To address user privacy concerns and improve user trust levels, sharing platforms are commencing to focus on investing in blockchain technology. This study focuses on blockchain technology investment and pricing strategies for two asymmetric sharing platforms. By constructing a Hotelling model, we investigate the investment strategies of the two asymmetric platforms regarding blockchain technology under different user attribution behaviours, i.e., single-homing or multi-homing, and the optimal pricing under different investment decisions. Afterwards, we compare and analyse the investment strategies under different conditions, obtain the influence of relevant market factors on the pricing strategies of the platforms, and finally determine the optimal timing of blockchain technology investment for asymmetric sharing platforms. The results indicate that when users' perception of blockchain value is high, both platforms are motivated to introduce blockchain technology, and, conversely, a stronger platform exits the blockchain market. In multi-homing markets, platforms are more likely to implement blockchain strategies and the cost of technology investment is significantly higher than in a single-homing market. In addition, we also find that the degree of differentiation has a significant impact on the blockchain strategies of weaker platform under multi-homing market.
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http://dx.doi.org/10.3390/ijerph192316060 | DOI Listing |
Sci Rep
December 2024
Department of Information Technology, College of Computer, Qassim University, Buraydah, 51452, Saudi Arabia.
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View Article and Find Full Text PDFCureus
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Quality and Health Data Integrity, Arrowhead Regional Medical Center, Colton, USA.
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View Article and Find Full Text PDFRisk Anal
December 2024
School of Business Administration, South China University of Technology, Guangzhou, PR China.
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View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
College of Environment and Ecology, Chongqing University, Chongqing 400045, China.
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