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The selection of purchasing channels by wine consumers indirectly affects buying experience and satisfaction, therefore, it is of great practical significance to study consumers' preference on channel selection. The purpose of this study is to investigate the current state of consumer selection for purchasing channel and the corresponding influencing factors.

A total of 2,976 valid questionnaires were collected by convenience sampling from 34 provinces, municipalities and autonomous regions of China in 2020 via the Internet, yielding a response rate of 82.2%. A categorical statistical approach was used to understand consumer's selection for each channel. Besides, binary logistic regression model was used to analyze the factors affecting consumers' channel selection.

The results show that Chinese wine consumers' main purchasing channels are as follows: supermarket/mall, wine specialty stores, comprehensive e-business flagship stores, comprehensive e-business individual stores, restaurants and short video and live streaming platforms. Estimation results showed that among the 12 influencing factors in 4 categories, consumers' education and some other factors significantly influenced consumers' decision on wine purchasing channels.

Limited by time and experimental conditions, this study did not analyze the trend of wine consumers' purchasing channel selection. Future work would concentrate on multi-year data and conduct longitudinal comparative analysis.

This study innovatively subdivides the currently popular wine sales channels in Chinese market and conducts research related to consumer channel selection. The results of the study can provide reference for wine producers and distributors to update their strategic layout and also help various channels to understand the characteristics of their customer groups for targeted marketing.

This study aims to examine the influence of attitudes toward particular clothing web sites, specifically favorite ones, on information search at those web sites and on the choice to purchase items from those web sites and from non‐internet channels after finding the items at the web sites.

Using survey data from 414 US college students who had online shopping experience and favorite clothing web sites that they especially like to visit, hypothesized relationships among attitude toward internet web sites, online information search and channel choices for purchasing were tested using path analysis.

Results showed that participants' attitudes toward their favorite clothing web sites had a direct, positive effect on their intentions to search for information at those web sites as well as intentions to purchase clothing items from those web sites after finding the items there. Additionally, operating through information‐search intentions at the web sites, participants' attitudes toward those web sites had an indirect, positive effect on their intentions to purchase clothing items from non‐internet channels after finding the items at the web sites.

Results cannot be generalized to the larger population of young consumers and to other consumer groups. Future research should include other population groups.

This research provides insights into how college students' attitudes toward internet web sites affect their information search at the web sites and their channel choices for purchasing. Our results suggest potential benefits of multi‐channel retailing for online clothing retailers targeting US college students and the importance of building effective web sites to elicit those consumers' positive attitudes toward the web sites.

This study is the first to investigate young adult online shoppers' attitude towards internet web sites and their information search and channel choices for purchasing.

Purchasing behaviour across traditional retail and internet routes to market is becoming increasingly integrated. The positive and negative consequences of such behaviour for multi‐channel businesses have not been thoroughly examined – while an offline retail presence may reassure customers purchasing from an online channel, poor service online may negatively influence customer usage of an offline channel. This paper aims to address this issue.

A questionnaire survey of the online customers of four companies is employed and structural equation modelling used to investigate influences of demographic and behavioural variables (purchase involvement, loyalty, experience with the internet, company and product‐type) on positive and negative cross‐channel behaviour (CCB).

Strong evidence for both positive and negative customer CCB is found. Females, higher purchase involvement, higher loyalty and those with more experience of the company were more likely to display positive CCB; higher education, experience with the product type and online channel negatively influenced positive CCB. Increased age, education, occupation/class and purchase involvement lead to more negative CCB; product and company experience lead to reduced levels of negative CCB.

As a first step towards understanding of customer CCB the research generates many insights; however, more research is required to explore in more depth each of the constructs discussed and measured.

Understanding how different customer groups display different tendencies for CCB can help companies shape fulfilment and delivery strategies across different channels to market.

The study makes contributions to customer cross‐channel customer behaviour, developing implications for future research as well as management practice.

Besides having an important place in the daily lives of today’s consumers, technology impacts consumer behavior in variety of ways such as giving direction to their buying behavior, changing the characteristics that they expect from a product and the value they perceive, and influencing their satisfaction about the product. When omnichannel marketing is analyzed in this respect, it is an important issue that should be considered for the success of the marketing activities of the enterprises. This chapter will explain the single channel first and then multichannel marketing and omnichannel marketing concepts. The potential effects of omnichannel usage on issues about consumer behavior such as brand loyalty, customer satisfaction, perceived brand value, and buying behavior will be explained in detail. Then, the characteristics of the consumers using omnichannel and the factors affecting the success of these continents in terms of both consumers and businesses will be discussed. In this chapter, omnichannel marketing application examples will also be discussed in detail.

The aim of this research is to advance the understanding of multi-channel behaviour in terms of different generational cohorts' usage and spending patterns.

Building on previous studies on multi-channel behaviour, differences in shopping channel usage and purchase amounts were investigated between baby boomers, Gen X, xennials and millennials.

There were significant differences found between the generations in terms of multi-channel behaviour regarding purchasing frequency and average purchase amounts via a) mobile phone, b) tablet, c) computer, d) social media and e) brick-and-mortar. Fewer differences were found amongst the generational cohorts in terms of amount spent per channel.

The research was successful in analysing variances in multi-channel behaviour amongst the baby boomer, Generation X, xennial and millennial cohorts, while updating the body of literature to consider generational channel usage of mobile and social media in multi-channel retailing.

Marketers should consider xennials’ channel behaviour and focus on converting sales through integrated programmes based on their channel usage. Retailers should also consider millennials' heavy engagement with social media in their lives but spend lower amounts via the medium, which may be an opportunity to use this medium as a viable stand-alone channel in targeting millennials' shopping dollars.

This study updates the body of research on multi-channel behaviour by considering generation as a factor in channel usage and spend amount.

The purpose of this paper is to investigate the topic of multi-channel retailing. Specifically, the research intends to determine if and to what extent the opening of physical stores by a former web-only retailer reduces or extends overall retail sales, and whether such effects tend to change over time. Empirical analysis focuses on data elaboration from a retailer who has passed from the initial mono-channel model (pure online), to a multi-channel one with the opening of stores.

Through the analysis of an internal data set of a leading consumer electronics retailer applying Probit and Logit estimation techniques, the authors extract information about actual customers’ purchases (or rather retail sales) in three newly opened stores and about online purchases (through an e-commerce web site managed by the same retailer with the same store brand) by people living in the new store service areas before and after the openings.

The paper shows that, for the single customer, the probability of purchasing online is reduced by the store opening in the short term, but tends to increase in the long term. Besides, results indicate that long-term synergy between the two channels depends mainly on indirect influence due to the mere presence of the store brand in the area rather than on the direct experience of shopping in the store.

The study highlights that channel portfolio enlargement from mono- to multi-channel retailing tends to activate a sort of life cycle; while in the early phase of store addition web sales tend to be cannibalized because the two channels are perceived as “substitutes” for each other, in the long run migration turns into a synergy effect; different channels tend to interact with and reinforce each other as customer touch points of the same retailer, in an omni-channel perspective.

The paper herein presents various original elements concerning types of available data (actual sales rather than consumers’ intentions/perceptions and individual level data rather than aggregate level ones), estimation technique used (binary choice model) and research hypotheses (distinguishing between “direct” and “indirect” synergy effects in multi-channel retailing).

Consumers display complex shopping behaviors in the multichannel environment, which includes traditional retail stores and the internet. The purpose of this paper is to examine the effects of the customer-sales associate relationship, customers’ receptiveness to online store shopping, and their interaction effects on the customer’s attitude toward multichannel shopping behavior when the firm decides to establish an online store as the online channel. The authors also examine how customers’ multichannel shopping behavior affects their future spending intentions.

Survey data were collected by soliciting 231 customers who purchased cosmetics in department stores within the past three months. Subjects were asked to give their overall evaluation of their offline and online shopping experiences in the last three months.

Results show that the customer-sales associate relationship significantly reduces customers’ attitude toward searching offline but purchasing online. Receptiveness to online store shopping has significant effects on customers’ attitude toward multichannel shopping behaviors regardless of whether they search or purchase via the online channel. The customer-sales associate relationship also moderates the relationship between customers’ receptiveness to online store shopping and multichannel shopping behaviors. Finally, unlike other types of online and offline multichannel shoppers who display higher future spending intentions when the physical store decides to open an online store, those who prefer physical stores for both information searching and product purchasing display lower spending intentions.

To the best of the authors’ knowledge, this paper is the first to use customer-sales associate relationships to investigate consumers’ attitude toward multichannel shopping behavior. The findings provide meaningful implications for service providers that use sales associates to increase consumers’ value via face-to-face service, but find it challenging to go online.

Extant research has examined consumer acceptance of the internet in various contexts mainly as a dichotomy (adoption/non‐adoption), thus ignoring the process underlying adoption. This paper aims to provide insights into factors determining the extent to which an innovation is adopted.

The paper reviews the literature on the technology acceptance model (TAM), and justifies the use of this model to explore the factors contributing to the extent to which consumers use the internet as a distribution channel for financial services (FS). Data are collected through telephone interviews with 300 UK consumers responding to a questionnaire.

The application of the TAM model is helpful but additional links need to be included. The key drivers of extent of use are past experience with the internet as a purchasing channel (for non‐FS) and attitudinal aspects, i.e. positive emotions towards the internet as a distribution channel for FS. Insecurity about this channel does not appear to be an obstacle and perceived usefulness is not directly linked to extent of use but fully mediated via attitude towards the channel. Consumers with computer access from home, those with an active interest in FS, as well as consumers who have general online purchasing experience tend to find this channel easy to use, which, jointly with perceived usefulness, leads to a positive attitude toward this distribution channel.

The findings are limited to the FS online retail context and may not be generalisable beyond this context. Future research should be considered using a longitudinal approach.

FS retail providers should consider prior experience with the internet as a distribution channel and product category involvement as segmentation bases, and also provide more opportunities for consumers to try and observe the internet as a distribution channel.

This research explores the determinants of consumer acceptance of online retailing from a process‐based rather than a binary view of adoption of an innovation.

Digital technology is revolutionizing insurance distribution allowing the insurer companies to reach customers via multichannel. The aim of this study is to segment potential customers of life insurance based on their information search, purchasing channels and personal characteristics in the digital environment.

The study uses cross-sectional research survey. In total, 422 questionnaires were collected through a convenience sample of the Romanian population. The data was segmented based on consumer information touchpoints (online vs offline), purchase channel preference (offline by a professional vs online by a standardized platform) and personal characteristics (age, marital status and children).

The channel segmentation analysis revealed that information channel preferences are the most important clustering variables, followed by purchase channel preferences, marital status, having children and age. Four distinct segments were identified: young fully offliners (23.7%), mature fully offliners (31.5%), committed online searchers (23.2%) and cross-channel onliners (21.6%).

Insurance companies should adapt their communication and distribution strategy based on multichannel segmentation and should focus on digital touchpoints with costumers.

Firstly, the paper reveals multichannel and hybrid segmentation for life insurance. Secondly, it extends the already studied retail channels with search engines and companies' websites. Thirdly, it extends the behavioural variables for channel segmentation with technology acceptance behaviour, attitude towards life insurance, knowledge about life insurance, attitude towards personal selling and quality appraisal of online information sources.