bluuebunny/crossref_metadata_2025_split huggingface dataset:
Resilience development: learnings for organisations from technical diving
Authors: Meissner Jens O. 
Published: December 2019

Purpose
The purpose of this paper is to follow the general question, how technical rebreather divers ensure their survival during performing of highly demanding dives – and what organisations could learn from these practices. As one form of complex adaptive system, technical divers perform different routines before and during the dive. These practices are formally trained and also informally mediated and developed. After investigating theoretical concepts like high reliability organising, Safety-I and -II as well as organisational resilience management, the authors scope on the existing risk and resilience practices in technical rebreather diving. Finally, the insights of the empirical research are used to make the transfer to the field of management studies – and ask relevant questions regarding their applied resilience intelligence.

Design/methodology/approach
The empirical research is analysed by applying Hollnagel’s Functional Resonance Analysis Method (FRAM) which leads to the reconstruction of an extended resilience management model for technical rebreather diving. The model development bases on a field study which comprised 300 hours of observations.

Findings
The findings are depicted in an FRAM model that exactly shows how technical divers perform high reliability operations and thus manages and increase the resilience of their socio-technical system.

Research limitations/implications
Research results show the depicted model and the potential learnings for organisations and organisational resilience. However, the research remains inductive and is qualitative. Deductive and quantitative research would enrich and complete the picture.

Practical implications
The research is informative and offers an interdisciplinary but comprehensive bridge between the specific high reliability organisations/resilience practice of technical divers and the potential learnings for organisations. Companies can take the identified categories and mechanisms to match them to their own resilience activities.

Social implications
Increasing organisational resilience means to increase societal resilience and thus sustainability. The research aims to support this interdisciplinary learning process.

Originality/value
The originality lies in the research object itself (technical diving practices), that never has been researched with an FRAM before. It is an interesting, comprehensive and interdisciplinary show case that is used to derive practical considerations for companies to strengthen their organisational resilience.
Measuring social influence from online traveler reviews
Authors: Book Laura A. , Tanford Sarah 
Published: December 2019

Purpose
The purpose of this paper is to develop a scale to measure normative and informational influence in online traveler reviews.

Design/methodology/approach
Through proper scale development techniques and a two-sample validation process, the resulting 2-factor, 11-item scale yields a valid and reliable measure of social influence.

Findings
The resultant scale provides a tool for researchers to investigate the process whereby different characteristics of online reviews influence travel decisions.

Originality/value
Customer reviews are prevalent and powerful sources of influence on travel decisions. However, it is unclear how social influence manifests in today’s online purchasing environment. For several decades, the domain of social influence has played an important role in the advancements of consumer behavior and hospitality/tourism research. In particular, normative and informational influences are applicable, since online reviews contain numerous informational and normative cues. These principles were formulated under much different conditions than today’s purchasing environment. This research provides a way to measure normative and informational influence in the online review environment, thus enhancing the understanding of how reviews influence purchase decisions.
Reliability based design method for buckling of steel columns in fire
Authors: Kervalishvili Andrei , Talvik Ivar 
Published: December 2019

Purpose
This paper aims to reliability analysis of axially loaded steel columns at elevated temperatures considering the probabilistic features of fire.

Design/methodology/approach
The response function used in the reliability analysis is based on the non-linear FEM calculations. The stochastic variability of temperature is integrated with the procedure similar to the parameters of loading and material properties. Direct Monte Carlo simulations (MCSs) are implemented for probabilistic analysis. Computational costs are reduced by polynomial approximation of the response function of the column.

Findings
A design method for practical applications in the common Eurocode format is proposed. The proposed method can be used to estimate the failure probability of a steel column in fire conditions. If standard reliability criteria are applied, the results of the steel column buckling capacity in the fire according to the proposed procedure deviate from the Eurocode results in certain parameter ranges.

Originality/value
The proposed method for design calculations makes use of the advantages of MCS results, while the need for the tedious amount of calculations for the end user are avoided as the predefined factors are implemented in the procedure of Eurocode format. The proposed method allows better differentiation of the fire probability in the capacity assessment compared to the existing design methods.
The effects of brokered network governance on relational embeddedness in the triadic supply chains: is there a room for the “Coleman rent”?
Authors: Swierczek Artur 
Published: December 2019

Purpose
The purpose of this paper is to explore whether brokered network governance, run by the manufacturer, affects relational embeddedness and thus contributes to yielding the Coleman rent in the triadic supply chains.

Design/methodology/approach
Building upon the theoretical tenets of transaction cost analysis, complemented by the underpinnings of social capital theory, this study involves an empirical investigation that uses survey data collected from the triadic supply chains in Europe. The research covers a two-step analysis. In the first step, the Coleman rent was estimated through the regression analysis with the interaction effects. Then, partial least squares–structural equation modeling was used to estimate the reflective-formative nature of higher component model and test the research hypotheses.

Findings
The results of the study demonstrate that the distribution of three mechanisms in network governance is relatively even; however, market and hierarchy still emerge as the most impactful dimensions. Interestingly, though, this study shows that social capital can actually coexist with market and hierarchy in the triadic supply chains with the structural hole. Likewise, the research indicates that the impact of brokered network governance on the strength of network relational embeddedness is significant, but relatively weak, whereas network relational embeddedness has a strong and positive effect on the Coleman rent.

Research limitations/implications
This study makes three major contributions. First, this study is one of very few that explicitly considers brokered network governance, run by the manufacturer positioned on the structural hole in its triadic supply chain. Second, as the triadic perspective is still uncommon in the supply chain studies, this research investigates a triad with the structural hole within the manufacturing setting. Third, the paper seeks to investigate the ability to yield the Coleman rent in the triadic supply chains with the structural hole, although this type of rent is typically linked to another arrangement called closure.

Originality/value
Given the increasing attention paid to the role of social capital within supply chains, this study investigates how relational embeddedness can be used by the manufacturer, sitting on the structural hole and running the network governance mechanism, to yield the Coleman rent in the triadic supply chain.
Market dynamics, cyclical patterns and market states
Authors: Bejaoui Azza , Ben Sassi Salim , Majdoub Jihed 
Published: December 2019

PurposeIn this paper, the authors seek to investigate the dynamics of Bitcoin, Litecoin, Ethereum and Ripple daily returns and volatilities.Design/methodology/approachIn this paper, the authors apply the MS-ARMA model on daily returns of Bitcoin (19/04/2013-13/02/2018), Ripple (05/08/2013-14/02/2018), Litcoin (29/04/2013-14/02/2018) and Ethereum (08/02/2015-14/02/2018). This model allows capture of the nonlinear structure in both the conditional mean and the conditional variance of cryptocurrency returns.FindingsAll the cryptocurrency markets show regime switching in the return-generating process. Market dynamics seem to be governed by two different states which differ from one cryptocurrency market to another in terms of mean return, volatility and interstate dynamics. These findings can be explained by investors’ behavior, i.e. speculative trading and herding behavior. By choosing to participate (or imitating some investors) in some cryptocurrency markets (in particular Bitcoin market), they affect the price movements and therefore the market dynamics in the short run.Practical implicationsIdentifying the different market states provides information for investors to make more accurate portfolio decisions in the virtual market and follow the market timing strategy.Originality/valueThis paper attempts to analyze potential nonlinear structure in cryptocurrencies returns and analyze if there is a difference between the cryptocurrencies market cycles. So, the search for congruent and adequate specification to reproduce the stock returns dynamics in the virtual market still remains the concern of several empirical studies. This research not only examines the behavior of stock returns in the cryptocurrencies’ market but also highlights the existence of nonlinearity propriety as a stylized fact.
Multiple paternity in a lek mating system: Females mate multiply when they choose inexperienced sires
Authors: Rivers Pearl R. , DuVal Emily H. 
Published: December 2019

Abstract

Multiple mating by females is common and often driven by social constraints on female mate choice. However, females mate with multiple males even in systems without these social constraints and rates of multiple mating tend to be highly variable within and between populations. In lek mating systems, females are able to assess multiple males and their choice is unrestricted by pair bonds or the need for biparental care, yet some females mate with multiple males.

To better understand the factors affecting variation in multiple mating, we investigated the occurrence of multiple paternity within clutches in a highly polygynous lek mating system.

Using long‐term data on genetic paternity, survival, social status and individual age from a population of lance‐tailed manakins Chiroxiphia lanceolata, a species where males lek in cooperative alpha‐beta pairs, we tested five non‐exclusive hypotheses about the causes of variation in multiple mating and its benefits in females.

We found that inexperienced males, including new alphas and rare beta sires, were disproportionately likely to share paternity when they sired any chicks. In contrast, female age (experience) was unrelated to multiple paternity. Multiple mating did not result in higher reproductive success or reduced variance in success for females, and there were neither consistently promiscuous females nor males that consistently shared paternity.

The occurrence of multiple paternity in this lek mating system was best explained by female choice related to male characteristics that change with male experience. Our results support the hypothesis that there is a developmental component to the occurrence of multiple mating, and suggest females choose to mate multiply when their choices are not optimal.
Chronic exposure to the pesticide flupyradifurone can lead to premature onset of foraging in honeybees Apis mellifera
Authors: Hesselbach Hannah , Seeger Johannes , Schilcher Felix , Ankenbrand Markus , Scheiner Ricarda 
Published: December 2019

Abstract

Honeybees Apis mellifera and other pollinating insects suffer from pesticides in agricultural landscapes. Flupyradifurone is the active ingredient of a novel pesticide by the name of ‘Sivanto’, introduced by Bayer AG (Crop Science Division, Monheim am Rhein, Germany). It is recommended against sucking insects and marketed as ‘harmless’ to honeybees. Flupyradifurone binds to nicotinergic acetylcholine receptors like neonicotinoids, but it has a different mode of action. So far, little is known on how sublethal flupyradifurone doses affect honeybees.

We chronically applied a sublethal and field‐realistic concentration of flupyradifurone to test for long‐term effects on flight behaviour using radio‐frequency identification. We examined haematoxylin/eosin‐stained brains of flupyradifurone‐treated bees to investigate possible changes in brain morphology and brain damage.

A field‐realistic flupyradifurone dose of approximately 1.0 μg/bee/day significantly increased mortality. Pesticide‐treated bees initiated foraging earlier than control bees. No morphological damage in the brain was observed.

Synthesis and applications. The early onset of foraging induced by a chronical application of flupyradifurone could be disadvantageous for honeybee colonies, reducing the period of in‐hive tasks and life expectancy of individuals. Radio‐frequency identification technology is a valuable tool for studying pesticide effects on lifetime foraging behaviour of insects.
Trade Policy and Global Uncertainties: How to Promote an Open Trade Agenda
Authors: Cernat Lucian 
Published: December 2019

AbstractEU trade policy initiatives since 1995 offer better products at lower prices with estimated annual savings of up to €60 billion annually, which is especially beneficial for low‐income households who spend a larger share of income on basic commodities. If trade is so beneficial, why is there so much discontent? The paper argues that a convincing communication strategy in support of trade policy is key for trade policy legitimacy and gives the example of the European Commission's #FTAcomes2town platform based on firm‐level data. Politicians can zoom in across all EU members to find examples of small companies in their constituency exporting and creating jobs due to a trade measure.
The abiding voter: The lengthy horizon of retrospective evaluations
Authors: STIERS DIETER , DASSONNEVILLE RUTH , LEWIS‐BECK MICHAEL S. 
Published: December 2019

AbstractAlthough the theory of retrospective voting receives wide support in the literature on voting behaviour, less agreement exists on voters’ time horizon when assessing the government's performance – that is, whether voters are myopic. Previous studies on voter myopia tend to focus on aggregate‐level measures of the economy, or use an experimental approach. Using panel data, this article offers the first investigation into voter myopia that uses individual‐level evaluations of government performance in a representative survey at several points during the electoral cycle. The study focuses on The Netherlands, but it also provide tests of the generalisability and robustness of the findings, and a replication in the American context. The results indicate that voter satisfaction early in the government's term adds to explaining incumbent voting. Thus, rather than the myopic voter, evidence is found of the abiding voter – steady at her or his post, evaluating government performance over a long length of time.
A retrospective audit of treatment pathway for women diagnosed with cervical cancer in the Auckland region 2012–2016
Authors: Parinpanayagam Shalini , Brooks Susan 
Published: December 2019

AbstractIntroductionThe purpose of this study was to describe the treatment pathway and timelines of patients diagnosed with FIGO stage IB1‐IVA cervical cancer receiving definitive radiotherapy +/− chemotherapy and the potential improvements made since the previous audit and impact on overall survival (OS), disease‐free survival (DFS) and local control (LC).MethodsThis is a retrospective audit on patients diagnosed with FIGO Stage 1B1‐IVA cervical cancer in the Northland/Auckland region of New Zealand between 2012 and 2016.ResultsThere were 95 patients identified. Median time from referral to start of treatment was 69 days, from referral to first specialist assessment (FSA) 11 days, from FSA to decision to treat (DTT) 41 days and from DTT to start treatment 21 days. There was no statistical difference in time from referral to start of treatment between patients treated with radiotherapy alone or with combined chemoradiotherapy (P < 0.1695). Private FSA (P < 0.0115) and shorter time from MDM to completion of radiological investigations (P < 0.0001) were associated with shorter median times from referral to start of treatment. Median overall treatment time (OTT) was 43 days. The 3‐year OS, LC and DFS were all 100% for Stage IB, 78%, 95% and 78% for Stage II, 79%, 88% and 77% for Stage III and 58%, 57% and 43% for Stage IV.ConclusionThere has been some overall improvement in the treatment pathways, and OTT was less than the recommended 8 weeks. Our 3‐year OS, LC and DFS were comparable with international standards.
Are margin traders informed?
Authors: Lv Dayong , Wu Wenfeng 
Published: December 2019

AbstractThe literature offers contradictory views on the informativeness of margin trading using various measures of information content. Utilising data from a Chinese margin‐trading pilot programme initiated in 2010, this paper investigates whether margin traders are informed by directly examining the return predictability of margin‐trading activity. We find that margin‐trading activities cannot positively predict future stock returns. Moreover, we explore some non‐informational trading strategies used by margin traders, e.g., positive‐feedback strategies and moving‐average trading rules. These results suggest that margin traders are noise traders rather than informed traders, and margin trading conveys no new firm‐specific information.
Alcohol consumption is associated with widespread changes in blood DNA methylation: Analysis of cross‐sectional and longitudinal data
Authors: Dugué Pierre‐Antoine , Wilson Rory , Lehne Benjamin , Jayasekara Harindra , Wang Xiaochuan , Jung Chol‐Hee , Joo JiHoon E. , Makalic Enes , Schmidt Daniel F. , Baglietto Laura , Severi Gianluca , Gieger Christian , Ladwig Karl‐Heinz , Peters Annette , Kooner Jaspal S. , Southey Melissa C. , English Dallas R. , Waldenberger Melanie , Chambers John C. , Giles Graham G. , Milne Roger L. 
Published: December 2019

AbstractDNA methylation may be one of the mechanisms by which alcohol consumption is associated with the risk of disease. We conducted a large‐scale, cross‐sectional, genome‐wide DNA methylation association study of alcohol consumption and a longitudinal analysis of repeated measurements taken several years apart. Using the Illumina HumanMethylation450 BeadChip, DNA methylation was measured in blood samples from 5606 Melbourne Collaborative Cohort Study (MCCS) participants. For 1088 of them, these measures were repeated using blood samples collected a median of 11 years later. Associations between alcohol intake and blood DNA methylation were assessed using linear mixed‐effects regression models. Independent data from the London Life Sciences Prospective Population (LOLIPOP) (N = 4042) and Cooperative Health Research in the Augsburg Region (KORA) (N = 1662) cohorts were used to replicate associations discovered in the MCCS. Cross‐sectional analyses identified 1414 CpGs associated with alcohol intake at P < 10−7, 1243 of which had not been reported previously. Of these novel associations, 1078 were replicated (P < .05) using LOLIPOP and KORA data. Using the MCCS data, we also replicated 403 of 518 previously reported associations. Interaction analyses suggested that associations were stronger for women, non‐smokers, and participants genetically predisposed to consume less alcohol. Of the 1414 CpGs, 530 were differentially methylated (P < .05) in former compared with current drinkers. Longitudinal associations between the change in alcohol intake and the change in methylation were observed for 513 of the 1414 cross‐sectional associations. Our study indicates that alcohol intake is associated with widespread changes in DNA methylation across the genome. Longitudinal analyses showed that the methylation status of alcohol‐associated CpGs may change with alcohol consumption changes in adulthood.
Components evaluation of a web‐based personalized normative feedback intervention for alcohol use among college students: a pragmatic randomized controlled trial with a dismantling design
Authors: Bedendo Andre , McCambridge Jim , Gaume Jacques , Souza Altay A. L. , Formigoni Maria Lucia O. S. , Noto Ana R. 
Published: December 2019

AbstractAimsTo evaluate the effects of the two main components of a personalized normative feedback (PNF) [normative feedback only (NFO); and consequences feedback only (CFO)] compared with the full intervention (PNF) in reducing alcohol use and consequences.DesignThree‐arm pragmatic randomized controlled trial with dismantling design and 1‐, 3‐ and 6‐month follow‐ups.SettingWeb‐based among Brazilian college students.ParticipantsCollege students (aged 18–30 years) who reported alcohol use in the last 3 months (n = 5476).Interventions(1) Full PNF (a) drinking profile; (b) normative comparisons; (c) practical costs; (d) alcohol consequences; (e) strategies to decrease risks; (2) NFO components (a), (b) and (e); or (3) CFO components (c), (d) and (e).MeasurementsThe primary outcome was change in Alcohol Use Disorders Identification Test (AUDIT) score; secondary outcomes were the number of alcohol consequences, drinking frequency and typical/maximum number of drinks. We used mixed models with multiple imputation and a pattern‐mixture model to account for attrition. Subgroup analyses considered participant motivation to know more about their drinking (less motivated versus motivated).FindingsDismantled components reduced rather than increased AUDIT score compared to full PNF, with significant effects for NFO at 1 month [b = –0.23, 95% confidence interval (CI) = –0.46; –0.002] and for CFO at 3 months (b = –0.33, 95% CI = –0.62; –0.03). Compared with PNF, NFO reduced the number of alcohol consequences at 1 month (b = –0.16, 95% CI = –0.25; –0.06) and drinking frequency at 3 months (b = –0.42, 95% CI = –0.79; –0.05), but increased the number of typical drinks at 6 months (b = 0.38, 95% CI = 0.04; 0.72). CFO reduced drinking frequency at 3 months (b = –0.37, 95% CI = –0.73; –0.01). Attrition models confirmed all results, except for the NFO effect on typical drinks and drinking frequency. Subgroup analyses indicated superiority of dismantled components among the students less motivated in knowing more about their drinking.ConclusionsThere was no evidence that either the normative or the consequences components of a web‐based personalized normative feedback intervention to reduce alcohol use and its consequences contributed to intervention effects. There was some evidence of adverse effects of personalized normative feedback, and these results were driven by 20% of participants who were less motivated in knowing more about their drinking.