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International Journal of Social Impact (IJSI)

Publisher :

RED’SHINE Publication

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • economics
  • international relations
  • law
  • +5

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 in - 2016, Impact Factor - 5.58

Provide Crossref DOI

Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Publications of IJSI

Data Observability: Ensuring Trust in Data Pipelines

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, ...

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