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Service branding research predominantly focuses on the purchase and postpurchase stages of the customer journey. This study aims to expand the lens of enquiry to the prepurchase stage, showing the role service brand awareness and service brand retrieval play before customer experiences and relationships can be established.

The research presents and empirically examines a new framework that links service brand awareness and service brand retrieval to key “battlegrounds” in the prepurchase stage of the customer journey: entry into the Awareness Set, Consideration Set and Repertoire Set. The empirical work draws on data from both services and goods markets from two UK-based consumer surveys (N = 771 and N = 270, respectively).

The findings indicate that, prepurchase, service brands compete most intensively to establish and reinforce a broad array of memory associations, rather than a specific corporate or brand image.

To improve the generalizability of the conclusions drawn, the findings of this study should be replicated in additional service categories and consumer samples.

The findings translate into novel, long-term strategies for the management of service brands at the prepurchase stage of the customer journey, especially opportunities for effective and creative marketing communications.

This study contributes to marketing research and practice by introducing the notion of service brand retrieval and highlighting its role, together with service brand awareness and prepurchase.

States that marketers require a better understanding of the consumer decision‐making process for selecting services, particularly of the prepurchase information search for professional services which are often selected just after relocation to a new geographical area. Examines the findings of research on this topic, which looked at questionnaires returned by a sample of two hundred new residents about their use of information sources in choosing a professional service. Discusses the managerial implications for marketers of the results of the study, which confirmed the importance of personal sources of information in the search process and showed that most residents were happy with their choices.

As Chinese imported cross-border e-commerce has entered a stage of rapid development, the problem of consumer shopping risk is increasingly prominent and the crisis of consumer trust is intensified. The theory of establishing consumer trust in traditional online shopping can no longer meet the need of cross-border context.

The researchers used the methods of network logs and grounded theory. The data collection and analysis are conducted on consumer comments from Tmall Global, NetEase Koala and JD Worldwide in the product comment area. This article explored and extracted the moderating variables of consumer perceived risk and cross-border characteristics in cross-border e-commerce. Based on the theory of “perceived risk – consumer trust – consumer purchase decision – making,” this article deduced mechanism of consumer dynamic trust based on the whole process of cross-border e-commerce transaction.

In the prepurchase, purchase and postpurchase stages of cross-border e-commerce transactions, consumers' perceived cognitive risk, transaction risk and utility risk are moderated by the cultural distance, geographical distance and institutional distance caused by the cross-border transaction subjects. On this basis, the preinfluence factors of trust in each transaction stage are synthesized to respectively influence the establishment of cognitive trust, emotional trust and behavioral trust, so as to affect consumers to make the order payment, confirm receipt and praise repurchase decisions. At the same time, with the advance of prepurchase, purchase and postpurchase transactions in cross-border online shopping, consumer trust presents a dynamic evolutionary path of “cognitive trust – emotional trust – behavioral trust.”

This article expands the application context of the theory of consumer rational behavior from traditional online shopping to the context of cross-border online shopping and expands the scope of interpretation of the theory of consumer rational behavior. This article also supplements the theoretical gaps in the dynamic evolution of consumer trust in cross-border online shopping, enriches the decision-making process model of consumers in the context of cross-border online shopping and provides new ideas for follow-up research.

Pricing the shipping surcharge is a major strategic decision for online retailers, and free shipping promotions are becoming more common among online retailers. The purpose of this research is to examine the effect of last mile pricing strategies on customer attraction and retention in the hypercompetitive online retailing industry. Specifically, this paper investigates the effect of partitioning the shipping surcharge on consumer logistics service quality (LSQ) perceptions and, in turn, purchase behavior.

Employing signaling theory and expectation–disconfirmation theory, hypotheses are derived for two specific points in an online purchase scenario: prepurchase and following a logistics disruption. The hypotheses are tested using a scenario-based experiment with manipulations for the level of shipping surcharge partitioning and the presence of a logistics disruption.

The results suggest that partitioned shipping surcharges influence prepurchase expectations of LSQ satisfaction and amplify the negative effects of logistics disruptions. This, in turn, drives the purchase and repurchase intentions.

The findings inform online retailers of the perceptual and behavioral effects of last mile pricing strategies. Specifically, this research demonstrates how and under what conditioning partitioning the shipping surcharge can influence the attraction and retention of online customers.

This study integrates pricing and LSQ research to assess the black box of consumer purchase behavior. This is one of the first studies to empirically contrast the effects of last mile pricing strategies on consumer expectations and perceptions of LSQ.

This study aims to determine how to influence the customer journey of mobile food ordering applications (MFOAs) users. It researches how available information could influence customers’ intention to use MFOAs platforms in the prepurchase stage and explores the potential of personalized information to improve customer satisfaction with these services in the postpurchase stage.

This research followed a mixed design, combining qualitative (focus groups) and quantitative (online survey) research and using both content analysis and partial least squares structural equation modeling.

Two types of available information (firm-generated information and online customer reviews) had a positive influence on the behavioral intention to use MFOAs. Additionally, findings showed that different web personalization strategies, namely, content personalization, functional personalization and system-driven personalization, were useful tools to create customer satisfaction with this type of platform.

The study discusses limitations regarding the sample and sampling process, indicator variables and measures.

The present research provides actionable insights for online food delivery providers.

This study addresses a research gap in the literature and provides a novel and richer understanding of customer behavior toward mobile food delivery platforms. Also, it adds to the personalization research by identifying and testing a range of web personalization strategies.

The purpose of this study is to examine the satisfaction formation process under conditions of varying involvement for new, nontraditional, credence‐based service offerings.

Hypotheses were tested using an on‐line simulation of a service encounter, beginning with perceptions of an advertisement and continuing through satisfaction with the completed service report. ElderCare, an assurance service provided by Certified Public Accountants to the children of an elderly parent, was the context of study.

The findings indicated expectations were not influential in the satisfaction formation process for these services, regardless of involvement. Under conditions of high involvement, performance evaluation was the dominant predictor of satisfaction. Low‐involvement subjects used disconfirmation to assess satisfaction.

Limitations of the research stem from the use of a convenience sample in a simulated service encounter. Future research should examine the influence of individual characteristics, particularly innovation, on the results. Additional research examining the determinants of model variables, from disconfirmation to involvement, across subjects in a variety of situations would also be valuable.

This research suggests a heightened need to guide the consumer experience where expectations are hard to develop and performance is hard to evaluate. Providers should carefully spell out key service dimensions, provide tangible information about performance outcomes for high‐involvement individuals, and focus on emotional appeals, provider qualities and sensory aspects of the service for low‐involvement individuals.

This paper helps researchers and practitioners better understand the applicability of expectancy disconfirmation theory and role of involvement in the context of new, nontraditional, credence‐based services.

Various consumer-facing artificial intelligence (AI) applications are used to interact with consumers at all purchase stages, and related research has sharply increased. This study aims to synthesize the literature related to consumer–AI interaction using the customer journey framework, identify the factors affecting AI's effectiveness in interactive marketing and offer an agenda for future research.

This study undertakes a framework-based systematic review of 239 articles on AI in marketing from the consumer perspective published in peer-reviewed journals from 2007 to 2021.

This review identifies the roles of AI touch points and factors affecting the acceptance and effectiveness of consumer–AI interaction in each stage of the customer journey.

This study is the first to review the existing literature using a customer journey framework to identify the factors that influence customer interactions with AI touch points at each purchase stage and pave the way for future research.

The purpose of this paper develops a conceptual model of social influence for Internet banking adoption (IBA) using social networking platforms (SNPs). It identifies the antecedents of social influence that can positively and negative influence the IBA among a targeted population of conventional and Islamic banks. Moreover, this paper contributes various factors to social influence theory with the purpose of enhancing its implication in the context of Internet banking uptake in developed and developing countries.

This study uses a social constructivism approach to understand customer experiences, thoughts, knowledge, awareness and perceptions in relation to IBA. For this study, data were collected from 30 respondents using semi-structured interviews and purposive sampling.

Social influence comprises customer recommendations, suggestions, ratings, reviews, experiences and thoughts regarding the IBA of Islamic and conventional banks. The findings reveal that social reviews, social experts, social consensus, social responsibility and social perceptions are the key antecedents of social influence that can enhance IBA of SNPs. The research finds that positive social reviews, expert support, consensus, social responsibility and social perceptions are significant in relation to conventional Internet banking. The respondents revealed serious concerns about the privacy of their personal and financial information especially in relation to Islamic banks.

The effective and well-organized use of SNPs can foster service reviews, word of mouth, higher levels of service awareness, interactive communication, social consensus and social trust to drive the adoption of Internet banking. This study proposes the conceptual model which has positive business implications and provides the banks direction to use the SNPs to their advantage to influxes their customers to adopt the use of Internet banking.

Most previous studies have used technology acceptance model, theory of planned behavior and unified theory of acceptance and the use of technology theories in the adoption of technology and IBA. These theories have not fully illuminated the role of social content as a way to enhance or decrease the number of customers in conventional and Islamic banks. This study develops social influence theory by exploring several dimensions (i.e. social reviews, awareness, consensus, cooperation and experts support) in the context of IBA for users of SNPs. Social influence can create more reviews and can lead to more prepurchase information. It can drive customer inquiries and engagement and can inform purchase decisions for IBA. On the other hand, it can motivate existing customers of Islamic banks to use conventional banking services due to effective word of mouth.

Artificial intelligence–enabled voice assistants (VAs), such as Amazon's Alexa, Google Assistant, and Apple's Siri, are available in smartphones, smart speakers, and other digital devices and channels. Use of these VAs is growing rapidly and are expected to significantly impact purchase intentions. This article focuses on how the communications enabled and provided by these VAs influence VA evaluations and usage intentions, contingent on the stage of the customer journey.

This paper builds from work on VAs, work on artificial intelligence (AI) and work on communications, to offer a comprehensive and up-to-date understanding of how VA evaluations and usage intentions may be impacted by the communications from VAs, contingent on the stage of the customer journey.

This paper proposes a model for VA enabled communications impact VA evaluations. It builds from work on VAs, AI, communications, and customer journey management. In the proposed model, VA evaluations are not only impacted by source, message and recipient characteristics (per prior communication models), but also by (1) VA/AI specific features, like perceptions of humanness and perceptions of artificiality, and (2) stage of the customer journey.

This paper provides guidance to firms, as regards how VA communications may influence VA evaluations and usage intentions. As an initial conjecture, (1) increasing perceptions of humanness, (2) decreasing perceptions of artificiality (3) a better fit between communications style (e.g. abstract vs concrete), and request type (e.g. transactional vs informational) (4) a better fit between VA communications (e.g. information vs banter), and consumer perceptions of the VA (servant vs partner) and (5) a better fit between VA communications and the stage of the customer journey may positively influence VA evaluations and VA usage intentions.

This paper provides a fresh look at the impact of VA communications, clarifying how such communications impact VA evaluations and usage intentions at various stages of the customer journey.