bluuebunny/crossref_metadata_2025_split huggingface dataset:
Macroeconomic news and price jumps: evidence from ETFs and LOFs in China
Authors: Su Dongwei , Hu Tianhui 
Published: July 2024

PurposeWe examine the relationship between macroeconomic news and fund price jumps, using high-frequency 5-min intraday data for Exchange Traded Funds (ETFs) and Listed Open-end Funds (LOFs) from 2019 to 2020.Design/methodology/approachWe utilize the non-parametric jump test known as the LM method to detect fund price jumps. In addition, we perform Logistic regression to analyze the relationship between macroeconomic news and fund price jumps. Moreover, we use multiple linear regression to explore the relationship between fund price jumps and subsequent returns.FindingsThe probability of price jumps increases by 22.56% when macroeconomic news is released. Moreover, the returns associated with news-driven price jumps display a reversal pattern, and there is an asymmetric relationship in subsequent returns following macroeconomic shocks. Specifically, funds tend to exhibit lower returns after news-driven price jumps compared to those that are not influenced by news events.Research limitations/implicationsIn today's digital age, investors have unprecedented access to a wealth of information through the Internet and various communication platforms. News and market data can be instantly accessed and disseminated, allowing for swift dissemination of information to investors worldwide. However, despite this enhanced accessibility, investors continue to exhibit overreactions or underreactions to new information.Practical implicationsMacroeconomic news release provide crucial insights into the overall health and performance of the economy. By monitoring and analyzing these indicators, investors can gain valuable information that can guide their investment decisions. Furthermore, by fostering a transparent and reliable information disclosure systems, governments can play a critical role in ensuring the stability and transparency of the funds market.Originality/valueThe paper utilizes 5-min high-frequency data from funds and incorporates a comprehensive macroeconomic news information database. These methodological choices enhance the precision and reliability of the analysis, allowing for a more nuanced understanding of the relationship between macroeconomic news releases and fund price jumps.
Effects of differently shaped textures on the tribological properties of static and dynamic pressure thrust bearings and multiobjective optimization
Authors: Yu Xiaodong , Shi Guangqiang , Gao Weicheng , Yang Xinyi 
Published: July 2024

Purpose
The purpose of this study is to evaluate three types of textures designed to enhance the tribological performance of static and dynamic pressure thrust bearings.

Design/methodology/approach
To explore the effects of different types of textures on tribological performance, the Reynolds equation is modified using lubrication theory and computational fluid dynamics methods while considering the influence of cavitation and turbulence on the physical field. In addition, the tribological performance is optimized through an improved selection algorithm based on Pareto envelope (PESA).

Findings
The results indicate that textured thrust bearings exhibit superior tribological performance compared to untextured ones. The circular texture outperforms other textures in terms of load-bearing and friction performance, with improvements of approximately 28.8% and 18.9%, respectively. In addition, the triangular texture exhibits the most significant temperature improvement, with a reduction of approximately 1.93%.

Originality/value
The study proposes three types of textures and evaluates the friction performance of thrust bearings by modifying the Reynolds equation. In addition, the optimal texture design is determined using an improved selection algorithm based on PESA.
Developing Islamic-sustainable and responsible investment (i-SRI) criteria based on the environmental, social and governance (ESG) concept
Authors: Wahab Muhammad Zarunnaim Bin Haji , Mohamed Naim Asmadi , Abu Hassan Mohamad Hanif 
Published: July 2024

Purpose
The practices of sustainable and responsible investment (SRI) among Islamic financial institutions (IFIs) nowadays still rely on the existing environmental, social and governance (ESG) criteria. However, based on observation, some of the existing criteria listed by the reports of certain authorities and organizations do not seem to be aligned with Shariah principles. Therefore, this study aims to investigate those criteria to help develop Islamic-SRI (i-SRI) criteria based on the ESG concept.

Design/methodology/approach
This study adopted the qualitative method via content analysis of documents and interviews with experts.

Findings
Based on the analysis, a set of i-SRI criteria is developed based on the ESG concept, of which 33 elements are environmental, 50 elements are social and 26 elements are governance issues. Overall, this study finds that there is no obvious contradiction with the Islamic philosophy in the existing ESG criteria, with the exception of four criteria, i.e. promoting human rights, freedom of expression, freedom of censorship and freedom of association under social criteria. These four existing criteria are not aligned with Islamic teaching and not appropriate with Islamic ESG criteria.

Practical implications
The creation of Islamic ESG criteria can assist relevant authorities to improve the current ESG criteria and to embed an Islamic perspective within it.

Originality/value
This study developed a set of i-SRI criteria, which may be suitable as a source of reference to relevant parties.
The rise of hybrids: plastic knowledge in human–AI interaction
Authors: La Sala Antonio , Fuller Ryan , Riolli Laura , Temperini Valerio 
Published: July 2024

Purpose
The aim of this research is twofold: first, to get more insights on digital maturity to face the emerging 4.0 augmented scenario by identifying artificial intelligence (AI) competencies for becoming hybrid employees and leaders; and second, to investigate digital maturity, training and development support and HR satisfaction with the organization as valuable predictors of AI competency enhancement.

Design/methodology/approach
A survey was conducted on 123 participants coming from different industries and involved in functions dealing with the ramifications of Industry 4.0 technologies. The sample has included predominately small-to-medium organizations. A quantitative analysis based on both exploratory factor analysis and multiple linear regression was used to test the research hypotheses.

Findings
Three main competency clusters emerge as facilitators of AI–human interaction, i.e. leadership, technical and cognitive. The interplay among these clusters gives rise to plastic knowledge, a kind of moldable knowledge possessed by a particular human agent, here called hybrid. Moreover, organizational digital maturity, training and development support and satisfaction with the organization were significant predictors of AI competency enhancement.

Research limitations/implications
The size of the sample, the convenience sampling method and the geographical context of analysis (i.e. California) required prudence in generalizing results.

Originality/value
Hybrids’ plastic knowledge conceptualized and operationalized in the overall quantitative analysis allows them to fill in the knowledge gaps that an AI agent-human interplay may imply, generating alternative solutions and foreseeing possible outcomes.
Sustainable HRM strategies, enhancing organizational resilience and advancing sustainability goals
Authors: Mushtaq Sonia , Akhtar Shazia 
Published: July 2024

PurposeThis study aims to fill a gap in the literature by investigating the relationship between sustainable HRM, organizational resilience, and social, economic, and environmental sustainability.Design/methodology/approachThis study utilized a quantitative approach to examine the relationship between sustainable HRM, organizational resilience, and sustainability within the hotel industry. The research was conducted through a simple random survey of 153 hotels and restaurants, using online and face-to-face data collection methods. The data is analyzed through AMOS.FindingsThe study highlights that sustainable HRM practices enhance organizational resilience and contribute to social, economic, and environmental sustainability. This research makes theoretical contributions to the literature on HRM and sustainability while offering practical insights for the hotel industry in implementing sustainable HRM to tackle the grand challenge of sustainability. Our findings indicate a positive influence of sustainable HRM on sustainability through organizational resilience.Originality/valuePrevious research needs to adequately explore how sustainable HRM contributes to all three dimensions of sustainability. This study aims to address this gap and provide implications for academics and managers by presenting evidence that sustainable HRM makes organizations resilient, leading to social, economic, and environmental sustainability.
Evaluating the impact of LIS continuing professional development programmes: a survey of university libraries in Northern India
Authors: Rehman Ikhlaq ur , Ganaie Shabir Ahmad 
Published: July 2024

PurposeThe study examined the comprehensive assessment of the efficacy of Library and Information Science (LIS) CPD programmes in the particular setting of Indian academic libraries in Northern India. The study systematically assessed the programmes' impact on four levels: behaviour, reaction, learning, and results, using Donald Kirkpatrick’s widely recognised evaluation model.Design/methodology/approachThe research employed a census sampling method and a questionnaire to gather information from 177 respondents employed in university libraries.FindingsThe findings demonstrated that professionals were satisfied with the CPD programmes, eager to learn more and apply their newly acquired knowledge and skills at their workplaces, and interested in applying learning to get results. Moreover, the significant factors that hindered the implementation of learning in the workplace were a lack of management support and poor IT infrastructure.Originality/valueThe paper’s uniqueness and significance come from carefully examining the effects of CPD programmes in LIS within the particular setting of university libraries in Northern India.
Ownership share in cross-border acquisitions: does high-tech status of the target matter?
Authors: Faifman Leon , Ro Sangbum , Ellis Kimberly M. , Golden Peggy 
Published: July 2024

Purpose
The purpose of this study is to investigate the influence of the target firm’s high-tech status on the share of ownership decision in cross-border acquisitions (CBAs), which is an under-explored topic in cross-border M&A literature.

Design/methodology/approach
The authors used Tobit regression and tested the hypotheses using a sample of 7,011 CBA transactions between 1999 and 2014. Inverse Mills ratio was used to address selection bias, and various robustness tests were performed.

Findings
The authors found that acquirers seek greater ownership share when acquiring high-tech firms, and that this relationship is moderated by various firm and national level factors. Specifically, the positive relationship between the high-tech status of a target firm and ownership share acquired is stronger when the firms’ primary operations are highly related or there is high formal institutional distance between the firms’ home countries, but it is weaker when acquirers have more prior M&A experience or there is high cultural and geographic distance between the firms’ home countries.

Originality/value
While the topic of ownership strategy in CBAs is advancing, it is still limited, especially when examining acquisitions of high-tech target firms. The authors contribute to the research on CBAs and ownership strategy by focusing on the high-tech status of the target firm, and using a sample of both private and public target firms from 116 countries.
The role of gained trust: effects on intrinsic motivation, person-job fit and turnover intentions among real estate brokers
Authors: Ahlenius Martin , Berggren Björn , Kågström Jonas , Åge Lars-Johan 
Published: July 2024

PurposeThe purpose of this paper is to analyze if gained trust is intrinsically motivating and whether it is correlated to subjective person-job fit and occupational turnover intentions among Swedish real estate brokers.Design/methodology/approachThe empirical data was gathered via a survey targeting all real estate brokers in Sweden and analyzed using structural equation modeling.FindingsThe results indicated that brokers are motivated by gained trust from their sellers and that gained trust is a vital part of person-job fit among brokers. In addition, the results show that higher levels of person-job fit reduce the occupational turnover intentions among brokers.Research limitations/implicationsBeing a real estate broker in Sweden might differ from being a broker in many other otherwise comparable countries. Another limitation is the lack of measurements of job satisfaction and/or intrinsic motivation connected to other job characteristics besides customer relations and gained trust. The high mean values of person-job fit, and intrinsic motivation connected to gained trust from customers are contributing to a more nuanced description of brokerage.Practical implicationsThis study gives insights about intrinsic motivation and its connection to person-job fit. Awareness of what drives brokes can be used by both workers and managers to reduce occupational turnover.Originality/valueThis study is interesting from a person-job fit theory advancement perspective since the focus is given to the connection between specific situational work characteristics and person-job fit.
Commentary on “The effects of changing the classroom play environment on the peer interactions of autistic children with an intellectual disability”
Authors: Phillips Jisan 
Published: July 2024

Purpose
This paper aims to explore the challenges and themes discussed in the associated article “The Effects of Changing the Classroom Play Environment on the Peer Interactions of Autistic Children with an Intellectual Disability.” It expands on the research's context, foundation and potential impact, critically analysing the evidence on this topic.

Design/methodology/approach
This commentary evaluates the perceptions and effectiveness of different classroom play environments for autistic children with intellectual disabilities, using a multiple treatment reversal design (ABACADA) to investigate how various play conditions impact prosocial behaviours.

Findings
The inclusion of toys related to preferred interests, such as anthropomorphic toys and small animals, promotes engagement and social interactions. The commentary highlights common barriers, but the study’s results are encouraging. Further investigation could benefit clinicians and educators in optimising classroom setups for applied practice. Potential solutions to barriers are considered.

Originality/value
The value and design of classroom play environments for autistic children with intellectual disabilities remain debated. This commentary provides a balanced, evidence-based perspective on how specific stimuli can enhance prosocial behaviours, contributing to ongoing discussions on inclusive and supportive educational practices.
Exploring visitors' motivations and perspectives on festival tourism in Northern Cyprus: economic, cultural and social dimensions in a post-pandemic era
Authors: Altun Ozlem , Kiraz Sıla , Saydam Mehmet Bahri 
Published: July 2024

PurposeThis research aims to investigate the motivations and perspectives of festival tourism in Northern Cyprus, emphasizing its economic, cultural, and social impacts in the post-pandemic era.Design/methodology/approachA qualitative approach was used to find out themes from semi-structured face-to-face interviews with twenty visitors who attended various festivals in North Cyprus.FindingsThe results of this research uncover that festivals considerably contribute to the local economy by attracting tourists, which boosts sales for local businesses and promotes traditional Cypriot cuisine. Additionally, festivals play a crucial role in preserving and promoting cultural heritage through traditional music, dance, and crafts, fostering community engagement and cultural exchange. The study also identifies key challenges and opportunities, such as the need for improved marketing strategies, enhanced infrastructure, and sustainable practices to mitigate environmental impacts.Originality/valueThis study provides a comprehensive analysis of festival tourism in Northern Cyprus, offering novel insights into its economic, cultural, and social impacts while proposing innovative strategies to enhance its post-pandemic recovery and sustainability.
Using net anthropogenic nutrient inputs at fine spatial scales benefits decision‐making in watersheds to protect water quality
Authors: Shousha Stéphanie , Maranger Roxane 
Published: July 2024

Abstract

Excessive nutrient loadings from various human activities on land to inland and coastal waters result in water quality degradation through cultural eutrophication. Accurately identifying and quantifying the main nitrogen and phosphorus sources on land is essential to implement proper intervention strategies to reduce loadings in order to preserve water quality for the long term.

The Net Anthropogenic Nitrogen/Phosphorus Inputs (NANI/NAPI) mass balance approach has successfully been used to quantify nutrients added on land to sustain human activities and predict the fraction exported to water. However, the rich detail of information used to generate the mass balance is typically merged and upscaled to whole watersheds, averaging out highly heterogeneous patterns on land, which would be key to identify regions that disproportionately load nutrients to receiving waters.

Here we present NANI and NAPI at increasingly finer scales (watershed, county, and municipal) in eight catchments of the Saint‐Lawrence Basin in Québec, Canada, and compare input changes between two different decades (1981 and 2021).

In 2021, NANI ranged from 828 to 6602 kg km−2 at the watershed scale whereas the range at the municipal one was much greater from near 0 to 27,413 kg km−2, highlighting the importance of using the municipal scale to pinpoint specific regions of high inputs. We then show how partitioning individual NANI components (the same could be done for NAPI) could reveal the dominant input type among urbanisation, crop‐intensive, or livestock‐intensive agriculture, which can help decision makers choose the most effective intervention strategy based on dominant input type. Finally, we discuss how information derived over time can further be used to enhance understanding around mitigation strategies.

Policy implications. The use of the detailed components of NANI and NAPI at the finest scale possible provides relevant quantitative information and acts as an effective communication tool between scientists and decision makers. We suggest that the use of this approach can better enable targeted nutrient reduction strategies based on scientific evidence to protect water quality.
Dynamic testing of learning potential of children with moderate to severe intellectual disabilities: A Delphi study
Authors: Eding M. L. , Meeter M. , Schuengel C. 
Published: July 2024

AbstractEducation of children with moderate to severe intellectual disabilities requires adequate assessment of their educational needs and potential to learn. Dynamic testing using analogical reasoning tasks may be a promising way to perform such an assessment. However, it remains unclear how dynamic testing with these children may be done in practice. Therefore, we sought expert opinions on operationalizing learning potential and dynamic testing. We performed a three‐round online Delphi study (N = 37) with experts in psychological educational assessment of children with moderate to severe intellectual disabilities in special schools and specialized day‐care centres in the Netherlands. Consensus was found on a conceptual and an operational definition of learning potential, describing step‐by‐step how learning potential could be measured in daily practice. This included a pre‐test, training, post‐test design with the inclusion of a graduated prompts protocol for mediation and an observation checklist focussing on response to mediation. Based on examples from the Analogical Reasoning Learning Test, we assessed consensus on adapted design requirements for dynamic testing using analogical reasoning. Experts agreed that dynamic testing using analogical reasoning tasks might be suitable for children with moderate intellectual disabilities. A key concern was whether performance on analogical reasoning task was within reach of children with severe intellectual disabilities. The panel recommended research into the type of mediation needed to support the learning of analogical reasoning tasks. Further development and evaluation of dynamic testing for children with moderate to severe intellectual disabilities may build on the recommendations of this panel of experts.
Medical training program size and clinical staff productivity and turnover
Authors: Tenso Kertu , Li Yufei , Legler Aaron , Sadej Izabela , Kabdiyeva Aigerim , Garrido Melissa M. , Pizer Steven D. 
Published: July 2024

AbstractObjectiveThe objective of this analysis was to evaluate the effect of resident program training size on clinician productivity and turnover in the Veterans Health Administration (VHA), the largest education and training platform for medical professionals in the United States.Data SourcesWe retrieved administrative data on training programs and training facilities from the VA Office of Academic Affiliations and the VHA Corporate Data Warehouse. Data on primary care physician shortage areas were retrieved from the Health Resources and Services Administration.Study DesignWe used a quasi‐experimental instrumental variables 2SLS design and constructed an exogenous predicted training allocation treatment variable as a function of the total national training program allocation. The outcome was clinical staff productivity and turnover. Secondary analyses stratified results using Health Professional Shortage Areas data (HPSA).Data Collection/Extraction MethodsData were obtained for a national dataset of 141 VHA medical facilities and 26 specialties that hosted training programs across 11 years from 2011 to 2021 (N = 132,177).Principal FindingsInstrumental variables results showed that on average, an increase of one training slot in a specialty leads to a decrease of 0.039 visits per standardized clinic day (p < 0.001) and a 0.02 percentage point increase in turnover (p < 0.001). The direction of this association varied by specialty: while psychiatry and psychology specialties saw a decline in productivity, fields such as primary care and cardiology experienced an increase in productivity. HPSA stratified results indicate that negative effects on productivity and turnover are driven by areas with little to no primary care physician shortage, whereas shortage areas experienced a small increase in productivity and no effect on turnover.ConclusionsThis quasi‐experimental evaluation indicates that resident training program size is associated with reduced productivity and increased turnover in specialties such as psychiatry and in facilities with high baseline productivity. However, in specialties like primary care and cardiology, as well as areas with shortages of primary care, larger training programs are associated with increased productivity.