Cited 5 time in webofscience Cited 26 time in scopus

Business Model, Open Innovation, and Sustainability in Car Sharing Industry—Comparing Three Economies

Title
Business Model, Open Innovation, and Sustainability in Car Sharing Industry—Comparing Three Economies
Authors
Yun, Jinhyo JosephZhao, XiaofeiWu, JinxiYi, John C.Park, KyungBaeJung, Wooyoung
DGIST Authors
Yun, Jinhyo Joseph; Zhao, Xiaofei; Jung, Wooyoung
Issue Date
2020-03
Citation
Sustainability, 12(5), 1883
Type
Article
Article Type
Article
Author Keywords
car-sharing industryopen innovationbusiness modelUberDiDi-ChexingKakaoT
Keywords
ACCESSPERFORMANCECONSUMPTIONSYSTEMS
ISSN
2071-1050
Abstract
This paper discusses dynamics and differences of business models in the car-sharing industry and focuses on open innovation as the trigger of diverse business models among Uber in the U.S., DiDi Chuxing in China, and KakaoT in Korea. We seek to answer the following two questions: What creates the differences in the business models of the car-sharing industry? Do the differences in open innovation motivate the diversity of business models among Uber, DiDi Chuxing, and KakaoT? We incorporated participatory observation, interviews, and semi-structured questionnaire methods in our study. We used two-step participatory observation and interview methods, hence carrying out observation and interviews two times by different researchers with Uber drivers in the U.S., DiDi-Chuxing drivers in Beijing, and KakaoT taxi drivers in Korea to confirm the interview and participatory observation results. First, business models of the car-sharing firms Uber, DiDi-Chuxing, and KakaoT are not fixed but rather are dynamically changing. Second, business models of car-sharing firms are the result of interaction with government regulations, the taxi industry, public transportation, and the automotive car industry. Third, open innovation strategies of car-sharing firms determine the contents and dynamics of car-sharing business models, such as the revenue business model, responsibility business model, and system business model upon interaction with four agencies. © 2020 by the authors.
URI
http://hdl.handle.net/20.500.11750/11666
DOI
10.3390/su12051883
Publisher
MDPI AG
Related Researcher
  • Author Jung, Wooyoung  
  • Research Interests Artificial Intelligence, Machine Learning, Autonomous Driving
Files:
Collection:
Division of Electronics & Information System1. Journal Articles
Division of Automotive Technology1. Journal Articles


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