Systematic and Unsystematic Time-Based
Dynamic Pricing, Do Customers Prefer a
Pattern?
First supervisor: dr. A.E. Vomberg Second supervisor: dr. E. de Haan
Peter Neef Thesis Defense
Table of contents
1. Introduction 2. Previous Research 3. Conceptual Model 4. Methodology 5. Results 6. Conclusion 7. Managerial Implications8. Limitations and Future Research
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About 1.3 billion ton of food gets
wasted per year, a part of this is
Introduction
▸ Dynamic pricing is adopted in the supermarket industry
▸ Simple discounts on fresh products based on the quality of the
product increases revenue (Herbon et al., 2012) and reduces waste (Buisman & Haijema, 2019)
▸ There are multiple ways of dynamic pricing
▸ Do customers prefer a pattern in time-based dynamic pricing?
Previous Research
▸ Customers are more likely to accept prices that are easy to understand and transparent (Kannan & Kopalle, 2001)
▸ Dynamic pricing that breaks a social norm leads to lower perceived price fairness and customer satisfaction and a higher likelihood of punishment actions from the customer towards the retailer
(Garbarino & Maxwell, 2010)
Previous Research
▸ Positive attitudes of customers are lower towards a firm when they perceive that prices of this firm are unfair (Campbell, 1999).
▸ A wide variation of time-based dynamic prices increases uncertainty (Kannan & Kopalle, 2001)
▸ Ambiguity aversion stems from the fear of criticism people have
Previous Research
▸ For non-perishable products it is more likely that a dynamic pricing strategy has a negative impact than for perishable products (Kannan & Kopalle 2001).
Methodology
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▸ Story based experiment
▸ New supermarket
Methodology
▸ Measures for unfairness, uncertainty, purchase satisfaction and switching intention
▸ Leaflets and approached via social media
▸ 109 complete responses
▸ Confirmatory Factor Analysis
Results Purchase Satisfaction
Results Moderation
Hypotheses
H1a: Systematic versus Unsystematic Dynamic Pricing Purchase Satisfaction H1b: Systematic versus Unsystematic Dynamic Pricing Switching Intention H2a: H1a is mediated by Price Unfairness
H2b: H1b is mediated by Price Unfairness H3a: H1a is mediated by Price Uncertainty H3b: H1b is mediated by Price Uncertainty
Additional Important Findings
Conclusion
▸ Systematic relative to unsystematic dynamic pricing influences customer attitudes and intentions directly and/or indirectly
▸ Perceived price unfairness and (to some extent) perceived price uncertainty mediate these effects
Managerial Implications
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▸ Choice between systematic and unsystematic dynamic pricing
▸ Managers need to decrease perceived price unfairness when implementing unsystematic time-based dynamic pricing
Limitations and Future Research
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▸ Convenient sample
▸ Reverse causality cannot be ruled out
▸ A large part did not pass both manipulation checks
▸ Relevant to look at the explanation from the supermarket
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