bluuebunny/crossref_metadata_2025_split huggingface dataset:
Elite versus grassroots sports events sponsorship in China: an exploration of sponsors’ motives and objectives
Authors: Wang Qian , Fuchs Stéphan , Bodet Guillaume 
Published: February 2024

PurposeThis study explores the motives and objectives of sports sponsorship in China, taking into account the sports, social and cultural contexts. It also adopts a comparative approach to examine the sponsorship of elite and grassroots sports events in China.Design/methodology/approachThis study adopts a qualitative approach, employing semi-structured interviews with representatives of nine companies sponsoring elite and/or grassroots sports events in Western China. The data were analyzed through reflexive thematic analysis.FindingsIn China, sponsors are frequently driven to sponsor elite sport events by a sense of obligation and responsibility to the country, whereas their motives to sponsor grassroots sport events is primarily influenced by sincerity and goodwill. Chinese companies consider brand awareness, exposure and the relationship with the government and authorities as key factors for sponsorship, and use sponsorship to achieve market-related objectives.Originality/valueCompanies’ sponsorship motives and objectives have received significant attention in the literature, but mainly in Western countries. In the context of China, this study identifies how sponsors utilize social networks to shape their motives and objectives. It also reveals certain patterns common with the current literature, as well as specificities such as how the roles of the government and authorities are linked to the contingent economic and social context of the country. Furthermore, the differences between elite and grassroots sports events sponsorship are explained.
Founder ownership concentration and risk disclosures: an emerging economy view
Authors: Jain Surbhi , Raithatha Mehul 
Published: February 2024

PurposeThis paper examines the impact of founder ownership concentration (FOC) on risk disclosures. It further investigates the moderating role of risk governance in the association between FOC and risk disclosures.Design/methodology/approachWe use data from the top 200 Indian listed firms as our sample and rely on ordinary least squares (OLS) for our results. In addition, we use the propensity score matching, Heckman selection model and instrumental variable estimates for robustness checks.FindingsWe find that FOC decreases the risk disclosures. However, the effectiveness of risk management committee composition (risk governance) mitigates the negative influence of FOC on risk disclosures.Research limitations/implicationsThe paper is built on the agency theory. Based on the agency theory, the ownership concentration has two implications: first, it reduces the conflicts between managers and shareholders. Here, the managers act in favour of shareholders and therefore, brings more risk disclosers. Second, it invites conflicts between controlling and minority shareholders. The study is, therefore, interesting to see the cost and benefits of FOC on risk disclosures.Practical implicationsThe study has practical implications for the regulatory bodies to encourage risk disclosures and benefit the outsiders of the firm. It also has implications for the companies to see the benefits of risk management committee as improved risk governance.Originality/valueIt contributes to the literature of risk disclosures and risk governance in emerging economies. It is the first study to investigate the role of risk governance in mitigating the adverse effects of founder’s ownership on risk disclosures in developing economies. It also contributes to the theory of agency cost and information asymmetry.
Innovation-driven clustering for better national innovation benchmarking
Authors: Alqararah Khatab , Alnafrah Ibrahim 
Published: February 2024

PurposeThis research paper aims to contribute to the field of innovation performance benchmarking by identifying appropriate benchmarking groups and exploring learning opportunities and integration directions.Design/methodology/approachThe study employs a multi-dimensional innovation-driven clustering methodology to analyze data from the 2019 edition of the Global Innovation Index (GII). Hierarchical and K-means Cluster Analysis techniques are applied using various sets of distance matrices to uncover and analyze distinct innovation patterns.FindingsThis study classifies 129 countries into four clusters: Specials, Advanced, Intermediates and Primitives. Each cluster exhibits strengths and weaknesses in terms of innovation performance. Specials excel in the areas of institutions and knowledge commercialization, while the Advanced cluster demonstrates strengths in education and ICT-related services but shows weakness in patent commercialization. Intermediates show strengths in venture-capital and labour productivity but display weaknesses in R&D expenditure and the higher education quality. Primitives exhibit strength in creative activities but suffer from weaknesses in digital skills, education and training. Additionally, the study has identified 35 indicators that have negligible variance contributions across countries.Originality/valueThe study contributes to finding the relevant countries’ grouping for the enhancement of communication, integration and learning. To this end, this study highlights the innovation structural differences among countries and provides tailored innovation policies.
First insights into post-pandemic distress in a high secure hospital: correlates among staff and patients
Authors: Levtova Yara , Melunovic Irma , Mead Caroline Louise , Ireland Jane L. 
Published: February 2024

Purpose
This preliminary investigation aims to examine the psychological impact of the COVID-19 pandemic on patients and staff within a high secure service.

Design/methodology/approach
To discern the connection between COVID-19-related distress and multiple factors, the study involved 31 patients and 34 staff who completed assessments evaluating coping strategies, resilience, emotional reactivity, ward atmosphere and work-related aspects.

Findings
Results demonstrated that around a third of staff (31.2%) experienced COVID-19-related distress levels that met the clinical cut-off for possible post-traumatic stress disorder. Emotional reactivity, staff shortages, secondary traumatic stress and coping strategies were all positively correlated with COVID-19-related-distress. Resilience was negatively associated with distress, thus acting as a potential mitigating factor. In comparison, the prevalence of distress among patients was low (3.2%).

Practical implications
The authors postulate that increased staff burdens during the pandemic may have led to long-term distress, while their efforts to maintain minimal service disruption potentially shielded patients from psychological impacts, possibly lead to staff “problem-focused coping burnout”. This highlights the need for in-depth research on the enduring impacts of pandemics, focusing on mechanisms that intensify or alleviate distress. Future studies should focus on identifying effective coping strategies for crisis situations, such as staff shortages, and strategies for post-crisis staff support.

Originality/value
The authors postulate that the added burdens on staff during the pandemic might have contributed to their distress. Nonetheless, staff might have inadvertently safeguarded patients from the pandemic’s psychological ramifications by providing a “service of little disruption”, potentially leading to “problem-focused coping burnout”. These findings underscore the imperative for further research capturing the enduring impacts of pandemics, particularly scrutinising factors that illuminate the mechanisms through which distress is either intensified or alleviated across different groups. An avenue worth exploring is identifying effective coping styles for pandemics.
Forensic accounting, socio-economic factors and value added tax evasion in emerging economies: evidence from Jordan
Authors: Alshira’h Ahmad Farhan , Alshirah Malek Hamed , Lutfi Abdalwali 
Published: February 2024

Purpose
This study aims to determine the impact of forensic accounting, probability of detections, tax penalties, government spending, tax justice and tax ethics on value-added tax (VAT) evasion.

Design/methodology/approach
The study uses partial least squares-structural equation modeling to examine the connection between tax sanction, probability of detection, tax ethics, tax justice, forensic accounting and government spending on VAT evasion based on 248 responses collected from the retail industry in Jordan.

Findings
The findings also demonstrate that there is a negative correlation between tax sanctions, probability of detection, tax ethics, tax justice, forensic accounting, government spending and VAT evasion efficiency.

Practical implications
The results, considering forensic accounting and government expenditure considerations, may emphasize the importance of the tax sanction, probability of detection, tax ethics, adoption of tax justice in the public sector and tax authority. Additionally, the findings are important for regulators and decision-makers in announcing new laws and strategies for VAT evasion.

Social implications
It turns out that the tax authority and public sector can definitely improve their capacity to protect public funds and limit VAT evasion practices within SMEs by adopting increased tax sanctions, probability of detection, tax ethics, tax justice, forensic accounting and government spending.

Originality/value
Numerous studies have been conducted at the individual level in the context of income tax on the link between tax punishment, probability of detection, tax ethics, tax justice, forensic accounting and tax evasion. This study expands on the scant evidence of this connection to the retail business in the context of VAT avoidance. Additionally, it advances prior studies by integrating fresh elements, such as forensic accounting and government expenditure, that have never been considered in connection to VAT evasion in the retail sector.
Balancing prosperity and sustainability: unraveling financial risks and green finance through a COP27 lens
Authors: Sajjad Shakeel , Bhuiyan Rubaiyat Ahsan , Dwyer Rocky J. , Bashir Adnan , Zhang Changyong 
Published: February 2024

Purpose
This study aims to examine the relationship between financial development (FD), financial risk, green finance and innovation related to carbon emissions in the G7 economies.

Design/methodology/approach
This quantitative study examines the roles that financial development [FD: Domestic credit to private sector by banks as percentage of gross domestic product (GDP)], economic growth (GDP: Constant US$ 2015), financial risk index (FRI), green finance (GFIN: Renewable energy public research development and demonstration (RD&D) budget as percentage of total RD&D budget), development of environment-related technologies (DERTI: percentage of all technologies) and human capital (HCI: index) have on the environmental quality of developed economies. Based on panel data, the study uses a novel approach method of moments quantile regression as a main method to tackle the issue of cross-sectional dependency, slope heterogeneity and nonnormality of the data.

Findings
The study confirms that increasing economic development increases emissions and negatively impacts the environment. However, efficient resource allocation, improved financial systems, and green innovation are likely to contribute to emission mitigation and the overall development of a sustainable viable economy. Furthermore, the study highlights the importance of risk management in financial systems for future emissions prevention.

Practical implications
The study uses a reliable estimation procedure, which extends the discussion on climate policy from a COP-27 perspective and offers practical implications for policymakers in developing more effective emission mitigation strategies.

Social implications
The study offers policy suggestions for a sustainable economy, focusing on both COP-27 and the G7 countries. Recommendations include implementing carbon pricing, developing carbon capture and storage technologies, investing in renewables and energy efficiency and introducing financial instruments for emission mitigation. From a COP-27 standpoint, the G7 should prioritize transitioning to low-carbon economies and supporting developing nations in their sustainability efforts to address the pressing challenges of climate change and global warming.

Originality/value
In comparison to the literature, this study examines the importance of financial risk for G7 economies in promoting a sustainable environment. More specifically, in the context of FD and national income with carbon emissions, previous researchers have disregarded the importance of green innovation and human capital, so the current study fills the gap in the literature related to G7 economies by exploring the link between the identified variables related to carbon emissions.
Study the effect of axially perforated baffle plate with multiple opposite-oriented trapezoidal flow deflectors in an air–water tubular heat exchanger
Authors: Rahman Md Atiqur 
Published: February 2024

Purpose
The research focused on analysing a unique type of heat exchanger that uses swirling air flow over heated tubes. This heat exchanger includes a round baffle plate with holes and opposite-oriented trapezoidal air deflectors attached at different angles. The deflectors are spaced at various distances, and the tubes are arranged in a circular pattern while maintaining a constant heat flux.

Design/methodology/approach
This setup is housed inside a circular duct with airflow in the longitudinal direction. The study examined the impact of different inclination angles and pitch ratios on the performance of the heat exchanger within a specific range of Reynolds numbers.

Findings
The findings revealed that the angle of inclination significantly affected the flow velocity, with higher angles resulting in increased velocity. The heat transfer performance was best at lower inclination angles and pitch ratios. Flow resistance decreased with increasing angle of inclination and pitch ratio.

Originality/value
The average thermal enhancement factor decreased with higher inclination angles, with the maximum value observed as 0.94 at a pitch ratio of 1 at an angle of 30°.
Effect of gasoline-ethanol blends on the performance of a four stroke engine using Ricardo Wave software
Authors: Ukachi Paul O. , Ekpu Mathias , Ikpeseni Sunday C. , Sada Samuel O. 
Published: February 2024

Purpose
The purpose of this study is to assess the performance of fuel blends containing ethanol and gasoline in spark ignition engines. The aim is to explore alternative fuels that can enhance performance while minimizing or eliminating adverse environmental impacts, particularly in the context of limited fossil fuel availability and the need for sustainable alternatives.

Design/methodology/approach
The authors used the Ricardo Wave software to evaluate the performance of fuel blends with varying ethanol content (represented as E0, E10, E25, E40, E55, E70, E85 and E100) in comparison to gasoline. The assessment involved different composition percentages and was conducted at various engine speeds (1,500, 3,000, 4,500 and 6,000 rpm). This methodology aims to provide a comprehensive understanding of how different ethanol-gasoline blends perform under different conditions.

Findings
The study found that, across all fuel blends, the highest brake power (BP) and the highest brake-specific fuel consumption (BSFC) were observed at 6,000 rpm. Additionally, it was noted that the presence of ethanol in gasoline fuel blends has the potential to increase both the BP and BSFC. These findings suggest that ethanol can positively impact the performance of spark-ignition engines, highlighting its potential as an alternative fuel.

Originality/value
This research contributes to the ongoing efforts in the automotive industry to find sustainable alternative fuels. The use of Ricardo Wave software for performance assessment and the comprehensive exploration of various ethanol-gasoline blends at different engine speeds add to the originality of the study. The emphasis on the potential of ethanol to enhance engine performance provides valuable insights for motor vehicle manufacturers and researchers working on alternative fuel solutions.
Simulation and Verification of a Magnetically Controlled System for a Wireless Capsule Robot
Authors: Yan Rongguo , Gui Xinrui , Guo Xudong , Chen Shaoming 
Published: February 2024

Abstract
The incidence of digestive system disease is increasing with the development of society, the environmental transition, and changes in people's lifestyles. A magnetically controlled system (MCS) aimed at the examination of the digestive tract based on octupole electromagnets was proposed to manipulate a wireless capsule endoscopy (WCE) with an internal permanent magnet inside. The parameterization was utilized to optimize the magnetic field of the MCS by determining the structure of the electromagnets. Theoretical calculation and numerical simulation were carried out to compare the external magnetic field generated by the electromagnets with the internal magnetic field generated by the WCE. In vitro tests were studied on the experimental platform to evaluate the performance of the MCS, and it was found that the MCS performed well in directing the WCE's movement and causing the WCE to execute the prescribed action. The system, as a preliminary exploration of the magnetic field control system, was supposed to be employed in gastrointestinal examinations in the future.
simMACT, a Software Demonstrator to Improve Maximum Actuation Joint Torques Simulation for Ergonomics Assessment
Authors: Savin Jonathan H. , Rezzoug Nasser 
Published: February 2024

Abstract
The maximum actuation joint torques that operators can perform at the workplace are essential parameters for biomechanical risk assessment. However, workstation designers generally only have at their disposal the imprecise and sparse estimates of these quantities provided with digital manikin digital human model (DHM) software. For instance, such tools consider only static postures and ignore important specificities of the human musculoskeletal system such as interjoints couplings. To alleviate the weaknesses of existing approaches implemented in digital human modeling tools relying on torque databases, this paper describes a methodology based on a class of polytopes called zonotopes and musculoskeletal simulation to assess maximum actuation torques. It has two main advantages, the ability to estimate maximum joint torques for any posture and taking into account musculoskeletal specificities unlike existing digital human modeling tools. As a case study, it also compares simulated maximum actuation torques to those recorded during an experiment described in the literature, focusing on an isometric task of the upper limb. This simulation has led to similar or smaller errors than DHM software tools. Hence, this methodology may help in interpreting interjoint couplings, choosing appropriate mathematical models or design experimental protocols. It may also be implemented in DHM software to provide designers with more comprehensive and more reliable data.
Free Vibration and Buckling Analyses of Functionally Graded Plates With Graphene Platelets Reinforcement
Authors: Roun Sunchhorng , Nguyen Van-Loi , Rungamornrat Jaroon 
Published: February 2024

Abstract
While existing research has focused on using graphene platelets (GPLs) as reinforcement for homogeneous matrices, this study proposes a new nanocomposite for plate structures consisting of GPLs incorporated into a conventional functionally graded matrix with the aim of enhancing their overall stiffness. The performance of such plates is evaluated via free vibration and buckling analyses in the present study. Note that the matrix phase is graded continuously with the power law distribution across the plate's thickness, whereas various GPL dispersion patterns along the thickness are studied. The material properties of the typical functionally graded matrix are determined by the rule of mixture, and then those of the composite are estimated by the modified Halpin–Tsai model as well as the rule of mixture. Based on Hamilton's principle and the novel four-unknown refined plate theory (RPT4), the governing equations of the plate are developed. The Navier-type solution scheme is then adopted to get the critical buckling load and natural frequency of the nanocomposite plate. Numerical findings are examined to evaluate the novel nanocomposite plate model, and a parametric study is also conducted. In addition, high-accurate results are provided via the Navier-type solution here as benchmark solutions for further studies on functionally graded material structures reinforced by GPLs.
ERGO-II: An Improved Bayesian Optimization Technique for Robust Design With Multiple Objectives, Failed Evaluations, and Stochastic Parameters
Authors: Wauters Jolan 
Published: February 2024

Abstract
In this work, the efficient robust global optimization (ERGO) method is revisited with the aim of enhancing and expanding its existing capabilities. The original objective of ERGO was to address the computational challenges associated with optimization-under-uncertainty through the use of Bayesian optimization (BO). ERGO tackles robust optimization problems which are characterized by sensitivity in the objective function due to stochasticity in the design space. It does this by concurrently minimizing the mean and variance of the objective in a multi-objective setting. To handle the computational complexity arising from the uncertainty propagation, ERGO exploits the analytical expression of the surrogate model underlying BO. In this study, ERGO is extended to accommodate multiple objectives, incorporate an improved predictive error estimation approach, investigate the treatment of failed function evaluations, and explore the handling of stochastic parameters next to stochastic design variables. To evaluate the effectiveness of these improvements, the enhanced ERGO scheme is compared with the original method using an analytical test problem with varying dimensionality. Additionally, the novel optimization technique is applied to an aerodynamic design problem to validate its performance.
A Sustainable Product Multi-Platform Planning Model for Assembly and Disassembly Process
Authors: Zou Guangyu , Li Zhongkai , He Chao 
Published: February 2024

Abstract
The development of a product platform is an effective strategy to respond to dynamic market demands, decrease lead time, and delay product differentiation. However, the traditional product platform configuration method cannot satisfy the sustainability requirements for modern products. To solve this problem, a sustainable product multi-platform (SPMP) model for assembly/disassembly technology is proposed in this article. The proposed SPMP model measures the energy consumption of module instances during the installation based on the platform-based assembly index (PAI) and platform-based disassembly index (PDI), and provides a multi-platform solution for the assembly of the product family. To demonstrate the effectiveness of the proposed method, two product family cases are discussed. A simplified case shows that multi-objective particle swarm optimization (MOPSO) algorithm has a stronger optimization ability than the linear programing method in reducing the product processing cost. The hair dryer family case demonstrates that the proposed method reduces the energy consumption during assembly by linking sustainability to the product design.