AI Enabled Dynamic Capabilities

Helping Large Organisations to Overcome Disruptions with a Capability Orchestration Framework

Master thesis (2020)

Authors

K.L. Smith Industrial Design Engineering

Contributors

S.C. Santema Responsible Marketing and Consumer Behavior (mentor)
E.Y. Kim Responsible Marketing and Consumer Behavior (mentor)
A.G. Plugge Responsible Marketing and Consumer Behavior (mentor)
Faculty
Industrial Design Engineering, Industrial Design Engineering
Copyright: © 2020 K.L. Smith
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Published Date

26-08-2020

Language

English

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Faculty

Industrial Design Engineering

Abstract

Due to globalisation and technological advancements, the world is becoming increasingly complex. Volatile, uncertain, complex and ambiguous (VUCA) environments have called for organisations to become more agile in order to survive and compete in such changing environments. Large organisations are at particular risk for becoming stagnant due to operational inertia. In order to combat this and achieve agility, dynamic capabilities are developed. These capabilities allow an organisation to more effectively and efficiently change to incoming threats or opportunities. Such changes create uncertainty and insecurity amongst employees which translates into higher employee turnover and decreased performance. Stability therefore needs to be provided for individuals, while achieving dynamacy for organisations. This paradox of dynamic stability drives research into understanding relationships and effects caused by
disruptions. Covid-19 is used as an extreme use case in order to create these understandings. After primary and secondary research conclusions were developed, a conceptual framework was developed in order to orchestrate capabilities. This aims to help speed up the time taken for opportunities/threats to be translated into outcomes. This also aims to help improve the depth, diversity and accuracy of these outcomes.