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Digital platform users not only consume but also produce communication related to their experiences. Although service research has explored users' motivations to communicate and focused on outcomes such as electronic word-of-mouth (eWOM), it remains largely unexplored how users iteratively interact with communication artifacts and potentially create value for themselves, other users and service providers. The purpose of this paper is, thus, to introduce communicative affordances as a framework to advance user-created communication (UCC) in service.

Drawing from the literature in communication, service research and interactive marketing, an affordance perspective on UCC in service is introduced.

Three UCC affordances for the service context are presented – interactivity, visibility and anonymity – opportunities and challenges for service providers associated with these affordances are discussed and, finally, affordance-specific research questions and general recommendations for future research are offered.

By conceptualizing UCC in service from an affordances perspective, this paper moves beyond the traditional sender–receiver communication framework and emphasizes opportunities and challenges for service research and practice.

Instead of focusing separately on specific technologies or user behaviors, it is recommended that service managers adopt a holistic perspective of user goals and motivations, use experiences and platform design.

By conceptualizing UCC as an augmenting, dialogical process concerning users’ experiences, and by introducing communicative affordances as a framework to advance UCC in service, an in-depth understanding of the diverse and ever-evolving landscape of communication in service is offered.

Digital advertising enables retailers to rely on large volumes of data on consumers and even leverage artificial intelligence (AI) to target consumers online with personalised and context-aware advertisements. One recent example of such advertisements is programmatic advertising (PA), which is facilitated by automatic bidding systems. Given that retailers are expected to increase their use of PA in the future, further insights on the pros and cons of PA are required. This paper aims to enhance the understanding of the implications of PA use for retailers.

A theoretical overview is conducted that compares PA to traditional advertising, with an empirical investigation into consumer attitudes towards PA (an online survey of 189 consumers using an experimental design) and a research agenda.

Consumer attitudes towards PA are positively related to attitudes towards the retailer. Further, perceived ad relevance is positively related to attitudes towards PA, which is moderated by (1) consumer perceptions of risks related to sharing their data with retailers online and (2) consumer perceptions of AI's positive potential. Surprisingly, the disclosed use of AI for PA does not significantly influence consumer attitudes towards PA.

This paper contributes to the literature on technology-enabled services by empirically demonstrating that ad relevance drives consumer attitudes towards PA. This paper further examines two contingencies: risk beliefs related to data (i.e. the source of PA) and perceptions of AI (i.e. the somewhat nebulous technology associated with PA) as beneficial. A research agenda illuminates central topics to guide future research on PA in retailing.

Organizations (data gatherers in the context) drown in data while at the same time seeking managerially relevant insights. Academics (data hunters) have to deal with decreasing respondent participation and escalating costs of data collection while at the same time seeking to increase the managerial relevance of their research. The purpose of this paper is to provide a framework on how, managers and academics can collaborate better to leverage each other’s resources.

This research synthesizes the academic and the managerial literature on the realities and priorities of practitioners and academics with regard to data. Based on the literature, reflections from the world’s leading service research centers, and the authors’ own experiences, the authors develop recommendations on how to collaborate in research.

Four dimensions of different data realities and priorities were identified: research problem, research resources, research process and research outcome. In total, 26 recommendations are presented that aim to equip academics to leverage the potential of corporate data for research purposes and to help managers to leverage research results for their business.

This paper argues that both practitioners and academics have a lot to gain from collaborating by exchanging corporate data for scientific approaches and insights. However, the gap between different realities and priorities needs to be bridged when doing so. The paper first identifies data realities and priorities and then develops recommendations on how to best collaborate given these differences.

This research has the potential to contribute to managerial practice by informing academics on how to better collaborate with the managerial world and thereby facilitate collaboration and the dissemination of academic research for the benefit of both parties.

Whereas the previous literature has primarily examined practitioner–academic collaboration in general, this study is the first to focus specifically on the aspects related to sharing corporate data and to elaborate on academic and corporate objectives with regard to data and insights.

Because of the paucity of empirical research on firm-level capabilities of firms for effective customer involvement, the purpose of this study is to evaluate service firms’ capacity to coopt customers to enhance the innovativeness and firm performance relationship. This study conceptualizes involvement capabilities of service firms as a strategic driver that exploits their internal firm assets, which in turn facilitates the positive relationship between innovativeness and firm performance.

Data were collected from 344 managers of service firms across different sub-sectors in an emerging economy. The study first confirmed the constructs through confirmatory factor analysis before analyzing hypothesized relationships. Regression models were specified with robust standard errors to test the hypothesized relationships.

The study found that involvement capability of service firms helps them to exploit their relational assets and create and manage strong customer participation. Additionally, it was found that involvement capabilities enable service firms to capitalize on the competencies of customers, which in turn improves the outcomes of their innovativeness. The results showed that the interaction between involvement capability and innovativeness enhances firm performance significantly.

Service firms can enhance customer participation in the value creation process by increasing their involvement capabilities. The increase in such capabilities will enhance the innovativeness of service firms, thereby improving their financial and non-financial performance.

This study offers guidance on how a firm’s innovativeness and customer involvement work together within the service operation to enhance firm performance.

Customer service conversations are becoming increasingly digital and automated, leaving service encounters impersonal. The purpose of this paper is to identify how customer service agents and conversational artificial intelligence (AI) applications can provide a personal touch and improve the customer experience in customer service. The authors offer a conceptual framework delineating how text-based customer service communication should be designed to increase relational personalization.

This paper presents a systematic literature review on conversation styles of conversational AI and integrates the extant research to inform the development of the proposed conceptual framework. Using social information processing theory as a theoretical lens, the authors extend the concept of relational personalization for text-based customer service communication.

The conceptual framework identifies conversation styles, whose degree of expression needs to be personalized to provide a personal touch and improve the customer experience in service. The personalization of these conversation styles depends on available psychological and individual customer knowledge, contextual factors such as the interaction and service type, as well as the freedom of communication the conversational AI or customer service agent has.

The article is the first to conduct a systematic literature review on conversation styles of conversational AI in customer service and to conceptualize critical elements of text-based customer service communication required to provide a personal touch with conversational AI. Furthermore, the authors provide managerial implications to advance customer service conversations with three types of conversational AI applications used in collaboration with customer service agents, namely conversational analytics, conversational coaching and chatbots.