bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mapping knowledge domains on Wikipedia: an author bibliographic coupling analysis of traditional Chinese medicine
Authors: Zhao Dangzhi , Strotmann Andreas 
Published: April 2021

PurposeWikipedia has the lofty goal of compiling all human knowledge. The purpose of the present study is to map the structure of the Traditional Chinese Medicine (TCM) knowledge domain on Wikipedia, to identify patterns of knowledge representation on Wikipedia and to test the applicability of author bibliographic coupling analysis, an effective method for mapping knowledge domains represented in published scholarly documents, for Wikipedia data.Design/methodology/approachWe adapted and followed the well-established procedures and techniques for author bibliographic coupling analysis (ABCA). Instead of bibliographic data from a citation database, we used all articles on TCM downloaded from the English version of Wikipedia as our dataset. An author bibliographic coupling network was calculated and then factor analyzed using SPSS. Factor analysis results were visualized. Factors were labeled upon manual examination of articles that authors who load primarily in each factor have significantly contributed references to. Clear factors were interpreted as topics.FindingsSeven TCM topic areas are represented on Wikipedia, among which Acupuncture-related practices, Falun Gong and Herbal Medicine attracted the most significant contributors to TCM. Acupuncture and Qi Gong have the most connections to the TCM knowledge domain and also serve as bridges for other topics to connect to the domain. Herbal medicine is weakly linked to and non-herbal medicine is isolated from the rest of the TCM knowledge domain. It appears that specific topics are represented well on Wikipedia but their conceptual connections are not. ABCA is effective for mapping knowledge domains on Wikipedia but document-based bibliographic coupling analysis is not.Originality/valueGiven the prominent position of Wikipedia for both information users and for researchers on knowledge organization and information retrieval, it is important to study how well knowledge is represented and structured on Wikipedia. Such studies appear largely missing although studies from different perspectives both about Wikipedia and using Wikipedia as data are abundant. Author bibliographic coupling analysis is effective for mapping knowledge domains represented in published scholarly documents but has never been applied to mapping knowledge domains represented on Wikipedia.
The effects of government spending shocks on income distribution in South Africa
Authors: Nuru Naser Yenus , Zeratsion Mola Gebremeskel 
Published: April 2021

PurposeThe main aim of this study is to examine the effect of government spending and its components' shocks on the distribution of income between labour and capital in South Africa for the period between 1994Q2 and 2019Q3.Design/methodology/approachThe effects of government spending shocks on income distribution are analysed using Jordà's (2005) local projection method. The shocks, however, are identified by applying short-run contemporaneous restrictions in a vector autoregressive model based on Cholesky identification scheme.FindingsThe results indicate that government spending shock has a positive and significant effect on labour share after the first quarter. This means that expansionary government spending has a paramount role in reducing income inequality in the economy. Both government investment and government consumption shocks have also contributed to a reduction in income inequality, though the magnitude effect is smaller for government consumption.Originality/valueResearch findings on the effects of government spending shock on income inequality are still inconclusive. Therefore, this research examines the effect of total government spending shock along with its components on labour income share for the South African economy.
The impact of COVID-19 outbreak on Borsa Istanbul: an event study method
Authors: Karaömer Yunus , Kakilli Acaravcı Songül 
Published: April 2021

PurposeThis study aims to research how the outbreak of coronavirus disease 2019 (COVID-19) impacts the selected sector price indices in Borsa Istanbul (BIST), Turkey.Design/methodology/approachThe authors use the event study method because it is a useful method as stock prices and market instantly reflect the effect of such an unusual event. Data are retrieved from the https://www.investing.com/.FindingsThe authors find that selected sectors are impacted by the COVID-19 outbreak. The banking and transportation sectors, on the announcement of first death, were impacted negatively, while the telecommunication and food –beverage sectors were impacted positively. The transportation and banking sectors experience an obvious downturn after the spread of COVID-19, while the food–beverage and telecommunication sectors experience an obvious upturn after the spread of COVID-19. Besides, the most adversely impacted sector is banking.Originality/valueThis study bridges the research gap and adds significant insights to the existing literature. The main contribution of this study to the existing literature is the unexpected outbreak impacts on financial markets, especially on BIST. It is also expected that this study will make a significant contribution to analysts, researchers and policymakers.
The mediating role of emotional intelligence on the impact of perfectionism on problem-solving skills: an application for tourist guides
Authors: Kırıcı Tekeli Ezgi , Özkoç Aziz Gökhan 
Published: April 2021

PurposeIt is understood that the personality traits and intelligence levels of the tourist guides directly or indirectly affect their ability to solve the problems they encounter on tours. This study aims to test whether emotional intelligence has an intermediary effect on the problem-solving skills of professional tourist guides with perfectionist personality traits.Design/methodology/approachField research was conducted within the study to analyze suggestions on the interaction of variables on an empirical basis, and data were collected using interview, document review and survey technique. Thus, the mixed-methods approach was used in the study. Within the scope of this study in which 410 professional tourist guides were surveyed, a substantial part of the research data was obtained through the application of the survey technique. Besides, interviews were carried out with 12 professional tourist guides. The clues obtained by the qualitative study were transformed into hypotheses within the scope of the quantitative study, and the intermediary effect was tested.FindingsA relationship between the main themes, sub-themes and codes was determined within the framework of the qualitative method. As a result of the mediation test, it has been revealed that emotional intelligence has an intermediary role in the relationship between perfectionism and problem-solving skills. According to the results of bootstrapping, the indirect effect of emotional intelligence on perfectionism and problem-solving skills was found out to be significant.Practical implicationsThe study acknowledged that positive perfectionism, high emotional intelligence and problem-solving skills contributed to the professional tourist guides being willing to provide better service. In tune with the assumption that the more the quality of the tours carried out through agencies increases, the more satisfied tourists are; the study implicated that it would be advisable for agencies to prioritize the trainings provided for their tour guides to enhance their positive perfectionist, emotionally intelligent personalities and problem-solving skills. Given that professional tourist guides may create a positive country image with the quality service they provide, the significance of such trainings stretch beyond the benefits of such organizations.Originality/valueRelevant variables were analyzed with a mixed method and applied on professional tourist guides.
How COVID-19 influences the future of service management professions
Authors: Lee Kiwon , Chuang Ning Kuang , Lee Seonjeong Ally , Israeli Aviad A. 
Published: April 2021

PurposeCrises influence individuals’ career development. The COVID-19 crisis has global impacts in financial, health and social aspects and service industries are at the forefront of the pervasive impacts. This study investigated how college students’ perceptions of COVID-19 interplayed with self-efficacy on their academic plans and further identified major differences between students in service-oriented and nonservice-oriented majors.Design/methodology/approachA self-administered online survey was conducted with 299 undergraduates at a large Midwestern university during COVID-19. Regression analyses, including conditional analyses, examined the study hypotheses using SPSS.FindingsThe results showed that, in general, students’ self-efficacy reduced their intentions to change their academic majors. The joint effects of self-efficacy and perception of COVID-19 diverged among students in nonservice-oriented majors but converged among students in service-oriented majors (e.g. hospitality and tourism). These students in the service fields showed more commitment to their current majors even as their concerns about the social implications of COVID-19 increased.Practical implicationsThis study suggests that academic institutions should try to improve students’ self-efficacy to maintain their career commitments during crisis times. Furthermore, service organizations should highlight the importance of social aspects as recovery from COVID-19 begins as a tool to recruit college graduates.Originality/valueThe literature on career decisions of students in service industries is quite limited. This study enriches the body of career decisions research in the context of service management by highlighting how service sectors are influenced by COVID-19.
Mapping the themes and intellectual structure of customer engagement: a bibliometric analysis
Authors: Srivastava Mukta , Sivaramakrishnan Sreeram 
Published: April 2021

PurposeCustomer engagement (CE) as a domain of research started gaining impetus when it became apparent that it can be a key driver of a firm's performance, competitive advantage and loyalty. The purpose of this study is to develop a deep understanding of the CE construct in marketing literature using bibliometric analysis.Design/methodology/approachIn this study, 940 articles were retrieved from Scopus, the well-known electronic database. Bibliographic coupling and co-occurrence analysis using VOSviewer along with content analysis were employed.FindingsAfter careful content analysis, six clusters were identified through bibliographic coupling: (1) modeling customer engagement, (2) customer engagement theory and empirical validation, (3) customer engagement and service-dominant logic, (4) customer engagement and social media, (5) customer engagement and brand platforms and (6) engagement in other contexts. The outcomes of this study would not only be valuable for scholars working in the CE domain, but could also be useful for practitioners and policymakers who wish to enhance their understanding about CE.Originality/valueOver the past decade, the research on CE construct has exploded owing to the growing interest of both scholars and practitioners in the field. Despite being a popular field of research, there is no published work on a comprehensive bibliometric analysis of the construct in marketing literature. The current study bridges this gap in the existing literature.
Institutional disruption and technology platforms: the Uber case
Authors: Ferreira Wilquer Silvano de Souza , Vale Gláucia Maria Vasconcellos , Bernardes Patrícia 
Published: April 2021

PurposeThe aim of this article is to test the hypothesis that peer-to-peer technology platforms (Uber) are associated with disruption in the institutional environment, affecting beliefs, norms and users' ways of thinking and acting.Design/methodology/approachProbability sample comprising 843 users (446 passengers; 397 drivers) in the city of Belo Horizonte, Brazil, using a set of indicators was specifically designed for this study.FindingsUber triggers significant changes in the systems of rewards and sanctions, in social preferences, and in entrepreneurial structure and governance, and promotes the coexistence of an institutional logic, hitherto dominant, with new believes, rules, norms and regulatory systems.Originality/valueThis is a pioneer study that associates institutional approach's elements with technology platforms; the authors also elaborated and utilized an analysis model consisting of a set of completely original indicators capable of mapping and measuring different dimensions of the phenomenon under analysis.
Digital twin-based progress monitoring management model through reality capture to extended reality technologies (DRX)
Authors: Alizadehsalehi Sepehr , Yitmen Ibrahim 
Published: April 2021

PurposeThe purpose of this research is to develop a generic framework of a digital twin (DT)-based automated construction progress monitoring through reality capture to extended reality (RC-to-XR).Design/methodology/approachIDEF0 data modeling method has been designed to establish an integration of reality capturing technologies by using BIM, DTs and XR for automated construction progress monitoring. Structural equation modeling (SEM) method has been used to test the proposed hypotheses and develop the skill model to examine the reliability, validity and contribution of the framework to understand the DRX model's effectiveness if implemented in real practice.FindingsThe research findings validate the positive impact and importance of utilizing technology integration in a logical framework such as DRX, which provides trustable, real-time, transparent and digital construction progress monitoring.Practical implicationsDRX system captures accurate, real-time and comprehensive data at construction stage, analyses data and information precisely and quickly, visualizes information and reports in a real scale environment, facilitates information flows and communication, learns from itself, historical data and accessible online data to predict future actions, provides semantic and digitalize construction information with analytical capabilities and optimizes decision-making process.Originality/valueThe research presents a framework of an automated construction progress monitoring system that integrates BIM, various reality capturing technologies, DT and XR technologies (VR, AR and MR), arraying the steps on how these technologies work collaboratively to create, capture, generate, analyze, manage and visualize construction progress data, information and reports.
Building information model visualisation in augmented reality
Authors: Dudhee Vishak , Vukovic Vladimir 
Published: April 2021

PurposeThe possibility of integrating building information in an augmented reality (AR) environment provides an effective solution to all phases of a building's lifecycle. This paper explores the integration of building information modelling (BIM) and AR to effectively visualise building information models in an AR environment and evaluates the currently available AR tools.Design/methodology/approachA BIM model of a selected office room was created and superimposed to the actual physical space using two different AR devices and four different AR applications. The superimposing techniques, accuracy and the level of information that can be visualised were then investigated by performing a walk-through analysis.FindingsFrom the investigation, it can be concluded that model positioning can be inaccurate depending on the superimposing method used and the AR device. Moreover, using the currently available techniques, only static building information can be superimposed and visualised in AR, showing a need to integrate data from Internet of Things (IoT) sensors into the current BIM-AR processes to allow visualisation of accurate and high-quality operational building information.Originality/valueA practical process and method for visualising and superimposing BIM models in an AR environment have been described. Recommendations to improve superimposing accuracy are provided. The assessment of type, quality and level of detail that can be visualised indicates the areas that need improvement to increase the effectiveness of building information's visualisation in AR.
Elizabethkingia anophelis, an emerging pathogen, inhibits RAW 264.7 macrophage function
Authors: Mayura I. Putu Bayu , Gotoh Kazuyoshi , Nishimura Hayato , Nakai Erina , Mima Takehiko , Yamamoto Yumiko , Yokota Kenji , Matsushita Osamu 
Published: April 2021

AbstractElizabethkingia anophelis is a pathogen that can cause a life‐threatening infection in immunocompromised patients. The first case of E. anophelis infection was reported in 2013; subsequently, an increase in its incidence has been reported globally. Additionally, a mortality rate of more than 30% was observed in the US outbreak of 2015. To date, the pathogenic mechanisms underlying E. anophelis infection, such as toxin production, remain unclear. Since tissue macrophages act as the first line of defense against pathogens, in the present study the interactions between E. anophelis and a macrophage‐like cell line RAW 264.7 were examined. Although E. anophelis showed no cytotoxicity toward RAW 264.7 macrophages, the infection inhibited LPS‐induced morphological changes and activation of differentiation markers for the polarization of RAW 264.7 macrophages toward an M1‐like phenotype. However, when the cell contact was restricted using Transwell inserts or bacterial culture supernatants were used instead of live bacteria, no such inhibition was observed. Moreover, it was shown that E. anophelis evaded phagocytosis. Overall, the results suggest that E. anophelis infection inhibits the differentiation of RAW 264.7 macrophages to a pro‐inflammatory phenotype in a contact‐dependent manner.
Mortality Inequality in the Czech Republic*
Authors: Bertoli Paola , Grembi Veronica 
Published: April 2021

AbstractWe examine the evolution of mortality and mortality inequality among the 77 districts of the Czech Republic ranked by a new poverty index, from 1994 to 2016. The country experienced dramatic improvements in mortality for all age categories and both genders, but with very little variation in inequality. Inequality in mortality has remained substantially stable, increasing only for females aged 20–64.
Income Inequality and Mortality: A Norwegian Perspective*
Authors: Bütikofer Aline , Karadakic René , Salvanes Kjell G. 
Published: April 2021

AbstractWhile Norway has experienced income growth accompanied by a large decline in mortality during the past several decades, little is known about the distribution of these improvements in longevity across the income distribution. Using municipality‐level income and mortality data, we show that the stark income gradient in infant mortality across municipalities in the 1950s mostly closed in the late 1960s. However, the income gradient in mortality for older age categories across municipalities persisted until 2010 and only flattened thereafter. Further, the infant mortality gap between rich and poor Norwegian families based on individual‐level data persisted several decades longer than the gap between rich and poor municipalities and only finally closed in the early 21st century.
All the Tea in China: Solving the ‘China Problem’ at the WTO
Authors: Mavroidis Petros C. , Sapir André 
Published: April 2021

AbstractThe history of China’s accession to the WTO has been a rollercoaster of alacrity and acrimony. Hailed as another milestone in the WTO‐era, it soon proved to be a thorn in the side of the multilateral edifice. Various complaints have arisen, and all have to do with the role of state involvement in the workings of the economy. The cause of concern is not state involvement per se – it is state involvement in an economy of unprecedented size. State‐owned enterprises and transfer of technology are the expressions of state involvement that have caught most of the attention. In this paper we argue in favor of multilateral solutions to address both matters. Staying idle is not an option as the trading community otherwise will continue to be confronted with unilateral responses that are largely ineffective while generating significant negative external effects.
Metabolomic profiles discriminating anxiety from depression
Authors: de Kluiver Hilde , Jansen Rick , Milaneschi Yuri , Bot Mariska , Giltay Erik J. , Schoevers Robert , Penninx Brenda W.J.H. 
Published: April 2021

ABSTRACTObjectiveDepression has been associated with metabolomic alterations. Depressive and anxiety disorders are often comorbid diagnoses and are suggested to share etiology. We investigated whether differential metabolomic alterations are present between anxiety and depressive disorders and which clinical characteristics of these disorders are related to metabolomic alterations.MethodsData were from the Netherlands Study of Depression and Anxiety (NESDA), including individuals with current comorbid anxiety and depressive disorders (N = 531), only a current depression (N = 304), only a current anxiety disorder (N = 548), remitted depressive and/or anxiety disorders (N = 897), and healthy controls (N = 634). Forty metabolites from a proton nuclear magnetic resonance lipid‐based metabolomics panel were analyzed. First, we examined differences in metabolites between disorder groups and healthy controls. Next, we assessed whether depression or anxiety clinical characteristics (severity and symptom duration) were associated with metabolites.ResultsAs compared to healthy controls, seven metabolomic alterations were found in the group with only depression, reflecting an inflammatory (glycoprotein acetyls; Cohen's d = 0.12, p = 0.002) and atherogenic‐lipoprotein‐related (e.g., apolipoprotein B: Cohen's d = 0.08, p = 0.03, and VLDL cholesterol: Cohen's d = 0.08, p = 0.04) profile. The comorbid group showed an attenuated but similar pattern of deviations. No metabolomic alterations were found in the group with only anxiety disorders. The majority of metabolites associated with depression diagnosis were also associated with depression severity; no associations were found with anxiety severity or disease duration.ConclusionWhile substantial clinical overlap exists between depressive and anxiety disorders, this study suggests that altered inflammatory and atherogenic‐lipoprotein‐related metabolomic profiles are uniquely associated with depression rather than anxiety disorders.
Microguided endodontics: Accuracy evaluation for access through intraroot fibre‐post
Authors: Perez Cyril , Sayeh Amira , Etienne Olivier , Gros Catherine Isabelle , Mark Ashley , Couvrechel Cauris , Meyer Florent 
Published: April 2021

AbstractIn this work, we intended to assess the reliability of guided endodontic technique to remove a bonded fibre‐post when there are artefacts in the cone‐beam computed tomography (CBCT) images caused by composite dental materials. We mounted natural posterior teeth on ten simulated models. Forty fibre‐post and composite‐core restorations were inserted in the teeth. We merged a pre‐operative CBCT and optical surface scan on the BlueskyplanTM software to digitally design and subsequently 3D‐printed the guides. Two operators initiated endodontic access into the fibre‐post restorations using the template to guide the drill. Post‐operative CBCT was taken and merged onto the pre‐operative plan to measure the deviations at the coronal and apical segments. The mean deviation between the planned and actual drill paths were, respectively, of 0.39 ± 0.14 mm coronally and 0.40 ± 0.19 mm apically. Microguided endodontics is a predictable and accurate method to remove fibre‐post restorations efficiently.