Trust in Online Ride-Sharing Transactions: Impacts of Heterogeneous Order Features

ABSTRACT

With the development of the sharing economy, online ride-sharing has become a primary form of commuting. Using secondary transaction data, this study investigates the associations between the heterogeneous features and mutual trust in sharing economy-driven online ride-sharing transactions. Based on an examination of 12,404 ride-sharing orders in Beijing, we propose a set of trust distribution maps using order location data to reveal heterogeneous spatial patterns of the relationship between online ride-sharing transactions and mutual trust. The results show that the historical order completion rate and order distance are positively associated with mutual trust in ride-sharing transactions, whereas order time and departure density negatively and significantly influence mutual trust. Furthermore, we use machine learning algorithms to predict trust. The implications for theory and practice and future research directions are discussed.

KEYWORDS:

• Sharing economy
• online ride-sharing
• online trust
• ensemble learning
• geoinformatics machine learning

Acknowledgment

All authors contributed equally.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

¹ www.chinadaily.com.cn/china/2016-05/05/content_25069676.htm<>

Additional information

Funding

The authors would like to thank National Natural Science Foundation of China (Grant NO. 71871061; 72271236;72001005;71771210;91846201;71872060), the fund for building world-class universities (disciplines) of Renmin University of China (Project No. KYGJA2022002), School of Interdisciplinary Studies in Renmin University of China, Metaverse Research Center in Renmin University of China, the Fundamental Research Funds for the Central Universities of China (JZ2020HGPA0113, 21XNL018) and Key Laboratory of Philosophy and Social Sciences for Cyberspace Behaviour and Management, Hefei, Anhui, China.

Notes on contributors

Xusen Cheng

Xusen Cheng ([email protected]) is a Professor of Information Systems in the School of Information at Renmin University of China, China. He received his Ph.D. in Informatics from Manchester Business School, University of Manchester, United Kingdom. Dr. Cheng’s research focuses on collaboration and online communities, sharing economy and e-commerce, trust and virtual teams, and behavior and design issues in information systems. His papers have appeared in journals such as Journal of Management Information Systems, MIS Quarterly, European Journal of Information Systems, Decision Sciences, and Information and Management, among others. His research has also been presented at the leading conferences such as International Conference on Information System (ICIS) and Hawaii International Conference on System Science (HICSS).

Shixuan Fu

Shixuan Fu ([email protected]) is an Associate Professor in the School of Economics and Management at the University of Science and Technology Beijing, China. Her interests focus on virtual collaboration, idea convergence, sharing economy, and crowdsourcing. Dr. Fu’s publications have appeared in such journals as Journal of Management Information Systems, Tourism Management, Computers in Human Behavior, Information Technology and People, and Group Decision and Negotiation, and several conference proceedings, such as those of ICIS and HCSS.

Jianshan Sun

Jianshan Sun ([email protected]; corresponding author) is an Associate Professor of Electronic Commerce in the School of Management at the Hefei University of Technology, China. He received his Ph.D. in Information Systems from City University of Hong Kong. Dr. Sun’s research interests include collaboration engineering and facilitation, personalized services and making, and recommender systems. His research and published in several journals including Decision Support Systems, International Journal of Production Economics, Information Processing and Management, and British Journal of Educational Technology, among others. Dr. Sun has been presented at international conferences such as ICIS and HICSS.

Meiyun Zuo

Meiyun Zuo ([email protected]; corresponding author) is a Professor and Director of Research Institute of Smart Senior Care, and an Associate Dean of School of Information, Renmin University of China, China. He is also the Associate Chair of Chinese Information Economics Society. His research interests include smart senior care, behavior and design issues in information systems, knowledge management, and digital society Dr. Zuo’s work has been published in Journal of AIS, International Journal of Information Management, Internet Research, Information System Journal, and Information Technology and People, among others.

Xiangsong Meng

Xiangsong Meng ([email protected]) is graduate student in the School of Information Technology and Management at University of International Business and Economics, China. His research interest includes sharing economy and e-commerce, big data analytics, and deep learning. His research has been presented at HICSS.