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Consumer behavior has evolved because of technological development. Nowadays, consumers carry out the different stages of the decision-making process by combining multiple devices which has been defined as multi, cross and omnichannel behavior. These behaviors have attracted the attention of academics and become a hot topic in literature. As a result, vast amounts of studies on the subject need to be revised and clarified. Thus, the aim of this chapter is to synthetize the primary academic literature that analyzes multi, cross and omnichannel behavior from the consumer point of view. To do that, first, the main concepts (multi, cross and omnichannel) and their differences are clarified. Second, the major findings of channel mix literature regarding the topics, channel scope and theories are exposed and described. Third, the opportunities and future lines of research are presented. This chapter contributes to the literature by clarifying the conceptualization of multi, cross and omnichannel behaviors; offering a complete picture of the main topics, channel approaches and theories addressed in channel mix literature; and presenting future research opportunities and open research questions in a channel mix context that could serve as a starting point to build further research.

Allocation of the marketing budget has become increasingly challenging due to the diverse channel exposure to customers. This study aims to enhance global marketing knowledge by introducing an ensemble attribution model to optimize marketing budget allocation for online marketing channels. As empirical research, this study demonstrates the supremacy of the ensemble model over standalone models.

The transactional data set for car insurance from an Indian insurance aggregator is used in this empirical study. The data set contains information from more than three million platform visitors. A robust ensemble model is created by combining results from two probabilistic models, namely, the Markov chain model and the Shapley value. These results are compared and validated with heuristic models. Also, the performances of online marketing channels and attribution models are evaluated based on the devices used (i.e. desktop vs mobile).

Channel importance charts for desktop and mobile devices are analyzed to understand the top contributing online marketing channels. Customer relationship management-emailers and Google cost per click a paid advertising is identified as the top two marketing channels for desktop and mobile channels. The research reveals that ensemble model accuracy is better than the standalone model, that is, the Markov chain model and the Shapley value.

To the best of the authors’ knowledge, the current research is the first of its kind to introduce ensemble modeling for solving attribution problems in online marketing. A comparison with heuristic models using different devices (desktop and mobile) offers insights into the results with heuristic models.

Retailers are increasingly adding multiple platform apps. For instance, Hilton Hotel is listed on booking.com, Expedia and TripAdvisor. The purpose of this study is to examine whether and how the adoption of a second homogenous mobile platform app by new and existing consumers affects their purchasing behavior in both the original app and the overall platform apps.

With 604,864 unique data from a Chinese fast-food company, which sequentially add three food delivery platforms, this paper explores the influence of a second homogeneous mobile platform app adoption on consumer purchase frequency, order size and spending.

The results of the log-linear regression model show that multiplatform consumers are more profitable than single-platform consumers. For both existing and new consumers, multiplatform adoption would increase purchase frequency, decrease order size and increase total spending with the retailer. However, for existing consumers, multiplatform adopters are more likely to buy less frequently, spend less per order and have lower total spending in the original platform app.

This paper contributes to platform addition and multichannel literature by empirically finding that multiplatform adopters, both new and existing consumers, are more profitable than single-platform consumers. Managerially, the results suggest that companies should not hesitate to add multiple platforms and should encourage consumers to use multiple mobile apps.

First, this study examines the multiplatform addition effect on both new and existing consumers, which has not been discussed yet. Second, this study contributes to multichannel literature by finding that multiplatform consumers are more profitable than single-platform consumers. Third, unlike Rong et al. (2021), this study supports that channel capability theory is still valid in the homogenous mobile-to-mobile channel expansion context.

Green demarketing, which promotes anti-consumption as a more extreme sustainability tactic, could help consumers and societies move toward healthier consumption patterns while building strong, long-lasting relationships with consumers. As even the most committed brands find the need to oscillate between demarketing and conventional marketing for survival, this research tests how the congruency of the campaign shown on a brand's home page (owned media) and a following retargeting ad (paid media) could impact perceived congruency and further downstream effects. In doing so, this research proposes that the media context (i.e. news or shopping browsing context) in which the retargeting ad is embedded could determine how much congruency of the demarketing campaign across owned and paid media matters.

An experiment with a 2 (home page content: green vs. demarketing) × 2 (retargeting ad content: product vs. demarketing) × 2 (browsing context: shopping vs. news) between-subjects factorial design was employed with an online panel of 430 participants. The participants first saw the brand's home page content, then were assigned to a website browsing context where the retargeting ad of the brand was embedded.

In a news browsing context, users perceived higher congruency when product retargeting ads (vs. demarketing) were shown after a green home page exposure and when demarketing retargeting ads (vs. products) were delivered after a demarketing home page. The elevated perceived congruency successfully led to higher ad argument and ad attitude. These differences were not present in a shopping browsing context. These results showed that the congruency between the home page and the retargeting ad for demarketing campaigns mattered more in certain media contexts (i.e. news browsing context).

The study closes the empirical gap in demarketing brand activism campaigns by demonstrating when and how congruency between multiple owned and paid channels for demarketing campaigns impacts consumer responses. This study provides evidence of how the match of the demarketing campaign shown on a brand's home page and a following retargeting ad could impact perceived congruency and further downstream effects of ad argument and ad attitude while considering different browsing context effects.

The case is intended to assist students to:1. understand the customer’s purchase decision with reference to channel values;2. evaluate and assess the channel strategy using conventional and digital channels; and3. design the channel strategy for start-ups in emerging markets.

The subject area for this teaching case was marketing management. The teaching case could be used for the undergraduation and graduation levels of students. The case was about the marketing channel strategy of a small start-up boutique called Chirmi in India, with the theory of consumption values explained. In this case, primary data was taken directly from Chirmi, whereas secondary data for market analysis was taken from various reports, articles and other sources. Because the owner provided the records and documentation, the account was therefore substantiated by the collected first-hand information. The case uses quantitative methods to make students understand the channel arithmetic and consumption values of all the channels used by Chirmi.

In the course of core marketing classes at the undergraduate and graduate levels, this case may be used. The case addresses the channel structure, including wholesaling, retailing and e-commerce. Distribution channel management, the theory of consumption values and e-commerce marketing management are explained. Evaluation of channel strategy, design, implementation and management is emphasized.

Teaching notes are available for educators only.

CSS: 8: Marketing.

An experiential retailing strategy is considered cardiotonic for consumers and brands. When such a stimulus is used, what cognition and behaviors are generated is an issue worthy of study. Therefore, the purpose of this study is to explore the factors and mechanisms that affect consumer response and relationship quality through empirical research.

Based on theoretical deduction, this paper proposes a conceptual model that includes four antecedents: experiential scene atmosphere (ESA), highlight design, interaction approach and value fit. These affect consumer–brand relationship quality (CRQ) through consumer identification (CI), brand identity (BI) and experiential immersion degree. In two rounds of predictive tests, 624 and 481 valid data were collected, respectively, and the feasibility of the scale was verified scrupulously. Furthermore, 427 participants reported the participants' tendencies in a formal empirical study.

The results show that the direct effects of antecedents, mediators and dependent variables are significant. Although the mediating effect of BI in experiential highlighting design on CRQ is not supported, other consumer response variables have a full or partial mediating effect.

This study not only functions as an innovation of research perspective enriching the theoretical framework of the influence mechanism of experiential retailing, but also strengthens the discussion on the role of value fit, especially emotional value fit, in experiential retailing.

This paper aims to develop an optimal buyback promotion strategy for enterprises, including multibuyback strategy and self-buyback strategy, taking both the consumer's multichannel psychological acquisition attributes and remaining market into account.

Based on the game theory and Hotelling model, the authors formulate a new model to study the equilibrium of different buyback models, given the utility maximization of the consumers, the profit maximization and the constraint on nondecreasing market share of the enterprises, and the authors conduct comparative analysis.

Intuitively, enterprises buying back products of other brands would appeal to some consumers. However, the authors find that after implementing the multibuyback scheme, enterprises may not be able to seize competitors' markets or even lose their original customer base in the context considered in this article counterintuitive. In addition, the size of remaining market share and the consumer's multichannel psychological acquisition affect the choice of buyback promotion strategies. Moreover, after implementing multibuyback scheme, customers with old products subsidize those who receive additional discounts. Finally, the authors point out that the buyback strategy choices of companies with different goal-oriented are diverse.

This study has a very solid realistic background and provides guidance for enterprises to implement buyback promotion strategies. In addition, the authors unearth new influencing factors to provide a reasonable explanation for different buyback strategies in reality.

To the best of the authors’ knowledge, this study is one of the first to explore the multibuyback promotion strategy as a new buyback method, where the two influencing factors the authors have not been proposed so far.

This study employed the commitment–trust theory in social psychology and relationship marketing to explore female customers' perception of channel integration quality in omnichannel retailing and its influence on their relationship commitment to and trust in the relationship with retailers, and thus on their stickiness. Channel integration quality consists of two dimensions: channel service configuration (channel choice breadth and channel service transparency) and integrated interactions (content consistency, process consistency and perceived fluency).

The study was carried out via a questionnaire survey, to which 868 valid responses were collected. The partial least squares technique was used to test the hypotheses.

Channel service transparency and perceived fluency influence relationship commitment; content consistency, process consistency and perceived fluency all have significant effects on trust. Interestingly, although less influential than integrated interactions, channel service configuration is the foundation of channel integration quality, testifying to its significant role.

This study provides strong evidence on how channel integration quality affects customer stickiness. Moreover, this study replicates the finding of significant relationships among relationship commitment, trust and stickiness in omnichannel retailing.

The purpose of the study is to explore the role of affective commitment (AC) consumer empowerment on webrooming behaviour (WB) in a multichannel context of the fashion industry, with mediating (attitude [ATT]) and moderating (product involvement [PT]) effect. We used the stimulus– organism–responses theory as a theoretical underpinning.

We collected 307 responses from fashionable consumer who was purposed fashion products recently through convenience sampling approach and analysed the data with structural equation modelling and PROCESS macro.

The results illustrated that AC and consumer empowerment had a significant impact on consumer attitude and their WB. Likewise, consumer attitude had a positive mediating association between AC, consumer empowerment and WB. PI significantly moderated the relationship between ACs, consumer empowerment with attitude and attitude with WB.

This study is one of the new research works of its kind, which examines the role of AC and consumer empowerment on WB in the fashion industry. This study contributes to the growing amount of literature on fashion marketing by analysing the rapidly growing phenomena of WB in a multichannel context of the fashion industry.

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.