JOURNAL ARTICLE

Boko Haram Insurgency and Military Response in Nigeria.

  • Published In: African Journal of Terrorism & Insurgency Research (AJoTIR), 2024, v. 5, n. 2. P. 5 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Onuoha, Ifeanyi Jonah; Onuoha, Jonah; Ogu, Esomchi; Victor, Nwawube Arinze 3 of 3

Abstract

The article focuses on the Boko Haram insurgency in Nigeria and the Nigerian government's military response from 2009 to 2023. It examines the effectiveness of the Multinational Joint Task Force (MNJTF), a regional military coalition involving Nigeria, Cameroon, Chad, Niger, and Benin, in mitigating Boko Haram activities, noting successes such as territorial recaptures and a reduction in terrorist attacks, alongside challenges like resource constraints and coordination issues. The study highlights Boko Haram's ideological roots, its opposition to Western education, and its evolution into a violent insurgency with regional and international terrorist links, including affiliations with groups like ISIS. It underscores the importance of sustained regional collaboration, intelligence sharing, and addressing socio-economic grievances to counter the insurgency effectively. The designation of Boko Haram as a Foreign Terrorist Organization (FTO) has enhanced international cooperation but also calls for comprehensive strategies beyond security measures to address underlying causes.

Additional Information

  • Source:African Journal of Terrorism & Insurgency Research (AJoTIR). 2024/12, Vol. 5, Issue 2, p5
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2024
  • ISSN:2732-4990
  • DOI:10.31920/2732-5008/2024/v5n2a1
  • Accession Number:182496407
  • Copyright Statement:Copyright of African Journal of Terrorism & Insurgency Research (AJoTIR) is the property of Adonis & Abbey Publishers Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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