PL
 |
EN
Preferencje help
Polish version English version Język
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 8

Liczba wyników na stronie
first rewind previous Strona / 1 next fast forward last
Wyniki wyszukiwania
Wyszukiwano:
w słowach kluczowych:  business data processing
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 1 next fast forward last
1
Content available remote Using Free-Choice Nets for Process Mining and Business Process Management
van der Aalst Will M. P.
Annals of Computer Science and Information Systems
|
2021
|
Vol. 25
9--15
EN
Free-choice nets, a subclass of Petri nets, have been studied for decades. They are interesting because they have many desirable properties normal Petri nets do not have and can be analyzed efficiently. Although the majority of process models used in practice are inherently free-choice, most users (even modeling experts) are not aware of free-choice net theory and associated analysis techniques. This paper discusses free-choice nets in the context of process mining and business process management. For example, state-of-the-art process discovery algorithms like the inductive miner produce process models that are free-choice. Also, hand-made process models using languages like BPMN tend to be free-choice because choice and synchronization are separated in different modeling elements. Therefore, we introduce basic notions and results for this important class of process models. Moreover, we also present new results for free-choice nets particularly relevant for process mining. For example, we elaborate on home clusters and lucency as closely-related and desirable correctness notions. We also discuss the limitations of free-choice nets in process mining and business process management, and suggest research directions to extend free-choice nets with non-local dependencies.
2
Content available remote Critical Success Factors for Digitalization Projects
Leyh Christian, Köppel Konstanze, Neuschl Sarah, Pentrack Milan
Annals of Computer Science and Information Systems
|
2021
|
Vol. 25
427--436
EN
Our paper provides insights into which critical success factors (CSFs) for digitalization projects are seen as important from the companies' perspective based on an online survey. The results presented in this paper show that CSFs of the dimensions of Corporate organization and Technology are considered to be of particular relevance, as stated by the companies, with Corporate culture, Top management support, and a Unified digital corporate strategy/vision as the three most important CSFs. Therefore, this paper contributes to the CSF research regarding digital transformation and enables the development of practiceoriented recommendations for action and assistance in shaping digital transformation.
3
Content available remote Scaling agile on large enterprise level with self-service kits to support autonomous teams
Poth Alexander, Kottke Mario, Riel Andreas
Annals of Computer Science and Information Systems
|
2020
|
Vol. 21
731--737
EN
Organizations are looking for ways of establishing agile and lean delivery processes. In this paper, we propose a particular way which based on self-service kits (SSK's). The SSK approach can be used to share expert knowledge in an agile and scalable way to the teams by offering them approaches, methods and tools with background information about the addressed topic. An SSK is provided as a digital bundle of artifacts that help solving an issue related to agile teams. Built upon the pull-principle, it supports team autonomy during teams' delivery procedures. An SSK addresses generic as well as domain specific topics. As all SSK's share a common structured approach to supporting an agile organization, they help systematically scaling expert knowledge. This leverages establishing best practices elaborated by experts in a large scale organization in a native agile manner. As an SSK is structured as a ``how-to'' guide including templates for learning by doing, it helps emphasizing quality aspects too. We demonstrate an example of the systematic application of the SSK approach as well as its scaling in the Volkswagen Group IT.
4
Content available remote Motivations for BPM adoption: initial taxonomy based on online success stories
Gabryelczyk Renata, Biernikowicz Aneta
Annals of Computer Science and Information Systems
|
2019
|
Vol. 18
659--662
EN
The main aim of this research in progress is to develop an initial taxonomy of motivations underlying BPM (Business Process Management) adoption in organizations. This initial study is based on the analysis of 75 customer cases and success stories published on-line by BPM system vendors and BPM consulting companies. We used the mixed conceptual/empirical approach to taxonomy development basing the empirical analysis on descriptive data-coding canon. As the result of our research we present an initial taxonomy of the motivations for the adoption and use of BPM that consists of three dimensions: the organizational scope of a BPM initiative (enterprise-wide, process-focused or task oriented); presence (or not) of the information technology component; and, the importance of external versus internal drivers motivating a BPM initiative. Proposed initial taxonomy will be developed in further research and will serve to link the motivation to change with the expected benefits of BPM adoption.
5
Content available remote Deriving workflow privacy patterns from legal documents
Robak Marcin, Buchmann Erik
Annals of Computer Science and Information Systems
|
2019
|
Vol. 18
555-563
EN
The recent General Data Protection Regulation (GDPR) has strengthened the importance of data privacy and protection for enterprises offering their services in the EU. Important part of intensified efforts toward better privacy protection is enterprise workflow redesign. It has been already found that the privacy level can be raised with applying the privacy by design principle when re(designing) workflows. A conforming and promising approach is to model privacy relevant workflow fragments as Workflow Privacy Patterns (WPPs) which provide abstract, ‘best practices‘ solution proposals to problems recurring in privacy-aware workflows. WPPs are intended to support process developers, auditors and privacy officers by providing pre-validated patterns that correspond with existing data privacy regulations. However, it is unclear yet how to obtain WPPs with an appropriate level of detail. In this paper, we will introduce our approach to derive WPPs from legal texts and other descriptive regulations. We propose a structure of a WPP, which we derive from pattern approaches from other research areas. We also show the steps for designing a WPP. We think that this approach can be an valuable input towards supporting privacy in enterprises.
6
Content available remote BPM tools for asset management in renewable energy power plants
Carchiolo Vincenza, Catalano Giovanni, Malgeri Michele, Pellegrino Carlo, Platania Giulio, Trapani Natalia
Annals of Computer Science and Information Systems
|
2019
|
Vol. 18
645--649
EN
Business Process Management (BPM) is an accepted discipline and its importance in increasing automation inside industrial environment is today recognized by all players. The complexity of modern management process will lead to chaos without a well-designed and effective BPM. Today, several tools exist, both commercial and open-source, but the selection of the appropriate tool for each organization could be a hard work. Several BPM Suites were compared and BPM approach was applied to the case study of process management in a renewable energy power plant. Results both in process reduction and simplification and flow optimization obtained in the real case are discussed to state efficacy and efficiency of the adopted approach.
7
Content available remote Accurate retrieval of corporate reputation from online media using machine learning
Klein Achim, Riekert Martin, Dinev Velizar
Annals of Computer Science and Information Systems
|
2019
|
Vol. 18
43--46
EN
Corporate reputation is an economic asset and its accurate measurement is of increasing interest in practice and science. This measurement task is difficult because reputation depends on numerous factors and stakeholders. Traditional measurement approaches have focused on human ratings and surveys, which are costly, can be conducted only infrequently and emphasize financial aspects of a corporation. Nowadays, online media with comments related to products, services, and corporations provides an abundant source for measuring reputation more comprehensively. Against this backdrop, we propose an information retrieval approach to automatically collect reputation-related text content from online media and analyze this content by machine learning-based sentiment analysis. We contribute an ontology for identifying corporations and a unique dataset of online media texts labelled by corporations' reputation. Our approach achieves an overall accuracy of 84.4%. Our results help corporations to quickly identify their reputation from online media at low cost.
8
Content available The use of Petri nets in decision support systems based on intelligent multiply source data analysis
Rymarczyk T., Kłosowski G., Cieplak T.
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
|
2017
|
T. 7, nr 4
24--27
EN
The paper deals with the design of data analysis systems for business process automation. A general scheme of decision support system was developed in which one of the modules is based on Petri Nets. The way of implementation of Petri Net model in optimization problem regarding serviceoriented decision support system was shown. The Petri Net model of distribution workflow was presented and simulation experiments was completed. As a result the optimal solution as a set of parameters was emerged.
PL
Artykuł dotyczy problematyki projektowania zautomatyzowanych systemów analizy danych biznesowych. Opracowano ogólny model systemu wspomagania decyzji, w którym jeden z modułów funkcjonuje w oparciu o sieci Petriego. Zaprezentowano sposób implementacji sieci Petriego do realizacji zadań optymalizacyjnych dotyczących zorientowanego na usługi systemu wspomagania decyzji. Przeprowadzono szereg eksperymentów symulacyjnych wykorzystując model przepływu pracy utworzony na bazie sieci Petriego. Rezultatem badań było wyłonienie optymalnego zbioru parametrów procesu biznesowego.
first rewind previous Strona / 1 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.