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Innovations in technology and evolution of internet elicited the usage of technology and internet during the shopping process of consumers. Changes in consumer shopping processes opened doors for shifts in consumer buying behavior. As a result of the variations in consumer buying behavior, retailers formed new channel structures to fulfill customer requirements. New channel structures created different retailing formats and enhanced the complexity of retailing processes. As the complexity of retailing processes increased, complexity of consumer shopping behavior increased as well. In this sense, multichannel retailing emerged and expanded all around the world and paved the way for omnichannel retailing. Transformation of multichannel retailing to omnichannel retailing created two different shopping forms as: Showrooming and Webrooming. In this chapter, showrooming and webrooming concepts will be studied and the complementarity dimensions of these concepts will be explained in detail.

Previous studies have rarely integrated the financing modes of a capital-constrained manufacturer with the choices of online sales strategies. To address this gap, the authors study how a manufacturer selects optimal financing modes under different sales strategies in three dual-channel supply chains.

This paper considers three sales strategies, namely, combining a traditional retailer channel with one of the direct selling, reselling and agency selling channels, and two common financing modes, namely, bank financing and retailer financing. The authors obtain equilibrium outcomes of the manufacturer and traditional retailer and then provide the conditions for them to select optimal financing modes under three sales strategies.

The results indicate that the manufacturer’s financing decisions rely on the initial capital and interest rates, and the manufacturer selects retailer financing only if the initial capital is relatively larger. In terms of financing mode options, the retailer financing mode is more beneficial for the manufacturer under the three sales strategies. From the perspective of sales strategies, the direct selling model is more beneficial. In addition, the higher the consumer acceptance of the online channel, the more profits the manufacturer obtains.

This paper provides suggestions on how the capital-constrained manufacturer chooses financing modes and sales strategies.

This paper integrates the financing mode and different sales strategies to investigate the manufacturer’s optimal operational decisions. These sales strategies allow us to investigate the manufacturer’s optimal financing modes in the presence of both different financing modes and sales strategies.

This paper aims to examine why retail firms seldom achieve full integration of online and offline channels as prescribed in omni-channel literature. It examines the intermediate process of channel integration from an internal, operational perspective.

This study is composed of two parts. In the first part, the authors interviewed informants from nine firms that were engaged in channel integration. In the second part, the authors conducted case studies with three firms from the cosmetics and skincare industry against the backdrop of the COVID-19 pandemic to find evidence to support or negate the propositions made in the first part.

The first part identified six operational challenges to channel integration. The authors categorized these challenges into two groups: inter-channel communication and inter-channel competition. Inter-channel competition carries more weight at the latter stage of integration. The authors also identified two antecedents that affect the seriousness of these challenges: heterogeneity among channels in business operation and external competitive pressure. In the second part, the authors found that both inter-channel communication and inter-channel competition were improved because of the external competitive pressure exerted by the COVID-19 pandemic. However, the heterogeneity of offline channels against online channels in business operation is a double-edged sword.

The study identifies the changing effects of the challenges of channel integration and their antecedents in the midst of integration. The positive influence of a specific dimension of channel heterogeneity against other channels increases and then decreases along channel integration. The identification of the changing effects lays the foundation for a finer stage model of channel integration.

This study aims to understand why consumers continue to visit physical stores despite the rise in mobile shopping and online channels. Mobile shopping has changed how consumers shop, allowing them to easily switch between channels. However, physical stores continue to remain significant because some consumers still prefer them, challenging the belief that online markets always surpass offline markets. To serve their needs effectively, retailers must understand the motivations and behaviors of shoppers in both channels. Therefore, this study aims to explore why people cross the online channel to offline by examining their dissatisfaction with online shopping, using E-SERVQUAL variables.

This study uses a two-method approach that involves in-depth interviews to develop questions related to E-SERVQUAL variables and a survey to assess respondents’ likelihood of switching from online to offline. Data was collected from 203 participants.

The results indicate that dissatisfaction with the timeliness and condition of online shopping services is a significant factor driving consumers to switch to physical stores. This challenges the notion that online markets always surpass offline markets, emphasizing the continued significance of physical stores in the retail landscape.

This study recognizes the importance and relevance of physical stores in the retail environment while challenging the assumption that online markets always outperform brick-and-mortar markets. In terms of dissatisfaction and satisfaction, it is possible to identify under what circumstances dissatisfied consumers go from online to offline by considering the distribution channel migration phenomenon.

Perishable inventory management for the grocery sector has become more challenging with extended omnichannel activities and emerging consumer expectations. This paper aims to identify and formalize key performance measures of omnichannel perishable inventory management (OCPI) and explore the influence of operational and market-related factors on these measures.

The inductive approach of this research synthesizes three performance measures (product waste, lost sales and freshness) and four influencing factors (channel effect, demand variability, product perishability and shelf life visibility) for OCPI, through industry investigation, expert interviews and a systematic literature review. Treating OCPI as a complex adaptive system and considering its transaction costs, this paper formalizes the OCPI performance measures and their influencing factors in two statements and four propositions, which are then tested through numerical analysis with simulation.

Product waste, lost sales and freshness are identified as distinctive OCPI performance measures, which are influenced by product perishability, shelf life visibility, demand variability and channel effects. The OCPI sensitivity to those influencing factors is diverse, whereas those factors are found to moderate each other's effects.

To manage perishables more effectively, with less waste and lost sales for the business and fresher products for the consumer, omnichannel firms need to consider store and online channel requirements and strive to reduce demand variability, extend product shelf life and facilitate item-level shelf life visibility. While flexible logistics capacity and dynamic pricing can mitigate demand variability, the product shelf life extension needs modifications in product design, production, or storage conditions. OCPI executives can also increase the product shelf life visibility through advanced stock monitoring/tracking technologies (e.g. smart tags or more comprehensive barcodes), particularly for the online channel which demands fresher products.

This paper provides a novel theoretical view on perishables in omnichannel systems. It specifies the OCPI performance, beyond typical inventory policies for cost minimization, while discussing its sensitivity to operations and market factors.

This research investigates the role of marketing channel selection in influencing brand authenticity and purchase likelihood in the international marketing domain. Further, perceived firm size is identified as a mediator in this regard. The moderating role of consumer skepticism is also considered.

Three experimental studies were carried out across three different markets (India, the US and the UK) in the context of South Korean brands.

The findings demonstrate that firms utilizing (only) online channels are perceived to be smaller than those that utilize hybrid channels (i.e. both online and physical stores) or offline channels (i.e. physical stores). When consumers perceive firms to be smaller, they also report higher levels of brand authenticity, which in turn increases their purchase likelihood. Further, this effect is weaker among consumers with high levels of skepticism.

The findings of the present research contribute to the international marketing literature by demonstrating how consumers perceive online marketing channels, the role of marketing channel selection in driving brand authenticity, as well as providing managerial implications on how to promote products in the international market.

This paper aims to study how retailers moving from a multi- (in-store and online) to a single- (online) channel impacts consumers’ retailer and channel choices.

The authors conduct two scenario-based experimental studies to examine consumers’ in-store and online channel shopping preferences and behavioural intentions (i.e. channel and retailer choices) when their preferred focal retailer’s physical store closes.

The findings show that when a focal retailer removes its physical store location, consumers with a strong preference for shopping online have a greater likelihood of shopping online. Their loyalty towards the retailer explains this relationship but is conditional on low levels of reactance. When reactance is high, consumers with a strong preference for shopping online are more likely to switch to a competitor.

This research paper bridges the intersection between B2B and B2C literature to understand how retailers’ channel-related supply chain decisions affect downstream consumer shopping behaviour.

To examine the effectiveness of a multichannel strategy, this study mainly investigates two issues: (1) whether customers' five value perceptions (i.e. product quality, service quality, innovation, price and store image) extend from e-stores to physical stores and (2) whether customers' five value perceptions derived from e-stores/physical stores facilitate purchase intention within and beyond the channel context.

This study develops a research model to elaborate on the relationships between the focal constructs and collects 177 useable responses via an online community and personal contacts survey. Partial least squares structural equation modeling (PLS-SEM) methods and mediation analyses are conducted to validate the proposed hypotheses.

The results show that the values perceived in e-stores/physical stores generally motivate online/offline purchase intention, respectively. Next, based on Tversky's belief/feature matching process, the five value perceptions correlate with their counterparts across online and offline channels. The results of the mediation analyses suggest that the advantages established in online channels may be contagious to offline channels at the belief level. Specifically, four of the five online value perceptions may have different effects on offline purchase intention: (1) product quality perceived in e-stores directly (negative) and indirectly (positive) results in offline purchase intention, demonstrating cannibalization effects and (2) service quality, innovation and store image perceived in e-stores indirectly and positively contribute to offline purchase intention, indicating synergetic effects.

The findings of this study provide several important theoretical and practical implications for multichannel and omnichannel retailing strategies.

The purpose of this paper is to explore the applicability of Pay-What-You-Want (PWYW) pricing multi-channel retailing. Specifically, the impact of PWYW endogenous price discrimination on consumers’ price fairness perception of and reactions to PWYW is investigated.

Three empirical studies with different product categories were conducted through lab experiments with student sample using scenario-based experimental approach.

Results indicate the viability of PWYW with lower suggested external reference price. The impact of PWYW endogenous price discrimination is dependent upon the magnitude of price deviation from regular market price and product category. Consumers’ negative perceptions of price differentiation interacted with their underlying beliefs about the retailer’s cost of products across different channels. PWYW acceptance can be fostered in multi-channel by communication of additional-value generated in offline selling.

The current research is possibly the first to explore PWYW viability in the multi-channel context by exploring the consumer’s price perception process and critical consumer reactions through a well-structured research framework.

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.