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This paper explores the online customer experience (OCE) within business-to-business (B2B) websites. The purpose of this paper is to understand the influence of website credibility and information quality on the OCE during search for information and services. In addition, this paper acknowledges the role of customer support within the offline environment and thus explores the potential role of online customer support during a customer’s online experience.

An online experiment was conducted with 195 participants along with an associated questionnaire for data capture. Three tasks were developed for participants which they had to complete on three different business advisory websites. The online experiment gave all participants the experience of using a business advisory website. In order to analyse the hypothesised relationships, structural equation modelling was used.

The results outlined that the credibility of the website and the quality of the information on the website have a significant effect on the OCE in a B2B context. The research highlights the need for online customer support with a service representative during search on a B2B website. The credibility of the website as well as the success of the search drives the need for online customer support. The lack of online customer support will result in customers becoming dissatisfied with their experience if they have an unsuccessful search.

Managers of B2B websites should acknowledge the importance of website credibility cues and information quality cues. Each of these variables drive the success of a customer’s search and in turn the customer’s impression of the experience. Additionally, managers ought to provide customers online support, through functions such as an online help desk or a live chat function, as those who have an unsuccessful search expect to be able to seek online support from a company representative, the same way as they would do in the offline environment. Online customer support can act as a service recovery tool for website providers.

Empirical research on the OCE within B2B websites is limited and somewhat out-dated. Due to technological advancements and changing customer expectations, this research has filled a knowledge gap on the OCE in a B2B perspective. Website credibility and information quality have been overlooked in previous research in relation to the OCE. In addition, this study outlines the need for online customer support resulting from the need to clarify information and the success of the search.

E‐services are important in B2C e‐commerce for managing customer relations and enhancing sales. In the electronic world the customer and the merchant do not meet face‐to‐face, and the clients are more discerning with increased options and solutions available to them online. With the click of a mouse a customer can find another provider. As customers embrace e‐commerce their expectations about service, support, and how they make purchases are changing. Services to customers offered electronically to enhance their online shopping experience include search support, e‐response to customer queries, orders and transactions, e‐payment, e‐transaction record management, e‐assurance and trust, e‐help and other online support in the B2C e‐space. This paper discusses the role of e‐services in B2C e‐commerce and how they can be applied to enhance the online customer shopping experience. Findings of two research projects that shed some light on both business and customer perspectives of the role of e‐services in the B2C e‐commerce are launched in this paper.

In an era where complex technological advances increasingly govern service delivery, it is incumbent on service firms to pioneer innovative strategies to sustain customer engagement and cultivate loyalty. This conceptual paper examines the transformative potential of artificial intelligence (AI) in the realm of online customer communities, with a particular focus on its creation, management and enhancement facets. The authors explore how AI can revolutionize the dynamics of customer interaction, feedback mechanisms and overall engagement within the service industry.

This conceptual paper draws from marketing and management literature focusing on customer communities and AI in service and customer engagement contexts with a robust future research agenda.

A classification of online customer community engagement is provided along with a conceptual framework to guide our understanding of the integration of AI into online customer communities.

This exploration underscores the imperative for service firms to embrace AI-driven approaches to online customer community management, not only as a means to optimize their operations but as a vital strategy to stay competitive in the ever-evolving digital landscape. This paper examines the novel combination of AI with online customer communities and provides the framework in the form of an input-process-output (IPO) model for future research into this integration.

The purpose of this study is to investigate consumers' post–purchase experience when buying fresh food online. It examines the key dimensions of post–purchase online customer experience (post–purchase OCE) that impact customer satisfaction and repurchase intention. It also explores the role of corporate image as a moderator.

An online survey was conducted in China to capture participants' post–purchase OCE, satisfaction, repurchase intention and perceived corporate image. Partial least squares structural equation modelling (PLS-SEM) was utilized to analyse data collected from 317 Chinese fresh food online shoppers. Moderated mediation analysis was conducted to analyse the moderating effect of corporate image.

Four post–purchase OCE dimensions “product-in-hand”, “customer support”, “benefits” and “packaging” significantly drive customers' repurchase intention by enhancing customer satisfaction. “Delivery” is not influential. Additionally, for firms with a good corporate image, customer repurchase intention is more easily affected by post–purchase OCE than firms with a lower level of corporate image.

The findings inform fresh food e-commerce firms of the critical post–purchase OCE dimensions that mostly drive customer satisfaction and help retain customers. Furthermore, it implies that firms with a good corporate image must provide high-quality post–purchase OCE that matches the image because the consequences associated with a poor post–purchase OCE can be severe.

This research is among the first to investigate fresh food post–purchase OCE. It also introduces the previously underexplored moderating role of corporate image.

The boom in livestreaming commerce (LSC) has brought significant changes to social interaction methods. Understanding customer engagement in LSC is critical for online sellers who try to enhance the social influence and improve marketing effectiveness of LSC. Based on the stimulus–organism–response (S–O–R) paradigm, this study aims to develop a model to investigate the effects of perceived attributes of LSC (real-time interaction, perceived proximity and perceived authenticity) on social support (informational and emotional support) and subsequent engagement.

An online survey is conducted to collect data from LSC customers, and data are analyzed using SPSS and SmartPLS.

The results indicate that informational and emotional support are positively affected by real-time interaction, perceived proximity and perceived authenticity. In turn, informational and emotional support enable and mediate the prediction of customer engagement intention in LSC.

Prior LSC studies tend to focus on the motivation influencing LSC engagement from the perspective of perceived value. This study confirms the importance of perceived attributes of LSC in driving customer engagement from the perspective of social support.

The purposes of this paper are to test sources of brand equity for online companies and to examine the role of selective internet marketing activities on the brand equity sources.

These objectives were pursued by testing the nomological validity of the model using structural equation modelling.

The paper finds evidence for the proposed sources of brand equity for online companies based on brand awareness and recognition, brand association (trust) and loyalty. The investigated antecedents namely functionality, fulfilment and customer service on line, significantly influence the sources of brand equity.

The study is cross‐sectional, the dimensions to measure sources and antecedents of brand equity may not be comprehensive enough. The stimuli represent only a few online retailers.

Businesses are well advised to invest resources in creating brand recognition, customer loyalty and trust. Both of these can be achieved by developing internet marketing efforts around functionality, fulfilment of the promise and customer service support.

The nomological validity of the measurement and structural models for companies that operate on the internet, constitute a modest contribution. It is believed that a model, which integrates both, creates a more systemic view of brand equity. Apart from this one, there is no other study measuring the impact of internet marketing activities on brand equity sources.

This paper analyses how the purchase channel and customer complaint goals affect the sequential choice of post–purchase complaint channels when customers experience a service failure followed by a service recovery failure (double deviation).

An online survey involving a scenario manipulation was conducted with 577 apparel shoppers. The study employs multi-group latent class analysis to estimate latent customer segments within both online and offline groups of shoppers and compare latent classes between the two groups.

The results show that the purchase channel has a lock-in effect on the complaint channel, which is stronger for offline buyers. Moreover, there is evidence of channel synergy effects in the case of having to complain twice: shoppers who complain in store in the first attempt turn to online channels in the second complaint attempt, and vice versa. Complaint goals shape the choice of complaint channels and define different shopper segments.

The present study is the first to adopt a cross-stage approach that analyses the dependencies between the purchase channel and the complaint channel used on two subsequent occasions: the first complaint after a service failure and the second following a service recovery failure.

Purchasing behaviour across traditional retail and internet routes to market is becoming increasingly integrated. The positive and negative consequences of such behaviour for multi‐channel businesses have not been thoroughly examined – while an offline retail presence may reassure customers purchasing from an online channel, poor service online may negatively influence customer usage of an offline channel. This paper aims to address this issue.

A questionnaire survey of the online customers of four companies is employed and structural equation modelling used to investigate influences of demographic and behavioural variables (purchase involvement, loyalty, experience with the internet, company and product‐type) on positive and negative cross‐channel behaviour (CCB).

Strong evidence for both positive and negative customer CCB is found. Females, higher purchase involvement, higher loyalty and those with more experience of the company were more likely to display positive CCB; higher education, experience with the product type and online channel negatively influenced positive CCB. Increased age, education, occupation/class and purchase involvement lead to more negative CCB; product and company experience lead to reduced levels of negative CCB.

As a first step towards understanding of customer CCB the research generates many insights; however, more research is required to explore in more depth each of the constructs discussed and measured.

Understanding how different customer groups display different tendencies for CCB can help companies shape fulfilment and delivery strategies across different channels to market.

The study makes contributions to customer cross‐channel customer behaviour, developing implications for future research as well as management practice.

The advent of e-retailing has created multiple options for customers. Hence, most important concern is to identify the experience which entices customers for repurchase from the one particular e-retailer. This paper tries to identify the customer experience with reference to activities happening post-purchase. The purpose of this paper is to develop and validate online post-purchase customer experience (OPPCE).

The methodology of this scale development study starts with skimming of relevant literature to identify the knowledge gap and prepare a theoretical background for the study. Then scientific method is applied for scale creation. First, items of the scale been identified through interviews of online shoppers and marketing experts. Then the major dimensions were identified through exploratory factor analysis applied on the data collected from active shoppers, who transacted online in last six months, with the help of a structured questionnaire survey. These data are analyzed through structural equation modeling to validate the scale.

The study yields that the scale for measuring OPPCE is multi-dimensional. It has six dimensions, i.e. delivery, product-in-hand, return and exchange, customer support, benefits and feel-good factors. The proper focus on the items of these dimensions can help e-retailers improve customer experience and increase repeat purchase.

Post-purchase activities have a significant impact on customer and their repeat purchase intensions. But it has not received its due attention particularly in the online context. Hence, this paper fills this knowledge gap and gives e-retailers a tool to enhance their customers’ experience.

The purpose of this study is to present a systematic review of the online service failure (OSF) literature and conduct an exhaustive analysis of academic research on this emerging research area.

The current study has adopted a structured systematic literature review approach to synthesize and assess the OSF literature. Further, the study uses the Theory-Context-Characteristics-Methodology (TCCM) framework to propose future research directions in the OSF domain.

This systematic review shows that OSF research is still developing and remains mainly incoherent. Further, the study develops a conceptual framework integrating the frequently reported antecedents, mediators, moderator and consequences in the extant literature. This review also synthesizes the theoretical perspectives adopted for this domain.

The study followed specific inclusion and exclusion criteria to shortlist articles. Further, articles published only in the English language were considered. Hence, the findings of this review cannot be generalized to all OSF literature.

This systematic review has classified antecedents into customers' and service providers' roles which will enable online service providers to understand all sets of factors driving OSF. It also synthesizes and presents service recovery strategies and emphasizes the role of online customer support to fix OSF.

The OSF literature is still developing and remains highly incoherent, suggesting that a synthesized review is needed. This study has systematically reviewed and synthesized the OSF literature to study its development over time and proposes a framework which provides a comprehensive understanding of OSF.