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The purpose of this study is to provide insights and guidance for practitioners in terms of ensuring rigorous ethical and moral conduct in artificial intelligence (AI) hiring and implementation.

The research employed two experimental designs and one pilot study to investigate the ethical and moral implications of different levels of AI implementation in the hospitality industry, the intersection of self-congruency and ethical considerations when AI replaces human service providers and the impact of psychological distance associated with AI on individuals' ethical and moral considerations. These research methods included surveys and experimental manipulations to gather and analyze relevant data.

Findings provide valuable insights into the ethical and moral dimensions of AI implementation, the influence of self-congruency on ethical considerations and the role of psychological distance in individuals’ ethical evaluations. They contribute to the development of guidelines and practices for the responsible and ethical implementation of AI in various industries, including the hospitality sector.

The study highlights the importance of exercising rigorous ethical-moral AI hiring and implementation practices to ensure AI principles and enforcement operations in the restaurant industry. It provides practitioners with useful insights into how AI-robotization can improve ethical and moral standards.

The study contributes to the literature by providing insights into the ethical and moral implications of AI service robots in the hospitality industry. Additionally, the study explores the relationship between psychological distance and acceptance of AI-intervened service, which has not been extensively studied in the literature.

This study aims to investigate how living lab (LL) activities align with responsible research and innovation (RRI) principles, particularly in artificial intelligence (AI)-driven digital transformation (DT) processes. The study seeks to define a framework termed “responsible living lab” (RLL), emphasizing transparency, stakeholder engagement, ethics and sustainability. This emerging issue paper also proposes several directions for future researchers in the field.

The research methodology involved a literature review complemented by insights from a workshop on defining RLLs. The literature review followed a concept-centric approach, searching key journals and conferences, yielding 32 relevant articles. Backward and forward citation analysis added 19 more articles. The workshop, conducted in the context of UrbanTestbeds.JR and SynAir-G projects, used a reverse brainstorming approach to explore potential ethical and responsible issues in LL activities. In total, 13 experts engaged in collaborative discussions, highlighting insights into AI’s role in promoting RRI within LL activities. The workshop facilitated knowledge sharing and a deeper understanding of RLL, particularly in the context of DT and AI.

This emerging issue paper highlights ethical considerations in LL activities, emphasizing user voluntariness, user interests and unintended participation. AI in DT introduces challenges like bias, transparency and digital divide, necessitating responsible practices. Workshop insights underscore challenges: AI bias, data privacy and transparency; opportunities: inclusive decision-making and efficient innovation. The synthesis defines RLLs as frameworks ensuring transparency, stakeholder engagement, ethical considerations and sustainability in AI-driven DT within LLs. RLLs aim to align DT with ethical values, fostering inclusivity, responsible resource use and human rights protection.

The proposed definition of RLL introduces a framework prioritizing transparency, stakeholder engagement, ethics and sustainability in LL activities, particularly those involving AI for DT. This definition aligns LL practices with RRI, addressing ethical implications of AI. The value of RLL lies in promoting inclusive and sustainable innovation, prioritizing stakeholder needs, fostering collaboration and ensuring environmental and social responsibility throughout LL activities. This concept serves as a foundational step toward a more responsible and sustainable LL approach in the era of AI-driven technologies.

This study aims to investigate the ethical issues related to the internet of Things (IoT) deployment in small- and medium-sized enterprises (SMEs) from an individual employee's perspective. To provide researchers and practitioners with concrete tools for examining these matters, an ethical framework dedicated to IoT is introduced.

First, the applicability of Mason's original privacy, accuracy, property and accessibility (PAPA) framework is studied in the IoT context. Second, issue category additions are proposed based on the identified coverage limitations of PAPA.

While the original PAPA framework can be utilised as a generic ethical evaluation tool, it lacks coverage of several IoT-specific issue areas. To thoroughly address the ethical risks associated with IoT, two additional categories are introduced.

The new framework requires further validation to ensure its applicability and to identify potential modification requirements in continuously evolving IoT ecosystems.

Considering the lack of ethical IoT frameworks, this study provides organisations with a practical framework for analysing the ethical issues in IoT deployment.

Ethical standards for IoT have not been sufficiently addressed in the current literature and frameworks, making the ethical considerations dependent on subjective stances. Thus, there is an acute demand for a practical framework that outlines the general ethical standards, helping its users to thoroughly address the potential ethical issues.

While the use of IoT keeps growing in SMEs, there is an apparent lack of ethical guidelines. This study contributes to the gap by introducing a preliminary framework for both practical use and further theoretical development.

Debates on the ethics of disaster and humanitarian studies concern unequal relations in research (among research institutes/researchers/stakeholders); the physical and psychological well-being of research participants and researchers; and the imposition of western methods, frameworks and epistemologies to the study of disasters. This paper focuses on everyday ethics: how they need to be translated throughout the everyday practices of research and how researchers can deal with the ethical dilemmas that inevitably occur.

This paper analyses the process of addressing ethics-related dilemmas from the first author's experiences researching disaster governance in high-intensity conflict settings, in particular drawing from 4 to 6 months of fieldwork in South Sudan and Afghanistan. In addition, ethical issues around remote research are discussed, drawing on the example of research conducted in Yemen. It is based on the personal notes taken by the first author and on the experience of both authors translating guidelines for research in remote and hazardous areas into research practices.

The paper concerns translating ethics into the everyday practices of research planning, implementation and communication. It argues for the importance of adaptive research processes with space for continuous reflection in order to advance disaster studies based on (1) equitable collaboration; (2) participatory methodologies wherever possible; (3) safety and security for all involved; (4) ethical approaches of remote research and (5) responsible and inclusive research communication and research-uptake. Openness about gaps and limitations of ethical standards, discussions with peers about dilemmas and reporting on these in research outcomes should be embedded in everyday ethics.

The paper contributes to discussions on everyday ethics, where ethics are integral to the epistemologies and everyday practices of research.

In April 2020, it was announced that NHSX, a unit of the UK National Health Service (NHS) responsible for digital innovation, was developing a contact tracing app that would offer a digital solution to managing the COVID-19 pandemic. Despite the urgency with which the app was developed, a clear commitment was made to designing the technology in a way that enshrined key ethical principles, and an ethics advisory board (EAB) was established to provide timely advice, guidance and recommendations on associated ethical issues. Alongside this, there were extensive criticisms of how NHSX adhered to ethical principles in the handling of the app development-criticisms that require empirical exploration. This paper explores how ethics was incorporated into decision-making during governance processes associated with the development of app.

Interviews were conducted with those involved in the app's development/governance, those with a consulting role associated with the app, or those who sat on the EAB.

The EAB fulfilled an important role by introducing ethical considerations to app developers. Though at times, it was difficult to accommodate key ethics principles into governance processes, which sometimes suffered from little accountability.

While several articles have provided overviews of ethical issues, or explored public perceptions towards contact tracing apps, to the best the authors, knowledge this is the first empirical piece analysing ethics governance issues via stakeholder interviews.

This study aims to explore the complexities of methodological, ethical and emotional challenges of studying sensitive and vulnerable communities online from the perspective of simultaneously being a researcher and a research subject. The point of departure for these explorations consists of the author’s past and ongoing studies of the role and use of a closed grief support group on Facebook for bereaved parents – a community of which the author is a member. The aim is not to provide ready solutions for “how to do ethics,” but rather to contribute to the collective and ongoing work initiated by the Association of Internet Researchers (AoIR), among others, and to recognize the necessity of ethical pluralism, cross-cultural awareness and an interdisciplinary approach.

This is an explorative study, drawing on an (auto)ethnographic case study. The case serves as a point of departure for discussing the complexities of methodological, ethical and emotional challenges of studying sensitive and vulnerable communities online from the perspective of simultaneously being a researcher and a research subject.

Being a researcher and a research subject rolled into one, as it were, presents both opportunities and challenges. To conduct responsible research from both these perspectives pose high demands on the researchers’ ethical as well as emotional capacities and responsibilities. Hopes and expectancies of the community under study might put the researcher into a dilemma, ethical aspects of anonymity and informed consent might have to be reconsidered as well as emotional challenges of engaging in and with sensitive research, all of which makes for a complex balancing act. Ethics and methods are inextricably intertwined, so are the emotional challenges of conducting sensitive research intermingled. Studying vulnerable individuals and closed communities online highlights the necessity for case and context sensitive research and for flexibility, adaptivity and mindfulness of the researcher. It also highlights the importance of discussing and questioning theoretical, methodological and ethical developments for studying everyday life practices online.

The challenges encountered in this case study contribute to the experientially grounded approach to research ethics emphasized in AoIR’s ethics guidelines. This case offers an opportunity to explore and discuss complex issues arising from the researcher’s insider position in a closed group devoted to the sensitive topic of supporting bereaved parents. Further, it highlights the necessity for research to be case and context sensitive as well as for the researcher and the research design to be flexible and adaptive. Research on vulnerable communities also heightens the demands of ethical responsibility of the researcher and the research process.

The purpose of this paper is to document the opportunities and challenges of a practitioner researcher in accessing interpretive case participants in the public healthcare sector in Ireland.

The paper documents the research design and implementation phases of a longitudinal interpretive research project with specific focus on, research ethics, preparing for data collection, identifying and recruiting the research participants and analysis of the findings based on the specific nuances of the public health context and design considerations. Considerations as an insider researcher in a large public organisation are also presented.

Conducting interpretive research in a healthcare setting presents both opportunities and some challenges; key amongst these is agreed access to research participants. In addition, with research taking place in a healthcare environment, the potential for disclosure of information regarding something harmful to patients or of a criminal nature exists. This risk can be addressed through the ethical approval process documented in this paper. Insider researcher considerations are also explored focussing on the specific nuances affiliate to carrying out a longitudinal interpretive study in a public healthcare setting.

Insights for those wishing to conduct longitudinal interpretive case research in the public healthcare setting are included. The implications for enhanced engagement with interpretive research in this context are addressed.

Through documenting the opportunities and challenges of a practitioner researcher in accessing research participants in the public healthcare sector, this paper discusses insider researcher considerations and seeks to address concerns in the literature regarding insufficient detail relating to interpretive research design and implementation in healthcare contexts.

Following the surge of documents laying out organizations' ethical principles for their use of artificial intelligence (AI), there is a growing demand for translating ethical principles to practice through AI governance (AIG). AIG has emerged as a rapidly growing, yet fragmented, research area. This paper synthesizes the organizational AIG literature by outlining research themes and knowledge gaps as well as putting forward future agendas.

The authors undertake a systematic literature review on AIG, addressing the current state of its conceptualization and suggesting future directions for AIG scholarship and practice. The review protocol was developed following recommended guidelines for systematic reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).

The results of the authors’ review confirmed the assumption that AIG is an emerging research topic with few explicit definitions. Moreover, the authors’ review identified four themes in the AIG literature: technology, stakeholders and context, regulation and processes. The central knowledge gaps revealed were the limited understanding of AIG implementation, lack of attention to the AIG context, uncertain effectiveness of ethical principles and regulation, and insufficient operationalization of AIG processes. To address these gaps, the authors present four future AIG agendas: technical, stakeholder and contextual, regulatory, and process. Going forward, the authors propose focused empirical research on organizational AIG processes, the establishment of an AI oversight unit and collaborative governance as a research approach.

To address the identified knowledge gaps, the authors present the following working definition of AIG: AI governance is a system of rules, practices and processes employed to ensure an organization's use of AI technologies aligns with its strategies, objectives, and values, complete with legal requirements, ethical principles and the requirements set by stakeholders. Going forward, the authors propose focused empirical research on organizational AIG processes, the establishment of an AI oversight unit and collaborative governance as a research approach.

For practitioners, the authors highlight training and awareness, stakeholder management and the crucial role of organizational culture, including senior management commitment.

For society, the authors review elucidates the multitude of stakeholders involved in AI governance activities and complexities related to balancing the needs of different stakeholders.

By delineating the AIG concept and the associated research themes, knowledge gaps and future agendas, the authors review builds a foundation for organizational AIG research, calling for broad contextual investigations and a deep understanding of AIG mechanisms. For practitioners, the authors highlight training and awareness, stakeholder management and the crucial role of organizational culture, including senior management commitment.

This paper aims to develop and present a new planning framework of social marketing, known as consumer research, segmentation, design of the social programme, implementation, evaluation and sustainability (CSD-IES).

The proposed framework is based on recent theoretical developments in social marketing and is informed by the key strengths of existing social marketing planning approaches.

The CSD-IES planning framework incorporates emerging principles of social marketing. For example, sustainability in changed behaviour, ethical considerations in designing social marketing programmes, the need for continuous research to understand the changing needs of the priority audience during the programme and the need for explicit feedback mechanisms.

The CSD-IES framework is a dynamic and flexible framework that guides social marketers, other practitioners and researchers to develop, implement and evaluate effective and sustainable social marketing programmes to influence or change specific behaviours based on available resources.

This paper makes an important contribution to social marketing theory and practice by integrating elements of behaviour maintenance, consideration of ethical perspectives and continuous feedback mechanisms in developing the CSD-IES framework, bringing it in line with the global consensus definition of social marketing.

This paper aims to discuss research ethics in mixed-methods research (MMR) and MMR development with a focus on ethical challenges that stem from working with technical instruments such as mobile eye-trackers.

The case of an interdisciplinary mixed-methods development study that aimed at researching the impacts of emerging mobile augmented-reality technologies on the perception of public places serves as an example to discuss research-ethical challenges regarding (1) the practical implementation of the study, (2) data processing and management and (3) societal implications of developing instruments to track and understand human practices.

This study reports challenges and experiences in ethical decision-making in the practical implementation of the study regarding the relationship to research subjects, the use of mobile research instruments in public places and the interdisciplinary cooperation among research team members. Further, this paper expounds on ethical challenges and recommendations in data processing and management and with a view to societal implications of method development and the aspirations of transdisciplinarity. This study concludes that institutionalized ethics need to become more flexible, while applied ethics and reflection must make their entry into university curricula across disciplines.

Complex interdisciplinary mobile and mixed-methods projects that involve sensors and instruments such as mobile eye-trackers are on the rise. However, there is a significant lack of engagement with practical research ethical challenges, practices and requirements in both mixed-methods and method-development literature. By taking a context- and process-oriented perspective focusing on doing ethics, the paper contributes a concrete empirical case to these underdeveloped fields.