bluuebunny/crossref_metadata_2025_split huggingface dataset:
COVID-19 and human resource management: status, trends and research directions
Authors: Sachdeva Leena , Jena Lalatendu Kesari , Badhotiya Gaurav Kumar , Baharul Islam K.M. , Mujtaba Bahaudin Ghulam , Pal Suchitra 
Published: June 2024

PurposeThis study aims to conduct an extensive bibliometric analysis of research across COVID-19 and human resource management (HRM). It captures an exhaustive conceptual understanding of theoretical foundations, research trends, developments and research directions in the HRM domain.Design/methodology/approachA set of 505 HRM and COVID-19-specific articles collected from the Scopus database were systematically analyzed using a two-tier method. In the first tier of analysis, the evolution and current state of research are identified using citation analysis. In the second tier, network analysis and content analysis of research clusters and thematic mapping are done to identify the prominent research themes and research gaps and suggest future research directions.FindingsThe study highlights the emergence of six research clusters: SHRM and competitive advantage, employer branding and employee engagement, crisis management and resilience, challenges, career shock and job demand resources and burnout. The thematic mapping categorizes the themes into four categories: motor, basic, emerging or declining, and niche research themes published on COVID-19 and HRM. To understand the socio-cultural dynamics and cross-cultural issues during human resource management, the findings emphasized the need for the increased contribution of researchers and practitioners, especially from the developing and emerging nation’s context. Increased co-authorship among influential authors and institutions will also help formulate strategies and policies to effectively deal with similar pandemics.Originality/valueUnlike the previous literature review, the present findings provide meaningful insights for formulating people management techniques, policies, and practices in response to COVID-19 or similar pandemics.
Honeycomb-configured dissipative nanofluid flow within a squeezed channel with entropy generation: regression and numerical evaluations
Authors: Hussain Syed Modassir , Sharma Rohit , Mishra Manoj Kumar , Singh Jitendra Kumar 
Published: June 2024

Purpose
Nanosized honeycomb-configured materials are used in modern technology, thermal science and chemical engineering due to their high ultra thermic relevance. This study aims to scrutinize the heat transmission features of magnetohydrodynamic (MHD) honeycomb-structured graphene nanofluid flow within two squeezed parallel plates under Joule dissipation and solar thermal radiation impacts.

Design/methodology/approach
Mass, energy and momentum preservation laws are assumed to find the mathematical model. A set of unified ordinary differential equations with nonlinear behavior is used to express the correlated partial differential equations of the established models, adopting a reasonable similarity adjustment. An approximate convergent numerical solution to these equations is evaluated by the shooting scheme with the Runge–Kutta–Fehlberg (RKF45) technique.

Findings
The impression of pertinent evolving parameters on the temperature, fluid velocity, entropy generation, skin friction coefficients and the heat transference rate is explored. Further, the significance of the irreversibility nature of heat transfer due to evolving flow parameters are evaluated. It is noted that the heat transference rate performance is improved due to the imposition of the allied magnetic field, Joule dissipation, heat absorption, squeezing and thermal buoyancy parameters. The entropy generation upsurges due to rising magnetic field strength while its intensification is declined by enhancing the porosity parameter.

Originality/value
The uniqueness of this research work is the numerical evaluation of MHD honeycomb-structured graphene nanofluid flow within two squeezed parallel plates under Joule dissipation and solar thermal radiation impacts. Furthermore, regression models are devised to forecast the correlation between the rate of thermal heat transmission and persistent flow parameters.
Income mobility and crime: a hierarchical cluster analysis on principal components for 27 OECD countries
Authors: Berrittella Maria 
Published: June 2024

PurposeThe aim of this paper is to investigate the linkages between intergenerational income mobility and crime for 27 OECD countries, considering different types of crime, family ties, enforcement, in terms of punishment rate and perceived quality of the legal system, redistributive outcomes and government expenditure.Design/methodology/approachUsing the Global Database of Intergenerational Mobility (GDIM), the empirical analysis is conducted by coupling the principal components analysis with the hierarchical clustering. The variance tests verify the robustness of the clusters.FindingsIncome mobility is higher in those countries where there is high public investment devoted to education and high perception of rule of law to buffer the adverse effects of crime on income mobility. The redistributive policies must be oriented to better the wealth distribution and not only income equality opportunity to decrease crime and to increase income mobility. A plausible existence of “hidden” income mobility emerges from the linkages between income mobility and frauds.Social implicationsMore redistributive policies for education, income and wealth equality should be applied in those countries with low income mobility and high violent crime rates; higher punishment rates should be applied to reduce the rates of thefts and frauds in high income mobility countries.Originality/valueThe main contribution is the identification of what type of crime leads to downward income mobility, as well as the role of perceived quality of the legal system, government and family ties in the association between income mobility and crime, suggesting also the potential existence of “hidden” income mobility.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2023-0520
Perception and willingness to participate in warehouse receipt system: insights from cashew farmers in the Bono region of Ghana
Authors: Asare Jeffery Kofi , Mensah Nicholas Oppong , Agyemang Priscilla , Matthew Anderson , Dhaka Surjeet Singh 
Published: June 2024

PurposeThe warehouse receipt system (WRS) is critical for farmers because it addresses agricultural market inefficiencies, provides credit access, reduces postharvest losses and increases access to profitable markets. However, its use and implementation across the commodity value chain remain relatively limited in Sub-Saharan Africa, particularly among cash crop producers. This study examines cashew farmers' perceptions of WRS implementation and determinants of farmer participation.Design/methodology/approachA total of 153 cashew farmers from the Bono region of Ghana were sampled using a multistage sampling approach. Perception index analysis and Cragg's double hurdle model were used for the analysis.FindingsThe results revealed that farmers strongly perceived that WRS augmented credit and market access. In addition, farm size, household size, annual income, perception of collateral and higher selling price determined farmers' willingness to participate in WRS.Research limitations/implicationsDespite the existence of other cashew farmers in Ghana, the study was limited to cashew farmers in Bono Region.Originality/valueDespite the plethora of benefits of WRS, it is surprising that its implementation in the cashew subsector is geographically limited to East Africa. Thus, this study is the first to provide empirical evidence on the perception of WRS implementation and further examine farmers' willingness to participate in WRS in Ghana.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2023-0946.
The geography of the craft beer scene in Budapest
Authors: Bakucs Zoltán , Fertő Imre 
Published: June 2024

Purpose
This paper aims to investigate the locational determinants of the craft beer industry in Budapest, Hungary, between 2009 and 2022.

Design/methodology/approach
The authors use various count data models to determine the relationship between the number of microbreweries and locational factors.

Findings
The authors find that demand and supply-side factors, including income, unemployment, level of education, population density and the number of local businesses, affect the number of craft breweries. Whilst agglomeration effects proxied by breweries per capita in a district have a positive coefficient, the number of breweries in neighbouring districts is not significant. In addition, the authors do not observe any negative impact of COVID-19-related restrictions. The picture of a still-evolving, resilient craft beer sector emerges from our analysis.

Originality/value
To the best of the authors’ knowledge, this is one of the first specific studies on the craft beer sector in the Central and Eastern European region and the first to evaluate the location choices of craft breweries in Hungary within a municipality using an up-to-date data set. The authors’ analysis covers 14 years, from the early stages of craft brewery proliferation in Budapest until 2022, testing several hypotheses with respect to the location choices of these businesses.
Disentangling user fatigue in WeChat use: the configurational interplay of fear of missing out and overload
Authors: Zhang Heng , Li Hongxiu , Li Chenglong , Lu Xinyuan 
Published: June 2024

PurposeThe purpose of this study is to examine how the interplay of stressor (e.g. fear of missing out, FoMO) and strains (e.g. perceived social overload, communication overload, information overload and system feature overload) in social networking sites (SNS) use can contribute to users’ SNS fatigue from a configurational view.Design/methodology/approachData were collected among 363 SNS users in China via an online survey, and fuzzy-set qualitative comparative analysis (fsQCA) was applied in this study to scrutinize the different combinations of FoMO and overload that contribute to the same outcome of SNS fatigue.FindingsSix combinations of casual conditions were identified to underlie SNS fatigue. The results showed that FoMO, perceived information overload and system feature overload are the core conditions that contribute to SNS fatigue when combined with other types of overloads.Originality/valueThe current work supplements the research findings on SNS fatigue by identifying the configurations contributing to SNS fatigue from the joint effects of stressor (FoMO) and strain (perceived social overload, communication overload, information overload and system feature overload) and by providing explanations for SNS fatigue from the configurational perspective.
Public spending efficiency in the countries of the gulf cooperation council
Authors: Asiri Nasser 
Published: June 2024

PurposeThe Gulf Cooperation Council (GCC) countries have been increasingly investing in their economic and social development in recent years, yet the effectiveness of their spending remains unknown although they have been taking reforms to advance their spending efficiency practices.Design/methodology/approachThe study applies a quantitative approach to analyze panel data using a multiple regression model based on the World Economic Forum (WEF) reports of the global competitiveness index (GCI) from 2009 until 2018.FindingsThe results show that policies' strength has a positive and significant influence, while national infrastructure and workforce empowerment have a negative and significant influence over the extent of spending efficiency implementation in the GCC countries.Research limitations/implicationsGCI disclosure assessment criteria changed in 2019 and then stopped in 2020 due to COVID-19. A different version of GCI was published in 2020, which focuses on recovering from the COVID-19 pandemic, and no other issues have been published since then. This represented a barrier to recent data collection.Practical implicationsPractical contribution is the value added by this study to a minimal literature on spending efficiency in the GCC countries. This study’s theoretical contribution to knowledge is the integration of the new institutional sociology (NIS) perspective of institutional theory and the resource slack theory to investigate a set of factors rarely explored in relation to their impact on governmental spending efficiency.Social implicationsThis study provides the following recommendations for policymakers: The GCC government should direct government training bodies and universities (in business majors) to include mandatory spending efficiency subjects to enhance current knowledge. Also, the governmental-related bodies of spending efficiency should make agreements with universities and research centers to improve the diverse R&D aspects of government spending efficiency. Another important recommendation is to enforce the adoption of the GRC concept regarding spending efficiency practices for governmental employees to guide them towards implementing spending efficiency practices.Originality/valueThis study's theoretical contribution to knowledge is the integration of the new institutional sociology (NIS) perspective of institutional theory and the resource slack theory to investigate a set of factors rarely explored in relation to their impact on governmental spending efficiency. Also, the practical contribution is the value added by this study to a minimal literature on spending efficiency in the GCC countries. The research has established empirical evidence to support the findings above.
How customer community engagement and employee dynamic learning capability impact service performance through customization? A firm–customer synergistic perspective
Authors: He Jiaxun , Hu Jingyi , Zhang Fan 
Published: June 2024

PurposeThe emergence and rapid expansion of social media platforms have transformed the dynamics of consumer–brand communication. While consumer–brand relationship is driven on marketing campaigns in regular manner, social media (e.g. WeChat groups) creates boundaryless connections between external forces (e.g. customer community engagement) and internal resources (e.g. sales force). Therefore, this paper aims to provide a firm–customer synergistic perspective to explain service performance (SP) through service customization, which is significantly contributing to the research of consumer–brand relationship field in the current era.Design/methodology/approachA survey including two sets of questionnaires are employed for data collection, with one completed by frontline salesperson of Casarte and the other by their customers. A total of 242 dyadic-level data are adopted to test the hypothesis.FindingsThe findings shed light on the mechanism that drive SP by firm–customer interactions. These insights hold distinct managerial implications for firms seeking to leverage digital tools to efficiently meet customer demands.Originality/valueThis study contributes to understanding consumer–brand relationship within social media environment. It offers a synergistic perspective combined both outside-in and inside-out thinking, and explains how consumer–brand relationship can be fostered from both customers and salespeople. It highlights the significance of customer community engagement and salespeople dynamic learning capability as crucial factors in building strong consumer–brand relationship.
Heat transfer analysis of thermal radiative over a stretching curved surface using molybdenum disulfide and silicon dioxide composite material under the influence of solar radiation
Authors: Obalalu Adebowale Martins , Darvesh Adil , Aselebe Lateefat , Salawu Sulyman Olakunle , Issa Kazeem 
Published: June 2024

PurposeThe primary focus of this study is to tackle a critical industry issue concerning energy inefficiency. This is achieved through an investigation into enhancing heat transfer in solar radiation phenomena on a curved surface. The problem formulation of governing equations includes the combined effects of thermal relaxation, Newtonian heating, radiation mechanism, and Darcy-Forchheimer to enhance the uniqueness of the model. This research employs the Cattaneo–Christov heat theory model to investigate the thermal flux via utilizing the above-mentioned phenomenon with a purpose of advancing thermal technology. A mixture of silicon dioxide (SiO_2)\ and Molybdenum disulfide (MoS_2) is considered for the nanoparticle’s thermal propagation in base solvent propylene glycol. The simulation of the modeled equations is solved using the Shifted Legendre collocation scheme (SLCS). The findings show that, the solar radiation effects boosted the heating performance of the hybrid nanofluid. Furthermore, the heat transmission progress increases against the curvature and thermal relaxation parameter.Design/methodology/approachShifted Legendre collocation scheme (SLCS) is utilized to solve the simulation of the modeled equations.FindingsThe findings show that, the solar radiation effects boosted the heating performance of the hybrid nanofluid. The heat transmission progress increase against the curvature and thermal relaxation parameter.Originality/valueThis research employs the Cattaneo–Christov heat theory model to investigate the thermal flux via utilizing the above-mentioned phenomenon with a purpose of advancing thermal technology.
Propagation of plane waves at the initially stressed surface of an orthotropic nonlocal rotating half space under dual-phase-lag model
Authors: Boora Kirti , Deswal Sunita , Kalkal Kapil Kumar 
Published: June 2024

PurposeThe purpose of the current manuscript is to investigate the reflection of plane waves in a rotating, two-dimensional homogeneous, initially stressed, nonlocal orthotropic thermoelastic solid half-space based on dual-phase-lag model.Design/methodology/approachThe reflection phenomenon has been utilized to study the effects of initial stress, rotation and nonlocal parameter on the amplitude ratios. During the reflection phenomenon three coupled waves, namely quasi displacement primary wave (qP), quasi thermal wave (qT) and quasi displacement secondary wave (qSV) have been observed in the medium, propagating with distinct velocities. After imposing the suitable boundary conditions, amplitude and energy ratios of the reflected waves are obtained in explicit form.FindingsWith the support of MATLAB programming, the amplitude ratios and energy ratios are plotted graphically to display the effects of rotation, initial stress and nonlocal parameters. Moreover, the impact of anisotropy and phase lags is also observed on the reflection coefficients of the propagating waves.Originality/valueIn the current work, we have considered rotation and nonlocality parameters in an initially stressed orthotropic thermoelastic half-space, which is lacking in the published literature in this field. The introduction of these parameters in a nonlocal orthotropic thermoelastic medium provides a more realistic model for these studies. The present work is valuable for the analysis of orthotropic thermoelastic problems involving rotation, initial stress and nonlocality parameters.
Numerical assessment of viscoelastic tetra hybrid nanofluid flow across a stretchable rotatory disk under the Soret and Dufour aspects
Authors: Patgiri Bhagyashri , Paul Ashish , Sarma Neelav 
Published: June 2024

PurposeFluid flows through rotatory disks are encountered in industrial and practical engineering processes, such as computer storage devices, gas turbine rotators, rotating machinery, air cleaning machines, etc. The primary purpose of this research is to examine the combined aspects of variable electrical conductivity, thermal radiation, Soret and Dufour effects on a magnetohydrodynamic Maxwell single-walled carbon nanotubes–graphene oxide–multi-walled carbon nanotubes–copper (SWCNT–GO–MWCNT–Cu)/sodium alginate tetra-hybrid nanofluid flow through a stretchable rotatory disk.Design/methodology/approachThe modeled administrative equations of the present flow problem are converted to a non-dimensional system of ordinary differential equations by applying suitable similarity conversion and then solved numerically by implementing the bvp4c method. The impressions of noteworthy dimensionless parameters on velocity, temperature, concentration distributions, Nusselt number, skin friction and Sherwood number are reported via graphs and tables.FindingsThe authors figured out that the developed values of the rotation parameter diminish the temperature but enhance both the radial and angular velocities. Further, the mass and heat transmission rates are better for tetra-hybrid nanofluids than for ternary and hybrid nanofluids.Originality/valueThe present study emphasizes a special type of fluid called the tetra-hybrid nanofluid. The existing literature has not discussed the Maxwell tetra hybrid nanofluid flow through a stretchable rotatory disk with variable electrical conductivity. Besides, the novel aspects of magnetohydrodynamics, thermal radiation, Soret and Dufour effects are also incorporated into the present flow problem.
Robust and transferable end-to-end navigation against disturbances and external attacks: an adversarial training approach
Authors: Zhang Zhiwei , Nair Saasha , Liu Zhe , Miao Yanzi , Ma Xiaoping 
Published: June 2024

Purpose
This paper aims to facilitate the research and development of resilient navigation approaches, explore the robustness of adversarial training to different interferences and promote their practical applications in real complex environments.

Design/methodology/approach
In this paper, the authors first summarize the real accidents of self-driving cars and develop a set of methods to simulate challenging scenarios by introducing simulated disturbances and attacks into the input sensor data. Then a robust and transferable adversarial training approach is proposed to improve the performance and resilience of current navigation models, followed by a multi-modality fusion-based end-to-end navigation network to demonstrate real-world performance of the methods. In addition, an augmented self-driving simulator with designed evaluation metrics is built to evaluate navigation models.

Findings
Synthetical experiments in simulator demonstrate the robustness and transferability of the proposed adversarial training strategy. The simulation function flow can also be used for promoting any robust perception or navigation researches. Then a multi-modality fusion-based navigation framework is proposed as a light-weight model to evaluate the adversarial training method in real-world.

Originality/value
The adversarial training approach provides a transferable and robust enhancement for navigation models both in simulation and real-world.
Immigration and the Brexit Catastrophe: Empire, Citizenship and Ignorance
Authors: Hansen Randall 
Published: June 2024

AbstractThe article examines British immigration policy in the run‐up to and after Brexit. It explains how the Conservatives presided over policies that demonised, demeaned and deported black Britons whilst admitting hundreds of thousands of immigrants they promised to keep out. This happened because of (a) how early postwar nationality policy interacted with subsequent immigration policy and (b) elite ignorance. The ensuing Windrush scandal resulted from the interaction of the British Nationality Act 1948 with Home Secretary Theresa May's hostile environment policy. Meanwhile, since Brexit, net immigration figures have doubled. This is because Conservative Home Secretary Priti Patel ended the free movement of EU citizens and authored a new immigration policy that utterly failed to consider the British economy's dependence on low‐skilled labour. The outcomes reflect profoundly on the British economy, on the history of nationality law, and on immigration policy.