bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nurses’ emotions, emotion regulation and emotional exhaustion
Authors: Lee Mikyoung , Jang Keum-Seong 
Published: July 2019

Purpose
The purpose of this study is to investigate the relations between emotion regulation (reappraisal and suppression), discrete emotions and emotional exhaustion among nurses.

Design/methodology/approach
A cross-sectional design was used with 168 nurses in South Korea. Structural equation modeling and path analysis were conducted for analysis.

Findings
Reappraisal correlated positively with enjoyment and pride and negatively with anxiety, anger and frustration, whereas suppression correlated negatively with enjoyment and positively with anxiety and frustration. Moreover, reappraisal was negatively associated with emotional exhaustion, whereas suppression was positively associated with it. Enjoyment was negatively related to emotional exhaustion, and anger and frustration were positively related to it. Enjoyment and frustration mediated the relation between emotion regulation and emotional exhaustion. Findings demonstrate the potentially beneficial influences of reappraisal as well as harmful impacts of suppression in the nursing context.

Research limitations/implications
This paper expands research on nurses’ emotion management by applying Gross’s emotion regulation framework rather than Hochschild’s emotional labor framework. The mediating result suggests that not only nurses but also hospital administrators and nurse managers should pay attention to nurses’ emotional experiences to improve nurses’ well-being and ultimately better nursing practice. This research can provide the basis for developing practical interventions to efficiently regulate nurses’ emotions.

Originality/value
This is the first study exploring the mediating role of emotions in the link between nurses’ emotion regulation and emotional exhaustion. It contributes to interdisciplinary research by integrating perspectives from psychological emotion and emotion regulation research into the nursing field.
Obtrusive, obstinate and conspicuous: red tape from a Heideggerian perspective
Authors: Campbell Jesse W. 
Published: July 2019

PurposeTheoretical innovation has been central to the study of red tape in (public sector) organizations. However, fundamental red tape concepts have failed to capture fully the lived experience of dysfunctional rules. This study addresses this issue.Design/methodology/approachThe study provides a critical review of existing red tape theory, highlighting its strengths but, more importantly, its limitations for analyzing red tape from an experiential perspective. To develop an experiential approach, the author draws on philosopher Martin Heidegger’s analysis of (dysfunctional) equipment, leveraging his insights to provide a cognitive account of established red tape concepts including functional efficacy, compliance burden, goal displacement and the bureaucratic personality.FindingsThe analysis suggests that, from an experiential perspective, impersonal organizational goals are unlikely to serve as the criteria by which evaluations of rule quality are made. Rather, a limited horizon of practical objectives, grounded in the individual work context, provides a more realistic standard. The practical implications of this insight for research in several areas are discussed.Originality/valueBy drawing on a literature largely overlooked by public administration scholars, this study contributes to the theory of red tape and organizational rules by providing a novel perspective that is not entirely discontinuous with existing work.
MD simulation of stress-assisted nanometric cutting mechanism of 3C silicon carbide
Authors: Liu Lei , Xu Zongwei , Tian Dongyu , Hartmaier Alexander , Luo Xichun , Zhang Junjie , Nordlund Kai , Fang Fengzhou 
Published: July 2019

Purpose
This paper aims to reveal the mechanism for improving ductile machinability of 3C-silicon carbide (SiC) and associated cutting mechanism in stress-assisted nanometric cutting.

Design/methodology/approach
Molecular dynamics simulation of nano-cutting 3C-SiC is carried out in this paper. The following two scenarios are considered: normal nanometric cutting of 3C-SiC; and stress-assisted nanometric cutting of 3C-SiC for comparison. Chip formation, phase transformation, dislocation activities and shear strain during nanometric cutting are analyzed.

Findings
Negative rake angle can produce necessary hydrostatic stress to achieve ductile removal by the extrusion in ductile regime machining. In ductile-brittle transition, deformation mechanism of 3C-SiC is combination of plastic deformation dominated by dislocation activities and localization of shear deformation. When cutting depth is greater than 10 nm, material removal is mainly achieved by shear. Stress-assisted machining can lead to better quality of machined surface. However, there is a threshold for the applied stress to fully gain advantages offered by stress-assisted machining. Stress-assisted machining further enhances plastic deformation ability through the active dislocations’ movements.

Originality/value
This work describes a stress-assisted machining method for improving the surface quality, which could improve 3C-SiC ductile machining ability.
Natural teaching for humanoid robot via human-in-the-loop scene-motion cross-modal perception
Authors: Xu Wenbin , Li Xudong , Gong Liang , Huang Yixiang , Zheng Zeyuan , Zhao Zelin , Zhao Lujie , Chen Binhao , Yang Haozhe , Cao Li , Liu Chengliang 
Published: July 2019

Purpose
This paper aims to present a human-in-the-loop natural teaching paradigm based on scene-motion cross-modal perception, which facilitates the manipulation intelligence and robot teleoperation.

Design/methodology/approach
The proposed natural teaching paradigm is used to telemanipulate a life-size humanoid robot in response to a complicated working scenario. First, a vision sensor is used to project mission scenes onto virtual reality glasses for human-in-the-loop reactions. Second, motion capture system is established to retarget eye-body synergic movements to a skeletal model. Third, real-time data transfer is realized through publish-subscribe messaging mechanism in robot operating system. Next, joint angles are computed through a fast mapping algorithm and sent to a slave controller through a serial port. Finally, visualization terminals render it convenient to make comparisons between two motion systems.

Findings
Experimentation in various industrial mission scenes, such as approaching flanges, shows the numerous advantages brought by natural teaching, including being real-time, high accuracy, repeatability and dexterity.

Originality/value
The proposed paradigm realizes the natural cross-modal combination of perception information and enhances the working capacity and flexibility of industrial robots, paving a new way for effective robot teaching and autonomous learning.
Crowdsourcing to manage service gaps in service networks
Authors: Blair Amanda , Key Thomas Martin , Wilson Matthew 
Published: July 2019

Purpose
The purpose of this paper is to illustrate and conceptualize how crowdsourcing can be implemented as a potential means to address gaps in service quality within service networks and to provide guidance to marketing practitioners on the use of crowdsourcing within service networks.

Design/methodology/approach
This paper conceptualizes how crowdsourcing can be used to address service quality gaps in service networks and provides propositions regarding the effects of crowdsourcing on service quality gaps.

Findings
Conceptual paper with a literature review, suggested a model for service quality gaps in service networks and propositions regarding the effects of crowdsourcing to manage service quality gaps.

Research limitations/implications
This research contributes to the literature on crowdsourcing by theorizing how crowdsourcing impacts service quality in service networks.

Practical implications
Considerations for managers implementing crowdsourcing strategies and activities within service networks are provided. In particular, implications with regard to forming the crowd, developing the most appropriate approach and integrating value into the firm are discussed.

Originality/value
This paper offers an original contribution linking crowdsourcing to service quality.
Social media influence on the B2B buying process
Authors: Diba Hoda , Vella Joseph M. , Abratt Russell 
Published: July 2019

Purpose
This study aims to explore if and how business-to-business (B2B) companies can use social media to influence the buying process.

Design/methodology/approach
The study uses an exploratory approach into the existing literature related to the B2B buying process and its relationship with social media.

Findings
The study shows that companies in a B2B context can use social media as a means of influencing the stages of the buying process by means of using one or more of the seven functional blocks of social media.

Research limitations/implications
The findings demonstrate the relation that exists between each stage of the buyer process in a B2B organization and the functional blocks of social media. This study opens the door for further research into the influence of each of these blocks on the buying process stages and the roles involved.

Practical implications
This study identifies how social media’s blocks influence the different stages and how organizations can use that to their benefit.

Originality/value
Few studies have investigated the use of social media in a B2B context. However, not many have looked into the influence of social media in the B2B buying process and buying center. This study looks into the relationship between the buying process stages and social media’s functional blocks as related to the different roles of the buying center.
Relationship among China’s country image, corporate image and brand image
Authors: Fan Qingji 
Published: July 2019

Purpose
The purpose of this paper is to investigate the effect of China’s image as a country on consumers’ evaluations of brands. Drawing on the literature pertaining to country images and country-of-origin effect, a research model was developed to evaluate country image, corporate image and brand image.

Design/methodology/approach
To test the model and investigate the effects of country, corporate and brand image on brand attitude and purchase intention, a survey was conducted that examined Korean consumers’ attitudes toward well-known Chinese brands.

Findings
China’s country image was found to comprise four dimensions: political image, economic image, citizen image and country relationship image. Country image had a direct positive effect on brand attitude, and through brand attitude, country image had an indirect positive effect on purchase intention. Corporate image and brand image had a positive effect on brand attitude and a direct positive effect on purchase intention. In addition, country image had a positive effect on corporate image, while through corporate image, country image had an indirect positive effect on brand image.

Originality/value
These findings not only offer theoretical evidence for research on China’s country image, but also provide empirical evidence to support the “going global” strategies of Chinese enterprises.
Non-performing loans in European Union: country governance dimensions
Authors: Lee Yok Yong , Dato Haji Yahya Mohd Hisham , Habibullah Muzafar Shah , Mohd Ashhari Zariyawati 
Published: July 2019

PurposeThis paper aims to provide new empirical evidence on the non-performing loan (NPL) determinants of the EU conventional banks, in the context of macroeconomic factors, dimensions of country governance and bank-specific characteristics.Design/methodology/approachThe panel data sets of 1,053 conventional banks were obtained over the period of 2007-2016. The Hodrick–Prescott filter was adopted to extract business cycle and credit cycle from real gross domestic product and credit to the private non-financial sector, correspondingly. System-generalised methods of moment was then used to identify the significant determinants of NPL.FindingsThe empirical results reveal that NPL is primarily driven positively by lagged-one NPL and risk profile. In consonance with the skimping hypothesis, NPL has a significant positive relationship with the cost efficiency. The empirical finding of the business cycle coincides with the Austrian business cycle theory. Particularly, NPL is relatively low during rapid economic growth of credit-sourced business boom. Whereas, business bust happens when credit creation runs its course and is associated with high NPL. This paper encapsulates that NPL is driven by not only macroeconomic factors and bank-specific characteristics but also the dimensions of country governance.Practical implicationsPolicymakers should introduce policies that are geared towards proper dimensions of country governance.Originality/valueThe novelty of this research does not rely on the multidimensions of NPL determinants but on the disentanglement of the conventional banks with dual identity (i.e. Islamic banks, cooperative banks and ethical banks). It considers business cycle, credit cycle and previous NPL as the potential determinants.
Cities in the experience economy: the rise and the future of urban leisure formats
Authors: Zmyslony Piotr , Wędrowicz Karolina Anna 
Published: July 2019

Purpose
The purpose of this paper is to discuss the rise and the future of urban leisure format (ULF), i.e. local seasonal short-lived and repeatable small-scale place-time-based staging urban leisure experiences which become the focus of recreation and tourism development in many cities. It aims to analyse the structure of the ULF by identifying its main features and also to propose the future developments of the concept.

Design/methodology/approach
The study is based on the experience economy principles. It develops the models for structured experiences/experienscape by adding the analogy with television programme formats to propose the general logic of constructing, organising and packetizing urban leisure experiences that are multiplied effectively to other urban time-spaces.

Findings
The ULF’s future potential lies in its ability to adopt local components, i.e. people and urban resources, to global trends using a structured experiences/experience logic which makes the ULF formattable, i.e. with the capacity to get informally standardised, then repeated and adapted to other cities’ contexts.

Research limitations/implications
The paper provides a conceptual framework for formatting the leisure events and places under the framework of the structured experience, will be carefully adapted to the micro-local level, i.e. community activities sphere. The ULF is a theoretical concept and needs empirical research to verify its validity.

Practical implications
The ULF provides urban managers with a framework for replicating, multiplying and adapting urban leisure events and sites within the structured experiences (SE) designing framework.

Originality/value
The study contributes to the scientific discussion on the experience economy by introducing the ULF concept which can be adapted to various urban conditions.
A hybrid node ranking technique for finding influential nodes in complex social networks
Authors: Kanwar Kushal , Kaushal Sakshi , Kumar Harish 
Published: July 2019

PurposeIn today’s digital era, data pertaining to scientific research have attracted considerable attention of researchers. Data of scientific publications can be modeled in the form of networks such as citation networks, co-citation networks, collaboration networks, and others. Identification and ranking of important nodes in such networks is useful in many applications, such as finding most influential papers, most productive researchers, pattern of citation, and many more. The paper aims to discuss this issue.Design/methodology/approachA number of methods are available in literature for node ranking, and K-shell decomposition is one such method. This method categorizes nodes in different groups based on their topological position. The shell number of a node provides useful insights about the node’s importance in the network. It has been found that shells produced by the K-shell method need to be further refined to quantify the influence of the nodes aptly. In this work, a method has been developed, which ranks nodes by taking the core(s) as the origin and second-order neighborhood of a node as its immediate sphere of influence.FindingsIt is found that the performance of the proposed technique is either comparable or better than other methods in terms of correctness and accuracy. In case of assigning different ranks to nodes, the performance of the proposed technique is far more superior to existing methods. The proposed method can be used to rank authors, research articles, and fields of research.Originality/valueThe proposed method ranks nodes by their global position in a network as well as their local sphere of information. It leads to better quantification of a node’s impact. This method is found to be better in terms of accuracy and correctness. In case of assigning different ranks to nodes, the performance of the proposed technique is far more superior to existing methods.
Widely linear denoising of multicomponent seismic data
Authors: Bahia Breno , Sacchi Mauricio D. 
Published: July 2019

ABSTRACTSeismic data processing is a challenging task, especially when dealing with vector‐valued datasets. These data are characterized by correlated components, where different levels of uncorrelated random noise corrupt each one of the components. Mitigating such noise while preserving the signal of interest is a primary goal in the seismic‐processing workflow. The frequency‐space deconvolution is a well‐known linear prediction technique, which is commonly used for random noise suppression. This paper represents vector‐field seismic data through quaternion arrays and shows how to mitigate random noise by proposing the extension of the frequency‐space deconvolution to its hypercomplex version, the quaternion frequency‐space deconvolution. It also shows how a widely linear prediction model exploits the correlation between data components of improper signals. The widely linear scheme, named widely‐linear quaternion frequency‐space deconvolution, produces longer prediction filters, which have enhanced signal preservation capabilities shown through synthetic and field vector‐valued data examples.
Seasonal host life‐history processes fuel disease dynamics at different spatial scales
Authors: Scherer Cédric , Radchuk Viktoriia , Staubach Christoph , Müller Sophie , Blaum Niels , Thulke Hans‐Hermann , Kramer‐Schadt Stephanie 
Published: July 2019

Abstract

Understanding the drivers underlying disease dynamics is still a major challenge in disease ecology, especially in the case of long‐term disease persistence. Even though there is a strong consensus that density‐dependent factors play an important role for the spread of diseases, the main drivers are still discussed and, more importantly, might differ between invasion and persistence periods.

Here, we analysed long‐term outbreak data of classical swine fever, an important disease in both wild boar and livestock, prevalent in the wild boar population from 1993 to 2000 in Mecklenburg‐Vorpommern, Germany. We report outbreak characteristics and results from generalized linear mixed models to reveal what factors affected infection risk on both the landscape and the individual level.

Spatiotemporal outbreak dynamics showed an initial wave‐like spread with high incidence during the invasion period followed by a drop of incidence and an increase in seroprevalence during the persistence period. Velocity of spread increased with time during the first year of outbreak and decreased linearly afterwards, being on average 7.6 km per quarter.

Landscape‐ and individual‐level analyses of infection risk indicate contrasting seasonal patterns. During the persistence period, infection risk on the landscape level was highest during autumn and winter seasons, probably related to spatial behaviour such as increased long‐distance movements and contacts induced by rutting and escaping movements. In contrast, individual‐level infection risk peaked in spring, probably related to the concurrent birth season leading to higher densities, and was significantly higher in piglets than in reproductive animals.

Our findings highlight that it is important to investigate both individual‐ and landscape‐level patterns of infection risk to understand long‐term persistence of wildlife diseases and to guide respective management actions. Furthermore, we highlight that exploring different temporal aggregation of the data helps to reveal important seasonal patterns, which might be masked otherwise.
Disentangling ecologically equivalent from neutral species: The mechanisms of population regulation matter
Authors: McPeek Mark A. , Siepielski Adam M. 
Published: July 2019

Abstract

The neutral theory of biodiversity explored the structure of a community of ecologically equivalent species. Such species are expected to display community drift dynamics analogous to neutral alleles undergoing genetic drift. While entire communities of species are not ecologically equivalent, recent field experiments have documented the existence of guilds of such neutral species embedded in real food webs.

What demographic outcomes of the interactions within and between species in these guilds are expected to produce ecological drift versus coexistence remains unclear. To address this issue, and guide empirical testing, we consider models of a guild of ecologically equivalent competitors feeding on a single resource to explore when community drift should manifest.

We show that community drift dynamics only emerge when the density‐dependent effects of each species on itself are identical to its density‐dependent effects on every other guild member. In contrast, if each guild member directly limits itself more than it limits the abundance of other guild members, all species in the guild are coexisting, even though they all are ecologically equivalent with respect to their interactions with species outside the guild (i.e. resources, predators, mutualists). Hence, considering only interspecific ecological differences generating density dependence, and not fully accounting for the preponderance of mechanisms causing intraspecific density dependence, will provide an incomplete picture for segregating between neutrality and coexistence. We also identify critical experiments necessary to disentangle guilds of ecologically equivalent species from those experiencing ecological drift, as well as provide an overview of ways of incorporating a mechanistic basis into studies of species coexistence and neutrality.

Identifying these characteristics, and the mechanistic basis underlying community structure, is not merely an exercise in clarifying the semantics of coexistence and neutral theories, but rather reflects key differences that must exist among community members in order to determine how and why communities are structured.