bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of social technologies on knowledge management processes
Authors: Haddadi Harandi Ali Akbar , Bokharaei Nia Mona , Valmohammadi Changiz 
Published: November 2018

PurposeThe importance of e-literacy of staff in the digital life is fundamentally very crucial, to such an extent that it is considered as one of the primary conditions for successful utilization of knowledge management processes using social technologies within organizations. This study aims to explain and test a novel conceptual model to show the impact of applying social technologies on knowledge management (KM) processes in the context of Iranian organizations, considering the moderator role of e-literacy of employees.Design/methodology/approachBased on an in-depth study of the relevant literature, a questionnaire was designed. The sound questionnaires obtained from our sample size was 207 and respondents were experts in the field of information technology (IT) within the Central Office of Insurance companies in Tehran. The collected data were analyzed using structural equation modeling and path analysis.FindingsThe results indicate that the use of social technologies with the factor loading of 0.57 has the highest impact on knowledge exchange and 0.61 on knowledge utilization. In addition, the results indicate that e-literacy with the factor loadings of 0.69 and 0.74 has the highest impact on knowledge exchange and knowledge utilization, respectively. In addition, the impact of social technologies with the factor loading of 0.82 has the highest impact on e-literacy.Research limitations/implicationsOne of the limitations of this study was the generalizability of the findings, which may be limited, as it is focused on one developing country. Also, the lack of full implementation of KM and the use of social technologies in the insurance industry may affect the obtained results.Originality/valueTo the best knowledge of the authors, this study is among the first of its kind which examines the impact of social technologies usage on the KM processes considering an important variable, i.e. e-literacy of employees.
Resveratrol supplementation and flow-mediated dilation: a systematic review
Authors: Emamat Hadi , Djafarian Kurosh , Tangestani Hadith , Hekmatdoost Azita , Shab-Bidar Sakineh 
Published: November 2018

PurposeThis study aims to systematically review randomized clinical trials (RCTs) evaluated the effects of resveratrol on vascular flow-mediated dilation (FMD).Design/methodology/approachAll published RCTs in English were systematically searched on PubMed and Scopus search engines up to October 2017. A total of 61 studies were found through search databases. The outcome variable of interest was FMD. Six articles which met inclusion criteria were included in this study.FindingsFrom six studies, four showed a significant improvement in FMD after resveratrol supplementation acutely or chronically in subjects with cardio-metabolic risk factors. Two other studies did not show any significant effect of resveratrol on FMD.Originality/valueThe authors systematically reviewed the effectiveness of resveratrol supplementation on FMD for the first time. The findings suggest that pure resveratrol supplementation may have beneficial effects on endothelium dependent vasodilatation indicator, FMD.
Rage against the machine: moral anger in whistleblowing
Authors: Mason Chris , Simmons John 
Published: November 2018

PurposeThe purpose of this paper is to offer a theoretical framework of whistleblowing that gives due recognition to the emotional and reflexive processes that underpin it. Modes of anger are integrated into the model based on a reading of Geddes and Callister (2007), and developed by Lindebaum and Geddes (2016) work on moral anger.Design/methodology/approachThe model is derived by interrogation of the extant literature on whistleblowing with due recognition accorded to emotional and reflexive dimensions that have been underrepresented in previous research. The model was tested by a qualitative study that uses memoir analysis to interrogate a board level whistle-blower’s account of the complex, traumatic and like-changing nature of his experience.FindingsThe paper identifies key stages in whistle-blower thinking before, during and subsequent to a decision to expose corporate wrongdoing. It demonstrates how emotional and reflexive processes influence a whistle-blower’s mode of anger expression, and how different perspectives by the whistle-blower and the focal organisation may view this expression as moral or deviant anger.Research limitations/implicationsThe complexity of the whistleblowing process, together with possible alternative perspectives of it, makes identifying every influencing variable extremely challenging. Also, reliance on a whistle-blower’s own account of his experience means that recall may be partial or self-serving. The model can be used to analyse other whistle-blower accounts of their experience, and further confirm its applicability.Originality/valueThis is the first application of memoir analysis to a whistle-blower’s account of his experience that relates modes of anger expression to stages in the whistleblowing episode. It addresses a significant imbalance in whistleblowing research that hitherto has emphasised rationality in whistle-blower decision making and downplayed the influence of reflexivity and emotion.
Multi-solution nature of topology optimization and its application in design for additive manufacturing
Authors: Rezayat Hassan , Bell Jared Richard , Plotkowski Alex J. , Babu Sudarsanam S. 
Published: November 2018

Purpose
The purpose of this paper is to introduce the multi-solution nature of topology optimization (TO) as a design tool for additive manufacturing (AM). The sensitivity of topologically optimized parts and manufacturing constraints to the initial starting point of the optimization process leading to structures with equivalent performance is explored.

Design/methodology/approach
A modified bi-directional evolutionary structural optimization (BESO) code was used as the numerical approach to optimize a cantilever beam problem and reduce the mass by 50 per cent. Several optimized structures with relatively equivalent mechanical performance were generated by changing the initial starting point of the TO algorithm. These optimized structures were manufactured using fused deposition modeling (FDM). The equivalence of strain distribution in FDM parts was tested with the digital image correlation (DIC) technique and compared with that from the modified BESO code.

Findings
The results confirm that TO could lead to a wide variety of non-unique solutions based on loading and manufacturability constraints. The modified BESO code was able to reduce the support structure needed to build the simple two-dimensional cantilever beam by 15 per cent while keeping the mechanical performance at the same level.

Originality/value
The originality of this paper lies in introduction and application of the multi-solution nature of TO for AM as a design tool for optimizing structures with minimized features in the overhang condition and the need for support structures.
Modeling and analysis of the on-demand spare parts supply using additive manufacturing
Authors: Zhang Yuan , Jedeck Stefan , Yang Li , Bai Lihui 
Published: November 2018

Purpose
Despite the widespread expectation that additive manufacturing (AM) will become a disruptive technology to transform the spare parts supply chain, very limited research has been devoted to the quantitative modeling and analysis on how AM could fulfill the on-demand spare parts supply. On the other hand, the choice of using AM as a spare parts supply strategy over traditional inventory is a rising decision faced by manufacturers and requires quantitative analysis for their AM-or-stock decisions. The purpose of this paper is to develop a quantitative performance model for a generic powder bed fusion AM system in a spare parts supply chain, thus providing insights into this less-explored area in the literature.

Design/methodology/approach
In this study, analysis based on a discrete event simulation was carried out for the use of AM in replacement of traditional warehouse inventory for an on-demand spare parts supply system. Generic powder bed fusion AM system was used in the model, and the same modeling approach could be applied to other types of AM processes. Using this model, the impact of both spare parts demand characteristics (e.g. part size attributes, demand rates) and the AM operations characteristics (e.g. machine size and postpone strategy) on the performance of using AM to supply spare parts was studied.

Findings
The simulation results show that in many cases the AM operation is not as cost competitive compared to the traditional warehouse-based spare parts supply operation, and that the spare parts size characteristics could significantly affect the overall performance of the AM operations. For some scenarios of the arrival process of spare parts demand, the use of the batched AM production could potentially result in significant delay in parts delivery, which necessitates further investigations of production optimization strategies.

Originality/value
The findings demonstrate that the proposed simulation tool can not only provide insights on the performance characteristics of using AM in the spare parts supply chain, especially in comparison to the traditional warehousing system, but also can be used toward decision making for both the AM manufacturers and the spare parts service providers.
Hoshin Kanri and A3: a proposal for integrating variability into the policy deployment process
Authors: Tortorella Guilherme , Cauchick-Miguel Paulo A. , Gaiardelli Paolo 
Published: November 2018

Purpose
The purpose of this paper is to propose a methodology to support the Hoshin Kanri (HK) process taking into account the variance of senior managers’ perspective regarding the relationships among objectives, key performance indicators and continuous improvement (CI) projects.

Design/methodology/approach
A four-step methodology incorporates the A3 report into the HK, whose deployment was weighted by the variability among managers’ perception about the importance of each decision. This methodology was applied in a market-leader Mexican auto parts manufacturing company that is undergoing a Lean Manufacturing (LM) implementation.

Findings
The results indicate that the proposed methodology provides an easier approach to consolidate different perspectives and weight the importance of CI projects. Moreover, it minimizes the possibility of managerial conflicts or the influence of a determined senior manager on others’ opinions during the deployment and prioritization.

Practical implications
This work may be of great interest to managers, consultants and professionals who deal with the implementation of LM and wish to prioritize the importance of CI projects within the perspective of HK.

Originality/value
HK provides a systematic approach to integrate strategic management with daily routine management through an adequate deployment of organizational policies to all levels. However, companies usually struggle with several issues such as the style of senior managers and consensus establishment among different opinions, which emphasizes the relevance of the proposed methodology in this study.
Reconceptualising Public Private Partnerships (PPPs) in global public policy
Authors: Nayak Bhabani Shankar 
Published: November 2018

PurposeThe paper provides historical outlook on different trends in PPPs in global public policy. The purpose of this paper is to reject the essentialist and neoliberal approach to PPPs by critically evaluating both normative and empirical arguments within existing literature.Design/methodology/approachThe paper draws its methodological lineages to nonlinear historical narrative around the concept and construction of the idea and language of “PPPs”. The paper follows discourse analysis (Fairclough, 2003) to locate the way in which PPPs were incorporated within the language of global public policy.FindingsThe paper finds that most of the existing literature looks at managerial, operational, functional and essentialist aspects of PPPs. Therefore, the paper argues that critical success of PPPs depends on its social value for the common good with an emancipatory outlook.Originality/valueThe paper argues to move beyond functional aspects of PPPs and locate emancipatory possibilities within the praxis of global public policy.
Species‐specific spatiotemporal patterns of leopard, lion and tiger attacks on humans
Authors: Packer Craig , Shivakumar Shweta , Athreya Vidya , Craft Meggan E. , Dhanwatey Harshawardhan , Dhanwatey Poonam , Gurung Bhim , Joshi Anup , Kushnir Hadas , Linnell John D. C. , Fountain‐Jones Nicholas M. 
Published: November 2018

Abstract

Large carnivores of the genus Panthera can pose serious threats to public safety. Although the annual number of attacks on humans is rare compared to livestock depredation, such incidents undermine popular support for wildlife conservation and require immediate responses to protect human life.

We used a space–time scan method to perform a novel spatiotemporal analysis of 908 attacks on humans by lions, leopards, and tigers to estimate the risks of further attacks in the same locales.

We found that a substantial proportion of attacks were clustered in time and space, but the dimension of these outbreaks varied between species. Lion outbreaks included more human fatalities, persisted for longer periods of time, and extended over larger areas than tiger or leopard outbreaks.

Synthesis and applications. Our analysis reveals the typical spatiotemporal patterns of past lion, leopard, and tiger attacks on humans. In future, this technique could be used by relevant agencies to warn local people of risks from further attacks within a certain time and distance following an initial incident by each species. Furthermore, the approach can help identify areas requiring management interventions to address such threats.
Vaginal progesterone, oral progesterone, 17‐OHPC, cerclage, and pessary for preventing preterm birth in at‐risk singleton pregnancies: an updated systematic review and network meta‐analysis
Authors: Jarde A , Lutsiv O , Beyene J , McDonald SD 
Published: November 2018

BackgroundRecent progesterone trials call for an update of previous syntheses of interventions to prevent preterm birth.ObjectivesTo compare the relative effects of different types and routes of administration of progesterone, cerclage, and pessary at preventing preterm birth in at‐risk women overall and in specific populations.Search strategyWe searched Medline, EMBASE, CINAHL, Cochrane CENTRAL, and Web of Science up to 1 January 2018.Selection criteriaWe included randomised trials of progesterone, cerclage or pessary for preventing preterm birth in at‐risk singleton pregnancies.Data collection and analysisWe used a piloted data extraction form and performed Bayesian random‐effects network meta‐analyses with 95% credibility intervals (CrI), as well as pairwise meta‐analyses, rating the quality of the evidence using GRADE.Main resultsWe included 40 trials (11 311 women). In at‐risk women overall, vaginal progesterone reduced preterm birth <34 (OR 0.43, 95% CrI 0.20–0.81) and <37 weeks (OR 0.51, 95% CrI 0.34–0.74), and neonatal death (OR 0.41, 95% CrI 0.20–0.83). In women with a previous preterm birth, vaginal progesterone reduced preterm birth <34 (OR 0.29, 95% CI 0.12–0.68) and <37 weeks (OR 0.43, 95% CrI 0.23–0.74), and 17α‐hydroxyprogesterone caproate reduced preterm birth <37 weeks (OR 0.53, 95% CrI 0.27–0.95) and neonatal death (OR 0.39, 95% CI 0.16–0.95). In women with a short cervix (≤25 mm), vaginal progesterone reduced preterm birth <34 weeks (OR 0.45, 95% CI 0.24–0.84).ConclusionsVaginal progesterone was the only intervention with consistent effectiveness for preventing preterm birth in singleton at‐risk pregnancies overall and in those with a previous preterm birth.Tweetable abstractIn updated NMA, vaginal progesterone consistently reduced PTB in overall at‐risk pregnancies and in women with previous PTB.
Global Value Chains and Product Differentiation: Changing the Politics of Trade
Authors: Baccini Leonardo , Dür Andreas 
Published: November 2018

AbstractBoth global value chains and trade in differentiated goods have become increasingly important in the international economy. We argue that these two developments interact in changing the political economy of trade. For finished goods, product differentiation facilitates trade liberalization because the adjustment costs of liberalization are lower when countries trade varieties of the same good. By contrast, for goods that are used as inputs in the production process, product differentiation makes trade liberalization more difficult. We find support for this argument in two tests. On the one hand, we look at patterns of lobbying on US preferential trade agreements (PTAs). On the other hand, we use a data set with highly disaggregated tariff data from 61 PTAs signed between 1995 and 2013. The paper contributes to the long‐standing debates on endogenous tariff formation and the consequences of intra‐industry trade, and a nascent literature on the relationship between global value chains and trade policy.
When the State Brings Itself Back into GVC: The Case of the Indonesian Palm Oil Pledge
Authors: Dermawan Ahmad , Hospes Otto 
Published: November 2018

AbstractDuring the last decades the role of the state in governance of Global Value Chains (GVC) for sustainability has been largely ignored. This paper contributes to the re‐centering the state in GVC analysis. We provide an analysis of the rise and fall of the Indonesian Palm Oil Pledge (IPOP). IPOP is a commitment of some biggest palm oil companies towards zero‐deforestation in Indonesia, but was dissolved after serious critique from the Government of Indonesia (GoI). Our question is: why and how did the GoI decide to put an end to the IPOP? We show that the GoI orchestrated the IPOP's demise by framing it as a danger to smallholder development, as not acknowledging public standards, and as an illegal cartel. The GoI's counter‐framing re‐asserts its sovereignty over producers, rule‐making and economic organization. We argue that when a state perceives that when non‐state‐driven GVC governance threatens its sovereignty over producers, rule‐making and economic organization, it will engage in discursive power struggle with non‐state actors. More specifically, collective action of non‐state actors can particularly trigger a state to engage in discursive power struggle with non‐state actors.
The importance of cash flow disclosure and cost of capital
Authors: Kent Richard Anthony , Bu Di 
Published: November 2018

AbstractWe examine whether the choice of cash flow disclosure under International Accounting Standard 7 has an influence on the cost of capital incurred by Australian listed companies. Results indicate that indirect method companies incur a significantly higher ex‐ante cost of equity than direct method companies using a combined equity model approach. We also demonstrate that using an optimal weighted combination of equity models reduces model variance and bias compared to using a single equity model. Our findings support mandating the direct method and have the potential to induce companies to report the direct method to increase company value.
Missing canines: a novel aetiology
Authors: Roberts SM , Currell SD , Abdalla Y 
Published: November 2018

AbstractInfant oral mutilation is the practice of removing developing tooth germs, commonly the mandibular canine, in infants up to the age of 1 year. Subsequent complications include missing, impacted or hypoplastic permanent anterior and canine teeth. We report on a case of bilaterally missing lower canines thought to be due to infant oral mutilation. It is important that general dental practitioners are aware of this practice and resulting complications when treating families from sub‐Saharan East Africa.
Semiparametric model averaging prediction: a Bayesian approach
Authors: Wang Jingli , Li Jialiang 
Published: November 2018

SummaryWe present a novel model averaging method to construct a prediction function in semi‐parametric form. The weighted sum of candidate semi‐parametric models is taken as a prediction of the mean response. Marginal non‐parametric regression models are approximated by spline basis functions and we apply a Bayesian Monte Carlo approach to fit such models. The optimal model weight parameters are estimated by minimising the least squares criterion with an explicit form. We implement our method in extensive simulation studies and illustrate its use with two real medical data examples. Our methods are demonstrated to be more accurate than both classical parametric model averaging methods and existing semi‐parametric regression models.
The role of trust in global health research collaborations
Authors: Kerasidou Angeliki 
Published: November 2018

AbstractCollaborations in global health research are on the rise because they enhance productivity, facilitate capacity building, accelerate output and make tackling big, multifactorial research questions possible. In this paper, I examine the concepts of trust and reliance in scientific collaborations in general, but also in the particular context of collaborations in global health research between high‐income countries and low‐and‐middle income countries (LMIC). I propose and defend the argument that given the particular characteristics of collaborations and demands of trust relationships, reliance is a better relational mode for successful collaborations. Although reliance can be difficult to establish in situations where asymmetry of power exists, trust should not be the only relational mode available to LMIC researchers because of the type of vulnerability it introduces to the relationship. I conclude that the promotion of good collaborations requires addressing the power imbalances between partners, and establishing an even playing field in global health research.
Glucose levels and diabetes are not associated with the risk of venous thrombosis: results from the MEGA case‐control study
Authors: Li‐Gao Ruifang , Morelli Vânia M. , Lijfering Willem M. , Cannegieter Suzanne C. , Rosendaal Frits R. , van Hylckama Vlieg Astrid 
Published: November 2018

SummaryIt is unclear whether hyperglycaemia or diabetes mellitus are risk factors for a first venous thrombosis (VT). Self‐reported diabetes status and fasting glucose (FG) measures were collected from the Multiple Environmental and Genetic Assessment (MEGA) study to confirm these associations. FG levels were categorized based on the World Health Organization criteria [<6·1 (reference), 6·1–7·0 (2nd), ≥7·0 (3rd) mmol/l]. Logistic regression was performed to quantify the associations. Neither increased FG levels [Odds ratio (95% confidence interval): 0·98 (0·69–1·37) 2nd vs. reference, 0·97 (0·58–1·63) 3rd vs. reference] nor self‐reported diabetes [1·12 (0·80–1·58)] were associated with an increased risk of a first VT.
Synthesis, anticancer activity and cytotoxicity of 7‐O‐β‐d‐galactosyl‐polyethylene glycol‐epothilone B
Authors: Huang Shiyu , Huang Gangliang 
Published: November 2018

AbstractEpothilone, the macrolide compound produced by Sorangium cellulosum, has antitumor activity. Its anti‐tumor mechanism is similar to that of paclitaxel, which promotes the polymerization of tubulin and induces apoptosis. Herein, 7‐O‐β‐d‐galactosyl‐polyethylene glycol‐epothilone B 6 was synthesized. It showed that the toxicity of the synthesized compound was 1/182 of the epothilone B. In addition, compound 6 also had significant anticancer activity under the action of enzyme.
887. NICOTIANA EXCELSIOR
Authors: Chase Mark W. , Christenhusz Maarten J. M. 
Published: November 2018

SummaryNicotiana excelsior is a species restricted to central Australia. It is illustrated here from plants grown at the Royal Botanic Gardens, Kew, from seeds collected at Kata‐Tjuta‐Uluru National Park in the Northern Territory. It is a very attractive species and makes an excellent horticultural subject. Its ecology, etymology, traditional use and cultivation are discussed.