A5053984864- Consumer Market Behavior and Pricing
- Digital Platforms and Economics
- Digital Marketing and Social Media
- Auction Theory and Applications
- Technology Adoption and User Behaviour
- Big Data and Business Intelligence
- Privacy, Security, and Data Protection
- Digital Innovation in Industries
- Social Media and Politics
- Impact of Technology on Adolescents
- Stock Market Forecasting Methods
- Consumer Retail Behavior Studies
- Digitalization, Law, and Regulation
- Corporate Governance and Management
- Complex Network Analysis Techniques
- Customer churn and segmentation
- Explainable Artificial Intelligence (XAI)
- Innovation Diffusion and Forecasting
- Blockchain Technology Applications and Security
- Ethics and Social Impacts of AI
- Cybercrime and Law Enforcement Studies
- Recommender Systems and Techniques
- Distributed and Parallel Computing Systems
- Experimental Behavioral Economics Studies
- Information and Cyber Security
Goethe University Frankfurt
2016-2025
Technical University of Darmstadt
2011-2022
University of Bremen
2022
Community Research and Development Information Service
2022
Springer Nature (Germany)
2022
Hesse (Germany)
2022
Ludwig-Maximilians-Universität München
2021
Robert Bosch (India)
2021
Universidad de la República
2019
University of Passau
2016
Seeding strategies have strong influences on the success of viral marketing campaigns, but previous studies using computer simulations and analytical models produced conflicting recommendations about optimal seeding strategy. This study compares four in two complementary small-scale field experiments, as well one real-life campaign involving more than 200,000 customers a mobile phone service provider. The empirical results show that best can be up to eight times successful other strategies....
The emergence of Large Language Models (LLMs) in combination with easy-to-use interfaces such as ChatGPT, Bing Chat, and Google's Bard represent both a Herculean task sublime opportunity for Business Information Systems Engineering.The technology its applications already have considerable impact many domains directly related to the design, operation, application information systems.In this editorial, we seek explore new reality researchers, practitioners, legislators will -in some form or...
Abstract Digitalization and technologization affect numerous domains, promising advantages but also entailing risks. Hence, when decision-makers in highly-regulated domains like Finance implement these technological advances—especially Artificial Intelligence—regulators prescribe high levels of transparency, assuring the traceability decisions for third parties. Explainable Intelligence (XAI) is tremendous importance this context. We provide an overview current research on XAI with a...
The recent COVID-19 pandemic represents an unprecedented worldwide event to study the influence of related news on financial markets, especially during early stage when information new threat came rapidly and was complex for investors process. In this paper, we investigate whether flow had impact forming market expectations. We analyze 203,886 online articles dealing with published three platforms (MarketWatch.com, NYTimes.com, Reuters.com) in period from January June 2020. Using machine...
Although future regulations increasingly advocate that AI applications must be interpretable by users, we know little about how such explainability can affect human information processing. By conducting two experimental studies, help to fill this gap. We show explanations pave the way for systems reshape users' understanding of world around them. Specifically, state-of-the-art methods evoke mental model adjustments are subject confirmation bias, allowing misconceptions and errors persist...
Abstract With the growing proliferation of smart home assistants (SHAs), digital services are increasingly pervading people's private households. Through their intrusive features, SHAs threaten to not only increase individual users' strain but also impair social relationships at home. However, while previous research has predominantly focused on technology features' detrimental effects employee work, there is still a lack understanding adverse devices individuals and relations In addition,...
Purpose – Although the health information seeking behavior of consumers through internet has received great attention, limited attempt been made to integrate both and usage in a mobile online context. The purpose this paper is explore factors that influence consumer (MHIS) based on quality, perceived value, personal trust. Design/methodology/approach A survey was conducted collect data. two-step approach structure equation modeling used test measurement model hypothesis model. Findings...
Abstract Nowadays, artificial intelligence (AI) systems make predictions in numerous high stakes domains, including credit-risk assessment and medical diagnostics. Consequently, AI increasingly affect humans, yet many state-of-the-art lack transparency thus, deny the individual’s “right to explanation”. As a remedy, researchers practitioners have developed explainable AI, which provides reasoning on how infer individual predictions. However, with recent legal initiatives demanding...
To leverage the complementary strengths of humans and artificial intelligence (AI) in online service encounters, firms have begun to use hybrid agents: combinations AI agents (e.g., chatbots) human employees) behind a single interface. However, it is unclear whether should be transparent about behind-the-scenes employees working tandem with an AI-based chatbot serve customers. Against this backdrop, we investigated impact involvement disclosure on customer interactions agents. Our findings...
The interactive nature of the Internet promotes collaborative business models (e.g., auctions) and facilitates information-sharing via social networks. In auctions, an important design option for sellers is setting a secret reserve price that has to be met by buyer's bid successful purchase. Bidders have strong incentives learn more about in these thereby relying on their own network friends or digital networks users with similar interests information needs. Information-sharing flow...
The Internet makes it easy to offer large assortments of products, tempting managers chase the "long tail"—that is, phenomenon in which niche products gain a significant share demand among all products. Yet few studies empirically examine existence and drivers this long tail phenomenon. This study uses unique data set with 843,922 purchases from 143,939 customers that monopolistic video-on-demand operator observed over 111 weeks after its launch service. current analysis centers on effects...
The proliferation of the Internet has enabled platform intermediaries to create two-sided markets in many industries. Time-series data on number customers both sides allow for estimating direction and magnitude network effects, which can then support growth predictions subsequent information technology (IT) or marketing investment decisions. This article investigates conditions under this estimation same-side cross-side effects should distinguish between its impact new (i.e., acquisition)...