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2017 | Buch

Innovations in Enterprise Information Systems Management and Engineering

5th International Conference, ERP Future 2016 - Research, Hagenberg, Austria, November 14, 2016, Revised Papers

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Über dieses Buch

This book constitutes revised and peer reviewed contributions from the Research part of the ERP Future 2016 conference held in Hagenberg, Austria, in November 2016.
The ERP Future Research conference is set up as a platform for scientific discussion on enterprise resource planning (ERP) systems, business intelligence (BI) systems, business process management (BPM) systems and information technology systems. The conference acts as a discussion and communication platform for business and technological topics covering ERP systems.
The 7 full and 5 short papers presented in this volume were carefully reviewed and selected from 29 submissions. They were organized in the following topical sections: introduction of enterprise systems; business processes; production processes; and IT-trends.

Inhaltsverzeichnis

Frontmatter

Introduction of Enterprise Systems

Frontmatter
Key Factors for Successful ERP Implementation: Case Studies from Private and Public Organizations in Thailand
Abstract
Enterprise resource planning systems (ERP) are increasingly being adopted by organizations in developing countries. The objective of this study is to understand the processes and explore the key factors affecting ERP implementation in organizations. To derive the factors and to examine the situation of ERP implementation, this study conducts case studies of ERP implementation in private and public organizations in Thailand. The research offers an explanation of the differences in ERP implementation in relation to their organizational and cultural setting. The result from this study can be used as a guide for management in organizations planning to implement ERP to foresee and handle with such issues pertaining to the phenomena effectively.
Paweena Wanchai
Qualitative Analysis of Different ERP Evaluation Models
Abstract
ERP systems help companies to manage their business processes. The simpler and more efficient the business processes in companies run, the more profitable these businesses can be. Therefore, the process of selecting and implementing an ERP system is an important success factor. The qualitative analysis of ERP evaluation models examines necessary phases and activities for selecting a new ERP system.
Christoph Weiss, Manfred Kofler, Johannes Keckeis, Robert Friedemann

Business Processes

Frontmatter
A Fact-Based Meta Model for BPMN
Abstract
Recently, the OMG has been working on developing a new standard for a business process management notation (BPMN). This standard development results in documents that contain the newest approved version of a standard or a standard proposal that can be amended. It is our vision that such a standard document, that also serves as a specification for BPMN modeling tool developers could benefit from a fact-based model in which the same domain knowledge is represented conceptually as a list of concept definitions (including naming conventions), a set of information structure diagrams and the constraints or business rules that govern the instances of the information structure diagrams. In this paper we will show precisely, how such a fact-based conceptual view on a standard document can be created, and we will show how a fact-based approach can improve the completeness of a specification.
Peter Bollen
Elicitation of Processes in Business Process Management in the Era of Digitization – The Same Techniques as Decades Ago?
Abstract
For many decades, process models have built the basis for economically successful participation in the market. Companies are still faced with the task of identifying, defining and visualizing their processes, especially in today’s era of digitization. In this era and due to more and more complex inter-organizational processes across corporate boundaries, the question arises as whether techniques and approaches for elicitation of processes in the context of business process management have changed or if the established techniques are still appropriate. Here, digitization could have significant potential to automate the elicitation of processes. To address this issue we have conducted a systematic literature review and identified the theoretical requirements for the elicitation of processes. Then, based on an interview study with experienced consultants, we compared the theoretic results with the current applied techniques in today’s practice. Selected results are presented and discussed in this paper.
Christian Leyh, Katja Bley, Sebastian Seek
Towards Flexible Business Processes by Supporting Self-Organizing Groups
Abstract
Self-organizing groups are one of the most flexible and complex type of business process adaptations. The actors of a self-organizing group have to communicate with each other and adjust their activities in order to attain a common goal. A major advantage of self-organizing groups is the possibility to leave parts of the process flow unspecified but define the corresponding activities at run-time based on dynamic coordination. In this publication we summarize the requirements of self-organizing groups and provide an approach on how to use an unconventional process engine to support the participants of self-organizing groups to manage their tasks.
Christa Illibauer, Christine Natschläger

Production Processes

Frontmatter
Towards Information Management Support in Test and Piloting of Complex Mechatronic Systems: An Industry Case Study
Abstract
Engineering and testing of mechatronic systems is expected to be heavily impacted by Industry 4.0 and big data, which transform the classic hierarchical information model into decentralized, distributed services. However, it is not sufficient to collect and process big volumes of data in order to realize the expected benefits of Industry 4.0. Industry companies have to establish appropriate interfaces and integration strategies with their established engineering processes and the related information systems. In this paper we present our experiences and the enterprise system infrastructure we developed for test and piloting of complex mechatronic systems at a large engineering and manufacturing company. The implemented solution has become a backbone for systems engineering and is frequently used by various stakeholders. Furthermore, we describe how we extend the approach by integrating data from machinery in the field to ensure “end-to-end digital integration” that provides feedback for the construction and testing of new systems.
Christian Salomon, Rudolf Ramler, Albert Mayrhofer, Gerhard Sperrer
Security Aspects and Models in Cooperative Production Processes
Abstract
Cooperative production is increasingly important in today’s globalized competitive economy, especially for small and medium-sized enterprises (SME). Companies work together and by this share their competencies, information and resources to optimize production. The flexibility demands towards the supporting software applications not only concern the processes and services, but also security aspects. In this paper we focus on access control. A range of security models is studied with respect to their suitability of fulfilling the security requirements for cooperative production. Included are established models such as role-based access control (RBAC), or noticeable ones like attribute-based access control (ABAC), but also rather little-known ones such as break-the-glass (BTG) or intend-based access control (IBAC). The requirements discussed are based on literature study and results of a current application-oriented research project. Finally a recommendation for some specific security models is argued.
Dagmar Auer, Josef Küng
A Practical Approach for Process Mining in Production Processes
Abstract
Processes are the core of an enterprise and describe the interconnection of tasks in daily business. The purpose of this article is to present methods and tools that enable extraction of processes based on the concept of process analysis/mining. This valuable knowledge about the current processes of a company can serve as the starting point for performance analysis and process improvement, for implementation of a software system or for monitoring adherence to processes.
In this paper, we present two actual business scenarios of manufacturing companies and their requirements regarding process analysis. We used a practical research approach including quantitative methods. Important results are the suggestion of a procedure and the development of a process mining tool. A comparison of de jure and de facto processes and a suggestion of optimization potentials complete the work.
Christine Natschläger, Felix Kossak, Christian Lettner, Verena Geist, Andreas Denkmayr, Beate Käferböck

IT-Trends

Frontmatter
Master Data Quality in the Era of Digitization - Toward Inter-organizational Master Data Quality in Value Networks: A Problem Identification
Abstract
Increased digitalization in business and society has prompted drastic changes in companies, and at present, nearly all enterprises face enormous external and internal challenges to staying competitive. One such challenge concerns data quality in various enterprise systems, within both enterprises and entire value networks. Since data will continue to be the foundation of the digital economy, a certain level of data quality is necessary to ensure efficient business processes. Therefore, adequate master data quality management is essential at both the corporate and inter-organizational levels. In response, in light of a systematic literature review and interview study with several business experts experienced in and responsible for master data management in their companies, we not only underscore the need for research on inter-organizational master data quality, but also ultimately derive initial functional requirements for tools that can support inter-organizational information sharing in a value network.
Thomas Schäffer, Christian Leyh
Towards Differentiating Business Intelligence, Big Data, Data Analytics and Knowledge Discovery
Abstract
Confusion, ambiguity and misunderstanding of the concepts and terminology regarding different approaches concerned with analysing massive data sets (Business Intelligence, Big Data, Data Analytics and Knowledge Discovery) was identified as a significant issue faced by many academics, fellow researchers, industry professionals and domain experts. In that context, a need to critically evaluate these concept and approaches focusing on their similarities, differences and relationships was identified as useful for further research and industry professionals. In this position paper, we critically review these four approaches and produce a framework, which provides visual representation of the relationship between them to effectively support their identification and easier differentiation.
Nedim Dedić, Clare Stanier
Significance of Quality 4.0 in Post Merger Process Harmonization
Abstract
Industry 4.0 has received much attention in recent years, in parallel due to an increasing number of mergers and acquisitions (M&As), post merger integrations (PMI) is of continuous interest. Depending on the integration approach, process harmonization is vital during the PMI. The objective of this article is to observe the significance of Quality 4.0 during process harmonization and detect the extent of realization of this vision in service companies. A systematic literature review and empirical research with expert interviews have been executed. The research showed that Industry 4.0 is still a topic of enormous interest although there seems to be a gap between scientific publications and knowledge in practice. Especially towards Quality 4.0 and service companies future research is needed. In none of the service organizations are any intrinsic endeavors for implementing Industry 4.0 elements (e.g. ERP systems). A massive elucidation and information about Industry 4.0 in practice is demanded. Downstream markets could profit immense from the accompanied potential.
Irene Schönreiter
Understanding the Flexibility of Cloud ERP Software
Abstract
Enterprise resource planning (ERP) systems in the cloud are nowadays offered with different service models and deployment options. Depending on these models and options, the degree of flexibility varies as to what the customer gets with regard to customization requirements. Based on an empirical study of cloud ERP systems on the market, the paper focuses on the customization approaches applied by the vendors and the resulting degree of flexibility for adapting specific system elements. Our research shows that different customization options, beyond parameter-based configuration, are usually incorporated into the vendors’ customization strategies. The flexibility depends to a large extent on the maturity of the system, i.e., is it a cloud-native or a cloud-enabled solution.
Dawid Nowak, Karl Kurbel
Backmatter
Metadaten
Titel
Innovations in Enterprise Information Systems Management and Engineering
herausgegeben von
Felix Piazolo
Verena Geist
Lars Brehm
Rainer Schmidt
Copyright-Jahr
2017
Electronic ISBN
978-3-319-58801-8
Print ISBN
978-3-319-58800-1
DOI
https://doi.org/10.1007/978-3-319-58801-8

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