ABSTRACT Launching a new digital platform business comes with a range of complex challenges: How to overcome the chicken‐or‐egg dilemma of simultaneously attracting value providers and consumers? How to create a unique customer experience, orchestrate value creation, reach and maintain a critical mass of users, and foster positive network effects? While various strategic guidelines address these business challenges individually, growing concerns about the ethical implications of platform power dynamics have highlighted the need for more holistic guidelines to pursue value‐oriented and responsible digital platform launch strategies. In response to that, this paper makes a novel contribution by proposing a canvas addressing the dual role of launching digital platform entrepreneurs as both designers and strategists. It builds on the principles of value‐sensitive design (VSD) and manifests the idea behind moral sandboxing within a practical canvas instrument, aiming to increase reflexivity in digital platform design processes. The canvas' applicability is consequently demonstrated through the illustrative analyses of two early‐stage digital platforms. All in all, this application‐oriented study enhances the discussion on VSD in the context of digital platform design from an emergent perspective combining information systems, business ethics and entrepreneurship research.

This review articles explores the critical role of cultural dimensions in designing ergonomic interventions within socio-technical systems (STS). Employing a systematic literature scan and thematic analysis, it synthesizes frameworks such as Human-Centered Design (HCD), Value Sensitive Design (VSD), and participatory co-design, highlighting their application in emerging technologies like AIoT, human-robot collaboration, and exoskeletons. The review underscores the significance of integrating gender and cultural considerations to enhance social inclusion and safety in diverse contexts. It further examines organizational culture's influence on safety practices and human factors in high-reliability industries, alongside ethical challenges posed by technology adoption, including privacy and digital trust. Through case studies on Industry 4.0/5.0 innovations, the review reveals tensions and opportunities in socio-technical transformations. Finally, it emphasizes inclusive design strategies promoting social sustainability and work inclusion, particularly for marginalized groups. The findings advocate for culturally attuned, ethically responsible ergonomic designs to advance socio-technical systems' resilience and inclusivity.

ABSTRACT Although a fundamental human right, access to justice remains a persistent predicament that disproportionately impacts the most vulnerable in society. The challenge is particularly evident in personal bankruptcy filings, where individuals often face financial despair and lack the resources needed to navigate the process. Digital innovation holds promise for improving access to justice. Our study focuses on Upsolve, a digital innovation that supports users in bankruptcy filing. Drawing on value sensitive design and the concept of technological mediations, our study traces values from those embedded in design features to the realisation of values through user experiences with a digital innovation, by theorising mediation mechanisms that explain the connections between values in design and use. The findings suggest that a designer’s purposive values involving safe and equitable access, simplification, empowerment, compassion, and autonomy led to a design that enables users to be in control of the process. User interactions with Upsolve’s innovation shape their perceptions of bankruptcy filing and help them complete the process, enabling the realisation of values of support, dignity, destigmatisation, hope, and life chances. The study contributes to the literature and offers insights into engaging with human values when designing digital innovations to improve access to justice.

Abstract As AI systems become increasingly accessible to adolescents seeking information about sexuality and relationships, understanding how these systems respond to such queries is critical. This study employed comparative document analysis to examine how ChatGPT 3.5 and Claude conceptualize and respond to nine open-ended questions about adolescent sexuality and romantic relationships. AI-generated responses were subjected to thematic content analysis by two independent coders, yielding seven major themes: factual information provision with deference to human expertise; articulation of ethical principles; acknowledgment of bias potential and mitigation efforts; commitment to gender diversity and inclusion; explicit boundary-setting regarding capabilities and limitations; recognition of multidisciplinary knowledge requirements; and self-positioning as complementary rather than primary resources. Comparative analysis revealed divergent design philosophies: ChatGPT emphasized communicative capabilities and empowering potential, while Claude repeatedly foregrounded limitations and the necessity of human oversight. Both models acknowledged biases in training data but provided limited operational detail about mitigation. Findings were interpreted through technological mediation theory, value-sensitive design, and comprehensive sexuality education frameworks, revealing that AI systems serve as active mediators of sexual knowledge rather than neutral information conduits. While AI can provide accessible factual information, significant limitations remain in emotional intelligence, contextual judgment, and authentic relational capacity. The study concludes that AI may serve as a complementary resource within comprehensive sexuality education ecosystems but requires intentional design, transparency, and governance structures that center youth rights and developmental needs. Implications for AI developers, educators, policymakers, and researchers are discussed.

ABSTRACT Value sensitive design (VSD) is a well-established approach used to integrate considerations of ethical, moral, and other values into the development of digital technologies and information systems. It is based on the plausible assumption that an early awareness of values can help shape the development and design of technologies in ways that will be conducive to the realisation of such values in the use of the technology in question. This article reflects on the current state of VSD and highlights the view of digital technologies as integral parts of broader digital ecosystems. It suggests that a more comprehensive integration of this ecosystem perspective can strengthen VSD. It proposes a framework for the integration of the ecosystems perspective that is based on critical systems heuristics. This framework can help the design of technologies within digital ecosystems, offering a crucial contribution to overcome a potential blind spot of current VSD approaches.

Blockchain technology offers secure, decentralized solutions for managing mental health records and identity verification; however, its ethical implications necessitate rigorous scrutiny. This paper evaluates four blockchain ethical design frameworks—Beeck Center’s Blockchain Ethical Design Framework, The Institute of Electrical and Electronics Engineers (IEEE) 7000 Value-Based Engineering Model Process, Value-Sensitive Design (VSD), and Ishmaev’s (2025) ethical risk analysis—with the National Association of Social Workers (NASW) and Louisiana State Board of Social Work Examiners (LABSWE) Rules, Standards, and Procudures by identifying and defining key ethical principles, analyzing their alignment, and exploring practical implications for trauma-informed, client-centered mental health practice. To foster and guide ethical blockchain integration, we must ensure alignment with social work values of dignity, equity, and autonomy.

An early step in designing information systems (IS) is eliciting design requirements. Traditionally, these requirements focus on product characteristics, such as desired functionalities. However, this technology-centered approach often neglects the broader context of IS design, which significantly influences project outcomes. While IS scholars emphasize the importance of context awareness, clear guidance on achieving it remains lacking-particularly for marginalized communities, where the context differs substantially from that of typically non-marginalized researchers and developers. Marginalized communities, such as the Deaf community, possess distinct cultural identities shaped by histories of discrimination and exclusion. Successfully conducting IS research and design in these contexts demands profound context awareness. We derive our argument for the importance of context awareness from the theory of Value Sensitive Design and the principles of sociotechnical design. We propose that context awareness is essential for the project to be perceived as legitimate by the marginalized community, which is crucial for the project's success. To help researchers become more context-aware, we present 42 design requirements resulting from a two-year iterative design science research project conducted in collaboration with the Deaf community. These design requirements encompass the research project, the IS design process, and the final product. This article contributes to the literature on inclusive IS design, Value Sensitive Design, and the development of assistive technologies.

Agriculture’s “4.0” transition increasingly relies on artificial intelligence (AI), IoT sensing, robotics, and decision-support. This review synthesizes Q1/Q2 scholarship, multilateral policy, and national AI strategies to assess how AI is changing farm stewardship and what guardrails align innovation with equity and sustainability. Methods combine a systematic literature review, comparative policy analysis (FAO, OECD, India’s #AIForAll, Rwanda AI Policy), NLP-assisted meta-synthesis of agri-AI discourse, theological analysis of stewardship texts (Gen. 1:26–28, Gen. 2:15), and case illustrations (precision irrigation, UAV spraying, mobile advisory). Results show AI improves resource-use efficiency and foresight (e.g., precision irrigation; targeted drone spraying) while introducing risks of dependency, opacity, and data-extractive business models. We propose a multi-level governance scaffold—farmer-centric data rights, explainability thresholds, context-appropriate human oversight, and compute-energy budgeting—mapped to Responsible Innovation (AIRR) and Value-Sensitive Design. We translate stewardship into measurable design constraints (e.g., water-withdrawal and biodiversity “red lines,” local-language interfaces, offline capability). Policy implications include numbered-style impact assessments, mandatory farmer representation on regional AI councils, and adoption equity metrics. Properly governed, AI can act as a tool of care for households, communities, and creation rather than a driver of technocratic consolidation.

ABSTRACT A long-standing assumption in health information technology research is that health empowerment comes at the expense of privacy, a trade-off that has shaped how Smart Health Monitoring Systems (SHMSs) are designed, adopted, and studied. Yet, this framing overlooks the growing need to design technologies that enable empowerment without eroding trust, obscuring how privacy and empowerment can be integrated rather than opposed. In this study, we challenge the trade-off model by conducting a value-reflexive examination of SHMS use, grounded in a Value Sensitive Design ontological perspective. We reconceptualise privacy not as a constraint but as an embedded dimension of autonomy, solidarity, and authenticity that constitute empowerment. Through a mixed-methods study of SHMS users, we show that privacy concerns vary by life stage and health context, and that privacy-preserving features can strengthen empowerment. Our findings advance a value-integrated model of SHMS adoption that embeds privacy as a constitutive element of empowerment.

The metaverse is poised to significantly transform how humans experience cyberspace, necessitating novel approaches to defining digital identity. Self-Sovereign Identity (SSI) has emerged as a potential solution for designing an identity layer for the metaverse, with proof-of-concept models for decentralized access currently under discussion among scholars and technologists. Adopting a socio-technical perspective, this paper examines the values that should underpin digital identity solutions for the metaverse. The analysis highlights control over identity and interoperability as fundamental components of any viable identity solution in this context. Using Value Sensitive Design as an analytical framework, the paper evaluates two proposals for applying SSI to the metaverse. While these proposals advocate for decentralized identification methods that facilitate cross-platform access, they also encounter challenges related to usability and achieving fully interoperable services across metaverse platforms.

ObjectiveThe Bridge2AI program is establishing rules of practice for creating ethically sourced health data repositories to support the effective use of ML/AI in biomedical and behavioral research. Given the initially undefined nature of ethically sourced data, this work concurrently developed definitions and guidelines alongside repository creation, grounded in a practical, operational framework.Materials and MethodsA Value Sensitive Design (VSD) approach was used to explore ethical tensions across stages of health data repository development. The conceptual investigation drew from supply chain management (SCM) processes to (1) identify actors who would interact with or be affected by the data repository use and outcomes; (2) determine what values to consider (ie, traceability accountability, security); and (3) analyze and document value trade-offs (ie, balancing risks of harm to improvements in healthcare). This SCM framework provides operational guidance for managing complex, multi-source data flows with embedded bias mitigation strategies.ResultsThis conceptual investigation identified the actors, values, and tensions that influence ethical sourcing when creating a health data repository. The SCM steps provide a scaffolding to support ethical sourcing across the pre-model stages of health data repository development. Ethical sourcing includes documenting data provenance, articulating expectations for experts, and practices for ensuring data privacy, equity, and public benefit. Challenges include risks of ethics washing and highlight the need for transparent, value-driven practices.DiscussionIntegrating VSD with SCM frameworks enables operationalization of ethical values, improving data integrity, mitigating biases, and enhancing trust. This approach highlights how foundational decisions influence repository quality and AI/ML system usability, addressing provenance, traceability, redundancy, and risk management central to ethical data sourcing.ConclusionTo create authentic, impactful health data repositories that serve public health goals, organizations must prioritize transparency, accountability, and operational frameworks like SCM that comprehensively address the complexities and risks inherent in data stewardship.

Quality financial performance is vital, reflecting an organization’s financial health and fund utilization efficiency. While corporate governance principles enhance financial outcomes, they remain focused on material benefits and stakeholder obligations, overlooking human relationships and divine accountability as part of worship toward Allah SWT. This study introduces Islamic Corporate Governance, emphasizing amanah financial responsibility to address these gaps. Adopting an explanatory research approach, it investigates the roles of Islamic Financial Literacy, Amanah Codes of Conduct, Amanah Open Access, Amanah Value-Sensitive Design, and their impacts on Quality Financial Performance. Data were collected from 35 Heads of Badan Pendapatan, Pengelolaan Keuangan dan Aset Daerah in Central Java via questionnaires and Google Forms and analyzed using SEM mediation techniques. Results reveal significant positive relationships among Islamic Financial Literacy, Amanah principles, and Quality Financial Performance, offering a novel conceptual framework to enhance accountability and financial health within an Islamic governance perspective.

Abstract This study highlights a value-led investigation into children’s (aged 9–18) views on decolonising museum experiences. The paper presents the challenges and opportunities associated with using a low-fidelity Augmented Reality authoring tool (User Experience Values Framing) to personalise museum experiences. The tool captures children’s values by employing a Value Sensitive Design approach, in addressing issues of representation, power imbalances, and cultural responsiveness in museum technologies. Through four empirical studies, the research examines the motivations behind visiting museums, value preferences, and the emergence of values amongst children. It sheds light on the effectiveness of involving children in the design process of an Augmented Reality authoring tool, highlighting their perspectives on decolonisation narratives and the desire for personalised and inclusive museum experiences. The studies highlight the importance of capturing and integrating values related to decolonisation into museum exhibition design, emphasising the needs and preferences of young audiences. Despite limitations, the insights gained offer valuable guidance for museums seeking to create more inclusive and equitable cultural exhibitions.

This paper addresses the need for ethical and effective use of synthetic image data in digital health computer vision. It explores the design requirements and design principles for both responsible use of artificial intelligence in digital health and model robustness, focusing on privacy, ethical compliance, and domain adaptation. Using the design science research paradigm along with value-sensitive design and sociotechnical systems theory, this study presents a design theory that provides actionable guidance for the generation, selection, and integration of synthetic data in digital health. Through heuristic theorizing over two design cycles, the work provides a robust theory artifact and conceptual model to ensure ethical use and improve model performance in digital health through appropriate domain adaptation, generalization, and accuracy. In addition to contributing to theoretical knowledge, this research offers practical implications for health authorities to promote ethical standards and performance in synthetically trained AI applications.

This study explores the impact of digital recommendation algorithms on environmental awareness, focusing on the dynamic interplay among perceived information relevance (PIR), algorithmic content exposure (ACE), and human–machine interaction (HMI). Utilizing the Elaboration Likelihood Model and Uses and Gratifications Theory, the study reconceptualizes awareness as a dynamic product of cognitive, technological, and behavioral dimensions in AI-mediated contexts. A quantitative survey (N = 385) stratified by platform behavior across Southeast Asia revealed that PIR has the strongest predictive value (β = 0.55), followed by ACE (β = 0.49). HMI functions as a key moderator (β = 0.57), suggesting that interactive engagement significantly strengthens cognitive assimilation of environmental content. These results suggest that AI platforms, when ethically designed, can serve as vehicles for ecological education. The findings call on platform engineers, sustainability advocates, and policymakers to implement value-sensitive design strategies, prioritize relevance-based content, and embed interactive features. Practical implications emphasize the role of value-sensitive design and interactive engagement in environmental communication. Limitations include reliance on self-report data and regional scope. Recognizing limitations in sampling and self-reported data, future research should employ longitudinal and behavioral methodologies to capture long-term attitudinal shifts. Overall, this study contributes to the integration of environmental psychology with algorithmic ethics by offering a robust, empirically grounded framework for digital ecological cognition.

This study explores how digital game designers perceive and use value-sensitive design (VSD) by employing a case study approach with freshman undergraduates in the Digital Game Design Department. They participated in the 14-week Narrative in Digital Games course and received 3 weeks of training on VSD in the course. We collected data using open-ended questionnaires, participants’ narratives, and focus group interviews, and then analyzed the data using content analysis techniques. In the study’s findings, the participants explained VSD using concepts such as ethics, personal and social values, human rights, and environmental awareness. According to the results obtained from participants’ VSD-based narrative design projects in the study, narrative design has significant potential for integrating many VSD principles into digital games. We expect the study's findings to raise understanding among digital game designers about VSD, thereby contributing to the development of games that embed these values in the digital gaming world.

This paper investigates the application of Security Threat Discovery Cards (STDCs) for identifying security risks in quantum sensing technologies within port security contexts. With the advent of quantum technologies, organizations and stakeholders face the challenge to explore and assess the impact of the applications these technologies will bring. This exploration faces the perceived incomprehensibility of quantum technologies, and suggests a preliminary step aimed at understanding these technologies. Our results suggest that organizations and companies considering the application of quantum technology can skip this preliminary step and independently identify their main risks of quantum applications in a nuanced manner. Our case is an exploration of quantum sensing application by Port security personnel with the STDCs. The research consisted of two independent empirical studies: a workshop with Port of Moerdijk personnel using STDCs and semi-structured interviews with security experts. The comparative analysis of the findings from these studies demonstrates the STDCs’ efficacy in revealing with the Port’s personnel assessment of nuanced risks beyond the experts’ foresight. For example, the interviews with experts raised concerns regarding governance, ethical implications, and the human factor in quantum technology integration. The workshop with personnel not only suggested similar concerns but also uncovered additional risks, including socio-technical threats and broader societal impacts.

The increasing integration of artificial intelligence (AI) in healthcare not only holds the potential for efficiency gains, personalized medicine, and evidence-based decisions but also raises ethical and social challenges, such as bias, lack of transparency, and acceptance. Participatory approaches that actively involve patients, physicians, caregivers, and other stakeholders in the development process make it possible to align technological innovations with actual needs and to design them in asocially just way.The analysis distinguishes between participation as active co-design and partaking as access to social resources. Theoretical models such as the "ladder of participation" (Arnstein) illustrate the different levels of participation. In addition, methodological approaches such as action research, community-based participatory research, ethics by design, and value-sensitive design are discussed, which promote early ethical reflection and continuous user feedback.Practical examples such as KIPA (AI-supported patient information), KIDELIR (delirium prevention in care), and PRIVETDIS (neurotechnologies and mental privacy) show how participatory research can contribute to the optimization of care concepts. In addition to opportunities such as increased acceptance and user-centered technology design, challenges are identified, including limited resources, lack of representativeness, and invisible additional burdens for those involved. Finally, it is emphasized that in addition to technical and regulatory measures, continuous ethical reflection and transparent communication are essential to implement trustworthy and effective AI systems in healthcare.

Abstract What values and goals should guide conceptual engineering projects? In this paper, we propose that insights from responsible design, specifically Value Sensitive Design (VSD), can enrich current approaches to conceptual ethics. Philosophers of technology have long employed VSD as a structured way to create technologies that address real‐world problems while accommodating stakeholder values. Meanwhile, conceptual engineers have focused on how best to revise, introduce, or eliminate concepts in response to theoretical or practical needs. By bringing these two literatures together, this paper offers a systematic, empirically informed way to assess and design concepts. The approach uses VSD‐inspired methods to identify and weigh stakeholder values, goals, and concerns. To illustrate how this works in practice, the paper examines the technologically disrupted concept “colleague.” When advanced technologies, like robots or chatbots, begin performing roles similar to those of human workers, can they be considered colleagues?

A robot with human values: assessing value-sensitive design in an agri-food context