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This paper aims to propose a conceptual model to examine the effect of an augmented reality (AR)–based product display (vs a picture-based product display) on interactivity, vividness, website quality and consumer responses. In addition, the moderating role of the need for touch (NFT) in the effect of AR on media features is identified.

Hypotheses are tested using a one-factor between-subjects design for both a student sample (Study 1, N = 120) and a nonstudent sample (Study 2, N = 272). Data are analyzed using a series of analyses of variance, multivariate analyses of covariance and structural equation modeling.

Study 1 shows that an AR-based product display generates greater website quality, interactivity and vividness than a picture-based product display. Moreover, an AR-based product display improves interactivity and vividness only for high-NFT consumers; however, no significant difference emerged for low-NFT consumers. Study 2 replicates and extends our findings by identifying the specific processes that consumers go through when evaluating a website.

The current research advances the understanding of how product presentation technologies can attract customers with different haptic orientations and provides practical implications for online retailers interested in improving their customers' e-commerce experience.

The apparel manufacturers that service apparel products, also known as fashion products, have been challenged by turbulent and volatile changes within the market over the past 30 years. Changes in the business environment in the U.S. apparel manufacturing industry and the reactions of associated firms have continued to affect the profile of this industry. In this research, we documented the historical changes in the U.S. apparel manufacturing industry, from 1973 to 2005, and examined the impact of the business environment on strategies during this time. A mixture of positivism and phenomenology techniques was used within the scope of the historical review to achieve the study's purposes. The conceptual framework developed from theories about environmental determinism or adaptation provided support for data collection and organization. The results present an in-depth exploration of three environmental factors (i.e., globalization, technology, consumer) for the U.S. apparel manufacturing industry, a listing of the implemented business strategies for U.S. apparel manufacturing firms, and the interrelation of the environmental factors to these resultant strategies.

The purpose of this study is to identify shopper segments based on benefits sought from TV home shopping and profiled the identified segments in consumer characteristics and market behaviors.

A sample of 887 consumers who had watched a TV home shopping channel was used. The analyses involved running a factor analysis based on benefits sought, a cluster analysis based on the identified factors, and χ ²test and ANOVA for profiling the segments.

Four benefit segments of TV home shoppers were identified: convenience seekers, product‐oriented shoppers, uniqueness seekers, and apathetic shoppers. Each consumer segment exhibited significant differences in demographic characteristics (i.e. gender, age, education level), consumer characteristics (i.e. time‐consciousness, price‐consciousness), and behavioral outcomes (i.e. satisfaction with TV shopping, repurchase intention).

This study confirms that benefit segmentation can be a useful tool for targeting TV home shoppers. However, the findings of the current study should be interpreted with caution due to non‐random sampling method and limited number of scale items for benefits sought and variables used in describing segments.

The results provide marketing suggestions for each of the benefit segments of TV shoppers.

Considering that virtually no benefit segmentation research has been conducted on TV shoppers, this study provides a new perspective to the segmentation of TV home shoppers.