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Journal Photo for International Journal of Social Impact
Peer reviewed only Open Access

International Journal of Social Impact (IJSI)

Publisher : RED’SHINE Publication
economics international relations law
e-ISSN 2455-670X
Issue Frequency Quarterly
Impact Factor 5.58
Est. Year 2016
Mobile 7698826988
DOI YES
Country Afghanistan
Language English
APC YES
Impact Factor Assignee Google Scholar
Email info.ijsi@gmail.com

Journal Descriptions

International Journal of Social Impact, peer-reviewed journal publishes research papers in the fields of economics, international relations, law, development studies, population studies, political science, history, journalism and mass communication, corporate governance, cross-cultural studies, peace and conflict, library and information science, public administration, psychology, philosophy, sociology, women studies, religious studies, social welfare, anthropology, linguistics, education , management, marketing, finance, banking, accounting, human resources management, international business, hotel and tourism, entrepreneurship development, business ethics and so on. The research that is published may take a theoretical or speculative model as well as statistical and mathematical. Contributions are welcome from all fields which have relevant and insightful comments to make about the various field. While International Journal of Social Impact is the publication of a regional association, it attracts submissions from a wide range of countries.

International Journal of Social Impact (IJSI) is :-

  • International, Peer-Reviewed, Open Access, Refereed, economics, international relations, law, development studies, population studies, political science, history, journalism , Online , Quarterly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2455-670X, Established: 2016, Impact Factor: 5.58
  • Provides Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of IJSI

Data observability is the key process you need to implement to guarantee the consistency of the data pipeline in terms of credibility. The features of data quality, data freshness, lineage, ...