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The paper suggests overcoming the polarization of today's debate on peer‐to‐peer (P2P) systems by defining a fair balance between the principle of precaution and the principle of openness. Threats arising from these file sharing applications‐systems should not be a pretext to limit freedom of research, speech or the right “freely to participate in the cultural life of the community”, as granted by the Universal Declaration of Human Rights from 1948. The paper aims to take sides in today's debate.

The paper adopts an interdisciplinary approach, including network theory, law and ethics. The method draws on both theoretical and empirical material so as to stress the paradox of the principle of precaution applied to P2P systems and why the burden of proof should fall on the party proposing that one refrain from action.

Censors and opponents of P2P systems who propose to apply the principle of precaution to this case deny the premise upon which that principle rests. “Levels of evidence” required by the precautionary principle show that – in many cases in which the outcomes of technology are ignored – another principle is needed for orienting action, namely, the principle of openness.

Alarm about how P2P systems undermine crucial elements of the societies often led to the ban of this technology. The paper illustrates why it should not be the case: rather than shutting these networks down, they should be further developed.

The paper provides the comprehensive picture of a far too often fragmented debate.

The paper aims to examine the environmental challenges of artificial intelligence (AI) in EU law that regard both illicit uses of the technology, i.e. overuse or misuse of AI and its possible underuses. The aim of the paper is to show how such regulatory efforts of legislators should be understood as a critical component of the Green Deal of the EU institutions, that is, to save our planet from impoverishment, plunder and destruction.

To illustrate the different ways in which AI can represent a game-changer for our environmental challenges, attention is drawn to a multidisciplinary approach, which includes the analysis of the initiatives on the European Green Deal; the proposals for a new legal framework on data governance and AI; principles of environmental and constitutional law; the interaction of such principles and provisions of environmental and constitutional law with AI regulations; other sources of EU law and of its Member States.

Most recent initiatives on AI, including the AI Act (AIA) of the European Commission, have insisted on a human-centric approach, whereas it seems obvious that the challenges of environmental law, including those triggered by AI, should be addressed in accordance with an ontocentric, rather than anthropocentric stance. The paper provides four recommendations for the legal consequences of this short-sighted view, including the lack of environmental concerns in the AIA.

The environmental challenges of AI suggest complementing current regulatory efforts of EU lawmakers with a new generation of eco-impact assessments; duties of care and disclosure of non-financial information; clearer parameters for the implementation of the integration principle in EU constitutional law; special policies for the risk of underusing AI for environmental purposes. Further research should examine these policies in connection with the principle of sustainability and the EU plan for a circular economy, as another crucial ingredient of the Green Deal.

The paper provides a set of concrete measures to properly tackle both illicit uses of AI and the risk of its possible underuse for environmental purposes. Such measures do not only concern the “top down” efforts of legislators but also litigation and the role of courts. Current trends of climate change litigation and the transplant of class actions into several civil law jurisdictions shed new light on the ways in which we should address the environmental challenges of AI, even before a court.

A more robust protection of people’s right to a high level of environmental protection and the improvement of the quality of the environment follows as a result of the analysis on the legal threats and opportunities brought forth by AI.

The paper explores a set of issues, often overlooked by scholars and institutions, that is nonetheless crucial for any Green Deal, such as the distinction between the human-centric approach of current proposals in the field of technological regulation and the traditional ontocentric stance of environmental law. The analysis considers for the first time the legal issues that follow this distinction in the field of AI regulation and how we should address them.

The paper aims to examine the profound transformations engendered by the information revolution in order to determine aspects of what should be visible or invisible in human affairs. It seeks to explore the meaning of invisibility via an interdisciplinary approach, including computer science, law, and ethics.

The method draws on both theoretical and empirical material so as to scrutinise the ways in which today's information revolution is recasting the boundaries between visibility and invisibility.

The degrees of exposure to public notice can be understood as a matter of balance between access and control over information in a specific context, as well as a function of the ontological friction in a given region of the environment.

The originality of the case study on a new kind of recommender system is enhanced because of the procedural approach which is suggested to further develop the distinction between “good” and “evil” as anything that enriches, or damages, the informational complexity of the environment.

The vision of robotics in the home promises increased convenience, comfort, companionship and greater security for users. The robot industry risks causing harm to users, being rejected by society at large or being regulated in overly prescriptive ways if robots are not developed in a socially responsible manner. The purpose of this paper is to explore some of the challenges and requirements for designing responsible domestic robots.

The paper examines definitions of robotics and the current commercial state of the art. In particular, it considers the emerging technological trends, such as smart homes, that are already embedding computational agents in the fabric of everyday life. The paper then explores the role of values in design, aligning with human computer interaction, and considers the importance of the home as a deployment setting for robots. The paper examines what responsibility in robotics means and draws lessons from past home information technologies. An exploratory pilot survey was conducted to understand user concerns about different aspects of domestic robots such as form, privacy and trust. The paper provides these findings, married with literature analysis from across technology law, computer ethics and computer science.

By drawing together both empirical observations and conceptual analysis, this paper concludes that user centric design is needed to create responsible domestic robotics in the future.

This multidisciplinary paper provides conceptual and empirical research from different domains to unpack the challenges of designing responsible domestic robotics. In doing this, the paper seeks to bridge the gap between the normative dimensions of how responsible robots should be built, and the practical dimensions of how people want to live with them in context.

The purpose of this paper is to present a concept of the protocol for public registries based on blockchain. New database protocol aims to use the benefits of blockchain technologies and ensure their interoperability.

This paper is framed with design science research (DSR). The primary method is exaptation, i.e. adoption of solutions from other fields. The research is looking into existing technologies which are applied here as elements of the protocol: Name-Value Storage (NVS), Berkley DB, RAID protocol, among others. The choice of NVS as a reference technology for creating a database over blockchain is based on the analysis and comparison with two other similar technologies Bigchain and Amazon QLDB.

The proposed mechanism allows creating a standard database over a bundle of distributed ledgers. It ensures a blockchain agnostic approach and uses the benefits of various blockchain technologies in one ecosystem. In this scheme, blockchains play the role of journal storages (immutable log), whereas the overlaid database is the indexed storage. The distinctive feature of such a system is that in blockchain, users can perform peer-to-peer transactions directly in the ledger using blockchain native mechanism of user access management with public-key cryptography (blockchain does not require to administrate its database).

This paper presents a new method of creating a public peer-to-peer database across a bundle of distributed ledgers.

To influence consumer pre-purchase decision-making processes, such as brand selection and perceived brand experience, brands are interested in adopting hyperconnected technological stimuli, such as artificial intelligence, augmented reality (AR), virtual reality, social media and tech devices. However, the understanding of different hyperconnected touchpoints remained shallow and results mixed in previous literature, despite the fact that these touchpoints span different technological interfaces/devices and may influence consumer brand selection. This paper aims to solidify the conceptual underpinnings of the role of online hyperconnected stimuli, which may influence consumer psychological reactions in terms of brand selection and experience.

This paper is conceptual and presents a discussion based on extant literature from various international publishers.

The authors revealed different technological stimuli in the online hyperconnected environment that may influence consumer online hyperconnected brand selection (OHBS), perceived online hyperconnected brand experience (OHBE), perceived well-being and behavioral intention.

The conceptual understanding of OHBS and perceived OHBE was mixed and inconsistent in previous studies. This paper brings together extant literature to establish the conceptual understanding of antecedents and outcomes of OHBS, i.e. perceived OHBE, perceived well-being and behavioral intention, and presents a cohesive conceptual framework.

The service sector is at an inflection point with regard to productivity gains and service industrialization similar to the industrial revolution in manufacturing that started in the eighteenth century. Robotics in combination with rapidly improving technologies like artificial intelligence (AI), mobile, cloud, big data and biometrics will bring opportunities for a wide range of innovations that have the potential to dramatically change service industries. The purpose of this paper is to explore the potential role service robots will play in the future and to advance a research agenda for service researchers.

This paper uses a conceptual approach that is rooted in the service, robotics and AI literature.

The contribution of this paper is threefold. First, it provides a definition of service robots, describes their key attributes, contrasts their features and capabilities with those of frontline employees, and provides an understanding for which types of service tasks robots will dominate and where humans will dominate. Second, this paper examines consumer perceptions, beliefs and behaviors as related to service robots, and advances the service robot acceptance model. Third, it provides an overview of the ethical questions surrounding robot-delivered services at the individual, market and societal level.

This paper helps service organizations and their management, service robot innovators, programmers and developers, and policymakers better understand the implications of a ubiquitous deployment of service robots.

This is the first conceptual paper that systematically examines key dimensions of robot-delivered frontline service and explores how these will differ in the future.

This paper aims to review the extant hospitality and tourism literature on the state of robotics and artificial intelligence (AI) in the service industry. The aim was to highlight the current areas of research on this emerging topic and identify areas for future application and study.

A list of hospitality and tourism journals was used to identify articles related to AI and robotics using the terms AI, robots, robotics, hospitality and tourism, and several combinations thereof. Additional sources were identified through the literature reviews from the identified works.

The findings revealed several studies on the current state of robotics and AI in hospitality and tourism. Additional research examines and discusses implications for internal and external customer service, legal and ethical issues and theory.

This paper provides a compilation of the current studies that examine the impact of robotics and AI in hospitality and tourism. It offers scholars an overview of the current knowledge in the field on this rapidly emerging and evolving topic.

本文审阅了有关服务行业中机器学和智能技术（AI）发展的相关文献。其研究目的在于强调有关这个新兴话题的研究领域和指出未来研究方向。

本文样本包括有关AI和机器学的期刊文献，关键搜索词包括AI、机器人、机器学、酒店管理、旅游，以及几项关键词组合。本文还通过文献综述审阅了多个数据源。

研究结果描述了目前酒店旅游行业机器学和AI有关领域的研究状态。此外本文还研究和提出对于内部和外部客户服务、法律伦理问题、以及理论等领域做出研究启示。

本文对目前有关机器学和AI酒店旅游学术研究进行系统梳理。为学者对其相关领域的现状提供全局视角，并且显示这个新兴话题的迅速发展。

文献综述、AI、机器学、酒店科技

This study aimed to develop an adapted collaborative governance model for aviation human resource development in Indonesia's approved training organisations (ATO), considering the expected changes in the industry due to advanced technologies. The model, based on Ansell and Gash's approach, emphasizes multi-stakeholder collaboration to ensure workforce development aligns with industry and regulatory standards and accommodates technological advancements.

Qualitative methods, such as in-depth interviews and focus group discussions, were employed to collect and analyse data.

The results indicated that collaborative governance is a valuable tool for cultivating competent human resources and facilitating industry improvement in the face of rapid technological change.

The proposed model contributes significantly to the field by promoting inclusive and effective human resource development through the Centre for Aviation Human Resource Development (CAHRD), thereby preparing the Indonesian aviation industry for the impact of advanced technologies. Furthermore, this study contributes to the enhancement of Ansell and Gash's collaborative governance theoretical framework by effectively addressing its empirical gaps concerning vocational education and training challenges within Indonesia's air transportation sector.

Artificial intelligence is one of the most significant and active fields of study in the last few years. Artificial intelligence-derived robotic technologies known as chatbots are gaining interest from both academic and industry sectors. By analyzing the development and patterns of research on the chatbot phenomena within the tourism field, this study seeks to develop a theoretical framework for the interaction between chatbots and tourism.

The Web of Science (WoS) database’s 33 articles on chatbots related to travel and hospitality were examined between 2019 and 2024 using VOSviewer software for bibliometric and thematic content analysis.

Research on chatbots for tourism and hospitality appears to be in its early stages. The factors influencing tourists' intentions to use chatbots have been thoroughly researched; the attitudes, perceptions and behavioral intentions of destinations, travel agencies and restaurant patrons regarding chatbots were examined, and it was found that the quantitative research approach was dominant. In addition, the majority of the studies are based on a particular theory or model.

This is one of the first attempts to directly comprehend and depict the interconnected structures of studies on the interaction between chatbots and tourism through the use of network analysis. Furthermore, the study’s findings can offer academics a comprehensive viewpoint and a reference manual for more accurate assessment and oversight of the chatbot-tourism interaction. Regarding the lack of research on the topic and the fragmented structure of the studies that exist, it is imperative to provide both a comprehensive overview and a roadmap for future investigations into the usage of chatbots in the travel and hospitality sector.