bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors influencing the purchase intention of ethanol blended fuel in India: a sustainable cities perspective
Authors: Gupta Shantanu , Yadav Sher Singh , Kar Sanjay Kumar , Harichandan Sidhartha 
Published: January 2025

PurposeUnderstanding consumer behaviour towards ethanol-blended fuel is crucial for assessing the adoption of alternate fuel vehicles (AFVs). By examining factors influencing purchase decisions, such as cost considerations, environmental concerns and perceptions of vehicle performance, researchers can elucidate patterns of consumer acceptance and identify barriers to widespread adoption.Design/methodology/approachThe study uses the theory of planned behaviour (TPB) and stimulus organism response (S-O-R). The current research aims to bridge the gap by focusing on consumers' intention to buy ethanol-blended fuel. Data were collected from 303 survey respondents and analysed using partial least square structural equation modelling (PLS-SEM).FindingsThe study finds that adopting motivation, policy incentives, risk perception and sustainable practices significantly influence the intention to purchase ethanol-blended fuel. Surprisingly, cost perception and infrastructure readiness do not have a significant impact on purchase intention.Social implicationsThe study proposes four innovative policy implications to amplify the adoption of ethanol-blended fuel. These policies are (a) flexible fuel vehicle incentive schemes, (b) renewable fuel mandate and certification, (c) ethanol pricing and infrastructure development policy and (d) ethanol urban mobility and public transportation initiatives.Originality/valueThis study provides novel insights into the factors influencing ethanol-blended fuel adoption in India, contributing to the literature on sustainable transportation solutions.
Unlocking circular economy: overcoming roadblocks to circular healthcare supply chain in Indian healthcare
Authors: Agrawal Deepak , Gupta Sumit , Dusad Chandni , Vishwakarma Amit , Meena M.L. , Dangayach G.S. , Jagtap Sandeep 
Published: January 2025

PurposeThe circular economy concept in the healthcare supply chain can demote using single-use devices by reprocessing, reusing or recycling. India is the most populous country in the world and has numerous challenges to implementing a circular economy in the healthcare supply chain. The objective of this study is to identify and analyse the roadblocks to circular healthcare supply chains in the Indian context.Design/methodology/approachThe contribution of the manuscript is to the healthcare supply chain in adopting a circular economy and prioritizing the roadblocks using Fuzzy FUCOM and Fuzzy Bonferroni Mean Operator. A sensitivity analysis is performed to check the robustness of the results obtained.FindingsThe finding of this study suggests that regulatory roadblock is a more important roadblock in adopting the circular economy in the healthcare supply chain. It is expected that the government should formulate precise and consistent guidelines for the implementation of a circular economy in the healthcare supply chain. In addition, for faster implementation, tax rebate policy should be framed for the industries that are taking the initiative to implement a circular economy in their system.Practical implicationsThis study explores and prioritizes twenty secondary roadblocks categorized into five primary roadblocks that will enhance the motivation of healthcare industries to become green and circular and contribute to the sustainability in healthcare sector. The government agencies should also take initiatives to create awareness about the circular economy among all the stakeholders.Originality/valueThis research is beneficial for policymakers, researchers, and industrial practitioners and is recommended based on current findings to facilitate the implementation of a circular economy in the healthcare sector.
What did firms do during COVID-19? An examination of corporate sustainability performance in Fintech firms
Authors: Okasha Salma , Ali Heba , Tarek Amira 
Published: January 2025

Purpose
This study aims to investigate the nexus between corporate sustainability performance, Fintech and COVID-19 by examining how COVID-19 has impacted Fintech firms’ environmental, social and governance (ESG) performance. The study further examines the long-term effects on ESG performance post-pandemic, to shed more light on the persistence of firms’ commitment towards sustainability in a post-pandemic world.

Design/methodology/approach
The sample includes all Fintech firms listed in the STOXX Global FinTech Index over the period 2014–2023. Fixed-effects regression analyses are conducted to examine this relationship, controlling for other firm characteristics. To further ensure results validity, the two-stage least squares estimation method is also used.

Findings
This paper find that Fintech firms exhibit better ESG/pillar performance during COVID-19, supporting the view that firms tend to maintain or enhance their sustainability practices. Interestingly, the findings also reveal that Fintech firms could maintain and even improve their ESG/pillar performance after the pandemic, indicating that these changes are lasting, not merely short-term adaptations during the hard times of the crisis.

Practical implications
For practitioners and firms, the results allow for a better understanding of Fintech firms’ tendency towards sustainability practices, especially in a post-pandemic world. For investors, the findings help get insights into the drivers of the sustainability behavior of Fintech firms in response to the pandemic.

Originality/value
To the best of the authors’ knowledge, this paper is one of the first attempts to investigate how COVID-19 affects Fintech firms’ engagement in sustainability/ESG activities to extend both the increasingly growing literature on sustainability and the literature that focuses on Fintech and its role in a today’s world.
Does green human resource management foster green advocacy? A perspective of conservation of resources theory
Authors: Liu Zonghua , Li Yanping , Guo Yulang , Zhang Ming , Ramsey Thomas 
Published: January 2025

PurposeWith increasing pressure to achieve environmental sustainability, hotel organizations implement green human resource management (GHRM) to inspire employees’ green behavior to improve environmental performance. Following the conservation of resources theory, this research aims to examine how GHRM fosters employee green advocacy.Design/methodology/approachData were obtained from 315 employees from 24 hotels in China. This study used the SPSS PROCESS to test the mediation and moderated mediation model.FindingsThe results showed that GHRM has a positive impact on green advocacy, and harmonious environmental passion (HEP) fully mediates the positive relationship between GHRM and green advocacy. Furthermore, the relationship between GHRM, HEP and green advocacy is moderated by environmentally specific transformational leadership (ESTL). Subsequently, the findings imply that the indirect effect of GHRM on green advocacy via HEP is stronger while ESTL is higher.Originality/valueThis study extends the research on GHRM and green advocacy by exploring how and when GHRM stimulates employee green advocacy via HEP in the Chinese context.
An economic and environmental perspective of the economic growth, emissions, foreign investment and renewables integration in the Black Sea region
Authors: Oprea Simona Vasilica , Bâra Adela , Georgescu Irina 
Published: January 2025

PurposeThe Black Sea countries hold geopolitical, economic and environmental relevance. This paper aims to analyze the relationship between CO2 emissions, economic growth, urbanization (URB), access to electricity (ACEL), foreign direct investment (FDI) and the integration of renewables (RES) in the region, offering insights from both economic and environmental perspectives.Design/methodology/approachThe paper conducts an econometric analysis using the autoregressive distributed lag (ARDL) model to examine the long-term and short-term relationships between GDP, CO2 emissions, FDI and RES integration in the Black Sea region.FindingsThe results indicate a positive long-term relationship between GDP and CO2 emissions, with a negative coefficient for GDP squared, supporting the environmental Kuznets curve (EKC) hypothesis. FDI is found to reduce CO2 emissions in the long term, rejecting the pollution haven hypothesis. In the short term, the EKC shows a less distinct and more volatile inverted U-shape relationship between GDP and CO2 emissions. The error correction term (ECT) is negative and statistically significant, suggesting a 75% correction rate when CO2 emissions deviate from the long-run equilibrium.Originality/valueThis study provides novel insights by linking economic growth, RES integration, FDI and environmental impact in the Black Sea region. It challenges the pollution haven hypothesis and offers nuanced perspectives on the short-term and long-term environmental impacts of economic activities.
Digital supply chain management: competitive advantage and sustainable production
Authors: Alphonse Kadiane Angaman , Zhang Guitao , Aslam Bilal , Guo Shujun , Ji Maowang , Maqsood Shoaib 
Published: January 2025

PurposeThe purpose of this investigation is to examine how the adaption of digital supply chain management (DSCM) practices affects the efficiency of factories and sustainable production. The research consists of eight constructs which, respectively, inspired eight hypotheses.Design/methodology/approachThe emergence of DSCM practices has significant importance for sustainable production and enhances overall firm performance.FindingsThe smart PLS-SEM approach allowed us to examine the data from 450 factories in Côte d'Ivoire. The results indicated that research hypotheses are highly significant and exhibit a strong correlation with DSCM for firm performance and competitiveness. The outcomes underscore the significance of DSCM strategies in achieving competitive advantage, enhancing firm performance and promoting sustainable production within the manufacturing sector.Originality/valueThis study is useful for policymakers, industrialists and the government of Côte d’Ivoire.
Eco-efficient green building design: integrating ecosystem-technology for energy efficiency and low-carbon in a cold and dry climate
Authors: Amani Nima 
Published: January 2025

PurposeThe purpose of this research is to design a residential green building using a sustainable approach from an ecosystem-technology perspective in the Darakeh area in the north of Tehran.Design/methodology/approachFirst step: based on climatic and geographical data, the study area is defined and a preliminary building design is developed. Second step: sustainable architecture principles and comfort zone requirements are analyzed to inform the design process. Third step: Building modeling and energy simulation are conducted using DesignBuilder software, incorporating green technologies. Final step: the building’s energy performance and environmental impact are assessed.FindingsThe results show that the amount of annual production of electricity due to the installation of solar collectors on the roof of the building is 12,236 kWh. Considering the building’s total area of 463 m2 and its annual energy consumption of 17,676 kWh, the energy consumption per square meter of building surface per year is 38 kWh.Originality/valueThe obtained findings showed that the designed building complies with the criteria of sustainable development and green building. A Giovanni-based EchoTech (ecosystem-technology) approach was used in this research, which greatly increases the reliability of the results.
How age and social norms shape tourists’ environmentally responsible behavior in forest parks: examination of value types and their variability
Authors: Lotfavi Manijeh , Salehi Laleh , Monavvarifard Feyzallah 
Published: January 2025

PurposeHuman values variability, despite its vital role in explaining tourists’ environmentally responsible behavior (ERB), is mostly overlooked in previous studies, especially regarding age differences and the social norm (SN) moderating effect. Therefore, the purpose of this study was to address how values differ among generations in predicting tourists’ ERB and whether SN acts as a moderator variable in the relationships between all types of values and ERB, depending on age differences.Design/methodology/approachThe multi-group analysis (MGA) alongside PROCESS analysis was used to test hypotheses and the proposed model.FindingsThe findings revealed that not only do value types affecting ERB differ across age groups but also how they influence behavior varies. Moreover, the findings indicated that SN does not moderate the relationship between value types and behavior in older adult tourists; they positively and significantly moderate the impact of conservation values on behavior in younger individuals.Originality/valueWe have shown how certain value types may have a greater influence on ERB at different stages of life and how identifying these value types for each age period can contribute to better planning for sustainable tourism destinations, including forest parks.
Examining the effect of leader self-deprecating humor on subordinate learning from failure
Authors: Liu Songbo , Wang Xi 
Published: January 2025

PurposeThis study aims to explore the effect of leader self-deprecating humor on subordinate learning from failure by considering task reflexivity as an explanatory mechanism and leader–subordinate value congruence as a boundary condition.Design/methodology/approachWe conducted a multi-wave survey of 342 members from 61 teams in a large research institute in China. Given the nested data, we used multilevel path analysis to test our moderated mediation model.FindingsThe results show that leader self-deprecating humor has positive indirect effects on subordinate learning from failure via task reflexivity, and this mediation effect is stronger when leader–subordinate value congruence is higher.Originality/valueThis study extends the literature on learning from failure by illustrating how leader self-deprecating humor can influence subordinates’ learning from failure in the innovation context.
Identifying story types of PhD candidates lecturing in higher professional education: “ups and downs”, “turnaround”, “continuous growth”, and “scholarly recognition”
Authors: van Winkel Monica A. , van der Rijst Roeland M. , Kuijer-Siebelink Wietske , Basten Floor , Sools Anneke M. , Poell Rob F. , van Driel Jan H. 
Published: January 2025

Purpose
Guided by the quest concept, this study aims to explore how profession-focused PhD candidates, who are concurrently lecturing at a Dutch University of Applied Sciences (UAS), make sense of change while pursuing doctoral objectives. The research question was: How do these PhD candidates navigate, experience and evaluate their enduring profession-focused doctoral quests across the nexus of research, education and professional fields, considering their aspirations?

Design/methodology/approach
Eight PhD candidates shared one-year quest experiences, illustrating how interactions with ‘actors’, ‘settings’ and ‘events’ shape doctoral transitions. These narratological concepts guided within-case and cross-case analyses, while grounded theory methodologies served to explore candidates’ sense-making of change over time.

Findings
Four story types of doctoral transitions emerged: “ups and downs”, “turnaround”, “continuous growth” and “scholarly recognition”. Candidates valued the Dutch UASs’ formal policy of supporting academic research with professional relevance. Across the story types, differences in aligning doctoral expectations among research and workplace supervisors and candidates affected knowledge exchange throughout the doctorate. When available, engagement in varied and comprehensive doctoral learning resources advanced candidates’ research competencies, including bridging diverse knowledge types. Autonomous candidate navigation was crucial for building partnerships, accessing dispersed learning resources and responding to uncertainties. Collaborative learning involving BSc-MSc students, colleagues and practitioners varied in strength across the story types, but enhanced the doctorate’s relevance, visible outcomes, feasibility and sustainability. The story types represent transition patterns that shaped how candidates developed new knowledge and contributed to their fields. While passion was a key motivator for candidates, it also heightened their vulnerability.

Practical implications
Analysing patterns in doctoral transitions provided actionable insights for optimising conditions and candidate navigation within the science–profession nexus.

Originality/value
The findings highlight that diverse actors can contribute to and benefit from profession-focused doctorates, driving momentum in integrating this research into education and innovation.
Evaluating HRM practices for embracing the digital circular economy in Indian manufacturing firms: an analytical study
Authors: Singh Rubee , Joshi Amit , Raghuveer Katragadda , Kumar Vikas 
Published: January 2025

Purpose
Human Resources Management (HRM) plays a crucial role in fostering sustainability and operational efficiency in Indian manufacturing firms. This study examines the impact of recruitment, training, and performance appraisal on the adoption of digital circular economy models, identifying gaps in current HRM practices and their impact on firm performance.

Design/methodology/approach
HRM practices significantly impact the adoption of a digital circular economy in Indian manufacturing firms, according to a study involving 256 employees across 17 firms, using structural equation modeling to test hypotheses and provide insights.

Findings
HRM practices in Indian manufacturing firms significantly contribute to the adoption of the digital circular economy, but the influence of compensation, rewards, and employee engagement on circular economy adoption needs to be better aligned with sustainability goals.

Research limitations/implications
The research has limitations in terms of limited sample size and focus on specific HRM practices, which may not fully represent the diverse landscape of Indian manufacturing firms and omit factors such as organizational culture and external environment.

Originality/value
HRM practices are significantly impacting the Indian economy, with a focus on enhancing sustainability and operational efficiency in manufacturing firms.
A study on factors influencing dynamic response of thin-walled box-girder railway bridge subjected to high-speed train load through regression modeling
Authors: Verma Virajan , Wani Khair Ul Faisal , Dhiman Sahil 
Published: January 2025

Purpose
The issue of evaluating the dynamic characteristics of a bridge due to the presence of rapidly moving vehicles has considerable importance. This study aims to conduct a comprehensive study on the variables that influence the dynamic behavior of a thin-walled box-girder bridge exposed to high-speed train loads using regression analysis.

Design/methodology/approach
The high-speed train is mathematically represented by a system with 38 degrees of freedom (DOF), while the sub-track system uses China’s Railway Track System slab track. The numerical modeling of the bridge is accomplished using computationally efficient finite elements that represent thin-walled box-beams. The rail’s imperfections are also accounted for, and they are represented using a power spectral density function. The dynamic response of the bridge is calculated using the Newmark-beta technique, considering several DOFs and stress resultants.

Findings
A thorough parametric analysis of the factors affecting the dynamic response of the bridge is conducted and a regression model has been proposed. The regression equation yields an excellent fit for shear force, distortional moment and distortional bimoment, with an R2 value near 1. It has also been observed that the range of the coefficient R2 in case of bending moment, torsion, torsional bimoment and vertical deflection typically falls between 0.82 and 0.9. R2 value near to 1 indicates that it is quite accurate in forecasting the dynamic influence of high-speed trains on the bridge’s response.

Originality/value
The originality of this research lies in pioneering the regression modeling of dynamic responses in thin-walled box-girder bridges and uniquely modeling high-speed trains with 38 DOF, which has not been previously explored in existing studies.
Predictive Effect of FT3 Within the Euthyroid Range on LDL‐C in Patients With Type 2 Diabetes: A Cross‐Sectional Analysis of Inpatients in China
Authors: Wang Yujue , Zhang Chi , Zhao Shangshuang , Xu Jinmei , Han Jun 
Published: January 2025

ABSTRACTEvidence regarding the relationship between free triiodothyronine (FT3) and low‐density lipoprotein cholesterol (LDL‐C) remains limited. This study aimed to evaluate the association between FT3 and LDL‐C levels in patients with type 2 diabetes mellitus (T2DM) who exhibit normal thyroid function. Between June 2022 and October 2023, a total of 3011 inpatients with T2DM and euthyroid status were continuously and non‐selectively recruited from a Chinese hospital. The average age of the included individuals was 56.92 ± 12.56 years, with 1430 (47.49%) males. The mean FT3 concentration was 4.35 ± 0.56 pmol/L. A logistic regression model was applied to analyse the relationship between the FT3 and LDL‐C levels, while smooth curve fitting was employed to investigate potential nonlinear associations between these variables. This study demonstrated a positive correlation (0.05 [95% CI: 0.02–0.07; p = 0.0018]) and nonlinear relationship (p = 0.0014) between FT3 and LDL‐C levels in Chinese patients with diabetes. Specifically, when FT3 was below 4.28 pmol/L, LDL‐C levels increased alongside rising FT3 concentration. However, when FT3 reached or exceeded 4.28 pmol/L, LDL‐C levels plateaued and tended to stabilise. These findings suggest that maintaining FT3 within the range of 2.76 to 4.28 pmol/L may be most beneficial for mitigating the progression of cardiovascular disease in patients with T2DM. Our research is important for identifying the optimal FT3 range to delay the progression of cardiovascular disease in patients with T2DM. These findings provide valuable insights to guide clinicians in preventing and managing cardiovascular disease in this population.
Mosquitoes Reared in Nearby Insectaries at the Same Institution Have Significantly Divergent Microbiomes
Authors: Brettell Laura E. , Hoque Ananya F. , Joseph Tara S. , Dhokiya Vishaal , Hornett Emily A. , Hughes Grant L. , Heinz Eva 
Published: January 2025

ABSTRACTThe microbiome influences critical aspects of mosquito biology and variations in microbial composition can impact the outcomes of laboratory studies. To investigate how biotic and abiotic conditions in an insectary affect the composition of the mosquito microbiome, a single cohort of Aedes aegypti eggs was divided into three batches and transferred to three different climate‐controlled insectaries within the Liverpool School of Tropical Medicine. The bacterial microbiome composition was compared as mosquitoes developed, the microbiome of the mosquitoes' food sources was characterised, environmental conditions over time in each insectary were measured, and mosquito development and survival were recorded. While developmental success was similar across all three insectaries, differences in microbiome composition were observed between mosquitoes from each insectary. Environmental conditions and bacterial input via food sources varied between insectaries, potentially contributing to the observed differences in microbiome composition. At both adult and larval stages, specific members of the mosquito microbiome were associated with particular insectaries; the insectary with less stable and cooler conditions resulted in a slower pupation rate and higher diversity of the larval microbiome. These findings underscore that even minor inconsistencies in rearing conditions can affect the composition of the mosquito microbiome, which may influence experimental outcomes.