bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing future educators’ skills through art museum volunteering: insights from Chinese higher education
Authors: Li Chenglin , Li Jian 
Published: December 2024

PurposeThe research explores how these volunteering experiences in Chinese art museums influence students’ future teaching careers and employability.Design/methodology/approachOur study delves into the educational value of art museum volunteering for higher education students, focussing particularly on those majoring in elementary education. Utilising a triangulation methodology that includes questionnaires, in-depth interviews, and observations, we collected data from 30 art museums across 17 provinces in China. Our research aims to understand how these volunteering experiences influence students’ future teaching careers and employability.FindingsThe study examines the types of educational activities offered, the art education experiences gained and the impact on students’ skills. The findings suggest that volunteering enhances students’ practical skills in art education, creativity, critical thinking, cultural understanding and employability, contributing positively to their future educator roles. The findings highlight the importance of partnerships between museums and higher education institutions to improve the quality of art education and the professional preparation of future educators.Research limitations/implicationsWe identified some limitations. Because the period of investigation for this study was limited to a recent year, the unique strategies and techniques for conducting educational practices varied from museum to museum, resulting in different barriers and opportunities for improvement for volunteers. This study did not conduct a detailed analysis of gender- and region-specific differences, nor did it include interviews with museum educators and educational program spokespersons or an analysis of their opinions.Originality/valueOur research fills a notable gap in the existing literature by focussing on the Asian context and underscores the importance of collaborative efforts between museums and higher education institutions.
Understanding the motivational predictors of students’ persistence in work placement learning tasks
Authors: Ogbaekirigwe Charles O. , Ubah Ifeoma M.B. , Azubuike Amarachi Salome , Igwe Udodirim Angela , Okolie Ugochukwu Chinonso 
Published: December 2024

PurposeThis study examines how and whether expectancy for success and task values influence students’ persistence in work placement learning tasks (persistence). Also, it examines the mediating role of task values in the expectancy for success and students’ persistence nexus.Design/methodology/approachThis is a two-study finding. In Study 1, we conducted qualitative research using a sample of 21 undergraduate students undertaking work placement learning in seven firms in Nigeria to gain an in-depth understanding of how the two expectancy-value theory’s (ETV) core motivational factors (i.e. expectancy for success and task values) enhance students’ performance or achievement-related behaviour such as persistence. In Study 2, we conducted quantitative research employing structural equation modelling to test our proposed hypotheses. We used a sample of 395 undergraduates undertaking work placement learning in 189 Nigerian firms (public and private) to empirically test the hypothesized model.FindingsThe findings show that students who had higher self-confidence that they would succeed in the placement learning tasks and values for the tasks exhibited higher persistence. We found that students with more expectancy for success showed higher task values for their learning tasks. Although not hypothesized, the positive result is necessary and aligns with ETV assumptions. Lastly, the analysis showed that students’ higher persistence was not wholly due to their higher expectancies for success in the placement learning tasks, but rather because they showed higher values for the learning tasks. Theoretical and practical implications are discussed.Originality/valueOur study progressed the ETV research in the work placement learning context and offers a model of students' persistence in the context of our study. Understanding the important motivational roles of expectancy for success and task values in enhancing students’ persistence is relevant in that it can facilitate quality learning outcomes. From the qualitative and quantitative (our two-study) findings, we made suggestions on how higher education administrators and industries can use our hypothesized model to further improve the work placement learning programme.
Is effective coordination the key to sustainable performance? A probe into integrated e-agri supply chains in India
Authors: Singh Vinay , Agrawal Shivani , Kumar Sachin 
Published: December 2024

PurposeThe study aims to assess how e-agri supply chain coordination (SCC), supply chain integration (SCI) and competitive capabilities (COC) impact both market performance (MO) and operational performance (OP). It particularly emphasizes the critical role of information flow for the benefit of farmers, intermediaries and end-consumers, shedding light on the broader implications of these factors within the agricultural supply chain.Design/methodology/approachData are collected online from farmers, intermediaries engaged in buying/supplying agri-products and consumers using a semi-structured questionnaire of 25 items adapted from the extant literature measuring SCC, SCI, COC, OP and MP. The survey instrument is validated for its reliability, convergent and discriminant validity tests. Purposive and convenient sampling is used for data collection. Finally, 280 responses were analyzed using SEM to conclude the study.FindingsFindings underscore information flow’s significance in the e-agri supply chain, addressing various stakeholders’ needs. Technical excellence, featuring robust transaction capabilities and cost-effective maintenance is pivotal. Enhanced supply chain coordination fosters integration and efficient information sharing, enhancing agricultural market performance and sectoral efficiency.Research limitations/implicationsThe study explores technology adoption, understands information flow and coordination impact, enhances efficiencies, empowers farmers and promotes transparency, sustainability and consumer benefits.Practical implicationsThe study promotes efficient information flow, digital adoption, collaborative planning, tech investment and enhanced responsiveness for agricultural sector managers.Social implicationsThe study bridges the rural-urban divide, empowering farmers, providing fair pricing, sustainable practices, transparency, informed consumers, responsible consumption and income distribution.Originality/valueThe novelty of this study lies in its comprehensive information flow study, new theoretical model and e-agri-specific sub-constructs that define coordination and integration, aiding efficiency and competitiveness.
Experimental investigation of the influence of surface topographic parameters on fluid leakage through static metallic seals
Authors: Shereef Asif Ali , P.B. Dhanish 
Published: December 2024

Purpose
The purpose of this paper is to monitor leakage in the static sealing interface, using three-dimensional and two-dimensional surface topography parameters as indicators.

Design/methodology/approach
This study involved developing a test rig for examining fluid leakage in metallic seals. Leakage of water through the interface of the metallic valve and valve seats was measured. The analysis focused on the combined effect of roughness, waviness and form error of metallic seal surfaces on leakage, with a detailed emphasis on the significance of form errors through harmonic analysis.

Findings
The findings suggest that three-dimensional or areal surface texture parameters have more predictive control over leakage compared to two-dimensional or profile parameters, as they provide information about micro-leak channels in all directions. Moreover, it was observed that average amplitude parameters of surface topography, particularly the form error of metallic valves, are strongly correlated with leakage values compared with the roughness and waviness of the contact surface. In addition, the leakage in metallic seals is profoundly influenced by lower-order harmonics, with a corresponding increase as the average undulation number of the flatness profile rises.

Originality/value
This research contributes to the understanding of the relationship between surface topography and sealing performance, particularly in metallic seals. By emphasizing the importance of form errors and using advanced surface texture analysis techniques, the study offers insights that can aid in optimizing the design and performance of static seals in industrial applications.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2024-0186/
Research on reciprocating sealing performance and leakage rate prediction based on GA-PSO-BPNN hybrid algorithm
Authors: Liu Guozhen , Wang Liu , Liu Chuang , Bai Pengfei , Liu Tieming , Wei Chunping , Yi Zhang 
Published: December 2024

Purpose
This study aims to investigate the sealing performance of reciprocating seals under the effect of rubber abrasion using ABAQUS simulation software, and to propose a prediction framework based on a hybrid algorithm (GA-PSO-BPNN) to predict the leakage of reciprocating seals of downhole gauging instrumentation under different working condition parameters.

Design/methodology/approach
The authors combined the UMESHMOTION user program with the improved Archard wear model to investigate reciprocating seal performance. GA and a PSO were proposed as ways to enhance the BPNN’s predictive model.

Findings
The results show that the impact of fluid pressure fluctuations on the wear of the seal lip is more pronounced during the rapid wear phase compared to the steady wear phase. Similarly, variations in compression rate have a greater impact on seal lip wear at different stages of wear. The GA-PSO-BPNN prediction model outperforms the single-prediction model in terms of prediction accuracy.

Originality/value
The authors investigated sealing performance through simulation software and propose a GA-PSO-BPNN-based fault diagnosis method for rotating machinery. To verify the accuracy of the prediction model, a reciprocating sealing test platform for gauge work cylinders is constructed.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2024-0293/
A distributed algorithm for the multi-robot minimum time task allocation problem
Authors: Zhang Qing , Wang Yujuan , Cen Ruping 
Published: December 2024

Purpose
The purpose of this study is to address the challenge of task allocation in multi-robot systems by getting the minimum overall task completion time and task allocation scheme while also minimizing robot energy consumption. This study aims to move away from traditional centralized methods and validate a more scalable distributed approach.

Design/methodology/approach
This paper proposes a distributed algorithm for the multi-robot task allocation problem, aimed at getting the minimum task completion time along with the task allocation scheme. The algorithm operates based on local interaction information rather than global information. By using the Consensus-Based Auction Algorithm (CBAA), it seeks to effectively minimize energy consumption without affecting the minimum completion time required for overall task allocation.

Findings
The proposed distributed algorithm successfully reduces robot energy consumption while effectively obtaining the shortest overall task completion time and corresponding task allocation scheme. Numerical simulations conducted using MATLAB software demonstrated its superior performance, and empirical testing on the Turtlebot3-Burger robot platform further substantiated these findings.

Originality/value
The original contribution of this study lies in the development of an enhanced distributed task allocation strategy using CBAA to improve efficiency in multi-robot environments. Its value extends to applications that require rapid and resource-aware coordination, such as automated logistics or search-and-rescue operations.
Key determinants of street vendor sales in Dhaka: infrastructure and socioeconomic factors
Authors: Yesmin Nurshad , Calzada Olvera Beatriz 
Published: December 2024

PurposeThis research identifies the individual socioeconomic and urban infrastructure attributes that explain the sales performance of informal street vendors in Dhaka, Bangladesh, shedding light on areas where public intervention could enhance informal vendors’ entrepreneurial activities.Design/methodology/approachThe study employs a quantitative methodology, focusing on two street vending areas in Dhaka: New Market Area and Mirpur-1. Primary data (n = 243) were randomly collected from vendors in these areas. The importance of various attributes was estimated using non-parametric, non-linear methods (random forests and geographical random forests). These results were compared with those obtained from linear multiple regression and Lasso regression models.FindingsThe study shows that having a designated vending spot is the most important attribute associated with higher sales, confirming the critical role of secure vending locations in urban planning policy. Other significant factors include the width of the sidewalk and the level of odors, indicating the role of urban infrastructure on sales performance. Key individual socioeconomic factors include having a bank account and working experience. The initial economic situation, measured by the log of initial capital, also plays a significant role, especially when accounting for spatial heterogeneity.Originality/valueThis research explores the relationship between individual socioeconomic characteristics, urban infrastructure and street vendors' sales performance using advanced machine learning models. Our findings underscore the significance of adequate street vending infrastructure and access to banking services, highlighting critical areas for public policy intervention to support this vital entrepreneurial activity.
Balancing borders: exploring work–life balance and its impact on business performance among women entrepreneurs in the United Arab Emirates
Authors: Tahir Rizwan 
Published: December 2024

Purpose
This study aims to explore how achieving a harmonious work–life balance (WLB) can enhance the business performance of women entrepreneurs in the United Arab Emirates (UAE). Using border theory as a framework, it investigates the specific challenges and strategies these entrepreneurs use to manage their dual roles in professional and personal domains.

Design/methodology/approach
This qualitative study uses in-depth interviews with 50 women entrepreneurs across various ages, nationalities and business types in the UAE. Purposeful sampling was used to ensure a diverse range of viewpoints.

Findings
The study finds that maintaining a WLB is crucial for the success and growth of women entrepreneurs in the UAE. A balanced work-life leads to higher job satisfaction, improved work quality and increased customer satisfaction, which collectively drive business success. Conversely, a lack of WLB results in stress, burnout and reduced productivity, negatively impacting business outcomes. Thus, WLB is essential for the well-being, efficiency and overall success of women entrepreneurs.

Originality/value
This research extends border theory by examining how women entrepreneurs, a unique workforce segment, balance their professional and personal lives in the UAE’s distinct socio-cultural context. It offers new insights into the challenges and strategies of achieving WLB, highlighting the significant role of family support and technology in this process. The study also underscores the importance of WLB for women’s entrepreneurship, contributing to broader discussions on gender, work–life integration and entrepreneurial success.
Relational risk, knowledge sharing and supply chain resilience: the complementary role of blockchain governance and relational governance
Authors: Pu Guoli , Qiao Weiting 
Published: December 2024

Purpose
Given the sudden disruption caused by COVID-19, knowledge sharing between organizations has become a meaningful way to improve supply chain resilience. However, there is still a lack of in-depth research on how to reduce the threat to knowledge sharing caused by increased levels of relational risk. With the emergence of new digital technologies, whether blockchain governance can control relational risk and replace traditional relational governance remains to be demonstrated.

Design/methodology/approach
This study uses a cross-sectional survey approach in which quantitative data are collected from 300 participants from Chinese manufacturing enterprises to test the hypotheses.

Findings
The results show that relational and blockchain governance can significantly and complementarily reduce the level of relational risk in knowledge sharing. When the relational risk is at a low, medium or high level, the best matches of relational and blockchain governance are low-level relational governance–low-level blockchain governance, high-level relational governance–low-level blockchain governance and high-level relational governance–high-level blockchain governance, respectively.

Practical implications
The findings of this study have important practical implications for manufacturing enterprises in terms of how to choose reasonable governance modes to manage relational risk behaviour according to different relational risk levels to better understand the positive role of knowledge sharing in supply chain resilience.

Originality/value
The antecedent variables of knowledge sharing in previous studies are based on transaction cost theory or relational theory and have not moved beyond the original theoretical framework. This paper addresses this limitation, puts knowledge sharing in the academic context of digital technology, considers blockchain governance into the process of relational risk-knowledge sharing and defines blockchain governance, which is a novel approach in the supply chain resilience management literature.
Erosion of behavioural plasticity and pace‐of‐life shifts under multigenerational pharmaceutical pollution
Authors: Gasparini Clelia 
Published: December 2024

AbstractResearch Highlight: Aich, U., Polverino, G., Yazdan Parast, F., Melo, G. C., Tan, H., Howells, J., Nosrati, R., & Wong, B. B. M. (2024). Long‐term effects of widespread pharmaceutical pollution on trade‐offs between behavioural, life history and reproductive traits in fish. Journal of Animal Ecology. https://doi.org/10.1111/1365‐2656.14152. Pharmaceutical pollutants are increasingly common in aquatic ecosystems, and organisms living there are the unintended targets of these compounds, originally designed for humans. However, our understanding of these effects remains limited. In a recent study, Aich et al. (2024) investigated the effects of fluoxetine on a small freshwater fish, the guppy (Poecilia reticulata), with particular emphasis on behaviour. The authors found that, after multigenerational exposure to ecologically relevant concentrations of this compound, there was minimal impact on average behavioural traits at the population level. However, fluoxetine exposure reduced within‐individual behavioural plasticity and altered the delicate equilibrium among these traits. These findings could have far‐reaching evolutionary implications for how individuals and populations may respond to environmental changes and highlight the need for behavioural ecotoxicology to move beyond population‐level effects. This research provides valuable insights into the subtle and multifaceted—yet profound—impacts of pollutants on ecological and evolutionary processes, highlighting the importance of studying behavioural responses at the individual level to predict how populations will respond to our rapidly changing world.
Nutrient availability explains distinct soil fungal colonization of angiosperm versus gymnosperm wood
Authors: Zhao Zhuqi , Hu Zhenhong , Yang Teng , Xu Zhiyuan , Bai Zhenyin , Sayer Emma J. 
Published: December 2024

Abstract

Soil fungi play an essential role in the fungal colonization of deadwood, with consequences for multiple ecosystem functions such as wood decomposition. Nutrient deposition can substantially affect fungal activity, but it is unclear how external nutrient inputs and host plant nutrient content interact to influence soil fungal colonization of deadwood.

To advance understanding of fungal dynamics during deadwood decomposition, we conducted a field experiment with eight tree species (four angiosperms and four gymnosperms) under four nutrient additions (no nutrient addition, nitrogen (N)‐addition, phosphorus (P)‐addition and combined N‐ and P‐addition), to investigate fungal colonization and communities in different host plant clades (angiosperms and gymnosperms) over 3 years.

The study revealed that host plant clade and nutrient availability interact significantly, which strongly influenced soil fungal colonization of deadwood. The percentage of shared fungi (present in both soil and deadwood) was higher in angiosperms (38.1%–47.3%) than in gymnosperms (26.5%–36.5%). Saprotrophs were the dominant functional group in the shared fungal community, with symbiotrophs as the next most abundant group, and the dominant fungal taxa were mainly K‐strategists, which were more abundant in gymnosperms than in angiosperms. Notably, there was a stronger connection between soil fungi and deadwood fungi in gymnosperms compared to angiosperms, which was likely related to the importance of K‐strategist fungi for decomposing wood with low nutrient content.

Overall, the shared fungal community in angiosperms was more sensitive to nutrient addition than in gymnosperms, resulting in greater changes to fungal taxa and functional groups. In angiosperm wood, N‐addition significantly increased α‐diversity but decreased β‐diversity of the shared fungal community, indicating N‐limitation. In gymnosperm wood, P‐addition significantly reduced both α‐diversity and β‐diversity of the shared fungal community, indicating P‐limitation.

Synthesis. Our study demonstrates the divergent effect of nutrient addition on fungal colonization in angiosperms versus gymnosperms. Considering interactions between inherent plant traits and exogenous nutrient availabilities thus provides a more comprehensive understanding of the association between soil fungi and deadwood fungi during wood decomposition.