Challenging the "integration imperative": A customer perspective on omnichannel journeys

Omnichannel literature largely assumes that retailers should integrate touchpoints across channels to promote seamless experiences. This paper challenges this assumption by exploring how perceived journey integration affects customer experience in omnichannel retailing. A qualitative study reveals that two dimensions of journey integration—consistency and connectivity—interact to form four patterns of omnichannel journeys, each prompting distinct experiences. When looking at this phenomenon through the customer’s perspective, we find that there are cases in which low consistency or connectivity can trigger positive experiences, contradicting extant literature. We then formulate research propositions that challenge the “integration imperative” in the omnichannel literature and provide managerial implications for retail firms that want to improve their customers’ experiences.     

A conceptual framework of the antecedents of customer journey satisfaction in omnichannel retailing

In light of the complex customer behaviour and customer journeys in omnichannel retailing, this study aims to investigate customer co-creation behaviour, customer response and customer experiential values as critical aspects of the customer journey, and examine their impact on the level of customer journey satisfaction. The results confirmed the significance of all factors, except information seeking and arousal, in all phases and exploration in the post-purchase phase, on customer journey satisfaction. For a further examination, this study classified the participants into three different segments according to their journey pattern and scrutinised whether the impact of the three predictors of customer journey satisfaction varied across customer segments. The analysis showed that customer segments were fragmented. The impact of customer co-creation behaviour, customer response and customer experiential values on customer journey satisfaction varied across the three customer segments. A heatmap highlighted the most influential factors of each customer segment. The study yielded several theoretical contributions and insights into omnichannel customers for managers.     

Service integration in omnichannel retailing and its impact on customer experience

Although omnichannel retailing has received considerable attention from scholars and practitioners in recent years, its impacts on customer experience and relationship outcomes remain unclear. Therefore, this study aims to examine the effects of two components of service integration in omnichannel retailing, namely service consistency and service transparency, on customer experience (i.e. flow and perceived privacy risk), and customer loyalty. Flow theory and hyperbolic discounting theory are employed to underpin these relationships. The data was collected using an online survey with 786 useable responses. Our findings indicate that service consistency has a direct and significant impact on flow and perceived risk while only the effect of service transparency on flow is significant. Moreover, both flow and perceived risk are related to customer loyalty to a retailer. Furthermore, it is found that showrooming behaviour and location-based service usage moderate the relationship between service consistency and privacy risk. The findings of the research provide important implications for a retailer regarding the development, implementation and management of omnichannel strategy.     

Do myriad e-channels always create value for customers? A dynamic analysis of the perceived value of a digital information product during the usage phase

The academic literature generally asserts that omnichannel strategies create value throughout the customer journey based on the principle of synergy between channels. However, such strategies may appear complex to customers, notably when they face myriad e-channels that constitute all means of accessing the offer. Specifically, for digital information products, such as those of the press, digitalized content is now consumed through multiple e-channels. Our study aims to investigate the impact of e-channel combinations on the perceived value of a digital information product during the usage phase. We hypothesize that the similarity between the e-channels used by customers has a negative impact on the perceived value model. To test the research hypotheses, we conducted a longitudinal study of the readers of a digital version of an international newspaper. The results demonstrate that the similarity of e-channels impedes value creation. Our findings reintroduce a more ambivalent vision of the omnichannel strategy in a digital environment and provide insights into how managers should support customers by clarifying the usefulness of each e-channel proposed.     

Evolution of retail formats: Past,present, and future

In this paper, the authors review current literature on retail formats and propose a new customer-centric framework for retailers to focus on as they continue to innovate and evolve. Specifically, they review the literature on how formats compare in their attributes and compete with each other; the role of customer behavior in format choice; and developments in multichannel and omnichannel retailing. They propose a framework for retail formats suggesting two paths – either reduce friction in the customer journey or enhance customer experience. They discuss the challenges faced by offline (physical store-first) and online (digital-first) retailers and elaborate on strategies each type of retailer is pursuing to address these challenges. Finally, they offer directions for future research in this domain. They conclude by calling for newer digital-first and physical-first players to continue coming up with different customer-centric formats, which they predict will slowly morph into integrated retailers, leaving space for newer players to enter the market and hence keep the wheel of retailing spinning.     

Seamless experience in the context of omnichannel shopping： scale development and empirical validation

In recent years, delivering a superior seamless experience (SE) for customers has become one of the most crucial aspects of omnichannel marketing for omnichannel retailers. However, research lacks a common understanding of what the SE is and how customers evaluate the SE throughout their omnichannel shopping journeys, and the effects of the SE on important customer behaviors remain unexplored. Drawing on omnichannel customer experience research, following the scale development process, this research conceptualize and develop a scale to measure the SE construct. Building on the customer experience quality framework, this research further examines the effects of customers’ prior SE on repurchase intention, word of mouth (WOM), and customer influence behavior in the omnichannel shopping context. The SE scale is developed and validated by performing 15 semi-structured interviews, 62 open-ended questionnaires, and three online surveys with 884 useable respondents in total. The effects of SE are then validated via partial least squares modeling with 307 useable respondents. The findings confirm that the SE construct is a formative second-order construct composed of six reflective first-order dimensions. Our empirical findings indicate that the overall SE has a direct and significant impact on the foregoing three customer behaviors. Managers can use the SE scale as an effective omnichannel approach to design a seamless shopping journey and maintain long-term relationships with customers.     

Perceived Omnichannel Customer Experience (OCX): Concept,measurement, and impact

Efforts to measure customer experiences (CX) in multifaceted, omnichannel, retail contexts are crucial but lacking research guidance. Prior service quality literature has established methods for measuring CX in traditional, single-channel contexts but not adapted such measures to omnichannel contexts. With a mixed method research design and studies in eight phases, the authors propose a comprehensive measurement instrument that incorporates a schema- and categorization-based theoretical conceptualization of how customers assess omnichannel retail experiences; they also integrate means–end chain theory to explain perceived omnichannel customer experience (OCX) as a construct. This construct captures multiple omnichannel evaluation dimensions: social communications, value, personalization, customer service, consistency of both product availability and prices across channels, information safety, delivery, product returns, and loyalty programs. Multiple applications of the measurement model empirically confirm the suitability of this instrument in consumer goods omnichannel retail settings. Its 36 items reflect nine first-order quality dimensions that combine to form the overall, second-order OCX construct. The measurement instrument offers sound psychometric properties, as confirmed by several reliability and validity tests, and predicts customer behavior reliably across studies. Thus, the OCX measurement instrument offers utility for theory, management practice, and further research.     

Exploring customer experience during channel switching in omnichannel retailing context: A qualitative assessment

Customer channel switching behaviour in the digital revolution is becoming more complicated and difficult to comprehend. This study follows the interpretative approach to examine customer intention behind channel switching behaviour and the customer experience during the channel switching journey in the omnichannel context. To explore the phenomenon, we conducted twenty-three in-depth interviews and four focus group discussions with millennial customers of electronic goods omnichannel retailers. We found two new reasons for channel switching—the influence of social groups and perceived self-efficacy of the switching behaviour. Key factors affecting channel choices during switching are product attributes, trust/perceived uncertainty, social influence, customer characteristics, review culture, and time constraints. Customers expressed mixed emotions during the journey, which affected their choices during channel switching. We further proposed a framework to explain channel switching behaviour under the social cognitive theory. The study furthered the reasons for channel switching and the customer experience during switching. To the best of our knowledge, this study is pioneering, in examining the phenomenon in the omnichannel retailing context. Based on the findings, the study provides suggestions to enhance customer experience optimisation and retention strategies for omnichannel retailers.     

Change in technology-enabled omnichannel customer experiences in-store

This paper explores changes in technology-enabled omnichannel customer experiences in stores over a five-year period (2014–2019). It contributes to the omnichannel-experience-management literature through customer technology-enabled touchpoints within fashion retail. Adopting an exploratory qualitative approach, primary data were obtained using semi-structured interviews with millennial consumers. The findings demonstrate the growing importance of implementing and integrating in-store technologies to improve customer experience. From these, two models are developed: “technology-induced customer experience in-store”; and “technology-enabled customer shopping journey in-store”.     

How to retain customers in omnichannel retailing: Considering the roles of brand experience and purchase behavior

The opportunities and challenges of omnichannel in retail industry have been widely discussed, yet despite these benefits, the key elements that constitute an effective omnichannel and how customers respond to omnichannel retailing strategies remain unclear. This research conducted online surveys to test the effects of omnichannel elements on various brand experiences and customer retention, considering the moderating role of purchase behavior. The results indicate that omnichannel elements (integration, individualization, and interaction) are generally helpful in retaining customers, through omnichannel elements influence brand experiences differently. In addition, these omnichannel elements have different influences on customer retention due to different purchase behaviors. The findings suggest that retailers can use different omnichannel strategies to attract customers’ purchases and provide insights for practitioners who want to use omnichannel strategies to deliver superior experiences for customers.     

Loyalty Formation for Different Customer Journey Segments

The proliferation of new touchpoints empowers today’s customers to design their own journey from search to purchase. To address this new complexity, we segment customers by their use of specific touchpoints in the customer journey, investigate the association of several covariates with segment membership, consider the rise of mobile devices as potential “game changers” of existing segments, and explore how the relationships among product satisfaction, journey satisfaction, customer inspiration, and customer loyalty differ across segments. Based on anticipated utility theory and using latent class analyses on large-scale data from two samples of 2,443 and 2,649 journeys, we identify five time-consistent segments―store-focused shoppers, pragmatic online shoppers, extensive online shoppers, multiple touchpoint shoppers, and online-to-offline shoppers―that differ considerably in their touchpoint and mobile device usage, their segment-specific covariates, and their search and purchase patterns. The five segments remain unchanged in the two data sets even though the usage of mobile devices has increased substantially. Furthermore, we find that the relationships between various loyalty antecedents and customer loyalty differ between the segments. The insights from this paper help retailers develop segment-specific customer journey strategies.     

The Effects of Channel Experiences and Direct Marketing on Customer Retention in Multichannel Settings

In customer relationship management (CRM), it is critical for managers to understand how and when customers terminate their relationships with the company in order to make more accurate predictions for CLV. However, in many non-contractual settings, customer churn is not easily observed, which presents difficulty for estimating customer retention. In this research, we present a framework for estimating multichannel customer relationship dynamics in a non-contractual setting that flexibly allows for relationship revival and investigates the effects of different channel experiences and marketing communication on retention and profitability. We use a multi-segment, multivariate hidden Markov modeling framework to model three managerially relevant customer behaviors: purchase amount, purchase incidence, and channel choice. Using data from a multichannel clothing retailer, we uncover two latent relationship states that customers migrate to and from — an active state and an inactive state characterized by different levels of purchase frequency, responsiveness to marketing, and profitability. We find that an offline (retail-store) channel can be used to migrate customers from an inactive state to an active state, effectively serving the purpose of “education” or “revival,” whereas an online channel is most effective in keeping the existing active customers active, thus serving the purpose of “retention”. Using counterfactual analysis, we highlight an opportunity for the multichannel firm to optimize marketing strategies to dynamically manage and increase the retention and hence also the value of its customer base.     

Price,online coupon,and store service effort decisions under different omnichannel retailing models

This paper explores three omnichannel retailing models—that is, a Buy-Online, Pick-Up In-Store (BOPS) model, a Showroom model, and an Interactive model (a model that combines the characteristics of BOPS and Showroom)—under which the retailer offers coupons online and invests in service efforts offline. For each omnichannel retailing model, three coupon distribution scenarios (i.e. no coupon, coupon with a common value, and coupon with a different value) are discussed to investigate coupon promotion policies and omnichannel operation strategies. Profits in the omnichannel system and under each model are compared by deriving three decision values: price, coupon value, and service effort. The key findings show that the retailer achieves profit improvement when the incremental purchasing reaches a large value. In addition, a great service effort coefficient leads to a high price, service effort, and retailer profit. The service effort and coupon value in the Showroom model are the largest among the three omnichannel models, while its profit is the lowest. Conversely, although the retailer invests less in service effort, and the price and coupon value are not too large in the BOPS model, the retailer still gains the highest profit. Additionally, in the BOPS model, it is profitable for the retailer to distinguish the coupon value for the online-only and BOPS channels when consumers are less sensitive to the online-only channel’s coupon. However, in the Interactive model, the retailer derives increasing profit by providing coupons with a common value for the online-only and BOPS channels.     

Financial consequences of adding bricks to clicks

Many e-commerce retailers are adding “bricks to clicks” – that is, opening an offline channel in addition to their digital sales channel(s). Taking the perspective of such an online pure player, this research assesses the effects of offline channel additions on the financial performance (e.g., sales, profits) and customer behavior (e.g., basket size, return rate) in the extended channel network as well as the initial online channel of the retailer. Across two studies, one at the zip code level and the other at the customer level, we find that the channel addition of a fashion and lifestyle retailer is synergistic in terms of increasing not only overall sales but also profits. At the same time, the new offline channel does not significantly cannibalize the existing online shop, as new customers are attracted through the channel addition. The effects of channel additions, however, are influenced by characteristics of customers gained before the channel addition and of the trade area around the newly opened stores: among existing customers, those who bought more in the online channel do not react as positively to the addition of an offline channel, and trade areas with socioeconomic characteristics that are often viewed as disadvantageous for digital retailing (e.g., an older population, lower average income) show a stronger positive sales effect of a brick-and-mortar addition. The attractiveness of the offline channel for these customer segments highlights that adding bricks to clicks might be most attractive for those customers who were previously unwilling to purchase from an online-only retailer.     

Cross-channel effects of omnichannel retail marketing strategies: A review of extant data-driven research

The authors review 50 empirical retailing research papers that have appeared over the last 20 years to take stock of what we know, need to know better, and do not know yet about within-retailer cross-channel effects of omnichannel retail marketing strategies on (a) consumer responses over their purchase journeys, i.e., online and/or offline search, purchase intention, frequency, amount, returns, loyalty, and (b) the retail firm's aggregate outcomes (e.g., sales, costs, profits, product returns) by channel and overall. Specifically, the authors focus on five strategies: (1) the addition of online channel by an offline retailer; (2) the addition (or subtraction) of offline channels by an online retailer; (3) addition of mobile shopping channel (website and/or app) by offline and/or online retailer; (4) cross-channel integration strategies; and (5) retail marketing mix strategies. The author/s integrate findings from empirical research on these strategies into a number of ‘insights’ about ‘what we know’. Prominent among these are the following: Adding a transactional online channel to an offline channel improves the retailer's overall sales even though offline channel sales can be cannibalized to some degree. Adding an offline channel by an online retailer, however, boosts online channel sales as well as overall sales of the retailer. Similarly, adding a mobile shopping channel usually increases customer purchase frequency and amount and overall sales of the retailer in the long-term. Strategies for greater cross-channel integration generally have a positive effect on a retailer's overall performance while online advertising has positive effects on offline channel consideration and sales as well as overall sales of a multichannel retailer. Other insights or findings that need further study or open questions are also identified. The paper closes with managerial implications of the derived empirical insights, and suggestions for future research.     

Information effects of warehouse automation on sales in omnichannel retailing

The recent development of an omnichannel business environment provides a seamless shopping experience throughout the customer journey. Although previous studies have identified the importance of rapid product delivery, consumers cannot evaluate delivery quality until it has arrived. This study argued that warehouse automation and retail channel brand characteristics lead to informative signals and to firms' higher sales in the omnichannel context. By analyzing panel data from the Japanese retail market, we tested the effects of warehouse automation and the moderating effects of omnichannel, online, and offline brand offerings on the effectiveness of the warehouse automation signal. Results showed that warehouse automation signaling positively affects firms’ sales and has a positive interaction effect with omnichannel offerings.     

The impact of buy-online-and-return-in-store channel integration on online and offline behavioral intentions: The role of offline store

Retailers have treated the buy-online-and-return-in-store (BORS) policy as an important initiative to reduce return losses and provide a better customer experience. Studies on BORS policy have primarily focused on the retailer's strategic value, but not on how such a seamlessly integrated omnichannel operation affects customer behavior. Using Chinese customer data and the structural equation model (SEM), we investigate how BORS channel integration impacts customer behavioral intentions, with the consideration of the mediating effect of customer satisfaction and the moderating effect of offline store characteristics. Based on the stimulus-organism-response framework, our research found that two dimensions of BORS channel integration (integrated return fulfillment and integrated customer service) positively impact customer satisfaction and subsequently impact behavioral intentions in different channels. Furthermore, offline store convenience moderates the relationship between integrated customer service and customer satisfaction. Product variety in the offline store moderates the relationship between customer satisfaction and offline behavioral intentions, while it is not statistically significant in the relationship between customer satisfaction and online behavioral intentions. Compared to the younger group, the older group who is satisfied with BORS service is more likely to purchase offline. These findings generate important theoretical and practical implications for omnichannel return operations.     

An omnichannel approach to retailing: demystifying and identifying the factors influencing an omnichannel experience

ABSTRACT

The purpose of this research is to identify the factors that influence an omnichannel experience. Omnichannel is an emerging approach to retailing that responds to the changing nature of how customers shop in alternation between online and offline shops, and the increasing use of digital devices (e.g. smartphones and tablets), as a consequence retailers are focusing and establishing a seamless integrated approach to their services. Omnichannel is now a hot topic in retailing but there is a lack of empirical studies into the factors that influence an omnichannel experience. Using a mixed methods approach, we propose and empirically test a conceptual model that identifies four factors influencing an omnichannel experience: brand familiarity; customisation; perceived value, and technology readiness. We conceptualise omnichannel to include three key channels; in-store, online and mobile. Two hundred and forty-six questionnaires were collected and analysed using PLS-SEM and 11 interviews were carried out with marketing/ omnichannel professionals. Our results indicate that brand familiarity has a strong influence on omnichannel (in-store, online and mobile) while perceived value has a negative impact on the mobile experience. Our results show that retailers need to consider multiple factors, such as brand familiarity, customisation, perceived value and technology readiness as influencing factors of an omnichannel experience, and plan the use of multiple touchpoints simultaneously to enhance their overall customer’s experience. Although this study demonstrates the significant factors influencing an omnichannel experience, questions remain regarding the exact use of each touchpoint by customers and the extent of overlap between the touchpoints. which .     

How customer experience incongruence affects omnichannel customer retention: The moderating role of channel characteristics

Although a positive customer experience is known to be an important source of competitive advantage, it is unclear how customer experience can be effectively managed in an omnichannel setting. Drawing on goal theory, this study explores the effect of incongruity between online customer experience and offline customer experience on customer retention in an omnichannel context. It also examines the moderating effects of three channel characteristics: transparency, convenience, and seamlessness. Our hypotheses are tested with online survey data, and the results indicate that in an omnichannel context, customer experience incongruence has a negative effect on customer retention, but channel transparency, convenience, and seamlessness can effectively mitigate this negative effect. The findings have both theoretical implications for research related to omnichannel business and customer experience and practical implications for managers of omnichannel services.     

The effects of multi-channel assortment integration on customer confusion

Abstract

The effects of assortment strategy on customer confusion have been discussed for singular channels in the past. However, multi-channel retailers also have to coordinate their assortment across channels. Recent literature has started to investigate which assortment integration strategy is most favourable for retailers, but theoretical and empirical research is still scarce. Until today, customer confusion has not been considered in this discussion. This article seeks to identify the impact of a retailer’s assortment integration on customer overload confusion, assortment perception and their consequences. In an experiment, we manipulate assortment integration internally (online and offline channel of the focal retailer; full and asymmetrical integration) and externally (online channel of the focal retailer and a competing online retailer; full, asymmetrical and no integration). The results indicate that both internal and external assortment integration have an impact on overload confusion and assortment perception. Asymmetrical internal integration induces less overload confusion in terms of its cognitive and affective components and leads to superior assortment perception. Full and asymmetrical external integration evoke less confusion with regard to its cognitive component. Eventually, overload has detrimental short- and long-term effects for the retailer. Multi-channel retailers should consider our results when implementing an assortment integration strategy.