bluuebunny/crossref_metadata_2025_split huggingface dataset:
Toward a metadata model for research information management systems
Authors: Lee Dong Joon , Stvilia Besiki , Wu Shuheng 
Published: June 2018

Purpose
The purpose of this paper is to examine the relationships between researcher characteristics and their use of metadata in their ResearchGate profiles.

Design/methodology/approach
This paper reports on one part of a larger study that examined researchers’ use of and engagement with research information management systems (RIMSs). The study’s design included qualitative, semi-structured interviews with 15 researchers and a survey completed by 412 researchers. Detailed reports of findings from the interviews and survey can be found elsewhere. This paper reports on the part of the study that analyzed the use of metadata elements in the ResearchGate profiles of 126 survey participants.

Findings
Most researchers shared metadata related to their research rather than their teaching or service. Statistical analyses revealed statistically significant relationships between researchers’ metadata use and their participation levels in RIMSs, as well as between metadata use and researchers’ seniority.

Originality/value
The study’s findings help to identify researchers’ priorities for different metadata elements, as well as to construct profile metadata templates for each specific participation level.
Transportation systems’ impacts on the Vilnius housing market
Authors: Vasiliene-Vasiliauskiene Virgilija , Vasilis Vasiliauskas Aidas , Golembovskij Rišard , Meidute-Kavaliauskiene Ieva , Kazimieras Zavadskas Edmundas , Banaitis Audrius , Govindan Kannan 
Published: June 2018

Purpose
The purpose of this paper is to develop a better understanding of how transportation system factors affect city housing markets. The goal was to show that identifying these factors alone is not enough without also examining their effects and variations according to the housing location.

Design/methodology/approach
Transportation system factors were identified by conducting a thorough literature review. The factors’ relevance was tested using a quantitative methodology and a sample of 317 Vilnius residents. This city was next divided into three zones, and data collected from 18 real estate experts was subjected to qualitative analysis. The analytic hierarchy process was then applied to identify transportation system factors’ level of impact and dynamics by the housing location.

Findings
The results show that the factors affect the housing market in question but that these effects vary by the housing location and the most critical factors differ for each city zone.

Research limitations/implications
Only data on Vilnius were used. Further research is needed to compare transportation factors’ dynamics in multiple cities.

Practical implications
Priorities in transportation system improvements should be assessed to facilitate sustainable urban development and enhance the residents’ quality of life. Housing market regulations can only be successful if investment in transportation systems is allocated purposefully and coherently.

Originality/value
This research went beyond identifying transportation system factors by employing a broad, systematic approach to clarifying potential options for regulating housing markets through transportation system projects.
A Machiavellian behavioural framing of social conflict risks in supply chains
Authors: Marshall Alasdair , Bashir Hamdi , Ojiako Udechukwu , Chipulu Maxwell 
Published: June 2018

Purpose
This conceptual paper aims to explore how supply chain managers deal with social threats to supply chains, in the process of demonstrating the potency of a largely neglected strand of realist social theory. This theory, as posited, sheds a great deal of light on the behavioural reality of how supply chain managers operate within the social aspects of their risk environments.

Design/methodology/approach
The paper is presented as a narrative synthesis of classical realist sociological literature.

Findings
The Machiavellian approach provides a template that can be used to help academics and practitioners understand how and why supply chain managers orient themselves to the social threats they confront in very different ways. The theory’s contention that the behavioural reality can be subdivided between two basic patterns allows it to serve as a constructively simple template for becoming attuned to ways in which supply chain managers socially construct and act within their social threat environments.

Research limitations/implications
The growing social complexity of supply chains gives behavioural responses a complexity reduction function. The authors theorise that such patterns, once activated, may not necessarily adapt rationally as guides to optimise the chance of success against the full range of social threats they are likely to encounter.

Originality/value
Cross-disciplinary supply chain management research is increasingly drawing upon sociology and behavioural science to facilitate greater understanding of not only the supply chain environment but also the roles of supply chain managers as relationship influencers and managers of conflict. The authors posit that Machiavellian–realist social theory can contribute to supply chain management scholarship by offering a constructively simple approach to evaluate the behavioural realities associated with social threats.
Export composition and economic growth: evidence from South Asian countries
Authors: Munir Kashif , Javed Zanib 
Published: June 2018

Purpose
The purpose of this paper is to analyze the impact of export composition (diversification or specialization) on economic growth of South Asian countries, while export diversification is further categorized into horizontal and vertical export diversification.

Design/methodology/approach
The study uses Cobb-Douglas production function, in which export is augmented in the production function. To analyze the non-linear relationship (inverted U- or U-shape) with economic growth, square term of exports Herfindahl index, horizontal, and vertical export diversification are introduced in the model. Panel data of four countries of South Asia, i.e. Bangladesh, India, Pakistan and Sri Lanka is utilized from 1990 to 2013 at annual frequency under fixed effect model.

Findings
Exports Herfindahl index represented inverted U-shape relationship with economic growth. An increase in export diversification lead to higher economic growth initially, however, after the threshold level, export specialization have positive impact on economic growth. Horizontal export diversification is not beneficial for economic growth initially, however, after the threshold level, introducing new sector increases economic growth in South Asian countries. Vertical export diversification has insignificant and U-shaped relationship with economic growth.

Practical implications
Education and skill formation are essential components for creativity and innovation, therefore attention must be paid toward labor training and education. Government must encourage the exporters to increase diversification in their export portfolio as well as provide incentives and technical assistance for research and development in the manufacturing sector.

Originality/value
This study contributes by analyzing the non-linear relationship between export composition, i.e. diversification (horizontal and vertical) or specialization and economic growth in South Asian countries. The study is useful to boost the potential level of exports on sustainable economic growth of South Asian countries. This study provides the essential evidence, information and better understanding to key stakeholders of exports.
Supply chain quality integration: relational antecedents and operational consequences
Authors: Yu Yubing , Huo Baofeng 
Published: June 2018

PurposeThis paper aims to examine the impacts of relational capital on supply chain quality integration (SCQI) and operational performance from the holistic perspective of the entire supply chain.Design/methodology/approachStructural equation modeling with LISREL was used to test the conceptual model based on data collected from 308 companies in China.FindingsThe results indicate that with the exception of internal relational capital not having a significant impact on customer quality integration, supplier, internal and customer relational capital have positive impacts on supplier, internal and customer quality integration, which consequently improve operational performance. The results also show that internal relational capital has positive impacts on supplier and customer relational capital, and internal quality integration has positive impacts on supplier and customer quality integration.Practical implicationsThe results provide important managerial insights for the improvement of operational performance through the development of relational capital and the implementation of SCQI practices throughout the supply chain.Originality/valueThe authors contribute to the relational capital and supply chain quality management literature by exploring the effectiveness of relational capital in improving SCQI and operational performance from the holistic perspective of the entire supply chain. The findings enrich the knowledge of SCQI management from the perspective of relational capital.
Seasonal variation in urban tourist satisfaction
Authors: Soldić Frleta Daniela , Smolčić Jurdana Dora 
Published: June 2018

PurposeThe purpose of this study is to detect the differences in satisfaction levels with regard to different elements of the city tourism offering during the season and off-season. Furthermore, the aim is to find out what factors determine the satisfaction of season and off-season tourists.Design/methodology/approachThis paper is based on the results of a survey conducted during 2016 in Opatija and Rijeka (Croatia). The analyses were conducted on a sample of 1,249 respondents. Data analysis included principal component analyses, ANOVA and series of regression analyses.FindingsResults confirmed that there is a significant difference in overall satisfaction, as well as in all five satisfaction dimensions, between tourists visiting the cities during the season and those visiting in the pre- and post-season. In addition, simple regression analyses revealed that tourists staying in those cities during the peak season expressed a statistically significant higher level of satisfaction than those visiting in the pre- and post-season. However, no statistically significant difference was found in overall satisfaction and in four out of five satisfaction dimensions, between pre- and post-season tourists.Practical implicationsThe findings have relevant implications for destination managers in their further decisions aimed at developing a more satisfactory tourism offering in the season and off-season.Originality/valueThe main contribution of this paper lies in the connection between tourist satisfaction and the season of their visit, as previous studies have rarely considered the season when analysing tourist satisfaction with the destination offering.
Evolution of increased intraspecific competitive ability following introduction: The importance of relatedness among genotypes
Authors: Zhang Zhijie , Zhou Fang , Pan Xiaoyun , van Kleunen Mark , Liu Mu , Li Bo 
Published: June 2018

Abstract

A long‐standing explanation for invasion success is that invasive plants could evolve to be more competitive following introduction. This evolution of increased competitive ability (EICA) hypothesis, however, has seldom been tested with regard to intraspecific competition. Given that plants can display different responses to related and unrelated conspecifics, the evolution of intraspecific competitive ability might be specific to genotypes of different relatedness.

Here, we grew five native (South American) and five introduced (North American) genotypes of the clonal herbaceous invasive plant Alternanthera philoxeroides alone, with above‐ground competition from kin (the same genotype) or from one of two types of strangers (another genotype from the same range or another genotype from the other range).

When grown alone, introduced and native genotypes produced similar total biomass and storage‐root biomass. However, in response to intraspecific competition, introduced genotypes showed increases in total biomass and stem length, and a decrease in specific stem length, whereas native genotypes showed the opposite pattern. When grown with kin instead of strangers, introduced genotypes showed an increase in branch number, whereas native genotypes showed the opposite.

Synthesis. Our study provided evidence for evolution of increased intraspecific competitive ability in an invasive plant. We also found, for the first time, that the interactions among kin were likely to shift from competition towards facilitation following introduction.
Inference with Dependent Data in Accounting and Finance Applications
Authors: CONLEY TIMOTHY , GONÇALVES SILVIA , HANSEN CHRISTIAN 
Published: June 2018

ABSTRACTWe review developments in conducting inference for model parameters in the presence of intertemporal and cross‐sectional dependence with an emphasis on panel data applications. We review the use of heteroskedasticity and autocorrelation consistent (HAC) standard error estimators, which include the standard clustered and multiway clustered estimators, and discuss alternative sample‐splitting inference procedures, such as the Fama–Macbeth procedure, within this context. We outline pros and cons of the different procedures. We then illustrate the properties of the discussed procedures within a simulation experiment designed to mimic the type of firm‐level panel data that might be encountered in accounting and finance applications. Our conclusion, based on theoretical properties and simulation performance, is that sample‐splitting procedures with suitably chosen splits are the most likely to deliver robust inferential statements with approximately correct coverage properties in the types of large, heterogeneous panels many researchers are likely to face.
Spatial optimisation of fire service coverage: a case study of Brisbane, Australia
Authors: KC Kiran , Corcoran Jonathan , Chhetri Prem 
Published: June 2018

AbstractIn the context of changing demand for fire services, spatial optimisation of fire coverage has attracted little scholarly attention despite its potential to improve emergency response and to inform future service planning for fire stations. Drawing on small area population forecasts, this paper extends the application of the Maximum Coverage Location Model to compute and delineate the spatial coverage of current and proposed new fire stations to align with population growth estimates for Brisbane, Australia. Our results reveal important gaps in fire cover that are likely to emerge as a result of predicted population growth, the spatial patterns of which varies across the Brisbane metropolitan area. We draw on these results to delineate a series of new potential sites for fire stations to ameliorate the reduction in spatial coverage as a consequence of predicted population growth demonstrating the utility of our analytic approach for decision‐making and operational planning in the fire services.
A CyberGIS Integration and Computation Framework for High‐Resolution Continental‐Scale Flood Inundation Mapping
Authors: Liu Yan Y. , Maidment David R. , Tarboton David G. , Zheng Xing , Wang Shaowen 
Published: June 2018

AbstractWe present a Digital Elevation Model‐based hydrologic analysis methodology for continental flood inundation mapping (CFIM), implemented as a cyberGIS scientific workflow in which a 1/3rd arc‐second (10 m) height above nearest drainage (HAND) raster data for the conterminous United States (CONUS) was computed and employed for subsequent inundation mapping. A cyberGIS framework was developed to enable spatiotemporal integration and scalable computing of the entire inundation mapping process on a hybrid supercomputing architecture. The first 1/3rd arc‐second CONUS HAND raster dataset was computed in 1.5 days on the cyberGIS Resourcing Open Geospatial Education and Research supercomputer. The inundation mapping process developed in our exploratory study couples HAND with National Water Model forecast data to enable near real‐time inundation forecasts for CONUS. The computational performance of HAND and the inundation mapping process were profiled to gain insights into the computational characteristics in high‐performance parallel computing scenarios. The establishment of the CFIM computational framework has broad and significant research implications that may lead to further development and improvement of flood inundation mapping methodologies.
River Channel Geometry and Rating Curve Estimation Using Height above the Nearest Drainage
Authors: Zheng Xing , Tarboton David G. , Maidment David R. , Liu Yan Y. , Passalacqua Paola 
Published: June 2018

AbstractRiver channel geometry is an important input to hydraulic and hydrologic models. Traditional approaches to quantify river geometry have involved surveyed river cross sections, which cannot be extended to ungaged basins. In this paper, we describe a method for developing a synthetic rating curve to relate flow to water level in a stream reach based on reach‐averaged channel geometry properties developed using the Height above Nearest Drainage (HAND) method. HAND uses a digital elevation model (DEM) of the terrain and computes the elevation difference between each land surface cell and the stream bed cell to which it drains. Taking increments in water level in the stream, HAND defines the inundation zone and a water depth grid within this zone, and the channel characteristics are defined from this water depth grid. We apply our method to the Blanco River (Texas) and the Tar River (North Carolina) using 10‐m terrain data from the United States Geological Survey (USGS) 3D Elevation Program (3DEP) dataset. We evaluate the method's performance by comparing the reach‐average stage‐river geometry relationships and rating curves to those from calibrated Hydrologic Engineering Center's River Analysis System (HEC‐RAS) models and USGS gage observations. The results demonstrate that after some adjustment, the river geometry information and rating curves derived from HAND using national‐coverage datasets are comparable to those obtained from hydraulic models or gage measurements. We evaluate the inundation extent and show our approach is able to capture the majority of the Federal Emergency Management Agency (FEMA) 100‐year floodplain.
Prospective cohort studies of birth weight and risk of obesity, diabetes, and hypertension in adulthood among the Chinese population
Authors: Xia Qinghua , Cai Hui , Xiang Yong‐Bing , Zhou Peng , Li Honglan , Yang Gong , Jiang Yu , Shu Xiao‐Ou , Zheng Wei , Xu Wang‐Hong 
Published: June 2018

AbstractBackgroundLow birth weight (LBW) has been associated with subsequent risks of obesity and certain chronic diseases, but evidence for the associations is limited for the Chinese population.MethodsIn this study we analyzed data from two population‐based prospective cohort studies, the Shanghai Women's Health Study and the Shanghai Men's Health Study, to examine the associations between LBW and the risk of obesity and chronic diseases. Birth weight was self‐reported at baseline; anthropometric measurements were made at study enrollment. Type 2 diabetes mellitus (T2DM) diagnoses were self‐reported, whereas hypertension diagnoses were based on self‐report and blood pressure measurements at baseline and follow‐up surveys.ResultsBirth weight was available for 11 515 men and 13 569 women. Non‐linear associations were observed for birth weight with baseline body mass index (BMI), waist circumference (WC), waist:  hip ratio (WHR), and waist:  height ratio (WHtR; P < 0.05 for non‐linearity), and LBW was linked with lower BMI, smaller WC, and larger WHR and WHtR. An excess risk of T2DM was observed for LBW (<2500 g) versus birth weight 2500–3499 g since baseline (hazard ratio [HR] 1.17; 95% confidence interval [CI] 0.92–1.49) and since birth (HR 1.29; 95% CI 1.07–1.54), whereas the HRs for hypertension since baseline and birth were 1.13 (95% CI 1.01–1.27) and 1.20 (95% CI 1.11–1.30), respectively. The risk of the diseases decreased as birth weight increased up to ~4000 g; further increases in birth weight did not convey additional benefits.ConclusionThe results suggest that LBW, an index of poor intrauterine nutrition, may affect health risks later in life in the Chinese population.
Do Investors Respond to Explanatory Language Included in Unqualified Audit Reports?
Authors: Czerney Keith , Schmidt Jaime J. , Thompson Anne M. 
Published: June 2018

ABSTRACTThis article investigates whether investors respond to explanatory language (EL) added to unqualified audit reports. Although prior research finds an association between auditor EL and lower financial reporting quality, surveys suggest that many investors limit their attention to the unqualified nature of the opinion. We use three‐day abnormal returns and abnormal trading volume to measure investor response to EL in unqualified audit reports issued from 2000 to 2014. We find little evidence to indicate that investors respond to auditor EL at the audit report release date. In further analyses, we find that the lack of investor response is attributable both to incomplete investor reactions (55 percent of EL occurrences) and previous incorporation of EL (40 percent of EL occurrences). Overall, the results support policymakers’ initiatives to improve the usefulness of unqualified audit reports.
Intensity of Daily Drinking and Its Relation to Alcohol Use Disorders
Authors: Vergés Alvaro , Ellingson Jarrod M. , Schroder Stephanie A. , Slutske Wendy S. , Sher Kenneth J. 
Published: June 2018

BackgroundDaily drinking is an important public health concern and informative for evaluating diagnostic classification. In particular, daily binge drinkers might be considered as the prototype of some forms of alcoholism, as this drinking pattern may drive many alcohol use disorder (AUD) symptoms. However, daily drinking potentially captures a wide range of drinkers, including light–moderate daily drinkers who exhibit presumed control over their drinking behavior and might benefit from salutary effects on health. This study examined the heterogeneity of daily drinkers in detail.MethodsData from the 2 waves of the National Epidemiologic Survey on Alcohol and Related Conditions were used. Participants who reported drinking “every day” during the last 12 months were classified as daily drinkers. A series of regression and logistic regression analyses were conducted to investigate the association between daily drinking and various outcomes.ResultsDaily drinkers were found to vary considerably from each other with respect to diagnostic status, level of consumption, demographic composition, and a range of drinking and health correlates. Further, a substantial number of daily binge drinkers were not diagnosed with AUD under the DSM‐IV or DSM‐5, although in most groups, the DSM‐5 criteria diagnosed a larger percentage of participants.ConclusionsDaily drinkers represent a highly heterogeneous group, and the correlates of daily drinking depend on the usual quantity of daily drinks and the frequency of alcohol‐related problems in a given sample. Moreover, AUD, defined both according to DSM‐IV and DSM‐5, did not capture more than 68% of daily binge drinkers. Given that daily binge drinking is an extremely high threshold for use, this finding may present a challenge for our current classification system.