bluuebunny/crossref_metadata_2025_split huggingface dataset:
Contextual factors in selecting added versus naturally occurring sugars on fruit and vegetable beverages: emphasising the role of social context
Authors: Kim Kyounghee , Lee Hyeonjeong , Moon Junghoon 
Published: November 2024

PurposeThis study examines the consumption of fruit and vegetable (FV) beverages, distinguishing between sugar content, whether from added sugar (AS) or naturally occurring sugar (NOS). While FV beverages are widely perceived as a healthier alternative to other beverages, concerns about their sugar content persist, particularly for AS-sweetened beverages. This study examines the situational contexts (e.g. physical context, social context and temporal conditions) and food pairing contexts (vice versus virtue foods) that influence the selection of AS- over NOS-sweetened FV beverages. Furthermore, it also examines how situational factors and food pairing contexts interact to shape individuals’ FV beverage selection behaviour.Design/methodology/approachThis study used food diary data from March 2019 to May 2022 in South Korea, concentrating on the consumption of ready-to-drink FV beverages with food.FindingsThe results reveal specific situational contexts that increase the likelihood of choosing AS-sweetened FV beverages. In addition, AS-sweetened ones are more likely to be paired with vice foods, whereas NOS-sweetened ones are more likely to be paired with virtue foods. Furthermore, the study shows a significant interaction effect of the social context with paired food menus on FV beverage selection behaviour.Originality/valueThe consumer-centred approach of the study provides valuable insights into the decision-making processes behind FV beverage consumption. It validates that AS- and NOS-sweetened FV beverages are consumed in different situational contexts and with distinct food menus, enabling individuals to make healthier choices in their own consumption context.
Examining the association of climate change worry and awareness of ecological footprint reduction behaviours with Mediterranean diet adherence and climate-friendly food choices
Authors: Kabasakal Cetin Arzu , Şen Gülşen , Aksaray Beyza 
Published: November 2024

PurposeConsumers’ preferences for more sustainable dietary patterns and more climate-friendly foods can play a significant role in mitigating the effects of climate change. Accordingly, the present cross-sectional study aimed to examine the role of climate change worry and awareness of ecological footprint reduction behaviours in undergraduate consumers’ adherence to the Mediterranean diet and climate-friendly food choices.Design/methodology/approachThis cross-sectional study was carried out with 600 healthy undergraduate students, including 255 (42.5%) males and 345 (57.5%) females. They completed the climate change worry scale, the awareness scale for reducing ecological footprint and the Mediterranean diet adherence scale. In addition, participants’ climate-friendly diet scores (CFDS) were calculated to evaluate climate-friendly food choices. Data were analysed using SPSS software.FindingsLinear regression models indicated that climate change worry was positively associated with adherence to the Mediterranean diet (β = 0.121, p = 0.003) and CFDS (β = 0.087, p < 0.001). Similarly, a positive association was observed between the awareness of ecological footprint reduction behaviours and adherence to the Mediterranean diet (β = 0.179, p < 0.001) and CFDS (β = 0.098, p < 0.001).Research limitations/implicationsThe results may indicate that worry about climate change and awareness of ecological footprint reduction behaviours can promote higher adherence to the Mediterranean diet and more climate-friendly food choices, but the observed associations do not imply causality, and further studies are required to determine whether causal links exist.Originality/valueThis study examined the relationships between climate change worry, awareness of ecological footprint reduction behaviours, adherence to the Mediterranean diet and climate-friendly food choices in a single study on undergraduate students.
Family successor CEO and innovation investment: a study based on the theoretical upper echelons and conflict theory
Authors: Chen Canjun , Lv Lelin , Xu Changxin 
Published: November 2024

PurposeGrounded in upper echelons theory (UET) and conflict theory, the purpose of this study is to analyzes the innovative behavior of family firms from the perspective of the cognitive differences between successors and senior managers.Design/methodology/approachThis research employed a sample listed family firms in China. The obtained results were subjected to hierarchical regression analysis, complemented by rigorous model robustness testing through propensity score matching and regression with substitution variables.FindingsSuccessors engender task conflicts with family members in the top management team (TMT) due to cognitive differences, thereby stimulating corporate innovation. Conversely, successors engender relationship conflicts with non-family members in the TMT, impeding innovation. Furthermore, the performance expectations and the gender of the successor CEO also influence the relationship between cognitive differences and innovation between the successor and the TMT.Originality/valueThis study's originality and value lie in its innovative application of UET and conflict perspectives to dissect the intricate layers of intergenerational cognitive differences and their impact on the innovative behavior of family firms. It augments our comprehension of how the internal dynamics within family firms shape strategic innovation decisions.
Has digital infrastructure accelerated enterprises' specialization? Evidence from China
Authors: Jia Xiaofang , Li Xiangtao 
Published: November 2024

PurposeThis paper intends to explore the impact and mechanism of digital infrastructure development on enterprises vertical specialization. The following questions are discussed: (1) What is the impact of digital infrastructure on enterprise vertical specialization? (2) If the digital infrastructure serves to raise the level of vertical specialization of enterprises, does the impact differ depending on the level of city, industry and enterprise?Design/methodology/approachThe research employs the “Broadband China” strategy as a quasi-natural experiment for digital infrastructure development, with a multi-period difference-in-difference model constructed to test the research hypothesis. The study examined data from Chinese A-share enterprises listed between 2007 and 2019.FindingsThe study’s findings indicate that the construction of digital infrastructure significantly increases firms' vertical specialization. According to the mechanism analysis, digital infrastructure can increase vertical specialization by lowering market transaction costs. This study employs group regressions in terms of cities, industries and companies to gain a better understanding of the heterogeneity of this effect. The results indicate that digital infrastructure contributes more significantly to higher levels of vertical specialization among enterprises in areas with higher levels of innovation and entrepreneurship as well as in eastern and central cities, service industries, and mature firms.Research limitations/implicationsThere are two shortcomings to this study that warrant investigating further. The first limitation is the mechanism. This study simply looked at the mechanism between variables in terms of transaction costs, using existing theories. As the level of technology continues to improve, the process of digital infrastructure’s impact on vertical specialization requires greater investigation. Another weakness of this study is its country-specific focus. The effect of digital infrastructure on vertical specialization differs by country, reflecting disparities in economic growth. Further discussion of cross-national comparative studies is required.Originality/valueThe study’s marginal contributions are largely represented in the two aspects listed below: (1) This paper includes a comprehensive theoretical study of the influence of digital infrastructure development on vertical specialization, focusing on transaction costs. This provides a theoretical foundation for the empirical study presented in this paper; (2) this study fills the gap in earlier research in this field, and the findings broaden research findings in areas such as digital infrastructure development and vertical specialization.
Ethical transgressions in the construction industry in Sarawak, Malaysia: perspectives of quantity surveyors
Authors: Yip Hui Lian , Wong Shi Yee , Ding Chu Sheng , Low Wai Wah 
Published: November 2024

PurposeThe unethical practices of quantity surveyors (QSs) are affecting quality of construction projects, leading to projects’ time and cost overruns. However, the unethical practices of QSs specifically from contractor and consultant firms are currently understudied. Therefore, this research aims to investigate and categorize the unethical practices of QSs.Design/methodology/approachA questionnaire survey was employed and distributed to the QSs who work in the contractor and consultant firms. Ninety-five responses were analyzed using Mann–Whitney U-test, factor analysis and partial least square-structural equation modeling (PLS-SEM).FindingsThe findings unveiled disparity between the QSs who work in the consultant and contractor firms, as evidenced by 16 out of the 33 practices displaying statistical significance. The factor analysis results grouped 24 practices into seven components. The PLS-SEM analysis revealed that “contractors ‘collusion and consultants’ biased tender evaluation” had the most significant impact on the perceptions of ethical standards’ declination.Practical implicationsThe findings could serve as guideline for the management of consultant and contractor firms with QSs for better management procedures to avoid any intentionally or unintentionally unethical practices that may impact negatively on projects’ time, cost and quality.Originality/valueThis is one of the first studies investigating the perspectives of QSs from the contractors and consultancy firms’ perspective by employing factor analysis and PLS-SEM. The findings could contribute to the body of knowledge in tackling the ethical transgressions specifically related to contractors’ or consultants’ QSs.
Enablers of satisfaction with coworking spaces: assessing the influence of users’ personality and experience
Authors: Rodríguez-Ruiz Óscar , Labrado-Antolín Maribel , Fernández-Menéndez José , Delgado-Piña Isabel 
Published: November 2024

PurposeThis study analysed the extent to which differences in personality traits and coworking experiences affect coworkers’ satisfaction with coworking spaces (CWS).Design/methodology/approachThe present study is based on employee-workplace alignment theory (Appel-Meulenbroek et al., 2021). This approach addresses people’s ability to do their jobs in a certain work environment and studies job satisfaction as an outcome variable. We used a dataset of 135 CWS members grouped in the Spanish Association of Flexible Office Spaces, Prowork Spaces. The regression models were fitted using satisfaction with coworking as the dependent variable.FindingsThe findings support the idea that some psychological traits of coworkers, such as extroversion and agreeableness, have a significant influence on their satisfaction with coworking. Our study also shows that the relationship between coworking experience and satisfaction is curvilinear.Originality/valueThis study contributes to the advancement of employee-workplace alignment theory by showing that some personality traits are relevant variables for person-organisation fit in CWS. While extroversion and agreeableness are traditionally associated with prosocial outcomes, we found that agreeable coworkers were not more satisfied with CWS. In addition, the study identified a nonlinear relationship between experience and satisfaction with CWS, which has not been detected in previous studies.
The economic and financial performance of biogas production: a retrospective analysis of the French case
Authors: Bourdin Sébastien , Condor Roland , Fournès Christine , Tessier Luc 
Published: November 2024

Purpose
While numerous studies have focused on the economic impact of technical changes made to anaerobic digestion plants, there is limited understanding of the overall economic and financial performance of the biogas production units. This study aims to analyse the economic and financial performance of the biogas production sector over a 5-year period using various accounting indicators.

Design/methodology/approach
The research is based on an examination of financial data of French biogas units over a five-year period (2015–2019). Following a research protocol detailed in the study, 334 units were studied: 192 projects run by farmers, 83 projects run by industrial companies and 59 run by a mixed partnership (farmers, local authorities, and industry).

Findings
This study reveals that biogas production is performing well both economically and financially, but the performance varies depending on the type of producer: farmers better perform from an economic point of view, while industrialists are looking for financial profitability. Farmers exploit their competitive advantage based on waste disposal. Industrialists offset this disadvantage by a better ability to raise funds to negotiate payment terms and interest rates.

Originality/value
The originality of the study lies in its business approach. It completes the energy efficiency one which is more usual in energy sector management publications. Additionally, the study spans a five-year period, providing a longitudinal perspective of companies’ economic and financial performance. Furthermore, the data is sourced from reliable government sources.
Machine learning­based approaches for enhancing human resource management using automated employee performance prediction systems
Authors: Uppal Aakanksha , Awasthi Yashmita , Srivastava Anubha 
Published: November 2024

Purpose
This study focuses on enhancing the accuracy and efficiency of employee performance prediction to enhance decision making and improve organisational productivity. By introducing advance machine learning (ML) techniques, this study aims to create a more reliable and data-driven approach to evaluate employee performance.

Design/methodology/approach
In this study, nine machine learning (ML) models were used for forecasting employee performance: Random Forest, AdaBoost, CatBoost, LGB Classifier, SVM, KNN, XGBoost, Decision Tree and one Hybrid model (SVM + XGBoost). Each ML model is trained on an HR data set covering various features such as employee demographics, job-related factors and past performance records, ensuring reliable performance predictions. Feature scaling techniques, namely, min-max scaling, Standard Scaler and PCA, have been used to enhance the effectiveness of employee performance prediction. The models are trained to classify data, predicting whether an employee’s performance meets expectations or needs improvement.

Findings
All proposed models used in the study can correctly categorize data with an average accuracy of 94%. Notably, the Random Forest model demonstrates the highest accuracy across all three scaling techniques, achieving optimise accuracy, respectively. The results presented have significant implications for HR procedures, providing businesses with the opportunity to make data-driven decisions, improve personnel management and foster a more effective and productive workforce.

Research limitations/implications
The scope of the used data set limits the study, despite our models delivering high accuracy. Further research could extend to different data sets or more diverse organisational settings to validate the model’s effectiveness across various contexts.

Practical implications
The proposed ML models in the study provide essential tools for HR departments, enabling them to make more informed data driven decisions with regard to employee performance. This approach can enhance personnel management, improve workforce productivity and fostering a more effective organisational environment.

Social implications
Although AI models have shown promising outcomes, it is crucial to recognise the constraints and difficulties involved in their use. To ensure the fair and responsible use of AI in employee performance prediction, ethical considerations, privacy problems and any biases in the data should be properly addressed. Future work will be required to improve and broaden the capabilities of AI models in predicting employee performance.

Originality/value
This study introduces an exclusive combination of ML models for accurately predicting employee performance. By employing these advanced techniques, the study offers novel insight into how organisations might transition from a conventional evaluation method to a more advanced and objective, data-backed approach.
From the player to the sponsor: exploring the interplay of attitudes in MMA sports sponsorship
Authors: Szymkowiak Andrzej , Garczarek-Bąk Urszula , Frątczak Agnieszka , Metelski Adam 
Published: November 2024

PurposeThis study aims to investigate the complex dynamics of sports sponsorship within the context of mixed martial arts (MMA). Specifically, it explores how audience attitudes toward MMA influence their perceptions of players and sponsors, and subsequently, how these attitudes affect brand perceptions and purchase intentions. Furthermore, this research examines the moderating effect of fans' attitudes toward MMA on the relationship between their attitudes toward sponsors and their purchase intentions. MMA was selected as the focus of this study due to its propensity to evoke more intense emotional responses than other sports, as evidenced by previous research.Design/methodology/approachStudy 1 was conducted to systematically assess the emotional responses elicited by MMA. This preliminary study involved 277 participants. Building on the findings from Study 1, Study 2 employed an online survey to investigate the relationships among various constructs related to MMA. This survey was facilitated through an external portal and included a sample of 459 participants residing in the United States. The constructs measured in this survey were attitudes toward the player (ATP), attitudes toward the sponsor (ATS), perception of brand quality (PBQ), purchase intention (ITP) and attitudes toward mixed martial arts (ATM).FindingsThe study reveals that respondents rated MMA the most negatively among the analyzed sports, with the highest standard deviation, indicating that MMA evokes extreme emotional responses. The findings confirm that attitudes toward the player positively influence attitudes toward the sponsor, aligning with sponsorship-linked marketing theory. Moreover, positive attitudes toward the player were found to enhance perceptions of the sponsor’s brand quality. The research further demonstrated that attitudes toward the sponsor and perceptions of brand quality mediate the relationship between attitudes toward the player and purchase intentions, underscoring the complex nature of consumer decision-making in MMA sponsorship.Originality/valueThis research provides novel insights into the critical role of audience engagement and personal connection with sports in formulating effective sponsorship strategies. It emphasizes the need for marketers to tailor their approaches to align with the sport’s personal significance to the audience, employing narratives that resonate with their identities and values. Enhancing player-sponsor associations through co-branded campaigns and endorsements is essential. Furthermore, consistently maintaining high product quality and fostering emotional connections with the sport are key strategies to drive increased purchase intentions.
Study on influence of friction conditions on the friction and wear performance of high-speed rail brake materials under high humidity environment
Authors: Ding Siyuan 
Published: November 2024

Purpose
Using the multifunctional friction and wear testing machine independently developed by the research group, the friction and wear tests of different friction conditions (contact pressure and sliding speed) are conducted on the brake materials of high-speed trains with the ambient humidity of 95% and the initial temperature of the disk of 200°C.

Design/methodology/approach
Friction and wear.

Findings
The test results show that changing the friction conditions has a significant effect on the braking performance of high-speed trains.

Originality/value
YES.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2024-0171/
Enhanced tribological properties of sliding contacts through the synergistic effect of PTFE film and PSAIL 2280
Authors: Xia Yanqiu , Chen Wenhao , Zhang Yi , Yang Kuo , Yang Hongtao 
Published: November 2024

Purpose
The purpose of this study is to investigate the effectiveness of a composite lubrication system combining polytetrafluoroethylene (PTFE) film and oil lubrication in steel–steel friction pairs.

Design/methodology/approach
A PTFE layer was sintered on the surface of a steel disk, and a lubricant with additives was applied to the surface of the steel disk. A friction and wear tester was used to evaluate the tribological properties and insulation capacity. Fourier transform infrared spectrometer was used to analyze the changes in the composition of the lubricant, and X-ray photoelectron spectroscopy was used to analyze the chemical composition of the worn surface.

Findings
It was found that incorporating the PTFE film with PSAIL 2280 significantly enhanced both the friction reduction and insulation capabilities at the electrical contact interface during sliding. The system consistently achieved ultra-low friction coefficients (COF < 0.01) under loads of 2–4 N and elucidated the underlying lubrication mechanisms.

Originality/value
This work not only confirm the potential of PTFE films in insulating electrical contact lubrication but also offer a viable approach for maintaining efficient and stable low-friction wear conditions.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2024-0222/
Bibliometric analysis of banking frauds and scams literature
Authors: Shukla Anurag , Kashni Tarun 
Published: November 2024

Purpose
This paper aims to undertake an evaluation of the research development and works associated with banking frauds and scams.

Design/methodology/approach
The authors have conducted bibliometric analysis of 288 studies on issues of banking frauds and scams, published up to August 4, 2024 using Scopus and the VOS viewer software.

Findings
This study disseminates top influential authors, countries, journals, papers, funding institutions and affiliations relating to banking frauds and scams. Generally, although a great deal of work has been accomplished in this area, there are prominent gaps in such findings.

Originality/value
To the best of the authors’ knowledge, this paper is the first comprehensive review of extant research relating to banking frauds and scams. It hence represents an original piece of work in applying bibliometric analysis to this topic area, offering valuable insights for practitioners and academics who seek to understand more about banking frauds and scams risks.