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Andreas Krämer

Researcher at Business and Information Technology School

Publications -  24
Citations -  386

Andreas Krämer is an academic researcher from Business and Information Technology School. The author has contributed to research in topics: Customer retention & Customer relationship management. The author has an hindex of 7, co-authored 24 publications receiving 240 citations.

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BookDOI

Managing in a VUCA world

TL;DR: In this article, the authors present a framework for operational agility in a VUCA environment through outsourcing and backshoring of jobs to the UVA campus in the U.S. and Canada.
Journal ArticleDOI

How Do Consumers Evaluate Explainer Videos? An Empirical Study on the Effectiveness and Efficiency of Different Explainer Video Formats

TL;DR: The future potential of explainer videos is explored, a format that conveys complex facts to a target group within a very short time, based on an empirical study representative for the German and U.S. population.
Book ChapterDOI

How Digital Disruption Changes Pricing Strategies and Price Models

TL;DR: In this article, the authors focus on four pricing models: freemium, subscription, flexible and dynamic pricing models, which are dependent on demand and customer profile, and discuss the consequences for the types of pricing models applied in the digital age.
Journal ArticleDOI

A Small Step from Price Competition to Price War: Understanding Causes, Effects and Possible Countermeasures

TL;DR: In this paper, a case study of a price war is presented by focusing on the market of long-distance bus journeys in Germany and using a multi-source-multi-method-approach it is shown how the market entry of UK-based company Megabus affected prices for bus journeys and initiated competitive reactions of the German railway operator Deutsche Bahn.
Book ChapterDOI

Pricing in a VUCA World: How to Optimize Prices, if the Economic, Social and Legal Framework Changes Rapidly

TL;DR: In this article, a value-based pricing is derived from the customer perspective, where three parameters (cost, competitors and customers) are seen as pivotal, when determining the optimal price for a product.