Synergizing AI and Business Analytics for End-to-End Process Digitization: Frameworks for Sustainable Transformation

• Author(s): Enuma Ezeife ; Telma Erebor ; Alexandra Buchanan ; Raphael Iyitor
• Paper ID: 1708892
• Page: 238-252
• Published Date: 27-12-2022
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 6 Issue 5 November-2022

Abstract

This paper critically reviews the convergence of artificial intelligence (AI) and business analytics as key drivers of end-to-end process digitization, with an emphasis on sustainability imperatives. The study employs a systematic literature review methodology to explore three research questions: the nature of existing frameworks integrating AI and analytics; the critical factors that determine the success of digitization initiatives; and the metrics used to evaluate impacts on sustainable transformation. Drawing from both theoretical and empirical literature, the findings reveal that while numerous frameworks depict staged integration of AI and analytics, few incorporate explicit sustainability targets into their design. Organizational factors such as leadership commitment, data governance, and a culture of continuous learning emerge as pivotal enablers, aligning with social and environmental considerations when guided by clear strategic priorities. At the same time, barriers including data fragmentation, regulatory uncertainties, and skills shortages underscore the complexity of implementing AI–analytics solutions that uphold ethical and ecological standards. In terms of impact evaluation, research increasingly emphasizes holistic metrics that measure economic, social, and ecological performance in unison. This points to a growing need for standardized indicators and adaptive feedback loops that allow organizations to respond promptly to sustainability challenges. Overall, the review underscores the potential of AI-powered analytics to drive robust and responsible process digitization, while also highlighting gaps in current frameworks and measures that must be addressed for truly sustainable outcomes.

Citations

IRE Journals:
Enuma Ezeife , Telma Erebor , Alexandra Buchanan , Raphael Iyitor "Synergizing AI and Business Analytics for End-to-End Process Digitization: Frameworks for Sustainable Transformation" Iconic Research And Engineering Journals Volume 6 Issue 5 2022 Page 238-252

IEEE:
Enuma Ezeife , Telma Erebor , Alexandra Buchanan , Raphael Iyitor "Synergizing AI and Business Analytics for End-to-End Process Digitization: Frameworks for Sustainable Transformation" Iconic Research And Engineering Journals, 6(5)