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Protective behavior in ride-sharing through the lens of protection motivation theory and usage situation theory
Institution:1. College of Management and Economics, Tianjin University, Tianjin 300072, PR China;2. School of Management, Huazhong University of Science and Technology, Wuhan 430074, PR China;1. Business Information Systems, The University of Sydney, Sydney, Australia;2. The University of New South Wales, Sydney, Australia;1. School of Management, University of Science and Technology of China, No. 96, JinZhai Road, Hefei, Anhui 230000, China;2. School of Management, Hefei University of Technology, No. 193, TunXi Road, Hefei, Anhui 230000, China;3. International Institute of Finance, School of Management, University of Science and Technology of China, No.96, JinZhai Road, Hefei, Anhui 230000, China;1. Alibaba Business College, Hangzhou Normal University, Hangzhou, China;2. School of Business, Zhejiang University City College, Hangzhou, China;3. School of Management, Zhejiang University, Hangzhou, China;1. University of Ljubljana, School of Economics and Business, Kardeljeva plo??ad 17, 1000 Ljubljana, Slovenia;2. NEOMA Business School, 1 Rue du Maréchal Juin, 76130 Mont-Saint-Aignan, France
Abstract:The frequent occurrence of security incidents in ride-sharing is a challenge for the survival of IT-enabled ride-sharing platforms. Passengers’ protective behavior is an effective means to alleviate this issue, with benefits to both the passengers and the platforms. This study explores the mechanisms of passengers’ protective behavior in the ride-sharing context by combining protection motivation theory (PMT) and usage situation theory. We test our hypotheses using data (n = 346) collected from a field survey based on a real scenario. The findings reveal that PMT and usage situation theory work well to explain passengers’ protective behavior during ride-sharing. This study explains the motivation behind passengers’ protective behavior in the ride-sharing context, extends the contents of PMT by exploring its antecedents, and extends the contents of usage situation theory by introducing a new dimension. Our findings can help ride-sharing platforms take appropriate strategies to improve passengers’ protective behavior.
Keywords:Ride-sharing  Sharing economy  Protective behavior  Protection motivation theory  Usage situation  Compliance with security policies  Information systems
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