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This study aims to identify, within the context of the French fashion industry, the characteristics of multichannel shoppers, that is, consumers who use more than one channel in a single shopping trip. We especially investigate whether consumers' focus on quality versus price affects their multichannel shopping tendency and their flexibilities in their shopping lists (basket flexibility).

We surveyed a representative sample of 400 French shoppers regarding fashion apparel purchasing. We use a logistic regression framework to measure the probability of a shopper becoming a multichannel shopper based on the key constructs and a battery of control variables.

The analysis shows that, in fashion buying, shoppers focused on quality and those with high basket flexibility have a higher probability of becoming multichannel shoppers. The probability becomes even greater when a shopper is both quality oriented and has basket flexibility.

We focus on the fashion apparel market for a deeper understanding of multichannel usage of products with both experience and search features. Future research can investigate other industries for higher generalizability.

Our research provides insights into multichannel fashion companies whose managements aim to effectively manage high-value customers who tend to use more channels when shopping. Specifically, an omnichannel marketing strategy should focus on capturing the quality-oriented and highly basket-flexible segment of consumers.

Our study provides evidence that for products having high experiential as well as search features, quality-oriented and highly flexible shoppers engage more in multichannel shopping. Because these characteristics are related to the long-term value of customers, we provide the link between multichannel marketing and firm profitability in the context of the fashion industry.

One key issue to be addressed in multichannel retailing strategies has to do with ensuring the consistency of the retailer offerings between the brick-and-mortar and the online stores to offer their customers a seamless experience. This study assesses whether perceived congruence may be relevant to identify segments of heterogeneous based on their online loyalty levels as well as other constructs and variables related to the customer relationship with the retailer for two different product categories.

From the responses of apparel and electronics multichannel shoppers to an online survey, a CHAID algorithm was performed to identify the most relevant congruence attribute(s) perceived by customers for predicting their loyalty levels toward the online store.

The results have allowed the identification of five segments of online shoppers, both for apparel and for electronics retailing, so that customers showing the highest scores in all congruence attributes also showed a higher loyalty toward the online store.

This study presents a first insight into the link between perceived congruence and online loyalty in retailing using a CHAID segmentation-based approach by differentiating various dimensions of perceived congruence for two product categories.

The results obtained allow for inferring a series of strategies and actions that retailers can adopt for improving perceived congruence between physical and online stores along with a series of dimensions, and ultimately, increase online loyalty.

As the interest of the literature on perceived congruence between offline and online stores is relatively recent, this exploratory research contributes to shedding light on the implications of specific congruence dimensions between the offline and the online store in terms of consumer online loyalty in all multicategory setting.

The purpose of this paper is to explore how multichannel customers evaluate overall satisfaction across distribution channels and what the antecedents are of such satisfaction.

A survey of bank customers in Taiwan was conducted. The total number of valid questionnaires was 479. Reliability and validity were tested. Maximum likelihood procedure of LISREL 8.8 was used to test the hypothesized structural equation model.

The findings indicate that the overall satisfaction in the multichannel environment is a critical determinant of customer retention and participation. The present study also develops the antecedents of multichannel satisfaction. In the multichannel environment, perceived multichannel service quality is positively related to satisfaction, while perceived channel switching difficulty is negatively related to satisfaction.

The present study employs the stimulus‐organism‐response (S‐O‐R) paradigm and the channel loyalty framework to better model customers' response to marketing activities in the multichannel distribution system.

The purpose of this paper is to present a multichannel segmentation approach to identifying customer segments based on actual customer channel usage in the post-purchase phase in the health insurance industry.

A multinomial regression model and count regression models were estimated to describe the profiles of customer segments and the frequency of channel usage based on generations and sociodemographic variables.

This study identified generational differences in channel usage. Single female customers from the Pre-Boomer or Baby Boomer generation and customers living in states with lower incomes are more likely to use call centres. Website users tend to live in regions with higher per capita income. Multichannel users are, on average, more frequent users of both the website and call centres. In terms of sociodemographics, they display a more heterogeneous profile.

The proposed segmentation needs to be enriched with additional variables such as customers’ health status or channel usage motivations.

Customers, who are male, married and from Generations Y and X, are more likely to use the website. Their propensity to switch to a digital channel could be investigated further to develop targeted migration strategies. Multichannel users are, on average, more frequent users of all channels. To avoid increased channel costs, segments should be analysed in terms of their size and profit potential to help allocate marketing investment more efficiently.

As opposed to existing research, the proposed segmentation approach is based on transactional data of channel usage from a real company, combined with analyses using generations and sociodemographic variables.

The purpose of this paper is to understand the role of multichannel integration quality in enhancing online perceived value and online purchase intention via the online store operated by a land-based retailer.

This paper develops a research model based on the “quality-value-purchase” chain, with four dimensions of multichannel integration quality as antecedents and three dimensions of online perceived value as mediators of online purchase intention. Empirical data were collected from 390 multichannel shoppers and structured equation modeling was used to test the research hypotheses.

Among the four multichannel integration quality dimensions, transparency of service configuration, process consistency and business ties positively affect online purchase intention through online perceived value, whereas the effects of information consistency are not significant; process consistency exerts a stronger influence on online perceived value than business ties; the effect of online convenience on online purchase intention is weaker than that of online monetary savings and online hedonic value.

The study identifies the theoretical principles of the relationships among multichannel integration quality, online perceived value and online perceived value in multichannel context. Based on these theoretical principles, this study will help researchers to better understand consumers’ online purchase intention and the creation of online perceived value in the integrated multichannel context.

The findings of this study can provide retailers with useful strategies to increase online purchase intention depending on improvement of multichannel integration quality and online perceived value.

This study provides a first study to empirically assess various types of online perceived value attached to multidimensional properties of multichannel integration quality and the corresponding effects on online purchase intention. Overall, the results offer insights of how land-based retailers could manage their online performance by integrating multiple channels and improving online perceived value.

As competition has been rising tremendously in the emergence and realization of globalization, some business models with regard to retailing have changed. In this sense, there has been a huge introduction to new terms and concepts related to omnichannel operations, mainly focusing on new trends in multichannel strategies. With the aid of recent technologies and changing lifestyles of customers, there exists an obvious change in shopper behavior. In this globe, multichannel operations have been detected as a means to differentiate products and services which might in return add a potential value to the success of omnichannel management strategies thereby bringing a huge value to customers. This chapter discusses main terms and terminologies, along with common practices, on how customer preferences of multichannel operations have evolved throughout the years of competition and globalization while putting the main focus of concern in multichannel marketing attempts, changes in customer preferences in this trend, and the emergence of effective strategies that enhance the best fit of marketing management theories and practices in multichannel operations. Finally, the overall initiative of this chapter is to come up with some concrete strategies that might enrich the overall standing of omnichannel management operations and practices.

To date, most research focused on understanding the meanings and mechanism of gift giving behavior and there is little literature on channel usage behavior for gift shopping. The purpose of this paper is to examine the relationship between consumers' retail purchase experiences for their own use and their gift shopping for others in a multichannel retail context.

Using a self‐administered survey method, the paper obtained 171 usable responses from females in a large US Midwestern University. Data are analyzed employing descriptive statistics, correlation analysis, and structural equation modeling.

The findings of this paper showed that for all five retail channels (i.e. internet, mail‐order catalog, TV shopping, local stores, and non‐local stores), there are significant and positive relationships between consumers' product purchase experiences for their own use and their gift purchase experiences. Managerial and theoretical implications are provided.

Limitations of the present study include sampling, which prevent the generalization of results to all gift shoppers, and gift product categories focus on in the present study.

As little is known about the consumer gift shopping behavior in a multichannel retail environment, the study provides valuable strategy for multichannel retailers.

The purpose of this paper is to investigate cognitive and affective customer service in Thailand's maltichannel retail environment. The research used the stimulus–organism–response model of consumer behaviour. The study's theoretical framework incorporated the multichannel service quality framework (Sousa and Voss, 2006) and a decomposed measure of customer experience, including cognitive and affective customer experience (Gao et al., 2021). Outcomes investigated included repurchase intention and word-of-mouth intention.

A quantitative survey of Thai consumers (aged 18 and over) who had purchased from multichannel retailers at least one time in the past year (n = 502) was conducted. Data were collected online and analysed using a structural equation modelling approach.

Significant factors in cognitive customer experience and affective customer experience included breadth of channel choice, transparency of channel, content consistency and process consistency. Effects differed in strength on these effects. Cognitive customer experience and affective customer experience influenced repurchase intention and word-of-mouth intention, with a stronger effect from affective customer experience.

This research presents an integrative model for customer experience in multichannel marketing, incorporating a well-established model of multichannel service quality and a decomposed measure of customer experience. It also illustrates the difference between cognitive customer experience and affective customer experience, which have different effect sizes from antecedents and different effects on outcome variables. This finding is a significant theoretical advancement.

The purpose of this paper is to investigate consumer channel preferences and the motives that induce consumers to use a particular channel in a context of multichannel contact.

This paper analyses some factors that influence consumer behaviour in channel selection through an empirical study in the financial sector. Some hypotheses are presented and tested.

The paper reveals the influence of some variables (perceived convenience, social relationships, knowledge of channel and privacy) on the channel selected (counter, ATM or internet) for the performance of certain operations with the company.

To generalise these findings this study needs to be replicated in other geographical areas and companies.

The multichannel contact centre is one of the fundamental pillars of customer relationship management. It is not enough simply to have the necessary technology (hardware, software and telecommunications). Companies must investigate consumer channel preferences and the motives that induce consumers to use a particular channel.

This study is a reflection on the new environment of the relationship between companies and their clients due to the influence of new information and communication technologies. In this new context, knowledge of the consumer is as necessary as knowledge of the technology.

Drawing on open systems theory, this study aims to investigate the direct and moderating effects of information collaboration in the pre-sale stage, transaction management collaboration in the transaction stage and customer service collaboration in the post-sale stage on the linkages of the online–offline store image and the market performance of small sellers.

Data were collected from multiple sources, including self-reported and online objective data from 148 small restaurants that simultaneously sell online and offline, for validating the developed research model. Partial least squares-based structural equation modeling was used for data analysis.

This study illustrates the direct effects of an online store’s image and online–offline collaborations on the market performance of small stores. This study further reveals the boom-bust moderating effects of different collaborations between online–offline images and market performance.

Small stores should be aware of the importance of information congruence and functional integration concerning online–offline collaboration. They should also recognize the paradoxical intervening effects of online–offline collaboration on different channels and arrange appropriate collaboration tactics.

This study presents a significant contribution to the open systems theory by revealing both constructive and destructive properties of the online–offline collaborative system with offline-to-online targeting. Vertically differentiated online–offline collaboration may strengthen one side of the store image but weaken the other side for promoting the market performance of small stores.