Prof. Dr. Daniel Klapper
Profil
Forschungsthemen6
5. Workshop zum Thema "Marketing Metrics, Risk and Performance Modeling" 2013
Quelle ↗Zeitraum: 03/2013 - 12/2013 Projektleitung: Prof. Dr. Daniel Klapper
Jahrestagung 2013 der Forschungsgruppe Konsum & Verhalten
Quelle ↗Zeitraum: 02/2013 - 03/2014 Projektleitung: Prof. Dr. Daniel Klapper
Ökonomische Risiken, Konsumentenheterogenität und die Bewertung von Preis- und Produktstrategien"
Quelle ↗Förderer: DFG Sachbeihilfe Zeitraum: 09/2013 - 08/2016 Projektleitung: Prof. Dr. Daniel Klapper
SFB/TRR 190/1: Konsumentenentscheidungen für langlebige Gebrauchsgüter (TP A05)
Quelle ↗Förderer: DFG Sonderforschungsbereich Zeitraum: 01/2017 - 12/2020 Projektleitung: Prof. Dr. Daniel Klapper
SFB/TRR 190/2: Transparenz und Produktwahl in digitalen Umgebungen (TP A05)
Quelle ↗Förderer: DFG Sonderforschungsbereich Zeitraum: 01/2021 - 12/2024 Projektleitung: Prof. Dr. Daniel Klapper
SFB/TRR 190/3: Transparenz und Produktwahl in digitalen Umgebungen (TP A05)
Quelle ↗Förderer: DFG Sonderforschungsbereich Zeitraum: 01/2025 - 12/2028 Projektleitung: Prof. Dr. Daniel Klapper
Mögliche Industrie-Partner10
Stand: 26.4.2026, 19:48:44 (Top-K=20, Min-Cosine=0.4)
- 29 Treffer59.4%
- Workshop Reliable Methods and Mathematical ModelingT59.4%
- Workshop Reliable Methods and Mathematical Modeling
- 32 Treffer57.5%
- Modellierung und Transfer von Inhalts- und Qualitätskriterien für die Programmplanung in der finanziellen Bildung im ErwachsenenalterP57.5%
- Modellierung und Transfer von Inhalts- und Qualitätskriterien für die Programmplanung in der finanziellen Bildung im Erwachsenenalter
- 31 Treffer57.5%
- Modellierung und Transfer von Inhalts- und Qualitätskriterien für die Programmplanung in der finanziellen Bildung im ErwachsenenalterP57.5%
- Modellierung und Transfer von Inhalts- und Qualitätskriterien für die Programmplanung in der finanziellen Bildung im Erwachsenenalter
- Modellierung und Transfer von Inhalts- und Qualitätskriterien für die Programmplanung in der finanziellen Bildung im ErwachsenenalterP57.5%
- Modellierung und Transfer von Inhalts- und Qualitätskriterien für die Programmplanung in der finanziellen Bildung im Erwachsenenalter
- Modellierung und Transfer von Inhalts- und Qualitätskriterien für die Programmplanung in der finanziellen Bildung im ErwachsenenalterP57.5%
- Modellierung und Transfer von Inhalts- und Qualitätskriterien für die Programmplanung in der finanziellen Bildung im Erwachsenenalter
- 17 Treffer57.3%
- INTeractive RObotics Research NetworkP57.3%
- INTeractive RObotics Research Network
- 17 Treffer57.3%
- INTeractive RObotics Research NetworkP57.3%
- INTeractive RObotics Research Network
- 8 Treffer57.2%
- Systematic Models for Biological Systems Engineering Training NetworkP57.2%
- Systematic Models for Biological Systems Engineering Training Network
Protatuans-Etaireia Ereynas Viotechologias Monoprosopi Etaireia Periorisments Eythinis
PT7 Treffer57.2%- Systematic Models for Biological Systems Engineering Training NetworkP57.2%
- Systematic Models for Biological Systems Engineering Training Network
- 8 Treffer57.2%
- Systematic Models for Biological Systems Engineering Training NetworkP57.2%
- Systematic Models for Biological Systems Engineering Training Network
Publikationen25
Top 25 nach Zitationen — Quelle: OpenAlex (BAAI/bge-m3 embedded für Matching).
The Review of Economics and Statistics · 105 Zitationen · DOI
How a cost shock is passed through to final consumer prices may relate to nominal price stickiness and rigidities, the existence of nonadjustable cost components, strategic markup adjustments, or other contract terms along the supply distribution chain. This paper presents a simple framework to assess the potential role of nonlinear pricing contracts and vertical restraints, such as resale price maintenance or wholesale price discrimination in the supply chain, in explaining the degree of pass-through from upstream cost shocks in the ground coffee category to downstream retail prices. We find that resale price maintenance increases pass-through rate.
Journal of Marketing Research · 92 Zitationen · DOI
The authors show how to use microlevel survey data from a tracking study on brand awareness in conjunction with data on sales and advertising expenditures to improve the specification, estimation, and interpretation of aggregate discrete choice models of demand. In a departure from the commonly made full information assumption, they incorporate limited information in the form of choice sets to reflect that consumers may not be aware of all available brands at purchase time. They find that both the estimated brand constants and the price coefficient are biased downward when consumer heterogeneity in choice sets is ignored. These biased estimates can lead firms to make costly price-setting mistakes. In addition, the tracking data enable the authors to identify separately two processes by which advertising influences market shares. They find that advertising has a direct effect on brand awareness (inclusion in choice set) in addition to its effect on consumer preferences (increase in utility). This improved understanding of how advertising works enhances researchers’ ability to make policy recommendations.
Journal of the Academy of Marketing Science · 90 Zitationen · DOI
IEEE Transactions on Power Systems · 84 Zitationen · DOI
A new program, EXSTAB (extended time-scale stability) has been developed for representing a wide variety of power system performance problems, from transient stability through long-term dynamics and voltage instability. The capability of the program includes multiple execution modes and automatic step size selection to address conflicting goals of accuracy and efficiency. The modeling includes a broad range of apparatus to provide the needed time-scale representation (four orders of magnitude). Models for automatic generation control, plant characteristics and control, voltage and reactive power control, static and dynamic loads, and protective relaying for apparatus and system connections are provided. Technologies were developed to perform analysis of voltage stability and prediction of peak power transfer to avoid voltage collapse.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Another look at loss aversion in brand choice data: Can we characterize the loss averse consumer?
2005International Journal of Research in Marketing · 75 Zitationen · DOI
Quantitative Marketing and Economics · 70 Zitationen · DOI
Super Bowl Ads
2017Marketing Science · 69 Zitationen · DOI
We explore the effects of television advertising in the setting of the National Football League’s Super Bowl telecast. The Super Bowl is well suited for evaluating advertising because viewers pay attention to the ads, more than 40% of households watch the game, and variation in ad exposures is exogenous because a brand cannot choose how many impressions it receives in each market. Viewership is primarily determined based on local preferences for watching the two competing teams. We combine Super Bowl ratings data with weekly sales data in the beer and soda categories to document three primary findings about advertising. First, the relationship between Super Bowl viewership and sales in the week leading up to the game reveals the brands customers buy to consume during the game. We find some brands are consumed while watching the game while others are not, but this is unrelated to whether a brand ever advertised during the Super Bowl or advertises in a specific year. This rejects the theory that advertising works by serving as a complement to brand consumption. Second, we find that post–Super Bowl sales effects of ad viewership are concentrated in weeks with subsequent sporting events. This suggests Super Bowl advertising builds a complementarity between the brand and sports viewership more broadly. Finally, we collect data on National Collegiate Athletic Association basketball tournament viewership to test this theory and find that the complementarity between a brand’s sales and viewership of the tournament is enhanced by Super Bowl ad viewership. Together, these findings identify advertising as a determinant of why some brands outperform others for particular consumption occasions such as sports viewership. Data are available at https://doi.org/10.1287/mksc.2017.1055 .
Journal of Marketing Research · 60 Zitationen · DOI
The authors propose a new, exploratory approach for analyzing market structures that leverages two recent methodological advances in natural language processing and machine learning. They customize a neural network language model to derive latent product attributes by analyzing the co-occurrences of products in shopping baskets. Applying dimensionality reduction to the latent attributes yields a two-dimensional product map. This method is well-suited to retailers because it relies on data that are readily available from their checkout systems and facilitates their analyses of cross-category product complementarity, in addition to within-category substitution. The approach has high usability because it is automated, is scalable and does not require a priori assumptions. Its results are easy to interpret and update as new market basket data are collected. The authors validate their approach both by conducting an extensive simulation study and by comparing their results with those of state-of-the-art, econometric methods for modeling product relationships. The application of this approach using data collected at a leading German grocery retailer underlines its usefulness and provides novel findings that are relevant to assortment-related decisions.
Marketing Science · 57 Zitationen · DOI
International Journal of Electronic Commerce · 43 Zitationen · DOI
Search engine advertising has become a multibillion-dollar business and one of the dominant forms of advertising on the Internet. This study examines the effectiveness of search engine advertising within a multimedia campaign, with explicit consideration of the interaction effects between search engine advertising and television and banner advertising. An advertising tracking study with about 300 respondents interviewed before and about 4,700 respondents interviewed after the advertising campaign examines the effects on four consumer metrics: advertising awareness, brand awareness, brand image, and brand consumption. We estimate advertising effectiveness and control for correlations across the four ordinal response metrics using a multivariate ordered probit model. The results show that search engine advertising has significant effects on several consumer metrics, even among consumers who do not click on the sponsored advertisement. Television advertising also affects the consumer metrics. However, a negative interaction effect emerges between search engine advertising and television advertising. Banner advertising exerts a positive impact, but only in combination with television advertising. These substantial interaction effects indicate that firms must consider the investments in various media channels simultaneously when they design multimedia campaigns.
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 36 Zitationen · DOI
In non-contractual freemium and sharing economy settings, a small share of users often drives the largest part of revenue for firms and co-finances the free provision of the product or service to a large number of users. Successfully retaining and upselling such high-value users can be crucial to firms' survival. Predictions of customers' Lifetime Value (LTV) are a much used tool to identify high-value users and inform marketing initiatives. This paper frames the related prediction problem and applies a number of common machine learning methods for the prediction of individual-level LTV. As only a small subset of users ever makes a purchase, data are highly imbalanced. The study therefore combines said methods with synthetic minority oversampling (SMOTE) in an attempt to achieve better prediction performance. Results indicate that data augmentation with SMOTE improves prediction performance for premium and high-value users, especially when used in combination with deep neural networks.
Journal of Retailing · 34 Zitationen · DOI
IEEE Computer Applications in Power · 27 Zitationen · DOI
The application of the Extended Time Scale Stability Analysis program (EXSTAB) is illustrated. The program was developed for the numerical simulation of power system phenomena spanning time periods from several seconds to several hours and involving slow events, such as load cycles, as well as fast transients, such as line trips. The integration algorithm in this problem automatically reduces the time step of integration to capture fast transients and gradually increases it as the transients decay. The algorithm is based on the simultaneous solution of the differential and algebraic equations describing a power system, using a numerically stable, implicit, low-order integrator similar to the trapezoidal rule. Recognizing that the simulation of severe transients over periods of time of a few seconds is handled more efficiently using explicit methods with fixed time steps, the program automatically switches to an explicit integrator following the occurrence of a severe disturbance. The program automatically returns to an implicit mode once the severe transient is over.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
SSRN Electronic Journal · 26 Zitationen · DOI
IEEE Transactions on Power Systems · 22 Zitationen · DOI
Expert system concepts are developed for use with power system stability studies, and proof of the concepts is provided in a prototype computer program. An analysis of the transient stability problem-solving process indicates that it is an iterative design procedure. Portions of this procedure are analogous to a closed-loop feedback control system. Expert system procedures are used to provide the user with guidance in conducting stability studies and with the formation of conclusions.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Journal of Marketing Research · 20 Zitationen · DOI
Managers are unlikely to keep current with advanced developments in market-response analysis, and technical analysts often lack the marketplace knowledge of the many product categories they must track through syndicated data; this is a recipe for bad decisions. The authors present methods based on three-mode factor analysis and multivariate regression that can help both analysts and managers make better decisions regarding whether UPCs should be aggregated into brand units and, if so, how should the aggregation be done; which marketing instruments to track; and how to disentangle correlated promotional strategies. The practicality of this approach is demonstrated by an application to UPC-level data (25 UPCs, seven marketing instruments, and 156 weeks). In this example, to aggregate UPCs within a manufacturer into brand units would distort the relations between the marketing instruments and market responses. A multivariate regression from the competitive-component scores provides a methodologically sound and practical method for calibrating market response in such cases.
IEEE Transactions on Power Systems · 18 Zitationen · DOI
A system-wide dynamic controller is designed to improve power system damping. Multivariable control techniques, involving many machines and associated measurements and controls, are applied on a large-scale system with realistic dynamics. An iterative design method with multiple tasks is presented. It uses eigenvector-based dynamic reduction, suboptimal state space control design, reconstitution of design to full system representation, and verification. The resulting hierarchical controller is shown, with time simulations and eigenvalues, to stabilize the system for heavy power transfer without adverse side effects.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Forecasting market share using predicted values of competitive behavior: further empirical results
2000International Journal of Forecasting · 17 Zitationen · DOI
International Journal of Research in Marketing · 15 Zitationen · DOI
International Conference on Information Systems · 14 Zitationen
International Journal of Research in Marketing · 13 Zitationen · DOI
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment · 10 Zitationen · DOI
Social Gaming is a pervasive phenomenon, driven by the advent of social networks and the digitization of game dis-tribution. This paper positions and defines Casual Social Games (CSGs) as a genre and platform agnostic subset of Social Games that incorporates browser, mobile, console and wearable digital games. The authors argue that – as CSGs impact the games industry, shape play patterns and audience characteristics, and proliferate to new platforms – understanding and measuring their social aspect becomes highly relevant. A randomized experiment on added social gameplay in a CSG on both mobile and Facebook serves to support this argument. Experimental results highlight that social gameplay is extremely important for engagement and monetization in casual games, even more so on mobile plat-forms. This does not only suggest that CSG developers will benefit from focusing on increased social interaction in their games, but that Game Analytics should strive to unify defi-nitions and build a common body of knowledge around the social aspect of casual gaming.
Wirtschaftswissenschaftliche Beiträge · 9 Zitationen · DOI
SSRN Electronic Journal · 8 Zitationen · DOI
Journal of Marketing Research · 8 Zitationen · DOI
Lee G. Cooper, Daniel Klapper, Akihiro Inoue, Competitive-Component Analysis: A New Approach to Calibrating Asymmetric Market-Share Models, Journal of Marketing Research, Vol. 33, No. 2 (May, 1996), pp. 224-238
Kooperationen1
Bestätigte Forscher↔Partner-Paare aus HU-FIS — Gold-Standard-Positive für das Matching.
SFB/TRR 190/2: Transparenz und Produktwahl in digitalen Umgebungen (TP A05)
university
Stammdaten
Identität, Organisation und Kontakt aus HU-FIS.
- Name
- Prof. Dr. Daniel Klapper
- Titel
- Prof. Dr.
- Fakultät
- Wirtschaftswissenschaftliche Fakultät
- Institut
- Marketing
- Telefon
- +49 30 2093-99482
- HU-FIS-Profil
- Quelle ↗
- Zuletzt gescrapt
- 26.4.2026, 01:07:20