The extraordinary attraction of being ordinary: A moderated mediation model of purchase for prototypical products

Scarpi, Daniele; Pizzi, Gabriele; Raggiotto, Francesco

doi:10.1016/j.jretconser.2019.03.006

Cited by 26 publications

(17 citation statements)

References 90 publications

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“…When Standard factor loading's value is above 0.70, it confirms that item can represent the connotation of the construct. The analysis progress is standard and results are consistent with previous researches [48,49,50]. Table 3 shows the Cronbach's alpha values, and all of them are above the recommended threshold value of 0.7 to prove their reliability.…”

Section: Resultssupporting

confidence: 83%

Switching intention to crypto-currency market: Factors predisposing some individuals to risky investment

et al. 2020

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We investigate factors affecting individual investors' switching intention from traditional financial market to crypto-currency financial market. By sampling factors of individual investors related with crypto-currency (CC), the study applies structural equation modeling method (SEM) to investigate their effects on switching intention by integrating PPM and Reinforcement Sensitivity theories (RST) to form a pulling, pushing and mooring effects model. The investigation indicates that crypto-currency market can be regarded as a kind of beneficial supplement of tradition investment market for those individual investors who are with high innovativeness, reward sensitivity, knowledge and perceived risk. This study proves that the individual investors are not only attracted by significant expected return from crypto-currency but also relevant knowledge and risks disclosed by crypto-currency market regulators and distributors. The findings reinforce major roles for both market regulators and individual investors in considering and providing insights for future policy, management and investigations.

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Section: Resultssupporting

confidence: 83%

Switching intention to crypto-currency market: Factors predisposing some individuals to risky investment

et al. 2020

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“…People rate more average, or prototypical, exemplars of many different kinds of objects more positively than atypical ones, including words , colors , chords (Brattico et al, 2009), consumer goods (Scarpi et al, 2019), abstract dot patterns (Vogel et al, 2018;Winkielman et al, 2006), animals and cars (Halberstadt & Rhodes, 2003), and faces (Dotsch et al, 2016;Muñoz-Reyes et al, 2015;Rhodes et al, 2001;Ryali et al, 2020) with the potential exception of negatively valenced image categories (Vogel et al, 2020). In the case of faces, the effect is often attributed to an underlying positive valuation of smooth-skinned, symmetrical faces, supposedly indicating better, less damaged, genetic material (Rhodes, 2006).…”

Section: Averageness and Prototypicalitymentioning

confidence: 99%

A computational model of aesthetic value

Brielmann¹,

Dayan²

2021

Preprint

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People invest precious time and resources on sensory experiences such as watching movies or listening to music. Yet, we still have a poor understanding of how sensory experiences gain aesthetic value. We propose a model of aesthetic value that integrates existing theories with literature on conventional primary and secondary rewards such as food and money. We assume that the states of observers' sensory and cognitive systems adapt to process stimuli effectively in both the present and the future. These system states collectively comprise a probabilistic generative model of stimuli in the environment. Two interlinked components generate value: immediate sensory reward and the change in expected future reward. Immediate sensory reward is taken as the fluency with which a stimulus is processed, quantified by the likelihood of that stimulus given an observer's state. The change in expected future reward is taken as the change in fluency with which likely future stimuli will be processed. It is quantified by the change in the divergence between the observer's system state and the distribution of stimuli that the observer expects to see over the long term.Simulations show that a simple version of the model can account for empirical data on the effects of exposure, complexity, and symmetry on aesthetic value judgments. Taken together, our model melds processing fluency theories (immediate reward) and learning theories (change in expected future reward). Its application offers insight as to how the interplay of immediate processing fluency and learning gives rise to aesthetic value judgments.

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“…As younger customers grow with social media, brands must adapt over advertising and advertising. Instagram for example is where younger customers can be reached not the old newspaper [72] .…”

Section:  Appeal To Young Socially Savvy Clientsmentioning

confidence: 99%

How Social Media Changes Today’s Marketing Strategies

Murshed¹

2020

IJISRT

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In the past recent years, WhatsApp and WeChat have surprisingly fast growth. Facebook as well became the first social network to reach 1 billion active users every month. The presence of social media is an expectation for brands instead of an exception to the rule. Social events and shared information within your target market will help you understand developments in the industry. The opportunity to expose patterns in business in real time is a potential business intelligence goldmine. The worldwide rate of social penetration reached 49% in 2020, with the highest penetration rates in East Asia and North America. Instagram enables users, through their standards of credibility, authenticity and transparency, to develop themselves. Influencers from social media have a personal recognizable identity, also known as the "true brand" An influencer has tools and values that can motivate many other followers to increase their presence in the media. Even if these leads do not directly buy via social, awareness-raising can lead them to become full-time buyers. The overwhelming majority of users in Instagram are under the age of 30 according to recent Social Media demographics. Marketers face a dilemma: more and more people want businesses to take a social stand, but 79% of CMOs fear that their capacity to attract consumers will be adversely affected. Businesses can mitigate negative emotions by providing positive information to popular social media users. Marketing managers will encourage consumers through tournament and influencer programmers to engage in contact practices so customers can evangelize and encourage their loyalty to the organization through the creation and delivery of user-generated content

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The extraordinary attraction of being ordinary: A moderated mediation model of purchase for prototypical products

Cited by 26 publications

References 90 publications

Switching intention to crypto-currency market: Factors predisposing some individuals to risky investment

Switching intention to crypto-currency market: Factors predisposing some individuals to risky investment

A computational model of aesthetic value

How Social Media Changes Today’s Marketing Strategies

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