Enhancing IT Service Management in Indian IT Organizations: A Technological Integration of ISO 20000 with AI, Blockchain, Predictive Analytics, and Zero Trust Security

The paper presents the research that describes the impact of implementing ISO 20000 in the Service Management System (SMS) in Indian IT organizations with an innovative approach to enhance its effectiveness based on emerging technologies. ISO 20000 has gained wide recognition for delivering service in an improved manner, improved operational efficiency, and regulatory compliance consciousness, but it is time that artificial intelligence (AI), blockchain technology, and predictive analytics technology find their way into IT service management beyond ordinary standards. Incidents can be resolved with more speed and efficiency, together with AIOps launched, blockchain-predicting Logs for service logs, and provide security and transparency, and Predictive Analytics for resource allocation to avoid service disruption. In addition, the implementation of a zero-trust security architecture is used to enhance data integrity, protect it from potential threats, and strengthen cybersecurity resilience. This study validates the proposed model through a mixed-methods research approach (surveys, case studies, and experimental validation) and shows how the proposed model can benefit Indian IT firms. They indicate huge improvement in terms of service reliability, compliance adherence, and customer satisfaction. Integration of such advanced technological solutions within ISO 20000 will not only provide Indian IT organizations a new yardstick to measure IT service management excellence but also extend the framework of ITSM to a more robust and proactive one.

Authors

Publication Details

Journal
Indian Journal of Information Sources and Services
Published
2025-03-28
DOI
https://doi.org/10.51983/ijiss-2025.ijiss.15.1.34
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
Controls
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article

Enhancing IT Service Management in Indian IT Organizations: A Technological Integration of ISO 20000 with AI, Blockchain, Predictive Analytics, and Zero Trust Security

Ramakrishnan Parthasarathi, Harihara Shanmugam, K.K Sulfath, P. M Shareef
1 citations
Indian Journal of Information Sources and Services
Big Data and Business Intelligence
2.28
article

Enhancing IT Service Management in Indian IT Organizations: A Technological Integration of ISO 20000 with AI, Blockchain, Predictive Analytics, and Zero Trust Security

Ramakrishnan Parthasarathi, Harihara Shanmugam, K.K Sulfath, P. M Shareef
article en
1 citations

Abstract

The paper presents the research that describes the impact of implementing ISO 20000 in the Service Management System (SMS) in Indian IT organizations with an innovative approach to enhance its effectiveness based on emerging technologies. ISO 20000 has gained wide recognition for delivering service in an improved manner, improved operational efficiency, and regulatory compliance consciousness, but it is time that artificial intelligence (AI), blockchain technology, and predictive analytics technology find their way into IT service management beyond ordinary standards. Incidents can be resolved with more speed and efficiency, together with AIOps launched, blockchain-predicting Logs for service logs, and provide security and transparency, and Predictive Analytics for resource allocation to avoid service disruption. In addition, the implementation of a zero-trust security architecture is used to enhance data integrity, protect it from potential threats, and strengthen cybersecurity resilience. This study validates the proposed model through a mixed-methods research approach (surveys, case studies, and experimental validation) and shows how the proposed model can benefit Indian IT firms. They indicate huge improvement in terms of service reliability, compliance adherence, and customer satisfaction. Integration of such advanced technological solutions within ISO 20000 will not only provide Indian IT organizations a new yardstick to measure IT service management excellence but also extend the framework of ITSM to a more robust and proactive one.

Indian Journal of Information Sources and ServicesVol. 15(1)
Openalex Percentile: Top 13%
Big Data and Business Intelligence
2.28
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