OPERATIONAL GOVERNANCE MODELS FOR MULTIPARTY IT SERVICE MANAGEMENT (ITSM) INTEGRATIONS

Abstract

The growing complexity in digital infrastructures has contributed to organizations moving towards multiparty IT service management (ITSM) environments with many vendors, cloud providers, and operational units within organizations. Though these distributed service ecosystems enhance flexibility and scalability, they pose a serious governance challenge in terms of coordination, accountability and ensuring effective service performance monitoring. The presented review analyses the models of operational governance that have been created to coordinate multiparty ITSM integrations and discusses their effectiveness in facilitating the efficient delivery of reliable services over distributed service networks. The literature review was developed holistically to find the governance frameworks, coordination mechanisms and operational outcomes of multiparty ITSM settings. The analysed literature demonstrates that a few prevailing forms of governance systems exist, i.e., centralized coordination, distributed governance, and a hybrid system of governance, which combines strategic control with decentralized operational control. Empirical studies indicate that organizations with integrated governance structures may experience improvements in incident resolution efficiency, compliance with service levels, and overall service reliability. The analysis also identifies the presence of technological innovations, such as service management platforms, predictive analytics, and process mining techniques, in increasing the levels of governance transparency and operational coordination. Yet, with the emerging technological trends, like microservice architecture, multi-cloud architecture, and automated service orchestration, new governance concerns emerge that demand an adaptive governance model that can dynamically respond to evolving service ecosystems. Future scholarship ought to concentrate on the evidence-based governance structures, governance support mechanisms enabled by automation, and the seamless governance archetypes that can contain the service landscape of growing complexity at digital levels. Insights into how governance structures organize distributed service operations are essential for ensuring the sustainability and functionality of modern IT service ecosystems.