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Gap Analysis of the Implementation of Intelligent Process Automation in the Industrial Context in Sri Lanka – A Systematic Literature Review

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Abstract:

Intelligent Process Automation represents the integration of Robotic Process Automation,Artificial Intelligence, and Business Process Management aimed at streamlining complex businessprocesses. A Systematic Literature Review (SLR) was conducted to explore the implementation landscapeof IPA within the global and Sri Lankan industrial context, a domain with limited empiricalexploration. The study systematically analyzed 142 publications in Web of Science and Scopus andvisualized bibliometric networks through the VOS viewer and Bibliometrix, which are built into the Rsoftware package using the PRISMA protocol. Despite global advancements and growing academicinterest, the review reveals a significant gap in IPA research in Sri Lanka, both in terms of context,empirical evidence, and theoretical foundations. The opportunities for industrial transformation wereindicated by the emergence of two main thematic clusters, comprising intelligent process automationtechnologies and their strategic applications. Furthermore, a density visualization demonstratedthe limited involvement of Sri Lankan institutions, highlighting the need for localized research. Thestudy examines the determinants that influence the adoption of IPA, such as trust, transparency, anduser attitudes, through the lens of the extended Unified Theory of Acceptance and Use of Technology(UTAUT). Additionally, it identifies barriers like knowledge hiding and resistance to AI-driven innovationsgrounded in organizational behavior theories, including the Not-Invented-Here Syndromeand knowledge-based views. The findings propose that business model innovation supported by stronggovernance, employee readiness, and aligned strategic vision is critical for successful IPA integration.The study highlights under-researched areas and establishes a foundation for future empirical investigationsin the Sri Lankan industrial domain.

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Periodical:

Advances in Science and Technology (Volume 177)

Pages:

61-69

DOI:

https://doi.org/10.4028/p-un4Vn8

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Online since:

May 2026

Authors:

Pathum Udukumburage*, Chamli Pushpakumara

Keywords:

Artificial Intelligence, Bibliometric Analysis, Business Process Management, Intelligent Process Automation, Robotic Process Automation, Systematic Literature Review

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© 2026 Trans Tech Publications Ltd. All Rights Reserved

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