Open Access

Carmen Saskia Schöllhorn

• The primary purpose of this thesis is to examine if the implementation of process mining significantly impacts a company’s competitive advantage, what challenges organizations face during that process and while using the tool as well as to identify drivers for business value generation and for which purposes and in which areas process mining is applied along the value chain. Therefore, an exploratory case study was conducted based on ten in-depth expert interviews containing representatives of various industries. Today’s business environment of uncertainty and increasing volatility demands for organizational resilience and adaptability. Businesses recognize the importance of effective process execution and management based on the necessity of process optimization in order to sustain competitive. Due to its universality of application and its ability to deliver ubiquitous value in ways that never have been possible before, process mining is gaining vast popularity across various domains. Findings appear to show that process mining is seen as modern, innovative, and supportive means to gain transparency over processes’ complexity by facilitating the ease of identifying improvement areas on a holistic end-to-end perspective of a company’s value chain. Thus, businesses use process mining to yield the creation of monetary and non-monetary values by deploying an iterative cycle of continuous improvement. Hence, value potentials are realized by transforming actionable insights obtained into suitable actions serving as enablement for value capture. Despite that, process mining impacts organizations on different levels, whereas such impacts potentially affect a company’s competitive advantage through several paths. The study further explores a variety of success factors consisting of antecedents for effective usage and drivers for consistent value creation of process mining. The analysis depicts moderating effects of success factors on several challenges, whereas organizational challenges clearly overweight technical’s. Ultimately, implications for further research and managerial actions are presented focusing on the organizational perspective of process mining.