User Acceptance In Sharing Economy - A Study Of Transportation Network Companies In China

User acceptance research has been one of the most prominent topics in the field of information systems. The phenomenon has been researched for many digital technologies in various contexts. This study will focus on user acceptance of digitally-embedded Transport Network Companies (TNCs) in China. The sheer size and uniqueness of the Chinese mobile economy fostered rapid development of sharing economy firms. The state of the art UTAUT2 model has been used in this research with an explanatory purpose and deductive approach to explain the user acceptance of TNC in China. Each of the individual factors of UTAUT2 have been individually tested with Simple Linear Regression to determine their influence on user acceptance. These calculations were executed upon quantitative data from an electronically distributed survey. The finding provides insights of user acceptance of mobile digital technologies. Upon analysis of the findings, research and practical implications have been drawn. For example, the findings provide guidance to the emerging market of TNC by providing managerial recommendations for how TNCs can raise user acceptance and market share

User Acceptance in the Sharing Economy : An explanatory study of Transportation Network Companies in China based on UTAUT2

For many years, research on user acceptance of different technologies has been one of the most important topics within the field of information systems. In markets with the sheer size and uniqueness of the Chinese mobile economy fostered rapid development of sharing economy firms. Transportation Network Companies (TNC) can be regarded as a context of the sharing economy that focuses on personal transportation. Intrigued by the immense success of TNC and notorious competition between TNC companies Uber and DiDi in China, we study why users are susceptible to TNC. In this study, user acceptance is defined as intention to use TNC and the actual use of TNC. This study aims to examine what factors affect user acceptance of TNC in China and to what extent. By this, the thesis aims to provide TNC with adequate recommendations for success. The state of the art user acceptance model UTAUT2 has been used in this research with an explanatory purpose and a deductive approach. The UTAUT2 model consists of factors related to user acceptance, such as Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value and Habit. These factors were individually tested with Simple Linear Regression to determine their influence on user acceptance. These calculations were executed upon quantitative data from an electronically distributed survey. Upon analysis of the findings, research and practical implications are provided such as managerial recommendations for how TNC can raise user acceptance and increase market share