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Purpose: The purpose of this chapter is to review and critically evaluate robots, artificial intelligence and service automation (RAISA) applications in the restaurant industry to educate professors, graduate students, and industry professionals.

Design/methodology/approach: This chapter is a survey of applications of RAISA in restaurants. The chapter is based on the review of professional and peer-reviewed academic literature, and the industry insight section was prepared based on a 50-minute interview with Mr. Juan Higueros, Chief Operations Officer of Bear Robotics.

Findings: Various case studies presented in this chapter illustrate numerous possibilities for automation: from automating a specific function to complete automation of the front of the house (e.g., Eatsa) or back of the house (e.g., Spyce robotic kitchen). The restaurant industry has already adopted chatbots; voice-activated and biometric technologies; robots as hosts, food runners, chefs, and bartenders; tableside ordering; conveyors; and robotic food delivery.

Practical implications: The chapter presents professors and students with a detailed overview of RAISA in the restaurant industry that will be useful for educational and research purposes. Restaurant owners and managers may also benefit from reading this chapter as they will learn about the current state of technology and opportunities for RAISA implementation.

Originality/value: To the best of the authors’ knowledge, this chapter presents the first systematic and in-depth review of RAISA technologies in the restaurant industry.

Voice command and voice search are becoming increasingly popular in the hospitality and tourism industry, with many hotels and travel companies investing in voice-enabled technology to improve guest experiences and streamline operations. This technology allows travellers to manage their travel plans, request services and get information through natural voice commands on any voice-enabled device. Voice assistants are also multilingual, allowing hotels to customise responses to guests who do not speak the local language. Angie, a multilingual, in-room voice assistant, is an example of this technology. It can fulfil guest requests, answer common questions about the property and create streamlined access to a wide range of hotel amenities, such as ordering room service or requesting extra towels. Hotels can control questions and responses to assist stretched staff and provide upsell and advertising revenue through digital promotions or recommended onsite amenities or discounts. In addition, voice command technology can be used to book travel and find things to do at a destination. Google Assistant can help with travel plans like booking a hotel, checking flight status and finding things to do at a destination. In conclusion, voice command and voice search technology are transforming the hospitality and tourism industry by improving guest experiences, reducing operational costs and increasing revenue.

While there was heightened awareness on the technologies of the fourth industrial revolution (IR 4.0) prior to COVID-19, studies have shown that the adoption of these advanced technologies (e.g. Big Data, robotics, Internet of Things, etc.) continues to remain low across global industries. This qualitative study sought to explore the reasons for the low rate of adoption of these technologies and appropriate measures to enhance their adoption at hotels, through the lens of hotel executives.

Based on interpretivist's ideals, this study follows a case study design and adopts a qualitative method of enquiry. The heterogenous purposive sampling technique was employed to gather data for the study, using semi-structured interviews.

Grounded on the technology-organisation-environment (TOE) framework, the thematic analysis revealed technology, organisation and environment-related reasons for the low rate of IR 4.0 technologies adoption at hotels in Malaysia. Also, the study uncovered some interesting measures that will enhance the adoption of these advanced technologies at hotels.

This study unearths technology, organisation and environment-related reasons for low adoption, and measures to enhance the adoption of IR 4.0 technologies in hotels. This study also enlightens hotel owners and technology providers about practical issues that will ensure the successful adoption of such technologies to enhance hotel business. In line with SDG 9, this study also seeks to promote sustainable innovation in the hospitality industry. Practical and theoretical implications have also been discussed in this study.

Alexa’s integration in rural primary schools has improved the pedagogy and has created an engaging and objective learning environment. This study investigates the integration, with a specific focus on exploring its various aspects. The impact of Alexa’s on students' English vocabulary, comprehension and public speaking are examined. This study aims to provide insights the teachers and highlight the potential of artificial intelligence (AI) in rural education.

This content analysis study explores the use of Alexa in primary education in rural areas of India. The study focuses on the types of the questions asked by the students and examines the pedagogical implications of these interactions. By analyzing the use of Alexa in rural educational settings, this study aims to contribute to our understanding of how voice assistants are utilized as educational tools in underprivileged areas.

Alexa significantly improved students' English vocabulary, comprehension and public speaking confidence. Alexa increased school enrollment and retention. Virtual voice assistants like Alexa may improve pedagogy and help India’s rural education. This study shows AI improves rural education.

The study only covers rural India. Self-reported data and observations may bias the study. The small sample size may underrepresent rural educational institutions in India.

Alexa is used to study rural India’s primary education. Voice assistants in rural education are understudied. The study examines Alexa’s classroom use, student questions, and policy and teacher education implications. AI’s education transformation potential addresses UNESCO’s teacher shortage. This novel study examines how AI can improve rural education outcomes and access.

Technology enabled care (TEC) equipment has been a part of adult social care (ASC) in most areas of the UK for decades. More recently, commissioners have been exploring mainstream technologies’ potential to support older people living in the community. The purpose of this paper is to examine the challenges and opportunities presented by the growing application of mainstream technologies in ASC against the backdrop of the planned UK-wide switchover from analogue to digital telecommunications by 2025.

This general review uses research evidence, literature, industry standards and policy documents to address the challenges presented by the UK’s digital switchover and the potential role of mainstream technologies such as “smart speakers” in ASC.

The use of digital TEC and mainstream devices in ASC brings challenges related to access to reliable internet connections in parts of the UK; the need to update TEC safety standards; the ethics, privacy and data security measures that ensure digital products and services safeguard the interests of users; and evidence and commissioning practice.

This general review explores emerging areas of policy and research related to the planned UK digital switchover and the use of mainstream technologies in ASC. It offers a conceptual approach and suggests ways forward for research, regulatory and commissioning agendas.

The purpose of this paper is to present the alignment of disruptive technologies into library and information science (LIS) and libraries as virtual learning spaces during the COVID-19 pandemic lockdown as alternative trajectories to end the disruption caused by the COVID-19; however, the educational systems are still facing challenges in achieving these lofty objectives.

A living-lab methodology was adopted for this paper as an innovative approach, in which technologies that are in the development stages or full deployments are integrated with social research design to test the viability of such technologies for the intended purposes.

The LIS alignment of virtual learning technologies showed that disruptive technology could benefit academic libraries, with minimum training of staff. However, internet bandwidth, digital divide and lack of built-in functionality on the Zoom, compared with Moodle, for assessment and grading are huge setbacks. Nevertheless, library platforms must be mobile-response and agile software algorithm to include voice-over and voice recognition search functionality to access all the databases.

For this paper, use of disruptive technology was limited to virtual online learning, Zoom and Moodle; however, the alignment of blockchain and big data and the libraries services was not covered.

This paper showed that the LIS could mitigate the COVID-19 global pandemic with disruptive IT alignment with learning management systems (LMS) and for the libraries to remain open during the coronavirus lockdown.

Academic libraries can deploy disruptive technologies as virtual library spaces.

Disruptive technology alignment with LMS as virtual library space was posited for the academic librarians to mitigate the effect of COVID-19 pandemic.

Powered by artificial intelligence, voice assistants (VAs), such as Alexa, Siri and Cortona, are at early-stage adoption rates in service contexts. Customers express hesitance in using the technology. Furthermore, the effect of a relevant variable (VA empathy) as a determinant of VAs is not widely researched. This study aims to extend the unified theory of acceptance and use of technology (UTAUT) and social response theory (SRT) to propose and test a conceptual model of the role of customer perceptions of VA empathy and risk on VA adoption and usage intensity.

In this study, data were collected from 387 VA users in the USA using a survey administered through Amazon MTurk. Data cleaning retained a final n = 318 for structural equation modeling analysis.

Findings show that perceived VA empathy enhances customers’ attitude toward VA and drives adoption, thereby increasing VA usage intensity. Perceived risk is a moderator; users with high perceptions of VA empathy have greater VA adoption rates when they have high (vs low) risk perceptions of using VA.

This research is one of the first known studies to provide empirical evidence of the role of customer perceptions of VA empathy and risk on VA adoption in service delivery. It goes beyond VA adoption research to provide empirical evidence of the impact of VA adoption on actual usage intensity. By extending the UTAUT and SRT, this research adds to the theoretical foundation for research on VA adoption, offering practical insights for firms regarding empathetic VA design to enhance customer service delivery.

This paper seeks to see how libraries measure up to futurists' predictions of libraries of the future.

Compares the ten points in futurist Thomas Frey's paper, “The future of libraries” with the reality of current library services.

By and large, much of what Frey predicts for future libraries is already a reality.

Confirms that librarians and libraries are at the forefront of technology and providing information through different media and methods.