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Future service interactions are anticipated to use humanoid robots in a society that is shifting to a digitalized era. Currently, it is evident that many businesses are replacing service interactions with self-service technologies (SSTs). This movement creates substantial societal changes that researchers have not paid sufficient attention to comprehend. In this setting, the purpose of this study is to examine the social drivers that influence customer mobility toward co-creating value via SSTs. The study also seeks to discover variations in customers' willingness and capacity to adopt SSTs.

To fulfill the research aims, a qualitative technique was adopted, with semistructured interviews conducted with 25 SST users from varied demographic backgrounds. To recruit individuals for the study, a nonprobabilistic purposeful sampling technique was adopted, with the goal of employing information-rich instances. The data were analyzed using thematic analysis.

The study identified eight social drivers that are important in the customer transition toward co-creating value with SSTs. According to the study, SSTs are characterized as a social trend in which adoption is accepted (social norm) and modifies social connections in a new direction. Using SSTs has evolved into a socializing tool that gives people social acknowledgment. Some people see SSTs as social pressure, putting them at a disadvantage if they do not adopt. People, on the other hand, acquire sufficient social support and independence to use SSTs. Customers were categorized into four groups depending on their willingness and ability to embrace SSTs: trendsetters, dreamers, old-fashioned and stragglers.

In practice, service providers can use this knowledge to successfully promote their SSTs and create enhanced client experiences through technological interfaces.

The study adds new knowledge by identifying social determinants in customer shifts toward SSTs, a phenomenon that has not been studied previously, and it adds to marketing theory by proposing a typology to group customers based on their ability and willingness to embrace SSTs.

This study investigates the evolution of skilled personnel in airline operations driven by technological advancements. It aims to elucidate the changing personnel demands necessitated by technological innovations in the ground and flight services.

The impact of technological advancements on aviation services has been broadly outlined. Secondary sources were used to identify the relationship between technology and human resources in aviation and categorize the current situation. However, the main narrative was based on the author’s observations.

The progression of technology in air transportation has led to a reduction in the number of personnel involved and the time spent on human interactions. Technological advancements in aviation have predominantly affected three crucial domains: back offices, ground services, and flight services. A future trend foresees a substantial shift toward self-service in ground services, contributing to streamlined processes with minimal errors.

Airlines must consider candidates' ability to adapt to technological changes during the hiring process to enhance operational efficiency and customer satisfaction. The current staff should be supported by training programs to facilitate their adaptation to technology.

This study provides a theoretical framework regarding changes in personnel requirements due to technological applications in aviation, the integration of technology into the sector, and the adaptation of current personnel to these technologies.

This perspective resonates with scholars engaged in the realms of aviation and tourism. This study assesses technological progress from both managerial and customer perspectives.

Smart banking services (SBS) are critical for developing countries to achieve developmental goals. The success of SBS is dependent on the considerable perceived customer experience of provided services. Based on technology adoption studies, this study aims to model smart customer experience (SCE) outcomes by investigating the relationships between SCE, customer gratitude, continuance intentions and positive word-of-mouth (P-WOM).

The current research included 384 bank clients as participants. The data were analyzed using partial least squares structural equation modeling (PLS-SEM).

According to the findings, SCE directly increases customer gratitude, continuance intention to adopt smart services and P-WOM. Customer gratitude enhances continuance intentions and P-WOM. Additionally, customer gratitude mediates the relationship between SCE, continuance intention and P-WOM. Finally, the findings revealed that customer innovativeness and optimism play a substantial moderating impact among the variables studied.

This is the first research to include all of these variables. Furthermore, to the best of the authors' knowledge, this is the first empirical study of these linkages in the banking sector of emerging nations.

As the tourism industry continues to evolve and adapt to changing consumer demands, automated systems and artificial intelligence have gained significant attention. However, concerns related to ethical, social and environmental aspects have arisen alongside the benefits offered by these technologies. This chapter explores the emerging challenges surrounding the integration of robots and self-service technology in responsible and creative tourism.

The purpose of this study is to explore whether five factors drawn from the unified theory of acceptance and use of technology (UTAUT) and UTAUT2 significantly influence customers' intention to use hotel in-room voice assistants (VAs). It further examined culture as a moderator of the relationships between the five factors and customers' intention to use.

The authors collected data from US and Singapore to examine cultural differences in customer acceptance of in-room VAs. All hypotheses were tested via structural equation modeling and multi-group analysis.

The results showed that performance expectancy, social influence and hedonic motivation significantly affected customers' intentions to use in-room VAs, while effort expectancy and facilitating conditions did not. The results confirmed that culture did not play a substantial role in moderating the relationships between these factors and intentions to use.

This study established that the instrument and structural paths in the research model were equivalent across two samples from different countries. The findings may not generalize to other countries as the data arises from customers in the US and Singapore.

The findings provide important implications for hotel operators and vendors seeking to enhance customer acceptance of in-room voice technology.

This study addresses the gaps of extant research by developing and testing a research model to better understand the influential factors of in-room VA adoption within the hotel domain.

The purpose of this study was to examine the mediating effect of three coping strategies (i.e. active, expressive, and denial coping) in the relationships between service failures (i.e. high- and low-contact service failures) and negative behavioral intentions (i.e. switching intention).

The critical incident technique (CIT) was used to identify the conceptually categorized service failure types in the fitness industry, and then confirmatory factor analysis (CFA) and structural equation modeling (SEM) were performed to examine the mediating effect of coping strategies among high-contact service failure and switching intention (study 1) and the mediating effect of coping strategies among low-contact service failure and switching intention (study 2).

While the mediating effect of coping strategies was significant in the relationship between high-contact service failures (study 1) and negative behaviors (i.e. switching intention and complaints), it was not significant in the relationship between low-contact service failures (study 2) and switching intention. Out of the three coping strategies, the impact of active coping was significant.

This study extends the understanding of the mediating effect of coping strategies in the relation between high- and low-contact service failures and switching intention.

With the expansion of artificial intelligence (AI) technology in everyday life, it is critical to discuss how and why consumers respond in certain ways to AI agents. However, few studies have examined the mechanisms underlying users’ responses to these agents. This study aims to identify such mechanisms and discuss how users form loyalty toward AI agents. Specifically, this study addresses interactivity with AI voice assistants as a key determinant of user loyalty, presenting user perceptions of the human-likeness of AI voice assistants and communication self-efficacy as sequential mediators.

We investigate the effects of human-likeness and communication self-efficacy on the relationship between interactivity and loyalty to AI voice assistants by developing a sequential mediation model. To estimate the empirical model, data were collected through an online survey with 330 respondents.

The results indicate that interactivity influences loyalty directly and positively. In addition, interactivity affects loyalty indirectly sequentially through human-likeness and communication self-efficacy.

By uncovering the psychological mechanisms underlying users’ loyalty to AI voice assistants, this study provides new academic and managerial insights that have not been clearly identified in the current literature.

This paper aims to provide insights into the potential of digital technologies-based innovations for more inclusive healthcare by alleviating the affordability, accessibility and availability barriers to utilization of healthcare services. Also, it aims to provide insights into the potential of digital technologies-based innovations for more inclusive services, broadly.

A conceptual framework is inductively developed by analyzing real-world examples of digital technologies-based innovations for more inclusive healthcare through the lenses of economics of information in digital form and certain characteristics of services.

Concurrent implementation of digital technologies-based healthcare innovations with innovations and/or modifications in service processes can enable greater inclusivity by alleviating the affordability, accessibility and availability barriers to utilization of healthcare services.

Issues relating to inequities in healthcare, as a social problem, are the focus of research at multiple levels (e.g. global, national, regional and local) in several academic disciplines. In relation to the scope of the problems and challenges pertaining to providing quality healthcare to the unserved and underserved segments of society, worldwide, the contribution of the proposed framework to practice is modest. However, by highlighting the promise and potential of digital technologies-based innovations as solutions for alleviating barriers to affordability, accessibility and availability of healthcare services during various stages (prevention, detection, diagnosis, treatment and post-treatment follow-up) with illustrative vignettes and developing a framework, the article offers insights for future research. For instance, in reference to mission-driven social enterprises that operate in the product-market space for inclusive innovations under resource constraints, a resourcefulness-based view of the social enterprise constitutes a potential avenue for theory development and research.

Given the conceptual nature of the article, the implications for practice are limited to cognitive implications. Action implications (instrumental implications or implications for practice) are outside of the scope of the article.

Innovations that are economically viable, environmentally sustainable and socially impactful is one of the important issues of our times.

The proposed framework provides insights into the potential of digital technologies-based innovations for more inclusive healthcare by alleviating the affordability, accessibility and availability barriers in the context of emerging and less developed country markets and base of the pyramid segments of society in these markets.

This study aims to understand the reasons for individuals switching from traditional banks to Internet-only banks and examine how switching intentions differ between Generation X and Generation Z. Notably, Generation Z, being digital natives, exhibits distinct characteristics compared to Generation X, who often referred to as digital immigrants. Given the technology-driven nature of Internet-only banks, a multi-group analysis between these two generations was conducted.

This study utilizes Bansal’s push–pull–mooring model as a framework to analyze switching intention. The study collected survey data from 383 Korean participants, consisting of 198 participants from Generation Z and 185 participants from Generation X.

The findings indicate that low satisfaction and discomfort are factors that push people to leave traditional banks. Specifically, Generation Z shows a significantly higher inclination to leave traditional banks due to discomfort. On the other hand, relative advantage, compatibility, observability and trialability are factors that pull people to switch to Internet-only banks. Generation X is more likely to consider adopting Internet-only banks when compatibility is high and complexity is low.

This study is the first to explore unique motivators for Generation Z, such as their discomfort with interpersonal interactions in the retail banking sector. These findings challenge earlier research emphasizing human interaction’s importance in technology adoption, offering insights into their future adoption of contactless services.

This study investigates how role overload in the sharing economy leads to emotional exhaustion, which restricts value co-creation activity, and also investigates the moderating effect of perceived platform support.

Two experimental investigations and field research questionnaires were given to respondents with shared mobility industry expertise.

First, role overload detrimentally affects service providers' value co-creation behavior; second, emotional exhaustion acts as a mediator between role overload and value co-creation behavior; and finally, perceived platform support moderates the adverse effect of role overload on emotional exhaustion.

To the best of the authors' knowledge, this study is the first to explore the antecedents of value co-creation behavior from the service provider's perspective, extending the application of COR theory in a sharing economy context.

First, alternative mediators between role overload and emotional exhaustion were not identified. Second, other dimensions of role overload and their impacts were not examined. Lastly, this study did not explore broader perspectives beyond algorithms.

This study recommends that managers reduce role overload ex ante in terms of clarifying responsibilities and obligations, providing substantive resource support and rationalizing order allocation, respectively.