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This research examines how responsible deployment of ChatGPT in the UAE’s government sector, guided by New Public Management principles, can enhance customer journeys by integrating services across government bodies. Through semi-structured interviews with UAE government officers, the study investigates this approach’s benefits, challenges, and applications for achieving efficient and integrated public service delivery.

This research adopts a qualitative approach, purposive sampling strategy, and semi-structured interviews to explore the subjective viewpoints of 20 high-level UAE government authorities. The thematic analysis uncovers ChatGPT’s benefits, challenges, and applications, aligning with New Public Management principles.

Thematic analysis reveals four themes: Benefits and Applications of ChatGPT, Challenges, Strategies to Overcome Challenges, and Steps for Customer Journey Enhancement through ChatGPT.

The analysis is based on participant responses provided during the interviews, which may be subject to biases or incomplete information. Secondly, the study focuses solely on the provided applications and participant responses, limiting the generalizability of the conclusions to other contexts.

The implementation of ChatGPT in the government sector has practical implications for transforming its operations and enhancing communication, efficiency, decision-making, and service offerings: citizen engagement, streamlined processes, and informed governance.

This study uniquely examines ChatGPT’s role in government, offering insights into communication, efficiency, decision-making, and service offerings. Identifying hurdles enriches understanding of ChatGPT’s practical integration in government.

This study comprehensively reviews the Fourth Industrial Revolution, which refers to Industry 4.0 (IR 4.0) applications in small and medium enterprises (SMEs). Multinational companies and big corporations have the capacity and resources to implement IR 4.0, but SMEs are limited due to financial constraints, expertise and lack of resources. Even so, IR 4.0 is required as technologies evolve and market demand has changed how firms do business.

To uncover the potential of IR 4.0 and critical determinants of SMEs’ adoption of IR 4.0, this study presents a bibliometric analysis to evaluate the current research streams in IR 4.0 adoption among SMEs through bibliographic coupling. Furthermore, this review provides a glimpse of the future by analyzing prospective trends on IR 4.0 in SMEs.

Bibliographic coupling produces five clusters: (1) challenges and barriers in IR 4.0 implementation among SMEs, (2) technological adoption of IR 4.0, (3) opportunities and benefits of IR 4.0, (4) business model innovation and (5) implication of IR 4.0 on SMEs technologies. On the contrary, co-word analysis produces three clusters: (1) technologies in IR 4.0, (2) strategy and management of IR 4.0 among SMEs and (3) IR 4.0 model for SMEs.

Implications are directly related to business owners, policymakers and technology developers meeting the needs of the industry and SMEs, which are the focus of this review.

The findings contribute significantly to the body of knowledge by presenting a state-of-the-art science mapping approach to uncover the knowledge structure and intellectual linkage of IR 4.0 adoption within SMEs.

This chapter seeks to explore different aspects of Modernism in the works of Ernest Hemingway, in particular The Garden of Eden that is set in the 1920s and The Sun Also Rises that was created in 1926. Therefore, the aim is to demonstrate what makes The Garden of Eden Modernist even though it was first published in 1986. In other words, the main point is to show how Hemingway constructs Modernism and whether there are parallels between the depictions of Modernism in both works. The first part of this chapter particularly emphasises aspects of American Modernism as the basis for the second part that focuses on the analyses of the works.

This study aims to understand and explain factors that influence how, when and under which conditions local governments adopt digital technologies for citizen collaboration. It discusses what these findings mean for city digital twin adoption.

This research uses the systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) process to collect and evaluate evidence needed to answer the research questions. It uses the technology–organisation–environment (TOE) framework and proposes an additional dimension: “stakeholders” as the analytical framework.

Critical influential factors identified include the technology dimension: security and privacy; organisation dimension: top management support; environment dimension: political influence; and stakeholders’ dimension: technological experience.

This research extends the TOE framework and comprehensively analyses those factors which relate to citizens but significantly impact local government’s decision to adopt digital tools for collaboration purposes. This research posits that in the context of local government technology adoption for collaboration, both the organisation and stakeholders’ dimensions are critical.

This research contributes to the government-citizen discourse and provides a constructive understanding of technological transformation in collaborative planning. The findings are helpful for local governments, researchers and geospatial industries as they offer a critical understanding of digital technology adoption, particularly city digital twins, for collaborative planning.

This study extends the TOE framework to include aspects relating to citizens. It provides a nuanced understanding of the influential factors and intricacies of technology adoption by local governments for citizen collaboration. It also discusses relevant issues of city digital twins’ adoption by local governments for citizen participation.

Large supermarket chains are adopting customer-service robots to improve service delivery in physical stores. Successful deployment of these robots depends on shoppers' willingness to interact with them, requiring an understanding of influencing factors. This study, grounded in the Cognitive-Affective-Normative (CAN) theory, seeks to systematically explore the factors influencing Gen Z shoppers' willingness to interact with customer-service robots.

A hybrid approach combining Structural Equation Modeling (SEM) and Necessary Condition Analysis (NCA) was employed to analyze survey data collected from 945 Gen Zs in the Czech Republic.

The results from SEM highlight significant cognitive, normative, and affective factors that influence the intention of Gen Z shoppers to interact with a customer-service robot. Specifically, cognitive factors such as effort and performance expectancy, along with normative factors like subjective norms, emerged as critical determinants. Furthermore, affective factors such as technology anxiety and positive emotions significantly influence users' readiness to use customer-service robots for service requests. The study also underscores that positive emotions, effort expectancy, performance expectancy, and subjective norms are vital prerequisites for interacting with customer-service robots.

The originality of this work lies in its two significant contributions to the burgeoning field of SRs in retail literature. First, it extends the CAN theory to the context of SRs among Gen Z shoppers in Czechia, thereby enriching the existing literature on SRs in retail. Second, by employing a hybrid analytical approach, our research offers both empirical and methodological advancements, providing rigorous insights crucial for enhancing the understanding of the pivotal factors influencing shoppers' interactions with SRs in physical store environments.

Our library, supporting the education, research, and clinical missions of our health science institution in California's Bay Area, serves a diverse community including the public. It is common for people experiencing homelessness, mental health, or addiction issues to enter our spaces and be reported for some kind of incident. Library staff find themselves in confrontational situations, unsure how to proceed. Calling the police may not be the is not always best response as it could escalate tensions and harm those in crisis. This reflects a cultural shift and is a charge to educate ourselves and seek out other de-escalation and response strategies. To address these challenges, our library successfully secured funding for a training program focused on trauma-informed and anti-racist approaches. This initiative begins with a series of customized training sessions designed to build library-wide understanding of trauma-informed principles and practices. The immediate goal is to enhance our staff's knowledge and skills, forming a solid foundation for revising resources, policies, and processes that promote transparency, communication, and support within our community. The long-term goal includes the development of a culture that recognizes and applies trauma-informed principles internally and externally. Emphasized by library leadership's belief that safety and response support are our collective responsibilities; our program will lead to a deeper awareness of trauma informed principles and concepts in the library environment, calling all of us to take on the responsibility to learn, engage, and apply with care and compassion.

Teachers’ explanations of scientific concepts to students are essential to science teaching. While there is potential for such explanations to perpetuate societal advantage, we argue that explanation in science education can be an emancipatory practice when considering the needs, aspirations, life experiences and background knowledge of teachers’ diverse groups of students. Considering that explaining science is usually implemented as a hierarchical discourse, the purpose is to inform science education in Latin America towards teaching practices that can promote a dialogical approach to distribute the power of knowledge in the classroom. This chapter discusses research on teacher education conducted in science classrooms, focusing on how explanations in science education can offer opportunities for enhancing educational equity and access to the languages of the sciences.

The main objective is to develop a new design methodology for pressure hulls, prioritizing steel weight reduction without compromising structural safety. Genetic algorithms (GA) will be employed to optimize the structural weight of the hull of a pressure vessel, considering the Det Norske Veritas (DNV) standard formulation. This includes optimizing both the scantling of the pressure hull and the dimensions of the frames while complying with constraints based on the DNV regulation: nominal, over-immersion and collapse pressures. The proposed solution will be analyzed using finite element analysis (FEA) to verify that the obtained scantlings meet the design requirements.

An optimization of the design parameters of the structure of a pressure hull based on GA is proposed. The starting point is individuals randomly generated by combining the different values that each parameter will take. The surviving designs will be required to meet DNV standards and will be ranked according to the structural weight of each design. Prevailing will be those genes that make designs that comply with the standards and are less heavy. Finally, the feasibility of the design proposed by the GA will be tested by FEM.

The structural integrity of the design resulting from the application of GA (which complies with DNV regulations) has been evaluated by means of FEM considering different constructive defects. In summary, the proposed methodology combined with GA provides a preliminary design of the pressurized hull in a fast way, ensuring compliance with the structural requirements according to the current regulations. Furthermore, this design is optimized in terms of its own weight. The reduction in structural weight provides a reserve of buoyancy that can be used to increase other weight categories, thus extending the operating time of the pressure vessel.

This novel approach allows to quickly obtain a preliminary design of a pressure hull structure optimized for minimum weight and ensuring compliance with classification societies. The proposed methodology provides the user with a preliminary design with lower material cost and allows the increase of other weight items.

Ultra-processed food products are omnipresent in our homes and in grocery stores, and everybody consumes these food products once in a while. In this context, the present study aims to analyse what factors influence the consumption behaviour of ultra-processed food products and, more precisely, what factors drive consumer satisfaction and purchase intention of these food products in one specific market – Spain-.

A model of consumer behaviour of ultra-processed food products is proposed and analysed through structural equation modelling on a sample of 608 consumers.

Findings indicate that the effortlessness of ultra-processed food products, as well as their affordability, are the factors that exert the higher influence on consumer satisfaction and purchase intention of ultra-processed food products. On the other hand, the product quality and the ability to save time show a negative influence on both consumer satisfaction and intention to purchase. Contrary to the initial expectations, product convenience and the hedonistic nature of ultra-processed food products do not influence consumer behaviour.

Food policymakers and public health interventions may consider possible actions to reduce the consumption of ultra-processed food products, the reduction of their affordability through taxation or the compulsory inclusion of nutritional warnings in the front of the package to confront marketing actions developed by food companies.

This study examines the factors that drive the purchase and consumption of ultra-processed food products in one European mature market: Spain.