This paper presents a case study of the itsVALUE method, a value-oriented approach used to model and analyze IT services. The case study investigates the application of the itsVALUE method in the exemplary case of the Business Informatics Research Conference 2022 organisation. Finally, this paper also intends to discuss the method’s effectiveness, which include pointing out some weaknesses and providing suggestions for improvement. A semi-structured interview with the conference organizers was conducted to collect the value streams and administrative processes for the event. The phases "Understand and Define Stakeholder Value" and "Understand and Define the Current Value Stream" of the itsVALUE method were applied, modelled using the ADOxx Modeller and afterwards assessed. The results indicate the strengths of the method regarding structured value stream analysis but also pinpoint challenges, especially with respect to the usability of the ADOxx Modeller. The framework for structuring the evaluation was done as a balanced scorecard: method documentation, process efficiency, and practical utility of results were some key evaluated aspects. The paper concludes by giving recommendations for refinement of the itsVALUE method, improvements regarding the ADOxx-based modelling tool, along with some propositions for future research by expanding and generalizing the evaluation results.

In contrast to traditional business models, Digital Business Ecosystems (DBE) have several distinctive features - heterogeneity of involved actors, symbiosis in the exchange of resources, co-evolution of their interactions, and self-organisation. Designing DBEs is a task demanding a well-defined DBE’s scope, roles and responsibilities of the actors, their interactions and dependencies, as well as versatile technologies and data. The study focuses on two DBEs – Marispace-X and Skippo in the maritime domain to capture the tenets of the blue economy with dataspaces. Because the design approaches to DBE are scarce due to the paradigm’s novelty, the study aims to evaluate a model-based design method, DBEmap. The evaluation results concerning practitioners’ perceived usefulness of the DBEmap and its support for integrating DBE-related perspectives and designing and managing DBE resilience are presented. 

There is still a lack of approaches to easily help users cope with the complex and challenging tasks related to Internet of Things (IoT) application development. The absence of standardized procedures and the complexity and heterogeneity of the IoT landscape are perceived as the main challenges. To address the complexity of IoT application development, Model-Driven Development (MDD) has emerged as an effective technique. By means of a Systematic Literature Review (SLR), we provide an overview of the current state of research in MDD for IoT applications. It shows that current approaches often neglect the role of organizational factors. This paper presents a method for MDD of IoT applications that considers both the stated challenges and organizational integration. The method includes a Domain-Specific Modeling Language (DSML) and several functionalities that assist in the modeling and development processes. This eliminates the necessity for any particular IT expertise at the application level. An industrial use case in the field of air conditioning facilities where the method has been implemented is described. Requirements for the methodological and technical support for IoT development were derived from a Small and Medium-Sized Enterprise (SME) during the development process. 

Artificial Intelligence (AI) is a key technology driving digital transformation in enterprises worldwide. However, the implementation of AI projects often faces hurdles, primarily due to misconceptions about AI’s capabilities and suitable applications. This research represents a step in a broader research process aimed at creating an artifact to help companies, particularly those outside the IT sector, navigate these challenges. We present an evaluation of a morphological box that outlines critical factors for successful AI integration. The evaluation was carried out by conducting and analyzing a survey in which participants rated the individual features and values, as well as their structure. We also conducted the Kaiser-Meyer-Olkin and Bartlett tests and created a correlation matrix as statistical measures to identify overlap between the elements of the box. After analyzing the data, we found some further room for improvement but that the box seems to include the generally most important aspects. Overall, the participants’ ratings for the individual elements were also satisfactory.

Artificial Intelligence (AI) is a key technology driving digital transformation in enterprises worldwide. However, the implementation of AI projects often faces hurdles, primarily due to misconceptions about AI’s capabilities and suitable applications. This research represents a step in a broader research process aimed at creating an artifact to help companies, particularly those outside the IT sector, navigate these challenges. We present an evaluation of a morphological box that outlines critical factors for successful AI integration. The evaluation was carried out by conducting and analyzing a survey in which participants rated the individual features and values, as well as their structure. We also conducted the Kaiser-Meyer-Olkin and Bartlett tests and created a correlation matrix as statistical measures to identify overlap between the elements of the box. After analyzing the data, we found some further room for improvement but that the box seems to include the generally most important aspects. Overall, the participants’ ratings for the individual elements were also satisfactory.

Large language models (LLM) are considered by many researchers as promising technology for automating routine tasks. Results from applying LLM in engineering disciplines such as Enterprise Modeling also indicate potential for the support of modeling activities. LLMs are fine-tuned for specific tasks using chat based interaction through the use of prompts. This paper aims at a detailed investigation of the potential of LLMs in Enterprise Modeling (EM) by taking the perspective of EM method adaptation of selected parts of the modeling process within the context of using prompts to interrogate the LLM. The research question addressed is: What adaptations in EM methods have to be made to exploit the potential of prompt based interaction with LLMs? The main contributions are (1) a meta-model for prompt engineering that integrates the concepts of the modeling domain under consideration with the notation of the modeling language applied and the input and output of prompts, (2) an investigation into the general potential of LLM in EM methods and its application in the 4EM method, and (3) implications for enterprise modeling methods.

Automatic text classification is an important area of study in natural language processing (NLP) and machine learning. Text classification has become essential for businesses and organizations to handle incoming documents effectively and efficiently. The main objective of this study is to introduce and evaluate a selection of Free Open Source Software approaches for document classification and compare them against each other regarding their prediction performance and efficiency to identify the best candidate for a specific use case. In addition, the study compares the selected approaches prediction performance, efficiency, and cost-effectiveness with commercial providers’ proprietary software. This comparison provides insights into different approaches’ relative strengths and weaknesses to help businesses decide on the best strategy for their needs.

Staat, Wirtschaft und Gesellschaft müssen sich vor Cybersicherheitsbedrohungen schützen. Das gilt für die Europäische Union, ihre Mitgliedsstaaten und in Deutschland auch für die Bundesländer. Vor allem die Handlungsfähigkeit und Handlungsgeschwindigkeit von Staat und Verwaltung müssen verbessert werden. In diesem Beitrag wird eine mögliche Unternehmensarchitektur vorgestellt und bewertet, die die Bedürfnisse der Länder, Kommunen und der Wirtschaft angemessen berücksichtigt. Es wird ein architektonischer Ansatz zur Integration von Anforderungen und zur Erreichung von Zielen in einer regionalen Zuständigkeit, wie der eines Bundeslandes, vorgestelltund bewertet. Unternehmensarchitekturen sind bei Dienstleistern in der öffentlichen Verwaltung anerkannt, werden aber auf Seiten der verantwortlichen Ebenen, z. B. der Ministerialverwaltung, überwiegend nicht verwendet. In diesem Beitrag wird anhand einer Architektur evaluiert, wie Herausforderungen und Anforderungen zu einer partiellen Referenzarchitektur führen können. 

Objectives

Indoor navigation systems (indoor positioning systems) can improve orientation for patients in hospitals and help employees to track assets. Many hospitals would like to implement indoor positioning systems but do not know how. To support them in doing this, and to gain knowledge about the requirements for indoor positioning system implementation, our research identifies the design criteria relevant to indoor positioning system implementation projects.

Methods

A design science research process is built to design and evaluate an artifact. For this, five indoor positioning system developers and five hospital IT management representatives from various hospitals and companies in Germany are interviewed. Further, controlled experiments are conducted in Germany, using an ultrasound-based indoor positioning system.

Results

We determined and tested indoor positioning system functions, evaluated indoor positioning system performance criteria, and identified the operating conditions in hospitals. Our results show that indoor positioning system functions should provide a benefit to a hospital's daily operations, that some performance criteria are more important than others, and that operating conditions are important, e.g., radiation.

Conclusion

As a theoretical contribution, we show how design science research can be applied to the context of indoor positioning systems in hospitals. In addition, we make a practical contribution in that our propositions can be used for future indoor positioning system developments.