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The purpose of this study is to conduct a comprehensive systematic literature review using bibliometric approach to investigate the academic structure of World Trade Organization Dispute Settlement research.

The study examines the bibliographic information for 1,858 articles from Scopus and the Australian Business Deans Council-indexed journals published between 1995 and 2024 using Dimensions.ai and Google Scholar search engines. Exploratory-cum-descriptive research design with bibliometric approach is used to answer the stated literature review research questions.

The data shows a gradual decline in WTO-Dispute Settlement System (WTO-DSS) research relative to the total international business area in the three decades. Developed countries appear as key contributors to the research, with the USA and the UK standing out as the most productive and influential research countries. The study shows a significant change in the focus of this research corpus from legalized to non-legalized approaches, with a greater emphasis on transparency and environmental sustainability. The research identifies global politics and international trade law as influential subjects in the discipline.

To the best of the authors’ knowledge, the study is a first of its kind where bibliometric approach has been used to study the evolution of WTO-DSS literature. The study adds to the understanding of WTO Dispute Settlement research patterns and recommends future research options.

Open access repository is an essential element of an organization's strategy for enhancing the visibility and accessibility of its intellectual output to a global audience. Owing to its importance, the study aims to explore the current status of open access repositories in India and China by analyzing the different characteristic features of repositories.

The data for the study is collected from OpenDoar which is labeled as a quality assured repository directory across the globe. The country-wise contribution of Asian repositories is extracted from OpenDoar using various filtration options available in the repository. Further, the URL of every Indian and Chinese repository was manually accessed to gather the following metadata: Repository Type, Software Usage, Repository Interface Language, Year of Development, Subject Coverage, Content Coverage, and the utilization of Web 2.0 tools by repositories.

The findings of the study highlights that among the Asian countries, India is at 4th rank while China is at 5th rank in terms of repository count. The study depicts that India has shown more promising growth than China.  However, both the countries mainly focused on institutional repositories while disciplinary, aggregated, and governmental repositories are very few in number, therefore building such repositories is the need of an hour. Dspace as the preferred software and English as a dominant interface language occupy the prominent places in the repositories of both countries. Moreover, the repositories of both countries have embraced web 2.0 tools like RSS 1.0, RSS 2.0 and Atom with little presence of social media tools.

The study has limitations, and results should be interpreted with caution. The comparison between the two countries is based on only one data source, i.e. OpenDoar. However, there is a possibility that future studies can take various repository directories as a data source that will give a clear picture of comparison.

The study can be beneficial to the policymakers and the administrators of these two regions as it will provide them a vivid picture of the diffrent characteristic features of their repositories so that they can formulate better policies that will be helpful to foster green open access.

The purpose of this paper is to present a review on the use of the recall metric for evaluating information retrieval systems, especially search engines.

This paper investigates different researchers’ views about recall metrics.

Five different definitions for recall were identified. For the first group, recall refers to completeness, but it does not specify where all the relevant documents are located. For the second group, recall refers to retrieving all the relevant documents from the collection. However, it seems that the term “collection” is ambiguous. For the third group (first approach), collection means the index of search engines and, for the fourth group (second approach), collection refers to the Web. For the fifth group (third approach), ranking of the retrieved documents should also be accounted for in calculating recall.

It can be said that in the first, second and third approaches, the components of the retrieval algorithm, the retrieval algorithm and crawler, and the retrieval algorithm and crawler and ranker, respectively, are evaluated. To determine the effectiveness of search engines for the use of users, it is better to use the third approach in recall measurement.

The value of this paper is to collect, identify and analyse literature that is used in recall. In addition, different views of researchers about recall are identified.