Process mining techniques are able to extract knowledge from event logs commonly available in today’s information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. There are two main drivers for the growing interest in process mining. On the one hand, more and more events are being recorded, thus, providing detailed information about the history of processes. On the other hand, there is a need to improve and support business processes in competitive and rapidly changing environments. This manifesto is created by the IEEE Task Force on Process Mining and aims to promote the topic of process mining. Moreover, by defining a set of guiding principles and listing important challenges, this manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users. The goal is to increase the maturity of process mining as a new tool to improve the (re)design, control, and support of operational business processes

MobiGuide's feasibility was demonstrated by a working prototype for the AF and GDM domains, which is usable by patients and clinicians, achieving high compliance to self-measurement recommendations, while enhancing the satisfaction of patients and care providers.

Purpose -The paper aims at providing a conceptual framework based on clearly defined concepts and notions, which integrates goals into process modeling and specifically distinguishes goals from soft-goals or business measures. The application of this framework facilitates a systematic use of soft-goals in process design. Design/methodology/approach -The framework is developed on the basis of Bunge's well-established ontology. It is applied to processes taken from the SCOR supply chain reference model for demonstration and evaluation. Findings -Applying the framework to the SCOR processes resulted in a set of focused relations between soft-goals and processes, as opposed to the ones suggested originally in the SCOR model. This demonstrates the usefulness of the framework in process design.Research limitations/implications -The approach presented in the paper is still rather a theoretical framework than a fully validated procedure. It should be tested on larger-scale cases in more practical settings and evaluated accordingly. Practical implications -Applying the clearly defined concepts of the framework and the suggested analysis procedure is expected to lead to focused and applicable measures tied to business process during process design, and provide a basis for process measurement requirements to be supported by an information system. Originality/value -The contribution of the paper is both theoretical and practical. It provides clear-cut ontology-based definitions to concepts which so far have been assigned fuzzy and ambiguous meaning and uses these definitions for systematically tying business measures to business processes.

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