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Service technologies are transforming the business landscape rapidly. This paper aims to explore the current scope of research in regard to emerging service technologies by comparing the content of articles in academic journals with practitioner-oriented publication outlets.

A total of 5,118 technology-related articles from service journals, service conferences, business journals and business magazines are analyzed. Text-mining on abstracts is used for the thematic and semantic analysis. Common research themes and their relationships are depicted in a two-dimensional structured network. Further, the sample is analyzed regarding various technologies mentioned in the Gartner Hype Cycle.

The paper reveals differences in academic and business perspectives in regard to service technologies. In comparison to business journals, scientific service research is more focused on customer-related aspects of technology. Service research has a less concrete focus on technology than in business publications. Still, service conference articles show a broader scope of emerging service technologies than academic journal articles.

Scientific research should focus on more concrete service technologies. Business magazines serve as a good source for that and the paper identifies several promising new technology fields.

Although business magazines cover significantly more concrete service technologies, they miss the integrated perspective that academic articles usually offer. Academia can help business to better align concrete technologies with different internal and external perspectives.

This paper serves as an introduction to the special issue Future Service Technologies. Additionally, a quantitative study of recent service technology research serves as a reality check for academic researchers on business reality and provides research and practical recommendations.

Extant research mainly focused on potentially negative customer responses to service robots. In contrast, this study is one of the first to explore a service context where service robots are likely to be the preferred service delivery mechanism over human frontline employees. Specifically, the authors examine how customers respond to service robots in the context of embarrassing service encounters.

This study employs a mixed-method approach, whereby an in-depth qualitative study (study 1) is followed by two lab experiments (studies 2 and 3).

Results show that interactions with service robots attenuated customers' anticipated embarrassment. Study 1 identifies a number of factors that can reduce embarrassment. These include the perception that service robots have reduced agency (e.g. are not able to make moral or social judgements) and emotions (e.g. are not able to have feelings). Study 2 tests the base model and shows that people feel less embarrassed during a potentially embarrassing encounter when interacting with service robots compared to frontline employees. Finally, Study 3 confirms that perceived agency, but not emotion, fully mediates frontline counterparty (employee vs robot) effects on anticipated embarrassment.

Service robots can add value by reducing potential customer embarrassment because they are perceived to have less agency than service employees. This makes service robots the preferred service delivery mechanism for at least some customers in potentially embarrassing service encounters (e.g. in certain medical contexts).

This study is one of the first to examine a context where service robots are the preferred service delivery mechanism over human employees.

Service robots are now an integral part of people's living and working environment, making service robots one of the hot topics for service researchers today. Against that background, the paper reviews the recent service robot literature following a Theory-Context-Characteristics-Methodology (TCCM) approach to capture the state of art of the field. In addition, building on qualitative input from researchers who are active in this field, the authors highlight where opportunities for further development and growth lie.

The paper identifies and analyzes 88 manuscripts (featuring 173 individual studies) published in academic journals featured on the SERVSIG literature alert. In addition, qualitative input gathered from 79 researchers who are active in the service field and doing research on service robots is infused throughout the manuscript.

The key research foci of the service robot literature to date include comparing service robots with humans, the role of service robots' look and feel, consumer attitudes toward service robots and the role of service robot conversational skills and behaviors. From a TCCM view, the authors discern dominant theories (anthropomorphism theory), contexts (retail/healthcare, USA samples, Business-to-Consumer (B2C) settings and customer focused), study characteristics (robot types: chatbots, not embodied and text/voice-based; outcome focus: customer intentions) and methodologies (experimental, picture-based scenarios).

The current paper is the first to analyze the service robot literature from a TCCM perspective. Doing so, the study gives (1) a comprehensive picture of the field to date and (2) highlights key pathways to inspire future work.

Robots are predicted to have a profound impact on the service sector. The emergence of robots has attracted increasing interest from business scholars and practitioners alike. In this article, we undertake a systematic review of the business literature about the impact of service robots on customers and employees with the objective of guiding future research.

We analyzed the literature on service robots as they relate to customers and employees in business journals listed in the Financial Times top 50 journals plus all journals covered in the cross-disciplinary SERVSIG literature alerts.

The analysis of the identified studies yielded multiple observations about the impact of service robots on customers (e.g. overarching frameworks on acceptance and usage of service robots; characteristics of service robots and anthropomorphism; and potential for enhanced and deteriorated service experiences) and service employees (e.g. employee benefits such as reduced routine work, enhanced productivity and job satisfaction; potential negative consequences such as loss of autonomy and a range of negative psychological outcomes; opportunities for human–robot collaboration; job insecurity; and robot-related up-skilling and development requirements). We also conclude that current research on service robots is fragmented, is largely conceptual in nature and focused on the initial adoption stage. We feel that more research is needed to build an overarching theory. In addition, more empirical research is needed, especially on the long(er)-term usage service robots on actual behaviors, the well-being and potential downsides and (ethical) risks for customers and service employees.

Our review focused on the business and service literature. Future work may want to include additional literature streams, including those in computer science, engineering and information systems.

This article is the first to synthesize the business and service literature on the impact of service robots on customers and employees.

Digital media has revolutionized societies and changed forever how we do business. This paper aims to determine the current scope of service research in the area of digital media, identifying research gaps and introducing new research contributions to complement our knowledge of digital media.

Based on all service articles of the SERVSIG literature alert system from 2016 to 2019, a subset of digital media articles was identified and latent Dirichlet allocation (LDA) text-mining methods were used on the abstracts and titles of the articles for topic modeling of the field. Dominant research topics were identified and depicted in a two-dimensional space.

The study identifies eight distinct topic areas of digital media in service research and shows their relationship to each other in a two-dimensional space. A clear tendency in service research towards taking primarily a customer (versus business perspective) of digital media can be observed. Further, for some journals, a trend towards specialization on particular topics could be detected.

This article advocates for more digital media research with a stronger business perspective. Further, although particular new technologies are exciting to discuss, it seems that the importance of customer relationship topics in digital media is not reflected in the current digital media research as needed.

The article uses a quantitative–explorative approach to determine the current state of research in regard to digital media in services. The authors introduce 11 new studies that aim to close the knowledge gap in critical areas of digital media.

This study aims to investigate the factors that affect an audience's purchase decisions on a new type of social media, namely live video streaming platforms.

This study is based on data from an online survey providing 488 valid responses. These responses are used to test the research model by employing partial least squares (PLS) modeling.

Three antecedents (consumer competitive arousal, gift design aesthetics and broadcaster's image) influence the audience's purchase decisions (impulse buying and continuous buying intention). Chinese impression management (mianzi) acts as a moderator. Self-mianzi, mutual mianzi and other mianzi (i.e. three subtypes of mianzi) moderate the effects of consumer competitive arousal, gift design aesthetics and broadcaster's image on impulse buying.

The findings encourage practitioners developing marketing strategies for live video streaming platforms in the Chinese cultural context to consider peer influence, gift appearance, broadcaster's image and mianzi.

Drawing on the community gift-giving model and face-negotiation theory, this study provides an integrated research model to investigate a new type of social media (live video streaming). It offers insight into virtual gifting behaviors by confirming the effects of three antecedents on the audience's purchase decisions, with mianzi acting as a moderator.

This paper aims to propose that the literature on customer engagement has emphasized the benefits of customer engagement to the firm and, to a large extent, ignored the customers’ perspective. By drawing upon co-creation and other literature, this paper attempts to alleviate this gap by proposing a strategic framework that aligns both the customer and firm perspectives in successfully creating engagement that generates value for both the customer and the bottom line.

A strategic framework is proposed that includes the necessary firm resources, data, process, timeline and goals for engagement, and captures customers’ motives, situational factors and preferred engagement styles.

The authors argue that sustainability of data-driven customer engagement requires a dynamic and iterative value generation process involving customers recognizing the value of engagement behaviours and firm’s ability to capture and passing value back to customers.

This paper proposes a dynamic strategic value-creation framework that comprehensively captures both the customer and firm perspectives to data-driven customer engagement.

The service sector is at an inflection point with regard to productivity gains and service industrialization similar to the industrial revolution in manufacturing that started in the eighteenth century. Robotics in combination with rapidly improving technologies like artificial intelligence (AI), mobile, cloud, big data and biometrics will bring opportunities for a wide range of innovations that have the potential to dramatically change service industries. The purpose of this paper is to explore the potential role service robots will play in the future and to advance a research agenda for service researchers.

This paper uses a conceptual approach that is rooted in the service, robotics and AI literature.

The contribution of this paper is threefold. First, it provides a definition of service robots, describes their key attributes, contrasts their features and capabilities with those of frontline employees, and provides an understanding for which types of service tasks robots will dominate and where humans will dominate. Second, this paper examines consumer perceptions, beliefs and behaviors as related to service robots, and advances the service robot acceptance model. Third, it provides an overview of the ethical questions surrounding robot-delivered services at the individual, market and societal level.

This paper helps service organizations and their management, service robot innovators, programmers and developers, and policymakers better understand the implications of a ubiquitous deployment of service robots.

This is the first conceptual paper that systematically examines key dimensions of robot-delivered frontline service and explores how these will differ in the future.

Despite all the recent achievements in the field of interactive marketing and artificial intelligence (AI), it is important to consider the ethical implications of these technologies. This paper explains the concept of corporate digital responsibility (CDR) and how it is affected by new advances in AI.

The authors build on the work of Wirtz et al., (2023) and derive several managerial implications for the challenges that AI poses to CDR. CDR refers to a service company's ethical and fair use of data and technology within its digital service ecosystem. It involves establishing standards, protecting customer privacy, conducting external audits and striving for an equitable power dynamic between service firms and their partners.

Despite the risks involved, many companies are not prioritizing good CDR practices. Financial benefits from the collection and use of consumer data, improved customer experience through AI-driven customization and personalization, cost reduction through service automation and the trade-offs between organizational goals and CDR practices can prevent companies from prioritizing good CDR practices.

This is one of the first articles in the service domain to take the concept of CDR and apply it to recent developments in generative AI.

The emergence of powerful AI tools presents opportunities and challenges. Research opportunities include responsible business restructuring, responsible service automation to ensure fairness and human oversight, addressing dehumanization of service delivery, responsible customer profiling to address privacy and discrimination concerns and preventing AI misuse.

The year 1977 was the first in the tenth collective period (1977‐1981) for Chemical Abstracts. Thus during that year the important and very voluminous Tenth Collective Index began to appear on library shelves, but as this review is being written in 1978 there are still volumes of the formula and chemical substance indexes that have to be added. Librarians will have recently received two Index Guides: one as part of the Ninth Collective Index, and the other as the first Index Guide for the tenth collective period ‐ to be supplemented annually, and finally superseded by the Index Guide which appears as part of the Tenth Collective Index.