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Gender and geographical imbalance in production and impact levels is a pressing issue in global knowledge production. Within Health Sciences, while some studies found stark gender and geographical biases and inequalities, others found little empirical evidence of this marginalization. The purpose of the study is to clear the ambiguity concerning the topic.

Based on a comprehensive and systematic analysis of Health Sciences research data downloaded from the Scival (Scopus/Scimago) database from 2017 to 2020 (n = 7,990), this study first compares gender representation in research productivity, as well as differences in terms of citation per document, citations per document view and view per document scores according to geographical location. Additionally, the study clarifies whether there is a geographic bias in productivity and impact measures (i.e. citation per document, citations per document view and view per document) moderated by gender.

Results indicate that gender inequalities in productivity are systematic at the overall disciplinary, as well as the subfield levels. Findings also suggest statistically significant geographical differences in citation per document, citations per document view, and view per document scores, and interaction effect of gender over the relation between geography and (1) the number of citations per view and (2) the number of views per document.

This study contributes to scientometric studies in health sciences by providing insightful findings about the geographical and gender bias in productivity and impact across world regions.

This study aims to understand workplace conflict outcomes (WCO) literature and identify the research gaps by mapping its knowledge base and theoretical evolution.

This study combines bibliometric and qualitative analysis and encompasses 1,043 Scopus-indexed documents published between 1972 and 2022. The bibliometric analysis used VOSviewer, Excel and Tableau software for descriptive statistics, citation and co-citation analyses of publication patterns, authors, documents and journals. The qualitative analysis critiqued main theoretical perspectives and topical interests.

This study revealed a significant increase in literature after 2000, with authors representing 70 societies, primarily the USA, China, Australia, Canada and the Netherlands. Influential authors and their canonical articles were identified, including Jehn, De Dreu, Spector, Amason and Pelled. Highly cited articles focused on task, relationship, role and process conflict. Four main theoretical schools were categorized: conflict type paradigm, individual differences, conflict cooccurrence and conflict dynamics. Influential journals spanned psychology, management, negotiation and decision-making and business and marketing fields, including JAP, AMJ, ASQ, JM, JOB, AMR, IJCMA and OS.

This study provides implications for future bibliometric analyses, theoretical and empirical studies, practitioners and society based on its quantitative and qualitative findings.

To the best of the authors’ knowledge, this study represents the first bibliometric review of WCO literature, serving as a baseline for tracking the field’s evolution and theoretical advancements.

We have developed in this paper a morphological disambiguation hybrid system for the Arabic language that identifies the stem, lemma and root of a given sentence words. Following an out-of-context analysis performed by the morphological analyser Alkhalil Morpho Sys, the system first identifies all the potential tags of each word of the sentence. Then, a disambiguation phase is carried out to choose for each word the right solution among those obtained during the first phase. This problem has been solved by equating the disambiguation issue with a surface optimization problem of spline functions. Tests have shown the interest of this approach and the superiority of its performances compared to those of the state of the art.

There is need for definitional clarity when using psychological concepts in tourism research. The same term used in ‘folk psychology’, or behavioural or cognitive psychology can have quite different definitions and associated paradigmatic assumptions. This chapter argues that an understanding of mainstream cognitive psychology is needed when using concepts that are within its explanatory scope. Emotion is one such concept that has been extensively studied in cognitive psychology. The chapter discusses emotion and related terms such as feelings, novelty, unexpectedness and surprise to provide conceptual clarity. This will benefit researchers studying psychology of tourism emotions, tourism behaviour and decision-making.

ORCID is well recognised as a Persistent Identifier (PID) amongst the global academic community. The international literature is generally extremely positive towards this development. A minority of vociferous critics however have continued to dispute its benefits. Particular concerns have been noted around the potential for ORCID to be used as a tool for evaluation and surveillance by University management structures. This research sought to critically evaluate in-depth perceptions of ORCID in the Technological University (TU) sector in Ireland.

This study involved ten semi-structured interviews with academics and five with librarians in the TU sector. Reflexive thematic analysis informed by Heideggerian hermeneutic phenomenological principles was used to explore transcribed interview data.

The results demonstrate a clear difference in perceptions concerning ORCID, with library staff being very positive and uncritical, even arguing for mandatory adoption. Although some academics were using ORCID IDs in a performative manner, most were suspicious of, or resigned to their use. Concerns about ORCID ranged across various issues including employer surveillance, a lack of institutional autonomy and its inappropriateness for the sector. It is argued that academics in the TU sector have so far not had an opportunity to fully explore and articulate their vision for the future. In its current form ORCID represents a foreign, imposed and inappropriate tool that may facilitate willing or unwilling inclusion in the inequitable and crude “game” of global university league tables.

The paper offers an in-depth and critical analysis of ORCID adoption in Ireland based on perceptions amongst two stakeholder groups: academics and librarians.

The composition of author teams is a significant factor affecting the novelty of academic papers. Existing research lacks studies focusing on institutional types and measures of novelty remained at a general level, making it difficult to analyse the types of novelty in papers and to provide a detailed explanation of novelty. This study aims to take the field of natural language processing (NLP) as an example to analyse the relationship between team institutional composition and the fine-grained novelty of academic papers.

Firstly, author teams are categorized into three types: academic institutions, industrial institutions and mixed academic and industrial institutions. Next, the authors extract four types of entities from the full paper: methods, data sets, tools and metric. The novelty of papers is evaluated using entity combination measurement methods. Additionally, pairwise combinations of different types of fine-grained entities are analysed to assess their contributions to novel papers.

The results of the study found that in the field of NLP, for industrial institutions, collaboration with academic institutions has a higher probability of producing novel papers. From the contribution rate of different types of fine-grained knowledge entities, the mixed academic and industrial institutions pay more attention to the novelty of the combination of method indicators, and the industrial institutions pay more attention to the novelty of the combination of method tools.

This paper explores the relationship between the team institutional composition and the novelty of academic papers and reveals the importance of cooperation between industry and academia through fine-grained novelty measurement, which provides key guidance for improving the quality of papers and promoting industry–university–research cooperation.

This chapter introduces the cognitive paradigm. The concept of translation and associated problems is discussed. Several arguments for the adoption of a cognitive-based social sciences are provided. A brief history of the term cognition is provided and the origin of theory in tourism discussed. Justifications for the use of cognitive psychology in the field of tourism are provided. These include the (mostly) hedonic and hence emotional nature of tourism experiences, the novelty of travel outside one's usual environment, the importance of imagining, daydreams, emotions and desire for travel decisions and the importance of autobiographical memories because of travel.

This study aims to determine if automated coding with regular expression is a strong methodology to identify themes in virtual reference chat.

The authors used a combination of manual and automated coding of chat transcripts for a period of two years to identify the categories of questions related to the new library system. This methodology enabled them to determine if regular expression accurately identified the topics of chat transcripts.

They discovered that regular expression is an appropriate method to identify themes in virtual reference interactions. This method enabled them to establish that patrons asked questions related to system changes in the weeks following their implementations.

This study highlights a new methodology for transcript analysis.

This study aims to highlight the growth and development of Indo-German collaborative research over the past three decades. Moreover, this study encompasses an in-depth examination of funding acknowledgements to gain valuable insights into the financial support that underpins these collaborative endeavours. Together with this paper, the authors provide an openly accessible data set of Indo-German research papers for further and reproducible research activities (the “Indo-German Literature Dataset”).

The data were retrieved from the Web of Science (WoS) database from the year 1990 till the 30th of November 2022. A total of 36,999 records were retrieved against the used query. Acknowledged entities were extracted using a named entity recognition (NER) model specifically trained for this task. Interrelations between the extracted entities and scientific domains, lengths of acknowledgement texts, number of authors and affiliations, number of citations and gender of the first author, as well as collaboration patterns between Indian and German funders were examined.

The study reveals a consistent and increasing growth in the publication trend over the years. The study brings to light that Physics, Chemistry, Materials Science, Astronomy and Astrophysics and Engineering prominently dominate the Indo-German collaborative research. The USA, followed by England and France, are the most active collaborators in Indian and German research. Largely, research was funded by major German and Indian funding agencies, international corporations and German and American universities. Associations between the first author’s gender and acknowledged entity were observed. Additionally, relations between entity, entity type and scientific domain were discovered.

The study paves the way for enhanced collaboration, optimized resource utilization and societal advantages by offering a profound comprehension of the intricacies inherent in research partnerships between India and Germany. Implementation of the insights gleaned from this study holds the promise of cultivating a more resilient and influential collaborative research ecosystem between the two nations.

The study highlights a deeper understanding of the composition of the Indo-German collaborative research landscape of the past 30 years and its significance in advancing scientific knowledge and fostering international partnerships. Furthermore, the authors provide an open version of the original WoS data set. The Indo-German Literature Data set consists of 22,844 papers from OpenAlex and is available for related studies like literature studies and scientometrics.