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Research On Factors Influencing Users' Intention To Use Mobile Carpooling App

Posted on:2018-07-21Degree:MasterType:Thesis
Country:ChinaCandidate:R C LiuFull Text:PDF
GTID:2359330512984866Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of mobile Internet, the ardent support of the people for low-carbon economy and sharing economy, the social and market demand for carpooling, the favorable policy, internet companies have launched mobile carpooling App. It integrates idle empty car seat resources with passenger's travel demand,promoting the match between the passengers and private automobile drivers who have similar travel plans with each other, making them take one automobile and share the travel costs, providing a more economical travel choice for users. The mobile carpooling App has the characteristics of mobility and ubiquity, it improves the information asymmetry between the passengers and the drivers, reducing the costs of information collection; improving the safety and convenience of the carpooling transaction. Additionally, carpooling can lead to an army of positive effects, thus the mobile carpooling App has a high commercial and social value. User's acceptance and usage of the mobile carpooling App plays a decisive role in the development of the mobile carpooling App and the expression of its commercial and social value. At present, there is a lack of empirical research on user behavior of this new mobile commerce application - mobile carpooling App at home and abroad. Therefore, this research has certain theoretical and practical significance.Through the analysis of the business model of mobile carpooling App, this paper defined the mobile carpooling App as a mobile commerce application, which has the characteristics of 020 and C2C e-commerce model and bilateral platform; And based on the research results of user's usage behavior of mobile commerce and relevant applications, this paper chose the integration model of TAM and IDT as the foundation of the theoretical model, and this paper was based on the angle of mobile carpooling APP operators to choose external variables. From the perspective of the App's own characteristics, we chose the information quality, service quality and cross-group externality as the external variables of the model. From the perspective of the user's cognition of the App, we chose the perceived risk and perceived cost as the external variables of the model. From the perspective of external factors, we chose the social influence as the external variable of the model, subsequently we constructed the theoretical model of the user's intention to use the mobile carpooling App. Referring to the domestic and foreign scholars' research, combing with the background of mobile carpooling App, this paper designed the measurement items, designed and distributed questionnaires for empirical research. Using the tools of SPSS 20.0 and AMOS 24.0,this paper validated the proposed theoretical model and assumptions by using reliability and validity analysis, structural equation model analysis.The main results in this paper are: the use attitude has a positive effect on user's use intention,and it has a maximum effect on user's use intention; the compatibility has a positive effect on user's use attitude; the perceived usefulness has a positive effect on user's use intention,it also has indirect positive effect on user's use intention through use attitude; the information quality, service quality, cross-group externality, perceived ease of use have a positive impact on the user's perceived usefulness, the perceived ease of use has no significant effect on user's use attitude, the cross-group externality has no significant effect on user's use attitude, use intention; the perceived risk, perceived cost all have a negative impact on user's use attitude, use intention; the social influence has a positive effect on user's perceived usefulness, use attitude and use intention. Based on the research results, this paper provided five management suggestions for mobile carpooling App operators.
Keywords/Search Tags:Mobile Carpooling App, Use Intention, Technology Acceptance Model, Sharing Economy
PDF Full Text Request
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