansen cointegration, vector autoregression and paired Granger-causality test.FindingsThe Granger causality test results show that a long-run association is absent. A short-run unidirectional relationship runs from per capita SGDP to per capita electricity usage.Practical implicationsAs a policy suggestion, the policymakers may encourage energy conservation measures and renewable energy sources to lead the country’s sustainable energy supply. Moreover, Haryana can increase its influence in this sector and enter rapidly in the growing markets worldwide by stimulating the production and adoption of digital solutions for energy efficiency.Originality/valueTo the best of the author’s awareness, this research is one of its nature regarding systematically analyzing electricity usage and economic growth relationship in Haryana.
Digital disruption: the hyperlocal delivery and cloud kitchen driven future of food services in post-COVID India
Authors: John Kishore Thomas 
Published: August 2021

PurposeThe pervasive impact of the COVID-19 virus on the food services sector in India has created conditions for fundamentally altering the structure of the industry. This paper offers a nuanced evaluation of the transfiguration of the market, explaining descriptive views supported by numerous secondary data sources.Design/methodology/approachThis is a self-driven study grounded in secondary data. Qualitative and quantitative assessments are assimilated from credible market research reports of multiple agencies in the Indian context, as well as news developments during the pandemic period.FindingsDigitally pivoted platforms such as cloud kitchens and delivery aggregators will eclipse all other formats due to the potential long-term prevalence of the COVID-19 virus. These formats would rise to a dominant position in the Indian food services sector in the coming decade.Research limitations/implicationsThis study is entirely driven by secondary data due to the inherent difficulties of collecting sizeable and good quality primary data as a result of the lengthy and stringent lockdowns imposed across India. Future studies should consider collecting consumer responses to get a better picture of changing dining habits in the post-pandemic scenario.Practical implicationsThe dynamic and evolving food services in India, catalyzed by the Internet and digital technologies will help academicians study the long-term implications of this change, and how it would impact society at large. The paper provides a rich body of contemporary data and analysis in the food services sphere.Social implicationsThe COVID-19 pandemic and its long-term persistence would dramatically alter food service consumption across India. This will not only change how the industry is structured, but will reshape how food is consumed into the future.Originality/valueThe study is a holistic examination of the relationship between the coronavirus pandemic and the food services industry in India. The macro perspectives aided by news coverage and industry research would help generate potential research questions on its own merits.
Contribution of renewable energy consumption to CO2 emissions mitigation: a comparative analysis from the income levels’ perspective in the belt and road initiative (BRI) region
Authors: Jia Junsong , Rong Yueyue , Chen Chundi , Xie Dongming , Yang Yong 
Published: August 2021

Purpose
This paper aims to retrospectively quantify the contribution of renewable energy consumption (REC) to mitigate the carbon dioxide (CO2) emissions for the belt and road initiative (BRI) region. The reason is that, so far, still few scientists have deeply analyzed this underlying impact, especially from the income levels’ perspective.

Design/methodology/approach
The study divides the BRI region into four groups by the income levels (high, HI; upper middle, UM; lower middle, LM; lower, LO) during 1992–2014 and uses the logarithmic mean Divisia index.

Findings
The results show the REC of the BRI has an overall decreasing trend but the driving contribution to the CO2 growth except that the HI group’s REC has an obviously mitigating contribution of −2.09%. The number indicates that it is necessary and urgent to exploit and use renewable energy, especially in mid- and low-income countries due to the large potential of carbon mitigation. Besides, during 2010–2014, the energy intensity effects of different groups were negative except for the low income group (positive, 5.47 million tonnes), which showed that some poor countries recently reduced CO2 emissions only by extensively using renewable energy but not enhancing the corresponding efficiency. Conversely, in other rich countries, people paid more attention to improve the energy-use efficiency to lower energy intensity.

Originality/value
This study creatively analyzes this underlying impact of the REC to mitigate the CO2 emissions from the income levels’ perspective and proposes some reasonable countermeasures of reducing CO2 for the BRI region.
Supply chain resilience for managing the ripple effect in Industry 4.0 for green product diffusion
Authors: Dev Navin K. , Shankar Ravi , Zacharia Zach G. , Swami Sanjeev 
Published: August 2021

PurposeThe purpose of this paper is to examine (1) how the recovery speed using promotional investment and (2) distributed production using additive manufacturing (AM) improve the resilience of the supply chain to manage any disruptions in the diffusion of green products.Design/methodology/approachThe environmental performance, service level performance and economic performance are the measures of interest. These measures are studied through the integration of inventory and production planning (I&PP) of the reverse logistics system and consumer behavior using Bass (1969) model of diffusion of innovation under the paradigm of Industry 4.0 architecture. The Taguchi experimental design framework was used for the simulation analysis.FindingsThe adoption patterns based on the Bass model in conjunction with recovery speed and production on AM during the disruption period suggest that there exist tradeoff decisions between various combinations of information-sharing and I&PP policies.Practical implicationsThe extensive sensitivity analyses provide real-time support for managerial decisions. Besides the potentials of Industry 4.0 capabilities, the present research suggests paying close attention to the recovery speed in conjunction with the inventory management system.Social implicationsThe integration of consumers' behavior (Bass model) to digital technologies is an additional contribution of the present research toward sustainability issues from the social perspective.Originality/valuePrevious research studies have discussed resilience to manage the ripple effect. However, none of them have addressed the changing scope of resilience to manage the ripple effect caused by the disruption in the diffusion of green products in a reverse logistics setup.
Effects of statewide stay-at-home orders on COVID-19 cases and deaths in the central USA
Authors: Reinbold Gary W. 
Published: August 2021

PurposeThis study seeks to determine the effects of stay-at-home orders in Spring 2020 on COVID-19 cases and deaths in the Central USA by comparing counties and health service areas that were and that were not subject to statewide orders.Design/methodology/approachThis study estimates the effects of statewide stay-at-home orders on new COVID-19 cases and deaths within 19 central states, of which 14 had stay-at-home orders. It uses synthetic control analysis and nearest neighbor matching to estimate the effects at two geographic levels: counties and health service areas.FindingsStatewide stay-at-home orders significantly reduced the number of new COVID-19 cases in the Central USA starting about three weeks after their effective dates; during the fourth week after their effective dates, the orders reduced the number of new cases per capita by 31%–57%. Statewide stay-at-home orders did not reduce the number of new COVID-19 deaths in the Central USA.Social implicationsThe main purpose of stay-at-home orders in Spring 2020 was to “flatten the curve” so that hospitalizations would not exceed capacity. It is likely that stay-at-home orders in the Central USA reduced hospitalizations to some extent, although the effect on hospitalizations was likely smaller than the effect on cases.Originality/valueThis is the first study of stay-at-home orders in the USA to limit the population to a group of interior states. All coastal states had statewide stay-at-home orders and comparing coastal states with orders to interior states without them may be problematic.
A bibliometric approach to quantitatively assess current research trends in 5G security
Authors: Farooqui M. Najmul Islam , Arshad Junaid , Khan Muhammad Mubashir 
Published: August 2021

PurposeAlongside the remarkable evolution of cellular communication to 5G networks, significant security and privacy challenges have risen which can affect the widespread adoption of advanced communication technologies. In this context, the purpose of this paper is to examine research within security and privacy for 5G-based systems highlighting contributions made by the research community and identify research trends within different subdomains of 5G security where open issues still exist.Design/methodology/approachThis paper uses a bibliographic approach to review the state-of-the-art in the field of 5G security and is the pioneering effort to investigate 5G security research using this methodology. Specifically, the paper presents a quantitative description of the existing contributions in terms of authors, organizations, and countries. It then presents detailed keyword and co-citation analysis that shows the quantity and pattern of research work in different subfields. Finally, 5G security areas are identified having open challenges for future research work.FindingsThe study shows that China leads the world in terms of published research in the field of 5G security with USA and India ranked second and third respectively. Xidian University, China is ranked highest for number of publications and h-index followed by University Oulu and AALTO University Finland. IEEE Access, Sensors and IEEE Internet of Things Journal are the top publication venues in the field of 5G security. Using VOSViewer aided analysis with respect to productivity, research areas and keywords, the authors have identified research trends in 5G security among scientific community whilst highlighting specific challenges which require further efforts.Originality/valueExisting studies have focused on surveys covering state-of-the art research in secure 5G network (Zhang et al. 2019), physical layer security (Wu et al., 2018), security and privacy of 5G technologies (Khan et al., 2020) and security and privacy challenges when 5G is used in IoT (Sicari et al. 2020). However, our research has revealed no existing bibliometric studies in this area and therefore, to our best knowledge, this paper represents pioneering such effort for security within 5G.
Energy strategies of China and their impacts on energy shipping import through the Straits of Malacca and Singapore
Authors: Yin Yuwei , Lam Jasmine Siu Lee 
Published: August 2021

PurposeThis study aims at investigating how energy strategies of China impact its energy shipping import through a strategic maritime link, the Straits of Malacca and Singapore (SOMS).Design/methodology/approachVector error-correction modelling (VECM) is applied to examine the key energy strategies of China influencing crude oil and liquefied natural gas (LNG) shipping import via the SOMS. Strategies investigated include oil storage expansions, government-setting targets to motivate domestic gas production, pipeline projects to diversify natural gas import routes and commercial strategies to ensure oil and gas accessibility and cost-effectiveness.FindingsFor the crude oil sector, building up oil storage and diversifying oil import means, routes and sources were found effective to mitigate impacts of consumption surges and price shocks. For the LNG sector, domestic production expansion effectively reduces LNG import. However, pipeline gas import growth is inefficient to relieve LNG shipping import dependency. Furthermore, energy companies have limited flexibility to adjust LNG shipping import volumes via the SOMS even under increased import prices and transport costs.Practical implicationsAs the natural gas demand of China continues expanding, utilisation rates of existing pipeline networks need to be enhanced. Besides, domestic production expansion and diversification of LNG import sources and means are crucial.Originality/valueThis study is among the first in the literature using a quantitative approach to investigate how energy strategies implemented in a nation impact its energy shipping volumes via the SOMS, which is one of the most important maritime links that support 40% of the global trades.
High-transconductance silicon carbide nanowire-based field-effect transistor (SiC-NWFET) for high-temperature applications
Authors: Mousa Habeeb , Teker Kasif 
Published: August 2021

Purpose
The purpose of this study is to present a systematic investigation of the effect of high temperatures on transport characteristics of nitrogen-doped silicon carbide nanowire-based field-effect transistor (SiC-NWFET). The 3C-SiC nanowires can endure high-temperature environments due to their wide bandgap, high thermal conductivity and outstanding physical and chemical properties.

Design/methodology/approach
The metal-organic chemical vapor deposition process was used to synthesize in-situ nitrogen-doped SiC nanowires on SiO2/Si substrate. To fabricate the proposed SiC-NWFET device, the dielectrophoresis method was used to integrate the grown nanowires on the surface of pre-patterned electrodes onto the SiO2 layer on a highly doped Si substrate. The transport properties of the fabricated device were evaluated at various temperatures ranging from 25°C to 350°C.

Findings
The SiC-NWFET device demonstrated an increase in conductance (from 0.43 mS to 1.2 mS) after applying a temperature of 150°C, and then a decrease in conductance (from 1.2 mS to 0.3 mS) with increasing the temperature to 350°C. The increase in conductance can be attributed to the thermionic emission and tunneling mechanisms, while the decrease can be attributed to the phonon scattering. Additionally, the device revealed high electron and hole mobilities, as well as very low resistivity values at both room temperature and high temperatures.

Originality/value
High-temperature transport properties (above 300°C) of 3C-SiC nanowires have not been reported yet. The SiC-NWFET demonstrates a high transconductance, high electron and hole mobilities, very low resistivity, as well as good stability at high temperatures. Therefore, this study could offer solutions not only for high-power but also for low-power circuit and sensing applications in high-temperature environments (∼350°C).
Engaging complexity theory to explore partnership structures: Te Tiriti o Waitangi/The Treaty of Waitangi as a structural attractor for social innovation in Aotearoa-New Zealand
Authors: Lythberg Billie , Newth Jamie , Woods Christine 
Published: August 2021

Purpose
The purpose of this paper is to explore how a complexity informed understanding of Indigenous–settler relationships helps people to better understand Indigenous social innovation. To do this, this paper uses the attractor concept from complexity thinking to explore both the history and possible futures of Indigenous Maori social innovation as shaped by Te Tiriti o Waitangi/Treaty of Waitangi.

Design/methodology/approach
This paper frames Te Tiriti as a structural attractor for social innovation in Aotearoa-New Zealand and explores the dynamics at play in the social and economic activities related to Te Tiriti and the ongoing settlement process in Aotearoa-New Zealand. This paper outlines this as an illustrative case study detailing the relevant contextual spaces and dynamics that interact and the emergence of social innovation.

Findings
This paper suggests that the convergent, divergent and unifying dynamics present in a structural attractor provide a useful framework for building ongoing engagement between Indigenous and non-Indigenous people whereby Indigenous worldviews are given space to be articulated and valued.

Originality/value
In spite of the increase in research into social innovation, including in Indigenous contexts, the “context” of “postcolonial” context remains under-theorised and people’s understanding of the power dynamics at play here limits the understanding of how the mechanisms of Indigenous–settler partnerships structure social innovation and its impact.
Passenger rail station safety improvement and analysis of end-of-track collisions based on systems-theoretic accident modeling and processes (STAMP)
Authors: Zhang Zhipeng , Liu Xiang , Hu Hao 
Published: August 2021

Purpose
At the US passenger stations, train operations approaching terminating tracks rely on the engineer’s compliant behavior to safely stop before the end of the tracks. Noncompliance actions from the disengaged or inattentive engineers would result in hazards to train passengers, train crewmembers and bystanders at passenger stations. Over the past decade, a series of end-of-track collisions occurred at passenger stations with substantial property damage and casualties. This study’s developed systemic model and discussions present policymakers, railway practitioners and academic researchers with a flexible approach for qualitatively assessing railroad safety.

Design/methodology/approach
To achieve a system-based, micro-level analysis of end-of-track accidents and eventually promote the safety level of passenger stations, the systems-theoretic accident modeling and processes (STAMP), as a practical systematic accident model widely used in the complex systems, is developed in view of environmental factors, human errors, organizational factors and mechanical failures in this complex socio-technical system.

Findings
The developed STAMP accident model and analytical results qualitatively provide an explicit understanding of the system hazards, constraints and hierarchical control structure of train operations on terminating tracks in the US passenger stations. Furthermore, the safety recommendations and practical options related to obstructive sleep apnea screening, positive train control-based collision avoidance mechanisms, robust system safety program plans and bumping posts are proposed and evaluated using the STAMP approach.

Originality/value
The findings from STAMP-based analysis can serve as valid references for policymakers, government accident investigators, railway practitioners and academic researchers. Ultimately, they can contribute to establishing effective emergent measures for train operations at passenger stations and promote the level of safety necessary to protect the public. The STAMP approach could be adapted to analyze various other rail safety systems that aim to ultimately improve the safety level of railroad systems.