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.     

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.     

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.     

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.     

Customer retailer loyalty in the context of multiple channel strategies

With an increasingly competitive retail environment and decreasing customer switching costs, customer retailer loyalty is a critical goal for merchants of all types. We investigate customer retailer loyalty in the context of multiple channel retailing strategies. Results show that multiple channel retail strategies enhance the portfolio of service outputs provided to the customer, thus enhancing customer satisfaction and ultimately customer retailer loyalty. These results suggest that multiple channel retailing can be a useful strategy for building customer retailer loyalty.     

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 .     

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.     

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.     

Assessing customers’ perceived value of the online channel of multichannel retailers: A two country examination

Given the constant and often dramatic technological advancements that facilitate retailing, especially online channel adoption by industry and customers, research focusing on customers perceived value of the online channel of multi-channel retailer’s requires conceptual and empirical elaboration. This study advances understanding of customer perceived online channel value and how customer perceptions of value effect online channel satisfaction and online channel loyalty. Using data from a multi-country study, we provide a deeper understanding for multi-channel retailers of how to balance investments in various value drivers to enhance online channel satisfaction and customer loyalty.     

CUSTOMER SERVICE IN THE INTERNET‐ENABLED LOGISTICS SUPPLY CHAIN: WEBSITE DESIGN ANTECEDENTS AND LOYALTY EFFECTS

This article extends the existing research on logistics customer service‐loyalty relationships to the online logistics supply chain environment by examining potential website determinants of logistics customer service quality. A structural equation analysis of 373 online shopping transactions suggests that perceived quality of all logistics customer service activities (perceived cycle time, in‐stock availability, and customer responsiveness) varies inversely with: (1) perceived ease of use, and (2) content vividness of the website; and positively with product information content. However, only retailer customer responsiveness assessment was found to have any significant influence on consumer intended loyalty behavior in Internet‐enabled supplies chains.     

Customer perceived value,satisfaction, and loyalty: the role of willingness to share information

This study proposes and tests an integrative model to examine the relationships among customers’ willingness to share information, satisfaction, perceived value, and loyalty in a retailing context. This study extends research on customers’ willingness to share information from trust and privacy concerns toward key outcome measures such as perceived value, customer satisfaction, and loyalty, and is thus among the first to model customers’ willingness to share information with companies in robust theoretical retailing frameworks. The proposed relationships were tested using data from two retailing contexts – groceries (N = 429) and do-it-yourself (DIY) (N = 895). Findings from the two samples suggest that both perceived value and satisfaction are significant determinants of customers’ willingness to share information with a company. Although some differences emerge in the two studies, structural modeling largely supports the hypothesized framework and positions customers’ willingness to share information as an important antecedent of their loyalty intentions and behavior. This study provides practitioners with preliminary insight into the relationship between willingness to share information and perceived value, customer satisfaction, and customer loyalty. This study advances retailing research, as it is one of the few empirical studies investigating the role of customers’ willingness to share information in driving loyalty and its relationship with perceived value and satisfaction in a retailing context.     

Price transparency reflects assurance and reliability

This paper aims to examine the effect of price transparency on assurance, reliability and customer loyalty in the case of Wal-Mart Best Price Store. A total of 402 usable responses were gathered from customers of Wal-Mart store in Bhopal (MP), India. The study scales were refined and validated by exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The AMOS 22.0 and SmartPLS 3.0 statistical programmes were used for measurement validation and to test the structural model. The results indicated that the price transparency has a significant effect on assurance and reliability to ensure customer loyalty. Also, the study did not find a direct effect of price transparency on customer loyalty. The identified dimensions of price transparency are expected to bring clarity to the issue of customer assurance, reliability and loyalty. This would help the management of the retailing sector. The study seems to offer opportunities to understand that only price transparency is not responsible for improving customer loyalty. It influences assurance and reliability which further increase customer loyalty.     

Adherence to customer loyalty programmes and changes in buyer behaviour

This study examines the factors that influence the effectiveness of customer loyalty programmes to cause a change in consumers' behaviour in retailing services. In particular, three explanatory variables are analysed: the quality of service offered to the customer, her/his trust in the company, and her/his attitude towards loyalty programmes. The results obtained indicate that a change in the buyer's behaviour is directly influenced by her/his loyalty to the retailer and by her/his attitude towards loyalty programmes. Furthermore, an indirect effect on changes in buyer behaviour caused by the quality of service and the consumer's attitude towards loyalty programmes is observed.     

Service value and switching barriers: a personal values perspective

This research aims to investigate how customers, the key actors in a service relationship, perceive service value and switching barriers. The study is framed along the means-end-chain theory of personal values and theory of customer resources in the service-dominant logic. Hypotheses about the impact of personal values on customer value, switching barriers and customer loyalty were tested using structural equation modeling of survey data obtained from the health care and retail banking sectors in Vietnam. The results show that in both sectors, personal values have a significant impact on perceived process and outcome value as well as on perceived economic and relational switching barriers. Economic barriers were found to affect loyalty in the banking sector, in the same way that relational barriers affect loyalty in the health-care sector only. Loyalty in both sectors is influenced by process but not by outcome value. The implications of these findings are discussed.     

The service quality–loyalty relationship in retail services: does commitment matter?

The marketing literature has produced two schools of thought on the cause of customer loyalty in services industries. The service quality perspective puts forward that service quality evaluations substantially drive customer loyalty in services industries. The relationship marketing perspective puts forward that customer commitment to the service provider substantially drives customer loyalty in services industries. In addition, commitment is a complex construct with at least two forms, one based in liking and identification (affective commitment) and one based in dependence and switching costs (continuance commitment). These positions were examined in an integrated model of retail–service relationships. It was found that affective commitment and continuance commitment were mainly partial mediators of the service quality–loyalty relationship. It was also found that affective commitment to the retailer had a positive impact on customer loyalty while continuance commitment in marketing relationship had a deleterious effect on customer loyalty.     

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.     

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.     

The omnichannel continuum: Integrating online and offline channels along the customer journey

This paper provides a framework for conceptualizing omnichannel integration as a continuum, identifies phenomena that determine how firms should position along that continuum, and summarizes empirical research regarding these phenomena. The framework combines the customer journey (search to purchase to aftersales) and channel choice (online vs. offline). This generates a range of omnichannel strategies, anchored by “Unconnected” on one extreme and “Complete” on the other. In between, “Vertical” strategies integrate channels over the customer journey, while “Horizontal” strategies integrate across channels at a given stage in the customer journey. We draw on more than 200 articles to identify 10 consumer and marketing phenomena (“determinants”) that influence where a firm should position along the continuum. This however raises challenges. For example, empirical research surprisingly finds many customers belong to an offline-focused segment. This suggests a Vertical strategy linking offline channels. However, today's turbulent retail environment questions whether the offline-focused segment will endure. Should the retailer cater to offline-focused customers or facilitate their progression to “multichannelism”? Another finding is that consumers strongly prefer consistency across channels. This suggests a Horizontal strategy. However, consistency might create channel cannibalization. How can the retailer avoid this? We discuss these and several other findings regarding the impact of the 10 determinants on omnichannel continuum strategy. We identify issues researchers need to research and managers need to consider when developing omnichannel continuum strategy.     

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.     

Engaging and retaining customers with AI and employee service

Artificial intelligence (AI) permeates in service organisations as a tool to enhance operational efficiency and improve customer experience. Reports show that most consumers prefer human interactions with service employees. Drawing on this observation, the current study examines how customers' service experiences with employees and AI influence customer engagement and loyalty. Customers’ emotional intelligence is proposed as a moderator between service experience and customer engagement. The study was conducted with hotel customers in Australia. The results show that whilst both service experience with employees and AI are significantly related to customer engagement and loyalty, only certain dimensions make significant unique variances in the outcome variables. The findings indicate that customers prefer employee service. These service experiences also have significant partial mediation effects on customer loyalty. Emotional intelligence has a significant moderation effect on customer engagement. Discussion of these findings and implications derived from this study concludes this paper.