Date of Award

Spring 12-2019

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Information Systems (PhDIS)

Department

Business and Information Systems

First Advisor

Cherie Noteboom

Second Advisor

Zixing Shen

Third Advisor

Stacey Berry

Abstract

Attempts to create a structured sensemaking model have proven difficult. Much of the research today has evolved into a cacophony of conceptual models. Many of these sensemaking models have been proposed but not tested. Using structural equations, a unified model of sensemaking was developed and tested. This structured sensemaking model contains five sensemaking constructs: chaos, anchoring, articulation, retrospection, and identity. This model was tested using data collected from 224 educationally focused YouTube videos. The confirmatory factor model developed for this research has a measured Comparative Fit Index of 0.979, a measured Standardized Root Mean Square Residual of 0.078, and a measured Akaike’s Information Criterion of 182.892. The associated structural model has a measured Comparative Fit Index of 0.991, a measured Standardized Root Mean Square Residual of 0.047, and a measured Akaike’s Information Criterion of 131.680. This theory of structured sensemaking supports a) the unification of five sensemaking constructs b) a structured sensemaking framework c) the integration of information theory and d) a reusable sensemaking method. This structured sensemaking framework is the first of its kind.

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