bluuebunny/crossref_metadata_2025_split huggingface dataset:
Indian automotive supply chains: barriers to circular economy for sustainable development
Authors: Nandha Gopan S. , Balaji M. 
Published: October 2023

PurposeThe present paper examines the barriers hindering the implementation of circular economy practices in Indian automotive industries and identifies the most critical barriers to be eradicated during the circular economy implementation.Design/methodology/approachUsing a questionnaire survey-based analytic hierarchy process (AHP) approach, 21 barriers to circular economy implementation are identified through a literature review and ranked using the opinions of relevant industrial experts.FindingsBarriers, minimal or no proper economic incentives, difficulty in ensuring product quality and costing of CE products are identified as top barriers to be eliminated first to boost the chances of successful implementation of circular economy practices in Indian automotive industries.Practical implicationsThe study not only offers a roadmap on the order of elimination of barriers towards a circular economy but also provides insights from industrial experts on how these barriers can be eradicated and the ill effects of each barrier from an automotive industry perspective.Originality/valueThe authors develop a theoretical framework for barrier analysis for circular economy implementation in the Indian automotive sector using the classic AHP approach to identify the most critical barriers against successful implementation. Further, this study offers managerial implications on how these barriers can be eradicated in real.
Herd behavior in cryptocurrency market: evidence of network effect
Authors: Wanidwaranan Phasin , Termprasertsakul Santi 
Published: October 2023

PurposeThis study examines herd behavior in the cryptocurrency market at the aggregate level and the determinants of herd behavior, such as asymmetric market returns, the coronavirus disease 2019 (COVID-19) pandemic, 2021 cryptocurrency's bear market and the network effect.Design/methodology/approachThe authors applied the Google Search Volume Index (GSVI) as a proxy for the network effect. Since investors who are interested in a particular issue have a common interest, they tend to perform searches using the same keywords in Google and are on the same network. The authors also investigated the daily returns of cryptocurrencies, which are in the top 100 market capitalizations from 2017 to 2022. The authors also examine the association between return dispersion and portfolio return based on aggregate market herding model and employ interactions between herding determinants such as, market direction, market trend, COVID-19 and network effect.FindingsThe empirical results indicate that herding behavior in the cryptocurrency market is significantly captured when the market returns of cryptocurrency tend to decline and when the network effect of investors tends to expand (e.g. such as during the COVID-19 pandemic or 2021 Bitcoin crash). However, the results confirm anti-herd behavior in cryptocurrency during the COVID-19 pandemic or 2021 Bitcoin crash, regardless of the network effect.Practical implicationsThese findings help investors in the cryptocurrency market make more rational decisions based on their determinants since cryptocurrency is an alternative investment for investors' asset allocation. As imitating trades lead to return comovement, herd behavior in the cryptocurrency has a direct impact on the effectiveness of portfolio diversification. Hence, market participants or investors should consider herd behavior and its underlying factors to fully maximize the benefits of asset allocation, especially during the period of market uncertainty.Originality/valueMost previous studies have focused on herd behavior in the stock market. Although some researchers have recently begun studying herd behavior in the cryptocurrency market, the empirical results are inconclusive due to an incorrectly specified model or unclear determinants.
“A melting pot”: challenging student behaviour in the United Kingdom’s further education sector
Authors: Zaman Abu 
Published: October 2023

Purpose
Challenging behaviour among school pupils has been the focus of extensive research in the UK and beyond; however, there has been a lack of recent comparable research on these issues in the further education (FE) sector. This paper aims to report the findings from a larger PhD research examining the introduction of interventions based on restorative justice implemented in colleges. This study focuses on the extent and nature of challenging student behaviour, as explained and understood by the students and staff.

Design/methodology/approach
The author used an interpretivist exploratory case study design and mixed qualitative research methods. The institute considered in the case study, Restorative College (pseudonymised), has education provisions for students aged 16+ years and enrols over 16,000 students annually. In the academic year 2017/2018, Restorative College committed itself to becoming a “restorative” institution. Data collection consisted of three stages (including semi-structured interviews, analyses of institutional policy documents and focus group discussions) and was conducted over 14 months.

Findings
The extent and nature of challenging student behaviours in the FE sector are significant and merit further research and analysis to support policy development.

Research limitations/implications
Given the research methods adopted (single case study and qualitative research), the findings do not necessarily represent experiences across the FE sector.

Originality/value
This study emphasises the need to expand research on challenging behaviour in the FE sector, which has been limited thus far, also making a contribution in this direction.
Linkages between technologies and supply chain performance: benefits, power and risk reduction
Authors: Zelbst Pamela J. , Yang Liu , Green Kenneth W. , Sower Victor E. 
Published: October 2023

Purpose
The purpose of this paper is to assess the combined impact of the Industry 4.0 blockchain and industrial internet of things technology (IIoT) technologies on the development of supply chain linkages associated with power, benefits and risk reduction and the ultimate impact of the linkages on supply chain performance.

Design/methodology/approach
A structural model with blockchain and IIoT as antecedents to the supply chain power, benefits and risk reduction linkages and the linkages as antecedent to supply chain performance is theorized. Data collected from 303 US manufacturing managers are analyzed using a covariance-based structural equation modeling (CB/SEM) methodology.

Findings
The CB/SEM results indicate that blockchain technology does not directly impact implementation of the linkages. Rather, implementation of blockchain technology supports implementation of IIoT technology, which strengthens supply chain linkages, thereby improving supply chain performance.

Research limitations/implications
To the best of the authors’ knowledge, this study is one of the first to provide empirical evidence that Industry 4.0 technologies such as blockchain and IIoT strengthen linkages among supply chain partners related to power, benefits and risk reduction and that those stronger linkages lead to improved supply chain performance. It should be noted that this study is based on data from managers representing only one sector (manufacturing) and one country (USA). Replication based on data from other sectors and countries is needed to support generalization of the results.

Practical implications
Practitioners are provided with empirical evidence that the implementation of Industry 4.0 technologies such as blockchain and IIoT support supply chain management. These technologies facilitate data and information sharing among supply chain partners, enabling the integration and coordination of business processes throughout the entire supply chain.

Social implications
The ultimate customers of supply chains benefit when supply chain partners work together efficiently and effectively. The implementation of blockchain and IIoT digital technologies lead to improve linkages among supply chain partners driving improvements in both efficiency and effectiveness, thus benefiting customers and society.

Originality/value
Industry 4.0 technologies are relatively new with the promise of improved supply chain performance. The efficacy of Industry 4.0 technologies as mechanisms to enhance information sharing is demonstrated based on the results of this study.
Technological advancement and regulatory quality
Authors: Shen Jiahao , Liu Runze , Lin Yanling , Ibrahim Ridwan Lanre 
Published: October 2023

AbstractThis study investigates the intervening role of technological innovation and regulatory quality in the financial sector–sustainable economic growth nexus in accordance with SDG‐8 in 38 sub‐Saharan African (SSA) countries from 1996 to 2020. The empirical model endogenizes government expenditure, structural change, foreign direct investment, and human capital as covariates. The study verifies and examines the hypothesis by adopting common correlated mean group, system generalized method of moments, and panel quantile regression. Findings reveal that financial development drives sustainable economic growth in SSA for the long‐run model with improved magnitudinal effects observed with the intervention of technological innovation and regulatory quality. Furthermore, both technological innovation and regulatory quality promote sustainable economic growth in SSA. Moreover, structural change, foreign direct investment and government are boosters for sustainable economic growth whereas military expenditure hinders the growth. Recommendations are made based on the findings.
Systemic and iatrogenic factors contribute to the development of severe hypernatraemia in vulnerable inpatients
Authors: Kathpal Esha , Boehm Emma , Nguyen Christopher S. , Vogrin Sara , Hamblin Peter S. 
Published: October 2023

AbstractObjectivesTo determine all‐cause in‐hospital mortality associated with severe hypernatraemia and the causes, comorbidities, time to treatment, discharge destination and postdischarge mortality.DesignRetrospective observational cohort study.PatientsSevere hypernatraemia, (sodium concentration ≥ 155 mmol/L), at any time during a tertiary hospital admission in Melbourne, Australia, 1 January 2019 to 31 December 2019 (pre‐COVID19).MeasurementsDeaths, Charlson Comorbidity Index (CCI), hypernatraemia causes, time to treatment, discharge destination.ResultsOne hundred and one inpatients: 64 community‐acquired, 37 hospital‐acquired. In‐hospital mortality was 38%, but cumulative mortality was 65% by 1 month after discharge, with only a minor further increase at 6 and 12 months. After adjusting for peak sodium concentration, the community acquired group had significantly reduced odds of in‐hospital mortality (odds ratio 0.15, 95% confidence interval [0.04−0.54], p = .003). Iatrogenic factors were present in 57% (21/37) of the hospital‐acquired group. Only 55% of all cases received active sodium directed treatment. Time to start treatment did not affect outcomes. High levels of comorbidity were present, median CCI (IQR) was 6 (5−8) in the community and 5 (4−7) in the hospital group. Dementia prevalence was higher in the community group, 66% (42/64) versus 19% (7/37) (p = .001). Infection was the most common precipitant with 52% (33/64) in the community and 32% (12/37) in the hospital group. Of the survivors, 32% who had been living independently required residential care after discharge.ConclusionsMortality was high and loss of independence in survivors common. To potentially improve outcomes, hypernatraemia‐specific guidelines should be formulated and efforts made to reduce system and iatrogenic factors.
Telemedicine as a path to bridging inequities in patients with epilepsy
Authors: Yardi Ruta , McLouth Christopher J. , Mathias Sally , Jehi Lara 
Published: October 2023

AbstractObjectiveAccess to epilepsy specialist care is not uniform in the USA, with prominent gaps in rural areas. Understanding the reasons for nonattendance at epilepsy appointments may help identify access hurdles faced by patients. This study was undertaken to better understand clinic absenteeism in epilepsy and how it may be influenced by telemedicine.MethodsIn this retrospective study, social determinants of health were collected for all adult patients scheduled in epilepsy clinic, as either an in‐person or telemedicine appointment, at University of Kentucky between July 2021 and December 2022. The primary outcome measure was attendance or absence at the appointment. Subgroup analyses were done to better understand the drivers of attendance at telemedicine visits and evaluate telemedicine utilization by underserved populations.ResultsA total of 3025 patient encounters of in‐person and telemedicine visits were included. The no‐show rate was significantly higher for in‐person visits (32%) compared with telemedicine visits (20%, p < .001). A nominal logistic regression model identified seven factors increasing risk of absenteeism, including in‐person visits, prior missed appointments, longer lead times to appointment, Medicaid/Medicare as payors, no significant other, lower mean annual income, and minority race. For each $10 000 increase in mean annual income, the odds of missing the appointment decreased by 8% (odds ratio = .92, 95% confidence interval = .89–.96, p < .001). Forty‐one percent of underserved population opted for telemedicine visits, and they had a lower no‐show rate (22%) as compared with in‐person visits (33%, p < .001). Predictors of no‐shows to televisits (1382) included Medicare/Medicaid coverage (as opposed to private insurance), no significant others, and a history of missing appointments.SignificanceTelemedicine is effective at improving attendance, overcoming socioeconomic hurdles, and widening access to epilepsy care, particularly among underserved populations. Access to telecare depends on insurance coverage and emphasizes the need to include telemedicine in insurance plans to ensure uniform access to high‐quality epilepsy care, irrespective of socioeconomic status.
Research unbundling and market liquidity: Evidence from MiFID II
Authors: Fu Anqi , Jenkinson Tim , Newton David , Xie Ru 
Published: October 2023

AbstractThe second Markets in Financial Instruments Directive (MiFID II) mandated the unbundling of payments for research and trading. This research explores whether the impact of MiFID II differs between large and small firms in terms of analyst coverage and stock liquidity. Focusing on the UK stock markets we find a significant drop in analyst coverage on the Main Market, which leads to a deterioration in market liquidity. In contrast, the requirement of AIM firms to retain a Nominated Adviser, who often provides research coverage, has mitigated the impact of MiFID II.
Everyday ordinariness, neglected but important for mental health nurses' therapeutic relationships: An initial exploration for applying Daniel Kahneman's two systems of thinking
Authors: Deveau Roy 
Published: October 2023

AbstractMental health nurses undertake difficult and complex roles. Therapeutic relationships and engagement between mental health nurses and people experiencing severe mental ill‐health provide the core purpose and rationale for such mental health care. These relationships are influenced by factors outside of frontline mental health nurses control. They are difficult to define or describe with clarity, have limited ‘quantitative’ evidence of effectiveness and are frequently not experienced as therapeutic. This paper presents some initial ideas regarding ‘everyday ordinariness’ using psychologist Daniel Kahneman's two systems of thinking as a focus for understanding and potentially improving mental health nurse practice, and therapeutic relationships and engagement.
Impact of pureed and liquidised diets on health‐related quality of life scores in older patients during postacute rehabilitation: A pilot study
Authors: Shimizu Akio , Yamaguchi Kohei , Tohara Haruka 
Published: October 2023

AbstractBackgroundConsuming texture‐modified diets was considered to negatively affect health‐related quality of life (HR‐QoL). However, the precise relationship between the levels of food texture consumed and HR‐QoL remains uncertain. The present study aimed to determine the association between levels of food texture consumed and HR‐QoL.MethodsThis cross‐sectional study included 122 hospitalised patients aged ≥ 65 years (mean ± SD age 78.9 ± 7.9 years; 48.4% female) who required postacute rehabilitation. Consumed food texture levels were classified using the International Dysphagia Diet Standardization Initiative (IDDSI) framework 2.0. HR‐QoL was evaluated using the five‐level EuroQoL five‐dimension (EQ‐5D‐5L). The association between food texture levels and HR‐QoL was analysed using a multivariate linear regression model.ResultsThe lower food texture levels consumed were associated with significantly lower EQ‐5D‐5L scores. Consumption of pureed (IDDSI Level 4) and liqudised (IDDSI Level 3) diets were associated with lower EQ‐5D‐5L scores among older patients undergoing postacute rehabilitation (regression coefficient –0.304; 95% confidence interval = −0.472 to −0.137 and regression coefficient, −0.444, 95% confidence interval = −0.676 to −0.213, respectivly).ConclusionsThe findings suggest a link between the consumption of pureed and liquidised diets and lower HR‐QoL scores in older hospitalised patients undergoing rehabilitation. To establish a clearer cause‐and‐effect relationship, future research should encompass multicentre and longitudinal studies, building upon the insights from the present study.
Motivations for violent extremism: Evidence from lone offenders’ manifestos
Authors: Grigoryan Lusine , Ponizovskiy Vladimir , Schwartz Shalom 
Published: October 2023

AbstractThis study explores the motivational drivers of violent extremism by examining references to motivational goals—values—in texts written by lone offenders. We present a new database of manifestos written by lone offenders (N= 103), the Extremist Manifesto Database (EMD). We apply a dictionary approach to examine references to values in this corpus. For comparison, we use texts from a matched quota sample of US American adults (N= 194). Compared to the general population, extremists referred more often to values of security, conformity, tradition, universalism, and power, and less often to values of benevolence, stimulation, and achievement. In extremist manifestos, ingroup descriptions referred more to security and universalism values, whereas power values dominated outgroup descriptions. Non‐extremists referred to the same values in conjunction with “us” and “them” (benevolence and self‐direction). The values that extremists referenced suggest interpersonal detachment and a clear delineation of value narratives around “us” and “them”.
Patent licensing for signaling the cost‐reduction innovation: The case of the insider innovator
Authors: Wu Cheng‐Tai , Tsai Tsung‐Sheng 
Published: October 2023

AbstractWe analyze the patent licensing contracts offered by an insider innovator that has private information about the quality of innovation that can be transferred to two downstream firms. When information is complete, the first‐best choice is a pure‐royalty contract which is accepted by both firms (i.e., is nonexclusive). When information is incomplete, however, no nonexclusive contract can be supported as a separating equilibrium; it can only be the case where the innovator sells an exclusive contract to only one firm or a nonlicensing contract where no license is sold. In particular, when the gap in the innovation between the efficient and inefficient type is sufficiently small, there does not exist any separating equilibrium. It is sharply different from the case of an outsider innovation, in which a separating equilibrium always exists.
Value‐based care of older people—The impact of an acute outreach service unit on emergency medical service missions: A quasi‐experimental study
Authors: Mäki Lauri J. , Kontunen Perttu J. , Kaartinen Johanna M. , Castrén Maaret K. 
Published: October 2023

AbstractBackgroundTransfers to the emergency department can be burdensome for the residents of long‐term residential care facilities (LTRCFs) and often lead to adverse effects. Since March 2019, a nurse‐led acute outreach service unit “Mobile hospital” (in Finnish, Liikkuva sairaala, LiiSa) has been providing on‐site care to LTRCF residents to reduce transfers to the emergency department.MethodsThis study compares the numbers and acuities of emergency medical service (EMS) missions carried out in the LTRCFs of Espoo and Kauniainen during two six‐month periods: before the implementation of LiiSa and with LiiSa in use. In Finland, EMS missions are divided into four categories (A–D), with category A missions being the most urgent. These categories were used to investigate the impact on mission acuities.ResultsDue to the implementation of LiiSa, the number of EMS missions decreased by 16.8% (95% confidence interval 10.6%–22.6%, p < 0.001), the number of category D missions by 19.8% (7.1%–30.8%, p = 0.003) and the number of category C missions by 30.3% (17.3%–41.3%, p < 0.001). Changes in the numbers of category A and B missions were not statistically significant.ConclusionsLiiSa helped to avoid many transfers of frail LTRCF patients to the emergency department, and it did not hinder the care of patients with true emergencies by EMSs.
A clumped isotope diagenetic framework for the Ediacaran dolomites: Insights to fabric‐specific geochemical variabilities
Authors: Lu Chaojin , Koeshidayatullah Ardiansyah , Li Fei , Cui Huan , Zou Huayao , Swart Peter K. 
Published: October 2023

AbstractWhile marine dolomites formed under near surface conditions have been considered to be potentially reliable archives of past oceanic conditions, this interpretation comes with significant challenges because diagenetic alteration frequently produces diverse fabrics with large geochemical variability. It has been suggested that the Ediacaran dolomites in South China (Hamajing Member, Dengying Formation) recorded the oceanic conditions present at the time they formed, yet these dolomites are composed of five different fabrics (stromatolitic, micritic, oolitic, saddle dolomites and fibrous–radial dolomite cements) and show large variations in multiple geochemical isotope proxies (carbon, oxygen, clumped, magnesium and the sulphur of carbonate‐associated sulphate). This study establishes a paragenetic sequence for these dolomites by combining the clumped and the oxygen isotopic compositions, thereby assessing whether they are geochemically representative of the original seawater. Using this diagenetic framework, the micritic and stromatolitic dolomites show a closed‐system behaviour (low water–rock ratios; <0.3) and are largely resistant to the hydrothermal alteration during late diagenesis. In contrast, the ooid and cement fabrics have been affected by the hydrothermal fluid precipitating saddle dolomite in the open‐system condition with the high stimulated water–rock ratios (>1). Furthermore, in a closed‐system environment, the elevated δ24Mg and δ34S values in the stromatolitic dolomite reflect the isotopic Rayleigh fractionation that enriches the 26Mg and 34S through rock‐buffered recrystallization, coupled with microbial sulphate reduction. These results demonstrate that the complex signals in early marine dolomite should be carefully evaluated when used as a palaeoproxy.