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The merits and demerits of existing techniques for the selection of journals are discussed. This discussion brings out the fact that the use of journals characterizes their importance. A model for the ideal selection of journals is presented. A canon of decreasing usefulness is invoked to determine journal priorities and to formulate guidelines for selection. The highest priority in the matter of journal selection should be given to those journals which are highly cited, abstracted, and used.

The paper aims to explore and identify the contributions to the literature available about trends in science and technology research at various levels.

A deep scan of literature was carried out in an attempt to identify considerable works that have been published concerning various facets related to science and technology research. Varied search terms like “research”, “research and research output”, “science and technology research”, “research collaboration”, “research in universities”, “importance of science and technology research”, “issues in research”, etc. were used for retrieving the literature from a range of online scholarly databases, search engines and allied web sources.

The literature review reveals that a considerable amount of literature has been published related to science and technology research. However, keeping in view immense advancements and innovations in science and technology, scholarly output is still in its emergent phase.

It is apparent from the study of existing literature that there is still vast scope for advanced exploration on the topic and the study paves the way for the concerned organizations and institutions (like universities, libraries and publishers) at national and international level to take substantial measures to boost research in the field of science and technology.

The paper is the first ordered and makes an endeavour to review the literature and provides a summary of emerging trends in science and technology research.

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.

With increased globalization, Indian universities are struggling to attract and retain talented academics and are exploring the ways to enhance their service performance and brand image (BI). However, there is a paucity of studies that view universities through the corporate lens. Therefore, the purpose of this paper is to examine the mediating role of innovativeness in the relationships of creativity, risk taking (RT), and performance in service delivery (PSD). Another objective is to find out how this nexus affects universities’ BI.

Responses were collected from 280 academics working for different Indian universities. Structural analysis was performed to examine the relationships under investigation.

The results indicate that innovativeness fully mediates the positive RT – PSD relationship and that PSD positively influences BI.

The findings of this study mainly augment the theory of BI by empirically linking BI and its antecedents in the context of Indian universities.

For enhancing a university’s BI, management is encouraged to promote RT work culture along with innovative and creative teaching methods.

This study is one of the few studies in India that see academia through the corporate lens. Also, it provides evidence for the importance innovativeness in enhancing BI of a university.

Multiple regression models can be used to rank physics journals in approximately the same order as the journals are perceived useful by actual users. Four such regression models are reported here, each having a multiple R value of ·74 or greater. Perceived usefulness, the dependent variable used in constructing the models, was obtained from a survey of 167 physicists in the US and Canada. The independent, or predictor variables include easily obtainable bibliometric statistics such as number of source items published, immediacy index, ratio of citations received to citations made, total citations received, impact factor and others. Regression models that combine certain of these statistics can predict user valuation of the journals better than any single bibliometric predictor alone can do. Their advantage for serials management is in ease of estimating usefulness as judged by users, a much more difficult statistic to obtain. Where these models may not apply, it is relatively simple to construct similar models based upon surveys of other user groups. It appears likely that good models of this type can also be developed for many other disciplines.

A survey on the relative importance of various library functions, including interlibrary lending, introduces this review. Various national library systems are considered, with emphasis on the degree of centralization involved. A central lending collection is proposed for France. Both decentralized and centralized solutions are put forward for India and Japan. The latter also claims an international role. Unplanned decentralized systems in the Netherlands and Belgium are described and the planned decentralized system in the Federal Republic of Germany is defended. The accuracy of location information in the USA is considered briefly. A number of items on interlending in Australia are reviewed, with particular attention to the effects of the new voucher payment system.

Three-dimensional (3D) printing (3DP) offers a promising value proposition across multiple manufacturing industries. Despite the variety of production benefits the technology entails, its rate of adoption is still low compared to industry forecasts. In face of this challenge, industry as well as academia requires more information and guidance. This review aims to examine the characteristics of the existing body of research on the organizational adoption of 3DP as well as its underlying theoretical concepts. The most common criteria driving adoption will be derived, such as to facilitate the managerial decision-making process. Pathways for future research will be presented.

This study underlies a bibliometric literature review and additionally applies content analysis to systematically investigate the existing body of research and group decision criteria along the four major pillars of strategic decision-making.

The contributions of this paper are threefold. First, the bibliometric analysis reveals interesting aspects of the existing body of research. The most prominent characteristics of the contemporary literature are reflected along descriptive indicators, such as industry, method, model, origin, research outlet or adoption drivers, thus granting relevant insights into academia and practice. Second, the most notable adoption models are carefully analyzed on their inherent attributes and their application fit for the context of organizational 3DP adoption. Findings, for instance, revealed the dominance of diffusion of innovation (DOI) across the existing body of research and divulge that this construct is generally applied in combination with user-centered decision frameworks to yield more precise results. Third, an ample range of opportunities for future research are detected and thoroughly explained. Among others, the authors identified a clear lack of information on the impact environmental variables and contingency factors exerted on the organizational adoption of 3DP. Guidance in relation to the sourcing of industry data, usage of adoption frameworks and avenues for future scientific projects is supplied.

This study represents the first semi-systematic literature review on the organizational adoption of 3DP. Thus, it not only offers a valuable evaluation guide for potential adopters but also determines a future research agenda.

Due to the development of Information and Communication Technologies, the scenario has changed in modern library services such as access to electronic or digital collections, web portals, personalized services, online library instruction, e-reference service, online document delivery, helpdesk services and electronic publishing. Today many university libraries in India offer electronic information resources to their users in order to satisfy their information needs. Managing the development and delivery of electronic library services is one of the major challenges for these libraries. The University libraries in Odisha state which is situated at the eastern part of India gradually transformed their traditional library services to e-services. Thus, it is important to understand and conceptualize library service quality in the web-based service environment and how it can be accessed. In this chapter, E-S-QUAL model is adopted to identify the criteria to assess the service quality of library website of Siksha ‘O’ Anusandhan (SOA) University located in Bhubaneswar city of Odisha from the research scholars’ viewpoints. The purpose of this study is to investigate the effects of E-S-QUAL dimensions such as efficiency, system availability, fulfillment and privacy on user’s perceived value, e-service quality and e-loyalty that influence the digital library services. With an empirical data set including 350 valid questionnaires collected through online survey from the research scholars of SOA community, the result provides a foundation for better understanding research scholars’ perceptions on e-service quality for libraries. This information is also useful to universities’ libraries website designers and service providers and in the management of web-based services.

The discrepancy between the content of an article and its title is a key characteristic of fake news. Current methods for detecting fake news often ignore the significant difference in length between the content and its title. In addition, relying solely on textual discrepancies between the title and content to distinguish between real and fake news has proven ineffective. The purpose of this paper is to develop a new approach called semantic enhancement network with content–title discrepancy (SEN–CTD), which enhances the accuracy of fake news detection.

The SEN–CTD framework is composed of two primary modules: the SEN and the content–title comparison network (CTCN). The SEN is designed to enrich the representation of news titles by integrating external information and position information to capture the context. Meanwhile, the CTCN focuses on assessing the consistency between the content of news articles and their corresponding titles examining both emotional tones and semantic attributes.

The SEN–CTD model performs well on the GossipCop, PolitiFact and RealNews data sets, achieving accuracies of 80.28%, 86.88% and 84.96%, respectively. These results highlight its effectiveness in accurately detecting fake news across different types of content.

The SEN is specifically designed to improve the representation of extremely short texts, enhancing the depth and accuracy of analyses for brief content. The CTCN is tailored to examine the consistency between news titles and their corresponding content, ensuring a thorough comparative evaluation of both emotional and semantic discrepancies.

The purpose of this paper is to update Carlsson (2015), which examined the research on public libraries and the social web published from 2006 to 2012, and it also intends to go beyond Carlsson (2015) by including six additional variables.

Literature searches were performed against Web of Science Core Collection and EBSCOhost databases. By adapting Carlsson’s (2015) three level key phrase searches, which were then complemented by chain searching, a total of 60 articles were identified and analyzed.

In comparison to Carlsson (2015), this study shows that the recent research, published between 2012 and 2018, leans toward a more general acceptance of the social web’s usage to improve the services provided by public libraries; that the public library is rarely premised to be in a state of crisis; and that the social web is mostly perceived as having a complementary relationship with librarianship and library services. The findings from analyzing the six additional variables are also presented.

The findings from this study provide LIS professionals a greater understanding of where the research stands on the topic at present, and this study also identifies gaps in the literature to offer insight into the areas where future research can be directed.

Given the continued popularity of social web usage among public libraries, this study examines the literature published on the social web in the public library context between 2012 and 2018 and offers implications and future research suggestions.