2015
DOI: 10.1080/08874417.2015.11645804
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An Empirical Study on Factors Influencing Consumers' Initial Trust in Wearable Commerce

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Cited by 69 publications
(79 citation statements)
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References 27 publications
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“…Gao et al [17] as well as Wu et al [63] were able to confirm the importance of social influence on the acceptance of wearable fitness devices. Furthermore, past studies have integrated barriers against using wearable technologies, such as lack of trust [23], performance risks [68] as well as security and privacy concerns [e.g. 36] into their research models.…”
Section: Fitness Trackers and Technology Acceptancementioning
confidence: 99%
See 1 more Smart Citation
“…Gao et al [17] as well as Wu et al [63] were able to confirm the importance of social influence on the acceptance of wearable fitness devices. Furthermore, past studies have integrated barriers against using wearable technologies, such as lack of trust [23], performance risks [68] as well as security and privacy concerns [e.g. 36] into their research models.…”
Section: Fitness Trackers and Technology Acceptancementioning
confidence: 99%
“…36] into their research models. Privacy issues are of particular importance, as their impact on the intention to use is twofold: For one thing, they directly affect the consumer's intention to use a given technology [13,48], and for another, they have a negative impact on the mediating factor of trust [23], which consequently dampens the intention to use. Due to the special characteristics of FTs, an integration of privacy constructs into traditional acceptance models is crucial, as this essential barrier is not well understood in the field of wearable technology [28].…”
Section: Fitness Trackers and Technology Acceptancementioning
confidence: 99%
“…Extant studies have implied that users' trust may not only be affected by perception-based factors (such as effort expectancy, personal traits or trust propensity), but also by transferencebased factors (such as structural assurance, offline trust and online trust) (Giovannini et al 2015;Gu & Xu, 2015;Zhou, 2014a). Giovannini et al (2015) argued that online trust, offline trust, How Social Support Motivates Trust and Purchase Intentions in Mobile Social Commerce and ease-of-use have positive effects on trust in mobile commerce.…”
Section: Introductionmentioning
confidence: 99%
“…Giovannini et al (2015) argued that online trust, offline trust, How Social Support Motivates Trust and Purchase Intentions in Mobile Social Commerce and ease-of-use have positive effects on trust in mobile commerce. Gu and Xu (2015) argued that trust propensity has significant effects on trust in wearable commerce. Zhou (2014a) contended that structural assurance and online trust positively affect trust in mobile payments.…”
Section: Introductionmentioning
confidence: 99%
“…Consumers' perception of social risk, the anticipated or potential lack of acceptance from significant others as a result of adopting a product or service (Featherman and Pavlou, 2003;San Martín et al, 2011), is increasingly recognized as one of the fundamental drivers of purchase decisions (Yokoyama et al, 2014;Shang et al, 2017). However, in the wearable products consumption context, much of the research up to now has confirmed the effect of performance risk and financial risk (Yang et al, 2016) as well as privacy risk (Gu et al, 2016) on user acceptance intention. It is unclear whether the relationship between perceived social risk and purchase intention still holds true for wearable devices.…”
Section: Mental Imagery Affecting Perceived Social Risk Positive Emomentioning
confidence: 99%