Text mining to explore the influencing factors of sharing economy driven digital platforms to promote social and economic development

Li Cui, Ying Hou, Yang Liu, Lu Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

As the sharing economy develops rapidly, associated sharing economy driven digital platforms are becoming increasingly important and are linked to social and economic development. Identifying the influencing factors of sharing economy driven digital platforms to promote social and economic development can provide relevant knowledge and suggestions for firms running these types of platforms. Therefore, this paper proposes an approach based on text mining that uses different models to explore the influencing factors of sharing economy driven digital platforms to promote social and economic development. The results show that sharing economy driven digital platforms with consumer-to-consumer business models emphasize social connections, while platforms with a business-to-consumer model focus more on economic benefits. Technological and regulatory innovation is the new driving force for sharing economy driven digital platforms to promote social and economic development in the future. Suggestions for sharing economy driven digital platforms to promote social and economic development are provided.
Original languageEnglish
Pages (from-to)779-801
JournalInformation Technology for Development
Volume27
Issue number4
Early online date8 Sept 2020
DOIs
Publication statusPublished - 2021

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