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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.

Airline self-service technology (SST) has attracted attention from both the academic and aviation sectors. As the use of SST can reduce airlines’ operating costs, investigating SST usage at airports is particularly important for the aviation sector. The extant literature has explored users’ SST usage intention, but users’ switching intentions from traditional manual counter services to SST is still limited. Therefore, to address this issue, we used the push–pull–mooring (PPM) theoretical framework to develop a research model to explore user switching intention.

We utilized a mixed-methods approach. A qualitative approach (i.e., semistructured interviews) was first employed to recognize and choose the candidate factors. Then, we collected 450 valid responses through an online survey to test the model. The partial least squares method was used for data analysis.

We found that several push (perceived dissatisfaction and perceived inconvenience), pull (perceived ease of use, perceived usefulness and service process fit), and mooring (personal innovativeness and inertia) factors significantly influence switching intention. Additionally, mooring factors exert contextual effects on the relationships between push and switching intentions and between pull factors and switching intentions.

This study contributes to the literature by further increasing our understanding of user switching intentions regarding SSTs from the PPM perspective and offering guidance for the aviation sector to attract and retain customers.

The purpose of this study is to provide in-depth knowledge on customer-facing technology and customer experience in the grocery retail sector, including how the value-added potential of customer-facing technologies may be enhanced.

The analysis is based on 30 in-depth interviews with “early adopters” of customer-facing digital retail technologies in the Norwegian grocery sector. Theoretically, the study draws on notions of the customer journey and customer experience.

The study contributes to deepening insights concerning how digital retail technology is used and may be geared to further increase value for customers, specifically how retailers may use data on customers and products to personalize digital retail technology offerings and gain a competitive advantage. The findings underline how customer value is context-dependent and show that while grocery retail customers primarily emphasize utilitarian benefits related to customer-facing technologies, hedonic benefits are valuable biproducts. Moreover, the study showcases how personalization is key in addressing customers’ needs and wants, and may serve to increase the overall value of customer-facing technologies for customers and retailers.

The study’s sector-specific focus on technology in use contributes to enhance knowledge on how digital retail technologies can be leveraged to the benefit of customers and retailers, including customers’ sector-specific needs and wants.

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.

The purpose of this article is to identify the role of cloud computing services in business continuity and disaster recovery plans and delineate responsibilities for their execution. In recent times, there has been a huge upsurge in the usage of cloud service models such as infrastructure-as-a-service, platform-as-a-service, software-as-a-service and disaster recovery-as-a-service. However, in case of an emergency event or during contract negotiations, a question might arise as to who should be accountable and responsible for the content and execution of recovery plans. The main stakeholders in this scenario are cloud service providers and cloud consumers.

After a review of academic articles, standards, guidelines and vendor documentation, a proposal for assigning accountability and responsibility for business continuity and disaster recovery plans is presented, based on the RACI (responsible, accountable, consulted and informed) matrix. In this regard, a critical information infrastructure protection plan, a disaster recovery plan, an information systems contingency plan and a business continuity plan have been elaborated on in the article.

RACI matrices are presented for three general cloud service models and for three DRaaS models (managed, assisted and self-service). Accountability and responsibilities depend on the deployed cloud service model and the roles of cloud service providers and cloud consumers.

The proposed model for accountability and responsibility assignment provides a guideline for the allocation of responsibilities to roles not only during recovery but also during contract negotiations between cloud service providers and cloud consumers. By delving into business continuity and disaster recovery processes and activities, similar yet nuanced RACI matrices should be developed, as presented in this paper. They need to be customised for the specific context.

This paper aims to explore the conditions in a business-to-business-to-consumer (B2B2C) context characterized by new technologies. Innovations enhance disintermediation and pursue sustainability goals that drive customers’ willingness to use eco-friendly delivery options, namely, parcel lockers – in e-commerce and their impacts in terms of communication and transparency along the supply network.

The study conducted an extensive survey in Italy and Germany, collecting 1,010 usable responses. Structural equation modelling was used to analyse the data with the aim of identifying the factors that drive customers’ willingness to use parcel lockers and the effect on customers’ behaviour as determined by the disclosure of information about the environmental performance of different delivery options.

The results highlight several factors affecting the willingness to use parcel lockers, namely, performance and effort expectancy, social influence, technology anxiety, hedonistic motivation and environmental knowledge. The results also demonstrate that the disclosure of information about the environmental performance of different delivery options influences customers’ behaviour.

This paper faces several limitations, mostly related to the focus on just two countries, the use of cross-sectional data and the survey’s explicit reference to just one type of product. Nevertheless, the findings contribute to the discussion on the relevance of information sharing along the supply chain, providing favourable evidence in this regard. It also improves the stream of research concerning technology adoption in the context of e-commerce, highlighting factors that can lead consumers to use eco-friendly self-service technologies.

The results can support companies in understanding how they can design and manage the last mile of delivery to jointly achieve customer satisfaction, process efficiency and superior environmental performance.

This pioneering contribution studies the adoption of delivery solutions for e-commerce and its implications for the supply network.

Following the COVID-19 pandemic, airports have begun implementing more digital technologies. While these technologies can enhance the airport experience for passengers on the autism spectrum, this population tends to be studied as a single segment. However, people on the autism spectrum have different preferences, skills and abilities and levels of acceptance of digital technologies. We aim to explore the acceptance of recently implemented digital technologies, self-service kiosks and other digital technologies such as biometric facial recognition in the airport environment among passengers on the autism spectrum, who are not a single segment.

We carried out an academic-industry collaboration project in 2022 at Barcelona’s Josep Tarradellas Airport with the Spanish airport operator Aena, Vueling Airlines, three associations representing people on the autism spectrum (stakeholders) and 60 participants on the autism spectrum recruited by the three associations. Interviews were conducted during the airport visits to compare airport experiences: Group 1 provided input on the traditional airport experience using manual or analogue processes, and Group 2 provided feedback on the airport experience using digital technologies.

The use of cluster analysis revealed three distinct segments: traditional, automated with assistance from others and digital. Our findings provide airports with insights into recently implemented digital technologies at airports for passengers on the autism spectrum.

This article brings new knowledge about passengers on the autism spectrum and their relationship with digital technologies in the airport environment, a topic that has not been previously studied.

Technologies are dramatically reshaping various aspects of the store space, modifying design, services and usage. Accordingly, several studies tackled technology impact on each of these aspects, investigating design, service and usage singularly, but lacking a holistic viewpoint. Thus, this paper aims to identify the different dimensions of the store space (levels) and assess the impact of technology introduction on store space dimensions (levels).

The research employs a qualitative approach based on direct observations of apparel brand stores located in London between March and April 2023. Data collection followed a structured observation protocol covering store information, adopted technologies and their effects across various store space levels, i.e. consumption activities, service environment and customer experience.

Results show that the store space can be defined as the sum of different dimensions consisting of consumption activities, service environment and customer experience. Accordingly, technology introduction holistically influences each of the three store space levels as follows: (1) first, technologies redefine how activities are performed or alters the location where certain activities are consumed; (2) within the service environment, technologies replace traditional elements, fill empty spaces and enhance the atmospherics; finally, (3) customer experience is enhanced in hedonic and/or utilitarian terms due to technology adoption.

This paper defines the space as a dynamic entity, providing a deeper understanding of how the store space is produced, from a holistic point of view and the role of retail technology in this process.

In the tourism sector, fully unmanned and partially unmanned hotel models serving customer segments from different income groups are increasing. Analyzing examples of unmanned hotels worldwide and their practices is crucial for understanding the automation systems used, the smart technologies employed, and the opportunities and challenges these hotels present, as well as for gaining insights into their impacts on the tourism sector.

The data used in this research were obtained from secondary sources. One of the qualitative research methods, document analysis, was used for the analysis of these sources. The content analysis technique was used in the analysis of the data. A seven-stage systematic review process was used in the research. This seven-stage review process consists of the following stages: (1) determining the review objectives and formulating research questions; (2) identifying search terms and selection criteria; (3) conducting a search for unmanned hotel applications before clarifying exclusion and inclusion criteria; (4) evaluating the quality and relevance of unmanned hotel applications; (5) identifying content analysis review variables; (6) conducting content analysis; and (7) analyzing and reporting the findings.

In traditional hotel management, the innovations brought by digitalization and automation are transforming the guest experience and increasing operational efficiency. Unmanned smart hotels are equipped with various technological solutions, such as voice-controlled AI assistants, smart room control systems, AI-based concierge services, and robotic room service. These hotels are redefining roles and expectations within traditional hotel management, while simultaneously reducing costs and enhancing efficiency. Analyses indicate that unmanned smart hotels particularly appeal to specific customer segments, such as business travelers, and are becoming increasingly popular. These hotels offer advantages such as allowing guests to perform self-check-in, control their rooms, and receive necessary services via robots.

The universe of the research consists of all currently operating unmanned hotels worldwide. As a result of the research, 18 examples of unmanned smart hotels were identified. Hotels within the same chain with identical applications and processes were considered as a single example. Therefore, the research sample consists of 18 hotels.

By integrating these technological advancements, the hospitality and tourism industries can mitigate the impact of staff shortages, maintain high service standards, and improve operational efficiency. This approach allows businesses to adapt to changing workforce dynamics while continuing to deliver exceptional guest experiences. In conclusion, the significance and impact of unmanned smart hotels in the travel industry are growing. These hotels have the potential to shape the role of technology in the hospitality sector and influence future trends. Therefore, the adoption and development of unmanned smart hotels are important considerations for hotel operators and industry experts.

Given its ability to improve user interaction and labor productivity, ease human workloads and cut maintenance costs, public sectors are using AI-based robotic technology (AI-RT) at an accelerated rate. There is, however, little knowledge about the variables affecting citizens' participation when services backed by AI-RT are offered. In order to better understand the elements that influence AI-RT citizens' involvement and the moderating function of trusts in governmental organizations, this article draws on ideas from the Consumer Value Theory.

Out of 500 survey forms that were distributed to Indonesian people who had experience in using AI-RT devices in public service hall (e.g. airport’s Auto Gate), 367 returned the completed feedbacks. Data analysis used a step-by-step hierarchical moderated regression examination using SPSS 24 version.

Citizens’ involvement is positively correlated with esthetics and customization and adversely correlated with period expended using the AI-RT. Additionally, the findings imply that citizens who have greater levels of faith in governmental institutions are more likely to benefit favorably from the customization and esthetics of AI-RT.

The AI-RT must be capable of customizing the distribution of the appropriate materials to the appropriate individual at the appropriate moment, and public managers should guarantee that it is esthetically pleasing. Additionally, they ought to place a high priority on winning the trust of the populace in order to increase citizens’ involvement.

This paper was among the initial efforts that discover the determinants of citizens’ involvement in the AI-RT and the moderating effect of trusts in governmental organizations on the links between predictors and predicted variable, especially in an emerging country such as Indonesia.