Consumer responses to high-technology products: Product attributes, cognition, and emotions

Lee, Seung–Hyun; Ha, Sejin; Widdows, Richard

doi:10.1016/j.jbusres.2011.06.022

Cited by 199 publications

(174 citation statements)

References 40 publications

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“…Kulviwat, Bruner, Kumar, Nasco and Clark (2007) highlight the fact that a young, tech elite should be an interesting market segment for the introduction of new technologies because their adoption and use influences what other more conservative groups eventually do, emphasizing that members of this elite group average twenty-two years of age and spend more than average on technology-related products and services. Undergraduate students fit well this definition, representing a meaningful group for studies on consumer behavior related to new technologies (S. Lee, Ha, & Widdows, 2011). An age limit of 30 years was set for the respondents, in order to provide homogeneity to the sample (avoiding unwanted moderating effects) and to keep its emphasis on the young tech elite as defined by Kuliwat et al (2007).…”

Section: Sample and Data Collection Proceduresmentioning

confidence: 92%

The effects of trust transference, mobile attributes and enjoyment on mobile trust

Giovannini

Ferreira

Silva

et al. 2015

BAR, Braz. Adm. Rev.

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Trust is essential in building relationships. In mobile commerce, as in electronic commerce, trust is even more valuable given the absence of human contact and direct observation of the service provider. Despite the importance of trust for mobile commerce, there has been little academic effort to study the relationships between mobile devices unique components of interactivity and customer trust, or the relationship between offline, online and mobile trust. This study proposes a trust-mediated model for customer attitude and transaction intentions in mobile commerce contexts that incorporates trust transference and unique factors present in mobile commerce. Data were collected in an online survey and analyzed via structural equations modeling. Results suggest that trust transferred from online contexts and ease of use have significant effects on mobile trust formation, while also indicating that mobile trust influences consumers' attitudes and intentions to purchase using mobile devices.

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Section: Sample and Data Collection Proceduresmentioning

confidence: 92%

The effects of trust transference, mobile attributes and enjoyment on mobile trust

Giovannini

Ferreira

Silva

et al. 2015

BAR, Braz. Adm. Rev.

View full text Add to dashboard Cite

show abstract

“…In previous retail and hospitality studies that have adopted the M-R model, scholars have found that the quality of the chosen product affects customers' emotions (A. Chen et al, 2015;Grohmann, Spangenberg, & Sprott, 2007;Jang & Namkung, 2009;Koo & Ju, 2010;S. Lee, Ha, & Widdows, 2011;Ryu, Lee, & Kim, reliability are often considered.…”

Section: H2amentioning

confidence: 99%

The Effects of Trade Show Environments on Visitors

Wong¹,

Li²,

Chen³

et al. 2017

Event Management

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Tourism trade shows that are open to the public as well as to buyers and sellers are an emerging channel for the promotion of products to potential tourists. However, few studies have explored the influence of environmental stimuli on nonbusiness visitors' emotions. Moreover, the moderating effect of visitors' expectations remains understudied in the context of trade show management. To address this issue, this study reports on research derived from 611 respondents at a Taiwanese tourism trade show through a modified Mehrabian–Russell model. Structural equation modeling of the data shows that positive emotions positively influence behavioral intentions, but negative emotions do not negatively influence behavioral intentions. Among the three stimuli (i.e., information rate, service staff quality, and atmospherics), only information rate and service staff quality positively affect positive emotions and negatively affect negative emotions. The results show that visitors with high and low trade show visit expectations react differently to environmental stimuli at trade shows.

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“…Customer trust in a brand is an essential component of relationship marketing. Brand benefits can enhance customers' trust and loyalty (Lee, Ha, & Widdows, 2011). Brand trust is one means to reduce uncertainty when customers feel vulnerable (Chaudhuri & Holbrook, 2001).…”

Section: Brand Trust and Brand Credibilitymentioning

confidence: 99%

“…Brand loyalty is linked with number and frequency of repeat purchases, quantity of the product purchased, and the price consumers are willing to pay (Chaudhuri & Holbrook, 2001). Brands that reliably provide a unique functional and emotional experience can encourage consumers' brand loyalty (Lin, 2010) and brand trust (Lee & Widdows, 2011). Brand credibility refers to "the believability of the product information contained in a brand, which requires that consumers perceive that the brand has the ability (i.e., expertise) and willingness (i.e., trustworthiness) to continuously deliver what has been promised" (Erdem & Swait, 2004, p.192).…”

Section: Brand Trust and Brand Credibilitymentioning

confidence: 99%

Brand relationships and risk: influence of risk avoidance and gender on brand consumption

Lee

Workman

Jung

2016

Journal of Open Innovation: Technology, Market, and Complexity

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Recent brand relationship research has paid attention to brand love, brand credibility, and brand loyalty. In market and society, various collaborations and co-creations derived from brand relationships generate various social network markets and open business innovations. Brand relationships and collaborative forms heavily depend on risk taking or risk avoidance. However, few studies have examined how brand relationship is related to risk avoidance. The purpose of this study is to investigate the influence of risk avoidance and gender on brand trust, brand credibility, brand loyalty, and brand choice overload. We review relevant literature on brand relationship and risk avoidance and develop research hypotheses about brand relationship and risk. We find that consumers' risk avoidance influences brand trust, brand credibility, brand loyalty, and brand choice overload. We suggest implications about how brand relationships can promote social network markets and open business innovations through social construction process.

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Consumer responses to high-technology products: Product attributes, cognition, and emotions

Cited by 199 publications

References 40 publications

The effects of trust transference, mobile attributes and enjoyment on mobile trust

The effects of trust transference, mobile attributes and enjoyment on mobile trust

The Effects of Trade Show Environments on Visitors

Brand relationships and risk: influence of risk avoidance and gender on brand consumption

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