Abstract
The world is becoming a volatile place and high-threat environments becoming too dangerous to send personnel, lack of human intelligence has placed a greater stress on, signals intelligence to provide military commanders with greater knowledge of dangerous actors and potential threats. Therefore, this study ascertained intelligence gathering in Nigeria in the 21st century a study of Isoko South Local Government Area of Delta State. The study adopted cross-sectional survey research design from 192 respondents in military and paramilitary establishments in the state and was selected through multi-stage sampling technique. Structural-functional theory and social learning Theory relevant theories reviewed. The study adopted Structural-functional theory as the theoretical framework. Two hypotheses were formulated for the study. The data collected from the respondents were analyzed using chi-square (χ2) statistics. The study also revealed that with the computed χ2 = (N=192), 69.329; df=1, p
Keywords
Intelligence Gathering, Crime, Isoko South Local Government Area, Security Authorship: Itoje-Akpokiniovo, Lilian O. | FULL PDF
Full Text
The world is becoming a volatile place and high-threat environments becoming too dangerous to send personnel, lack of human intelligence has placed a greater stress on, signals intelligence to provide military commanders with greater knowledge of dangerous actors and potential threats. Therefore, this study ascertained intelligence gathering in Nigeria in the 21st century a study of Isoko South Local Government Area of Delta State. The study adopted cross-sectional survey research design from 192 respondents in military and paramilitary establishments in the state and was selected through multi-stage sampling technique. Structural-functional theory and social learning Theory relevant theories reviewed. The study adopted Structural-functional theory as the theoretical framework. Two hypotheses were formulated for the study. The data collected from the respondents were analyzed using chi-square (χ2) statistics. The study also revealed that with the computed χ2 = (N=192), 69.329; df=1, p