A5080874073- Corporate Governance and Management
- Customer Service Quality and Loyalty
- Business Strategy and Innovation
- Digital Innovation in Industries
- Quality and Supply Management
- Consumer Behavior in Brand Consumption and Identification
- Formal Methods in Verification
- Service and Product Innovation
- Model-Driven Software Engineering Techniques
- Securities Regulation and Market Practices
- Innovation and Knowledge Management
- Multimodal Machine Learning Applications
- Domain Adaptation and Few-Shot Learning
- Consumer Retail Behavior Studies
- Corporate Identity and Reputation
- Logic, programming, and type systems
- Advanced Software Engineering Methodologies
- Digital Platforms and Economics
- Public Administration and Political Analysis
- Flexible and Reconfigurable Manufacturing Systems
- COVID-19 diagnosis using AI
- Civil and Structural Engineering Research
- Real-Time Systems Scheduling
- Corporate Management and Leadership
- Ultrasonics and Acoustic Wave Propagation
Johannes Kepler University of Linz
2024
Friedrich-Alexander-Universität Erlangen-Nürnberg
2009-2023
University of Eastern Finland
2015-2023
University of California, Santa Barbara
2023
Finland University
2017-2020
ETH Zurich
2009-2016
École Polytechnique Fédérale de Lausanne
2011
University of Mannheim
2005-2010
This article addresses how an organization's complaint management affects customer justice evaluations and, in turn, satisfaction and loyalty. In delineating management, the authors draw a distinction between two fundamental approaches, mechanistic approach (based on establishing guidelines) organic creating favorable internal environment). The empirical analysis is based dyadic data set that contains managerial assessments of companies’ complaining customers’ with respect to perceived...
Masked Image Modeling (MIM) methods, like Autoencoders (MAE), efficiently learn a rich representation of the input. However, for adapting to downstream tasks, they require sufficient amount labeled data since their features code not only objects but also less relevant image background. In contrast, Instance Discrimination (ID) methods focus on objects. this work, we study how combine efficiency and scalability MIM with ability ID perform classification in absence large amounts data. To end,...
This article examines whether and how a company's division of segment- task-related responsibilities among multiple sales channels affects the relationships in multichannel (MC) system and, ultimately, success. Building on open systems theory, authors develop an overarching framework organizational MC differentiation that distinguishes between two generic approaches: segment task differentiation. They predict these approaches affect key relationship performance outcomes system, but do so...
Abstract Recent technological advancements allow companies to incorporate increasingly heterogeneous and interrelated features into their products, which heightens the products’ complexity. In four experimental studies conducted with two product categories, this article reveals similarities differences in terms of how heterogeneity interrelatedness influence consumer attitudes (i.e., expected usability capability) and, turn, purchase intentions. Moreover, it shows that both neglected...
CLIP yielded impressive results on zero-shot transfer learning tasks and is considered as a foundation model like BERT or GPT3. vision models that have rich representation are pre-trained using the InfoNCE objective natural language supervision before they fine-tuned particular tasks. Though excels at learning, it suffers from an explaining away problem, is, focuses one few features, while neglecting other relevant features. This problem caused by insufficiently extracting covariance...
Generative models are spearheading recent progress in deep learning, showing strong promise for trajectory sampling dynamical systems as well. However, while latent space modeling paradigms have transformed image and video generation, similar approaches more difficult most systems. Such -- from chemical molecule structures to collective human behavior described by interactions of entities, making them inherently linked connectivity patterns the traceability entities over time. Our approach,...
Purpose Companies must understand consumer responses to AI-provided services ensure their effectiveness. This is especially important for critical moments of truth, such as service recovery situations. In this article, we examine preferences AI versus human depending on the situation: (1) locus failure (customer vs company failure); (2) type symbolic (explanation apology); and (3) utilitarian (monetary functional redress). Design/methodology/approach Three experimental studies were conducted...
Abstract Although marketing activities are vital for new ventures (NVs) to ensure growth and survival, previous research is silent on how organize them in firms’ infancy. The entrepreneurship literature focuses which perform NVs but not these activities, whereas the concentrates established firms NVs, face specific opportunities challenges their early stage of development. This article aims tackle this gap by examining marketing’s role within NVs’ organization. Drawing in-depth interviews...
Event-B has given developers the opportunity to construct models of complex systems which are correct by construction. However, there is no systematic approach, especially in terms reusing, could help with construction these models. We introduce notion design patterns within framework shorten this gap. Our approach preserves correctness critical formal methods and also reduces proving effort. Within our an pattern just another model devoted formalisation a typical sub-problem. As result, we...
The conventional view of the value‐creation chain suggests offering high‐value propositions at product level (in terms benefits provided by elements product) to attain perceptions customer level, which should ultimately result in appropriation firm (i.e. relationship, volume, pricing and financial success). This study challenges this provides a differentiated understanding chain. With multi‐industry sample 339 companies 626 customers validate managerial assessments, authors apply...
Deep neural network based surrogates for partial differential equations have recently gained increased interest. However, akin to their numerical counterparts, different techniques are used across applications, even if the underlying dynamics of systems similar. A prominent example is Lagrangian and Eulerian specification in computational fluid dynamics, posing a challenge networks effectively model particle- as opposed grid-based dynamics. We introduce Universal Physics Transformers (UPTs),...
Marketing ZFP is a platform for the academic dialog between marketing science and practice. It offers critical depictions of newest developments in central areas Thereby, dedicates itself particularly to transfer methodological knowledge into
Abstract Each year, companies invest billions of dollars into marketing activities to embellish brands as valuable relationship partners assuming that consumer brand relationships (CBRs) and interpersonal rest upon the same neurobiological underpinnings. Given crucial role neuropeptide oxytocin (OXT) in social bonding, this study tests whether OXT-based mechanisms also determine bond between consumers brands. We conducted a randomized, placebo-controlled involving 101 subjects analyzed...