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

被引:35
作者
Cui, Li [1 ]
Hou, Ying [1 ]
Liu, Yang [2 ]
Zhang, Lu [3 ,4 ]
机构
[1] Dalian Univ Technol, Sch Business, Panjin, Peoples R China
[2] Univ Glasgow, Adam Smith Business Sch, Glasgow, Lanark, Scotland
[3] Inner Mongolia Univ Technol, Sch Econ & Management, Hohhot 010051, Peoples R China
[4] Renmin Univ China, Sch Business, Beijing 100872, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Sharing economy driven digital platforms; influencing factors; social and economic development; text mining; business model; COLLABORATIVE CONSUMPTION; BUSINESS MODEL; TRUST; PRICE; REPUTATION; FRAMEWORK; SENTIMENT; MOTIVES; TOURISM; QUALITY;
D O I
10.1080/02681102.2020.1815636
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
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.
引用
收藏
页码:779 / 801
页数:23
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