bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is there such a thing as too long childcare leave?
Authors: Nieuwenhuis Rense , Need Ariana , Van der Kolk Henk 
Published: March 2017

Purpose
The purpose of this paper is to revisit the question whether women’s employment is negatively affected in countries with very long periods of childcare leave.

Design/methodology/approach
The authors analyzed data on 192,484 individual women, 305 country-years, and 18-countries, combined with country-level data on childcare, unemployment and service sector size.

Findings
The authors found that in countries with short periods of childcare leave the motherhood-employment gap is smaller than in countries with no childcare leave, while in countries with long periods of childcare leave the motherhood-employment gap is bigger than with short periods of leave.

Originality/value
The authors argued that to correctly answer the long-leave question – the relationship between duration of leave and employment of women should be explicitly hypothesized as being curvilinear; and childcare leave should be expected to affect only mothers, not women without children; testing the long-leave hypothesis requires the use of country-comparative data in which countries are observed repeatedly over time; and is best tested against person-level data.
Cognitive big data: survey and review on big data research and its implications. What is really “new” in big data?
Authors: Lugmayr Artur , Stockleben Björn , Scheib Christoph , Mailaparampil Mathew A. 
Published: March 2017

PurposeThe purpose of this paper is to introduce and define Cognitive Big Data as a concept. Furthermore, it investigates what is really “new” in Big Data, as it seems to be a hyped-up concept that has emerged during recent years. The purpose is also to broaden the discussion around Big Data far beyond the common 4V (velocity, volume, veracity and variety) model.Design/methodology/approachThe authors established an expert think tank to discuss the notion of Big Data, identify new characteristics and re-think what really is new in the idea of Big Data, by analyzing over 60 literature resources. They identified typical baseline scenarios (traffic, business processes, retail, health and social media) as a starting point from which they explored the notion of Big Data from different perspectives.FindingsThey concluded that the idea of Big Data is simply not new and recognized the need to re-think a new approach toward Big Data. The authors also introduced a five-Trait Framework for “Cognitive Big Data”, socio-technical system, data space, data richness, knowledge management (KM)/decision-making and visualization/sensory presentation.Research limitations/implicationsThe viewpoint is centered on cognitive processes as KM process.Practical implicationsData need to be made available in an understandable form for the right application context and in the right portion size that it can be turned into knowledge and eventually wisdom. The authors need to know about data that can be ignored, data that they are not aware of (dark data) and data that can be fully utilized for analysis (light data). In the foreground is the extension of human mental capabilities and data understandability.Social implicationsCognitive Big Data implies a socio-technological knowledge system.Originality/valueIntroduction of cognitive Big Data as concept and framework.
Facilitating knowledge management through filtered big data: SME competitiveness in an agri-food sector
Authors: O’Connor Christina , Kelly Stephen 
Published: March 2017

Purpose
This paper aims to critique a facilitated knowledge management (KM) process that utilises filtered big data and, specifically, the process effectiveness in overcoming barriers to small and medium-sized enterprises’ (SMEs’) use of big data, the processes enablement of SME engagement with and use of big data and the process effect on SME competitiveness within an agri-food sector.

Design/methodology/approach
From 300 participant firms, SME owner-managers representing seven longitudinal case studies were contacted by the facilitator at least once-monthly over six months.

Findings
Results indicate that explicit and tacit knowledge can be enhanced when SMEs have access to a facilitated programme that analyses, packages and explains big data consumer analytics captured by a large pillar firm in a food network. Additionally, big data and knowledge are mutually exclusive unless effective KM processes are implemented. Several barriers to knowledge acquisition and application stem from SME resource limitations, strategic orientation and asymmetrical power relationships within a network.

Research limitations/implications
By using Dunnhumby data, this study captured the impact of only one form of big data, consumer analytics. However, this is a significant data set for SME agri-food businesses. Additionally, although the SMEs were based in only one UK region, Northern Ireland, there is wide scope for future research across multiple UK regions with the same Dunnhumby data set.

Originality/value
The study demonstrates the potential relevance of big data to SMEs’ activities and developments, explicitly identifying that realising this potential requires the data to be filtered and presented as market-relevant information that engages SMEs, recognises relationship dynamics and supports learning through feedback and two-way dialogue. This is the first study that empirically analyses filtered big data and SME competitiveness. The examination of relationship dynamics also overcomes existing literature limitations where SMEs’ constraints are seen as the prime factor restricting knowledge transfer.
Impact of additive manufacturing on business competitiveness: a multiple case study
Authors: Khorram Niaki Mojtaba , Nonino Fabio 
Published: March 2017

PurposeThe purpose of this paper is to identify the impacts of additive manufacturing (AM) in manufacturing, business strategies and business performance and to determine the contingent factors driving performance. Accordingly, this study also clarifies the relationship between these impacts and company and product characteristics.Design/methodology/approachThe authors conducted an exploratory study using multiple case research methodology, sampling 16 heterogeneous companies based on the theoretical replication approach. The potential impacts of AM were identified by reviewing the previous literature. For the driving factors, the paper follows the literature on AM, as well as the theories arisen from technology management literature. The qualitative information was collected by means of semi-structured interviews and documentary analysis to measure the effectiveness of AM in these aspects.FindingsThe paper derives and provides empirical insights regarding how this technology affects the industry. This study reveals how the implementation of AM in the Rapid Manufacturing (RM) of products made of metal has boosted productivity. These findings also demonstrate an increasing competitiveness of the early adopter SMEs using RM.Research limitations/implicationsThis empirical research has been conducted by means of qualitative data. Therefore, researchers are encouraged to test the propositions by quantitative measures.Practical implicationsThe paper provides insights for the adaption of AM and its impacts on business strategies and performance.Originality/valueThis paper contributes to expanding the literature by depicting explicit links between the implementation of this revolutionary technology and business strategies and performance.
Market, entrepreneurial, and technology orientations: impact on innovation and firm performance
Authors: Kocak Akin , Carsrud Alan , Oflazoglu Sonyel 
Published: March 2017

PurposeThe purpose of this paper is to examine the effects of market, technology, and entrepreneurial orientations (EOs) on both innovation and firm performance. It analyzes the mediating effects of incremental and radical innovation within the context of entrepreneurial firms in Turkey, an emerging economy.Design/methodology/approachThis study empirically analyses the impact of strategic orientations on firm performance through innovation with a sample of 818 small and medium enterprises in Turkey. To test the proposed model, LISREL is used.FindingsProactive market orientation (MO) and technology orientation (TO) lead to radical innovation, while responsive MO strongly affects incremental innovation. EO impacts performance directly and indirectly via both incremental and radical innovation.Practical implicationsFinding suggests that senior management of firms, especially in emerging economies should encourage marketing managers to focus on key trends of markets, both existing and emerging. These marketing managers should find and work with lead users to improve radical product development. This means that those managing marketing need to be well schooled in technology, and they should also possess a proactive MO.Originality/valueThe present study employs a two-part view of the MO construct (responsive and proactive MO). This conceptualization provides a greater degree of precision in the use of the MO concept which was rarely employed in prior studies. Moreover, this paper views strategic orientations as drivers of innovation and examines how radical and incremental innovation mediate the effects of MO, EO and TO on firm performance. Finally, this is one of the few studies to look at all of these factors simultaneously and to include the two-part view of MO.
Determination of China’s foreign exchange intervention: evidence from the Yuan/Dollar market
Authors: Li He , Yu Zhixiang , Zhang Chuanjie , Zhang Zhuang 
Published: March 2017

PurposeThe paper aims to investigate the determinants of China’s daily intervention in the foreign exchange market since the 2005 reform aimed at moving the Renminbi (RMB) exchange rate regime towards greater flexibility.Design/methodology/approachThe paper uses bivariate probit models to test whether China’s intervention decision is driven by three sets of factors, comprising Model I (basic model), Model II and Model III.FindingsEvidence from the models suggests that medium-term Chinese interventions tend to be leaning-against-the-wind, whereas long-term interventions are leaning-with-the-wind. Furthermore, by analyzing exchange rate volatility, this paper finds that intervention is used by the Chinese central bank to ensure that there are no big swings in the RMB exchange rate.Originality/valueThe paper will be of value to other researchers attempting to understand the policy of the central bank and, in particular, the factors that can lead to interventions during periods of financial crisis.
Using beta diversity to inform agricultural policies and conservation actions on Mediterranean farmland
Authors: Santana Joana , Porto Miguel , Reino Luís , Moreira Francisco , Ribeiro Paulo Flores , Santos José Lima , Rotenberry John T. , Beja Pedro 
Published: March 2017

Summary

Spatial variation in species composition (β‐diversity) is an important component of farmland biodiversity, which together with local richness (α‐diversity) drives the number of species in a region (γ‐diversity). However, β‐diversity is seldom used to inform conservation, due to limited understanding of its responses to agricultural management, and lack of clear links between β‐diversity changes and conservation outcomes.

We explored the value of β‐diversity to guide conservation on farmland, by quantifying the contribution of bird α‐ and β‐diversity to γ‐diversity variation in low‐ and high‐intensity Mediterranean farmland, before (1995–1997) and after (2010–2012) the Common Agricultural Policy reform of 2003. We further related β‐diversity to landscape heterogeneity, and assessed the conservation significance of β‐diversity changes.

In 1995–1997, bird diversity was highest in low‐intensity farmland, where it further increased in 2010–2012 due to a strong positive contribution of α‐diversity to γ‐diversity. In high‐intensity farmland, diversity converged over time to much the same values of low‐intensity farmland, with strong positive contributions of both α‐ and β‐diversity. These patterns were largely consistent for total, farmland and species of European conservation concern assemblages, and less so for steppe birds.

Beta diversity increased with landscape heterogeneity, particularly related to spatial gradients from agricultural to natural habitats in low‐intensity farmland, and from annual to permanent crops (olive groves) in high‐intensity farmland. The first gradient was associated with the replacement of steppe birds of high conservation concern by more generalist species, while the second was associated with the replacement between species with lower or higher affinity for woodland and shrubland habitats.

Synthesis and applications. In low‐intensity farmland, spatial variation in species composition (β‐diversity) was largely stable over time, reflecting a positive conservation outcome related to persistence of landscape heterogeneity patterns required by endangered steppe bird species. In contrast, β‐diversity in high‐intensity farmland was favoured by increases in landscape heterogeneity driven by olive grove expansion, contributing to enhancement of total bird diversity. Overall, our results stress the value of β‐diversity to understand impacts of agricultural policies and conservation actions, but also highlight the need to evaluate β‐diversity changes against specific conservation goals.
Changes in PPARδ expression in a rat model of stress‐induced depression
Authors: Liu Keng‐Fan , Li Yingxiao , Cheng Kai Chun , Hsu Chao Chin , Cheng Juei‐Tang , Peng Wen‐Huang 
Published: March 2017

SummaryDepression is a common mental disorder that has been linked to a decrease in the expression of serotonin and/or the serotonin transporter in the brain. Antidepressants that target the monoaminergic system are widely used in the clinical setting. Peroxisome proliferator‐activated receptor δ (PPAR δ) overexpression or activation is thought to improve depression‐like behaviours in rodents. The present study was designed to characterize the changes in PPARδ expression in the hippocampus in rats with stress‐induced depression. We used an unpredictable chronic mild stress (CMS) model in rats to study the role of PPARδ in the hippocampus. Behaviour was evaluated via a forced swim test (FST), a tail suspension test (TST), and a sucrose preference test (SPT). Then, the changes in PPARδ expression and other signals were determined using Western blots. We found that PPARδ expression in the hippocampus was markedly reduced in rats with depression. Moreover, the expression of the serotonin transporter was also significantly decreased. Treatment with a PPARδ agonist enhanced the expression of PPARδ and the serotonin transporter in the hippocampus of rats with stress‐induced depression. Additionally, treatment with a PPARδ agonist increased the expression of the serotonin transporter in cultured hippocampal (H19‐7) cells, and this action was ablated in the absence of PPARδ, which was attenuated with shRNA. Taken together, we found that PPARδ plays an important role in the regulation of serotonin transporter expression and that chronic stress may lower PPARδ expression in the brain via apoptosis and may attenuate serotonin transporter expression, thus inducing depression in rats.
It's meaning making, stupid! Success of public leadership during flash crises
Authors: Helsloot Ira , Groenendaal Jelle 
Published: March 2017

Boin et al. (International Review of Public Administration, 18, 2013, 79) and others propose that public crisis leadership consists of several core tasks, among which crisis decision‐making and meaning making stand out in “flash crises.” We however argue that successful leadership during a sudden crisis implies being visible and appealing to the public in need of hearing that the shattered world will be healed. When being visible and using the right rhetoric, public leaders are by and large automatically considered proficient crisis decision makers, that is “the right leader in the right place at the right time.”
Gestational age at diagnosis of early‐onset fetal growth restriction and impact on management and survival: a population‐based cohort study
Authors: Monier I , Ancel P‐Y , Ego A , Guellec I , Jarreau P‐H , Kaminski M , Goffinet F , Zeitlin J ,   the EPIPAGE 2 Study Group
Published: March 2017

ObjectiveTo investigate the impact of gestational age (GA) at diagnosis of fetal growth restriction (FGR) on obstetric management and rates of live birth and survival for very preterm infants with early‐onset FGR.DesignPopulation‐based cohort study.SettingAll maternity units in 25 French regions in 2011.PopulationFetuses diagnosed with FGR before 28 weeks of gestation among singleton births between 22 and 31 weeks of gestation without severe congenital anomalies.MethodsWe studied the effects of GA at diagnosis on perinatal management and outcomes. We used multivariable regression to identify antenatal factors (maternal characteristics, ultrasound measurements and sex) associated with the probability of live birth.Main outcomes measuresLive birth and survival to discharge from neonatal care.ResultsA total of 436 of 3698 fetuses were diagnosed with FGR before 28 weeks (11.8%); 66.9% were live born and 54.4% survived to discharge. 50% were live born when diagnosis occurred before 25 weeks, 66% at 25 weeks and >90% at 26 and 27 weeks of gestation. In all, 94.1% of live births were by prelabour caesarean, principally for maternal indications before 26 weeks. Low GA at diagnosis, an estimated fetal weight or abdominal circumference below the third centile and male sex were adversely associated with live birth in adjusted models.ConclusionGestational age at FGR diagnosis had an impact on the probability of live birth and survival, after consideration of other perinatal characteristics. Investigations of the outcomes of births with early‐onset FGR need to include stillbirths and information on the GA at which FGR is diagnosed.Tweetable abstractEvaluations of active management of pregnancies with early onset growth restriction should include stillbirths.
Mitigating Nutrition and Health Deficiencies in Older Adults: A Role for Food Innovation?
Authors: Baugreet Sephora , Hamill Ruth M. , Kerry Joseph P. , McCarthy Sinéad N. 
Published: March 2017

AbstractThe aim of this review is to describe the factors contributing to diminished food intake, resulting in nutritional deficiencies and associated health conditions in older adults and proposes food innovation strategies to mitigate these. Research has provided convincing evidence of a link between healthy eating patterns and healthy aging. There is a need to target new food product development (NPD) with functional health benefits specifically designed to address the particular food‐related needs of older consumers. When developing foods for older adults, consideration should be given to the increased requirements for specific macro‐ and micronutrients, especially protein, calcium, vitamin D, and vitamin B. Changes in chemosensory acuity, chewing difficulties, and reduced or poor swallowing ability should also be considered. To compensate for the diminished appetite and reduced intake, foods should be energy dense, nutritionally adequate, and, most importantly, palatable, when targeting this cohort. This paper describes the potential of new food product development to facilitate dietary modification and address health deficiencies in older adults.
Assembly FG: An Educational Case on MRP II Integrated within ERP
Authors: Lambert Sherwood Lane , Calvasina Richard , Bee Sarah , Woodworth David 
Published: March 2017

AbstractThis case teaches students how discrete (job order) manufacturing companies use Manufacturing Resource Planning (MRP II) within Enterprise Resource Planning (ERP) systems to plan purchase orders for direct materials and shop orders for work‐in‐process and finished goods. Students simulate MRP II integrated within ERP, using Microsoft Excel to learn MRP II's bill‐of‐materials (BOM) Explosion that plans order quantities and MRP II's scheduling logic that uses lead‐times to determine start dates for planned orders. Students explain why MRP II is most practical and effective when executed within ERP and how MRP II can reduce excess inventories, prevent inventory shortages, and help companies deliver quality products to customers on schedule. Also, students explain why BOM, inventory, and lead‐time inaccuracies can adversely affect the accuracy of MRP II‐planned replenishments and identify controls that reduce the risks of these inaccuracies.
Diagnostic procedures employed by dental practitioners in Australia with a focus on endodontic diagnostic procedures
Authors: Tan ASJ , Bennett GW , Tan JCW , Abbott PV 
Published: March 2017

AbstractBackgroundAn accurate diagnosis is the foundation for determining prognosis and appropriate management. This study adds to pre‐existing (albeit limited) evidence by exploring the use of diagnostic techniques amongst dental practitioners. The main aim of the study was to identify the availability, usage and clinician preference for specific diagnostic tests. A secondary aim was to investigate the use of diagnostic tests for common clinical scenarios.MethodsA cross‐sectional survey was distributed online to dental practitioners registered with the Australian Dental Association. Quantitative data on clinician demography, and the availability and preference of diagnostic tests was summarized with Stata 13 software. Pearson's chi‐squared test was used to determine associations.ResultsGeneral dental practitioners (GDP) and specialists comprised 86% and 14% of the 433 respondents, respectively. Unlike light transillumination, most GDP had radiography, biting tests and pulp sensibility tests available. The electric pulp test and ethyl chloride were first choices of most practitioners despite markedly lower availability relative to cold spray. Symptoms and endodontic assessments generally attracted wider usage of pulp testing.ConclusionsMore dental practitioners should utilize diagnostic testing in order to arrive at accurate diagnoses. The availability of diagnostic tests did not completely translate to usage and none of the scenarios presented warranted pulp sensibility testing from all respondents.
Changes to infant feeding guidelines: Relevance to dermatologists
Authors: Wong Celestine C , Allen Katrina J , Orchard David 
Published: March 2017

AbstractThe newly revised Australian Infant Feeding Guidelines recommends that all infants, including those at high risk of allergy, be introduced foods traditionally considered allergenic (such as peanut butter, dairy, wheat and egg) within the first year of life. High‐risk infants are those with early onset eczema (<3‐months old) or with moderate to severe eczema not responding to treatment (<6‐months old). Eczema can also represent a symptom of allergy presentation and the recommended introduction of some foods in this group may lead to allergic reactions at home. Although there have been no reported deaths from gradual food introduction to infants at home and cohort studies have only reported mild to moderate reactions, there is anecdotal evidence that more severe reactions can occur rarely. Allergic reactions, even if they are not life‐threatening, can be a terrifying experience for parents. Dermatologists play an important role when dealing with high‐risk infants in promoting the message of early allergenic food introduction yet also instigating appropriate allergy testing when necessary. This short review aims to provide an update to Australasian dermatologists on the newly revised Australian Infant Feeding Guidelines and provide a food allergy screening pathway for high‐risk infants prior to commencement of allergenic foods.