bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling of airgap flux density for the study of stator core vibration in low speed synchronous machines
Authors: De Barros Allan , Chabu Ivan 
Published: June 2020

Purpose
This paper aims to develop models and simulations focused on the prediction of electromagnetic forces acting on the stator core of a synchronous machine. It contributes to the study of stator core vibrations.

Design/methodology/approach
An analytical model based on the rotating fields’ theory including the damper winding contribution was developed. Such model allows the comprehension of airgap magnetic field distribution and the consequent pressure distribution. Focus was given to the pressure sub-harmonics due to the usual fractional winding configuration of low speed machines. A comparative numerical model was also developed and applied to an example laboratory machine. Partial validation measurements were performed.

Findings
The paper provides the predicted electromagnetic forces and the relative influences of damper winding and teeth tangential forces on each pressure harmonic. It is shown by how much such effects can influence the amplitude of pressure sub-harmonics from a fractional stator winding.

Research limitations/implications
The performed validation measurements were based on the airgap field distribution, but the resulting core vibration at load was not measured. Therefore, researchers are encouraged to perform additional tests for improved validation.

Practical implications
The obtained models and results are of great importance for the design phase of new generators and for the diagnosis process of existing machines with core vibration problems.

Originality/value
As a contribution of this paper, the magnitude of indirect effect of tangential forces and the effect of damper winding are comparatively quantified for each pressure harmonic. The given approach contributes to the relative evaluation of these effects especially on the sub-harmonics from the fractional stator winding.
An overview of tobacco control interventions in the Global South
Authors: Kumar Navin , Janmohamed Kamila , Jiang Jeannette , Ainooson Jessica , Billings Ameera , Chen Grace Q. , Chumo Faith , Cueto Lauren , Zhang Amy 
Published: June 2020

Purpose
The Framework Convention on Tobacco Control (FCTC) has been broadly successful but less so in the Global South. This paper aims to effectively design interventions that to mitigate tobacco-related harms in the Global South, further understanding of interventions in this environment will be helpful, in line with FCTC recommendations. The first objective was to locate and review all published literature relating to tobacco control interventions in the Global South. The second objective was to provide information on research trends within Global South tobacco control interventions.

Design/methodology/approach
A literature search was conducted across six databases.

Findings
Despite the FCTC detailing the significance of the research, studies are still lacking in the Global South. There are significant research gaps such as longitudinal studies, harm reduction and randomized controlled trials.

Research limitations/implications
Limitations arose from differences in study designs of reviewed studies, making it more complex to assess all studies under the same rubric.

Practical implications
Results indicate significant potential for tobacco control interventions in the Global South, potentially moving toward FCTC goals, but also highlight several areas of concern.

Originality/value
There is much evidence on the effectiveness of tobacco control in the Global North, especially in some parts of Europe and the USA. However, the evidence base in the Global South is far more limited. This paper provides an overview of Global South tobacco control interventions and suggests areas of concern, in line with the FCTC 15 years on.
A performance evaluation framework for construction and demolition waste management: stakeholder perspectives
Authors: Kim Soo Yong , Nguyen Minh V. , Luu Van Truong 
Published: June 2020

PurposeThe purpose of this paper is twofold: first, to develop a performance evaluation framework for construction and demolition waste management (CDWM); second, to investigate feasible and effective strategies to improve the CDWM performance.Design/methodology/approachA review of the literature highlighted a lack of comprehensive research to evaluate CDWM performance of key project stakeholders, like owners, contractors and consultants. After the identification of 22 performance variables through a pilot study, a first questionnaire survey was conducted to investigate the views of respondents toward CDWM performance. The 132 responses were analyzed using factor analysis to determine specific CDWM performance factors, which formed a conceptual performance evaluation framework of CDWM. Furthermore, a practical index (PI) was proposed to integrate the feasibility and effectiveness of CDWM strategies. The values of PI were employed to prioritize CDWM strategies from data collected in a second questionnaire survey.FindingsThe validated results from factor analysis revealed that the conceptual performance evaluation framework of CDWM consists of six factors; and the attitude toward CDWM emerged as the foremost critical factor. The prioritization of PI values indicated that raising CDWM awareness among construction stakeholders was the most feasible and effective strategy for CDWM.Originality/valueThis CDWM performance evaluation framework is one of the first to holistically evaluate CDWM from key stakeholder perspectives. In addition, the PI firstly enables quantitative integration of the feasibility and effectiveness of CDWM strategies.
Discovering “Insider IT Sabotage” based on human behaviour
Authors: Michael Antonia , Eloff Jan 
Published: June 2020

Purpose
Malicious activities conducted by disgruntled employees via an email platform can cause profound damage to an organization such as financial and reputational losses. This threat is known as an “Insider IT Sabotage” threat. This involves employees misusing their access rights to harm the organization. Events leading up to the attack are not technical but rather behavioural. The problem is that owing to the high volume and complexity of emails, the risk of insider IT sabotage cannot be diminished with rule-based approaches.

Design/methodology/approach
Malicious human behaviours that insiders within the insider IT sabotage category would possess are studied and mapped to phrases that would appear in email communications. A large email data set is classified according to behavioural characteristics of these employees. Machine learning algorithms are used to identify occurrences of this insider threat type. The accuracy of these approaches is measured.

Findings
It is shown in this paper that suspicious behaviour of disgruntled employees can be discovered, by means of machine intelligence techniques. The output of the machine learning classifier depends mainly on the depth and quality of the phrases and behaviour analysis, cleansing and number of email attributes examined. This process of labelling content in isolation could be improved if other attributes of the email data are included, such that a confidence score can be computed for each user.

Originality/value
This research presents a novel approach to show that the creation of a prototype that can automate the detection of insider IT sabotage within email systems to mitigate the risk within organizations.
Building brand loyalty and endorsement with brand pages: integration of the lens of affordance and customer-dominant logic
Authors: Fang Yu-Hui , Li Chia-Ying , Bhatti Zeeshan Ahmed 
Published: June 2020

PurposeNumerous companies have launched brand pages (BPs) on social networking sites to enhance customer-brand communication, cultivate the customer-brand relationship and promote brand loyalty. This study aims to investigate how BP affordances support social commerce.Design/methodology/approachThe study devises a theoretical model linking the proposed BP affordances (visibility, selectivity, persistence and interactivity) to three customer values (relationship quality, brand experience and smart shopping feeling [SSF]) to encourage brand loyalty and BP endorsement on the part of the customer.FindingsData collected from 591 respondents support all proposed hypotheses. The model explains high variances in brand loyalty and BP endorsement, indicating that relationship quality plays a more salient role in producing brand loyalty, while SSF plays a more important role in eliciting BP endorsement.Originality/valueThe study is unique in four ways. First, drawing on the lens of affordance, it proposes specific affordances for BPs and offers empirical results for their applicability. Second, by incorporating CDL into the research model, it illuminates the high explanatory power of these proposed BP affordances on the three customer values. Integrating the S-O-R model with the affordance perspective and CDL provides a more complete picture of the BP phenomenon. Third, it extends the reach of existing work by examining BP endorsement in social media as a dependent variable beyond brand loyalty, with SSF included as another source of values to shed more light on the relationships depicted in the model. Fourth, by taking trait competitiveness into account, it sheds further light on relationships between customer values and BP endorsement.
Cash on delivery or online payment: mobile channel, order size and payment methods
Authors: Wu Banggang , Deng Xiaoyu , Cui Xuebin 
Published: June 2020

PurposeThe existing research does not systematically explore customers' option about different payment methods, nor does it analyze how shopping channels and shopping scale affect customers' option about different payment methods. Furthermore, there is a lack of exploration on what the relationship is, and how they are adjusted by customer purchasing experience. The authors’ research questions are: (1) when using different shopping channels in online retailing, whether customers will choose different types of payment methods? (2) Does the purchase amounts affect customers' choice of different payment methods?Design/methodology/approachThis study takes 60,484 customers from JD.com, one of the largest B2C platforms in China, as the research object and collects the purchase data of these customers from October 01, 2012 to December 31, 2013, and analyzes them through panel data models.FindingsBased on their purchase data, the authors find the main results by using panel data model that (1) the use of mobile channel has a positive effect on cash on delivery (COD), implying that when consumers use mobile to purchase, they have a higher possibility to use COD, (2) the order size has a positive effects on COD, that is to say, when the purchase amount increases, the possibility of using COD also increases. (3) Furthermore, when consumers' purchase experience abound, mobile channel's positive effect on COD will be decreased, but it does not affect the positive effect between order size and COD.Originality/valueFrom the aspects of shopping channels, product attributes and customer purchase experience, it fills the gaps in the research on the preselection of payment methods and makes research of payment methods a complete research system. Secondly, this study adds COD to the options of payment method selection. Finally, the moderating effect of customer shopping experience from a dynamic perspective elaborates that customers can learn from multiple purchases and overcome the shopping risks brought by shopping channels, thereby reducing the probability of choosing a COD method.
The impact of institutional proximity, cognitive proximity and agglomeration economies on firm-level productivity
Authors: Noonan Lisa , O'Leary Eoin , Doran Justin 
Published: June 2020

PurposeThis paper analyses the impact of institutional proximity, cognitive proximity and geographical proximity (in the form of agglomeration economies) on the firm-level productivity of foreign-owned firms in Ireland. The analysis of agglomeration economies, consisting of internal economies of scale, localization economies, related variety and urbanization economies, has a strong pedigree in regional economics literature. Increasingly, however, alternative explanations of firm-level productivity performance have been explored with institutional and cognitive proximity often identified as other important determinants of performance. This paper presents an analysis of the importance of agglomeration economies (based on geographical proximity) versus institutional and cognitive proximity (which may be a-spatial).Design/methodology/approachA series of measures capturing regional level agglomeration economies are generated as well as measures of institutional and cognitive proximity. The impact of these effects on foreign-owned firm-level productivity is analysed using data from the Irish Census of Industrial Local Units 2009. The estimation method employed is general method of moments (GMM) which allows for the potential endogeneity of variables within the system of analysis.FindingsThe results reveal that institutional proximity has a positive impact on productivity. A possible reason for this result is that local units of the same nationality are sharing knowledge in relation to successfully conducting business in Ireland. However, cognitive proximity is found to be statistically insignificant. Agglomeration economies are also important with urbanization economies and the availability of skilled labour having a positive effect on productivity.Originality/valueThe key contributions of this paper are as follows; firstly, the paper provides the first test of the institutional and cognitive proximity hypotheses on productivity while also controlling for a series of internal and external agglomeration economies. Secondly, the analysis considers, firm level, regional level and national level indicators as determinants of firm's productivity. In combining micro and macro level indicators, the paper attempts to answer the call of Van Oort et al. (2012) for such analyses. Thirdly, the paper provides the first detailed examination of the role of ‘proximity’ on foreign-owned manufacturing firms in the Irish context.
Anti-money laundering systems: a systematic literature review
Authors: Alsuwailem Alhanouf Abdulrahman Saleh , Saudagar Abdul Khader Jilani 
Published: June 2020

Purpose
This paper aims to understand and document the state of the art in the anti-money laundering (AML) systems literature.

Design/methodology/approach
A systematic literature review (SLR) is performed using the Saudi Digital Library. The outputs published as conference proceedings, workshop proceedings, journal articles and books were all considered. The final sample size after omitting out-of-scope selections was 27 documents, which mainly span from 2015 to 2020.

Findings
The sample is discussed based on a categorization, which demarcates solutions, machine learning, data sources, evaluation methods, implementation tools, sampling techniques and regions of study.

Originality/value
This SLR could serve as a useful basis for researchers and salient decision-makers, who are seeking to understand the nature and extent of the currently available research into AML systems.
Exploring the link between green manufacturing, operational competitiveness, firm reputation and sustainable performance dimensions: a mediated approach
Authors: Afum Ebenezer , Agyabeng-Mensah Yaw , Sun Zhuo , Frimpong Bright , Kusi Lawrence Yaw , Acquah Innocent Senyo Kwasi 
Published: June 2020

PurposeThe aim of this study is to explore the link between green manufacturing practices, operational competitiveness, firm reputation and sustainable performance dimensions as well as advance a mediation approach.Design/methodology/approachThe study resorted to structured questionnaire to collect data from 158 manufacturing firms from different industries, and partial least square–structural equation modelling is used to test all hypothesized relationships.FindingsThe results indicate that green manufacturing has a positive significant impact on social, economic and environmental performance. However, firm reputation and operational competitiveness were found not to significantly influence economic performance. The mediation analysis also showed that operational competitiveness, firm reputation and environmental performance play no mediation role between green manufacturing and economic performance. Furthermore, social performance is found to mediate the relationship between green manufacturing and economic performance.Research limitations/implicationsThe study did not consider any moderator variables. Also, the universal applicability and generalizability are somewhat a problem since data was mainly collected from Ghana, an emerging country.Practical implicationsThe results provide managers with reasonable evidence to proactively implement and invest in green manufacturing practices because such practices will not only have a positive impact on their sustainable performance dimensions but further enhance operational competitiveness and provide firms with superior reputation.Originality/valueThe study provides significant findings that contribute to and expand the literature on green manufacturing, and it is among the relatively few studies that has investigated the link between green manufacturing, sustainable performance dimensions, firm reputation and operational competitiveness, especially from a mediation analysis perspective.
Analytical hierarchy process and TOPSIS for selecting best parameters of green manufacturing
Authors: Singh Mahakdeep , Singh Kanwarpreet , Sethi Amanpreet Singh 
Published: June 2020

Purpose
Competition and globalization in the today’s scenario have posed many pressures on all manufacturing enterprises either it be small or medium scale organizations but at different levels. The purpose of this paper is to comprehend the usage of comparison for rankings between analytical hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) approach and find out best parameters, which is a multi-decision-making method for quantifying the implementation of green manufacturing.

Design/methodology/approach
In this investigation, eight aspects, for instance, top management commitment and support, organizational practices, peer government pressure, peer social pressure, customer’s attributes, green supply chain management, government support and adoption of new/ supportive technologies have been identified to examine priority weights by the use of AHP. A comparative methodology is used between AHP and TOPSIS rankings and further identifying the success possibility of green manufacturing using AHP technique.

Findings
Green supply chain management, customer’s attributes and organizational practices have been ranked at first three places, respectively, while adoption of new/ supportive technologies, top management commitment and support have been ranked fourth and fifth, respectively, according to AHP and TOPSIS techniques, which declares that results of the study are validated by two different techniques. The important factors discussed in this research can assist the different organizations to concentrate on imperative sections and assigning obligatory resources for assuring successful green manufacturing execution in various small- and medium-scale enterprises (SMEs).

Originality/value
The variables identified for the research are suitable to SMEs.
Strength of niche processes for species interactions is lower for generalists and exotic species
Authors: Peralta Guadalupe , Perry George L. W. , Vázquez Diego P. , Dehling D. Matthias , Tylianakis Jason M. 
Published: June 2020

Abstract

Niche and neutral processes jointly influence species interactions. Predictions of interactions based on these processes assume that they operate similarly across all species. However, species characteristics could systematically create differences in the strength of niche or neutral processes for each interspecific interaction.

We used national‐level records of plant–frugivore interactions, species traits, biogeographic status (native vs. exotic), phylogenies and species range sizes to test the hypothesis that the strength of niche processes in species interactions changes in predictable ways depending on trophic generalism and biogeographic status of the interacting species.

The strength of niche processes (measured as trait matching) decreased when the generalism of the interacting partners increased. Furthermore, the slope of this negative relationship between trait matching and generalism of the interacting partners was steeper (more negative) for interactions between exotic species than those between native species. These results remained significant after accounting for the potential effects of neutral processes (estimated by species range size).

These observed changes in the strength of niche processes in generating species interactions, after accounting for effects of neutral processes, could improve predictions of ecological networks from species trait data. Specifically, due to their shorter co‐evolutionary history, exotic species tend to interact with native species even when lower trait matching occurs than in interactions among native species. Likewise, interactions between generalist bird species and generalist plant species should be expected to occur despite low trait matching between species, whereas interactions between specialist species involve higher trait matching.
Iterative subtractive binning of freshwater chronoseries metagenomes identifies over 400 novel species and their ecologic preferences
Authors: Rodriguez‐R Luis M. , Tsementzi Despina , Luo Chengwei , Konstantinidis Konstantinos T. 
Published: June 2020

SummaryRecent advances in sequencing technology and bioinformatic pipelines have allowed unprecedented access to the genomes of yet‐uncultivated microorganisms from diverse environments. However, the catalogue of freshwater genomes remains limited, and most genome recovery attempts in freshwater ecosystems have only targeted specific taxa. Here, we present a genome recovery pipeline incorporating iterative subtractive binning, and apply it to a time series of 100 metagenomic datasets from seven connected lakes and estuaries along the Chattahoochee River (Southeastern USA). Our set of metagenome‐assembled genomes (MAGs) represents >400 yet‐unnamed genomospecies, substantially increasing the number of high‐quality MAGs from freshwater lakes. We propose names for two novel species: ‘Candidatus Elulimicrobium humile’ (‘Ca. Elulimicrobiota’, ‘Patescibacteria’) and ‘Candidatus Aquidulcis frankliniae’ (‘Chloroflexi’). Collectively, our MAGs represented about half of the total microbial community at any sampling point. To evaluate the prevalence of these genomospecies in the chronoseries, we introduce methodologies to estimate relative abundance and habitat preference that control for uneven genome quality and sample representation. We demonstrate high degrees of habitat‐specialization and endemicity for most genomospecies in the Chattahoochee lakes. Wider ecological ranges characterized smaller genomes with higher coding densities, indicating an overall advantage of smaller, more compact genomes for cosmopolitan distributions.