Mohit Garg

Purpose: Academic libraries need to connect library systems with external platforms to automate workflows, enrich metadata and develop intelligent user services. Application Programming Interfaces (APIs) provide an effective mechanism for such integration and seamless exchange of data between different systems. This study aims to describe the potential applications and practical use of APIs to develop research analytics and conversational library services. Design/methodology/approach: The article presents practical implementations using the Scopus and OpenAlex APIs for research analytics and the Koha and DSpace REST APIs for developing a conversational library interface. Findings: The implementations demonstrate how APIs can extend existing library systems without replacing them, enabling automated research analytics, integrated discovery and conversational access to library resources. Practical implications: The paper can help librarians, systems developers and library administrators to explore API-based services using their existing library management systems, repositories and scholarly information sources. Originality/value: The article presents practical experiences of using different APIs to develop research analytics and conversational services in an academic library environment.

Organizational citizenship behaviour (OCB) is essential for organizational sustainability. Despite the numerous studies in this domain, there is a lack of comprehensive and objective reviews of the extant literature, constraining both theoretical understanding and practical application. Therefore, the primary aim of this study is to provide an extensive and rigorous review of OCB, analyse the thematic progression of research and identify future avenues. The study uses the SPAR-4-SLR framework, which has enhanced the credibility of the present research. This study employs both bibliometric and content analyses. While bibliometric analysis offers quantitative insights, content analysis provides qualitative insights into the thematic content of the literature. The co-citation analysis revealed five significant themes, namely ‘Organizational Identification and OCB’, ‘Social Exchange Theory (SET) and OCB’, ‘Dimensionality and OCB’, ‘Workplace Deviant Behaviours and OCB’ and ‘Leadership and OCB’. Content analysis was employed to examine and analyse the most relevant papers under each cluster. The results provide a thematic understanding of the progression and advancement of OCB research throughout the years. This nuanced exploration not only synthesizes key insights from past studies but also highlights potential pathways for future research, contributing to a deeper understanding of the dynamic and multifaceted nature of OCB. With its practical and theoretical implications, the article demonstrates the significance of OCB and offers several promising insights.

Latent Dirichlet Allocation (LDA) has emerged as an important algorithm in big data analysis that finds the group of topics in the text data. It posits that each text document consists of a group of topics, and each topic is a mixture of words related to it. With the emergence of a plethora of text data, the LDA has become a popular algorithm for topic modeling among researchers from different domains. Therefore, it is essential to understand the trends of LDA researches. Bibliometric techniques are established methods to study the research progress of a topic. In this study, bibliographic data of 18715 publications that have cited the LDA were extracted from the Scopus database. The software R and Vosviewer were used to carry out the analysis. The analysis revealed that research interest in LDA had grown exponentially. The results showed that most authors preferred “Book Series” followed by “Conference Proceedings” as the publication venue. The majority of the institutions and authors were from the USA, followed by China. The co-occurrence analysis of keywords indicated that text mining and machine learning were dominant topics in LDA research with significant interest in social media. This study attempts to provide a comprehensive analysis and intellectual structure of LDA compared to previous studies.

H index is a popular measure. YouTube provides free of cost video content on different topics. Anyone can upload the videos on YouTube after setting up an account without any verification by experts. Large numbers of videos have been uploaded on YouTube which may or may not be relevant. This study is aimed at evaluating the usefulness of YouTube videos on h-index. YouTube (www.youtube.com) was searched with the search term “h index” on 18th August 2018. The search results were filtered by video type. The first 20 videos were selected for assessment, but after screening the four non-English videos were excluded. These videos have been watched and evaluated based on six aspects. The study found that no video covered all six aspects. 25% of the screened videos were found very useful, 38% of the videos were found slightly useful, 31% of the videos were found moderately useful and only 1 video was found not useful. It was also found that majority of the videos covered definition and example and very few videos discussed advantages of h-index.

Accountability in Research is a peer-reviewed bi-monthly journal published by Taylor & Francis. The present bibliometric study analyzed 575 scholarly communications published in the journal during 1989 to 2018. The study highlights the distribution of articles, authorship patterns, collaborative coefficient, H-classic publication, research themes of the journal. The study found that half of the papers were authored by single author (290 papers, 50.43%). The results indicated that the growth of articles in the journal increased from 9 articles in 1989 to 30 articles in 2018. Majority of the contributions was by United States in every respect. The study found that United States has received highest number of citations (2528 citations, 77.43%), but in terms of CPP value the impact of papers of Australia is much higher than any other country including United States. The CPP value of 575 papers was 5.68. Elliott, K.C. contributed papers with highest CPP value of 15.33. The study showed that the collaborative research work has been increased among the authors of the journal. The journal has published 24 h-classic papers in last three decades.