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1 – 10 of 27Xiaobo Tang, Heshen Zhou and Shixuan Li
Predicting highly cited papers can enable an evaluation of the potential of papers and the early detection and determination of academic achievement value. However, most highly…
Abstract
Purpose
Predicting highly cited papers can enable an evaluation of the potential of papers and the early detection and determination of academic achievement value. However, most highly cited paper prediction studies consider early citation information, so predicting highly cited papers by publication is challenging. Therefore, the authors propose a method for predicting early highly cited papers based on their own features.
Design/methodology/approach
This research analyzed academic papers published in the Journal of the Association for Computing Machinery (ACM) from 2000 to 2013. Five types of features were extracted: paper features, journal features, author features, reference features and semantic features. Subsequently, the authors applied a deep neural network (DNN), support vector machine (SVM), decision tree (DT) and logistic regression (LGR), and they predicted highly cited papers 1–3 years after publication.
Findings
Experimental results showed that early highly cited academic papers are predictable when they are first published. The authors’ prediction models showed considerable performance. This study further confirmed that the features of references and authors play an important role in predicting early highly cited papers. In addition, the proportion of high-quality journal references has a more significant impact on prediction.
Originality/value
Based on the available information at the time of publication, this study proposed an effective early highly cited paper prediction model. This study facilitates the early discovery and realization of the value of scientific and technological achievements.
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Nedra Ibrahim, Anja Habacha Chaibi and Henda Ben Ghézala
Given the magnitude of the literature, a researcher must be selective of research papers and publications in general. In other words, only papers that meet strict standards of…
Abstract
Purpose
Given the magnitude of the literature, a researcher must be selective of research papers and publications in general. In other words, only papers that meet strict standards of academic integrity and adhere to reliable and credible sources should be referenced. The purpose of this paper is to approach this issue from the prism of scientometrics according to the following research questions: Is it necessary to judge the quality of scientific production? How do we evaluate scientific production? What are the tools to be used in evaluation?
Design/methodology/approach
This paper presents a comparative study of scientometric evaluation practices and tools. A systematic literature review is conducted based on articles published in the field of scientometrics between 1951 and 2022. To analyze data, the authors performed three different aspects of analysis: usage analysis based on classification and comparison between the different scientific evaluation practices, type and level analysis based on classifying different scientometric indicators according to their types and application levels and similarity analysis based on studying the correlation between different quantitative metrics to identify similarity between them.
Findings
This comparative study leads to classify different scientific evaluation practices into externalist and internalist approaches. The authors categorized the different quantitative metrics according to their types (impact, production and composite indicators), their levels of application (micro, meso and macro) and their use (internalist and externalist). Moreover, the similarity analysis has revealed a high correlation between several scientometric indicators such as author h-index, author publications, citations and journal citations.
Originality/value
The interest in this study lies deeply in identifying the strengths and weaknesses of research groups and guides their actions. This evaluation contributes to the advancement of scientific research and to the motivation of researchers. Moreover, this paper can be applied as a complete in-depth guide to help new researchers select appropriate measurements to evaluate scientific production. The selection of evaluation measures is made according to their types, usage and levels of application. Furthermore, our analysis shows the similarity between the different indicators which can limit the overuse of similar measures.
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Qian Yang, Xukang Shen, Yanhui Song and Shiji Chen
This paper aims to explore the citation aging pattern of Library and Information Science (LIS) and further investigate the impact of interdisciplinary citation on the aging of…
Abstract
Purpose
This paper aims to explore the citation aging pattern of Library and Information Science (LIS) and further investigate the impact of interdisciplinary citation on the aging of scientific literature.
Design/methodology/approach
The study examines LIS journal articles published between 2016 and 2020. Articles were retrieved from the Web of Science (WoS) and were organized using Scopus's discipline classification system. Citation aging patterns within LIS are described using literature aging indicators. The study examines the effect of interdisciplinary citations on the literature aging pattern by comparing the half-life of LIS literature and the median age of interdisciplinary citations.
Findings
The study results show that the citation aging rate of LIS in the last five years has been slow, and the rate of slowing down is decreasing. Interdisciplinary citations are sourced from various disciplines, focusing on computer science, social sciences and business. The proportion of self-citations is declining. The Reference Diversity Index (RDI) increases from 0.690 to 0.724 between 2016 and 2020. Currently, the median age of interdisciplinary citations is higher than the LIS's half-life. It has a diminishing effect on the citation aging rate. But the median age of interdisciplinary citations is decreasing. The interdisciplinary citation may contribute to the literature aging rate in the future. The effect of interdisciplinary citation on literature aging needs to be judged dialectically.
Research limitations/implications
This study still has some limitations. Due to the wide variety of citation journals in LIS, there is no database to cover all journals, so it is impossible to match all citation journals with disciplines. Therefore, it is still feasible to analyze interdisciplinary citations based on the two-eight principle for large-scale data. This approach necessarily sacrifices some of the precision of the study. However, the results of this paper can still be helpful for the development of the discipline. In addition, LIS is a discipline with solid cross-cutting properties, and this paper concludes only with this interdisciplinary discipline in mind. It is necessary to test the applicability of the findings to other disciplines.
Originality/value
The study explores the impact of interdisciplinary citation on literature aging from a professional communication perspective. The results reveal underlying reasons for the aging of scientific literature. These findings further enrich the study of the effect of interdisciplinary communication.
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It is unclear whether regional rather than global or discipline-focussed preprint platforms as an innovation in the communication of science are removing any of the barriers faced…
Abstract
Purpose
It is unclear whether regional rather than global or discipline-focussed preprint platforms as an innovation in the communication of science are removing any of the barriers faced by researchers in the scientific periphery or whether they are increasing access to and visibility of science from the periphery. In response, this paper focusses on the uptake, visibility and academic impact of regional preprint publishing platforms in two peripheral regions (Africa and Latin America) to gain insights into the use and possible impact of regional preprint servers.
Design/methodology/approach
Comparative quantitative analysis using bibliometric and altmetric data to compare six preprint servers (two regional, one global and three discipline-specific).
Findings
There is evidence of the uptake of regional preprint servers, but the uptake is comparatively modest compared with global and discipline-focussed preprint servers. The academic and social visibility of preprints available on regional preprint servers is comparatively lower when compared to other preprint servers. The preprint server SciELO preprint in comparison to AfricArxiv shows signs of increasing growth and visibility, but more time is required to reach any definitive conclusions.
Research limitations/implications
The research is limited by the short timeframe that the regional preprint servers have existed compared to some of the other preprint servers. The absence of reliable data on the research populations by region or globally by discipline places limits on the comparability of the raw data.
Originality/value
The article provides for the first time a detailed empirical analysis of the contribution of preprint servers targeted at researchers from the scientific periphery to global science.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2023-0153
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Alexander Serenko and Nick Bontis
This study explores the use and perceptions of scholarly journal ranking lists in the management field based on stakeholders’ lived experience.
Abstract
Purpose
This study explores the use and perceptions of scholarly journal ranking lists in the management field based on stakeholders’ lived experience.
Design/methodology/approach
The results are based on a survey of 463 active knowledge management and intellectual capital researchers.
Findings
Journal ranking lists have become an integral part of contemporary management academia: 33% and 37% of institutions and individual scholars employ journal ranking lists, respectively. The Australian Business Deans Council (ABDC) Journal Quality List and the UK Academic Journal Guide (AJG) by the Chartered Association of Business Schools (CABS) are the most frequently used national lists, and their influence has spread far beyond the national borders. Some institutions and individuals create their own journal rankings.
Practical implications
Management researchers employ journal ranking lists under two conditions: mandatory and voluntary. The forced mode of use is necessary to comply with institutional pressure that restrains the choice of target outlets. At the same time, researchers willingly consult ranking lists to advance their personal career, maximize their research exposure, learn about the relative standing of unfamiliar journals, and direct their students. Scholars, academic administrators, and policymakers should realize that journal ranking lists may serve as a useful tool when used appropriately, in particular when individuals themselves decide how and for what purpose to employ them to inform their research practices.
Originality/value
The findings reveal a journal ranking lists paradox: management researchers are aware of the limitations of ranking lists and their deleterious impact on scientific progress; however, they generally find journal ranking lists to be useful and employ them.
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Sandip Mukhopadhyay, Jason Whalley, Ritesh Pandey and Vinodhini Ranganathan
In parallel with the rising importance of innovation and digital technologies, research on platform ecosystems is rapidly accumulating. This study aims to summarize the current…
Abstract
Purpose
In parallel with the rising importance of innovation and digital technologies, research on platform ecosystems is rapidly accumulating. This study aims to summarize the current research published in leading technical and innovation management (TIM) journals and provide recommendation for future research.
Design/methodology/approach
In this paper, the authors combine multiple quantitative literature review methods (social network analysis, citation analysis and co-citation analysis) with a systematic literature review of articles published in the 13 most influential TIM journals over a 15-year period.
Findings
The citation network of 168 selected papers is sparse, with low network density indicating the emerging nature of the field. Using network centrality values, the authors identified the 33 most influential articles. The review of methodologies in these articles found that conceptual and case study research dominate, suggesting the need for additional confirmatory and quantitative analysis. Co-citation analysis of the references identified six research clusters: foundation, network-centric innovation, complementor management, platform competition, ecosystemsand product platforms.
Originality/value
This analysis is among the first to examine the knowledge structure of platform ecosystem research in the TIM domain by using multiple evidence-based analysis methods. The authors also apply the theory, context, characteristics and methodology framework to suggest areas for future research.
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Muhammad Ashraf Fauzi, Fazeeda Mohamad and Norwazli Abdul Wahab
The purpose of this study is to review the application of social media for knowledge sharing (KS) in higher education. KS is the most crucial component in knowledge management…
Abstract
Purpose
The purpose of this study is to review the application of social media for knowledge sharing (KS) in higher education. KS is the most crucial component in knowledge management. Higher education institutions (HEIs) are the epitome of knowledge creation and acquisition. With the advancement in technology and the embracement of social media, knowledge should be shared more freely and easily.
Design/methodology/approach
Using a bibliometric analysis, this study applies bibliographic coupling and co-word analysis to analyze the present and future trends on KS using social media in HEIs. 455 journal publications and 21,181 cited references were retrieved from Web of Science (WoS) database.
Findings
Findings show that most themes are categorized towards academics and students. Themes related to academics are the use of social media for expertise sharing and KS's impact on university-industry networking. In contrast, themes related to students revolved around the impacts of social media and academic performance.
Practical implications
Implications towards major social media practices on KS are discussed.
Originality/value
This study provides a novel, state-of-the-art bibliometric review of knowledge sharing via social media in the higher education context.
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The purpose of this study is to review cyberbullying incidents among students in higher education institutions (HEIs). Cyberbullying has become a threat to students' wellbeing as…
Abstract
Purpose
The purpose of this study is to review cyberbullying incidents among students in higher education institutions (HEIs). Cyberbullying has become a threat to students' wellbeing as it penetrates one life due to the pervasive availability of digital technologies.
Design/methodology/approach
Through a bibliometric analysis, this study analyzes 361 journal publications from the Web of Science (WoS) based on bibliographic coupling and co-word analysis.
Findings
Significant themes were found related to cyberbullying in HEIs, particularly related to the impact and determinants of cyberbullying on students. Bibliographic coupling produces three clusters on the current research fronts, while co-word analysis produces four clusters on the prediction of future trends. Implications of this phenomenon warrant comprehensive intervention by the HEIs management to dampen its impact on students' wellbeing. Findings would enhance the fundamental understanding through science mapping on the prevalent and potential incidence of cyberbullying.
Practical implications
Crucial insights will benefit the government, HEIs’ management, educators, scholars, policymakers and parents to overcome this dreadful phenomenon of cyberbullying. Several managerial interventions and mitigation strategies are proposed to reduce and control the occurrence of cyberbullying.
Originality/value
This study presents a bibliometric review to uncover the knowledge structure of cyberbullying studies in HEIs.
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Mohd Nazim Mat Nawi, Muhammad Ashraf Fauzi, Irene Wei Kiong Ting, Walton Wider and Gabari Barry Amaka
This study provide an in-depth review on the knowledge structure of green information technology (GIT) adoption and behavior. Environmental degradation has escalated even further…
Abstract
Purpose
This study provide an in-depth review on the knowledge structure of green information technology (GIT) adoption and behavior. Environmental degradation has escalated even further with information and digital technology development. Researchers have come up with a new concept of GIT to dampen the carbon emission due to the excessive use of IT in today’s everyday usage. A similar terminology, green information system (GIS), is a rather broad understanding of GIT, which relates to the environmental management system to improve operations in the organization and will be included in the scope of the study.
Design/methodology/approach
This study presents a science mapping analysis through a bibliometric review to explore emerging trends and predict future trends based on 293 publications in the Web of Science.
Findings
The bibliographic coupling analysis discovered five themes related to the theoretical foundation of GIT and the determinants of their adoption. The five themes are (1) theoretical foundation in GIT, (2) determinants of green IT and IS adoption, (3) fundamental of GIT and information science, (4) green technologies and green computing and (5) determinants of managers green IT adoption behavior. While co-word analysis presents the impact of GIT, driving performance and energy efficiency through the adoption of GIT producing four themes, (1) GIT acceptance through the theory of planned behavior, (2) impact of GIT’s: strategies for sustainable implementation, (3) driving sustainable performance through green innovation in information systems and technology and (4) energy efficiency and sustainability in green computing and cloud computing.
Research limitations/implications
The finding is relevant to managers, researchers and stakeholders bounded by environmental responsibilities to mitigate its impact on the socioeconomic and environment through GIT adoption.
Originality/value
The contribution of this study is presenting an in-depth analysis of the knowledge structure through bibliometric analysis by providing network visualization on one of the crucial pro-environmental behavior.
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Muhammad Ashraf Fauzi, Zuria Akmal Saad, Mohd Hanafiah Ahmad, Muhammad Zorif Fauzi and Md Faizal Ahmad
This study aims to evaluate the knowledge structure of knowledge management (KM) applications within small and medium enterprises (SMEs). In pursuit of excellence, SMEs must adopt…
Abstract
Purpose
This study aims to evaluate the knowledge structure of knowledge management (KM) applications within small and medium enterprises (SMEs). In pursuit of excellence, SMEs must adopt KM like large corporations, even with limited resources.
Design/methodology/approach
Through a bibliometric approach, this study evaluates current themes based on bibliographic coupling analysis and predicts future trends based on coword analysis. A total of 726 documents and 2,658 keywords were derived from the Web of Science database.
Findings
Findings show four clusters in bibliographic coupling and three in coword analysis. A common theme discovered converged on digital technology to ensure SMEs follow current market trends.
Research limitations/implications
Advanced application of Industry 4.0 requires digital transformation for SMEs’ pursuit of excellence. Implications include sustaining SMEs through a considerable KM system integrated with digital technology for sustainable business activities.
Originality/value
To the best of the authors’ knowledge, this study is among the first to provide a science mapping analysis on KM in SMEs by applying a bibliometric analysis.
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