bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stress and productivity in workers of textile companies
Authors: Ramos-Galarza Carlos , Acosta-Rodas Pamela 
Published: August 2018

Purpose
The purpose of this paper is to analyze the relationship between two psychological factors which are occupation stress and productivity, that influence workers immerse into textile production labor context.

Design/methodology/approach
This study has a quantitative methodology, is cross-sectional, nonexperimental and with an explicative scope.

Findings
The results of this research allow to identify that occupational stress levels cause a negative impact on worker’s productivity in the textile production area.

Research limitations/implications
There are two limitations in this study, first is the participant’s subjectivity when filling the questionnaires because it was self-reported and the second limitation is that the sample is specifically from a city of a South American country.

Practical implications
The results of this investigation show as an evidence the need for psychological intervention within companies for occupational stress, because it will impact in a negative way the textile production of a company, which will guide future research making possible to develop and apply psychological treatment programs pro employee’s mental health.

Social implications
A textile company with low productivity will bring strong economic losses and even bankruptcy, although, thanks to this study it was possible to identify that occupational stress will have a negative impact in productivity, drawing an important based line to future research, looking to improve worker’s performance and hence, companies’ profits contributing to social economic processes.

Originality/value
In general, companies of textile industry (as many others from capitalist economic system), make substantial investments in technology instruments, specialized workers, machines’ maintenance and reparation, marketing, etc. to improve their production standards, however, there is a low investment on worker’s mental health, as it has been found in this study it generates a strong negative impact on its productivity.
Expatriated dual-career partners: hope and disillusionment
Authors: Kierner Agnieszka 
Published: August 2018

Purpose
The purpose of this paper is to employ hope theory to explain the psychological process underlying the dual-career couple (DCC) family unit, during the full cycle of international relocation.

Design/methodology/approach
This qualitative study is based on in-depth interviews with 28 international dual-careerists. Hope theory is used to describe the evolution of their goals, pathways and agency thinking before, during, and after expatriation.

Findings
The study reveals that dual-career partners initially build goals, pathways, and agency to support family relocation to facilitate the expatriate’s career goals, but later the absence of self-career realization means hope can diminish and the partner’s career comes to drive the goals set for repatriation. Future assignments would be considered only if both partners can arrange relevant employment for themselves.

Practical implications
Companies should develop DCC support practices such as designing shorter assignments, ensuring that partners have work visas and support job seeking. Ideally, multinational corporations would employ the spouse in the DCC.

Originality/value
The study is one of the first to explore the evolution of the goals of DCCs during the entire expatriation process.
A community EQUIP treatment group
Authors: Tearle Shaw , Holt Rachel R. 
Published: August 2018

PurposeThere is a pressing need to develop community forensic support for adults with intellectual disabilities and a high risk to others. Equipping youth to help one another (EQUIP) was developed for juvenile offenders in the USA and is used across Europe and North America. The purpose of this paper is to evaluate an adapted community model of EQUIP for men with intellectual disabilities and a history of sexual offending.Design/methodology/approachA case series design was used. The adapted EQUIP group ran for one session per week over ten months, with each participant accompanied by a support worker. Six men living in the community with intellectual disabilities and a history of sexual offending completed the programme.FindingsAnalysis of the results suggests that this adapted version of EQUIP produced similar results to the programme delivered in an inpatient setting. Participants’ reasoning and problem-solving abilities were improved post-intervention. Satisfaction levels from participant and their support workers were high. There was no evidence of recidivism during the ten months the group ran.Research limitations/implicationsThe case series design utilised only allows the conclusion that the changes above occurred at the same time as the group. Further research is needed to ascertain whether it is likely that the intervention resulted in the changes.Practical implicationsThere is a pressing need to develop the evidence base for interventions offered in the community to people with intellectual disabilities and a history of offending. This study provides some evidence that EQUIP can be adapted to suit this population.Social implicationsThe availability of community interventions may, over time, decrease the need for detention in inpatient settings. This is in line with the transforming care agenda.Originality/valueThis is the first published research into use of EQUIP in the community with adult participants with intellectual disabilities.
30 Days Wild: who benefits most?
Authors: Richardson Miles , McEwan Kirsten , Garip Gulcan 
Published: August 2018

PurposeThere is a need to provide interventions to improve well-being that are accessible and cost-effective. Interventions to increase engagement with nature are coming to the fore. The Wildlife Trusts 30 Days Wild campaign shows promise as a large-scale intervention for improving public engagement with nature for well-being. The paper aims to discuss this issue.Design/methodology/approachIn total, 273 people fully participated in a repeated measures evaluation comparing baseline measures of nature connection, health, happiness and conservation behaviours with measures post-30 days and 3 months.FindingsThere were sustained and significant increases for scores in nature connection, health, happiness and conservation behaviours. Those with lower scores at baseline in nature connection, conservation behaviours and happiness showed the most benefit. Older participants and those with higher baseline scores in conservation behaviours were the most likely to sustain their engagement with the campaign.Research limitations/implicationsAlthough the design and defined outcomes meet criteria for public health interventions, the self-reported measures, self-selecting sample and attrition are limitations.Originality/valueThe significant and sustained effects of the campaign on health, happiness and nature connection and conservation make this a promising intervention for improving human’s and nature’s well-being. The large community sample and naturalistic setting for the intervention make these data relevant to future interventions and policy.
The precautionary principle and unintended consequences
Authors: Miller Holmes E. , Engemann Kurt J. 
Published: August 2018

PurposeAll technologies have intended and unintended consequences, both favorable and unfavorable. Because the risks from implementing a technology may outweigh its rewards, the precautionary principle, illustrated by the maxim “better safe than sorry”, often is applied. Yet, the precautionary principle itself may have unintended consequences. This paper aims to discuss the precautionary principle and unintended consequences and present a model for analyzing the resulting implications.Design/methodology/approachA deficiency in applying the precautionary principle often is forgoing a quantitative analysis. In this paper, the authors apply decision analysis and decision analytic methodologies. Specifically, they present a decision model which can be used when analyzing the consequences of using the precautionary principle. The methodology incorporates decision-makers’ attitude in the determination of the preferred decision policy. The authors illustrate the methodology by determining a decision policy regarding the application of the precautionary principle in a situation with potential unintended consequences.FindingsThe findings indicate that a generic decision model structure for assessing the use of the precautionary principle, as illustrated in a decision tree, can be used when implementing a new technology. The results of the analysis indicate that a decision-maker’s attitude plays an important role in determining a preferred decision policy for this dynamic decision situation.Originality/valueThis research breaks new ground by proposing a decision analytic methodology where quantitative analysis can be applied to address problems where technologies are implemented with unintended consequences and where the precautionary principle is applied.
From practice to research at Flinders University Library: sustaining a research culture
Authors: Walkley Hall Liz 
Published: August 2018

Purpose
The purpose of this paper is to describe the mechanisms used by Flinders University Library to sustain a culture of research. Flinders University Library has been supporting its librarians to undertake research projects using a formal support group mechanism, known as the Research Working Group (RWG), sanctioned and resourced by library executive since 2010. This established a culture of practitioner-based research in the library, with the librarians developing a greater understanding of both the theory and practice of qualitative and quantitative methods by undertaking their own research projects. However, sustaining a research this culture brings new challenges which this paper now explores.

Design/methodology/approach
This case study describes the methods used at Flinders University Library in sustaining a culture of practitioner-research. This arose from a review of the formal support structure, as well as a previous study that surveyed staff responses to the RWG.

Findings
As academic libraries face ongoing challenges and engage more broadly with research support, librarians need experiential knowledge of research. In the case of Flinders University Library, the author has found that, in seeking to sustain a research culture, the author has needed to adapt the support mechanisms, including a greater emphasis on peer support, a different model of resourcing and more inclusivity for all staff to engage with research work.

Research limitations/implications
This paper is limited by its scope as a single-institution case study; however, there are opportunities for other academic libraries to learn from this experience.

Originality/value
Establishing a culture of practice-based research is not an easy undertaking, requiring dedication from all parties whether management, practitioner-researchers or mentors. While there are many examples in the literature of case studies examining the establishment of research culture, few if any take the next steps to explore how to maintain it. This paper seeks to fill that gap.
A new EDAS-based in-sample-out-of-sample classifier for risk-class prediction
Authors: Ouenniche Jamal , Uvalle Perez Oscar Javier , Ettouhami Aziz 
Published: August 2018

PurposeNowadays, the field of data analytics is witnessing an unprecedented interest from a variety of stakeholders. The purpose of this paper is to contribute to the subfield of predictive analytics by proposing a new non-parametric classifier.Design/methodology/approachThe proposed new non-parametric classifier performs both in-sample and out-of-sample predictions, where in-sample predictions are devised with a new Evaluation Based on Distance from Average Solution (EDAS)-based classifier, and out-of-sample predictions are devised with a CBR-based classifier trained on the class predictions provided by the proposed EDAS-based classifier.FindingsThe performance of the proposed new non-parametric classification framework is tested on a data set of UK firms in predicting bankruptcy. Numerical results demonstrate an outstanding predictive performance, which is robust to the implementation decisions’ choices.Practical implicationsThe exceptional predictive performance of the proposed new non-parametric classifier makes it a real contender in actual applications in areas such as finance and investment, internet security, fraud and medical diagnosis, where the accuracy of the risk-class predictions has serious consequences for the relevant stakeholders.Originality/valueOver and above the design elements of the new integrated in-sample-out-of-sample classification framework and its non-parametric nature, it delivers an outstanding predictive performance for a bankruptcy prediction application.
Frugal supply chains: a managerial and societal perspective
Authors: Fulconis François , Pache Gilles , Reynaud Emmanuelle 
Published: August 2018

PurposeThe paper aims to introduce the issue of supply chain management in the context of increasingly rare and costly resources and to define the notion of frugal supply chain, in particular, in reference to the development of circular economy. The challenges of frugal supply chain are detailed for a set of private and public stakeholders.Design/methodology/approachAs a programmatic viewpoint, this paper aims at developing debates regarding the future of supply chains, building upon current technical and managerial innovations.FindingsFrugal supply chains constitute a new business perspective. It transforms the way value creation process is considered, in reference to the models of circular economy, and the systems in which companies evolve. The circular economy represents many opportunities for new forms of growth in the context of rare resources, and it raises several challenges for a variety of stakeholders, more or less, involved in the management of closed loop supply chains.Practical implicationsFrugal strategies in a supply chain context may provide both a source of competitive advantage for companies and an enhancement of their commitment to society.Social implicationsThe practices described in the paper aim at stimulating a new view of logistics management, based on the principles of sustainable development. Frugal supply chains offer the possibility of reflecting on a more moderate, sensible and effective use of several commons by taking part in the conservation of rare resources for future generations.Originality/valueThis viewpoint introduces the concept of frugal supply chains, rarely approached in the literature, and it offers the opportunity to open debates on managerial and societal challenges linked to logistics strategies and, more broadly, to inter-organizational relations.
Intraspecific body size variability in soil organisms at a European scale: Implications for functional biogeography
Authors: Bonfanti Jonathan , Hedde Mickaël , Joimel Sophie , Krogh Paul Henning , Violle Cyrille , Nahmani Johanne , Cortet Jérôme 
Published: August 2018

Abstract

Investigating the functional facet of biodiversity provides ecologists with a deeper understanding of community assembly and ecosystem processes, from local to biogeographical scales. A central assumption in functional ecology is that interspecific trait variability is higher than intraspecific variability. The “stable species hierarchy” hypothesis states that for similar species found in different environmental conditions, their species trait ranking is conserved. In this study, we applied this trait hierarchy concept prevalent in plant ecology to the growing field of soil functional ecology, for which newly developed trait databases are being increasingly used. However, to date there have been few attempts to test for patterns of intraspecific trait variability (ITV) in these databases.

We thus aimed to characterize how such patterns might influence (a) a species hierarchy based on trait values and (b) the conclusions of a trait‐based analysis at a community level. To examine this, we used Collembola body size data (extracted from the BETSI database) as model trait. The source consisted of four regional trait datasets (Poland, Scandinavia, Spain and UK) and one dataset for which species traits are defined at a continental (European) scale.

We found that, firstly, species were consistently ranked in all the trait datasets, although slight differences were observed between continental and northern European (i.e. Scandinavia and UK) trait datasets. In the two northern datasets, body size was higher (ca. 10%), indicating an intraspecific body size gradient from temperate to colder northern regions that we assumed could be explained by latitudinal patterns.

Secondly, using selected published species abundance matrices (from experimental studies), we calculated the community‐weighted mean body size using various trait datasets. The findings showed that the slight discrepancies observed between trait datasets can lead to different conclusions.

This work confirms that properly defining the extent of ITV in databases is of primary importance to ensure robust conclusions. This is particularly important for databases hosting large‐scale data that might be influenced by biogeographical patterns as latitudinal gradients. We recommend using a local regional trait dataset when available or, if not, a continental trait dataset. As trait databases are now commonly used tools for performing trait‐based analyses, it is crucial to carefully select the data used to make inferences.

A plain language summary is available for this article.
Inverse problem for Goupillaud‐layered earth model and dynamic deconvolution
Authors: Bardan Virgil , Robinson Enders A. 
Published: August 2018

ABSTRACTThis paper presents, in a tutorial form, some analytical inversion techniques for the Goupillaud‐layered earth model. Finding the reflection coefficients from the reflection seismogram is the inverse problem for the model. For this reason we present a thorough description of the inverse problem for the Goupillaud model, two solutions to solve the inverse scattering problem using linear discrete equations and the solution obtained using the classic dynamic deconvolution method. The inversion is achieved using Robinson's polynomials Pk(z), Qk(z), Ak(z) and their reverse polynomials, as well as some properties of the model (the Lorentz transformation and the Einstein subtraction formula). The method of dynamic deconvolution, which makes the inversion of the model very simple computationally, is based on the physical structure of the reflection seismogram. We present the classic dynamic deconvolution algorithm for the non‐free‐surface Goupillaud model to show that the dynamic deconvolution method can provide efficient discrete procedures for the inversion. For this reason, though the inverse dynamic deconvolution procedures are old algorithms, they could be useful today for solving inverse scattering problems arising in exploration geophysics and various fields.
Ecosystem function in predator–prey food webs—confronting dynamic models with empirical data
Authors: Curtsdotter Alva , Banks H. Thomas , Banks John E. , Jonsson Mattias , Jonsson Tomas , Laubmeier Amanda N. , Traugott Michael , Bommarco Riccardo 
Published: August 2018

Abstract

Most ecosystem functions and related services involve species interactions across trophic levels, for example, pollination and biological pest control. Despite this, our understanding of ecosystem function in multitrophic communities is poor, and research has been limited to either manipulation in small communities or statistical descriptions in larger ones.

Recent advances in food web ecology may allow us to overcome the trade‐off between mechanistic insight and ecological realism. Molecular tools now simplify the detection of feeding interactions, and trait‐based approaches allow the application of dynamic food web models to real ecosystems. We performed the first test of an allometric food web model's ability to replicate temporally nonaggregated abundance data from the field and to provide mechanistic insight into the function of predation.

We aimed to reproduce and explore the drivers of the population dynamics of the aphid herbivore Rhopalosiphum padi observed in ten Swedish barley fields. We used a dynamic food web model, taking observed interactions and abundances of predators and alternative prey as input data, allowing us to examine the role of predation in aphid population control. The inverse problem methods were used for simultaneous model fit optimization and model parameterization.

The model captured >70% of the variation in aphid abundance in five of ten fields, supporting the model‐embodied hypothesis that body size can be an important determinant of predation in the arthropod community. We further demonstrate how in‐depth model analysis can disentangle the likely drivers of function, such as the community's abundance and trait composition. Analysing the variability in model performance revealed knowledge gaps, such as the source of episodic aphid mortality, and general method development needs that, if addressed, would further increase model success and enable stronger inference about ecosystem function.

The results demonstrate that confronting dynamic food web models with abundance data from the field is a viable approach to evaluate ecological theory and to aid our understanding of function in real ecosystems. However, to realize the full potential of food web models, in ecosystem function research and beyond, trait‐based parameterization must be refined and extended to include more traits than body size.