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Artificial intelligence (AI) technology has revolutionized customers' interactive marketing experience. Although there have been a substantial number of studies exploring the application of AI in interactive marketing, personalization as an important concept remains underexplored in AI marketing research and practices. This study aims to introduce the concept of AI-enabled personalization (AIP), understand the applications of AIP throughout the customer journey and draw up a future research agenda for AIP.

Drawing upon Lemon and Verhoef's customer journey, the authors explore relevant literature and industry observations on AIP applications in interactive marketing. The authors identify the dilemmas of AIP practices in different stages of customer journeys and make important managerial recommendations in response to such dilemmas.

AIP manifests itself as personalized profiling, navigation, nudges and retention in the five stages of the customer journey. In response to the dilemmas throughout the customer journey, the authors developed a series of managerial recommendations. The paper is concluded by highlighting the future research directions of AIP, from the perspectives of conceptualization, contextualization, application, implication and consumer interactions.

New conceptual ideas are presented in respect of how to harness AIP in the interactive marketing field. This study highlights the tensions in personalization research in the digital age and sets future research agenda.

This paper reveals the dilemmas in the practices of personalization marketing and proposes managerial implications to address such dilemmas from both the managerial and technological perspectives.

This is one of the first research papers dedicated to the application of AI in interactive marketing through the lenses of personalization. This paper pushes the boundaries of AI research in the marketing field. Drawing upon AIP research and managerial issues, the authors specify the AI–customer interactions along the touch points in the customer journey in order to inform and inspire future AIP research and practices.

This paper aims to explore the realm of literature about personalization of digital library services. This paper focuses on users’ unique needs and will identify different types of personalized services. Therefore, this study has identified different types of services personalization in the context of digital academic libraries.

In this research, the systematic review method has been used to obtain the relevant indicators of different types of personalization in the context of libraries. To explain basic indicators, a Delphi method has been used. The Delphi panel’s members consisted of 15 experts (faculty members, researchers, professional users and software designers). A purposeful sampling and the Delphi fulfillment process were performed in three rounds. After collecting data, descriptive statistics (mean and standard deviation), inferential statistics (binomial distribution test) and the Kendall coordination coefficient were used to determine the consensus rate among experts.

A total of 103 indicators were extracted for different types of personalization through a systematic literature review. Of these, 90 indicators were considered significant in the experts’ view. Generally, content personalization, interactive personalization, collaborative personalization and information retrieval personalization are the main components of personalization types, each of which has its own indicators.

This study has dealt with the issue of what is personalized in the context of digital academic library. The findings should be helpful and effective in the development of a holistic view on personalization of services in digital libraries.

The purpose of this paper is to explore the role of emotions in developing customer engagement and brand image during virtual service interactions. The authors explore the concept of engagement platforms (EPs) and how their extrinsic characteristics or cues (i.e. C2C interactions–and personalization-related cues) originate both non-transactional (i.e. customer engagement and brand image) and transactional (i.e. purchase intentions) responses. Specifically, the authors propose that customer emotions (i.e. pleasure, arousal and dominance) mediate the influence of EP cues on customer responses. The authors also analyze how the engagement developed during interactions in EPs contributes to brand image perceptions and the effect of these two concepts on purchase intentions.

Building on servicescapes and stimulus-organism-response theories, the present paper carries out two studies. Study 1 adopts an experimental approach to explore C2C interactions–and personalization-related cues. Study 2 focusses on the importance of customer emotions to foster engagement and brand image, and also analyzes their effect on purchase intentions. It employs structural equations modeling techniques. Both studies analyze the effect of customer engagement on brand image.

Findings corroborate that, during interactions in the platform, customer engagement with the firm influences brand image. Moreover, the pleasure and arousal experienced by customers influence their engagement while dominance modifies brand image. Finally, customer engagement and brand image have a positive effect on purchase behavior.

This paper contributes to research demonstrating the key role of emotions in interactions with EPs. The authors demonstrate the importance of fostering pleasant and arousing experiences to enhance the level of customer engagement with the firm in first interactions. Dominance constitutes a key dimension to improve brand image in EPs. Finally, the research demonstrates that engagement develops customers’ transactional behaviors and not only non-transactional ones, as seen in previous literature.

In digital worlds, EPs emerge as touch points beyond purchase that allow individuals to integrate resources and co-create value between them and with the firm. Despite the interest of BCPs, few works have analyzed how interactions with these platforms and the elicited emotions contribute to developing customer engagement and brand image, key factors for understanding customer participation and behavior in interactive media.

The purpose of this paper is to explore whether brand community characteristics (perceived personalization and familiarity among members) affect brand community engagement through customer-to-customer (C2C) interaction.

A survey questionnaire was distributed to members of online brand communities to test the research hypotheses.

The findings showed that the relationships among the brand community constructs are significant. C2C interaction mediates the relations between the characteristic variables and brand community engagement. Furthermore, the findings revealed that brand community trust moderates the effects of perceived personalization on the quality of C2C interaction and on brand community engagement. It also moderates the relations between perceived familiarity among community members and each of brand community engagement and the quality of C2C interaction.

Marketers should utilize a brand community’s C2C interaction for its marketing strategies. Moreover, managing brand communities by focussing on perceived personalized service and the familiarity of members can also ultimately increase community engagement by enhancing the quality of C2C communication.

This study argues that firms need to manage online brand communities intuitively in order to increase members’ community engagement. To do so, they need to allocate spaces in which C2C communication can actively occur within brand communities, for example, in a discussion forum.

Drawn from the P-A-D approach, the purposes of this study are (1) to investigate the impacts of website attributes on emotional branding process, and (2) to examine the mediating effects of three affective dimensions of pleasure, arousal and dominance on behavioral response towards the fashion brand website.

By employing the quantitative approach of survey method, data were collected in the US and a sample of 220 participants was used for the analysis. Structural equation modeling analysis was conducted to identify hypothesized relationships in the research model.

Fashion brand website attributes were found to influence consumer affective experiential states and behavioral responses on emotional branding. Specifically, the mediating effects of the dominance and arousal dimensions were of interest to predict the pleasure dimension, leading to a positive response towards the brand. Positing arousal and dominance as predictors of the degree of pleasure on brand website were accentuated in emotional branding.

This study signifies the role of affect in the emotional branding on websites. Given the academic and practical significance of emotional branding on websites, the findings of the current study provide insights into fashion brands through making possible a fuller understanding of the underlying process of building emotional branding and of how to embed it into consumers' minds when they experience the fashion brand website.

Technology now allows e‐tailers to customize online store atmosphere at the individual level, with the customization controlled and executed by either the retailers or the customers, or both. Since in conventional retailing the manipulation of store atmosphere is controlled mainly by retailers (e.g. store layout, product display techniques, store theatrics, etc.), the potential for mass customization with consumer involvement radically changes the way research regarding online store atmosphere must be approached. Positioned in the e‐tailing research area, the purpose of this paper is to summarize the research challenges presented by virtual store atmosphere customization and control and to formulate specific research propositions.

This viewpoint paper employs an interdisciplinary “desk‐research” approach. It elaborates on the emerging research challenges of customizing store atmosphere in electronic retailing highlighting the differences that exist among the conventional and the virtual retail channels. It then justifies the interdisciplinary nature of store atmosphere studies, investigates the customization challenges available online and formulates specific research questions and direct research propositions.

E‐tailing store atmosphere customization capabilities at the individual level, revolutionizes the established relevant theory from conventional retailing. However, the control of the customization process is a quite complex issue and should be treated as that, by e‐tailers.

The paper sets the research agenda and builds avenues for further research.

The paper provides direct managerial implications for effectively placing online store atmosphere customization in the hands of the consumer‐user.

The paper clearly justifies why current online store atmosphere studies should be adapted to the mass customization challenge applicable online. Similarly, it demonstrates the promising role that consumer control could potentially play on this topic.

The ability to acquire and process consumer information online has provided web‐based vendors with the ability to personalize their merchandising at a very low cost. However, empirically establishing the expected positive effect of personalized merchandising has been difficult for practical as well as financial reasons. The aim of this paper is to compare the effectiveness of personalized vs random merchandising on consumers' attitudes and behaviors.

A longitudinal subject experiment comparing standardized vs personalized merchandising was adopted. A fictitious web site was created for the purposes of the study.

Personalized items led to more clicks than random suggestions. Moreover, a positive attitude towards personalization enhanced the attitude towards the web site.

Even if credibility was enhanced thanks to the web site design, the research suffered from a lack of external validity. Additionally, the procedure prevented us from observing any potential effect on basket size.

A strategy of personalizing the content appeared to be relevant for web site managers. They should use “close” recommendations rather than “broad” recommendations and present a moderate number of personalized suggestions.

The research is one of the few online experiments with a longitudinal perspective, which is considered necessary when studying consumers' reactions to the personalization “process”.

Increasingly, customers are demanding products that fit their individual needs. Many firms respond by cultivating product individualization via mass customization, often integrating this capability via interactive platforms that connect them with customers. Despite such customization, research to date has lacked cohesion, often taking the organizational, rather than customer, view. The purpose of this paper is to provide inconclusive theorizing in regard to customization from the consumers’ perspective.

The review and synthesis of the literature revealed that co-configuration is an underexplored domain of mass customization. Consequently, an initial conceptualization of co-configuration is developed and compared with current customization strategies. Specifically, the definition and boundary conditions of co-configuration are compared with three domains of mass customization, namely, co-production, co-construction and co-design. This led to the development of research priority areas to establish an agenda for future research on mass customization and its role in customer’ firm relationships.

This paper provides the delineation of four distinct consumer customization strategies, conceptualized in a matrix, and proposes separate customer journey visualizations. In advancing the theoretical understanding by means of a unifying typology, this paper identifies three existing Cs of mass customization (co-production, co-construction and co-design) and focuses specifically on a fourth (co-configuration), identified as an understudied mass customization strategy.

This paper extends the previous conceptualizations of mass customization comprising co-production, co-design and co-construction. The proposed typology establishes a foundation for four research priority areas that can improve both academic rigor and practical application.

Advances in technology have given rise to an increased demand by small businesses for personalised e-government services. Given the importance of small businesses to the Australian economy, it is vital to deliver small business-centric services that offer potential to generate value. To do that effectively, government departments need to understand factors that affect small business. The purpose of this study is to explore how preferences for personalised services and the use of intermediaries affect small business participation behaviour and, in turn, stimulate positive outcomes that are of interest to the government.

This study draws on secondary data from a survey of 800 Australian small businesses about the digital services offered by a large government department. Structural equation modelling was used to empirically test the model.

The findings demonstrate that whilst preference for personalisation has a positive relationship with participation behaviour, reliance on an intermediary does not. While such behaviour fosters emotional connection and perceptions of partner quality, the results of this study show no significant impact on satisfaction.

This study advances knowledge about how small businesses can gain value from personalised support services. Importantly, it focuses on participation behaviour and small business – both of which are largely absent from existing studies. The findings can assist government departments to design personalised services that are valued by small businesses.

Recently, ancillary services' (e.g. bag processing, preferred seating) contribution to the overall air travel revenues has become substantial. Yet, no study to date has addressed how these services are purchased. This study aims to investigate air travelers' adoption of mobile phones to purchase ancillary air travel services.

A comprehensive structural model was developed based on the Technology Acceptance Model and augmented with constructs like trust, privacy, security, innovativeness, and personalization. The model was validated using confirmatory factor analysis and structural equations modeling.

The model explained 84 percent of the variability in intentions to use mobile phones to purchase air travel ancillary services. The strongest predictor of attitudes was perceived usefulness, followed by perceived ease of use and trust.

First, this study's extended theoretical framework was well supported, as it captures relevant system perceptions (e.g. usefulness, ease of use) and personal traits of consumers (e.g. innovativeness), thus extending the classic paradigmatic approach to technology adoption beyond system beliefs. Second, the study explains the relationships among trust, security, and privacy in m-commerce. Third, this study explicates the roles of innovativeness and personalization, which have not been examined in the context of m-commerce in travel.

This study offers managers an understanding of factors leading to adoption of mobile phones for purchasing air travel ancillary services.

This study provides a first theoretical perspective on the purchasing behavior of services that have not been studied so far, but have an increasingly substantial financial significance for the airline industry.