Relevance of actors in bridging positions for product-related information diffusion

Pescher, Christian; Spann, Martin

doi:10.1016/j.jbusres.2013.09.005

Cited by 10 publications

(10 citation statements)

References 49 publications

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“…Norms represent an influential factor since individuals generally have an innate need for companionship and association with other humans (c.f., Cialdini and Goldstein, 2004; for a discussion). Likewise, innovation diffusion research has shown consumers' adoption intention can be influenced when their peers start adopting new products (Rogers, 2010;Pescher and Spann, 2014). Thus, we assume that norms should play a key role in understanding consumers' reactions towards smart glasses.…”

Section: Social Normsmentioning

confidence: 97%

Augmented reality smart glasses: an investigation of technology acceptance drivers

Rauschnabel

2016

IJTMKT

242

123

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Microsoft Hololens and Google Glass (Project Aura) are two examples of a new stream of wearable technology devices called 'Augmented Reality Smart Glasses' that might substantially influence media usage in the near future. In this study, the authors draw upon prior technology acceptance research and propose an exploratory model of antecedents to smart glasses adoption. An empirical study reveals the importance of various drivers such as functional benefits, ease of use, individual difference variables, brand attitudes, and social norms. Although smart glasses are worn in a similar manner to fashion accessories and capture various personal information, self-presentation benefits and potential privacy concerns seem less likely to influence smart glasses adoption. The findings provide pre-market knowledge about smart glasses that can help scholars and managers understand this new technology.

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Section: Social Normsmentioning

confidence: 97%

Augmented reality smart glasses: an investigation of technology acceptance drivers

Rauschnabel

2016

IJTMKT

242

123

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“…Third, although Iyengar et al (2011b) find that susceptibility to social influence does not vary with one's network position (i.e. degree centrality), most previous research has documented monotonic (negative) relationships between network centrality and susceptibility to social influence (Aral and Walker, 2012;Bapna and Umyarov, 2015;Lee, 2014;Pescher and Spann, 2014). Furthermore, two recent studies by Hu and Van den Bulte (2014) and Iyengar et al (2015) provide interesting evidence of an inverse-U relation between status (measured by degree centrality) and susceptibility to social contagion.…”

Section: Introductionmentioning

confidence: 94%

Consumer susceptibility to social influence in new product diffusion networks: how does network location matter?

Zhang

Gong

2020

EJM

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Purpose This study aims to empirically investigate how susceptibility to social influence in new product adoption varies with one’s structural location in a social network. Design/methodology/approach The social network data were collected based on a sociometric network survey with 589 undergraduate students. Social network analysis and ordinary least squares regression analyses were used to test the hypotheses. Findings This study finds that consumers with high degree centrality (i.e. hubs) who have a large number of connections to others and consumers with high betweenness centrality (i.e. bridges) who connect otherwise distant groups in social networks are both less sensitive to informational influence from others. More importantly, the authors find evidence that consumers with moderate levels of degree/betweenness centrality are more susceptible to normative influence and status competition than those with low or high degree/betweenness centrality. The inverse-U patterns in the above relations are consistent with middle-status conformity and anxiety. Research limitations/implications This research complements social influence and new product diffusion research by documenting important contingencies (i.e. network locations) in consumer susceptibility to different types of social influence from a social network perspective. Practical implications The findings will assist marketers to leverage social influence by activating relevant social ties with effective messages in their network marketing strategies. Originality/value This research provides a better understanding of the mechanisms driving susceptibility to social influence in new product diffusion.

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“…Adoption intention: Here we tested the expected easiness to use the technology as well as adoption intentions regarding the using and purchasing [53]. Further, works by [54], [55] have shown that adoption intentions can be affected based on the adoption intention of their peers.…”

Section: User Perceptions About Future Digital Smell Devicementioning

confidence: 99%

“…Further 51.7% said if they have financial resources they would like to buy it. probably, the rest of the participants who rated the device is easy to use or would like try are fallen into the category of 'influenced by peers' as discussed in [54], [55], [53], which means when the people started to use Digital Smell Device the more people will purchase and use in their daily life.…”

Section: ) Research Process and Data Analysismentioning

confidence: 99%

Electric Smell: Towards Electrically Reproducing Artificial Smell Sensations

Cheok¹,

Karunanayaka²

2022

Preprint

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Relevance of actors in bridging positions for product-related information diffusion

Cited by 10 publications

References 49 publications

Augmented reality smart glasses: an investigation of technology acceptance drivers

Augmented reality smart glasses: an investigation of technology acceptance drivers

Consumer susceptibility to social influence in new product diffusion networks: how does network location matter?

Electric Smell: Towards Electrically Reproducing Artificial Smell Sensations

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