Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches

Engineering of knowledge-intensive processes (KiPs) is far from being mastered, since they are genuinely knowledge- and data-centric, and require substantial flexibility, at both design- and run-time. In this work, starting from a scientific literature analysis in the area of KiPs and from three real-world domains and application scenarios, we provide a precise characterization of KiPs. Furthermore, we devise some general requirements related to KiPs management and execution. Such requirements contribute to the definition of an evaluation framework to assess current system support for KiPs. To this end, we present a critical analysis on a number of existing process-oriented approaches by discussing their efficacy against the requirements

A Dashboard-based Approach for Monitoring Object-Aware Processes

Data (e.g., event logs) gathered during the execution of business processes enable valuable insights into actual process performance. To leverage this knowledge, these data should be analyzed and interpreted in the context of the respective processes. Corresponding analyses allow for a comprehensive process monitoring as well as the discovery of weaknesses and potential process improvements. This also applies to object-aware processes, where data drives process execution and, thus, is treated as first-class citizen. This paper introduces a dashboard with advanced monitoring functions for object-aware processes

Cross-Collaboration Processes based on Blockchain and IoT: a survey

Cross-collaboration processes are decentralized by nature and their centralized monitoring can trigger mistrust. Nevertheless, a decentralized monitoring facility such as a blockchain-based and Internet-of-Things-aware (IoT-aware) business process management system can reduce this pitfall. However, concerns related to usability, privacy, and performance, hamper the wide adoption of these systems. To better understand the challenges at stake, this paper reviews the use of blockchain and IoT devices in cross-collaboration processes. This survey sheds some light on standard uses such as model engineering or permissioned blockchains which help adopt cross-collaboration business process management systems. Moreover, with respect to process design, two schools of thought coexist, addressing both constrained and loosely processes. Furthermore, a focus on data-centric processes appears to get some momentum, as many industries go digital. Finally, this survey underlines the need to orient future research towards a more flexible, scalable, and data-aware blockchain-based business process management system

Advancements and Challenges in Object-Centric Process Mining: A Systematic Literature Review

Recent years have seen the emergence of object-centric process mining techniques. Born as a response to the limitations of traditional process mining in analyzing event data from prevalent information systems like CRM and ERP, these techniques aim to tackle the deficiency, convergence, and divergence issues seen in traditional event logs. Despite the promise, the adoption in real-world process mining analyses remains limited. This paper embarks on a comprehensive literature review of object-centric process mining, providing insights into the current status of the discipline and its historical trajectory

KEY BUSINESS ARTIFACTS: A METHODOLOGY FOR THE STRATEGIC MODEL WITHIN THE MDBT (MODEL DRIVEN BUSINESS TRANSFORMATION) FRAMEWORK

analysis methodology that allows a vision of the whole business of a company as a set of interacting Business Artifacts that operate upon firm resources.The concept of Business Artifact (BA) already introduced and used for business process modeling within the Model Driven Business Transformation (MDBT) framework is the basic element of our methodology. The theoretical foundations of the work are provided by the Resource Based View (RBV) of the firm theory (Barney, 1991). Considering that, by definition, each Business Artifact has a data model, in which all the resources it needs and uses during its lifecycle are specified, we want to identify which Business Artifacts are strategically relevant for a company and prioritize them according to the Sustained Competitive Advantage they could be able to provide. These key BAs should then be the target of any IT-dependent strategic initiative, that should include actions aimed at improving or transforming these BAs in order to achieve, mantain and exploit the company competitive advantage