Fachbuch, 2018
146 Seiten
This master thesis aims to investigate consumer reactions to dynamic pricing in e-commerce, specifically focusing on status-based dynamic pricing and its impact on both new and existing customers' price fairness perception and repurchase intention.
The thesis begins with an introduction providing context and outlining the research question. Chapter 2 delves into the theoretical foundations of dynamic pricing and reviews relevant literature, identifying existing research gaps. Chapter 3 establishes a conceptual model, proposing hypotheses about the relationship between status-based dynamic pricing, price fairness perception, and repurchase intention. Chapter 4 outlines the methodology employed, including the survey method, scenarios, and survey items used for data collection. Chapter 5 presents the data analysis and results, examining the differences in price fairness perception between new and existing customers and testing the proposed hypotheses. Finally, Chapter 6 discusses the results, drawing managerial implications and highlighting limitations and avenues for future research.
Dynamic pricing, status-based pricing, price fairness perception, repurchase intention, e-commerce, consumer behavior, price sensitivity, relationship quality, prior trust, prior experience, moderation, mediation.
Dynamic pricing is a strategy where companies vary prices on the internet to exploit a consumer's maximum willingness to pay and increase profits.
It is a form of dynamic pricing where the price depends on the customer's status, such as whether they are a new customer or a regular (existing) customer.
When customers notice price disadvantages, they often perceive the pricing as unfair, which can lead to dissatisfaction and complaints.
Yes, the study examines if regular customers have a different price fairness perception and whether their prior trust and relationship quality influence their reaction.
Dissatisfaction can have long-term negative impacts on the buyer-seller relationship, the company's reputation, and future repurchase intentions.
According to the abstract, approximately 40% of German companies vary their prices dynamically on the internet.
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