bluuebunny/crossref_metadata_2025_split huggingface dataset:
“The totality of caring”
Authors: Kovács Borbála 
Published: September 2015

Purpose– The purpose of this paper is to formulate a conceptually and empirically grounded new understanding of childcare arrangements for cross-national and longitudinal micro-level empirical research by drawing on theoretical discussions about the social, spatial and temporal dimensions of embodied childcare and empirical data in the form of parental narratives from a Romanian qualitative study.Design/methodology/approach– The paper builds on a critique of an extensive body of empirical literature on the micro-level organisation of childcare and the thematic analysis of in-depth interviews with Romanian parents. The paper combines a critical literature review with findings from a qualitative study on childcare.Findings– The paper formulates a new understanding of household-level childcare arrangements that is context-insensitive, yet reflects the social, spatial and temporal concerns that the organisation of embodied childcare often raises. The paper expands on six real-life care arrangements in Romanian households represented as different combinations of care encounters.Research limitations/implications– As the paper draws on parental narratives from a single country, Romania, the mapping of childcare arrangements in other jurisdictions and/or at different times would strengthen the case for the proposed understanding of care arrangements as a valuable tool to represent, compareand contrast household-level care routines.Originality/value– The idea that parents (especially mothers) make work-care decisions in the light of what is best for their child has been widely documented. However, taxonomies of care arrangements have failed to reflect this. The proposed conceptualisation of childcare arrangements addresses this issue by articulating a conceptually coherent approach to developing empirically grounded childcare typologies that “travel well” cross-nationally and over time.
Developing dynamic capabilities in culturally distant service multi-units
Authors: Lee Po-Yen , Kung Chaang-Yung , Li Chun-Sheng Joseph 
Published: September 2015

Purpose– The purpose of this paper is to provide a more robust understanding of the development of dynamic capabilities (DCs) in service multi-units with different cultural distances (CD) (high (HCD) and low (LCD)) through the routines of embedded social capital (structural and relational) and knowledge archetype (exploitative and exploratory) learning.Design/methodology/approach– The authors used survey questionnaires and structural equation modeling to discriminate the relationships among variables.Findings– The authors found that structurally embedded social capital has a positive influence on exploratory knowledge learning in HCD service multi-units; relationally embedded social capital has a positive influence on knowledge archetype (exploitative vs exploratory) learning in both HCD and LCD service multi-units; and knowledge archetype learning has a positive influence on the development of DCs in both HCD and LCD service multi-units.Research limitations/implications– The results identify the central role of social capital (structurally and relationally embedded) in enabling knowledge archetype learning and the development of DCs in service multi-units. In addition, this study provides a description and comparison of how structurally and relationally embedded social capital are key antecedents in knowledge archetype learning and the development of DCs in the context of service multi-units with different HCD and LCD.Originality/value– The results provide a practical trajectory for the development of DCs in multi-units of multinational corporations in the service industry with different HCD and LCD.
The model of HRM-trust-commitment relationships
Authors: Lewicka Dagmara , Krot Katarzyna 
Published: September 2015

Purpose– It is worth focusing on the examination of factors influencing the quality of the work environment. The purpose of this paper is to verify the influence of the HRM system and organisational trust on employee commitment.Design/methodology/approach– The survey was conducted in Poland among 370 employees in organisations from two sectors of the economy: services and industry. The verification of the theoretical model was performed based on structural equation modelling.Findings– Research findings made it possible to successfully verify the model of the relationship between the HRM system (practices, process), organisational trust and commitment. The starting point for trust in an organisation followed by commitment is the HRM system. It seems that the impact of the HRM process on creating organisational trust is higher. Research findings have also confirmed a relationship between each type of organisational trust and calculative commitment based on benefits, which is a strong determinant of affective commitment. Organisational trust is, therefore, an intermediary factor because the organisation must build trust in employees first before they become affectively committed.Originality/value– Current studies have not examined the issue of a mutual relationship between three constructs: perceived HRM practices and process, organisational trust and commitment. What is more, previous research was confined to the constructs analysed holistically without considering their complexity (different types of trust and commitment). In addition, the authors attempted to enrich Allen and Mayer’s (1991) model with a new aspect of the commitment – calculative, which is linked to the benefits received by employees. The authors also identified the mediating influence of the trust and calculative commitment onto the affective commitment.
On the relation between stock prices and exchange rates: a review article
Authors: Bahmani-Oskooee Mohsen , Saha Sujata 
Published: September 2015

Purpose
– While changes in stock prices are said to affect exchange rates, exchange rate changes are also said to affect stock prices. The purpose of this paper is threefold. First, the authors review all empirical literature by dividing them into two groups of univariate and multivariate studies. Second, a table which summarizes the main features of each study is provided to help future researchers to have easy access to summary of each study. Finally, a new direction for future research is proposed. This new direction relies upon non-linear ARDL approach and shows how to investigate symmetric vs asymmetric effects of exchange rate changes on stock prices.

Design/methodology/approach
– The paper reviews existing published work and provides suggestions for future research.

Findings
– The paper reviews existing published work and provides suggestions for future research. An application reveals that exchange rate changes have asymmetric effect on stock prices.

Originality/value
– This is the first review paper on the relation between exchange rates and stock prices.
Determinants of telecommunication stock prices
Authors: Gregoriou Andros , Healy Jerome , Gupta Jairaj 
Published: September 2015

Purpose
– The purpose of this paper is to analyze the determinants affecting the stock prices of telecommunications firms in both developed and developing countries around the world.

Design/methodology/approach
– The empirical analysis is performed using panel data from 160 countries and 45 companies, covering the time period from 2000 to 2011. To identify the significant factors, company level firm-specific financial and non-financial factors have been analyzed that are expected to bear significant impact on price volatility of telecommunications stock.

Findings
– The test results reveal that capital expenditure and book value are the most significant factors. Dividends and debt levels only affect prices significantly in specification tests with either time-series or cross-sectional effects, whereas firms’ earnings and numbers of mobile internet subscribers do not contribute to the explanatory power of telecommunication stock price variability.

Practical implications
– The study sheds light to the potential investors in evaluating the risk associated with investment in stocks of telecommunications firms and take informed investment decisions.

Originality/value
– This is the first study that presents a comprehensive analysis of determinants affecting the stock prices of telecommunications firms in both developed and developing countries around the world.
Research data management and openness
Authors: Higman Rosie , Pinfield Stephen 
Published: September 2015

Purpose– The purpose of this paper is to investigate the relationship between research data management (RDM) and data sharing in the formulation of RDM policies and development of practices in Higher Education Institutions (HEIs).Design/methodology/approach– Two strands of work were undertaken sequentially: first, content analysis of 37 RDM policies from UK HEIs; and second, two detailed case studies of institutions with different approaches to RDM based on semi-structured interviews with staff involved in the development of RDM policy and services. The data are interpreted using insights from Actor Network Theory.Findings– RDM policy formation and service development has created a complex set of networks within and beyond institutions involving different professional groups with widely varying priorities shaping activities. Data sharing is considered an important activity in the policies and services of HEIs studied, but its prominence can in most cases be attributed to the positions adopted by large research funders.Research limitations/implications– The case studies, as research based on qualitative data, cannot be assumed to be universally applicable but do illustrate a variety of issues and challenges experienced more generally, particularly in the UK.Practical implications– The research may help to inform development of policy and practice in RDM in HEIs and funder organisations.Originality/value– This paper makes an early contribution to the RDM literature on the specific topic of the relationship between RDM policy and services, and openness – a topic which to date has received limited attention.
Asymmetric cointegration and causality effects between financial development and economic growth in South Africa
Authors: Phiri Andrew 
Published: September 2015

Purpose– The purpose of this paper is to investigate asymmetric cointegration and causality effects between financial development and economic growth for South African data spanning over the period of 1992-2013.Design/methodology/approach– This study makes the use of the momentum threshold autoregressive (M-TAR) approach which allows for threshold error-correction (TEC) modeling and Granger causality analysis between the variables. In carrying out an empirical analysis, the author uses six measures of the financial development variables against gross domestic per capita, that is, three measures which proxy banking activity and another three proxies for stock market development.Findings– The empirical results generally indicate an abrupt asymmetric cointegration relationship between banking activity and economic growth, on the one hand, and a smooth cointegration relationship between stock market activity and economic growth, on the other hand. Moreover, causality analysis generally reveals that while banking activity tends to Granger cause economic growth, stock market activity is, however, caused by economic growth increase.Originality/value– This study contributes to the literature by examining asymmetries in the cointegration and causality relations by using both banking and stock market proxies against economic growth for the South African economy.
Design of a low‐density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy
Authors: Bolormaa S. , Gore K. , van der Werf J. H. J. , Hayes B. J. , Daetwyler H. D. 
Published: September 2015

SummaryGenotyping sheep for genome‐wide SNPs at lower density and imputing to a higher density would enable cost‐effective implementation of genomic selection, provided imputation was accurate enough. Here, we describe the design of a low‐density (12k) SNP chip and evaluate the accuracy of imputation from the 12k SNP genotypes to 50k SNP genotypes in the major Australian sheep breeds. In addition, the impact of imperfect imputation on genomic predictions was evaluated by comparing the accuracy of genomic predictions for 15 novel meat traits including carcass and meat quality and omega fatty acid traits in sheep, from 12k SNP genotypes, imputed 50k SNP genotypes and real 50k SNP genotypes. The 12k chip design included 12 223 SNPs with a high minor allele frequency that were selected with intermarker spacing of 50–475 kb. SNPs for parentage and horned or polled tests also were represented. Chromosome ends were enriched with SNPs to reduce edge effects on imputation. The imputation performance of the 12k SNP chip was evaluated using 50k SNP genotypes of 4642 animals from six breeds in three different scenarios: (1) within breed, (2) single breed from multibreed reference and (3) multibreed from a single‐breed reference. The highest imputation accuracies were found with scenario 2, whereas scenario 3 was the worst, as expected. Using scenario 2, the average imputation accuracy in Border Leicester, Polled Dorset, Merino, White Suffolk and crosses was 0.95, 0.95, 0.92, 0.91 and 0.93 respectively. Imputation scenario 2 was used to impute 50k genotypes for 10 396 animals with novel meat trait phenotypes to compare genomic prediction accuracy using genomic best linear unbiased prediction (GBLUP) with real and imputed 50k genotypes. The weighted mean imputation accuracy achieved was 0.92. The average accuracy of genomic estimated breeding values (GEBVs) based on only 12k data was 0.08 across traits and breeds, but accuracies varied widely. The mean GBLUP accuracies with imputed 50k data more than doubled to 0.21. Accuracies of genomic prediction were very similar for imputed and real 50k genotypes. There was no apparent impact on accuracy of GEBVs as a result of using imputed rather than real 50k genotypes, provided imputation accuracy was >90%.
Effect of breastfeeding promotion interventions on child growth: a systematic review and meta‐analysis
Authors: Giugliani Elsa R.J. , Horta Bernardo L. , Loret de Mola Christian , Lisboa Bernardo O. , Victora Cesar G. 
Published: September 2015

AbstractAimTo update a previous systematic review and meta‐analyses about the effect of breastfeeding promotion interventions on child growth.MethodsStudies evaluating the effect of any type of breastfeeding promotion intervention on child weight, length (or height) and weight/height (or BMI) were screened. Papers published between 2006 and 2014 were checked using the following databases: PubMed/MEDLINE, Embase, Cochrane Database of Systematic Reviews, Lilacs and SciELO.ResultsSixteen studies were added to 19 other studies identified in the previous review, resulting in 35 studies. Meta‐analyses of studies reporting on mean weight, length, weight/length or BMI showed that the interventions had no impact on weight or length/height z scores [pooled effect: 0.03 (95% confidence interval: −0.06;0.12) and 0.03 (95% confidence interval: −0.02;0.08), respectively] and had a modest, but significant, reduction in body mass index/weight‐for‐height z scores [z score mean difference: −0.06 (95% confidence interval: −0.12;0.00)], which was limited to studies from low‐ and high‐incomes settings. For all three outcomes, there was important heterogeneity among studies, which should be taken into account when interpreting the results.ConclusionBreastfeeding promotion interventions were not associated with significant changes in weight or length, but led to a modest, albeit significant, reduction in body mass index/weight‐for‐height z scores.
Hydrogen peroxide activates store‐operated Ca2+ entry in coronary arteries
Authors: Santiago Elvira , Climent Belén , Muñoz Mercedes , García‐Sacristán Albino , Rivera Luis , Prieto Dolores 
Published: September 2015

AbstractBackground and PurposeAbnormal Ca2+ metabolism has been involved in the pathogenesis of vascular dysfunction associated with oxidative stress. Here, we have investigated the actions of H2O2 on store‐operated Ca2+ (SOC) entry in coronary arteries and assessed whether it is impaired in arteries from a rat model of metabolic syndrome.Experimental ApproachSimultaneous measurements of intracellular Ca2+ concentration and contractile responses were made in coronary arteries from Wistar and obese Zucker rats, mounted in microvascular myographs, and the effects of H2O2 were assessed.Key ResultsH2O2 raised intracellular Ca2+ concentrations, accompanied by simultaneous vasoconstriction that was markedly reduced in a Ca2+‐free medium. Upon Ca2+ re‐addition, a nifedipine‐resistant sustained Ca2+ entry, not coupled to contraction, was obtained in endothelium‐denuded coronary arteries. The effect of H2O2 on this voltage‐independent Ca2+ influx was concentration‐dependent, and high micromolar H2O2 concentrations were inhibitory and reduced SOC entry evoked by inhibition of the sarcoplasmic reticulum ATPase (SERCA). H2O2‐induced increases in Fura signals were mimicked by Ba2+ and reduced by heparin, Gd3+ ions and by Pyr6, a selective inhibitor of the Orai1‐mediated Ca2+ entry,. In coronary arteries from obese Zucker rats, intracellular Ca2+ mobilization and SOC entry activated by acute exposure to H2O2 were augmented and associated with local oxidative stress.Conclusion and ImplicationsH2O2 exerted dual concentration‐dependent stimulatory/inhibitory effects on store‐operated, IP3 receptor‐mediated and Orai1‐mediated Ca2+ entry, not coupled to vasoconstriction in coronary vascular smooth muscle. SOC entry activated by H2O2 was enhanced and associated with vascular oxidative stress in coronary arteries in metabolic syndrome.
Does Tree Species Composition Affect Productivity in a Tropical Planted Forest?
Authors: Salisbury Claire L. , Potvin Catherine 
Published: September 2015

AbstractWith growing pressure on primary forests from destructive land uses, increasing the diversity of native species plantations can increase ecosystem service provision, such as timber production or carbon sequestration, thus better supporting sustainable livelihoods. Understanding the effects of tree species composition on productivity can inform plantation design and ecological restoration strategies. However, tree species composition effects have been neglected in experimental biodiversity‐ecosystem function (BEF) research. This study uses a 10‐yr data set from one of the first tropical planted forest experiments established with native species and designed forBEFresearch at scales relevant to forest management. At our site in Sardinilla, Panama, we established plots containing 6 species from a pool of 18, in four combinations, to investigate how composition affects species and plot productivity. We used basal area as a proxy for productivity through time, measured annually, and summed this at species and plot levels for analysis. We found that plots that differed in species composition appeared to differ in temporal rate of basal area increase, but did not differ inBAafter 10 yr. Species were generally consistent in size between compositions, and composition performance was correlated with the size of component species, suggesting that species identities were most important in determining plot productivity. Our results suggest that species choice can be based on preferences for individual species, as species performance was consistent across composition contexts. We make recommendations for the use of particularly productive species that also provide multiple services such asGuazuma ulmifolia, Spondias mombin, andAnacardium excelsum.
Sinus Floor Augmentation Using Straumann® BoneCeramic™ and Bio‐Oss® in a Split Mouth Design and Later Placement of Implants: A 5‐Year Report from a Longitudinal Study
Authors: Mordenfeld Arne , Lindgren Christer , Hallman Mats 
Published: September 2015

AbstractBackgroundStraumann® BoneCeramic™ is a synthetic biphasic calcium phosphate (BCP) aimed for sinus floor augmentation. Long‐term follow‐up of implants placed in BCP after sinus augmentation is still missing.PurposeThe primary aim of the study was to compare survival rates and marginal bone loss of Straumann SLActive implants placed in either BCP (test) or Bio‐Oss® (DBB) (control) after sinus floor augmentation. The secondary aim was to calculate graft sinus height at different time points.Materials and MethodsBilateral sinus floor augmentation was performed in a split mouth model. Eleven patients (mean age 67 years) received 100% BCP on one side and 100% DBB on the contralateral side. After 8 months of graft healing, 62 Straumann SLActive implants were placed. After 5 years of functional loading (6 years after augmentation) of implants, marginal bone levels and grafted sinus height were measured, and implant survival and success rates were calculated.ResultsAfter 5 years of loading, all prosthetic constructions were in function although two implants were lost in each grafting material. The overall implant survival rate was 93.5% (91.7% for BCP, 91.3% for DBB, and 100% for residual bone). The success rates were 83.3% and 91.3% for BCP and DBB, respectively. There was no statistically significant difference in mean marginal bone level after 5 years between BCP (1.4 ± 1.2 mm) and DBB (1.0 ± 0.7 mm). Graft height reduction (GHR) after 6 years was limited to 6.6% for BCP and 5.8% for DBB.ConclusionIn this limited RCT study, the choice of biomaterial used for sinus floor augmentation did not seem to have any impact on survival rates and marginal bone level of the placed implants after 5 years of functional loading and GHR was minimal.
Modeling Reputation as a Time‐Series: Evaluating the Risk of Purchase Decisions on eBay*
Authors: Hayne Stephen C. , Wang Haonan , Wang Lu 
Published: September 2015

ABSTRACTReputation systems based on buyer feedback play an important role in today's online markets. In this article, we provide a rigorous methodology to establish a relationship between a seller's feedback history and risk of default. We validate this method against eBay's reputation system, using a dataset of terminated users (Not‐A‐Registered‐User or NARU) and the feedback left for them by buyers. By treating feedback rating data as a function of time, we characterize the tendency of change in seller feedback ratings in order to predict the behavior of a seller. We find that NARU sellers have significantly more negative feedback in their final weeks. Applying functional principal component analysis and classification tree methods, we find that when projecting the feedback data to an appropriate space, NARU and non‐NARU sellers can be distinguished at better than 92% accuracy. We use this to provide a quantitative mechanism for evaluating the risk of trading with a seller who has less than perfect feedback, and offer advice on how much a buyer should offer to pay, given an asking price on a commodity item and a seller's feedback history.