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The emergence of artificial intelligence (AI) is leading to a job transformation within the service ecosystem in which issues related to AI governance principles may hinder the social sustainability of the sector. The relevance of AI startups in driving innovation has been recognized; thus, this paper aims to investigate whether and how AI startups may influence the sustainable social development (SSD) of the service sector.

An empirical study based on 24 in-depth interviews was conducted to qualitatively explore the perceptions of service sector facing AI policymakers, AI consultants and academics (n = 12), as well as AI startups (founders, AI developers; n = 12). An inductive coding approach was used to identify and analyze the data.

As part of a complex system, AI startups influence the SSD of the service sector in relation to other stakeholders’ contributions for the ethical deployment of AI. Four key factors influencing AI startups’ ability to contribute to the SSD of the service sector were identified: awareness of socioeconomic issues; fostering decent work; systematically applying ethics; and business model innovation.

This study proposes measures for service sector AI startups to promote collaborative efforts and implement managerial practices that adapt to their available resources.

This study develops original guidelines for startups that seek ethical development of beneficial AI in the service sector, building upon Ethics as a Service approach.

This article aims to describe the personal experience and ethical dilemmas that the author encountered when conducting qualitative research on a highly sensitive topic, i.e. interviews with offenders convicted of child pornography.

This study uses an autoethnographic approach to describe and reflect on my personal experience, emotions and ethical dilemmas when undertaking sensitive research that examines illegal acts.

Ethical dilemmas and emotional challenges highlighted refer to the issue of access to useful empirical material, conducting interviews with convicted offenders in prison environments, the complexity surrounding confidentiality when interviewing offenders about their criminal activities, vulnerability and insecurity for the researcher and emotional challenges for the researcher when listening to the offenders’ stories describing serious crimes against children.

This article contributes with insights and reflections on conducting qualitative research with a marginalized and stigmatized group in prison environments.

This study answers the call for research and theorising exploring ethical communication and brand risk from the African continent. The study's purpose was to identify the challenges that strategic communication practitioners face in enacting ethical crisis communication in South Africa.

The researchers conducted ten in-depth interviews with South African strategic communication professionals.

The dominant theme emerging from the study is the marginalisation and exclusion of the communication function in decision-making during crisis situations. Communicators were viewed as implementers, technicians and not strategic counsel. The protection of organisational reputation was done at the expense of the ethics and moral conscience of practitioners. Practitioners were viewed and deployed as spin doctors and tools to face unwanted media interactions.

The article sheds light on the concepts of ethical communication and decision-making in a multicultural African context using the moral theory of Ubuntu and strategic communication. It demonstrates the tension professionals experience as they toggle between unethical capitalist approaches and African values. The practitioner's role as organisational moral conscience is hindered, suppressed and undermined by organisational leadership's directives to use opaque, complex communication, selective transparency and misrepresentation of facts.

In North America, the profession known as ‘research management’ elsewhere across the globe, is often known as ‘research administration’ and encompasses the activities and work associated with developing, administering, accounting for and complying with sponsor requirements, guidelines, procedures, and laws relating to externally funded projects. In the United States and Canada, the expansion of respective federal government agencies and programmes was the major factor for the need and growth of the research administration profession. Initially, administrative and business staff often administered research funding, however over the decades, a fully-fledged profession has evolved with distinct specialisations. Both the United States and Canada now have maturing professions and professional societies to organise and advance research administration. This chapter outlines the chronological origins, growth, and professionalisation of research administration in North America, with a focus on the United States and Canada. Mexico has not yet evolved a formalised research administration infrastructure.

In recent years, there has been significant interest in adopting XR (extended reality) technologies such as VR (virtual reality) and AR (augmented reality), particularly in retail. However, extending activities through reality-mediation is still mostly believed to offer an inferior experience due to their shortcomings in usability, wearability, graphical fidelity, etc. This study aims to address the research gap by experimentally examining the acceptance of metaverse shopping.

This study conducts a 2 (VR: with vs. without) × 2 (AR: with vs. without) between-subjects laboratory experiment involving 157 participants in simulated daily shopping environments. This study builds a physical brick-and-mortar store at the campus and stocked it with approximately 600 products with accompanying product information and pricing. The XR devices and a 3D laser scanner were used in constructing the three XR shopping conditions.

Results indicate that XR can offer an experience comparable to, or even surpassing, traditional shopping in terms of its instrumental and hedonic aspects, regardless of a slightly reduced perception of usability. AR negatively affected perceived ease of use, while VR significantly increased perceived enjoyment. It is surprising that the lower perceived ease of use appeared to be disconnected from the attitude toward metaverse shopping.

This study provides important experimental evidence on the acceptance of XR shopping, and the finding that low perceived ease of use may not always be detrimental adds to the theory of technology adoption as a whole. Additionally, it provides an important reference point for future randomized controlled studies exploring the effects of technology on adoption.

The purpose of this paper is clearly illustrate this convergence and the prescriptive recommendations that such documents entail. There is a significant amount of research into the ethical consequences of artificial intelligence (AI). This is reflected by many outputs across academia, policy and the media. Many of these outputs aim to provide guidance to particular stakeholder groups. It has recently been shown that there is a large degree of convergence in terms of the principles upon which these guidance documents are based. Despite this convergence, it is not always clear how these principles are to be translated into practice.

In this paper, the authors move beyond the high-level ethical principles that are common across the AI ethics guidance literature and provide a description of the normative content that is covered by these principles. The outcome is a comprehensive compilation of normative requirements arising from existing guidance documents. This is not only required for a deeper theoretical understanding of AI ethics discussions but also for the creation of practical and implementable guidance for developers and users of AI.

In this paper, the authors therefore provide a detailed explanation of the normative implications of existing AI ethics guidelines but directed towards developers and organisational users of AI. The authors believe that the paper provides the most comprehensive account of ethical requirements in AI currently available, which is of interest not only to the research and policy communities engaged in the topic but also to the user communities that require guidance when developing or deploying AI systems.

The authors believe that they have managed to compile the most comprehensive document collecting existing guidance which can guide practical action but will hopefully also support the consolidation of the guidelines landscape. The authors’ findings should also be of academic interest and inspire philosophical research on the consistency and justification of the various normative statements that can be found in the literature.

This article discusses the consequences of unethical leadership, particularly, the leader-follower relationship in the delivery of agricultural advisory services in Tanzania. It analyses the means through which ethical leadership framework can be used to address the problem of unethical leadership in this context.

The article uses a comparative case study design to explain the position of ethical leadership in the delivery of agricultural advisory services in two local governments: Morogoro Municipality in Eastern Tanzania, and Hai District in Northern Tanzania.

The research shows that the delivery of agricultural extension services in Tanzania is guided by formal rules, which define the roles and responsibilities of local government officials and field workers. These roles and responsibilities are driven by national-level guidelines written by the Ministry of Agriculture. The guidelines define the key responsibilities of village, Ward and District level Agricultural Extension Officers. In developing the working schedule, agricultural extension workers at the village and ward levels are guided by an annual calendar that defines the seasons of the year and the relevant knowledge required by farmers. Nevertheless, the implementation of these schedules is compromised by a lack of resources and morale of field workers who in turn, cope through charging for the services, which is considered as their prime motives.

The findings can be of interest to national and local government policymakers and officials dealing with the delivery of agricultural advisory services in Tanzania.

This research analyzed the existing academic and grey literature concerning the technologies and practices of people analytics (PA), to understand how ethical considerations are being discussed by researchers, industry experts and practitioners, and to identify gaps, priorities and recommendations for ethical practice.

An iterative “scoping review” method was used to capture and synthesize relevant academic and grey literature. This is suited to emerging areas of innovation where formal research lags behind evidence from professional or technical sources.

Although the grey literature contains a growing stream of publications aimed at helping PA practitioners to “be ethical,” overall, research on ethical issues in PA is still at an early stage. Optimistic and technocentric perspectives dominate the PA discourse, although key themes seen in the wider literature on digital/data ethics are also evident. Risks and recommendations for PA projects concerned transparency and diverse stakeholder inclusion, respecting privacy rights, fair and proportionate use of data, fostering a systemic culture of ethical practice, delivering benefits for employees, including ethical outcomes in business models, ensuring legal compliance and using ethical charters.

This research adds to current debates over the future of work and employment in a digitized, algorithm-driven society.

The research provides an accessible summary of the risks, opportunities, trade-offs and regulatory issues for PA, as well as a framework for integrating ethical strategies and practices.

By using a scoping methodology to surface and analyze diverse literatures, this study fills a gap in existing knowledge on ethical aspects of PA. The findings can inform future academic research, organizations using or considering PA products, professional associations developing relevant guidelines and policymakers adapting regulations. It is also timely, given the increase in digital monitoring of employees working from home during the Covid-19 pandemic.

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 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.