bluuebunny/crossref_metadata_2025_split huggingface dataset:
Realising the promise of value-based purchasing: experimental evidence of medical device selection
Authors: Matinheikki Juri , Kenny Katie , Kauppi Katri , van Raaij Erik , Brandon-Jones Alistair 
Published: May 2024

Purpose Despite the unparalleled importance of value within healthcare, value-based models remain underutilised in the procurement of medical devices. Research is needed to understand what factors incentivise standard, low-priced device purchasing as opposed to value-adding devices with potentially higher overall health outcomes. Framed in agency theory, we examine the conditions under which different actors involved in purchasing decisions select premium-priced, value-adding medical devices over low-priced, standard medical devices.Design/methodology/approach We conducted 2 × 2 × 2 between-subjects scenario-based vignette experiments on three UK-based online samples of managers (n = 599), medical professionals (n = 279) and purchasing managers (n = 449) with subjects randomly assigned to three treatments: (1) cost-saving incentives, (2) risk-sharing contracts and (3) stronger (versus weaker) clinical evidence.Findings Our analysis demonstrates the harmful effects of intra-organisational cost-saving incentives on value-based purchasing (VBP) adoption; the positive impact of inter-organisational risk-sharing contracts, especially when medical professionals are involved in decision-making; and the challenge of leveraging clinical evidence to support value claims.Research limitations/implications Our results demonstrate the need to align incentives in a context with multiple intra- and inter-organisational agency relationships at play, as well as the difficulty of reducing information asymmetry when information is not easily interpretable to all decision-makers. Overall, the intra-organisational agency factors strongly influenced the choices for the inter-organisational agency relationship.Originality/value We contribute to VBP in healthcare by examining the role of intra- and inter-organisational agency relationships and incentives concerning VBP (non-) adoption. We also examine how the impact of such mechanisms differs between medical and purchasing (management) professionals.
Algorithmic counterspaces: exploring Afro-Latino youth information practices using TikTok
Authors: Vacca Ralph 
Published: May 2024

Purpose
This paper investigates the digital information practices of Afro-Latino youth, focusing on their engagement with mental health content on TikTok. It aims to understand how racial and ethnic identity dimensions shape their information behaviors in digital spaces.

Design/methodology/approach
Employing qualitative methods, the study involved interviews with thirteen Afro-Latino teens. This exploratory approach, draws connections between Afro-Latino identity and information practices using three constructs: (i) typology of information practices, (ii) intersectionality, and (iii) assemblages.

Findings
The study reveals that Afro-Latino youth actively construct “information assemblages” and “algorithmic counterspaces” on TikTok, enabling them to engage with content that resonates with their identities. However, it also highlights the challenges posed by these spaces' temporary and algorithm-dependent nature in maintaining consistent engagement with mental health information.

Research limitations/implications
The research is limited by its small sample size and focus on a single platform, which may affect generalizability. Future research should explore other platforms, and draw a deeper distinction between content creators and other users.

Practical implications
This paper underscores the need for designers and educators to prioritize the importance of algorithmic literacy and design affordances that empower users to transparently understand algorithmic functionality, so as to support on-going engagement with algorithmic counterspaces.

Originality/value
This research offers novel insights into the digital information practices of Afro-Latino youth, a typically underrepresented group in academic research. It introduces new concepts in information science and digital media studies, highlighting the importance of intersectional identities in digital information practices.
Thermal error modeling method of truss robot based on GA-LSTM
Authors: Li Long , Chen Binyang , Yu Jiangli 
Published: May 2024

Purpose
The selection of sensitive temperature measurement points is the premise of thermal error modeling and compensation. However, most of the sensitive temperature measurement point selection methods do not consider the influence of the variability of thermal sensitive points on thermal error modeling and compensation. This paper considers the variability of thermal sensitive points, and aims to propose a sensitive temperature measurement point selection method and thermal error modeling method that can reduce the influence of thermal sensitive point variability.

Design/methodology/approach
Taking the truss robot as the experimental object, the finite element method is used to construct the simulation model of the truss robot, and the temperature measurement point layout scheme is designed based on the simulation model to collect the temperature and thermal error data. After the clustering of the temperature measurement point data is completed, the improved attention mechanism is used to extract the temperature data of the key time steps of the temperature measurement points in each category for thermal error modeling.

Findings
By comparing with the thermal error modeling method of the conventional fixed sensitive temperature measurement points, it is proved that the method proposed in this paper is more flexible in the processing of sensitive temperature measurement points and more stable in prediction accuracy.

Originality/value
The Grey Attention-Long Short Term Memory (GA-LSTM) thermal error prediction model proposed in this paper can reduce the influence of the variability of thermal sensitive points on the accuracy of thermal error modeling in long-term processing, and improve the accuracy of thermal error prediction model, which has certain application value. It has guiding significance for thermal error compensation prediction.
Applying the consumption values theory to explain farmers’ choice of interest–free agriculture financing products
Authors: Shaikh Imran Mehboob 
Published: May 2024

Purpose
Using the consumption values theory (CVT) as a baseline model, this study aims to evaluate the factors that influence farmers' decision-making behavior regarding interest-free agricultural financing products.

Design/methodology/approach
Data were gathered from 321 banking customers using questionnaires who are engaged with the agriculture sector and wish to obtain finance related to Islamic agriculture products.

Findings
The findings demonstrate that the decision behavior for Islamic agriculture financing products is highly influenced by epistemic, emotional and functional values. On the contrary, conditional and social values do not influence farmers’ choice behavior for Islamic agriculture financing products.

Research limitations/implications
There are a few limitations in this study. Initially, the study's geographic scope is limited to bank customers within the agriculture sector who live, in particular, in Southern Sindh province, Pakistan. Next, researchers extended the CVT to a specific focus on agricultural financing products by Islamic banks. Future researchers should take these concerns into consideration for better applicability, and it is anticipated that the research approach will be refined to best expand the results. Lastly, future researchers are expected to broaden the theory's relevance by considering the socio-cultural environmental conditions (culture, religious values and approaches) and social conditions in a wider range of Islamic agricultural financial instruments.

Practical implications
The findings are beneficial for practitioners intending to advance innovative Islamic agriculture financing products to cater to Pakistani farmers’ needs.

Originality/value
This research extends the CVT that offers valuable information for the development of consumers’ behavior in the setting of interest-free agricultural financing.
Central bank digital currency, economic growth and inflation
Authors: Ozili Peterson K. 
Published: May 2024

PurposeThis study aims to investigate the effect of CBDC issuance on economic growth rate and inflation rate in Nigeria. We are interested in determining whether the rate of economic growth and inflation changed significantly after the issuance of a non-interest bearing CBDC in Nigeria.Design/methodology/approachTwo-stage least squares regression and granger causality test were used to analyze the data.FindingsInflation significantly increased in the CBDC period, implying that CBDC issuance did not decrease the rate of inflation in Nigeria. Economic growth rate significantly increased in the CBDC period, implying that CBDC issuance improved economic growth in Nigeria. The financial sector, agricultural sector and manufacturing sector witnessed a much stronger contribution to gross domestic product (GDP) after CBDC issuance. There is one-way granger causality between CBDC issuance and monthly inflation, implying that CBDC issuance causes a significant change in monthly inflation in Nigeria. The implication of the result is that the non-interest bearing eNaira CBDC is not able to solve the twin economic problem of “controlling inflation which stifles economic growth” and “stimulating economic growth which leads to more inflation.” Policy makers should therefore use the eNaira CBDC alongside other monetary policy tools at their disposal to control inflation while stimulating growth in the economy.Originality/valueThere are no empirical studies on the effect of CBDC issuance on economic growth or inflation using real-world data. We add to the monetary economics literature by analyzing the effect of CBDC issuance on economic growth and inflation.
Network effectiveness in healthcare and the impact of the COVID-19 pandemic: connecting the dots
Authors: Oppi Chiara , Cattaneo Cristiana , Galizzi Giovanna 
Published: May 2024

PurposeFurther investigation is needed of network effectiveness in healthcare and how it is influenced by unpredictable events like COVID-19. Based on Provan and Milward’s (2001) framework, this study investigates the effectiveness criteria of healthcare networks and their potential contribution to network effectiveness during the pandemic’s challenges.Design/methodology/approachThis research employs an explanatory case study in a local area of Italy’s Lombardy Region and analyzes network effectiveness at the network level based on network member perceptions.FindingsNetwork effectiveness refers to the network’s ability to address patient needs, guaranteeing services through network members' coordinated efforts and a central coordinator that facilitates their interaction. Members’ capacity to strengthen their roles played a crucial part in sustaining network effectiveness when COVID-19 revised other members’ priorities and threatened achievement of network goals.Practical implicationsThis study’s findings equip healthcare managers and policymakers with knowledge about network effectiveness criteria at the network level, offering suggestions for managerial practices and network design to address exogenous shocks.Originality/valueThis study identifies factors that influence network effectiveness criteria and provides insight into how network members can contribute to sustaining effectiveness during crises.
Navigating ambitions: unveiling entrepreneurial intentions in family business through social cognitive theory
Authors: Zaman Sarfraz , Ahmed Hina , Shakil Muhammad Haseeb , Rafiq Muhammad , Ali Faiza 
Published: May 2024

PurposeThis study is an attempt to explore the determinants of entrepreneurial intentions in the context of family business background. There is a dearth of studies on the relationship between family business and entrepreneurial intentions. Three constructs of social cognitive theory (SCT) have been applied as mediators: self-efficacy, subjective norms and outcome expectations.Design/methodology/approachTo measure entrepreneurial intentions, the data have been collected from the postgraduate students of three universities in Pakistan. The questionnaire was distributed among the respondents, and 416 complete responses were taken from the students. Simple random sampling has been applied, and measurement and hypothesized models are tested by using the structural equation modeling technique in WarpPLS.FindingsThe results of this research reveal that family business background significantly affects the three elements of SCT (self-efficacy, subjective norms and outcome expectations), which further develop the individuals’ entrepreneurial intentions (EIs). The results showed that social cognitive elements are the underpinning mechanism that explains the relationship between family business background and EIs.Originality/valueThe similarity of the study is less than 18%.
Preparing for the future: metaverse readiness among library professionals in Pakistan
Authors: Subaveerapandiyan A. , Sardar Hina 
Published: May 2024

PurposeThis study aims to evaluate the readiness of library professionals in Pakistan for metaverse technology adoption. It assesses their familiarity with the metaverse, identifies potential applications within libraries, pinpoints skill gaps, and unravels challenges hindering integration.Design/methodology/approachEmploying a quantitative survey design, a survey was conducted from November 15, 2023, to December 15, 2023, targeting library professionals in Pakistan. The survey gathered data on familiarity with the metaverse, perceived applications in libraries, self-assessed proficiency in metaverse-related skills, and perceived challenges to metaverse adoption.FindingsLibrary professionals in Pakistan exhibit moderate familiarity with the metaverse, demonstrating higher proficiency in certain aspects such as virtual reality and digital assets but a lesser understanding of legal/regulatory challenges and societal impacts. Perceived highly impactful applications in libraries include virtual meetups, immersive learning programs, collaborative research spaces, and virtual librarian-led tutorials. Challenges hindering metaverse adoption include budget constraints, limited technical expertise, concerns about privacy/security, and resistance to change.Research limitations/implicationsThe study’s limitations include the sample size and the specific data collection timeframe, which might limit generalizability. The findings offer implications for training programs, resource allocation, and policy formulation to facilitate metaverse integration in Pakistani libraries.Originality/valueThis study contributes original insights into the metaverse readiness of library professionals in Pakistan, offering a comprehensive analysis of their familiarity, perceived applications, skill gaps, and challenges, enabling tailored strategies for metaverse integration in library services.
Pricing the second-hand dry bulk vessel through stacking ensemble with add-on plain feedforward neural networks
Authors: Zhao Jingzhou 
Published: May 2024

PurposeThe accurate valuation of second-hand vessels has become a prominent subject of interest among investors, necessitating regular impairment tests. Previous literature has predominantly concentrated on inferring a vessel's price through parameter estimation but has overlooked the prediction accuracy. With the increasing adoption of machine learning for pricing physical assets, this paper aims to quantify potential factors in a non-parametric manner. Furthermore, it seeks to evaluate whether the devised method can serve as an efficient means of valuation.Design/methodology/approachThis paper proposes a stacking ensemble approach with add-on feedforward neural networks, taking four tree-driven models as base learners. The proposed method is applied to a training dataset collected from public sources. Then, the performance is assessed on the test dataset and compared with a benchmark model, commonly used in previous studies.FindingsThe results on the test dataset indicate that the designed method not only outperforms base learners under statistical metrics but also surpasses the benchmark GAM in terms of accuracy. Notably, 73% of the testing points fall within the less-than-10% error range. The designed method can leverage the predictive power of base learners by incrementally adding a small amount of target value through residuals and harnessing feature engineering capability from neural networks.Originality/valueThis paper marks the pioneering use of the stacking ensemble in vessel pricing within the literature. The impressive performance positions it as an efficient desktop valuation tool for market users.
Is there a time-varying nexus between stock market liquidity and informational efficiency? – A cross-regional evidence
Authors: Patra Subhamitra , Hiremath Gourishankar S. 
Published: May 2024

Purpose
This study aims to measure the degree of volatility comovement between stock market liquidity and informational efficiency across Asia, Europe, North-South America, Africa, and the Pacific Ocean over three decades. In particular, the authors analyze the extent of the time-varying nexus between different aspects of stock market liquidity and multifractal scaling properties of the stock return series across various regions and diversified market conditions. This study further investigates several factors altering the degree of dynamic conditional correlations (DCCs) between the efficiency and liquidity of the domestic stock markets.

Design/methodology/approach
The study measures five aspects of stock market liquidity – tightness, depth, breadth, immediacy, and adjusted immediacy. The authors evaluate the multifractal scaling properties of the stock return series to measure the level of stock market efficiency across the regions and diversified market conditions. The study uses the dynamic conditional correlation-multivariate generalized autoregressive conditional heteroscedasticity framework to quantify the degree of volatility comovement between liquidity and efficiency over the period.

Findings
The study finds the presence of stronger volatility comovement between inefficiency and illiquidity due to the price impact characteristics of the stock markets irrespective of different regions and diversified market conditions. The extent of time-variation increased following the shock periods, indicating the significant role of the financial crisis in increasing the volatility comovement between inefficiency and illiquidity. The highest degree of time-varying correlation is observed in the developed stock markets of Northwestern and Northern Europe compared to the regional and emerging counterparts. On the other hand, weak DCCs are observed in the emerging stock markets of Europe.

Originality/value
The output of the present study assists investors in identifying diversification opportunities across the regions. Additionally, the study has significant implications for market regulators, aiding in predicting future troughs and peaks. The prediction, in turn, helps formulate capital market development plans during dynamic economic situations.
Plant strategy of root system architecture and exudates for acquiring soil nutrients
Authors: Fujii Kazumichi 
Published: May 2024

AbstractVascular plants develop diverse root system architectures and exudates to facilitate acquisition of soil nutrients (nitrogen and phosphorus). Plant species have inherently specific properties of root system architectures and exudates, but some plants exhibit high plasticity to respond to spatiotemporal variations in soil nutrient forms and availability. This paper synthesizes evidence on how plant species diversity and root plasticity contribute to soil nutrient mobilization and uptake in plants from the tropics to the Arctic with varying plant species diversity. The development of finer roots in the surface soil is a well‐known strategy for the acquisition of limited nutrients (especially phosphorus), but the allocation of roots foraging “nutrient hotspots” in deeper soil (podzolic soil or permafrost‐affected soils) is an alternative strategy for coniferous trees tested in the Arctic and boreal forests. This contrasts with findings in tropical forests, where diverse plant species with different capacities of organic acid exudation coexist and species composition shifts in response to phosphorus deficiency. In particular, high malate exudation from roots and rhizosphere microbes stimulates phosphorus solubilization, aluminum detoxification, and lignin degradation in acidic soils. The diversity and plasticity of the root system architecture, root exudation, and the flexibility of nutrient sources mitigate nutrient limitation in soil. Root plasticity facilitating soil nutrient acquisition has a large impact on biogeochemistry and soil formation, such as podzolization, in the long term.
Fifty Years after Peter Singer's Animal Liberation: What has the Animal Rights Movement Achieved so Far?
Authors: Weisskircher Manès 
Published: May 2024

AbstractThis article analyses the impact of the animal rights movement fifty years after the publication of Peter Singer's landmark book Animal Liberation in 1975. Examining the gains and losses of this vibrant social movement, the article takes a broad international perspective and makes the following key arguments: First, despite comprehensive animal welfare policies, state regulation has so far remained rather ineffective in reducing animal suffering, especially in those areas where most animals are being harmed. Second, consumer choices, lifestyles and markets have changed substantially, most importantly reflected in the recent rise of veganism—but only relatively small numbers of people have made the choice to abstain from most or even all animal products. Third, long‐term economic and demographic trends in human society constitute crucial challenges for reducing animal suffering globally. Fourth and lastly, cultured meat may offer significant potential for animal advocates to make future gains if some important obstacles can be overcome.
Wheat bran arabinoxylans: Chemical structure, extraction, properties, health benefits, and uses in foods
Authors: Chen Zhongwei , Mense Andrew L. , Brewer Lauren R. , Shi Yong‐Cheng 
Published: May 2024

AbstractWheat bran (WB) is a well‐known and valuable source of dietary fiber. Arabinoxylan (AX) is the primary hemicellulose in WB and can be isolated and used as a functional component in various food products. Typically, AX is extracted from the whole WB using different processes after mechanical treatments. However, WB is composed of different layers, namely, the aleurone layer, pericarp, testa, and hyaline layer. The distribution, structure, and extractability of AX vary within these layers. Modern fractionation technologies, such as debranning and electrostatic separation, can separate the different layers of WB, making it possible to extract AX from each layer separately. Therefore, AX in WB shows potential for broader applications if it can be extracted from the different layers separately. In this review, the distribution and chemical structures of AX in WB layers are first discussed followed by extraction, physicochemical properties, and health benefits of isolated AX from WB. Additionally, the utilization of AX isolated from WB in foods, including cereal foods, packaging film, and the delivery of food ingredients, is reviewed. Future perspectives on challenges and opportunities in the research field of AX isolated from WB are highlighted.