E-commerce is one of the most important sectors of the economy, with an expected global turnover of USD 7.4 trillion in 2024. Leading companies in the industry like Amazon and Alibaba leverage platform business models that orchestrate complex ecosystems of buyers and sellers. These ecosystems are characterized by globally intertwined networks of independent participants and multifaceted interactions, making their development hard to predict. We propose an agent-based simulation approach, following the three-step process of Haki et al. (2020), to predict the behavior of e-commerce ecosystems with a particular focus on the impact of premium subscription services. Simulation models offer the opportunity to tangibly visualize the effects of a participant's actions on the ecosystem level. Our simulation includes the key actors (i.e., buyer, seller, marketplace), their characteristics, and behaviors to draw conclusions about the evolution of the ecosystem and the strategic role of premium memberships in shaping these digital landscapes.

The tourism industry plays a crucial role in many countries and has suffered under the global events of the last years (e.g., COVID-19, economic recession) with a decline in visitors and economic contributions. Through digitalization efforts of cities and states, smart tourism destinations use emerging technologies like the Internet of Things and Smart Services to provide rich on-site experiences for visitors, hoping to increase their competitiveness and attract new tourists. By conducting a design science research project in collaboration with a German municipality, this paper aims to explore how digital assistants should be designed in the context of smart tourism. Based on expert interviews and a multi-case study of 37 tourism apps, we were able to develop twelve key design principles for smart tourism applications, evaluated through a prototypical instantiation, to create design knowledge for the digitalization of tourism.

The role of artificial intelligence in daily life is constantly advancing and has become an important topic of discussion. With music and its lyrics being a vehicle to express topics of society, this paper investigates how artificial intelligence is perceived by musicians and reflected in their songs. By analyzing the lyrics of over 1,200 songs over three decades, this work applies sentiment analysis to extract polarities and emotions. The results provide insights into how musicians view and reflect the impact of artificial intelligence on society and how this is reflected in their song texts. The findings show an increase in songs mentioning artificial intelligence-related terms, with a trend of more songs implying negativity, such as anger. However, minor increases in positive emotions indicate musicians' ambivalent views on hopes and fear of artificial intelligence.

The financial sector is undergoing a massive transformation, with new technology-driven players challenging established mechanisms and transforming the sector into a fast-moving market. With the gradual transition from a scale economy to a platform-driven network economy, enterprise networks are gaining strategic importance. Despite the growing interest in fintech’s, research has so far lacked a conceptualization of value creation in fintech ecosystems. Therefore, this research paper aims to analyze key players, value creation activities, and value streams based on the analysis of the business models of payment services, personal financial management, robo-advisory, peer-to-peer lending, trading, and cryptocurrency. We present a holistic value network for the fintech ecosystem based on structured literature review and analysis of 171 fintech companies. We were able to show that fintech platform orchestrates multiple market sides and that customers take four distinct roles at the center of the ecosystem when using fintech services.

Increasing digitization and the associated tremendous usage of technology have led to data of unprecedented quantity, variety, and speed, which is generated, processed, and required in almost all areas of industry and life. The value creation and capturing from data presents companies with numerous challenges, as they must create or adapt appropriate structures and processes. As a link between corporate strategy and business processes, business models are a suitable instrument for meeting these challenges. However, few research has been conducted focusing on data-based monetization in the context of data-driven business models so far. Based on a systematic literature review the paper identifies five key components and 23 characteristics of data-driven business models having crucial influence on data-based value creation and value capturing and thus on monetization. The components represent key factors for achieving commercial benefits from data and serve as guidance for exploring and designing suitable data-driven business models.

The spread of the Internet of Things offers companies the potential to exert a disruptive influence on existing market structures and entire domains. The shift from product to service orientation and the integration of the customer as a value co-creator makes the identification and development of value-adding, IoT-based offerings a central challenge. As a link between strategy and business processes, business models are a suitable tool to meet this challenge. However, present business models lack of consideration of IoT specific characteristics. Against this background we provide a taxonomy for the description of IoT-based business models based on systematic literature research. Furthermore, the taxonomy is applied to 103 business models, demonstrating its usefulness. We also provide insights into the design of business models within two domains. The taxonomy provides a tool for investigating busi-ness models, especially how IoT can be incorporated into them and also a conceptual basis for future research.

Food has been a fundamental human need since the beginning of time. Agriculture, as the central foundation of global food production, is increasingly coming under pressure from the growing world population. Even today, it ́s no longer possible to guarantee sufficient food security in the long term and 10% of humanity goes to bed hungry every night. Given the expected increase in the world’s population based on today’s figures and an associated more than 70% necessary increase in food sector production, the question arises whether this is feasible using classical methods and approaches. The use of modern information and communication technology alone is certainly not a panacea. Despite all this, technologies, such as the Internet of Things, show great potential for the development of more productive and cost-effective but, above all, more sustainable agriculture. However, developing such a solution requires more than a purely technical point of view. Only by creating a holistic information technology solution that takes not only a technological but also a plant, animal, human and therefore holistic perspective can real progress be made. Against this background, this paper represents the publication of a generic information system architecture based on a systematic literature-driven explorative analysis of the domain.

The Internet of Things and associated smart products are finding application in evermore domains. Within agriculture it is described under the term smart farming. Using smart products allows farmers to automatically record relevant information, monitor operating procedures or remotely control machines. To make these capabilities usable for added value, not only smart products but entire information systems that align to the domain and its requirements are necessary. Within the literature, various architectures can be found already. However, many lack a methodical foundation or an abstraction of application cases and technology. Against this background, the article presents an information system architecture independent of application cases or technology and oriented toward the domain of smart farming. Starting point of the development is a systematic literature review, based on Webster and Watson in combination with Vom Brocke, based on 18 existing architecture approaches that are analyzed and aggregated.

Self-tracking solutions have become globally widespread, as they promise numerous advantages (e.g. improving health) to their users. Despite their benefits, such solutions are often abandoned due to quality issues. This phenomenon can also be observed for digitized products in general. As self-tracking solutions are hybrid products, combining digital and physical components, traditional domain-independent and abstract quality models like the prominent ISO 25000 standard seem to not cover quality in an appropriate way. We address these issues by answering the research question of which factors affect quality perceptions of different stakeholder groups when interacting in a wearable ecosystem. We use a systematic literature review based on a research protocol to identify and analyze 98 quality-influencing factors from 19 studies that we cluster in a map. The identified factors are compared to the ISO 25000 standard, showing that certain factors like hedonic motivation are unconsidered thoroughly in the existing standard.

Architecting is a communication intensive task in which architectural
knowledge is shared between the architect and the stakeholders. The software
architect’s communicative action is often conducted face-to-face, e.g. in presentations
and workshops. A software architecture documentation as a carrier of
explicit architectural knowledge can also be seen as an architect’s communicative
action. This perspective opens the door for treating a software architecture
documentation as an expression of an asynchronous knowledge communication
process enabling the application of principles from communication theory. In
this paper this perspective is taken and specific requirements are derived for
software architecture knowledge management tools with respect to the contextoriented
communication model.

Architecting is a communication intensive task in which architectural
knowledge is shared between the architect and the stakeholders. The software
architect’s communicative action is often conducted face-to-face, e.g. in presentations
and workshops. A software architecture documentation as a carrier of
explicit architectural knowledge can also be seen as an architect’s communicative
action. This perspective opens the door for treating a software architecture
documentation as an expression of an asynchronous knowledge communication
process enabling the application of principles from communication theory. In
this paper this perspective is taken and specific requirements are derived for
software architecture knowledge management tools with respect to the contextoriented
communication model.

This paper discusses the combination of context injection, metadata enrichment and information broking with current semantic web and community oriented concepts in order to optimize the search and retrieval process of relevant information. The presented approach focuses the shift from information pull to information push, and thus reduces the effort on finding the needed information for a specific issue in a concrete context.

This paper discusses the combination of context injection, metadata enrichment and information broking with current semantic web and community oriented concepts in order to optimize the search and retrieval process of relevant information. The presented approach focuses the shift from information pull to information push, and thus reduces the effort on finding the needed information for a specific issue in a concrete context.

This paper presents an approach called Generic View Concept which facilitates the creation and visualization of role-based, task-oriented views on service-oriented architectures. Those views enhance the understanding from the technical and functional point of view, and thus reduce the inherent complexity arising during the creation, use and maintenance of service-oriented architectures. The unique aspect of the Generic View Concept is that it does not constrain stakeholders to a set of predefined views. In order to examine the usefulness of Generic Views in real world scenarios, a prototype has been implemented applying 3D visualization techniques.

This paper presents an approach called Generic View Concept which facilitates the creation and visualization of role-based, task-oriented views on service-oriented architectures. Those views enhance the understanding from the technical and functional point of view, and thus reduce the inherent complexity arising during the creation, use and maintenance of service-oriented architectures. The unique aspect of the Generic View Concept is that it does not constrain stakeholders to a set of predefined views. In order to examine the usefulness of Generic Views in real world scenarios, a prototype has been implemented applying 3D visualization techniques.

Business process management (BPM) is an approach which empowers companies to react flexibly to new market situations. The main goal of BPM is to improve efficiency and effectiveness of value-adding business processes. The changes caused by globalization do not only concern organization, technologies and processes, but also people. Employee competencies can be crucial competitive advantages.
The need for new specialized and competent personnel in BPM becomes apparent from the definition of new roles, such as “Chief Process Officer” (CPO). Field reports and surveys reveal that role concepts of BPM have so far not been completely established, due to a lack of appropriate structures or dueto resistance within the companies.
This article considers and analyzes the success factor employee competencies in matters of the implementation of BPM in companies. For this purpose, competencies which are necessary for the roles in BPM are identified.  Moreover, a classification method for the definition of role profiles is developed.

Business process management (BPM) is an approach which empowers companies to react flexibly to new market situations. The main goal of BPM is to improve efficiency and effectiveness of value-adding business processes. The changes caused by globalization do not only concern organization, technologies and processes, but also people. Employee competencies can be crucial competitive advantages.
The need for new specialized and competent personnel in BPM becomes apparent from the definition of new roles, such as “Chief Process Officer” (CPO). Field reports and surveys reveal that role concepts of BPM have so far not been completely established, due to a lack of appropriate structures or dueto resistance within the companies.
This article considers and analyzes the success factor employee competencies in matters of the implementation of BPM in companies. For this purpose, competencies which are necessary for the roles in BPM are identified.  Moreover, a classification method for the definition of role profiles is developed.