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Article
Publication date: 11 July 2023

Altaf Ali and Mohammad Nazim

This study aims to examine the scholarly impact of funded and non-funded research published in ten core library and information science (LIS) journals published in 2016.

Abstract

Purpose

This study aims to examine the scholarly impact of funded and non-funded research published in ten core library and information science (LIS) journals published in 2016.

Design/methodology/approach

In total, ten high-impact LIS journals were selected using Google Scholar metrics. The source title of each selected journal was searched in the Scopus database to retrieve the articles published in 2016. The detailed information of all the retrieved articles for every journal was exported in a CSV Excel file, and after collecting all the journal articles’ information, all CSV Excel files were merged into a single MS Excel file for data analysis.

Findings

The study analyzed 1,064 publications and found that 14% of them were funded research articles. Funded articles received higher average citation counts (24.56) compared to non-funded articles (20.49). Funded open-access articles had a higher scholarly impact than funded closed-access articles. The research area with the most funded articles was “Bibliometrics,” which also received the highest number of citations (1,676) with an average citation count of 24.64. The National Natural Science Foundation of China funded the most papers (30), while the USA funded the highest number of research publications (36) in the field of LIS.

Practical implications

This study highlights the importance of securing funding, open access publishing, discipline-specific differences, diverse funding sources and aiming for higher citations. Researchers, practitioners and policymakers can use these findings to enhance research impact in LIS.

Originality/value

This study explores the impact of funding on research LIS and provides valuable insights into the intricate relationship between funding and research impact.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

Article
Publication date: 23 November 2022

Purnima Rao, Satish Kumar, Weng Marc Lim and Akshat Aditya Rao

Numerous research tools exist but their usage among researchers across the different phases of the research cycle of scholarly communication remains unknown. This research aims to…

Abstract

Purpose

Numerous research tools exist but their usage among researchers across the different phases of the research cycle of scholarly communication remains unknown. This research aims to address this knowledge gap by mapping the research tools frequently used by global researchers against the various phases of the research cycle of scholarly communication.

Design/methodology/approach

This research adopts a descriptive research design and conducts a cross-tabulation of secondary data consisting of 20,663 useable responses in a global survey of research tools for scholarly communication. This research also administered a survey to academic experts to classify the research tools according to traditional, modern, innovative and experimental categories.

Findings

This research reveals the six phases of the research cycle (i.e. discovery, analysis, writing, publication, outreach and assessment) and the research tools of scholarly communication frequently used by researchers worldwide in each phase as a whole and by roles, disciplines, regions and career stages. Notably, this research indicates that most of the research tools used by researchers are classified as “modern” and “innovative”.

Originality/value

The original insights herein should be useful for both established and early career researchers to gain and share research insights, as well as policymakers and existing and aspiring service providers who wish to improve the utility and usage of research tools for scholarly communication. Notably, this research represents a seminal endeavor at enhancing a global survey (secondary research) using a follow-up expert survey (primary research), which enabled the organization of research tools for scholarly communication into four refined categories. In doing so, this research contributes finer-grained insights that showcase the importance of keeping up with the advancement of technology through the use of modern, innovative and experimental research tools, thereby highlighting the need to go beyond traditional research tools for scholarly communication.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 1 January 2024

Olga Blasco-Blasco, Márton Demeter and Manuel Goyanes

The purpose of this article is to theoretically outline and empirically test two contribution-based indicators: (1) the scholars' annual contribution-based measurement and (2…

Abstract

Purpose

The purpose of this article is to theoretically outline and empirically test two contribution-based indicators: (1) the scholars' annual contribution-based measurement and (2) the annual contribution modified h-index, computing six criteria: total number of papers, computed SCImago Journal Rank values, total number of authors, total number of citations of a scholar’s work, number of years since paper publication and number of annual paper citations.

Design/methodology/approach

Despite widespread scholarly agreement about the relevance of research production in evaluation and recruitment processes, the proposed mechanisms for gauging publication output are still rather elementary, consequently obscuring each individual scholar’s contributions. This study utilised the Technique for Order of Preference by Similarity to Ideal Solution method, and the authors built two indicators to value author's contribution.

Findings

To test both indicators, this study focussed on the most productive scholars in communication during a specific time period (2017–2020), ranking their annual research contribution and testing it against standard productivity measures (i.e. number of papers and h-index).

Originality/value

This article contributes to current scientometric studies by addressing some of the limitations of aggregate-level measurements of research production, providing a much-needed understanding of scholarly productivity based on scholars' actual contribution to research.

Details

Online Information Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1468-4527

Keywords

Article
Publication date: 7 September 2023

Rongying Zhao and Ruru Chang

Academic conferences play a crucial role in fostering scholarly exchanges and discussions among core members, thereby shaping the core performance of these events. Understanding…

Abstract

Purpose

Academic conferences play a crucial role in fostering scholarly exchanges and discussions among core members, thereby shaping the core performance of these events. Understanding the contributions of scholars in academic conferences is essential for advancing the goals and development of such events. This paper aims to discuss the aforementioned idea.

Design/methodology/approach

This paper proposes a comprehensive measurement method for measuring scholars' academic activeness in academic conferences. Based on the essence of academic activeness, a measurement model is constructed, comprising the breadth of academic activeness using the RFM model and the depth of academic activeness using the ATM model. Additionally, effective categories of scholars are derived from the model, facilitating the identification of valuable scholars in academic conferences.

Findings

Empirical evidence from ASIS&T conference records over the past 20 years demonstrates that the proposed measurement indicators have better coverage compared to traditional evaluation indicators, thus complementing existing scholar evaluation indictators. Furthermore, the academic activeness measurement model presented in this paper exhibits good efficacy in identifying important value and active scholars.

Originality/value

This paper pays attention to the activeness of scholars in academic conferences. It broadens the evaluation of academic conferences and scholars and supplements the evaluation indicators of academic influence.

Details

Aslib Journal of Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-3806

Keywords

Article
Publication date: 12 February 2024

Hamid Reza Saeidnia, Elaheh Hosseini, Shadi Abdoli and Marcel Ausloos

The study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the…

Abstract

Purpose

The study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields.

Design/methodology/approach

By conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles.

Findings

(1) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis and knowledge mapping, in a more objective and reliable framework. (2) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis and recommender systems. (3) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining and recommender systems are considered as the potential of AI integration in the field of bibliometrics.

Originality/value

This study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 8 February 2023

Mousumi Karmakar, Vivek Kumar Singh and Sumit Kumar Banshal

This paper aims to explore the impact of the data observation period on the computation of altmetric measures like velocity index (VI) and half-life. Furthermore, it also attempts…

Abstract

Purpose

This paper aims to explore the impact of the data observation period on the computation of altmetric measures like velocity index (VI) and half-life. Furthermore, it also attempts to determine whether article-level computations are better than computations on the whole of the data for computing such measures.

Design/methodology/approach

The complete publication records for the year 2016 indexed in Web of Science and their altmetric data (original tweets) obtained from PlumX are obtained and analysed. The creation date of articles is taken from Crossref. Two time-dependent variables, namely, half-life and VI are computed. The altmetric measures are computed for all articles at different observation points, and by using whole group as well as article-level averaging.

Findings

The results show that use of longer observation period significantly changes the values of different altmetric measures computed. Furthermore, use of article-level delineation is advocated for computing different measures for a more accurate representation of the true values for the article distribution.

Research limitations/implications

The analytical results show that using different observation periods change the measured values of the time-related altmetric measures. It is suggested that longer observation period should be used for appropriate measurement of altmetric measures. Furthermore, the use of article-level delineation for computing the measures is advocated as a more accurate method to capture the true values of such measures.

Practical implications

The research work suggests that altmetric mentions accrue for a longer period than the commonly believed short life span and therefore the altmetric measurements should not be limited to observation of early accrued data only.

Social implications

The present study indicates that use of altmetric measures for research evaluation or other purposes should be based on data for a longer observation period and article-level delineation may be preferred. It contradicts the common belief that tweet accumulation about scholarly articles decay quickly.

Originality/value

Several studies have shown that altmetric data correlate well with citations and hence early altmetric counts can be used to predict future citations. Inspired by these findings, majority of such monitoring and measuring exercises have focused mainly on capturing immediate altmetric event data for articles just after the publication of the paper. This paper demonstrates the impact of the observation period and article-level aggregation on such computations and suggests to use a longer observation period and article-level delineation. To the best of the authors’ knowledge, this is the first such study of its kind and presents novel findings.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

Article
Publication date: 20 April 2023

Fatemeh Goodarzi, Kavitha Palaniappan, Manikam Pillay and Mahmoud Ershadi

Exposure to poor indoor air in refurbished buildings is a matter of health concern due to the growing concentrations of various contaminants as a result of building airtightness…

Abstract

Purpose

Exposure to poor indoor air in refurbished buildings is a matter of health concern due to the growing concentrations of various contaminants as a result of building airtightness without amendment of ventilation, or the use of building materials such as glue, paint, thinner and varnishes. Recent studies have been conducted to measure indoor air pollutants and assess the health risks affecting the quality of life, productivity and well-being of human beings. However, limited review studies have been recently conducted to provide an overview of the state of knowledge. This study aims to conduct a scoping review of indoor air quality (IAQ) in the context of refurbished or energy-retrofitted buildings.

Design/methodology/approach

A systematic screening process based on the PRISMA protocol was followed to extract relevant articles. Web of Science, Scopus, Google Scholar and PubMed were searched using customised search formulas. Among 276 potentially relevant records, 38 studies were included in the final review covering a period from 2015 to 2022.

Findings

Researchers mapped out the measured compounds in the selected studies and found that carbon dioxide (CO2) (11%) and total volatile organic compounds (11%) were among the most commonly measured contaminants. Two trends of research were found including (1) the impact of ventilative properties on IAQ and (2) the impact of introducing building materials on IAQ.

Originality/value

The contribution of this study lies in summarising evidence on IAQ measurements in refurbished buildings, discussing recent advancements, revealing significant gaps and limitations, identifying the trends of research and drawing conclusions regarding future research directions on the topic.

Details

Smart and Sustainable Built Environment, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-6099

Keywords

Article
Publication date: 23 October 2023

Rongying Zhao, Weijie Zhu, He Huang and Wenxin Chen

Social mediametrics is a subfield of measurement in which the emphasis is placed on social media data. This paper analyzes the trends and patterns of paper comprehensively…

Abstract

Purpose

Social mediametrics is a subfield of measurement in which the emphasis is placed on social media data. This paper analyzes the trends and patterns of paper comprehensively mentions on Twitter, with a particular focus on Twitter's mention behaviors. It uncovers the dissemination patterns and impact of academic literature on social media. The research has significant theoretical and practical implications.

Design/methodology/approach

This paper explores the fundamental attributes of Twitter mentions by means of analyzing 9,476 pieces of scholarly literature (5,097 from Nature and 4,379 from Science), 1,474,898 tweets and 451,567 user information collected from Altmetric.com database and Twitter API. The study uncovers assorted Twitter mention characteristics, mention behavior patterns and data accumulation patterns.

Findings

The findings illustrate that the top academic journals on Twitter have a wider range of coverage and display similar distribution patterns to other academic communication platforms. A large number of mentioners remain unidentified, and the distribution of follower counts among the mention users exhibits a significant Pareto effect, indicating a small group of highly influential users who generate numerous mentions. Furthermore, the proportion of sharing and exchange mentions positively correlates with the number of user followers, while the incidence of supportive mentions has a negative correlation. In terms of country-specific mention behavior, Thai scholars tend to utilize supportive mentions more frequently, whereas Korean scholars prefer sharing mentions over communicating mentions. The cumulative pattern of Twitter mentions suggests that these occur before official publication, with a half-life of 6.02 days and a considerable reduction in the number of mentions is observed on the seventh day after publication.

Originality/value

Conducting a multi-dimensional and systematic analysis of Twitter mentions of scholarly articles can aid in comprehending and utilizing social media communication patterns. This analysis can uncover literature's distribution patterns, dissemination effects and social significance in social media.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 15 February 2024

Williams E. Nwagwu

This study was carried out to examine the volume and annual growth pattern of research on e-health literacy research, investigate the open-access types of e-health literacy…

Abstract

Purpose

This study was carried out to examine the volume and annual growth pattern of research on e-health literacy research, investigate the open-access types of e-health literacy research and perform document production by country and by sources. The study also mapped the keywords used by authors to represent e-health literacy research and performed an analysis of the clusters of the keywords to reveal the thematic focus of research in the area.

Design/methodology/approach

The research was guided by a bibliometric approach involving visualization using VosViewer. Data were sourced from Scopus database using a syntax that was tested and verified to be capable of yielding reliable data on the subject matter. The analysis in this study was based on bibliographic data and keywords.

Findings

A total number of 1,176 documents were produced during 2006 and 2022. The majority of the documents (18.90%) were published based on hybrid open-access processes, and the USA has the highest contributions. The Journal of Medical Internet Research is the venue for most of the documents on the subject. The 1,176 documents were described by 5,047 keywords, 4.29 keywords per document, and the keywords were classified into five clusters that aptly capture the thematic structure of research in the area.

Research limitations/implications

e-Health literacy has experienced significant growth in research production from 2006 to 2022, with an average of 69 documents per year. Research on e-health literacy initially had low output but began to increase in 2018. The majority of e-health literacy documents are available through open access, with the USA being the leading contributor. The analysis of keywords reveals the multifaceted nature of e-health literacy, including access to information, attitudes, measurement tools, awareness, age factors and communication. Clusters of keywords highlight different aspects of e-health literacy research, such as accessibility, attitudes, awareness, measurement tools and the importance of age, cancer, caregivers and effective communication in healthcare.

Practical implications

This study has practical implications for health promotion. There is also the element of patient empowerment in which case patients are allowed to take an active role in their healthcare. By understanding their health information and having access to resources that help them manage their conditions, patients can make informed decisions about their healthcare. Finally, there is the issue of improved health outcomes which can be achieved by improving patients' e-health literacy. Visualisation of e-health literacy can help bridge the gap between patients and healthcare providers, promote patient-centered care and improve health outcomes.

Originality/value

Research production on e-Health literacy has experienced significant growth from 2006 to 2022, with an average of 69 documents per year. Many e-health literacy documents are available through open access, and the USA is the leading contributor. The analysis of keywords reveals the nature of e-health literacy, including access to information, attitudes, measurement tools, awareness and communication. The clusters of keywords highlight different aspects of e-health literacy research, such as accessibility, attitudes, awareness, measurement tools and the importance of age, cancer, caregivers, and effective communication in healthcare.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 27 March 2023

Thamaraiselvan Natarajan and Deepak Ramanan V

Building on Stimulus Organism Response theory, the current study examines the influence of Integrated store service quality (ISSQ) on the omnichannel customer experience…

Abstract

Purpose

Building on Stimulus Organism Response theory, the current study examines the influence of Integrated store service quality (ISSQ) on the omnichannel customer experience dimensions (Cognitive, Affective and Relational), subsequently leading to their psychological ownership of the store, which eventually explains their Augmenting, Co-developing, Influencing and Mobilizing behaviors. The moderating role of omnichannel shopper perceived relationship investment in a few proposed relationships was tested.

Design/methodology/approach

The research is a descriptive, quantitative and cross-sectional investigation. A purposive sampling technique was used. It was conducted using data collected from 554 Indian omnichannel shoppers using a validated self-administered questionnaire. The proposed conceptual model was tested using PLS-SEM.

Findings

The results indicate that ISSQ positively impacts all three dimensions of omnichannel customer experience (cognitive, affective and relational). All three dimensions directly affect psychological ownership, eventually impacting their (Augmenting, Co-developing, Influencing and Mobilizing) engagement behaviors. The moderating effect of the omnichannel shopper, perceived relationship investment, revealed that it had a significant positive impact on the relationship between dimensions of omnichannel customer experience and psychological ownership of shoppers towards the store, which eventually fosters the customer–retailer value co-creation like engagement behaviors.

Research limitations/implications

The study is conducted in the Indian population, where omnichannel retailing is still nascent.

Originality/value

This study addresses the need to investigate other dimensions (apart from cognitive and affective) of the omnichannel customer experience that might eventually influence various service firms' customer engagement behaviors. This study is the first to show that integrated store service quality might stimulate (Augmenting, Co-developing, Influencing and Mobilizing) engagement behaviors through customer experience dimensions and the customer's sense of belongingness to the store. The moderating role of omnichannel shoppers' perceived relationship investment in a few proposed relationships was tested.

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