Daniel Baier
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View article: Beyond sentiment analysis of online customer reviews: an approach to automated measurement of technology acceptance from online customer reviews
Beyond sentiment analysis of online customer reviews: an approach to automated measurement of technology acceptance from online customer reviews Open
Recent developments in machine learning (ML), especially transformer-based discriminative and generative deep learning, transform the marketing landscape. So, e.g., marketers predict with high accuracy sentiment scores from online customer…
View article: Profit uplift modeling for direct marketing campaigns: approaches and applications for online shops
Profit uplift modeling for direct marketing campaigns: approaches and applications for online shops Open
In order to select “best” customers for a direct marketing campaign, response models are widespread: a sample of customers receives an ad, a catalog, a sample pack, or a discount offer on a test basis. Then, their responses (e.g., website …
View article: New insights in online fashion retail returns from a customers’ perspective and their dynamics
New insights in online fashion retail returns from a customers’ perspective and their dynamics Open
Returns are an inconvenient problem in the mail-order business, not only for the merchant but also for the customer. With an estimated return rate of 50% in the fashion sector, the seller has to deal with the expense of restocking and poss…
View article: The Drivers of Sustainable Apparel and Sportswear Consumption: A Segmented Kano Perspective
The Drivers of Sustainable Apparel and Sportswear Consumption: A Segmented Kano Perspective Open
The steady increase of sustainable consumer behavior leads companies to strengthen their efforts to become socially and ecologically more sustainable. Particularly in the clothing and footwear industry, more and more companies are aware of…
View article: Investigating Machine Learning Techniques for Solving Product-line Optimization Problems
Investigating Machine Learning Techniques for Solving Product-line Optimization Problems Open
Product-line optimization using consumers’ preferences measured by conjoint analysis is an important issue to marketing researchers. Since it is a combinatorial NP-hard optimization problem, several meta-heuristics have been proposed to en…
View article: UGA or TAM: Which Approach Explains Digital Voice Assistant Acceptance Better?
UGA or TAM: Which Approach Explains Digital Voice Assistant Acceptance Better? Open
Digital voice assistants (DVAs) have the potential to radically change the communication between companies and their customers in the near future. However, despite enormous cost and convenience reduction advantages for both sides, their ac…
View article: Adaptive CBC: Are the Benefits Justifying its Additional Efforts Compared to CBC?
Adaptive CBC: Are the Benefits Justifying its Additional Efforts Compared to CBC? Open
Currently, there is a big discussion ongoing among both practitioners and scientists whether the benefits of the Adaptive Choice-Based Conjoint (ACBC) analysis in comparison to (standard) Choice-Based Conjoint (CBC) analysis are justifying…
View article: Churn Analysis Using Deep Learning: Customer Classification from a Practical Point of View
Churn Analysis Using Deep Learning: Customer Classification from a Practical Point of View Open
The business relevance of customer churn analysis is increasing due to the growing availability of corresponding data and intensifying competition. Here, especially the predictive accuracy of modeling approaches is in the focus of research…
View article: How to Construct an Ideal Collaboration Tool for Coworking Spaces: An SP-CBC Application
How to Construct an Ideal Collaboration Tool for Coworking Spaces: An SP-CBC Application Open
Coworking spaces both require and foster communication and collaboration among members and providers’ staff as well as between members and providers. A variety of tools, denominated Workstream Collaboration software, seeks to fulfill this …
View article: Siri, Do I like You? Digital Voice Assistants and Their Acceptance by Consumers
Siri, Do I like You? Digital Voice Assistants and Their Acceptance by Consumers Open
Nowadays, digital voice assistants (DVAs) such as Amazon’s Alexa, Google’s Assistant, or Apple’s Siri provide speech-oriented human-computer interfaces that have the potential to make consumers’ interaction with other consumers, firms, or …
View article: Report on the First Working Group Meeting of the “AG Marketing”
Report on the First Working Group Meeting of the “AG Marketing” Open
This contribution reports on the first meeting of the new formed working group “Data Analysis and Classification in Marketing (AG Marketing)” of the data science society (GfKl) held at the KIT, Karlsruhe, November 14th – 15th, 2019. The ab…
View article: Success Factors for Recommender Systems From a Customers’ Perspective
Success Factors for Recommender Systems From a Customers’ Perspective Open
Recommender systems have become an integral part of today’s ecommerce landscape and are no longer only deployed on websites but also increasingly serve as a basis for the delivery of personalized product recommendations in various communic…
View article: Conversational User Interfaces for Online Shops? : A Categorization of Use Cases
Conversational User Interfaces for Online Shops? : A Categorization of Use Cases Open
How do conversational user interfaces for online shops via messaging services and voice assistants influence customers⢠satisfaction? Which use cases are attractive from a customerâ¢s view point? Which uses cases are must-be and for whi…
View article: Applying the Repertory Grid Method for Technology Forecasting: Civil Unmanned Aviation Systems for Germany
Applying the Repertory Grid Method for Technology Forecasting: Civil Unmanned Aviation Systems for Germany Open
Multistage expert surveys like the Delphi method are proven concepts for technology forecasting that enable the prediction of content-related and temporal development in fields of innovation (e.g., [1, 2]). Advantages of these qualitative …
View article: The Effects of Locational Factors on the Performance of Innovation Networks in the German Energy Sector
The Effects of Locational Factors on the Performance of Innovation Networks in the German Energy Sector Open
Locational factors, like the quantity and quality of skilled labour, demanding customers, competitors, supporting industries, and research institutions, are assumed to have an influence on the competitiveness of a region and the performanc…
View article: TCA/HB Compared to CBC/HB for Predicting Choices Among Multi-Attributed Products
TCA/HB Compared to CBC/HB for Predicting Choices Among Multi-Attributed Products Open
For some years, choice-based conjoint analysis (CBC) has demonstrated its superiority over other preference measurement alternatives. So, e.g., in a recent study on German and Polish cola consumers, the superiority of CBC over traditional …