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Model for Strengthening Digital Transformation Across Business and Financial Process Systems
Subject area: Science,Engineering and Technology · Area of research: Digital Transformation
Abstract
The accelerating pace of digital innovation has transformed how enterprises operate, manage data, and make strategic decisions. However, many organizations continue to face significant challenges in fully integrating digital technologies across their business and financial process systems. This presents a Model for Strengthening Digital Transformation Across Business and Financial Process Systems, aimed at establishing a holistic framework for technological alignment, process optimization, and data-driven financial control. The proposed model integrates strategic alignment, process digitalization, technology architecture, and human capital development to enable seamless interoperability between operational and financial domains. By applying core digital transformation principles automation, analytics, and agility the model enhances efficiency, transparency, and responsiveness in enterprise systems. This identifies that effective digital transformation requires not only technological investment but also organizational readiness, leadership commitment, and robust governance structures. Through phased implementation assessment, strategy design, integration, monitoring, and continuous improvement the model provides a systematic roadmap for embedding digital capability within business and financial ecosystems. Furthermore, the framework emphasizes the importance of performance measurement through real-time analytics and key performance indicators (KPIs) that link operational efficiency to financial outcomes such as cost reduction, cash flow improvement, and profitability growth. The findings suggest that organizations adopting this integrated model can achieve higher levels of digital maturity, operational agility, and financial resilience. The model contributes to both theory and practice by offering a structured approach to harmonizing business and financial transformations in an increasingly data-centric and competitive environment. Future research should explore the integration of emerging technologies such as artificial intelligence, blockchain, and predictive analytics to further enhance decision-making and sustainability in digital enterprises.
Keywords
Digital Transformation, Business Process Systems, Financial Systems, Process Automation, Data Analytics, Strategic Alignment, Organizational Agility, Performance Measurement, Digital Maturity, Enterprise Innovation.
How to cite this paper
@article{1712136,
author = {Anuoluwapo Deborah Popoola},
title = {Model for Strengthening Digital Transformation Across Business and Financial Process Systems},
journal = {Iconic Research And Engineering Journals},
year = {2019},
volume = {3},
number = {6},
pages = {395-415},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1712136.pdf},
abstract = {The accelerating pace of digital innovation has transformed how enterprises operate, manage data, and make strategic decisions. However, many organizations continue to face significant challenges in fully integrating digital technologies across their business and financial process systems. This presents a Model for Strengthening Digital Transformation Across Business and Financial Process Systems, aimed at establishing a holistic framework for technological alignment, process optimization, and data-driven financial control. The proposed model integrates strategic alignment, process digitalization, technology architecture, and human capital development to enable seamless interoperability between operational and financial domains. By applying core digital transformation principles automation, analytics, and agility the model enhances efficiency, transparency, and responsiveness in enterprise systems. This identifies that effective digital transformation requires not only technological investment but also organizational readiness, leadership commitment, and robust governance structures. Through phased implementation assessment, strategy design, integration, monitoring, and continuous improvement the model provides a systematic roadmap for embedding digital capability within business and financial ecosystems. Furthermore, the framework emphasizes the importance of performance measurement through real-time analytics and key performance indicators (KPIs) that link operational efficiency to financial outcomes such as cost reduction, cash flow improvement, and profitability growth. The findings suggest that organizations adopting this integrated model can achieve higher levels of digital maturity, operational agility, and financial resilience. The model contributes to both theory and practice by offering a structured approach to harmonizing business and financial transformations in an increasingly data-centric and competitive environment. Future research should explore the integration of emerging technologies such as artificial intelligence, blockchain, and predictive analytics to further enhance decision-making and sustainability in digital enterprises.},
keywords = {Digital Transformation, Business Process Systems, Financial Systems, Process Automation, Data Analytics, Strategic Alignment, Organizational Agility, Performance Measurement, Digital Maturity, Enterprise Innovation.},
month = {December},
}