Logo des Repositoriums

Auflistung nach Autor:in "La Rosa, Marcello"

1 - 4 von 4
  • Zeitschriftenartikel
    Business Process Management
    (Business & Information Systems Engineering: Vol. 58, No. 1, 2016) Aalst, Wil M. P.; La Rosa, Marcello; Santoro, Flávia Maria
  • Zeitschriftenartikel
    Interview with Michael Rosemann on “The Role of Business Process Management in Modern Organizations”
    (Business & Information Systems Engineering: Vol. 58, No. 1, 2016) La Rosa, Marcello
  • Zeitschriftenartikel
    Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study
    (Business & Information Systems Engineering: Vol. 63, No. 5, 2021) Martin, Niels; Fischer, Dominik A.; Kerpedzhiev, Georgi D.; Goel, Kanika; Leemans, Sander J. J.; Röglinger, Maximilian; van der Aalst, Wil M. P.; Dumas, Marlon; La Rosa, Marcello; Wynn, Moe T.
    Process mining is an active research domain and has been applied to understand and improve business processes. While significant research has been conducted on the development and improvement of algorithms, evidence on the application of process mining in organizations has been far more limited. In particular, there is limited understanding of the opportunities and challenges of using process mining in organizations. Such an understanding has the potential to guide research by highlighting barriers for process mining adoption and, thus, can contribute to successful process mining initiatives in practice. In this respect, the paper provides a holistic view of opportunities and challenges for process mining in organizations identified in a Delphi study with 40 international experts from academia and industry. Besides proposing a set of 30 opportunities and 32 challenges, the paper conveys insights into the comparative relevance of individual items, as well as differences in the perceived relevance between academics and practitioners. Therefore, the study contributes to the future development of process mining, both as a research field and regarding its application in organizations.
  • Zeitschriftenartikel
    Robotic Process Mining: Vision and Challenges
    (Business & Information Systems Engineering: Vol. 63, No. 3, 2021) Leno, Volodymyr; Polyvyanyy, Artem; Dumas, Marlon; La Rosa, Marcello; Maggi, Fabrizio Maria
    Robotic process automation (RPA) is an emerging technology that allows organizations automating repetitive clerical tasks by executing scripts that encode sequences of fine-grained interactions with Web and desktop applications. Examples of clerical tasks include opening a file, selecting a field in a Web form or a cell in a spreadsheet, and copy-pasting data across fields or cells. Given that RPA canÿautomate a wide range of routines, thisÿraises the question of which routines should be automated in the first place. This paper presents a vision towards a family of techniques, termed robotic process mining (RPM), aimed at filling this gap. The core idea of RPM is that repetitive routines amenable for automation can be discovered from logs of interactions between workers and Web and desktop applications, also known as user interactions (UI) logs. The paper defines a set of basic concepts underpinning RPM and presents a pipeline of processing steps that would allow an RPM tool to generate RPA scripts from UI logs. The paper also discusses research challenges to realize the envisioned pipeline. (**encoding or data invalid**)