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When purchasing digital content (DC), consumers are typically influenced by various information sources on the website. Prior research has mostly focused on the individual effect of the information sources on the DC choice. To fill the gap in the previous studies, this research includes three main effects: information cascades, recommendations and word of mouth. In particular, the purpose of this paper is to focus on the interaction effect of information cascades and recommendations on the number of software downloads.

The authors use the panel generalized least squares estimation to test the hypotheses by using a panel data set of 2,000 pieces of software at download.cnet.com over a month-long period. Product ranking and recommendation status are used as key independent variables to capture the effects of information cascades and recommendations, respectively.

One of this study’s findings is that information cascades positively interact with recommendations to influence the number of software downloads. The authors also show that the impact of information cascades on the number of software downloads is greater than one of the recommendations from a distributor does.

Information cascades and recommendations have been considered as the primary effects for online product choices. However, these two effects typically are not considered together in one research. As previous studies have mainly focused on each effect, respectively, the authors believe that this study may fill the gap by examining how these effects are interacted to one other to influence customers’ choices. The authors also show that the impact of information cascades on the number of software downloads is greater than one of the recommendations from a system does.

As consumers spend more time shopping online, traditional retailers are facing a decline in on-site shoppers. To help the industry in the omnichannel era, we propose that a virtual tour of a store could affect brand equity and promote store visit intentions, based on a well-established brand experience account.

The virtual tour stimuli were created using 360-degree photos of real stores. Participants explored the store virtually and then completed an online survey. With 240 responses drawn from the general population in the US, structural equation modelling (SEM) was used.

Results showed that store brand experiences significantly affected consumers and the four brand experience dimensions exerted differentiated effects. Sensory and behavioural experiences directly increased intentions to visit the store, whereas intellectual and emotional experiences promoted visit intentions via enhanced brand equity.

This is the first retail study investigating a virtual tour through the lens of brand experience. It is also one of a handful that examined the distinctive effects of the four brand experience dimensions, which deserve scholars’ attention and further inquiry. The virtual tour can be a powerful branding tool in the online-dominant retailing era. Retailers can employ a virtual tour not only to increase brand equity but also to cultivate consumers’ intentions to visit their stores. Furthermore, the use of 360-degree interactive media to evoke the virtual experience of a store renders higher generalizability and extendibility in future research and practice.

The purpose of this paper is to investigate how geographic cues embedded in a website affect Chinese consumers’ cross-border shopping experiences. The study simultaneously explores the effect of telepresence on shoppers’ perceptions of product authenticity and their trust in retailers, key drivers of behavioral intentions.

Two experimental conditions were utilized. Geographic cues depicted a famous shopping district in the retailer’s country (South Korea) or the shopper’s country (China). Study participants were female Chinese consumers in their 20s and 30s who had purchased Korean fashion products in the past (n=236). Structural equation modeling was conducted using AMOS 21.0.

Results indicate that participants in the “retailer’s country” experimental condition experienced higher telepresence and greater perceptions of product authenticity. Furthermore, telepresence increased participants’ trust in the retailer and perceived product authenticity, which led to positive behavioral intentions.

Findings offer important implications for cross-border online retailing. First, results suggest a highly successful tactic for enhancing shoppers’ perceptions of product authenticity and retailer trust on a cross-border platform. Second, cross-border online business professionals should focus on the role of telepresence. Finally, this study provides insight about Chinese cross-border shoppers.

This study contributes to the literature on cross-border online shopping. It suggests that the strategic use of geographic cues on a website can provide an experiential benefit, telepresence, to cross-border shoppers. The study’s findings provide a novel insight into possible unique success factors in cross-border e-commerce.

This study aims to investigate the conceptual structure of fast fashion avoidance among young consumers in Korea. The effects of negative beliefs on the behavioural intention regarding fast fashion avoidance are empirically examined.

A conceptual model of fast fashion avoidance is proposed and tested based on the literature and blog analyses. Web‐based online survey data are analyzed by second‐order factor analysis and hierarchical regression.

The second‐order structure of eight negative beliefs is statistically supported. Among these negative beliefs, poor performance and deindividuation have positive effects on fast fashion avoidance. While inauthenticity has a negative effect, big store discomfort and foreignness have an interaction effect with regards to the lack of alternatives.

The results are based on convenient sampling of young female adults. However, it is tested in Korea, of which global fast fashion retailing is in its growing stage.

This study represents a new attempt to apply the concept of brand avoidance to an explanation of fast fashion avoidance, and test it using empirically‐collected survey data.

The purpose of this paper is to conceptualize luxury customer value and empirically test the reliability and validity of the proposed structure of it. In addition, it aims to identify luxury customer value factors that influence brand relationship and behavioural intention.

A thorough literature study produces a comprehensive model of luxury consumer value. For an empirical test of the model, a web‐based on‐line survey is performed using a consumer sample in Korea. Statistical tests including CFA, second order factor analysis and structural model testing using covariance analysis are conducted.

The findings show that the luxury customer value represents a second‐order construct. The results provide satisfactory support for the four‐value structure model composed of utilitarian, hedonic, symbolic and economic values. Utilitarian value includes excellence and functional values, whereas hedonic value encompasses aesthetic, pleasure and experiential values. Symbolic value is reflected in self‐expressive and social values. Regarding the effect of luxury customer value on relationship quality, customers who perceive high symbolic, economic and functional values for luxury brands are more likely to develop a positive relationship with the brands.

In an attempt to confirm the luxury customer value structure in an emerging economy under a collective culture, this study expands previous studies on the conceptualization of luxury customer value. Through the empirical phase of the study, measures with both high reliability and validity for luxury customer value are produced, which will provide great benefits for further studies in the subject area. The association between customer value and brand relationship is examined.

The purpose of this paper is to investigate the effect of a fashion store’s visual complexity on consumers’ behaviour. Considering environmental order and individuals’ sensation-seeking tendencies, the authors examine the effect of visually complex fashion stores on consumers in a more conclusive way to address the inconsistent effect found in the previous literature.

This study features a 3 (visual complexity level: low, medium, high) × 2 (environmental order condition: low, high) between subjects design, with individual sensation-seeking tendency included as a moderator. Using this design, an online survey was administered to 188 participants in South Korea.

The results indicate that there is a three-way interaction, where the interaction effect of visual complexity and environmental order is moderated by individuals’ sensation-seeking tendency. The effect of visual complexity on approach behaviours had an inverted U-shape in the low-order condition, while had a positive linear shape in the high-order condition, and the interaction effect was significant only for high-sensation seekers.

The findings assist practitioners in establishing strategies for visual merchandising and store design within fashion stores. It is suggested that retailers consider environmental order when organising a large amount of varied merchandise in a complex environment. Store managers must adjust the complexity and environmental order to meet the optimal stimulation level of their target consumers.

This study strengthens the literature on visual complexity by applying the concept to the retail environment. The results provide a significant contribution to the literature because they show how individual-level and store-level variables interact to influence consumer behaviour.

A recent study by Reimers et al. (2016) suggests that the attitude-behaviour gap, as it applies to ethical clothing, may be due to academics having defined it differently to the way that consumers do. The purpose of this paper is to serve as a direct follow-up to that study by employing their consumer-based definition in order to help identify the clothing attributes that influence the purchase of ethical clothing.

A consumer household sample in combination with a quantitative survey approach was used to collect the data, while structural equation modelling was used to analyse it.

In spite of the ethical clothing context, only two of the four ethical clothing dimensions were found to influence consumer attitudes. In contrast, all three conventional dimensions were found to be significant.

Ethical clothing has typically been operationalised using just two of these four dimensions. Ironically, one of the two dimensions often overlooked by academics, slow fashion, had one of the strongest influences on consumer attitudes. In addition, the cost of buying ethical clothing has often been defined in unidimensional terms; typically price. This study adopted a broader conceptualisation, defining it in terms of price, time and effort, and found it to serve as a salient influence over consumers’ attitudes to ethical clothing.

Despite supposed widespread consumer support for ethical clothing, it still often fails to translate into actual purchase. The purpose of this paper is to determine whether the way in which academics have defined and measured ethical clothing could account for this.

An over reliance on convenience sampling and the use of student samples has also been touted as a possible reason for this attitude-behaviour gap. To address this, this study employed a consumer household sample. It also used a quantitative survey approach to collect its data and structural equation modelling to analyse it.

In contrast to the way in which academics have conceptualised the construct, consumer perceptions of ethical clothing were found to be influenced by four dimensions: environmental responsibility, employee welfare, animal welfare and slow fashion attributes.

Ethical clothing has typically been operationalised using just two of these four dimensions. Ironically, one of the two dimensions often overlooked by academics – animal welfare – had the strongest influence on consumer perceptions. Previous academic efforts had never employed more than three dimensions, and yet the results of this study suggest that all four must be present if an item of clothing is to be regarded as “ethical”.

This paper aims to Separation and sorting of biological cells is desirable in many applications for analyzing cell properties, such as disease diagnostics, drugs delivery, chemical processing and therapeutics.

Acoustic energy-based bioparticle separation is a simple, viable, bio-compatible and contact-less technique using, which can separate the bioparticles based on their density and size, with-out labeling the sample particles.

Conventionally available bioparticle separation techniques as fluorescence and immunomagnetic may cause a serious threat to the life of the cells due to various compatibility issues. Moreover, they also require an extra pre-processing labeling step. Contrarily, label-free separation can be considered as an alternative solution to the traditional bio-particle separation methods, due to their simpler operating principles and lower cost constraints. Acoustic based particle separation methods have captured a lot of attention among the other reported label-free particle separation techniques because of the numerous advantages it offers.

This study tries to briefly cover the developments of different acoustic-based particle separation techniques over the years. Unlike the conventional surveys on general bioparticles separation, this study is focused particularly on the acoustic-based particle separation. The study would provide a comprehensive guide for the future researchers especially working in the field of the acoustics, in studying and designing the acoustic-based particle separation techniques.

The study insights a brief theory of different types of acoustic waves and their interaction with the bioparticles is considered, followed by acoustic-based particle separation devices reported till the date. The integration of acoustic-based separation techniques with other methods and with each other is also discussed. Finally, all major aspects like the approach, and productivity, etc., of the adopted acoustic particle separation methods are sketched in this article.