bluuebunny/crossref_metadata_2025_split huggingface dataset:
International Journal of Emerging Markets: a bibliometric review 2006–2020
Authors: Kumar Ashish , Sharma Shikha , Vashistha Ritu , Srivastava Vikas , Tabash Mosab I. , Munim Ziaul Haque , Paltrinieri Andrea 
Published: August 2022

PurposeInternational Journal of Emerging Markets (IJoEM) is a leading journal that publishes high-quality research focused on emerging markets. In 2020, IJoEM celebrated its fifteenth anniversary, and the objective of this paper is to conduct a retrospective analysis to commensurate IJoEM's milestone.Design/methodology/approachData used in this study were extracted using the Scopus database. Bibliometric analysis, using several indicators, is adopted to reveal the major trends and themes of a journal. Mapping of bibliographic data is carried using VOSviewer.FindingsStudy findings indicate that IJoEM has been growing for publications and citations since its inception. Four significant research directions emerged, i.e. consumer behaviour, financial markets, financial institutions and corporate governance and strategic dimensions based on cluster analysis of IJoEM's publications. The identified future research directions are focused on emergent investments opportunities, trends in behavioural finance, emerging role technology-financial companies, changing trends in corporate governance and the rising importance of strategic management in emerging markets.Originality/valueTo the best of the authors' knowledge, this is the first study to conduct a comprehensive bibliometric analysis of IJoEM. The study presents the key themes and trends emerging from a leading journal considered a high-quality research journal for research on emerging markets by academicians, scholars and practitioners.
Adaptive performance in refugees after trauma: how relevant are post-traumatic stress and post-traumatic growth?
Authors: Stasielowicz Lukasz 
Published: August 2022

PurposeWars can lead to massive migration waves, e.g. the Syrian Civil War that began in 2011 led to the European refugee crisis. Discussions about labour integration often accompany huge spikes in asylum applications. Since many refugees experience traumatic events, such as torture, health problems must be considered in the work context. Unfortunately, the relevance of the post-traumatic experiences of refugees to specific job performance facets has mainly been ignored. To close the research gap, a study with refugees living in Germany was conducted to examine to what extent trauma-related variables are relevant to performance variables.Design/methodology/approachThe relationship between post-traumatic stress (PTS), post-traumatic growth (PTG) and adaptive performance (social and task-oriented adaptive performance) was examined as, nowadays, many activities require dealing with changes (e.g. new colleagues, new technologies). Sixty-nine people met the inclusion criteria (e.g. refugee status, traumatic experiences) and completed the survey. Data were analysed using the Bayesian approach.FindingsBayesian analyses revealed that PTG might promote both social and task-oriented adaptive performance. In contrast, PTS was negatively related to task-oriented adaptive performance. Furthermore, there was no substantial evidence that PTG moderates the relationship between PTS and adaptive performance. Furthermore, there is preliminary evidence that refugees do not differ substantially from the general population with respect to social adaptive performance.Originality/valueThe present study demonstrates for the first time the relevance of post-traumatic experiences to the adaptive performance of refugees.
CNN-BERT for measuring agreement between argument in online discussion
Authors: Harly William , Girsang Abba Suganda 
Published: August 2022

Purpose
With the rise of online discussion and argument mining, methods that are able to analyze arguments become increasingly important. A recent study proposed the usage of agreement between arguments to represent both stance polarity and intensity, two important aspects in analyzing arguments. However, this study primarily focused on finetuning bidirectional encoder representations from transformer (BERT) model. The purpose of this paper is to propose convolutional neural network (CNN)-BERT architecture to improve the previous method.

Design/methodology/approach
The used CNN-BERT architecture in this paper directly uses the generated hidden representation from BERT. This allows for better use of the pretrained BERT model and makes finetuning the pretrained BERT model optional. The authors then compared the CNN-BERT architecture with the method proposed in the previous study (BERT and Siamese-BERT).

Findings
Experiment results demonstrate that the proposed CNN-BERT is able to achieve a 71.87% accuracy in measuring agreement between arguments. Compared to the previous study that achieve an accuracy of 68.58%, the CNN-BERT architecture was able to increase the accuracy by 3.29%. The CNN-BERT architecture is also able to achieve a similar result even without further pretraining the BERT model.

Originality/value
The principal originality of this paper is the proposition of using CNN-BERT to better use the pretrained BERT model for measuring agreement between arguments. The proposed method is able to improve performance and also able to achieve a similar result without further training the BERT model. This allows separation of the BERT model from the CNN classifier, which significantly reduces the model size and allows the usage of the same pretrained BERT model for other problems that also did not need to finetune their BERT model.
Influence of medical-grade montmorillonite on the tribological and safety performance of composite aluminum-based grease
Authors: Qian Shanhua , Gong Longfei , Wang Wei , Ni Zifeng , Ren Haidong 
Published: August 2022

Purpose
This study aims to reduce the harm of industrial lubricants to consumers. Composite aluminum-based grease (CAG) was prepared, and medical-grade montmorillonite (M-MMT) was used to improve the antiwear performance of the prepared grease.

Design/methodology/approach
The influence of the additive (M-MMT) on the tribological performance is mainly investigated using a ball-disc wear tester, and the wear scar surface about the disc was characterized by white light interferometer and electrochemical workstation. Moreover, the cell viability test was used to evaluate the safety of the grease.

Findings
The results indicated that for the grease containing 1.5% M-MMT, the average coefficient of friction was reduced by about 46% compared with the CAG, the wear volume of the disc reduced by about 74%. Moreover, CAG and 1.5% M-MMT-containing CAG were proved safety by means of the cell viability test.

Originality/value
The integral properties of CAG can be improved with the medical-grade materials as the additives, while ensuring the safety.
Working together, thinking differently? HRM practices and trust in the health care context
Authors: Gur Amit , Tzafrir Shay S. 
Published: August 2022

PurposeProviding health care services requires collaboration between several occupations. This study aimed to reveal how three occupational groups (nurses, physicians, and administrators) perceive human resources management practices (HRMP) and whether these practices are differently associated with trust in the clinic manager.Design/methodology/approachThe study included 290 employees from 29 primary care clinics, all affiliated with a health care organisation that operates in the public sector. Self-reporting questionnaires measured participants’ perceptions of six HRMP across occupations and their association with trust in the clinic manager. Variation between occupational groups was analysed through one-way analysis of variance (for groups’ perceptions of HRMP and trust in manager) andt-tests (for the association between perceived HRMP and trust in manager).FindingsThe results indicate some differences in perceived HRMP and trust across groups. Also, some differences were found across occupations regarding the relationship between HRMP and trust in the clinic manager: Nurses’ perceptions significantly differed from those of physicians and administrators, yet there was no significant difference between the two latter groups.Practical implicationsHealth care organisations should expand their human resources architecture and customise their HRMP for each occupational group based on that group’s perceptions of the workplace. This can nurture trust in managers and create a climate for trust as a mechanism that encourages employees from distinct occupational groups to work together for the benefit of their clinic, organisation, and patients.Originality/valueThis study contributes to the discussion about the contextualisation of HRMP, providing insights regarding perceptions of HRMP as an enabler of an organisation’s strategy.
Teaching research data management courses in higher learning institutions in Tanzania
Authors: Mosha Neema Florence , Ngulube Patrick 
Published: August 2022

PurposeThe study investigated teaching research data management (RDM) courses in higher learning institutions (HLIs) in Tanzania to enable postgraduate students to work with their research data.Design/methodology/approachThe study triangulated research methods. Postgraduate students were investigated using survey questionnaires to learn about their needs and perceptions of the teaching RDM courses in HLIs. Key informants (academicians, information and communication technologists and library staff) were also investigated using in-depth interviews to explore their experiences and knowledge of teaching RDM courses. SPSS statistical software was used for analysing quantitative data; qualitative data were analysed thematically.FindingsA total of 70 questionnaires were distributed to postgraduate students with a returning rate of 44 (69%). On the other hand, 12 key informants were interviewed. A low level of RDM literacy was revealed among 38 (86%) respondents. Most respondents 40 (91%) reported the need for HLIs to start teaching RDM courses. A lack of skills and knowledge in teaching RDM courses was revealed among key informants. The competency-based, adaptive and constructive teaching techniques were selected for teaching RDM courses, whereas intensive training and online tutorials were revealed as teaching formats.Research limitations/implicationsThis study focused on teaching RDM courses in HLIs. The survey questionnaires were distributed to all 2nd year postgraduate students, however, the findings cannot be generalised to all postgraduate students due to the response rate obtained. The findings obtained from key informants can also not be used as a basis for generalization across HLIs.Practical implicationsThis study concluded that postgraduate students need to be well equipped with skills and knowledge on RDM and its related concepts; teaching RDM courses should be regarded as a continuous programme for benefit of students, researchers and the community at large.Social implicationsAppropriate teaching of RDM courses among students not only ensures that students meet the funders’ and publishers’ requirements, but also encourages students to store and share their research among researchers worldwide; thus increasing collaboration and visibility of the datasets and data owners through data citations and acknowledgements.Originality/valueThis is a comprehensive study that provides findings for HLIs to teach RDM courses in HLIs, especially for postgraduate students. The findings revealed the need for teaching RDM courses in HLIs. The study provides the basis for further RDM research in HLIs and research institutions.
Is agricultural development good for carbon mitigation in India? Evidence from the asymmetric NARDL model
Authors: Zafar Shadman , Rasool Haroon , Tarique Md. 
Published: August 2022

PurposeThe main objective of the present study is to figure out the effect of agricultural development on environmental pollution in the Indian context over the period 1970 to 2018. The study also tests the applicability of pollution haven hypothesis.Design/methodology/approachTo begin with, the authors test the stationarity of the variables by using the DF-GLS and KPSS tests. To examine the relationship between agricultural development and carbon emissions, the study applies nonlinear autoregressive distributed lag cointegration test developed by Shin et al. (2014). The study also applies Wald test to test the asymmetry between agriculture and environmental pollution.FindingsThe findings of this study indicate that agricultural development in India is good for carbon mitigation in the long run whereas energy consumption degrades the environment. The findings document the existence of an asymmetric association between agricultural development and environmental pollution. Furthermore, the results did not find any presence of pollution haven hypothesis for India.Originality/valueThis is the only empirical work that assesses the contribution of agricultural sector to carbon mitigation in the Indian context. The novelty of the study is further ensured by the very nature that it is the first study that examines the effect of agricultural sector on environment in an asymmetric configuration.
Decrypting IPO pricing: an integrated bibliometric and content analysis approach
Authors: Joshipura Mayank , Mathur Sachin , Gwalani Hema 
Published: August 2022

PurposeSince 2018, there has been a resurgence in initial public offering (IPO) pricing studies. The authors aim to consolidate the knowledge and explore current dynamics, understand knowledge progression, elicit trends, and provide future research directions for IPO pricing research.Design/methodology/approachThe authors conducted a two-stage hybrid review based on 512 high-quality Scopus articles on IPO pricing published over the last decade. The authors deploy bibliometric analysis, and then, based on 61 curated articles, the authors conduct content analysis and offer future research directions.FindingsFour key research streams emerged: information asymmetry, agency problems, legal, regulatory, and social environment, and behavioral finance. Future research may focus on behavioral explanations for IPO underpricing, the role of investor sentiment in IPO pricing, text analytics, machine learning, and big data in alleviating information asymmetry and agency problems. The authors summarize and present content analysis using the classic Theory, Context, Characteristics, Methods (TCCM) framework.Research limitations/implicationsUsing different databases, bibliometric analysis tools, sample period or article screening criteria for the study might give different results. However, the study's major findings are robust to alternative choices.Practical implicationsThis study serves as a ready reckoner for the research scholars, practitioners, regulators, policymakers, and investors interested in understanding the nuances of IPO pricing.Originality/valueThe study sheds light on the most influential documents, authors, and journals, offers an understanding of knowledge structure, identifies and discusses primary research streams and related implications, and provides future research directions.
Co-creation as choreography
Authors: Haanpää Minni 
Published: August 2022

Purpose
This study aims to propose a novel concept of choreography as a way of understanding co-creation of value and thus develops the spatial analytical dimensions of co-creation theorising.

Design/methodology/approach
This conceptual paper contemplates the meanings and possibilities of leveraging the theoretical underpinnings of value co-creation, from the viewpoint of value-in-experience.

Findings
The concept of choreography opens up a way to read knowledge as movement. It enables a way to elaborate on both the phenomenological and non-representational aspects of co-creation processes. Conceptualising co-creation through such a lens, where knowing is seen as an on-going, spatio-temporal and affective process formed in movement, posits opportunities to further understand the value co-creation practices of experiences. Choreography gives access to the kinaesthetic and affective nature of knowing gained in and through different spatio-temporal contexts and can, in turn, be mobilised in others.

Originality/value
Only a few studies have conceptualised co-creation in relation to a spatio-temporal phenomenon. Notably, this study connects co-creation with mobilities and thus constructs a novel view of knowledge and value creation.
Grazing alters seedling emergence number, dynamics, and diversity of herbaceous plants in a semiarid sandy grassland
Authors: He Yuhui , Liu Xinping , Wang Mingming , Sun Shanshan , Cheng Li 
Published: August 2022

AbstractOvergrazing in semiarid grassland is a major cause of vegetation degradation. Understanding the changes in seedling patterns driven by grazing is crucial to unveiling mechanisms of plant community regeneration and succession in grazed grassland. However, the dynamics of seedling emergence and species diversity under grazing are rarely studied. This study used periodical field investigation to examine the variation in seedling emergence, plant diversity, species composition, and seedling survival of herbaceous plants under four grazing intensities, including light (LG), moderate (MG), heavy (HG), and non‐grazed (NG), in a semiarid sandy grassland. The results showed that seedling number and density were significantly higher in HG plots, while the seedling survival rate was significantly lower in HG, and that seedling emergence dynamics varied with grazing. Seventy‐five percent of the seedlings in HG emerged during early spring in April, while approximately 50% of the seedlings in LG, MG, and NG emerged in May. Differences in species richness and diversity varied with growth stages and the diversity was always higher in LG than in other grazing habitats during the main growing season. Annual forb seedlings increased while annual grass seedlings decreased after grazing with no perennial grass seedlings in HG. Our study suggests that high seedling emergence but low seedling survival rate, and simple species composition especially the disappearance of perennial plants caused by HG may be an important factor leading to vegetation degradation in the semiarid grazed grassland.
Clinical performance of primary HPV screening cut‐off for colposcopy referrals in HPV‐vaccinated cohort: Observational study
Authors: Beecroft Marikka , Gurumurthy Mahalakshmi , Cruickshank Margaret E. 
Published: August 2022

AbstractObjectiveTo understand the effect of changing from cytology‐based to primary HPV screening on the positive predictive value (PPV) of colposcopy referrals for cervical intraepithelial neoplasia (CIN) in a cohort offered HPV vaccination.DesignRetrospective pre/post observational cohort study.SettingScotland.Population or sample2193 women referred to colposcopy between September 2019 and February 2020 from cytology‐based screening and between September 2020 and February 2021 from primary high‐risk HPV (hrHPV) screening.MethodsCalculating positive predictive values (PPVs) for two cohorts of women; one having liquid‐based cytology screening and the other, the subsequent hrHPV cervical screening as a pre/post observational study.Main outcome measuresPositive predictive values of LBC and hrHPV cut‐offs for colposcopy referral for CIN at colposcopy.ResultsThree papers fitted our criteria; these reported results only for cytology‐based screening. The PPV was lower for women in HPV‐vaccinated cohorts indicating a lower prevalence of disease. Vaccination under the age of 17 had the lowest PPV reported. Scottish colposcopy data concerning hrHPV and cytology showed a non‐significant difference between PPV (17.5%, 95% CI 14.3–20.7, and 20.6, 95% CI 16.7–24.5, respectively) for referrals with a cut‐off of low grade dyskaryosis (LGD); both met the standard set of 8–25%. The hrHPV PPV (66.7, 95% CI 56.8–76.6) was comparable to cytology (64.1, 95% CI 55.8–72.4) for referrals with a cut‐off of high grade dyskaryosis (HGD) but neither met the standard set of 77–92%.ConclusionsCurrent literature only provides PPVs for LBC and, overall, the vaccinated cohort had lower PPVs. Only LG dyskaryosis met PHE criteria. The PPV for HPV‐vaccinated women undergoing either LBC or HR‐HPV screening were not statistically different. However, similar to papers in the current literature, HG dyskaryosis (HGD) PPVs of both techniques did not meet the PHE threshold of 76.6–91.6% outlined in the cervical standards data report.
The impact of preoperative ultrasound and intraoperative findings on surgical outcomes in patients at high risk of placenta accreta spectrum
Authors: Hussein Ahmed M. , Fox Karin , Bhide Amar , Elbarmelgy Rasha A. , Elbarmelgy Rana M. , Thabet Mohamed M. , Jauniaux Eric 
Published: August 2022

AbstractObjectiveTo assess whether preoperative ultrasound imaging and intraoperative features predict surgical outcomes in patients at high risk for placenta accreta spectrum (PAS).DesignCohort study.SettingCairo University Maternity, Egypt.Population or samplePregnant patients with one or more prior caesarean deliveries presenting with a low‐lying/placenta praevia with or without PAS confirmed by histopathology.MethodsLogistic regression and multivariable analyses.Main outcomes measuresNeed for primary caesarean hysterectomy, numbers of red blood cell (RBC) units transfused and patients requiring transfusion of >5 units.ResultsNinety consecutive records were reviewed, including 58 (64.4%) PAS cases. Sixty (66.7%, 95% confidence interval (CI) 56–76) required hysterectomy. Odds of hysterectomy were significantly (p = 0.005) increased with complete praevia. Significantly higher odds of hysterectomy were associated with subplacental hypervascularity (7.23, 95% CI 2.72–19.2, p < 0.001), lacunar scores 2+ and 3+ (12.6, 95% CI 4.15–38.5, p < 0.001), lacunar feeder vessels (5.69, 95% CI 1.77–18.3, p = 0.004) or bridging vessels (2.00, 95% CI 1.29–3.10, p = 0.002) on ultrasound, and increased lower segment vascularization at laparotomy (5.42, 95% CI 2.09–14.1, p = 0.001). Transfusion >5 RBC units was associated with number of lacunae (odds ratio [OR] 1.48, 95% CI 1.14–1.93, p = 0.004) and presence of feeder vessels (OR 1.62, 95% CI 1.24–2.11, p = 0.001). The multivariable analysis indicated that parity, placental location and PAS were significantly (p = 0.007; p = 0.01; p < 0.001, respectively) associated with hysterectomy.ConclusionsPreoperative ultrasound imaging can assist in triaging and counselling patients regarding the odds of PAS, intraoperative blood losses and need for hysterectomy, and intraoperative features can assist the surgeon in evaluating the need for multidisciplinary support.