Swedish Military Intelligence : Producing Knowledge
Book Details
Format
Hardback or Cased Book
ISBN-10
1474413447
ISBN-13
9781474413442
Publisher
Edinburgh University Press
Imprint
Edinburgh University Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 30th, 2016
Print length
240 Pages
Weight
514 grams
Dimensions
16.40 x 33.20 x 1.80 cms
Product Classification:
Theory of warfare & military scienceMilitary intelligence
Ksh 18,900.00
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This twofold study investigates the character of intelligence knowledge and the social context in which it is produced, using the Swedish Military and Security Directorate (MUST) as a case study.
Gunilla Eriksson revises our perception of intelligence as carefully collected data and objective truth, arguing that there are hidden aspects to intelligence analysis that need to be uncovered and critically examined. This twofold study investigates the character of intelligence knowledge and the social context in which it is produced, using the Swedish Military and Security Directorate (MUST) as a case study.
Eriksson argues that there is an implicit framework that continuously influences knowledge production: what kind of data is considered relevant, how this data is interpreted and the specific social and linguistic context of the organisation, surrounded by unarticulated norms and specific procedures. She asks whether these conventions hamper or obstruct intelligence assessments; an essential analysis, given that history has shown us the grave consequences basing policy on intelligence''s wrong conclusions.
Eriksson argues that there is an implicit framework that continuously influences knowledge production: what kind of data is considered relevant, how this data is interpreted and the specific social and linguistic context of the organisation, surrounded by unarticulated norms and specific procedures. She asks whether these conventions hamper or obstruct intelligence assessments; an essential analysis, given that history has shown us the grave consequences basing policy on intelligence''s wrong conclusions.
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