bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating the adoption barriers of circular business models in the Ghanaian construction industry
Authors: Asiedu Richard Ohene , Owusu-Manu De-Graft , Gyimah Samuel , Edwards David John , Amoakwa Alexander Baah 
Published: October 2024

PurposeTo transition into a green/circular economy (CE), both academics and industrialists have undertaken research into various areas of circular business models (CBM), yet despite numerous studies conducted, the ensuing discourse contains scant information regarding the barriers to CBM adoption in the built environment. Therefore, this present study explores the critical barriers hindering the adoption of CBM in the Ghanaian construction industry (GCI), establishing the criticality of the principal barriers identified.Design/methodology/approachThe mixed philosophies of interpretivism and postpositivism were adopted to deductively analyse primary data collected via a survey questionnaire. A comprehensive literature review was first conducted to identify the barriers of adopting CBM in the construction industry. Data gathered from professionals with knowledge of CBM and the green/CE were then analysed using descriptive statistics and inferential fuzzy synthetic evaluation.FindingsEmergent barriers to CBM adoption in the GCI were identified as institutional barriers (i.e. inadequate technology development and transfer, insufficient green incentives in the industry and lack of institutional framework that promote); proficiency barriers (i.e. lack of understanding of circular business models, inadequacy of expertise amongst construction professionals, unfamiliar techniques associated with circular business models and fear of greater investment cost) and cultural barriers (i.e. cultural reluctancy of clients to embrace circular urbanization, inadequate measurement tool, lack of a culture that encourages community engagement in environmental decision-making, inadequate performance information and database, lack of prior experience of stakeholders, inadequate government policies, low public awareness and lack of manufacturer and supplier support). The fuzzy synthetic analysis confirmed all the principal barriers as critical. These barriers had a respective criticality index of 3.66, 3.59 and 3.39. Evidently, the CBM adoption in the GCI faces major challenges and consequently, sector stakeholders must strategize their organizational undertakings to transition their traditional business models towards innovative circular ones.Originality/valueThis study provides a novel and thorough evaluation on the barriers to CBM adoption and establishes the criticality of the identified barriers. The study's findings offer essential direction to GCI stakeholders and policymakers to facilitate the shift towards a CE in accordance with the United Nations' Sustainable Development Goals (SDGs).
Climate policy uncertainty and economic growth, a moderating role of crude oil price changes: evidence from the Asian economies
Authors: Ullah Safeer , Yushi Jiang , Miao Miao 
Published: October 2024

Purpose
This study aims to inspect the impact of US climate policy uncertainty (CPU) on the economic growth of Asian countries with the moderating role of crude oil price (COP) changes.

Design/methodology/approach
The Im-Pesaran Sin and Fisher-type tests are used for stationarity check, while Kao and Pedroni tests are used for cointegration analysis. The Hausman test is applied for model selection, where pooled mean group autoregressive distributed lag (PMG/ARDL) has been selected and applied. Besides, the fully modified ordinary least squares is also used for robustness analysis. Additionally, the literature review and descriptive statistics have been used.

Findings
The main findings disclosed that US CPU negatively impacted the economic growth of Asian economies with high significance in the long run whereas insignificant in the short run. The results further concluded that COP positively affected economic growth both in the short and long run. Furthermore, the results also revealed that COP significantly and positively moderates the relationship between CPU and COP in the long and short run.

Originality/value
The study is the first of its kind to examine the impact of the US CPU on the economic growth of Asian economies. Second, it further revealed the moderating role of COP between US CPU and economic growth. Third, a large panel of data from Asian countries has been considered. Fourth, the study adds to the current literature by using the PMG/ARDL model to determine the impact of US CPU on economic growth. Additionally, this study focuses on the US CPU because it is a developed country playing a significant role in energy and climate issues, and has been very uncertain.
Effect of hot rolling process parameters on surface wear of descaling rolls
Authors: Zhang Guoxin , Liu Kun , Liu Guangqiang , Cao Zhizhong 
Published: October 2024

Purpose
The purpose of this study is to explain the effect of slab and roll initial temperatures on the wear characteristics of the surface of hot roll descaling rolls.

Design/methodology/approach
The UMESHMOTION subroutine and the Arbitrary Lagrangian-Eulerian adaptive mesh technique are used to investigate the wear profile of the descale roll surface and to evaluate the effect of the slab and roll’s initial temperature on the wear depth.

Findings
Wear is more pronounced at the edges of the roll-slab contact area and less severe in the roll-body’s central region. A rise in the initial slab temperature from 1,337 K to 1,429 K results in a 67% rise in maximum wear depth and 52% in frictional stress. The peak wear region progressively shifted toward the center of the roll body. A rise in the initial roll temperature from 308.15 K to 673.15 K caused a 46% reduction in maximum wear depth and 73% in frictional stress. The location of the peak wear region remained primarily unchanged.

Originality/value
This study used the UMESHMOTIONI subroutine and the Arbitrary Lagrangian-Eulerian adaptive mesh technique in ABAQUS® to evaluate the quantitative correlation between the wear depth of the descaling roll surfaces and the initial temperatures of the slab and rolls. This study offers valuable insights into improving the wear of descaling roll surfaces.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2024-0231/
Intrinsic data quality dimensions: expanding on Wand and Wang’s data quality model
Authors: Haug Anders 
Published: October 2024

PurposeStudies show that data quality (DQ) issues are extremely costly for companies. To address such issues, as a starting point, there is a need to understand what DQ is. In his context, the 1996 paper “Anchoring data quality dimensions ontological foundations” by Wand and Wang has been highly influential on the understanding of DQ. However, the present study demonstrates that some of the assumptions made in their paper can be challenged. On this basis, this study seeks to develop clearer definitions.Design/methodology/approachThe assumptions behind Wand and Wang’s DQ classification are discussed, on which basis three counter-propositions are formulated. These are investigated through a representation theoretical approach involving analyses of deficient mappings between real-world and information system states. On this basis, an intrinsic DQ classification is derived. A case study is conducted to investigate the value of the developed DQ classification.FindingsThe representation theoretical analysis and the case study support the three propositions. These give rise to the development of a DQ classification that includes three primary intrinsic DQ dimensions (accuracy, completeness and conciseness), which are associated with six primary value-level DQ deficiencies (inaccuracy, incorrectness, meaninglessness, incompleteness, absence and redundancy). The case study supports the value of extending Wand and Wang’s DQ classification with the three additional data deficiencies.Research limitations/implicationsBy improving the conceptual clarity of DQ, this study provides future research with an improved basis for studies and discussions of DQ.Originality/valueThe study advances the understanding of DQ by providing additional clarity.
Partial hedging in credit markets with structured derivatives: a quantitative approach using put options
Authors: Siggelkow Constantin 
Published: October 2024

This study develops a novel method for mitigating credit risk through the use of structured derivatives, focusing in particular on the use of European put options as a strategic hedging tool. Inspired by the work of Merton (1974), our approach introduces the concept of default triggered by the stock price ST breaching a predefined barrier B. By establishing a distributional equivalence between an existing default model and P(ST<B) for a given time T, we demonstrate the potential for reducing the necessary capital allocation for a projected loss X(T) by partially hedging with a European put option. We formulate and solve an optimization problem w.r.t. a specific risk measure to determine the optimal strike price for the option, and our numerical analysis confirms a reduction in the Solvency Capital Requirement (SCR) in markets with and without jumps. Our findings provide (insurance) companies with a pragmatic approach to mitigating losses while maintaining their current risk management framework.
Financial performance of emerging market companies during the COVID-19 pandemic: moderating role of sustainability performance
Authors: Aksoy Mine , Yilmaz Mustafa Kemal 
Published: October 2024

Purpose
This study aims to investigate whether sustainability performance (SP) served as a safeguard for firm profitability (FP) and enhanced corporate resilience in emerging markets during the COVID-19 pandemic.

Design/methodology/approach
Using a sample of 1,091 firms in 25 emerging markets from 2017 to 2021, this study analyses the moderating role of SP on the relationship between FP and COVID-19 by using hierarchical linear modelling at three levels: (a) time-level; (b) firm-level; (c) country-level.

Findings
The results indicate that during the years 2020–2021, emerging market firms with robust SP showed better FP in the midst of the COVID-19 pandemic. The findings also indicate that all dimensions of sustainability, i.e. environmental, social and governance (ESG), have significantly affected the FP in the post-COVID period. Hence, adhering to ESG principles aids in alleviating adverse financial repercussions during times of crises.

Practical implications
This study provides valuable insights for companies and policymakers for finding solutions that may assist them in improving SP globally and enduring crises resiliently. The findings are also relevant to institutional investors that consider SP as an investment criteria. Although the COVID-19 pandemic was temporary, the lessons learned could protect firms from future similar global crises.

Originality/value
This study enhances the understanding of the contingency relationship between sustainability and financial performance by offering up-to-date empirical insights within the context of emerging markets during the pandemic. It demonstrates how different institutional frameworks influenced the SP–FP association during the crisis. Thus, this paper expands the understanding of crisis management literature and bridges the research void concerning the impact of SP on FP in an emerging market context.
Eco-conscious luxury: decoding the preferences of affluent travellers in sustainable hospitality
Authors: Jana Abhisek , Shandilya Gautam , Srivastava Praveen 
Published: October 2024

PurposeThis research investigates the factors that drive affluent customers to engage in sustainable behaviours, particularly their choice to stay in green hotels. The study aims to understand how green purchase intentions (GPI) translate into green purchase behaviours (GPB), focusing on how the scarcity of green hotels may influence this relationship.Design/methodology/approachUsing a quantitative research method, the study examines several key predictors – such as ecological concern, perceived behavioural control, social norms and green attitudes – and their impact on GPI and GPB. Data were gathered from 418 affluent consumers through a structured survey, capturing their views on ecological concern, perceived control, social norms, green attitudes and related purchasing intentions and behaviours. The data were then analysed using SPSS and AMOS, with additional validation through artificial neural networks (ANN).FindingsThe findings indicate that ecological concern, perceived behavioural control, social norms and green attitudes significantly affect GPI among affluent consumers, and there is a strong positive correlation between GPI and GPB. Additionally, the study highlights that the unavailability of green hotels weakens the intention–behaviour link.Research limitations/implicationsOne limitation of this study is its reliance on self-reported data, which may be subject to social desirability bias and may not accurately reflect actual behaviour. Additionally, the study focuses on a specific context, green hotel purchases, which may limit the generalizability of the findings to other green consumer behaviours or industries. The cross-sectional nature of the study also prevents the establishment of causality between the constructs. Furthermore, the study may not account for other potential moderating variables, such as price sensitivity, brand loyalty or individual differences in environmental knowledge, which could also influence the relationship between green purchase intention and behaviour.Practical implicationsThe research emphasizes the importance of perceived behavioural control and the detrimental impact of limited green hotel availability on the intention–behaviour relationship. The study provides practical insights for hotel managers, recommending clear communication strategies, deeper integration of sustainability practices and collaboration with policymakers to encourage sustainable consumer behaviours.Originality/valueThis study stands out by focusing on affluent consumers and their green purchasing habits, contributing valuable knowledge to the field of sustainable behaviour.
ESG performance and the persistence of green innovation: empirical evidence from Chinese manufacturing enterprises
Authors: Shan Haonan , Zhao Kai , Liu Yaoxu 
Published: October 2024

Purpose
This paper aims to investigate the actual impact, mechanism and internal and external environmental adjustment effect of ESG performance on the persistence of green innovation using data from China’s A-share manufacturing listed companies from 2009 to 2021.

Design/methodology/approach
Panel data regression models are used to explore the effect of ESG performance of manufacturing enterprises on the persistence of green innovation. To examine the mechanism of ESG performance affecting the persistence of green innovation of manufacturing enterprises, this paper refers to the research of Wen and Ye (2014) and constructs an analysis framework of intermediary effect.

Findings
This research was funded by Shandong Provincial Natural Science Foundation, grant number ZR2023MG075 & ZR2024QE171.

Research limitations/implications
There are a few more limitations to this study that might be discussed from the following angles: first, due to data availability, this paper examines the persistence of green innovation from the output perspective. The authors can expand the data sources in the future and investigate the input-output combinations in green innovation as a means of understanding its sustainability. Second, the mechanism studied in this paper includes management costs, entry of green investors and risk-taking ability. In fact, it is possible that ESG performance influences green innovation persistence in other ways as well; these can be investigated more in the future.

Originality/value
First, it concentrates on the persistence of green innovation in manufacturing enterprises, surpassing the quantitative aspect and thereby broadening the research scope. Second, by including the “management expense ratio,” “green investor entry” and “risk-taking” as mediating factors, the study delves deeper into the mechanisms through which ESG performance impacts the persistence of green innovation in manufacturing enterprises, further broadening the research scope. Third, this research incorporates the internal and external environments encountered by manufacturing enterprises into the analytical framework to investigate their adjustment effects in the process of ESG performance influencing persistent green innovation, thus widening the research perspective. Fourth, this study introduces the subdimensions of ESG performance, specifically environmental responsibility, social responsibility and corporate governance, and assesses their impacts on the persistence of green innovation in manufacturing enterprises, thus enriching the research narrative.
Computational outline on heat transfer analysis and entropy generation in hydromagnetic squeezing slip flow of hybrid nanofluid
Authors: Duari Pinaki Ranjan , Das Kalidas 
Published: October 2024

PurposeThe current work investigates an unsteady squeezed flow of hybrid-nanofluid between two parallel plates in occurrence with a uniform transverse magnetic field. Water is used as base fluid mixed with Graphene Oxide (GO) and Copper (Cu) nanoparticles. The flow considered here is under slip boundary conditions.Design/methodology/approachThe governing PDEs are transmuted into ODEs by applying an appropriate similarity transformation and then solved numerically using the 4th order R-K method with shooting technique. Graphical illustrations for velocity, temperature, entropy generation (NG), Bejan number (Be), streamline etc. are presented and discussed in detail from the physical point of view. The nature of the Nusselt number is also studied numerically through contour plots for different flow parameters.FindingsThere is no funding obtained for the research work.Social implicationsThis kind of study may be used in various fields including polymer processing, lubrication apparatus, compression including hydrodynamical machines compression, food processing etc.Originality/valueIt is observed that very little investigation has yet been made about the movement of hybrid nanofluid between two analogous plates.
Beyond labels: rethinking generation-based research and practice in the workplace
Authors: Dockweiler Doreen K. 
Published: October 2024

Purpose
This paper aims to critically examine the application of generational labels in workplace research and practice with the purpose to provide human resources (HR) scholar-practitioners with insights into limitations and potential biases of this approach.

Design/methodology/approach
Building on Mannheim’s framework, this paper critiques commonly-held assumptions that have perpetuated misconceptions about generational differences. It highlights challenges with generational classifications, methodologies and stereotypes, while offering recommendations to improve future research and application in HR.

Findings
Often, HR practices accept generational differences without questioning how employees are grouped into generations. Although not a new phenomenon, these generalizations can create bias when comparing generations. Instead, HR scholar-practitioners can create thoughtful approaches and examine data based on other effects, such as period and life stage.

Practical implications
This paper provides support for HR leaders to question assumptions to study generations in organizations. Suggestions are provided to improve research, expand training and advance dialogue in the workplace and shift away from the traditional thinking about generations.

Originality/value
Grouping employees into generations is a common practice, which is not often challenged. This paper provides research-based insights for HR leaders who are managing data, programs and practices based on arbitrary generational groupings. Organizations need to be mindful of the pitfalls, take a nuanced approach and ensure practices are evidence-based.
The Role of Information in Building a More Sustainable Economy: A Supply and Demand Perspective
Authors: FRIEDMAN HENRY L. , ORMAZABAL GAIZKA 
Published: October 2024

ABSTRACTInterest in sustainability information, from investors, managers, researchers, and others, has been expanding rapidly. We discuss recent advances and open questions related to sustainability reporting and disclosure through the lens of a supply and demand framework. Our discussion builds on prior research on financial reporting and highlights unique aspects of the provision of sustainability information.
Incidence and outcomes for children with idiopathic inflammatory myopathy in Western Australia—a long‐term population‐based study
Authors: Nossent Johannes , Keen Helen , Preen David B. , Inderjeeth Charles A. 
Published: October 2024

AbstractAimTo determine the incidence and health outcomes for juvenile idiopathic inflammatory myopathy (JIIM) in a long‐term whole‐population study.MethodsWe included patients under 18 years hospitalized in Western Australia (WA) from 1985 and 2015 with incident JIIM as defined by pertinent diagnostic codes for dermatomyositis (JDM) polymyositis (JPM), other JIIM and overlap myositis (JOM). We compared clinical outcomes and modified Charlson comorbidity scores with age and gender matched (2:1 ratio) patients with new onset juvenile idiopathic arthritis (JIA). Trends over time for annual incidence rate per million child‐population (AIR) were analyzed by least square regression and survival by Kaplan–Meier curves.ResultsWe included 40 patients with JIIM (63% female, median age 8.5 years) for an average AIR of 2.52 per million (CI 1.09–5.57). AIR was stable over time leading to a point prevalence of 52.61 (CI 40.57–67.06) in 2015. Most patients (80%) were classified as JDM with an AIR for JDM of 2.02 (CI 1.09–5.58) and AIR for the combined other JIIM at 0.51 (CI 0.24–1.15). There was female preponderance (62.5%) in both JIIM groups, but no evidence of seasonality. Over a median follow‐up of 13 years, one‐ and ten‐year survival was 94.1%. Compared to JIA patients, readmission (80.4 vs. 63.7, p = .02) and infection rates (15.2 vs. 9.6, p < .01) per 100 person‐years were higher for JIIM, with similar frequency of interstitial lung disease, fractures, and thrombotic events. At last observation, nearly all patients in both JIIM cohorts (97.5 vs. 92.5%) had accrued some form of comorbidity.ConclusionsThe overall incidence of JIIM leading to hospitalization in WA was stable over 30 years. JIIM prognosis remains suboptimal due to early mortality and accrual of long‐term comorbidity.