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 .     

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.     

A cross cultural study of gender differences in omnichannel retailing contexts

This research examines gender difference in omnichannel experience in modern shopping malls, combining personal, physical and virtual encounters. It proposes a new theoretical model: the gender-based shopping mall omnichannel experience model. Data was collected using 1139 questionnaires completed by millennial shoppers in the United Kingdom and United Arab Emirates. Data was analysed using partial least squares. The results showed a shift in males shopping behaviour as they pay more attention to peer interaction on social platforms, service excellence, convenience, diversity and personalisation in shopping malls than female shoppers, while aesthetics and privacy are more important for female shoppers.     

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.     

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.     

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.     

The role of machine learning analytics and metrics in retailing research

This research presents the use of machine learning analytics and metrics in the retailing context. We first discuss what is machine learning and explain the field’s origins. We then demonstrate the strengths of machine learning methods using an online retailing dataset, noting key areas of divergence from the traditional explanatory approach to data analysis. We then provide a review of the current state of machine learning in top-level retailing and marketing research, integrating ideas for future research and showcasing potential applications for practitioners. We propose that the explanatory and machine learning approaches need not be mutually exclusive. Particularly, we discuss four key areas in the general scientific research process that can benefit from machine learning: data exploration/theory building, variable creation, estimation, and predicting an outcome metric. Due to the customer-facing nature of retailing, we anticipate several challenges researchers and practitioners might face in the adoption and implementation of machine learning, such as ethical prediction and customer privacy issues. Overall, our belief is that machine learning can enhance customer experience and, accordingly, we advance opportunities for future research.     

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.     

Exploring phygital omnichannel luxury retailing for immersive customer experience: The role of rapport and social engagement

Omnichannel retailing has revolutionized the way retailers create strategies for engaging customers in making purchase decisions. Phygital is a new-age transformative form of omnichannel retailing that emphasizes combining the physical and digital elements, with a particular focus on the human touch to satisfy social and symbolic consumer needs. Extant research has not fully addressed the role of phygital in luxury fashion retail. We explore the research question regarding how human interactions with experienced salespeople add value to the phygital experience. In doing so, we contribute to the luxury marketing literature by addressing the research gap by elucidating the role of phygital functionality in enhancing rapport building, social engagement, and developing trust and commitment, which results in a seamless customer experience, along with enhanced loyalty and patronage. Through 18 in-depth qualitative research interviews conducted with luxury retail managers and senior retail leaders, we provide guidelines to managers and practitioners at retail firms, to create actionable growth-oriented strategies focused on leveraging phygital capabilities.     

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.     

Quality of channel integration and customer loyalty in omnichannel retailing: The mediating role of customer engagement and relationship program receptiveness

The aim of this study was to understand how omnichannel integration quality affects customer loyalty through customer engagement and relationship program receptiveness and to verify the relationship between customer engagement and relationship program receptiveness in omnichannel retailing. Data was collected through a questionnaire with 378 available respondents. PLS-SEM was exerted to examine the model. The results disclosed the positive influence of omnichannel integration quality on customer engagement and relationship program receptiveness, which consequently impacted customer loyalty. Also, the positive influence of customer engagement on relationship program receptiveness was proved. Further, the role as mediators of customer engagement and relationship program receptiveness was explored. This study contributed to the omnichannel literature by confirming that psychological and behavioral customer engagement plays a vital role in omnichannel retailing. This study also helped omnichannel retailers understand that providing a seamless, consistent and reassuring environment can facilitate customer engagement and thereby gain customer loyalty.     

Brand personality appeal in retailing: Comparing fashion- and grocery retailing

In a mature retail market, branding can offer retailers opportunities for setting themselves apart. This study examines the construct ‘brand personality appeal’ (BPA; Freling et al., 2011) in retailing. Two consumer surveys are administered, on fashion retailing (n = 104) and grocery retailing (n = 101), focusing on (1) store personality, (2) BPA, and (3) retailer brand equity. A SmartPLS estimation shows that ‘enthusiasm’ is a personality trait that appeals to consumers regardless of the retail context, whereas ‘sophistication’ matters more in fashion retailing and ‘unpleasantness’ in grocery retailing. BPA is a significant driver of retail brand equity, regardless of the retail context.     

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”.     

Customization in bicycle retailing

The purpose of this paper is to explore the process of customization by investigating how retailers and consumers interact in bicycle retailing. The paper focuses on three high-end bicycle retailers. Building on qualitative data gathered through interviews and netnography, this study takes both retailers’ and consumers’ processes into account. The results show that retailers capitalize on external and internal opportunities for co-creation, including new technologies, production and distribution innovations, and social media. Retailers’ planning for co-creation plays a significant role in providing a unique shopping experience for consumers. This includes supply chain solutions such as effective inventory and warehousing systems, partnerships and outsourcing, tracking, and postponement, which facilitate simplicity. Retailers rely on feedback from consumers to improve their planning and implementation processes. In terms of consumer processes, several emotions are evident, including the sense of standing-out and self-esteem, fun and coolness, creativity and imagination, and most importantly, the possibility of reflecting one’s personality in self-designed bikes. Systems that are easy to interact with, such as interactive online configurators, contribute to consumers’ cognitive processes. Loyalty and positive word-of-mouth turns out to be a common manifestation of the behavior associated with such co-creation processes. We also reflect on how, by what means, and why consumers and retailers engage in co-creation through customization, mainly pertaining to learning and innovation. Our results also point to various possible outcomes from such processes for consumer and retailers; including expressing ones personality and individuality for consumers, and providing product variety efficiently, and boosting brand image for retailers.     

Entry barriers in retailing

The main purpose of the present research is to compare the impact of exogenous and endogenous market entry barriers in the retail setting. To clarify this issue, potential reactions by existing retailers to prospective competitors are studied. The results indicate that the major entry barriers are capital requirements, availability of store locations, and availability of qualified personnel: all exogeneous variables. In addition, the endogenous barriers most highly ranked, on the assumption that entry would occur, are those designed to reinforce exogenous barriers. Further, collateral issues are addressed. The results are discussed within the context of the research, and directions for future research are given.     

Personalization and hedonic motivation in creating customer experiences and loyalty in omnichannel retail

This study examines the effects of personalization and hedonic motivation on customer experience and its loyalty outcomes in omnichannel retail context. The study develops eight hypotheses which are tested using two survey samples (Finland (n = 2084) and Sweden (n = 2334). In addition, empirical analysis includes 20 semi-structured interviews. The findings support all the hypotheses confirming the positive relationships personalization and hedonic motivation have on cognitive and emotional customer experience components. Further, the positive effects of customer experience on loyalty are confirmed. The results provide both theoretical and managerial insights for improved CX and customer loyalty.     

Shopping in the omnichannel supply chain under price competition and product return

In recent years, omnichannel retailing has created value for prospective consumers. The rise of omnichannel retailing has changed consumers' buying habits, and manufacturers are facing stiff competition from retailers. To reduce this competition effect, manufacturers and retailers often work together to reduce showroom display costs. Despite this practice, there is little understanding of how omnichannel retailing impacts supply chain (SC) profit under competitive conditions. We investigate the test-in-store-and-buy-online (TSBO) retailing strategy and its impact on SC profit and price competition between manufacturers. The retailer sells products of both manufacturers through its website but displays products of only one manufacturer in the showroom, which bears the displaying cost. The retailer adopts a return policy for the other manufacturer. Stackelberg game was used to examine how members of the chain interact, and Nash equilibrium was used to find optimal strategies for players under decentralized and integrated channels. The results show that the TSBO strategy in retailing benefits all supply chain players under the integrated channel. A further interesting finding is that omnichannel SC profits are highest when retailers adopt a return policy. When two manufacturers compete and adopt different sales models, the manufacturer who uses the TSBO retail model reaps the most profit. Several other managerial insights are drawn from sensitivity analyses.