Jun.-Prof. Dr. Tetyana Kosyakova

Junior Professor of Marketing Management at HHL Leipzig Graduate School of Management 

I am a Junior Professor of Marketing Management at HHL Leipzig Graduate School of Management. I obtained my PhD degree at Goethe University Frankfurt.

In my research, I develop and apply advanced quantitative methods to study consumer decision-making processes, model consumer choice, and elicit consumer preferences to support the innovation process and help businesses optimize their offerings. I use Bayesian techniques to uncover consumer heterogeneity and understand differences in preferences and responses to marketing activities. I am also deeply interested in the potential of high-dimensional unstructured data for marketing research.

Research Interests: 

Consumer Choice, Choice/Marketing Modeling, Bayesian Methods and Applications in Marketing, Models of Consumer Heterogeneity, Demand Estimation, Menu-Based Choice and Product Configurators, Targeting, Customer Base Analysis, Unstructured Data.


Research

Publications

Exact MCMC for Choices from Menus - Measuring Substitution and Complementarity among Menu Items

with Thomas Otter, Sanjog Misra, and Christian Neuerburg, 2020

Marketing Science Vol. 39(2), pp. 427-447


Book Chapters

Implications of Linear Versus Dummy Coding for Pooling of Information in Hierarchical Models

with Thomas Otter, 2012

Adamantios Diamantopoulos, Wolfgang Fritz, Lutz Hildebrandt (eds): Quantitative Marketing and Marketing Management, Wiesbaden: Springer Gabler, pp. 171-190


Working Papers


Lay and Professional Advisors: Exploring heterogeneity in financial advice

with Matthias Rumpf, Michalis Haliassos and Thomas Otter, 2024


Constrained Heterogeneity

with Max Pachali, Adam Smith, and Thomas Otter, 2023


Implications from Ignoring the Budget Constraint in Menu Based Choice

with Thomas Otter, 2019


Willingness to Respond and Incentive Alignment in Choice Experiments: Modeling Endogenous Dropouts

with Felix Eggers and Thomas Otter, 2019


A Cross-Validity Comparison of Likelihood Methods for Distributions with Intractable Normalizing Constants

single author, 2019


Work in Progress


Utilizing High Dimensional Bank Transaction Data to Improve Customer Targeting

with Florian Ellsaesser, Sebastian Gabel, and Aurelie Lemmens


Modeling demand for configured durables when financing options are available

with Arash Laghaie and Thomas Otter


Fluency of information processing in choice experiments: Depletion in choice in the context of use of unstructured data

with Siham El Kihal 


Teaching

Big Data Analytics

MBA, HHL Leipzig Graduate School of Management


Marketing Management

UG Core, Frankfurt School of Finance & Management


Marketing Engineering

UG Elective, Tutorials Instructor and Teaching Assistant, Goethe University Frankfurt


Market Research

UG Elective, Teaching Assistant, Goethe University Frankfurt


Brand Management

UG Elective, Teaching Assistant, Goethe University Frankfurt

CV and Contact

HHL Leipzig Graduate School of Management

Jahnallee 59

04109 Leipzig, Germany