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The study aims to examine fast fashion consumers' negative in-store experiences focusing on the effect of the two store environment factors, product overload and store ambiance, on their confusion and consequent shopping avoidance behavior.

A research model of fast fashion consumers' confusion and store avoidance behavior is proposed using the Stimulus–Organism–Response framework. A pretest and the main online survey with 281 samples are analyzed, and the structural equation modeling (SEM) is conducted to test the proposed model.

The SEM results support the proposed paths statistically. Consumers' confusion, measured with the two dimensions, inefficiency and helplessness, is significantly influenced by their perceived product overload and negative perception of store ambiance in the fast fashion shopping environment. Subsequently, fast fashion consumers' confusion results in less time spent in the store.

The study sheds light on utilitarian shopping value in the fast fashion shopping environment by focusing on the fast fashion consumers' confusion in association with overloaded information caused by too many products and store ambiance.

The study implies that improving fast fashion stores' inherent issues with too many products and store ambiance might help consumers mitigate their confusion and prevent customer attrition. However, the study includes only two factors. Future studies may include other various fast fashion store factors. Additionally, one of the dimensions of confusion, irritation, did not emerge in this study. More work is needed to investigate fast fashion consumers' confusion, such as using a multigroup analysis by age.

The purpose of this study is to understand how consumers' green trust and green brand equity (GBE) vary by perceived brand greenness and age in the US market from the lens of brand knowledge (brand awareness and brand image).

Three multiple-group comparisons of structural equation modeling were used to analyze the data collected from a questionnaire. An experimental design was applied (high vs. low perceived brand greenness). A total of 440 usable responses were collected from an online consumer panel. With a higher percentage of participants older than 60 years, two groups were used, younger (under 55) and older (over 55), within each brand condition to conduct age comparisons.

Consumers' previous brand experience is important. The most promising indicators are brand image and green trust for GBE. A difference was observed between the group comparisons. For the less perceived green brand, existing brand image played a more important role in the process, and there is a need to enhance its green trust. For the higher perceived green brand, more factors should be included to explain their GBE, especially for consumers under 55.

This study identified two moderators, perceived brand greenness and age, in the formation of GBE, which has not been widely explored in the literature. The findings provide significant insights for generational cohorts, focusing for the first time on the joint catalyst effect of greenness and age regarding the influence of GBE on consumers' commitment to green brands. Additionally, the fact that a higher percentage of participants are Baby Boomers enables this study to add to the existing body of literature and bring unique perspectives to understand their and their younger counterparts' attitude toward green consumption.

To comprehend tablet catalog marketing, the purpose of this paper is to obtain an integrated descriptive analysis of tablet catalogs and to compare the value propositions between retailers’ and aggregators’ applications (apps).

A total of 28 tablet catalog apps were content analyzed in terms of interface attributes. Next, based on the results, a χ2 analysis was applied to compare the value proposition between retailers and aggregators.

The result showed that the value propositions of retailers and aggregators were significantly different in the Context, Customization, and Communication dimensions. In addition, the incongruence of emphasized dimensions among retailers is larger than that among aggregators.

Because mobile commerce exhibits fast-changing dynamics, the results from collected data may vary in different periods. However, the present results may provide a baseline of longitudinal study. The 8Cs framework expanded from the 7Cs framework may be applied to other studies.

Retailers who attempt to engage in tablet catalog marketing may use the information and findings to facilitate their decision making. The list of the attributes can be a benchmark for a retailer to evaluate its current tablet catalog app or be a reference for those retailers who are planning to develop one.

This study identified and demonstrated a need of adding a new “C,” Control, in the previous framework and introduced the expanded framework. In addition, this study provided a set of findings for further research in the area.