Dennis M. Riehle

Verified

Dennis M. verified their affiliation via an institutional email.

Learn more

Verified

Dennis M. verified their affiliation via an institutional email.

Learn more

• Prof. Dr.
• Professor at University of Koblenz

Businesses that follow the trend of flexible work arrangements with home offices and hybrid work models are increasingly utilizing desk sharing to allocate available desks in the office efficiently. In this work, we investigate the utilization of flexible work arrangements, specifically the implementation of desk sharing in hybrid work models. To o...

The integration of Large Language Models (LLM) in Conversational Agents (CA) enables a significant advancement in the agents’ ability to understand and respond to user queries in a more human-like manner. Despite the widespread adoption of LLMs in these agents, there exists a noticeable lack of research on standardized evaluation methods. Addressin...

Declarative process modeling languages define business processes using constraints, offering a high degree of flexibility. However, several challenges related to human comprehension of such process models have been identified. This paper introduces the design, development, and evaluation of an intelligent tutoring chatbot aimed at teaching the mode...

This study presents an enhancement to the OGC SensorThings API Data Model tailored for Internet of Things (IoT) environments, demonstrated with a Smart Farming application enhancement. The designed data model addresses critical challenges faced in real-world settings like industrial environments, adhering to the FAIR principles of Findability, Acce...

This paper presents a novel Reference Architecture (RA) for designing complex Internet of Things (IoT) data platforms with a focus on High Availability (HA). HA is crucial in various IoT applications, from smart cities to industrial sectors like smart farming, where system disruptions can lead to significant losses. The RA aims to guide businesses...

This research explores the foundational aspects of Smart Collaboration Spaces (SCS), which integrate environmental data such as air quality and workplace occupancy detection to enhance collaboration and productivity within organizations. The study begins with a literature review of SCS foundations, examining existing technologies and frameworks. Bu...

Smart Cities are experiencing an increasing interest in academia and industry, underscoring the importance of efficiently utilizing sensor data to manage urban resources. The Internet of Things (IoT) is central to Smart City models, employing a variety of sensors to collect diverse data relevant to enhancing the urban living experience. Among the n...

In a human-centered society 5.0, participation in events such as trade fairs and academic conferences should fit the consumer’s profile and enable restriction-free participation by addressing potential economic, spatial, temporal, and individual constraints. Global challenges that have emerged or intensified in the past few years have caused a tran...

Comment sections have established themselves as essential elements of the public discourse. However, they put considerable pressure on the hosting organizations to keep them clean of hateful and abusive comments. This is necessary to prevent violating legal regulations and to avoid appalling their readers. With commenting being a typically free fea...

Over the last decade, researchers presented (semi-)automated comment moderation systems (CMS) based on machine learning (ML) and natural language processing (NLP) techniques to support the identification of hateful and offensive comments in online discussion forums. A common challenge in providing and operating comment moderation systems is the dyn...

Green IS (GIS) research addresses environmental challenges brought on by climate change and the need to preserve the natural environment. Within this scope, design-oriented research, most notably within the Design Science Research (DSR) community, aims to provide solutions to these environmental challenges in the form of novel artifacts. The result...

Green IS (GIS) research addresses environmental challenges brought on by climate change and the need to preserve the natural environment. Within this scope, design-oriented research, most notably within the Design Science Research (DSR) community, aims to provide solutions to these environmental challenges in the form of novel artifacts. The result...

Abuse and hate are penetrating social media and many comment sections of news media companies. These platform providers invest considerable efforts to moderate user-generated contributions to prevent losing readers who get appalled by inappropriate texts. This is further enforced by legislative actions, which make non-clearance of these comments a...

The Diagramed Model Query Language (DMQL) is a structural query language that operates on process models and related kinds of models, e.g., data models. In this chapter, we explain how DMQL works and report on DMQL’s research process, which includes intermediate developments. The idea of a new model query language came from observations in industry...

While abusive language in online contexts is a long-known problem, algorithmic detection and moderation support are only recently experiencing rising interest. This survey provides a structured overview of the latest academic publications in the domain. Assessed concepts include the used datasets, their language, annotation origins and quality, as...

Nowadays fake news are heavily discussed in public and political debates. Even though the phenomenon of intended false information is rather old, misinformation reaches a new level with the rise of the internet and participatory platforms. Due to Facebook and Co., purposeful false information - often called fake news - can be easily spread by every...

Organizations provide their employees with decision support systems (DSS) to facilitate successful decision making. However, the mere provision of a DSS may not be sufficient to facilitate beneficial work outcomes because employees often do not rely on a DSS. Therefore, we examined whether users' trust in a DSS increases positive effects of DSS pro...

The past decade has been characterized by a strong increase in the use of social media and a continuous growth of public online discussion. With the failure of purely manual moderation, platform operators started searching for semi-automated solutions, where the application of Natural Language Processing (NLP) and Machine Learning (ML) techniques i...

Initial results suggest that decision support systems (DSSs) can trigger ‘directed forgetting’ in business settings if users trust in the DSS (Hertel et al., 2019). In the present study, we further examined this trust effect on DSS-cued forgetting and related positive effects on users’ cognitive resources, performance, and well-being. Moreover, we...

Nowadays fake news are heavily discussed in public and political debates. Even though the phenomenon of intended false information is rather old, misinformation reaches a new level with the rise of the internet and participatory platforms. Due to Facebook and Co., purposeful false information - often called fake news - can be easily spread by every...

Abusive language has been corrupting online conversations since the inception of the internet. Substantial research efforts have been put into the investigation and algorithmic resolution of the problem. Different aspects such as “cyberbullying”, “hate speech” or “profanity” have undergone ample amounts of investigation, however, often using incons...

User-generated online comments and posts increasingly contain abusive content that needs moderation from an ethical but also legislative perspective. The amount of comments and the need for moderation in our digital world often overpower the capacity of manual moderation. To remedy this, platforms often adopt semi-automated moderation systems. Howe...

Having the right information at hand is crucial for decision-makers. To support decision-makers with adequate IT systems, it is necessary to know which type of information decision-makers need at their workplace. Therefore, our research goal is providing a framework that structures the information needs for decision-makers in large organizations. I...

In recent years, online public discussions face a proliferation of racist, politically, and religiously motivated hate comments, threats, and insults. With the failure of purely manual moderation, platform operators started searching for semi-automated or even completely automated approaches for comment moderation. One promising option to (semi-) a...

The focus of the Information Systems (IS) research on trust has been on the perception of trust and explaining the concept in terms of its antecedents. The merits of this descriptive and explanatory knowledge notwithstanding, the usefulness and applicability of this knowledge for organizations that aim at actively influencing their trust position i...

Future work environments will offer technical applications to manage increasing amounts of information for organizations, teams, and individuals. In this context, psychological concepts of intentional forgetting (IF) can be applied to improve the performance of work systems or to extend the cognitive capacities of humans in technical systems. Diffe...

Design science research is a common research method in the field of information systems (IS), as it bridges the gap between IS research and practice. The outcome of design science research are artifacts, which-besides others-can be prototypical applications, so-called IT artifacts. When such IT artifacts are evaluated as part of a design science re...

Decision-makers in organisations are often overtaxed by huge amounts of information in daily business processes. As a potential support strategy, this study examined ‘directed forgetting’ (Bjork, 1970) in a simulated sales planning scenario. We assumed that the availability of a computer-based decision support system (DSS) triggers forgetting of de...

Business Process Compliance Management (BPCM) is an integral part of Business Process Management (BPM). A key objective of BPCM is to ensure and maintain compliance of business processes models with certain regulations, e.g. governmental laws. As legislation may change fast and unexpectedly, automated techniques for compliance checking are of great...

Customer movements in large tourism industries (such as public transport systems, attraction parks or ski resorts) can be understood as business processes. Their processes describe the flow of persons through the networked systems, while Information Systems log the different steps. The prediction of how large numbers of customers will behave in the...

This study discusses the potential value of automatic analytics of German texts to detect hate speech. In the course of a preliminary study, we collected a dataset of user comments on news articles, focused on the refugee crisis in 2015/16. A crowdsourcing approach was used to label a subset of the data as hateful and non-hateful to be used as trai...

In business process modelling, it is known that using a consistent labelling style and vocabulary improves process model quality. In this regard, several existing approaches aim at the linguistic support for labelling model elements. At the same time, domain-specific ontologies have been proposed and used to capture important process-related knowle...

Increasing complexity in business processes and the resulting missing manageability are one of the main issues in business process management today. Process owners do not only have to keep track of one aspect of a process (e.g. the correct input and output, the efficiency or the compliance) but of combinations of these. In turn, these aspects are i...

Process models and consequently business process modelling languages get more and more complex. This is especially true for the event-driven process chain (EPC), since the absence of a clearly defined standard renders EPC modelling difficult. On top, modelling itself is no trivial task. To address this issue, several frameworks and guidelines have...

Domain-specific process modelling has gained increased attention, since traditional modelling languages struggle to meet the demands of highly specialized businesses. However, methodological support on the development of such domain-specific languages is still scarce, which hampers the specification of adequate modelling support. To this end, the p...

Business process management (BPM) becomes continuously challenging through a steadily increasing number and even more complex processes. For enabling an effective and efficient control of business processes, (semi-) automatic approaches are necessary as a supporting means. However, these approaches are often hardly applicable in practice since they...

Wearable devices pose novel challenges to the BPM field. The advanced functionality in combination with the increased mobility has rendered devices such as smart glasses particularly suited for mobile process support. However, whereas this support is predominantly limited to information provision and workflow management, the glasses’ capability to...

Mit dem Sinz’schen Semantischen Objektmodell lassen sich Unternehmen und betriebliche Informationssysteme ganzheitlich modellieren. Neben SOM hat die Wissenschaft in den letzten Jahrzehnten weitere Methoden und Verfahren sowie Frameworks zur Modellierung hervorgebracht. Bekannte gebräuchliche Modellierungsframeworks und -methoden sind ARIS, MEMO, i...

The compliance of businesses is a highly relevant topic for companies of all sectors. Compliance comprises all necessities for obeying legal regulations as well as mandatory norms, and violations can entail painful penalties. Since nearly all companies base their daily business on the execution of business processes (consciously or unconsciously),...

Event-driven process chains (EPCs) have been used to create business process models from the early 90s and are still used in research and practice today. However, up to today, there is still no accepted standard for the EPC modelling language, which caused several different EPC dialects to appear and disappear over the last decades. To contribute t...

Nowadays, most process modelling tools implement popular modelling languages such as the Business Process Model and Notation (BPMN) or the Event-driven Process Chain (EPC). However, in contrast to BPMN, no effort has yet been undertaken to standardize the EPC language, thus rendering EPCs as being merely a de-facto standard for business process mod...

The Business Process Modelling Notation (BPMN) and the Event-driven Process Chain (EPC) are both frequently used modelling languages to create business process models. While there is a well-defined standard for BPMN, such a standard is missing for EPC. As a standard would be beneficial to improve interoperability among different vendors, this paper...

When deciding about appropriate modelling languages, the degree of standardization often represents an important decision criterion. Although the EPC is commonly used for process modelling in the last decades, the absence of an official standard leads more and more to its non-consideration. A coherent meta model is a pillar for the specification of...