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

By Norman Shaw, Ksenia Sergueeva. International Journal of Information Management, 2019

429 citations recorded by the source corpus.

Abstract Consumers can conduct mobile commerce via their smartphones. They can search for products and when ready, they pay and have the products delivered to their homes. By sharing personal information, they receive faster and more customized service. Because of the risk of loss of privacy, consumers need to balance their privacy concerns against the perceived value of enhanced mobile commerce. In this empirical study, the unified theory of acceptance and use of technology (UTAUT2) is modified where perceived value replaces price value to represent the value of an IT artifact that has no direct costs attributable to it. The framework is extended to include constructs from the privacy calculus. In addition, the construct of personal innovativeness is added as a moderator with the anticipation that owners of smartphones who are more personally innovative will be more willing to share information. From an empirical study of Canadian smartphone owners, the results show that perceived privacy concerns influence perceived value and that intention to use is significantly influenced by hedonic motivation and perceived value.

Subfields: Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/f7f85785d92b468ac2a4f5af551e24cf1b6a94a9

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In Information Systems and Management

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Citations in the corpus

Reflective Model of Brand Awareness on Repurchase Intention and Customer Satisfaction (2020, background): “3) The risk factor affects online shopping intentions (Shaw & Sergueeva, 2019).”
Personalization and hedonic motivation in creating customer experiences and loyalty in omnichannel retail (2020, background): “…a customer’s shopping journey; researchers have proven this relationship in the contexts of offline search behavior (Arnold and Reynolds, 2003), time spent browsing in online stores (Kim and Eastin, 2011; Menon and Kahn, 2002), and intention to use mobile retail services (Shaw and Sergueeva, 2019).”
Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality (2019, background): “Previous studies have empirically analyzed how the seven variables of the UTAUT2 model–performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, and habit–were related to intention to use [66,67].”
A meta-analysis of antecedents and consequences of trust in mobile commerce (2020, methodology): “Thus, some studies refer to perceived usefulness as performance expectancy (Khalilzadeh, Ozturk, & Bilgihan, 2017; Luo, Li, Zhang, & Shim, 2010; Shaw & Sergueeva, 2019; Zhou, 2014).”