Williams, O.C. ORCID: 0000-0002-2764-6253, 2023. A study on the application measurement of agile processes, enterprise agility and the emerging technologies. PhD, Nottingham Trent University.
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Abstract
Technological disruptions have created dynamic situations and organisations seek to remain agile, whilst enhancing its strategic and operational capabilities for competitive advantages. This has become inevitable, as the utilisation of Enterprise Agility (EA) as a mediating effect and Big Data Analytics (BDA) for Customer Satisfaction (Cs) due to performance purposes, could help speed up data-driven processes and enhance internal and external organisational capabilities. With the aim of exploiting BDA and Intelligent Automation (IA) as emerging technologies, to improve agile processes and effect a stable technological platform for change management practices, this research thesis further investigates measures to advance service organisational processes for performance optimisation. This process builds upon an Intelligent Automated (IA) platform as it implements vital security awareness based on policies for cybersecurity measures.
The thesis reviews systematically, literature from the SCOPUS database library by investigating theoretical lenses, mediators and or moderators, key arguments, and findings. It further builds upon these existing views and hypothetical models to derive hypothesis for determining strategic operability procedures for agile process development and competitive advantages.
Using a quantitative approach based on positivism and exploring a neutral service organisation as a case study, this research further analyses the interrelationship amongst variable capabilities of BDA, EA, OP and Cs using Structural Equation Modelling (SEM) approach. Following the results obtained with respect to its significant level, a framework for IA systems in service organisations is developed. This is then implemented into an analytical dashboard application for measuring agility level and implementing service management practices.
Outcomes of this research contributes uniquely to literature and for practices as it provides the awaited need for organisations to assess its agility level, based on change management principles for competitive advantages. It also integrates Security Orchestration, Automation Response (SOAR) framework policies in service organisations to help to detect and trigger actionable security operations due to cybercrimes, by automating remediated actions. Therefore, enabling agile practices.
Item Type: | Thesis | ||||||||||||
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Creators: | Williams, O.C. | ||||||||||||
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Date: | June 2023 | ||||||||||||
Divisions: | Schools > Nottingham Business School | ||||||||||||
Record created by: | Melissa Cornwell | ||||||||||||
Date Added: | 21 May 2024 13:59 | ||||||||||||
Last Modified: | 21 May 2024 13:59 | ||||||||||||
URI: | https://irep.ntu.ac.uk/id/eprint/51458 |
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