bluuebunny/crossref_metadata_2025_split huggingface dataset:
A systematic approach to diagnose the current status of quality management systems and business processes
Authors: Garza-Reyes Jose Arturo 
Published: December 2017

Purpose
The purpose of this paper is to present a systematic approach to conduct a diagnosis of the current status of a company’s quality management systems (QMS) and business processes.

Design/methodology/approach
The approach proposed is based upon the assessment of the maturity level of a company’s QMS, for which a “maturity diagnostic instrument” is also proposed, a self-assessment exercise using a business excellence model and a first-party quality audit.

Findings
The integration of a QMS’ maturity assessment, a self-assessment exercise and a quality audit may provide a more thorough evaluation of various company’s systems and operations. This paper provides organisations, and their managers, with a systematic approach to help them understand better the current performance of their QMSs and business processes.

Originality/value
This paper’s main contribution consists in the proposal of a novel approach for organisation to measure and understand the status of their QMS and business processes. Subsequently, better management decisions to improve a company’s operations can be taken.
Ramping up
Authors: Lampert Cory 
Published: December 2017

Purpose
Digital library managers are faced with growing pressure to digitize materials efficiently on a larger scale. This paper aims to address the staffing and other resources needed to evolve smaller scope operations into teams capable of outputting larger-scale production.

Design/methodology/approach
Much of the current literature focuses on philosophy of these projects and issues of metadata and user access. In contrast, this article seeks to supply the much-needed practical information for digital library managers who need to take immediate action to meet new mandates and reach higher target goals within the constraints of limited resources.

Findings
The author will provide an overview of resources needed to increase digitization output and provide an analysis of three key resources that can be targeted by digital library managers in a range of environments. These resources will be examined with practical advice given on how new staffing configurations, outsourcing of materials and high-efficiency equipment can be implemented in phases.

Originality/value
This paper examines the gap between smaller-scale digitization and successful large-scale projects, and offers several possible scenarios for organizations to consider as they choose to move forward in a way that suits their goals. The focus of this study is neither on the rationale for large-scale digitization nor on the detailed specifications for large-scale digitization workflows. Rather, it will outline the types of resources (internal and external), decision points and specific practical strategies for digital library managers seeking to start ramping up the production.
Librarian as data migrator: a functional pathway from Millennium to Koha
Authors: Todd Christopher R. 
Published: December 2017

Purpose
This case study aims to demonstrate that in-house integrated library systems migration can be accomplished by a dedicated team of librarians without advanced tools or prior experience with data migration or systems integration.

Design/methodology/approach
This migration was accomplished by academic librarians using freely available tools: OpenOffice Calc, MarcEdit and the Koha Integrated Library System.

Findings
The data migration pathway presented here was developed and successfully used to transfer over 48,000 records in less than two months.

Practical implications
This case study presents an original process that is particularly effective for smaller libraries.

Originality/value
While similar case studies exist, most employ expensive third-party contractors for data migration or rely heavily on institutional IT departments.
Observed difficulties during implementation of quality management systems in Brazilian manufacturing companies
Authors: Anholon Rosley , Simon Rampasso Izabela , Cooper Ordonez Robert Eduardo , Silva Dirceu da , Quelhas Osvaldo Luiz Gonçalves , Leal Filho Walter 
Published: December 2017

PurposeThe purpose of this paper is to analyze the difficulties observed during implementation of quality management systems (QMSs) in Brazilian manufacturing companies.Design/methodology/approachThe methodological strategy used was a literature review, a panel of experts and a survey. Through the literature review, 15 difficulties associated with the implementation of QMS were raised; these were organized into latent variables by specialists in the subject and served as the basis for a survey. In total, 123 professionals working with quality management in manufacturing companies participated in the research and the data collected were analyzed by means of second-order confirmatory factorial analysis.FindingsThe results allowed the validation of the 15 difficulties observed in the literature, and it was evidenced that these difficulties are structured in four latent variables as follows: difficulties associated with employees; difficulties associated with QMS structuration; difficulties associated with integration; and difficulties resulting from the planning.Research limitations/implicationsThe main limitation of this research is the sample size, because 123 professionals that work with quality management in manufacturing companies participated in the research. It should be noted, however, that all parameters evaluated through the second-order confirmatory factorial analysis were validated.Practical implicationsThe findings have great value for both quality management professionals, who may use those findings to guide the pre-implementation phase of a QMS, and researchers, who may use those findings as a foundation for future studies, in the development of models or tools related to QMS implementation.Originality/valueNo other paper was found on the scientific basis with the same focus for Brazilian manufacturing companies, thus demonstrating originality. The value of the research lies in the fact that the results presented here, statistically validated, may be used by other researchers and market professionals.
Signing up for voluntary simplicity – consumer motives and effects
Authors: Pravet Irina , Holmlund Maria 
Published: December 2017

PurposeThe purpose of this paper is to examine consumers’ motives in signing up for a week-long voluntary simplicity experiment, No Impact Week (NIW), and reducing their consumption during and afterwards.Design/methodology/approachThe empirical data come from informants who filled out a pre-week email inquiry, completed a daily diary template centred on eight themes, responded to a post-week email inquiry and answered follow-up questions one month after completion.FindingsThose who participate in NIW were motivated by personal factors, such as curiosity and desire to be more aware, to learn tips for eco-living applicable to daily life and to challenge themselves. People who chose not to participate did so largely because they did not understand what would be required of them. Participants incorporated the experiment into their lives, but the outcomes remained dependent on existing structures, in this case environmental and personal factors. The findings indicate the existence of a value–action gap and an awareness–behaviour gap.Research limitations/implicationsWhile a mismatch between consumers’ consumption values and behaviour is not uncommon, enabling behaviour in line with values is crucial for reducing consumption. Although voluntary simplicity is a drastic form of consumption reduction that appeals only to a small but growing niche of people, the motives for and consequences of engaging in it highlight pressing issues of consumer behaviour and consumption.Originality/valueThe study is unique in that it links voluntary simplicity to a social marketing campaign that should appeal to those with a favourable attitude towards taking action and reducing their consumption.
Design optimization of key components’ spatial position of unilateral axle counting sensor
Authors: Tong Weiming , Liu Yanlong , Jin Xianji , Li Zhongwei , Guan Jian 
Published: December 2017

PurposeThe unilateral axle counting sensor is an important railway signal device that detects a train. For efficient and stable detection, the amplitude of induced electromotive force and its changes must be big enough. Therefore, the purpose of this study is to find a way to design and optimize the sensor structure quickly and accurately.Design/methodology/approachWith the help of extensive electromagnetic field calculations, the study puts forward a modified model based on the finite element method, establishes an independent air domain around the sensor, wheel and the railway and adopts a unique grid division method. It offers a design optimization method of the induction coil angles and its spatial location with respect to the excitation coil by using the combination weighting algorithm.FindingsThe modified modeling method can greatly reduce the number of finite element mesh and the operation time, and the method can also be applied to other areas. The combination weighting algorithm can optimize the structure of the sensor quickly and accurately.Originality/valueThis study provides a way to design and optimize the structure of the sensor and a theoretical basis for the development. The results can improve and expand the technology of the axle counting sensor.
Learning on the move
Authors: Janand Anne , Notais Amélie 
Published: December 2017

Purpose
This paper aims to explore the types of learning engendered by internal mobility (IM) by referring to the principles elaborated by Bateson (1972).

Design/methodology/approach
A qualitative methodology is followed with interviews among 50 professionals working at four large French firms.

Findings
A system of classification for IM is proposed, namely, replication, adaptation, innovation and revolution.

Practical implications
The identification of these categories invites human resource managers to reconsider the traditional career paths.

Originality/value
This paper brings a new perspective on the possible link between learning and IM and questions what employees really learn thanks to their moves.
Intergenerational learning and knowledge transfer – challenges and opportunities
Authors: Rupčić Nataša 
Published: December 2017

Purpose
The purpose of this paper is to highlight challenges and opportunities that surround the process of intergenerational learning and knowledge transfer. Several options in this regard have been discussed from the managerial and employee perspective.

Design/methodology/approach
The systems approach has been implemented to identify options of intergenerational learning and knowledge transfer that could be valuable when developing a strong individual and organizational body of knowledge with the purpose to avoid the “knowledge crash.”

Findings
A review and analysis regarding intergenerational diversity, especially in the light of information and communication technology and social media, has been proposed along with the discussion on possible intergenerational knowledge transfer practices and methods of developing learning agility in all generations though engaging in internal mobility and building communities of practice and learning.

Research limitations/implications
Conclusions and remarks provided in the paper need further empirical testing and validation.

Practical implications
Implications for practitioners, especially mangers, have been identified regarding recommendations for implementing intergenerational knowledge transfer solutions which could benefit all stakeholders – not only younger and senior employees but also managers responsible for pursuing enterprise development based on continuous learning and knowledge sharing.

Social implications
Implementation of suggestions provided in the paper regarding intergenerational knowledge transfer and learning could result in significant benefits in terms of less intergenerational conflict and stress and greater organizational working cohesion as well as further advancements in organizational learning and knowledge management.

Originality/value
Challenges that surround the process of intergenerational learning and knowledge transfer have been identified along with options to manage this complicated and often delicate processes from the managerial and employee perspective.
Community Narratives of Disaster Risk and Resilience: Implications for Government Policy
Authors: Drennan Lex 
Published: December 2017

AbstractThe paper explores how subjective risk perception intersects with government disaster management policy that is premised on an objective approach to risk assessment and mitigation. It finds that the presumption of objective risk management underpinning government policy is fundamentally at odds with community risk perceptions. This paper applies the techniques of ethnographic study to explore how communities understand and frame risk narratives. Using qualitative methods, the paper constructs the risk narratives of residents of Rocklea, Brisbane, following their experience with the 2011 Brisbane Flood. These risk narratives are considered in light of the Australian National Strategy for Disaster Resilience and recommendations are accordingly made for government disaster management policy.
Barriers to Care Among Transgender and Gender Nonconforming Adults
Authors: GONZALES GILBERT , HENNING‐SMITH CARRIE 
Published: December 2017

Policy Points:
Transgender and gender nonconforming (GNC) adults may experience barriers to care for a variety of reasons, including discrimination and lack of awareness by providers in health care settings.
In our analysis of a large, population‐based sample, we found transgender and GNC adults were more likely to be uninsured and have unmet health care needs, and were less likely to have routine care, compared to cisgender (nontransgender) women. Our findings varied by gender identity.
More research is needed on transgender and GNC populations, including on how public policy and provider awareness affects health care access and health outcomes differentially by gender identity.

ContextVery little population‐based research has examined health and access to care among transgender populations. This study compared barriers to care between cisgender, transgender, and gender nonconforming (GNC) adults using data from a large, multistate sample.MethodsWe used data from the 2014‐2015 Behavioral Risk Factor Surveillance System to estimate the prevalence of having no health insurance, unmet medical care needs due to cost, no routine checkup, and no usual source of care for cisgender women (n = 183,370), cisgender men (n = 131,080), transgender women (n = 724), transgender men (n = 449), and GNC adults (n = 270). Logistic regression models were used to estimate odds ratios (OR) and 95% confidence intervals (CI) for each barrier to care while adjusting for sociodemographic characteristics.FindingsTransgender and GNC adults were more likely to be nonwhite, sexual minority, and socioeconomically disadvantaged compared to cisgender adults. After controlling for sociodemographic characteristics, transgender women were more likely to have no health insurance (OR = 1.60; 95% CI = 1.07‐2.40) compared to cisgender women; transgender men were more likely to have no health insurance (OR = 2.02; 95% CI = 1.25‐3.25) and no usual source of care (OR = 1.84; 95% CI = 1.18‐2.88); and GNC adults were more likely to have unmet medical care needs due to cost (OR = 1.93; 95% CI = 1.02‐3.67) and no routine checkup in the prior year (OR = 2.41; 95% CI = 1.41‐4.12).ConclusionsTransgender and GNC adults face barriers to health care that may be due to a variety of reasons, including discrimination in health care, health insurance policies, employment, and public policy or lack of awareness among health care providers on transgender‐related health issues.
Edible Coating Using a Chitosan‐Based Colloid Incorporating Grapefruit Seed Extract for Cherry Tomato Safety and Preservation
Authors: Won Jin Sung , Lee Seung Jo , Park Hyeon Hwa , Song Kyung Bin , Min Sea C. 
Published: December 2017

AbstractGrapefruit seed extract (GSE)‐containing chitosan‐based coating was developed and applied to cherry tomatoes to protect them from Salmonella invasion and improve their storability. The coating colloids were produced by mixing a chitosan colloid (1% [w/w] chitosan) with GSE at various concentrations (0.5%, 0.7%, 1.0%, and 1.2% [w/w]) using high‐shear mixing (10000 rpm, 2 min). Coatings with chitosan colloids containing GSE at 0.0%, 0.5%, 0.7%, and 1.0% (w/w) inactivated Salmonella on cherry tomatoes by 1.0 ± 0.3, 1.2 ± 0.3, 1.6 ± 0.1, and 2.0 ± 0.3 log CFU/cherry tomato, respectively. Coatings both with and without GSE (1.0%) effectively inhibited the growth of Salmonella and total mesophilic aerobes, reduced CO2 generation, and retarded titratable acidity decrease during storage at 10 and 25 °C. The advantage of incorporating GSE in the formulation was demonstrated by delayed microorganism growth and reduced weight loss at 25 °C. The chitosan‐GSE coating did not affect lycopene concentration, color, and sensory properties (P > 0.05). Chitosan‐GSE coating shows potential for improving the microbiological safety and storability of cherry tomatoes, with stronger efficacy at 25 °C than that of chitosan coating without GSE.Practical ApplicationA novel chitosan coating containing grape fruit seed extract (GSE) improved the microbiological safety against Salmonella and storability of cherry tomatoes without altering their flavor, demonstrating its strong potential as an effective postharvest technology. Chitosan coating containing GSE might be preferable over chitosan coating without GSE for application to tomatoes that are stored at room temperature in that it more effectively inhibits microbial growth and weight loss than the coating without GSE at 25 °C.
Bioactive Peptides Derived from Seaweed Protein and Their Health Benefits: Antihypertensive, Antioxidant, and Antidiabetic Properties
Authors: Admassu Habtamu , Gasmalla Mohammed Abdalbasit. A. , Yang Ruijin , Zhao Wei 
Published: December 2017

AbstractCardiovascular diseases and diabetes are the biggest causes of death globally. Therefore, prevention of these diseases is a focus of pharmaceuticals and functional food manufacturers. This review summarizes recent research trends and scientific knowledge in seaweed protein‐derived peptides with particular emphasis on production, isolation and potential health impacts in prevention of hypertension, diabetes and oxidative stress. The current status and future prospects of bioactive peptides are also discussed. Bioactive peptides have strong potential for use in therapeutic drug and functional food formulation in health management strategy, especially cardiovascular disease and diabetes. Seaweeds can be used as sustainable protein sources in the production of these peptide‐based drugs and functional foods for preventing such diseases. Many studies have reported that peptides showing angiotensin converting enzyme inhibition, antihypertensive, antioxidative and antidiabetics activities, have been successfully isolated from seaweed. However, further research is needed in large‐scale production of these peptides, efficient isolation methods, interactions with functional foods and other pharmaceuticals, and their ease to digestion in in vivo studies and safety to validate the health benefits of these peptides.
Incorporating biotic interactions in the distribution models of African wild silk moths (Gonometa species, Lasiocampidae) using different representations of modelled host tree distributions
Authors: Raath Morgan Jade , le Roux Peter Christiaan , Veldtman Ruan , Greve Michelle 
Published: December 2017

AbstractBiotic interactions influence species niches and may thus shape distributions. Nevertheless, species distribution modelling has traditionally relied exclusively on environmental factors to predict species distributions, while biotic interactions have only seldom been incorporated into models. This study tested the ability of incorporating biotic interactions, in the form of host plant distributions, to increase model performance for two host‐dependent lepidopterans of economic interest, namely the African silk moth species, Gonometa postica and Gonometa rufobrunnea (Lasiocampidae). Both species are dependent on a small number of host tree species for the completion of their life cycle. We thus expected the host plant distribution to be an important predictor of Gonometa distributions. Model performance of a species distribution model trained only on abiotic predictors was compared to four species distribution models that additionally incorporated biotic interactions in the form of four different representations of host plant distributions as predictors. We found that incorporating the moth–host plant interactions improved G. rufobrunnea model performance for all representations of host plant distribution, while for G. postica model performance only improved for one representation of host plant distribution. The best performing representation of host plant distribution differed for the two Gonometa species. While these results suggest that incorporating biotic interactions into species distribution models can improve model performance, there is inconsistency in which representation of the host tree distribution best improves predictions. Therefore, the ability of biotic interactions to improve species distribution models may be context‐specific, even for species which have obligatory interactions with other organisms.
Assessing the fit of finite mixture distributions
Authors: Suesse Thomas , Rayner John C.W. , Thas Olivier 
Published: December 2017

SummaryMixture distributions have become a very flexible and common class of distributions, used in many different applications, but hardly any literature can be found on tests for assessing their goodness of fit. We propose two types of smooth tests of goodness of fit for mixture distributions. The first test is a genuine smooth test, and the second test makes explicit use of the mixture structure. In a simulation study the tests are compared to some traditional goodness of fit tests that, however, are not customised for mixture distributions. The first smooth test has overall good power and generally outperforms the other tests. The second smooth test is particularly suitable for assessing the fit of each component distribution separately. The tests are applicable to both continuous and discrete distributions and they are illustrated on three medical data sets.