Explaining Security-Leadership decision-making outcome variations in crises involving the use of Big Data and Digital Technologies

Student thesis: Doctoral ThesisDoctor of Philosophy


The primary question that this thesis addresses is: within situations where leadership decides disaster outcomes variations and uses digital technologies and big data, is there something about the way that they use big data and digital technologies that explains these outcomes variations? The thesis explores the use of different methods including a systematic review of literature, semantic and discourse networks of concepts, a Tobit Regression, Necessary Condition Analysis (NCA), and cross-case comparisons of 37 disaster events using fuzzy-set Qualitative Comparative Analysis (fsQCA) as well as a Q-Methodology study of 2 cases (the Lagos 2014 Ebola and the Lagos 2012 and 2017 floods) to answer the question.

Contrary to findings from the literature that attribute outcome effectiveness to security leadership decisions in natural hazard related disasters involving the use of big data and digital technologies, the thesis reveals that there are cases under similar contexts with outcome ineffectiveness. The thesis finds that highly effective distributed conversation and high information quality are necessary for effective outcome in the context of interest. Low or absence of distributed leadership, Low or ineffective disaster preparation, low or ineffective information quality are individually necessary for ineffective outcomes in the stated security-leadership context.

More importantly, this thesis contributes a methodological innovativeness to the study of security-leadership and disaster management especially in small- and medium-N cases involving the use of big data and digital technologies.
Date of Award1 Dec 2021
Original languageEnglish
Awarding Institution
  • King's College London
SupervisorFunmi Olonisakin (Supervisor) & Mischa Dohler (Supervisor)

Cite this