PEEIM and online shopper loyalty

Tzu Ling Huang, Chun Han Chen, Ching I. Teng

研究成果: 會議稿件的類型論文同行評審

摘要

Online shopping frequently characterized by the risks, e.g., leaking of personal information or credit card fraud. These risks are critical. Hence, shopping websites develop protective mechanisms, enhancing shoppers' Perceived Effectiveness of E-Commerce Institutional Mechanisms (PEEIM). However, shoppers may not perceive this mechanisms, or PEEIM, motivating them to defect and threat shopping websites' survival. To solve this problem, we plan to contextualize the signaling theory into the online shopping context and use context-specific features (quality evaluations and PEEIM) to extend this theory. Our findings will envision which quality aspects are more relevant in forming users' perceptions and loyalty. Theoretically, our findings will change our understanding of the signaling theory that observable cues may not only form beliefs of the two parties (as the theory posited) but also form beliefs pertaining to the third party (e.g., PEEIM).

原文英語
出版狀態已出版 - 2020
事件24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020 - Dubai, 阿拉伯聯合酋長國
持續時間: 20 06 202024 06 2020

Conference

Conference24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020
國家/地區阿拉伯聯合酋長國
城市Dubai
期間20/06/2024/06/20

文獻附註

Publisher Copyright:
© Proceedings of the 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020. All rights reserved.

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