{"title":"On the Determinants of the Business Model of Online Ride-Hailing Market","authors":"Hang Liu, Peng Yang, Baowen Sun","doi":"10.1145/3371238.3371250","DOIUrl":"https://doi.org/10.1145/3371238.3371250","url":null,"abstract":"In this paper, we focus on the business model of online ride-hailing platform and analyze the fundamental factors that determines the economic performance of online ride-hailing business model. We define the business model of platform economy in the perspective of organizational economics, and based on this definition, two types business model of online ride-hailing market are conceptually constructed. Then, we analyze the economic determinants that influence the adoption of the business model of the online ride-hailing platform. We find that, when the network effects is weak and the passengers' heterogeneity degree in service quality is low, the marketplace model dominates the online ride-hailing market and the market competition level is relatively low; when the network effects and passengers' heterogeneity degree are moderate, the marketplace model remains dominant, while the integration model will emerge in the market, and the proportion of two models depend on the level of network effects and passengers' heterogeneity degree; when the network effects and passengers' heterogeneity degree are all high, the marketplace model and the integration model will coexist, and the market competition is relatively high.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121987126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Impact of Internet Real Estate Intermediary Platform on the Real Estate Market","authors":"Wenzhan Zhang, Shaofei Chen, Dongmei Guo, Bing Li","doi":"10.1145/3371238.3371259","DOIUrl":"https://doi.org/10.1145/3371238.3371259","url":null,"abstract":"The real estate industry not only plays an important role in the economy development of China, but also receives widespread attention from public as it involves the vital interests of every family. High housing prices and violent fluctuations are often criticized as obstacles to the further economic development. In many product markets, it is found that e-commerce platforms have significant advantages in information symmetry and transparency. This helps to stabilize prices and reduce volatility. However, there is no research specifically on the impact of e-commerce platforms on the real estate market. This paper explores the impact of the emerging Internet real estate intermediary platform on the real estate market based on difference-in-difference model(DID). This paper analyzes the real estate transactions data in Beijing from 2015 to 2016 and the interest rate cut policy of People's Bank of China in Octorber 2015. The results show that compared with the traditional intermediary, the Internet trading platform has significantly reduced the housing price increase and transaction fluctuations after the policy shock. Taken into account the characteristic differences in the property of the two trading methods, we use the PSM-DID method to reanalyze the data. And We did not found any difference about the results.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124399816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How \"Task-Individual Fit\" Influences User Contribution Behaviors in Citizen Science","authors":"Jiayan Guo, Jian Tang, Xinxue Zhou, Jing Li","doi":"10.1145/3371238.3371254","DOIUrl":"https://doi.org/10.1145/3371238.3371254","url":null,"abstract":"This paper presents a study on how task-individual fit influences user attitudes, self-efficacy, and contribution behaviors in a citizen science project. The paper selected task complexity and individual training to create four task-individual fit scenarios to examine effects of task-individual fit. We developed a botanical classification citizen science task and experimented with collecting data. In the formal experiment, we collected 183 valid subject data. Data analysis was performed by MANOVA and multiple regression analysis methods to verify the research model. Results of analysis of variance show significant differences in self-efficacy, quantity, and accuracy among the four groups and in user attitudes among some groups. Regression analysis shows that self-efficacy and quantity positively affect accuracy; user attitude affects accuracy by affecting self-efficacy; user attitude positively affects self-efficacy. This paper's findings provide both theoretical and practical implications for citizen science project design.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130720110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Is the Development of E-commerce Spatially Relevant?: A Spatial Econometric Analysis","authors":"Diana Qiu, Wenjun Jing, Yi He","doi":"10.1145/3371238.3371257","DOIUrl":"https://doi.org/10.1145/3371238.3371257","url":null,"abstract":"While e-commerce is booming, it also exposes the problem of uneven regional development. This paper takes 31 provinces as the research object and uses spatial measurement methods to analyze whether the development of e-commerce has a spatial correlation. The research shows that at the level of global autocorrelation, China's e-commerce development does not have spatial correlation, showing the situation of random development in various places, In terms of local autocorrelation, there is no polarization and diffusion effect in e-commerce sales and e-commerce purchases in various provinces, but there are polarization and diffusion effect in the number of enterprises with e-commerce activities. The research in this paper shows that the spatial correlation of e-commerce development between provinces is not significant, and the distribution status of \"East Strong but West Weak\" shows the problem of echelon solidification between provinces.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132644455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Web Crawler-based Consensus Analysis System for Cross-Border Products","authors":"Xiao Zhu, Yinsheng Li, X. Liang","doi":"10.1145/3371238.3371266","DOIUrl":"https://doi.org/10.1145/3371238.3371266","url":null,"abstract":"Internet consensus analysis is an act of analyzing public opinions on the Internet. At present, Internet consensus monitoring and analysis in most enterprises mainly depends on manual work. Manual monitoring of public opinion will encounter many problems: incomplete collection of consensus, untimely discovery of consensus, inaccurate analysis of consensus, and inconvenient use of information. This paper introduces an Internet consensus analysis system and data processing method for cross-border products. This system using web crawler to obtain consensus relating to the products from Internet. In order to turn the raw web pages into structured data, some data extraction and processing methods are used. Also the system can analyze the emotional tendency of the Internet public opinions by emotional dictionary. It has been proved by practice that this system can collect and process the Internet consensus of cross-border products intelligently and automatically.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123453235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}