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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.

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.

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).

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.

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?

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.

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.

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.

The purpose of this study is to examine the Google Scholar (GS) and Scopus citations profiles of library and information science (LIS) faculty members employed in central universities in India to determine their research online visibility.

The data was collected through manual searches conducted on GS and Scopus profiles by the end of August 2023, using the names of the faculty members along with their affiliations. The determination of the minimum sample size for each was calculated based on Cochran’s formula.

The study revealed that out of 104 LIS faculty members from 19 central universities, 78 (75.0%) faculty members have profiles on GS, while 61 (58.6%) of them are on Scopus. The study found that the faculty members have a substantial number of publications on GS, while their publication count on Scopus appears comparatively lower. The results suggest that certain faculty members have produced a modest number of publications but have received a substantial number of citations compared to their colleagues. Consequently, it can be inferred that there is no straightforward correlation between the volume of publications and citation metrics.

As the study exclusively focused on LIS faculty members working within central universities in India who have profiles on GS and Scopus, the researchers did not reach all LIS faculty members in India.

The significance of this research lies in its potential of insights into research productivity and its impact, which are crucial aspects of academia. The study provides valuable insights for individual researchers, LIS departments, institutes and universities in India and other countries to enhance their research performance and foster collaboration by establishing new research guidelines.

There have been no published research studies regarding the GS and Scopus citation metrics concerning LIS faculty members across all central universities in India.

The aim of this research is to examine gender differences in the context of research productivity, research collaboration and academic promotion.

This research analyzes data related to 863 academics in the accounting and finance departments in Turkish universities by using OLS, Binary Logistic, Ordered Probit and Multinomial Probit Regressions.

The findings show that female academics have in overall a representation ratio of 32%, and that there are no significant differences regarding the opportunities for female academics to be employed in public compared to private, and in high-rank compared to low-rank universities. The results also indicate that female academics have lower research impact compared to male academics, and that this difference is more pronounced for professors, and in universities with low ratio of female representation, and also in public universities. In addition, female academics engage more in research collaboration and are less likely to hold the academic title of full professor than male academics.

The findings of this study provide significant signals about the need for improving gender policies that mitigate the conditions adversely affecting research productivity and impact by considering the supporting circumstances for female academics and improving the representation ratio, which also can play vital role in reducing discrimination and bias and contribute to better research and scientific environment.

To the author’s knowledge, this article is the first to examine gender effect regarding research productivity, research collaboration and academic promotion in Turkish universities.

Intellectual curiosity about innovation in philanthropic organizations has grown recently. This study aims to provide a thorough bibliometric analysis of the patterns and trends in the scientific literature on innovation in philanthropy.

Based on the Scopus database, a descriptive bibliometric analysis with a visualization tool (RStudio®) was used to assess the creation of 159 articles on innovation in philanthropic organizations.

This research finds a large number of papers on innovation in philanthropic organizations. According to this study, the USA has published more research than any other country. The Icahn School of Medicine has the most popular publications, followed by the Bill & Melinda Gates Foundation. According to the number of citations, the Journal of Business Ethics is the most prolific journal. However, according to the h-index, Corporate Reputation Review is the most important publication. Halme M is regarded as a prominent scholar. With 244 citations, the work of Kramer MR and Porter ME is the most referenced. “Philanthropy” is the most often used keywords category, followed by “innovation” and “social innovation”.

This study can serve as a useful reference for researchers conducting bibliometric research by offering information on the field’s famous authors. Furthermore, the outcomes of this study make it straightforward for researchers to seek extensive academic collaboration in this field.

To the best of the authors’ knowledge, this study is the first to present a pattern in research on innovation in philanthropic organizations.

Many conceptual, empirical and exploratory studies on perceived organizational performance have been conducted in various domains. But, no attempt has been made to provide a comprehensive scientific analysis of that area. Thus, by synthesizing knowledge structures, the aim of this study is to highlight the research field's trend.

A collection of 115 paper were included from Scopus and Web of science database covering the years 1994–2023. A bibliometric study was conducted on the perceived performance of the organization. The research used Biblioshiny, an online application part of the R-language Bibliometrix package (Aria and Cuccurullo, 2017). Significant journals, authors, countries, articles and topics were discovered using the automated workflow feature of the program. Both social network analysis and conceptual network analysis were done.

The outcomes display how the themes of perceived organizational performance have evolved as an interdisciplinary field. Initially, the field's analysis progressively expanded to include subjects like leadership and corporate social responsibility. The social structure of the domain is revealed by this research beside the conceptual structure. This study provides valuable new knowledge on areas that require more research.

This study offers significant insights regarding the perceived performance of organizations. It directs the reader toward the potential topics for research while highlighting the most discussed concerns in the field. By revealing the social and conceptual structure of the field, it gives upcoming academics knowledge about novel topics, contexts and collaborative opportunities.

In the past, several cross-national conceptual and empirical investigations in various areas have been carried out. This study's main contribution is the combining of the scattered literature on this topic and the identification of significant authors, sources and documents associated with perceived organizational performance.

As more and more cities adopt resilient, inclusive and sustainable principles, circular economy (CE) emerges as a critical ally in developing smart cities. The technology-driven environment of smart cities and CE's resource-efficient principles are perfectly compatible, overcoming challenges and highlighting benefits like increased resource efficiency. The integration of CE in smart cities is thoroughly analyzed in this chapter using VOSviewer and RStudio, tracing its history and pointing urban innovators towards a circular future. The categorization of obstacles to CE implementation in smart cities, the provision of knowledge about barriers and the facilitation of methodical solutions constitute a critical focus of research. Additionally, by analyzing pertinent literature, this investigation highlights the importance of integrating the concepts of the CE and the smart cities, illuminating the interdisciplinary nature of this field. This synthesis provides policymakers and planners with the knowledge they can use to advance sustainable urbanization effectively.

This study addresses the gap in understanding text analytics within the service domain, focusing on new service development to provide insights into key research themes and trends in text analytics approaches to service development. It explores the benefits and challenges of implementing these approaches and identifies potential research opportunities for future service development. Importantly, this study offers insights to assist service providers to make data-driven decisions for developing new services and optimising existing ones.

This research introduces the hybrid thematic analysis with a systematic literature review (SLR-TA). It delves into the various aspects of text analytics in service development by analysing 124 research papers published from 2012 to 2023. This approach not only identifies key practical applications but also evaluates the benefits and difficulties of applying text analytics in this domain, thereby ensuring the reliability and validity of the findings.

The study highlights an increasing focus on text analytics within the service industry over the examined period. Using the SLR-TA approach, it identifies eight themes in previous studies and finds that “Service Quality” had the most research interest, comprising 42% of studies, while there was less emphasis on designing new services. The study categorises research into four types: Case, Concept, Tools and Implementation, with case studies comprising 68% of the total.

This study is groundbreaking in conducting a thorough and systematic analysis of a broad collection of articles. It provides a comprehensive view of text analytics approaches in the service sector, particularly in developing new services and service innovation. This study lays out distinct guidelines for future research and offers valuable insights to foster research recommendations.

The purpose of this study of M&A in relation to sustainability aims to create synergies that drive both financial performance and positive environmental and social outcomes, aligning business objectives with broader societal goals. The study can help in understanding the structure, collaborations and recent keywords and topics that are related to M&A in relation to sustainability.

This study applies comprehensive bibliometric analysis on performance analysis and science mapping of the scholarly literature related to M&A in relation to sustainability published between 2004 and 2024 in 196 publications on Web of science and Scopus by leveraging biblioshiny within R Studio and the VOS viewer software for enhanced visualization and interpretation of the bibliometric data.

This study helps to find out the co-occurrence analysis, bibliographical coupling and keyword analysis. Moreover, it scrutinizes patterns of collaboration among researchers, institutions and nations, shedding light on the global reach and influence of scholarly contributions in the field of M&A in relation to sustainability.

This study identified trends can help scholars, policymakers and business experts to study M&A through the lens of sustainability.

This bibliometric study of M&A in relation to sustainability can drive positive change by promoting responsible business practices, fostering innovation and creating value for both shareholders and society as a whole.

The paper concludes by finding emerging topics of the research and future directions, it gives a good input to extend the line on the graph. This study provides overview of 20 years of research on M&A in relation to sustainability and discusses its findings to identify the research gap.

This study aims to examine the connection between scholars' research performance and the multidisciplinary nature of their collaborative research. Furthermore, in response to mixed results regarding the effects of multidisciplinarity on research performance, this study explores how human resource management (HRM) practices may moderate this link.

The authors built a model based on the theoretical arguments and empirical evidence found in the review of diversity and HRM literature. The authors also performed a quantitative study based on a sample of scholars in the field of management. Different econometric estimations were used to test the proposed model.

The results of this empirical analysis suggest that multidisciplinary research has a non-linear effect on research performance. Certain HRM practices, such as development and collaboration, moderated the curvilinear relationship between multidisciplinarity and performance, displacing the optimum to allow higher performance at higher levels of multidisciplinary research.

The paper provides advances on previous works studying the curvilinear relationship between multidisciplinarity and the researchers' performance, confirming that multidisciplinarity is beneficial up to a threshold beyond which these benefits are attenuated. In addition, the findings shed light on important issues related to team-oriented HRM practices associated with the outcomes of multidisciplinary research.