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Recent service studies suggest focusing on the service triad consisting of technology-customer-frontline employee (FLE). This study empirically investigates the role of service robots in this service triad, with the aim to understand the augmentation or substitution role of service robots in driving utilitarian and hedonic value and ultimately customer repatronage.

In study 1, field data are collected from customers (n = 108) who interacted with a service robot and FLE in a fast casual dining restaurant. Structural equation modeling (SEM) is used to test hypotheses about the impact of service robots' anthropomorphism, social presence, value perceptions and augmentation opportunities in the service triad. In study 2, empirical data from a scenario-based experimental design (n = 361) complement the field study by further scrutinizing the interplay between the service robot and FLEs within the service triad.

The study provides three important contributions. First, the authors provide empirical evidence for the interplay between different actors in the “customer-FLE-technology” service triad resulting in customer repatronage. Second, the empirical findings advance the service management literature by unraveling the relationship between anthropomorphism and social presence and their effect on perceived value in the service triad. And third, the study identifies utilitarian value of service robots as a driver of customer repatronage in fast casual dining restaurants.

The results help service managers, service robot engineers and designers, and policy makers to better understand the implications of anthropomorphism, and how the utilitarian value of service robots can offer the potential for augmentation or substitution roles in the service triad.

Building on existing conceptual and laboratory studies on service robots, this is one of the first field studies on the service triad consisting of service robots – customers – frontline employees. The empirical study on service triads provides evidence for the potential of FLEs to augment service robots that exhibit lower levels of functional performance to achieve customer repatronage. FLEs can do this by demonstrating a high willingness to help and having excellent interactions with customers. This finding advocates the joint service delivery by FLE – service robot teams in situations where service robot technology is not fully optimized.

Drawing on chaos theory as an overarching approach, as well as guidelines from effectuation and transformative learning theories, this study aims to evaluate the changing marketing channels in the hospitality industry in the wake of the COVID-19 pandemic. It also aims to develop a conceptual framework that demonstrates the transformation of the marketing structure; in particular, the transformation of hospitality organizations, employees and customers.

The study uses the hermeneutic method and conceptually evaluates the existing actors of the services marketing structure. It also discusses how to transform this structure into the new normal in the wake of the COVID-19 pandemic.

The findings of the study demonstrated that COVID-19 has resulted in changing marketing channels in the hospitality industry. These include external, internal, interactive and substitutional marketing channels. In response to these changes, the hospitality industry needs to adopt a more transformative marketing structure that requires the transformation of hospitality companies, employees and customers.

The conceptualized transformation of the services marketing structure could help hospitality practitioners, employees and customers to understand the new normal and acquire new abilities, meanings, awareness and learning accordingly.

This study uses chaos, effectuation and transformative learning theories to reconceptualize the hospitality services marketing structure. The contribution of this paper lies in the conceptual pathways it suggests for transforming hospitality firms, employees and customers and for demonstrating their transformed roles and positions in the wake of the pandemic.

Smart technologies and connected objects are rapidly changing the organizational frontline. Yet, our understanding of how these technologies infuse service encounters remains limited. Therefore, the purpose of this paper is to update existing classifications of Frontline Service Technology (FST) infusion. Moreover, the authors discuss three promising smart and connected technologies – conversational agents, extended reality (XR) and blockchain technology – and their respective implications for customers, frontline employees and service organizations.

This paper uses a conceptual approach integrating existing work on FST infusion with artificial intelligence, robotics, XR and blockchain literature, while also building on insights gathered through expert interviews and focus group conversations with members of two service research centers.

The authors define FST and propose a set of FST infusion archetypes at the organizational frontline. Additionally, the authors develop future research directions focused on understanding how conversational agents, XR and blockchain technology will impact service.

This paper updates and extends existing classifications of FST, while paving the road for further work on FST infusion.

Consumer response to merchandise shortage in the online supply chain outlet is an interesting and important issue for e‐vendors because of the high risk associated with the online environment. The purpose of this study is to examine the effects of the online environment on consumer out‐of‐stock behaviors. In addition, it aims to examine the relative impact of non‐web site situational factors on consumer out‐of‐stock behavior.

The study proposed an expectation confirmation‐disconfirmation framework based on the utility maximization principle in consumer research. This framework was validated with data from online shopping transactions gathered in two field studies.

The occurrence of a stock‐out had a pervasive negative impact on consumers' assessment of their online transactional experience and repurchase intentions. Furthermore, item substitution behavior was positively linked with merchandise information content, vividness of web site content, and service speed and a few situational factors. Overall, it was found that consumers' reaction to the “shock” effect of a stock‐out was best explained by an expectation confirmation‐disconfirmation model rather than a performance‐only or expectation‐only model.

While the focus on the total expectation confirmation‐disconfirmation process limited the scope of the study to a single stock‐out event, future research should examine multiple stock‐out events to further validate the proposed framework.

Managers can take advantage of the positive linkage between web site design features and item substitution behavior by tracking the online consumers' expectation confirmation‐disconfirmation evaluative process and its effect on how consumers respond to high priced versus low priced items during a stock‐out event. Design features for low priced items such as CDs and books require product specific information to reduce item switching or exit from the e‐supply chain during a stock‐out event.

Scholars need a systematic framework for examining consumer response to a stock‐out that is applicable in the e‐commerce context because of the effects of abundant information access, low switching cost and the high service expectations of online customers.

This paper aims to describe how approaches such as semantic based query rewritings and FRBR work entities composition could solve existing problems and improve the overall behavior of a mediated based meta‐search environment. Moreover, it aims to present meta‐Composer, which is a meta‐search engine without query failures that composes work level entities for display, as well as an autonomous open service for discovering substitutions of unsupported access points, in the context of the Z39.50 environment.

Semantic Access Point Network (SAPN) engine, which is a system for substitution of unsupported access points by exploiting semantic access point information from an RDFS description, was extended as a query rewriting system taking into account user preferences for recall and precision. Additionally, the Library of Congress FRBR display tool was extended to create, in the first place, MARC21, UNIMARC and MODS wrappers for the production of work‐expression‐manifestation identifiers, and, secondly, the composition of work clusters. Finally, pazpar2, the open source meta‐search engine was used as both the middleware and the client platform for the integration of all the above components and the development of meta‐Composer.

Consistent extension of the meta‐search search functionality is possible from the lowest common denominator of the supported access points through semantic based query rewritings. Furthermore, enabling query specificity, which restricts the resulting records, could really improve the overall performance of the system and allow for more space for other extensions. Work centric result presentation gives a more compact and coherent view to the user compared to the typical record‐based de‐duplicated display.

The technical limitation for retrieving all the results from all sources, especially for large result sets, indicates the need for further research for the development of heuristics in order to find the best sources for enriching the results by unique work clusters. The absence of tools, such as authority files, limits the accuracy of the FRBRization process and the discovery of correlations between related works.

Consistent meta‐search services require widespread use of international metadata standards and communication protocols.

The SAPN technology enforces implicitly the semantic interoperability in the context of the Z39.50 protocol. meta‐Composer is an open service which offers meta‐search within valuable sources world wide and it also provides the potential to evaluate new services. The SAPN open service gives the ability to any other mediator or client, to extend and improve consistently its search functionality, in the same context and by using web services technology.

This study examines customers of grocers who provide both online and traditional in‐store options to determine if there are substantial differences in customer's perceptions of service quality, product quality, product range, and sacrifices made when using a specific channel. By better understanding customer preferences, firms can appropriately match strategy and market expectations.

Data were gathered from 271 traditional in‐store customers and 1,720 online customers from three grocers. Survey results from these two groups was analyzed using regression analysis consisting of independent variables measuring the sacrifices of using a given channel, and the quality of service, products and product range and dependent variables of behavioral intentions and percent of business given to the grocer.

Online customers have a higher level of satisfaction with their service encounters, but lower levels with the tangible aspects of product quality, range of products available and channel usage sacrifices. They also spend a larger portion of their grocery “wallet” with the grocer and are less price sensitive than their in‐store counterparts.

Online customers place a premium on convenience and will spend more with firms that meet this need. Given the very low profit margins in this industry, the ability to draw and retain these customers is vitally important.

This study presents one of the first direct comparisons of customers who use two different channels from the same grocery provider to examine customer perceptions for improved strategic service and product delivery.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The human service triad (i.e. the relationship between the customer, frontline employee (FLE) and managerial employee) experiences a range of well-being challenges when faced with the introduction of service robots. Despite growth in service robot scholarship, understanding of the well-being challenges affecting the human service triad remains fragmented. Hence, the purpose of this paper is to synthesise the literature and offer a research agenda aligned with the proposed Robotic-Human Service Trilemma. By taking a job performance approach (which considers the actions, behaviours and outcomes linked to organisational goals), the Robotic-Human Service Trilemma conceptualises three well-being challenges (intrusion, sideline and interchange). These challenges are realised via the realistic capabilities and constraints of service robot implementation.

This research relies on a systematic review of all disciplines concerning service robots. In total, 82 articles were analysed using thematic coding and led to the development of the Robotic-Human Service Trilemma and research agenda.

The analyses reveal the Robotic-Human Service Trilemma consists of three challenges: intrusion, sideline and indifference. The findings demonstrate that FLEs are required to counterbalance the constraints of service robots, leading to an uneven well-being burden within the human service triad. This paper suggests a research agenda for investigation of the challenges that underpin the Robotic-Human Service Trilemma.

Through the conceptualisation of the Robotic-Human Service Trilemma, this study is the first to explore how states of well-being equilibrium exist within the human service triad and how these states are challenged by service robots. The authors present a balanced centricity perspective to well-being that contrasts previous trade-off approaches and that enhances the body of service robot literature with a well-being lens.

This paper aims to explore the implications of integrating humanoid service robots into hospitality service encounters by evaluating two service prototypes using Softbank Robotics’ popular service robot Pepper™: to provide information (akin to a receptionist) and to facilitate order-taking (akin to a server). Drawing both studies together, the paper puts forward novel, theory-informed yet context-rooted design principles for humanoid robot adoption in hospitality service encounters.

Adopting a multiple method qualitative approach, two service prototypes are evaluated with hospitality and tourism experts (N = 30, Prototype 1) and frontline hospitality employees (N = 18, Prototype 2) using participant observation, in situ feedback, semi-structured interviews and photo-elicitation.

The adoption of humanoid service robots in hospitality is influenced by the following four layers of determinants: contextual, social, interactional and psychological factors, as well as extrinsic and intrinsic drivers of adoption. These empirical findings both confirm and extend previous conceptualizations of human-robot interaction (HRI) in hospitality service.

Despite using photo-elicitation to evoke insight regarding the use of different types of service robots in hospitality, the paper mostly focuses on anthropomorphized service robots such as Pepper™.

Adopting humanoid service robots will transform hospitality operations, whereby the most routine, unpleasant tasks such as taking repeat orders or dealing with complaints may be delegated to service robots or human-robot teams.

Working with and receiving service from Pepper™ changes the service encounter from direct practical, technical considerations to more nuanced social and psychological implications, particularly around feelings of self-esteem, social pressure and social judgment.

This paper presents one of the first empirical studies on HRI in hospitality service encounters using Softbank Robotics’ Pepper™. In doing so, the paper presents a novel framework for service robot adoption rooted in first-hand user interaction as opposed to previous, theory-driven conceptualizations of behavior or empirical studies exploring behavioral intention.

Integrates perspectives across operations, marketing, human resources, and organizational theory in a conceptualization of the theoretical relationships between customer competency and marketing and operations practices in service firms. Suggests service firm strategies to leverage customer competency by managing process variation in an industry through service firm co‐operation when altering process structure does not support or achieve a differentiated market position for individual firms; by using market segmentation on the basis of customer productcore competency to develop new service offerings; by balancing the mix of customers at different competency levels with the firm’s productive capacity; and by optimizing socialization of four types of new customers: “Virgin Newcomers”, “Virtual Newcomers”, “Value Switchers” and “Vagabond Switchers” who have different levels of experience with competing firms and expectations for competency fit with new firms.