The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value

https://cris.winchester.ac.uk/ws/files/337947/11841184_Marriott_RiskTrustMobileShopping_withstatement.pdf

Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study

Examining consumer attitudes towards retailers’ m-commerce mobile applications – An initial adoption vs. continuous use perspective

With the increased popularity of mobile devices, hotels and online travel agencies have started focusing on mobile hotel booking (MHB) in recent years. However, there has been limited research on users" loyalty intentions toward MHB technology. This research attempted to provide an integrated theoretical model that examines the determinants of MHB loyalty. The proposed model, which incorporates personalization, privacy concern, trust, perceived risk, and loyalty, was tested via structural equation modeling (SEM) by using data collected from 396 MHB users. The study results demonstrated that personalization is a strong predictor of MHB users" privacy concerns, trust, and risk perceptions. In addition, privacy concern had a significant impact on trust, and trust significantly influenced perceived risk. Finally, the results revealed that trust and perceived risk were associated with loyalty. This study provides valuable theoretical contributions for researchers and practical implications for online travel agencies, hotel operators and hospitality technology vendors.

Understanding mobile hotel booking loyalty: an integration of privacy calculus theory and trust-risk framework

Over the last decade, bank industry has made a significant investment on mobile banking (MB) as an innovative tool with an expectation that MB services increase customer satisfaction. While the focus has been increasingly on MB adoption, banking research shows more value is generated with frequent and continued usage of MB services, an area that has been given little attention. This study integrates privacy and personalization into TAM theoretical model to address this gap. SEM analysis of a sample of 486 MB customers from a US local bank reveals that perceived usefulness and perceived ease of use are significant predictors of satisfaction, while satisfaction can determine continued usage intention of MB. However, the interaction effect shows statistical significance for privacy, but not for personalization. Limitations and implications for academia and industry are discussed.

Privacy and Personalization in Continued Usage Intention of Mobile Banking: An Integrative Perspective

M-commerce (mobile commerce) has been gaining popularity as the smartphones proliferated and the high speed mobile data networks become increasingly ubiquitous in the recent years. This study attempts to identify the unique marketing context and features of m-commerce as compared to e-commerce, and to explore how consumers' demographic differences may affect their concerns for information privacy (CFIP) in the context of m-commerce. The APCO model (Antecedents → Privacy Concerns → Outcomes) is used as a framework to help derive our research model. Two perspectives about m-commerce are explored. The m-commerce consumers' demographic differences and their concerns over privacy are analyzed, based on a survey of 278 mobile phone users in U.S. It has been found that the consumers' demographic differences have varying degrees of impact on their concerns for information privacy in the context of m-commerce. These varying degrees of privacy concerns need to be addressed to ensure the healthy growth in m-commerce.

Ca Jaejung Lee

Papers

Mobile Commerce and Consumer Privacy Concerns