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Drawing on the extant multichannel service quality literature and customer needs regarding the experiential value of online and offline shopping, the purpose of this paper is to examine the relationships among multichannel service delivery quality (MSDQ), customer experiences, continued engagement intentions and customer involvement.

A research model with five hypotheses was proposed. Data were collected from 911 Taiwanese consumers who had a minimum of two years of multichannel shopping experience. The consumers were asked to complete a survey about their experience with MSDQ. Structural equation modelling was adopted to analyse the data.

The results of the analysis suggest that MSDQ positively impacts customer experiences, which in turn influence their continued engagement intentions. Furthermore, the analysis found that customer involvement positively moderates the effects of MSDQ on customer experiences.

This study adopts the customer experience view to examine the effect of a holistic MSDQ design (including information transparency and accessibility and channel integration) on continued engagement intentions. By integrating a different conceptual lens, this study investigates the relationships among multichannel service quality, customer experiences and customer involvement, which adds alternative insights to the existing findings.

Managers must provide approaches to enhance the customer experiential values of utilitarianism, aesthetic appeal and playfulness; facilitate the information flow to be transparent and easily accessible; and provide different degrees of service based on customers’ experiences with their multichannel services to satisfy all consumers’ shopping needs.

The literature has focussed primarily on service providers’ technology capabilities and resources to design multichannel delivery systems. However, this study develops an MSDQ model and investigates its effects on customers’ experiences and continued engagement intentions.

This paper aims to investigate customers’ motivations and the decision-making process when choosing a channel in a “social” multichannel environment that includes social media channels, and the complementary and competitive effects compared to traditional channels within the multichannel strategy of a major European telecoms provider. A conceptual framework of multichannel customer behaviour in a “social” multichannel environment is proposed.

The study adopts an exploratory approach through 74 semi-structured interviews with customers of a major European telecoms provider who have also used social media channels to contact the company (customer-initiated contact, CIC).

Users of distinct social media channels are driven by different motivations. For instance, the social motivation for using social media is evident for Facebook users, while Twitter users are mainly driven by utilitarian considerations. Although users of different social media channels represent distinct segments in terms of behaviours and motivations, complementary effects among channels (new and traditional) are generally detected in the sense that a better customer experience is driven by the presence of multiple channels.

Data collection was performed for only one company in one industry and should be extended to other industries, although our results were confirmed by discussions with social media managers of other companies.

The research offers suggestions to develop multichannel strategies in a “social” multichannel environment.

This study advances knowledge in the multichannel management field by investigating why and how customers utilize channels in a multichannel environment that includes social media channels. The authors develop a conceptual framework of multichannel customer behaviour for CIC in a “social” multichannel environment.

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.

The purpose of this paper is to review state‐of‐art literature on adoption of CRM technology, including the CRM in multichannel environment and provide a comprehensive view of insights gained in this area of research through the bibliography.

All together, nine databases were searched on the basis of four main descriptors which provided identification of 812 articles. A close review of the abstracts of these articles led to selection of 123 articles which were found relevant. Each of these articles was further reviewed and classified based on the main channel of CRM implementation. The articles were further classified in sub‐categories under each main channel theme.

The selected articles were categorized under four main themes based on the channel – CRM, multichannel CRM, eCRM, mCRM. The articles in the CRM category were mainly focused on the strategic alignment along with research on increasing customer loyalty and use of data mining in CRM. Under the multichannel CRM theme the articles were further classified under eight categories – CRM (articles focusing on overall CRM implementation on multiple channels and related issues), eCRM (articles related to CRM implementation on online channel and its impact in multichannel environment), IT, Marketing, Sales, Service, Strategy, and Mixed (articles addressing two issues simultaneously: Marketing and IT).

The bibliography provides a comprehensive academic literature published between 2006 and 2010 covering all the channels of CRM implementation – traditional, electronic and mobile – along with studies specifically focused on issues dealing with multichannel environment.

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 purpose of this research is to explore the combining of marketing and organizational literature. This paper seeks to evaluate the relationships between multichannel coordination and customer participation, as seen through the lens of potential customer opportunism. It aims at showing the impact of this opportunism on the organizational design of multiple channels structures.

The research reports on an exploratory case study in a French retail bank. A total of 25 in‐depth interviews were conducted, and the use of other sources enabled data triangulation.

The results show first that an increase in the number of distribution channels is liable to favor customer opportunistic behavior. To counter this, the bank mainly relies on impersonal coordination modes. An emerging result highlights the role of the customer as a “perceptual filter” between the different channels of employees.

Customer opportunism is studied via channels employees perceptions. An investigation using a customer survey may help to better understand this construct, e.g. to identify its antecedents, and to measure it precisely. Moreover, further qualitative and/or quantitative studies with larger sample sizes are needed to try and generalize these results.

It is recommended not to forget that customers can facilitate or hinder multichannel coordination. Retail banks have the power to use them conveniently, provided that they are fully conscious of the scope of the “partial employee” role played by the customer.

This paper broadens understanding of how multichannel distribution structures are coordinated, and in a way belies traditional organizational design literature. The emerging result gives birth to the concept of “reversed interactive marketing”, which has interesting theoretical and practical repercussions.

The purpose of this paper is to establish a reference model that will allow us to understand the factors that influence the omnichannel management of an organization in a business-to-business (B2B) context.

In building the model, a partial least squares structural equation modeling approach was followed. More than 1,000 executives with a C-level profile (chief executive officer, chief marketing officer or chief digital officer), from manufacturers and wholesalers, in various industries worldwide were contacted. The final sample consisted of 124 C-level executives in multinational B2B companies from 35 countries worldwide.

The principal finding is that optimal omnichannel management must involve a customer-centric proposition forming the basis for individualized marketing that tailors the company’s portfolio of solutions to suit each client. To ensure this, customer knowledge at each touchpoint is essential. The results show that the main predictor of B2B omnichannel management is sales and marketing, even above channels. The principal conclusions are that the model shows that good omnichannel performance is measured by the performance of the industrial buyer. Loyalty and experience are primary measures of this customer’s performance.

Research into omnichannel management in the B2B field is scarce, especially concerning the creation of models for decision-making.

The purpose of this paper is to understand loyalty in the multichannel retail context. The paper analyses the interplay between offline and online loyalty and the direct and indirect effects on loyalty of brand trust and brand attachment, in a cross-cultural study.

Online survey answered by 761 multichannel apparel shoppers in two countries (UK and Spain). Structural equation model multigroup analysis is performed to test the hypothesized relations and the role of culture as a moderating variable.

Online loyalty is largely driven by offline loyalty, which is also positively affected by brand trust and brand attachment. These relationships hold across the two different cultures.

The findings confirm the validity of applying the theory of cognitive dissonance to explain multichannel shopping behaviours. The authors did not find culture that affects the relationships in the model; however, the validity of these findings should be tested considering other cultural variables different from nationality.

Multichannel retailers should focus on building trust and attachment towards the brand if they want to get online and offline loyalty. The efforts to build stronger bonds between the customer and the retail brand translate into higher loyalty, particularly towards the offline channels.

This paper extends the literature on the interactions between online and offline behaviour by focussing on the power of the brand to build strong customer bonds. The model considers the role of brand attachment together with brand trust in offline and online loyalty simultaneously.

Enterprises' multichannel operations provide various avenues for customer interaction; however, existing literature investigating customer-to-customer interaction (CCI) mainly focuses on a single channel. The purpose of this paper is to investigate the spillover effect of CCI and potential underlying mediating mechanisms in different information channels.

Three between-subjects experiments with 946 participants were employed to empirically validate the proposed hypotheses in the context of an experiential product and a material product.

Results suggest the clear spillover effect of CCI, indicating that positive CCI improves focal customers' satisfaction and purchase intention, whereas negative CCI reduces focal customers' satisfaction and purchase intention. Moreover, CCI's spillover effect varies based on the CCI channel. Offline CCI has a stronger positive spillover effect than online CCI. Contrarily, online CCI has a stronger negative spillover effect than offline CCI. Customer experience and trust are demonstrated to have mediating roles in this process.

This study is the first to comprehensively understand and compare the CCI spillover effect of the two information channels. The findings add to the existing knowledge of information processing in the psychological mechanisms influencing the belief in addition to providing insights for companies engaged in multichannel operations management across different channels.

With India becoming world’s second largest user of smartphones (Ming, 2017) and with more users adopting mobile devices for online shopping, Indian online retailers now have to manage mobile channel in addition to existing traditional channel (of computers). Hence, the purpose of this study is to investigate the mapping of product characteristics with individual channel capabilities and its effect on online consumer behaviour, so that e-tailers can create enhanced online shopping experience for consumers.

A comprehensive research model is developed on the basis of the knowledge gained from multichannel retailing and e-commerce literature. Then, the model is empirically tested, with primary data collected from 344 customers, using structural equation modelling. The data are collected from customers across two product categories: electronics and fashion.

The results reveal that perceived usefulness, perceived risk and perceived self-efficacy are important drivers of online consumer behaviour for continued usage. The multi-group analysis confirms the moderation influence of platform type for some relationships across electronics and fashion.

The findings underline the importance of multichannel complementarity across electronics and fashion. The preference of mobile devices for fashion and traditional devices such as computers for electronics provides valuable insights for online retailers towards management of multichannel e-commerce ecosystem.

In Indian context, this is the first empirical research on online multichannel retail setting, studying the impact of diverse channel formats on different product categories. The study’s findings give empirical basis to online retailers to look out for right product–channel fit strategy for engaging consumers in the long run.