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Building on the theoretical paradigms of consumer free-riding and cognitive dissonance, this study aims to evaluate whether consumers’ cognitive effort when making a purchase decision impacts upon the relationship between free-riding habits and postpurchase cognitive dissonance.

To explore the relationship between cross-channel free-riding, cognitive efforts and cognitive dissonance, a framework was conceptualized and empirically tested on a sample of 518 Italian consumers. Covariance-based structural equation modeling and bootstrapped mediation analysis was performed with the PROCESS macro.

Results show that the more cognitively involved a free-riding consumer is, the more he/she will experience postpurchase cognitive dissonance.

Modern consumers habitually finalize their purchase activities through multiple different channels. The abundance of e-commerce/online platforms does indeed offer consumers a plethora of alternatives to physical/offline stores. Hence, consumers have been seen to act as “free-riders.” It is becoming more and more common for consumers to seek information in physical stores and then purchase a product online more conveniently. This notwithstanding, it has emerged that free-riding consumers tend to experience cognitive dissonance – which is a sensation of emotional discomfort – after making their purchases. The causes of this phenomenon are yet to be fully unpacked.

For consumers, cross-channel behaviour is increasingly prevalent. Such behaviour involves consumers actively engaging in (and deriving benefit) from one channel during a product search but switching to another channel when making a purchase. Drawing on multi-attribute utility theory, this study proposes a cross-channel behaviour typology consisting of three key aspects: channel choice behaviour, functional and economic outcomes and consumer-specific psychographic and demographic variables.

Segmentation analysis conducted via latent class analysis (LCA) was performed on a sample of 400 US consumers collected via an online survey.

Cross-channel behaviour is not always intentional. We identify a specific segment of consumers that most often engage in unplanned, rather than intentional, cross-channel switching. We find that of all shoppers that engage in cross-channel behaviour, a fifth (20%) are forced to switch channels at the point of purchase.

Cross-channel behaviour can be mitigated by retailers via a deep understanding of the driving factors of different configurations of showrooming and webrooming.

In contrast with existing conceptualisations, this study suggests that cross-channel behaviour often stems from consumers being “forced” by factors outside of their control, but within the retailers' control. This research presents a nuanced approach to decompose consumer cross-channel behaviour from the consumer perspective as planned, forced or opportunistic.

The purpose of this paper is to examine the role of consumer shopping orientations on consumer's channel choice, cross‐channel shopping behavior, and shopping outcomes.

Using multiple sources of data including surveys of store, web, and cross‐channel shoppers and their transaction information, the impact of consumer shopping orientations on comparison‐shopping, likelihood of cross‐channel usage, purchase outcomes including unplanned purchasing, retailer satisfaction, intent to return/abandon purchases, and share of category purchases are investigated.

Results suggest that high‐thrift customers patronizing a cross‐channel retailer are less likely to search for competitive offerings online or offline than customers patronizing a multiple channel retailer. Further, retailer satisfaction is higher for cross‐channel compared to multi‐channel retailers irrespective of the transaction channel used by consumers.

The data have external validity; however, they lack the control possible in laboratory experiments. Future research should examine if the findings can be replicated in multiple retail sectors.

These results suggest that brick‐and‐click retailers can exploit synergies between their channels through order online and pick up in store strategies for greater profitability than those who operate multiple independent channels.

This paper examines managerial implications of multiple independent channel vs cross‐channel strategies by retailers using data from customers of a commercial retailer.

Nowadays companies are constantly changing their retail settings and strategies to keep up with technological developments and consumer needs. Digital transformation enabled one’s shopping experience to be more efficient in terms of money, time, physical effort and other elements that determine the price a consumer has to pay. Channels of communication and distribution have evolved, increased in number and also became integrated. Mobile devices, mobile applications and location services help consumers in their shopping journey. These developments have led us to a new concept called omni-channel management. In theory, the omni-channel refers to a single and unified channel experience with multiple touchpoints, which include physical stores, online stores and direct marketing; mass communication channels (television, radio, print media, C2C, etc.), online channels (social media, search engines, comparison sites, e-mail, display etc.) and mobile channels (SMS, branded apps, etc.). Some examples of omni-channel practices are click-reserve, click-collect, tablets as in-store sales tools, in-store product order through mobile apps, etc.

In this chapter, the latest trends in marketing channels are discussed with enabling digital technologies and relevant success factors. Challenges and opportunities in implementing omni-channel strategies and several omni-channel initiatives from Turkey are reported.

A research was employed to present consumers’ preferences of touchpoints/channels for search, payment and delivery, and to find out the drivers that lead consumers to use more than one channel simultaneously and/or interchangeably in a buying process. The results will guide the readers to understand consumer behaviour in the new omni-channel world.

This article undertakes a literature review on showrooming, offering an exhaustive overview of research publications and future research objectives that will contribute to extending the understanding of the phenomenon.

The showrooming literature has been collected from journals indexed by SCOPUS and ranked by ABDC. This was later analysed with the SPAR-4-SLR framework and the TCCM methodology (theories, contexts, characteristics, and methodologies) proposed by Paul et al. (2021) and Paul and Rosado-Serrano (2019).

The insights of this review include bibliometrics of showrooming research and the number of explored showrooming theories, methodologies, and contexts from which the phenomenon has been studied. It also highlights the various aspects that might be considered while building an optimal approach.

Articles published in SCOPUS-indexed and ABDC-ranked journals between 2012 and August 2022 were considered. Some articles published in conference proceedings and journals, not fulfilling the aforementioned criteria, might have been missed.

SPAR-4-SLR and TCCM methodologies would aid the researchers in further exploration of this phenomenon and suggest options for enhancing customer experience (CX) eventually leading to customer retention. Retail channel managers will find this knowledge handy in “encouraging loyal showrooming” and ensuring business sustainability.

This study uses the novel SPAR-4-SLR framework to structure the review, while TCCM methodology sheds light on the showrooming from the perspective of various theories, contexts, characteristics, and methodologies. The scope for further research identified through the above-mentioned framework and methodology would be of high value to the researchers and practitioners alike.

Recent statistics on increasing webrooming customers make it topical in the multi-channel retailing domain. The purpose of this paper is to offer an enhanced understanding on “Webrooming behaviour”, an area of concern for e-retailers by proposing an integrated framework grounded on the Theory of planned behaviour and Technology acceptance model.

The conceptual model presented develops a number of propositions applicable to webrooming behaviour utilizing the rich literature on channel choice behaviour in the multi-channel retailing environment. The propositions are open for verification and can serve the basis for future line of research.

The model proposed provides basis for understanding the webrooming sequence via search attitude towards online channels, purchase attitude towards offline channels, perceived ease of online search and perceived usefulness of webrooming behaviour. The impact of online risk perceptions and mediating role of (lack of) “trust” have been proposed along with the direct impact of product type and category which offers an holistic view towards understanding the webrooming conduct.

The model proposed lacks empirical verification. There is a need to test the model empirically to validate the model and to find out the suitability of integrated TPB-TAM model.

Webrooming substantially erodes online profits. Before retailers’ strategies to defend webroomers, it is imperative to understand the phenomenon from the consumer’s side. The model proposed is a step in this direction and provides the basis for formulating strategies for holding back the webroomers.

This paper adds to the body of knowledge in retailing by proposing a conceptual model on webrooming behaviour which is an emerging area of research in the present retail landscape.

The objective of this research is to analyze how omnichannel consumer journey design (OCJD) influences the online customer experience (OCE) and e-satisfaction in consumers' multirooming behavior (searching for information in online and offline channels and purchasing the product online).

The problem-solving theory and experiential marketing perspective are the theoretical background that enables the establishment of five hypotheses. A survey is conducted on multiroomers who had purchased a product online, following an online and offline research journey.

The results showed that OCJD directly and indirectly (through online consumer experience) influences e-satisfaction. Females and younger individuals exhibited higher levels of e-satisfaction.

First, this research analyzes consumers' multichannel search strategies. Second, the consumer journey is incorporated into the study of multichannel retailing. Third, an emergent typology of cross-channel free-riding behavior is analyzed: multirooming.

The purpose of this paper is to propose and empirically test a model encompassing antecedents of webrooming, an emerging shopping behaviour in omnichannel retailing. This study delineates the impacts of shopping motivation, perceived channel-related benefits and costs on webrooming intention.

A questionnaire-based survey was conducted using a purposive sampling technique. A total of 300 responses were collected, and data were analysed using Partial Least Square Structural Equation Modelling.

Shopping motivation, such as efficiency shopping and bargain hunting, negatively influenced webrooming intention. Immediate possession positively influenced webrooming intention. With regard to perceived costs of webrooming, purchase effort and expected price loss negatively influenced webrooming intention. An additional exploratory analysis uncovered the moderating role of efficiency shopping.

This study provides empirical evidence for the antecedents of webrooming intention and expands the understanding of this emerging yet largely unexplored cross-channel behaviour.

Recent statistics concerning webrooming shoppers is indicative of the trending webrooming phenomenon, and points toward the dire need for the addressal of the issue. The purpose of this paper is to reason the consumer’s intentional visit to an online store prior to making purchases offline by linking it with perceived channel benefits and uncertainty reduction approach through an application of the theory of planned behavior.

A survey instrument was administered online, and a total of 374 responses were obtained. Respondents were queried with respect to the webrooming sequence, if at all they were into webrooming. The PLS-SEM was used to test the formulated hypotheses.

The factor “Access to reviews online” emerged as the prime perceived search benefit which drives consumers’ to first visit an online store, while factors like “access to touch and feel the product,” “better post-purchase services offline” and “immediate possession of product” induced customers to later purchase offline. Factors like “E-distrust” and “perceived risks related to purchasing online” notably determined consumer’s movement to the physical store for purchasing the product in the second phase of the webrooming sequence.

A small sample size limits the authors from drawing definitive generalizations. Due to the lack of studies, individually examining webrooming conduct, a prior qualitative exploration can be conducted to draw more insights.

The findings of the study can be utilized by the online retailers for devising strategies to push the webroomers to make purchases online.

The study creates awareness as to what motivates consumers to webroom, which has been realized as one of the serious issues being faced by the online retailers today.

This study addresses a key concern “webrooming phenomenon,” which has emerged as a critical challenge in the present retailing dynamics.