This PhD research explores the development of service ramp-up management, a multidisciplinary concept that encompasses the processes and strategies employed to effectively introduce and rapidly scale services in today’s dynamic business environment. This research addresses the complexities associated with service ramp-up and aims to answer two simple but fundamental research questions (RQs) in this context; When and How to ramp-up a service. To achieve these objectives, the research employed a Design Science Research (DSR) methodology, beginning with a systematic literature review (SLR) on decision-making in ramp-up management (DMiRM). A conceptual framework, obtained from the SLR funding, is proposed to provide a structured approach for DMiRM and guide decision-makers in ramp-up strategies. The research then focuses on agile ramp-up concept as an emerging paradigm crucial for the successful execution of service ramp-up projects. A conceptual Framework has been proposed for agile ramp-up phase to answer the first RQ: When to ramp-up. This framework, structured around five key stages and agile stage-gate model, underscores the importance of iterative development and continuous improvement in the context of service ramp-up. As the primary contribution of this research, this PhD research proposes a comprehensive framework namely “Agile Ramp-up Framework for Escalation Stage (ARFES)” to address the second RQ: How to ramp-up. ARFES integrates structured yet flexible approaches, enabling organizations to rapidly and swiftly adapt to evolving market conditions and customer demands. Moreover, ARFES incorporates a range of concepts, techniques, and methodologies including agility and agile principles, simulation , sustainability and performance indicators, risk management, and Business Process Standardization (BPS), to facilitate systematic and iterative process performance improvements. Following the designated DSR methodology, the framework was evaluated and refined through two iterations: a content validity assessment and a detailed practical use case in a Additive Manufacturing Service.

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