Towards Economic Models for MOOC Pricing Strategy Design
Yongzheng Jia, Zhengyang Song, Xiaolan Bai, Wei Xu

TL;DR
This paper develops structured economic models for MOOC pricing strategies, analyzing both B2C and B2B markets using theoretical insights and real data to address the lack of sustainable business models.
Contribution
It introduces a scientific framework for MOOC business modeling and pricing strategies, combining theoretical research with empirical data analysis.
Findings
Insights into verified certificate pricing in B2C markets
Modeling approaches for course sub-licensing in B2B markets
Identification of key factors influencing MOOC pricing strategies
Abstract
MOOCs have brought unprecedented opportunities of making high-quality courses accessible to everybody. However, from the business point of view, MOOCs are often challenged for lacking of sustainable business models, and academic research for marketing strategies of MOOCs is also a blind spot currently. In this work, we try to formulate the business models and pricing strategies in a structured and scientific way. Based on both theoretical research and real marketing data analysis from a MOOC platform, we present the insights of the pricing strategies for existing MOOC markets. We focus on the pricing strategies for verified certificates in the B2C markets, and also give ideas of modeling the course sub-licensing services in B2B markets.
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Taxonomy
TopicsConsumer Market Behavior and Pricing · Auction Theory and Applications · ICT Impact and Policies
