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This study examined the antecedents of technostressors as well as how customers' perceived convenience and technostressors of using a check-in/out kiosk influence their behavioral intention in a full-service hotel setting.

Using survey data collected from 630 hotel customers, hypotheses were tested via structural equation modeling and multi-group analysis.

The results showed that perceived usefulness of a check-in/out kiosk had direct effects on both technostressors (i.e. work overload and role ambiguity), and that perceived ease-of-use had indirect effects on the technostressors, via perceived usefulness. The findings showed that both role ambiguity and perceived convenience significantly influenced intention to use a check-in/out kiosk. Intention to use was positively associated with intention to revisit a hotel providing the kiosk. These findings were equivalent across the younger and older groups.

Based on the findings, hotels can implement effective strategies to reduce technostressors associated with a check-in/out kiosk and focus on enhancing the factors that influence customer acceptance of the system. This is especially important given the increased emphasis on self-service technology since the onset of the COVID-19 pandemic.

This research contributed to the relevant literature by developing a check-in/out kiosk acceptance model using a multi-theoretical approach, and empirically testing it within the full-service hotel domain. It fills the knowledge gap regarding the antecedents and outcomes of technostressors in the hospitality research literature by providing empirical evidence.

This is a general review study aiming to specify the key customer-based factors and technologies that influence the value co-creation (VCC) process through artificial intelligence (AI) and automation in the hospitality and tourism industry.

The study uses a theory-based general literature review approach to explore key customer-based factors and technologies influencing VCC in the tourism industry. By reviewing the relevant literature, the authors conclude a theoretical framework postulating the determinants of VCC in the AI-driven tourism industry.

This paper identifies customers' perceptions, attitudes, trust, social influence, hedonic motivations, anthropomorphism and prior experience as customer-based factors to VCC through the use of AI. Service robots, AI-enabled self-service kiosks, chatbots, metaversal tourism and new reality, machine learning (ML) and natural language processing (NLP) are technologies that influence VCC.

The results of this research inform a theoretical framework articulating the human and AI elements for future research set to expand the models predicting VCC in the tourism industry.

Few studies have examined consumer-related factors that influence their participation in the VCC process through automation and AI.

The study aims to draw lessons from other countries and propose a framework for developing smart libraries in transformation in South Africa. The framework will be useful to policymakers and scholars in library and information science.

This study used a qualitative approach based on a systematic literature review and the researchers’ experience concerning the transformation of smart libraries in South Africa. The researchers selected databases to access full-text, abstract or full-text linking facilities. The researchers generated the study’s literature review using keywords derived from themes. The keywords used include “smart libraries,” “functions of smart libraries” and “smart library infrastructure,” based on the objectives of the study.

The findings reveal that developing smart libraries in South Africa is feasible, but all stakeholders must cooperate and collaborate to create smart libraries. The findings of this study show that South Africa can draw lessons from other countries on the way forward in developing smart libraries. The results indicate that lack of funding, digital infrastructure and technical skills are among the factors inhibiting the development of smart libraries.

The issue of smart libraries has become a key on the agenda on a global scale, and South Africa is no exception to such developments. This study proposes a framework for developing smart libraries based on lessons learned within and outside South Africa.

Assess the realistic impacts of implementing an Radio Frequency Identification (RFID)/Internet of Things (IoT) uniforms’ distribution system for managing medical personnel’s scrubs in operating rooms. The authors use a hybrid simulation framework to address the following objectives and challenges: a) reduce and control operating rooms’ level of inventory; b) stabilize scrubs’ demand and c) improve infection control and prevention of cross-contamination (through scrubs over manipulation and hoarding).

The authors adopt a Design Science approach. This methodological approach is used to design, develop, create and evaluate information technology “artifacts” (e.g. constructs, models, methods and instantiations) intended to solve organizational problems and make research contributions (Peffers et al., 2007). More specifically, the authors follow the Design Science Research Methodology process model which includes six steps: problem identification and motivation, definition of the objectives for a solution, design and development, demonstration, evaluation, and communication.

To assess the realistic impacts of implementing an RFID-IoT uniforms’ distribution system for managing medical personnel’s scrubs in operating rooms, the authors adopted a design science approach and initiated the research by documenting the business case and reviewed the existing literature to build a comparative analysis of existing uniforms’ distribution systems. The authors used a hybrid simulation model to assess the impact of three business cases: present mode of operation, implementing smart shelves or the smart distributors. The authors show that smart dispensers allow a greater control on scrubs’ utilization while eliminating the cross-contamination of the medical personnel.

Through this research study, the authors provide hospitals’ managers a scientific support for uniforms’ (scrubs) distribution process improvement. The authors use a hybrid simulation model to compare innovative solutions for uniforms’ distribution systems in the form of “smart cabinets” supported by Radio Frequency Identification (RFID)/Internet of Things (IoT) technologies and choose the most appropriate design for the hospital to meet two main challenges: a) inefficiency of uniform replenishment-distribution system and b) noncompliancy with infection control regulations caused by the distribution system.

From a methodological perspective, this paper addresses concerns from researchers calling quantitative research methods and using case-based research strategy to address IoT issues and assess the system in practice. From a broader point of view, this work confirms the predominant interest of RFID-IoT research work in the arena of supply chain management and logistics as the technology is used for tracking purpose and for monitoring applications. It is also one response to the research community suggesting that “hospitals should evaluate the medical effectiveness of the new technologies as well as the cost before adoption”.

The purpose of this study is to empirically examine the interrelationship between customer acceptance and usage of self-ordering kiosks, purchase behaviour and post-purchase behaviour in quick-service restaurants. This study also hypothesised that the perceived safety risk moderates the relationship between customer purchase and post-purchase behaviour.

This study adopted a quantitative research methodology using an online survey. During the data collection process, 430 responses were obtained. The partial-least square-structural equation modelling was used to test the study’s model and hypotheses.

The results of this study indicated that performance expectancy, effort expectancy, facilitating conditions, social influence, facilitating conditions, hedonic motivation and trust significantly influence purchase behaviour through the self-ordering kiosks. Meanwhile, price value and customer habit did not affect purchasing behaviour, while perceived safety risk as a moderator does not influence re-purchase behaviour.

This study provides valuable implications for foodservice researchers and marketers related explicitly to technology adoption in restaurant services. Given the positive outlook on self-ordering kiosk usage, quick-service restaurants should continuously improve their ordering kiosk adoption and efficiency, especially during the health pandemic.

This study is one of the few to predict and explain the consumer acceptance of self-service kiosks by integrating the Unified Theory of Acceptance and Use of Technology 2 model with other essential behavioural constructs. The inclusion of trust and perceived safety risk construct enhances the study model’s adaptability during health crises.

The aim of this empirical study is to investigate an integrated model that captures the way service quality of banking kiosks (BK-SQ) exerts its impacts on customer perceived value and customer satisfaction and the moderating mechanism of technology readiness (TR) in the quality–satisfaction relationship in the banking sector in Vietnam.

An offline survey was conducted to obtain responses from 604 users of banking kiosks in Vietnam. Exploratory factor analysis, confirmatory factor analysis and structural equation modeling were used for data analysis. The moderating effect of TR was examined following the product indicator method.

The results validate significant positive correlations between BK-SQ, customer perceived value and customer satisfaction. Among six service quality dimensions, convenience is the most significant factor in predicting perceived service quality. The study also delineates how TR can moderate the link between service quality and customer satisfaction.

Future studies may make further attempts to incorporate other human and demographic factors as a moderator into the research model.

Bank managers should strive to improve the operations of banking kiosks based on six aspects and increase TR levels of customers to boost customer satisfaction with banking kiosks.

The study contributes to the literature on service quality and self-service technologies (SSTs) by offering critical insights into how banks can make use of influence mechanisms in the model to enhance service quality and customer satisfaction.

The growth of self-service technologies (SST) in the retail sector has led to an increased prevalence of SST failures, and spurred academic debate on customer self-recovery of the failed services. This study sets out to explore why customers prefer or decline to engage in self-recovery. A framework integrating elements from self-determination theory and theory of planned behavior is developed to explore the impact of motivational factors, attitudes and self-efficacy on self-recovery intention.

Structural equation modeling (SEM) was used to analyze the sample consisting of 297 users of retail kiosks in convenience stores.

The results revealed that intrinsic motivation and identified regulation directly affect customers' attitude and intention to engage in self-recovery. Despite an insignificant direct relationship, external regulation impacted self-recovery intention through attitude. Further, the association between intrinsic motivation and self-recovery intention is moderated by self-efficacy.

Much of the extant SST recovery literature has focused on company-rendered service recovery, providing little guidance to firms on how to promote self-recovery among customers. The integrated motivational-cognitive theoretical base in this study allows for a more differentiated inquiry into the factors shaping self-recovery intention, resulting in a deeper understanding of this topic. The novel insights will help retailers develop effective strategies for promoting self-recovery among users of retail kiosks.

The present paper answers two significant questions: (1) What are the relative consumer and firm-level effects of marketing through metaverse compared to conventional marketing endeavors? (2) What are the current trends in utilizing the metaverse as reported in the recent literature?

This study employs a systematic literature review methodology, utilizing a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart to synthesize existing research. Thirty-five articles written in English were selected and analyzed from two databases, Web of Science and EBSCO Host.

The findings indicate that consumer-level effects of the metaverse include consumer loyalty and brand attachment. The firm-level benefits are decentralization and cost reductions. The paper proposes a framework indicating variables that could attenuate or enhance the association between immersive components of the metaverse and their resultant effects.

This study contributes to understanding the role of metaverse in marketing practices related to the marketing mix components. The study conceptualizes a novel framework for the metaverse and its resultant effects.

This study aims to explore the influence of perceived value, enjoyment and novelty of fast-food chains’ smart retailing technology (SRT) on Filipino consumers’ attitude and loyalty.

Purposive sampling was used in identifying the respondents (N = 343). The participants were composed of consumers of the leading fast-food chains in the Philippines, where SRT using self-service ordering kiosks is being implemented. The hypotheses were explored using partial least squares path modeling, and predictive-causal was the study’s research design.

The results reveal that, among the factors, perceived enjoyment substantially contributes to the formation of favorable consumers’ attitude toward SRT. Moreover, perceived value was found to have a moderate effect on attitude while perceived novelty showed small impact. In terms of consumers’ attitude and loyalty, the two variables were found to have large positive and significant relationship. The moderation analysis shows that consumers’ attitude toward SRT has medium indirect effect on the relationship between perceived enjoyment and loyalty, while there is small indirect influence on the links between perceived value and loyalty, and between perceived novelty and loyalty.

As more and more fast-food establishments are adopting the use of SRT via self-ordering kiosks, the present study is the only study in the Philippine context that explores how perceived value, enjoyment and novelty affect consumers’ attitude and loyalty.

This research aims (i) to assess the level of customer satisfaction and loyalty to self-service technologies and Auchan Retail Portugal, (ii) to identify the determinants of customer satisfaction and loyalty to these technologies and also, (iii) to identify their influence on customer loyalty to this modern distribution retailer operating in Portugal.

A conceptual model was defined to meet the research objectives and to carry out the quantitative analysis applied to the random sample (n = 483) of customers. The data used where gathered via an online questionnaire survey, which covered all dimensions of the conceptual model, applied in 2021 in Portugal. To validate the hypotheses, Cronbach’s alpha and multiple linear regression models were used.

The results reveal that customer satisfaction with self-service technologies has a direct and positive effect on customer loyalty to Auchan Retail Portugal. Furthermore, results reveal that the technology utility factors significantly influence the customer technology experience which has an impact on perceived service quality and perceived risk. The findings of this research provide data on how to improve customer adoption and satisfaction with self-service technology and highlight that these technologies should be part of firm’s competitive strategy.

This study presents itself as a novelty for science, while granting important contributions to the retailer. It presents an innovative conceptual model that delivers to Auchan the basis for it to move toward smart retail technologies, aiming at the market trend of personalization. For future research, this study can be used as an instrument to evaluate the customer experience with self-service technology and to examine the determinants and effects of self-service technology separately.