The Role of Signaling Identity in the Adoption of Personal Technologies

Arbore, Alessandro; Soscia, Isabella; Bagozzi, Richard P.

doi:10.17705/1jais.00352

Cited by 38 publications

(32 citation statements)

References 64 publications

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“…Symbolic value can be regarded as a kind of self-identity, meaning that consumers can reflect and communicate their social and personal identity when they own or use innovations [125]. It has been established that cars are seen as expressions of social status and power [126].…”

Section: Symbolic Valuementioning

confidence: 99%

The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review

et al. 2020

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Excessive dependence on autonomous vehicles (AVs) may exacerbate traffic congestion and increase exhaust emissions in the future. The diffusion of AVs may be significantly affected by the public’s acceptance. A few factors that may affect people’s acceptance of AVs have been researched in the existing studies, one-third of which cited behavioral theories, while the rest did not. A total of seven factors with behavior theories are screened out that significantly affect the acceptance intention, including perceived ease of use, attitude, social norm, trust, perceived usefulness, perceived risk, and compatibility. Six factors without behavior theories are summed up that affect AV acceptance, namely safety, performance-to-price value, mobility, value of travel time, symbolic value, and environmentally friendly. We found that people in Europe and Asia have substantial differences in attitudes toward AVs and that safety is one of the most concerned factors of AVs by scholars and respondents. Public acceptance of the different types of AVs and consumers’ dynamic preferences for AVs are highlighted in the review too. The quality of literature is systematically assessed based on previously established instruments and tailored for the current review. The results of the assessment show potential opportunities for future research, such as the citation of behavior theories and access to longitudinal data. Additionally, the experimental methods and the utilization of mathematical and theoretical methods could be optimized.

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Section: Symbolic Valuementioning

confidence: 99%

The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review

et al. 2020

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“…Eventually, behavioral intention is the focal decision-making variable of this frame, as has been shown to be a reliable predictor of technology adoption (Arbore et al, 2014;Davis, Bagozzi, & Warshaw, 1989) and according to TAM is significantly correlated to usage (Davis, 1989). Intention represents a person's decision to perform an individual act (or achieve a goal) and is an indicator of a person's interest in using the system in the future (Mouakket, 2017;Venkatesh et al, 2003).…”

Section: Decision Making: Desire and Intentionmentioning

confidence: 99%

Exploring the adoption process of personal technologies: A cognitive-affective approach

Bettiga

Lamberti

2017

The Journal of High Technology Management Research

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The impact of cognitive and emotional factors on the customer's decision to adopt a new technology has long been at the core of innovation and marketing literature. Today, the proliferation of personal technologies makes the understanding of the adoption process of such innovations a vital issue. This article, moving from long-established technology adoption theories, integrates affective factors to propose a comprehensive framework to interpret and orient innovation and marketing approaches of Companies. To do this, we review a rich literature from the domains of management, information systems, marketing and cognitive psychology, identifying six possible sources of perceived value for personal technologies, hence attitude to adopt them: functional value, monetary value, social value, entertainment value, epistemic value and aesthetic value. After defining and framing them in the extant literature, we discuss how the framework may be adopted in practice to support Companies' strategies in the surprisingly under-explored industry of personal technologies.

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“…Hence, our study proposes that all motivators could be induced and moderated by RE and RI of network features. In theArbore et al, 2014). The willingness to share information reflects the extent to which an individual's gains from sharing information exceed the costs(Constant et al, 1994).…”

mentioning

confidence: 99%

Field effects of social media platforms on information-sharing continuance: Do reach and richness matter?

Shang

2017

Information & Management

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The Role of Signaling Identity in the Adoption of Personal Technologies

Cited by 38 publications

References 64 publications

The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review

The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review

Exploring the adoption process of personal technologies: A cognitive-affective approach

Field effects of social media platforms on information-sharing continuance: Do reach and richness matter?

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