Developing parsimonious retailer equity indexes using partial least squares analysis: a method and applications

Arnett, Dennis B.; Laverie, Debra A.; Meiers, Amanda

doi:10.1016/s0022-4359(03)00036-8

Cited by 233 publications

(288 citation statements)

References 26 publications

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“…Consumer-based retailer equity, like brand equity, is a multi-dimensional concept including retailer awareness, retailer associations, service quality, and store loyalty (Pappu and Quester, 2006;Arnett, et al, 2003).…”

Section: Conceptual Model and Research Hypothesismentioning

confidence: 99%

“…In decision-making it plays a critical role as it reflects the consideration set of the consumer and influences the formation and strength of a store association in store image. In conceptualizing brand equity, awareness and associations were treated as a combined dimension; however, in conceptualizing retailer equity both were considered as distinct dimensions (Pappu and Quester, 2006;Arnett et al, 2003).…”

Section: Retailer Awarenessmentioning

confidence: 99%

“…There are again different approaches in conceptualizing retailer associations. Arnett et al (2003) define retailer associations related to "product quality" and "perceived value," while Pappu and Quester (2006) define them on the basis of "retailer image." In this study, both approaches were taken into consideration since including more indicators improves the conceptualization of retailer association (Pappu and Quester, 2006).…”

Section: Retailer Awarenessmentioning

confidence: 99%

“…In the literature there are two measurement models developed for retailer equity: one is built on the basis of brand equity (Pappu and Quester, 2006), and the other is built on developing a retailer equity index (Arnett et al, 2003). In both measurement approaches, consumer-based retailer equity is taken as a multi-dimensional concept.…”

Section: Retailer Loyaltymentioning

confidence: 99%

“…The consumer-based retailer equity scale was developed through the studies of Arnett et al (2003), Pappu andQuester (2006), andlaczniak et al (2003). In total 27 variables were included in the study.…”

Section: Measurement and Data Collectionmentioning

confidence: 99%

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Determining Consumer-Based Retailer Equity and the Discrimination of Frequent Shoppers: An Empirical Study

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Yeniçeri²,

Akturan³

2008

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Section: Conceptual Model and Research Hypothesismentioning

confidence: 99%

Section: Retailer Awarenessmentioning

confidence: 99%

Section: Retailer Awarenessmentioning

confidence: 99%

Section: Retailer Loyaltymentioning

confidence: 99%

Section: Measurement and Data Collectionmentioning

confidence: 99%

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Determining Consumer-Based Retailer Equity and the Discrimination of Frequent Shoppers: An Empirical Study

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2008

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Mall Haul Videos: Self‐Presentational Motives and the Role of Self‐Monitoring

Harnish

Bridges

2016

Psychology and Marketing

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Mall haul videos or vlogs are short videos in which young women not only present their fashion and beauty purchases but express their evaluations and opinions as well. The attitudes expressed could help the vlogger reap social rewards from a reference group or demonstrate the consistency between privately held attitudes and publicly expressed ones. In four studies, using the self‐monitoring construct to identify which function an attitude may serve for an individual, the self‐monitoring propensity of mall haul vloggers and the social‐adjustive and value‐expressive functions that posting and watching such vlogs fulfill for the individual was explored. In the first study, those who post and do not post mall haul vlogs were surveyed and results suggested that more high self‐monitors than low self‐monitors posted mall haul vlogs. In Study 2, a content analysis was conducted and revealed that low self‐monitors in comparison to high self‐monitors mentioned more brand names in their mall haul vlog. In Study 3, the valence of the product evaluations conveyed in mall haul vlogs by high and low self‐monitors was analyzed. High self‐monitors generated more positive messages than low self‐monitors. Finally in Study 4, the links between self‐monitoring on individuals’ willingness to watch rather than post mall haul vlogs were examined. High self‐monitors were more likely to watch a mall haul vlog when the retailer mentioned was perceived to possess high status (compared to medium or low status); while low self‐monitors were more likely to watch a mall haul vlog when the retailer mentioned was perceived to possess low status (compared to medium or high status). Across all four studies, results indicated that mall haul vlogs were fulfilling a social‐adjustive function for high self‐monitors whereas they were fulfilling a value‐expressive function for low self‐monitors. Implications for marketing are discussed.

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What drives consumers' intention to purchase self‐driving cars

Wang,

Chiu,

Wei

et al. 2024

Manage Decis Econ

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This study endeavors to examine the factors influencing consumers' intentions to purchase self‐driving cars. The data collected from 174 respondents underwent analysis using the partial least squares technique. The findings reveal that relative advantage, compatibility, trialability, and observability significantly impact consumer attitudes. Additionally, consumer attitude, subjective norm, and perceived behavioral control were identified as significant influencers of the intention to purchase a self‐driving car. Furthermore, achievement vanity was observed to moderate the effect of observability on consumer attitude. These results offer critical theoretical insights and practical implications for the adoption of self‐driving cars.

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Developing parsimonious retailer equity indexes using partial least squares analysis: a method and applications

Cited by 233 publications

References 26 publications

Determining Consumer-Based Retailer Equity and the Discrimination of Frequent Shoppers: An Empirical Study

Determining Consumer-Based Retailer Equity and the Discrimination of Frequent Shoppers: An Empirical Study

Mall Haul Videos: Self‐Presentational Motives and the Role of Self‐Monitoring

What drives consumers' intention to purchase self‐driving cars

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