Responsible Innovation Research Articles

Clinician voices on ethics of LLM integration in healthcare: a thematic analysis of ethical concerns and implications

ObjectivesThis study aimed to explain and categorize key ethical concerns about integrating large language models (LLMs) in healthcare, drawing particularly from the perspectives of clinicians in online discussions.Materials and methodsWe analyzed 3049 posts and comments extracted from a self-identified clinician subreddit using unsupervised machine learning via Latent Dirichlet Allocation and a structured qualitative analysis methodology.ResultsAnalysis uncovered 14 salient themes of ethical implications, which we further consolidated into 4 overarching domains reflecting ethical issues around various clinical applications of LLM in healthcare, LLM coding, algorithm, and data governance, LLM’s role in health equity and the distribution of public health services, and the relationship between users (human) and LLM systems (machine).DiscussionMapping themes to ethical frameworks in literature illustrated multifaceted issues covering transparent LLM decisions, fairness, privacy, access disparities, user experiences, and reliability.ConclusionThis study emphasizes the need for ongoing ethical review from stakeholders to ensure responsible innovation and advocates for tailored governance to enhance LLM use in healthcare, aiming to improve clinical outcomes ethically and effectively.

Responsible innovation for disruptive science and technology: The role of public trust and social expectations

As the world increasingly faces intersecting and complex environmental, social, and economic challenges, there are rising demands on emerging science and technology to produce innovative and potentially disruptive solutions. However, these solutions may also introduce different problems, uncertainties, and risks. Responsible innovation (RI) offers a way to identify and mitigate the social and ethical risks associated with new science and technology developments while delivering socially desirable and responsible outcomes. But how does the public view RI? In this paper, we argue that those undertaking disruptive science and technology research need a better understanding of the drivers of public trust in the research and innovation sector, and broader societal expectations of what constitutes socially responsible outcomes arising from their work. Few studies have explored if and how RI, trust, and social expectations are interrelated in the eyes of the public. This research investigates public perceptions of RI relevant to the development of novel and potentially disruptive science and technology, and their relationships with two key social outcomes: (1) public trust in the research and innovation sector; and (2) public expectations that innovative and potentially disruptive research can deliver socially responsible outcomes. Through surveying 4080 Australians, this research identifies how these four elements of RI – (i) practices of scientists, (ii) institutional compliance with research ethics, (iii) risk management effectiveness, and (iv) governance arrangements – are associated with public trust and expectations of socially responsible outcomes. Our best fitting path model showed that these elements of RI explain a large proportion of variability in trust in scientists and research institutions undertaking disruptive science, and most of the variability in public expectations that such research can deliver socially responsible outcomes. Of the four elements of RI, practices of scientists are most important for explaining trust in the research and innovation sector, and risk management effectiveness is most important for expectations of socially responsible outcomes from disruptive science and technology.

A systematic literature review on the network perspective and resource interaction: where are we now and where should we go?

PurposeThe study aims to advance the current state-of-the-art and identify the main theories, methodologies and research gaps. In this article, we examine the network perspective on resource interaction in management, systematically reviewing 92 published articles in peer-reviewed journals from 2013 to 2023.Design/methodology/approachThis systematic literature review is a methodical, transparent and replicable approach to choosing and evaluating scientific works. We have analyzed and combined all the available evidence, giving a comprehensive overview of the current state of the literature.FindingsThe subject is still under development in the literature, so there are still some research gaps, such as lack of information about markets and competitiveness. The main thematic groups we found included the firm’s social media, business performance, innovation in organizations, social media and big data, network analysis and artificial intelligence.Research limitations/implicationsIt is important to note that the subject is still under development in the literature, so there are still some research gaps, such as some lack of information about markets and competitiveness, the online presence of luxury brands and the impact of technology on their performance, which is not approached in the literature; some companies find it challenging to adopt new technologies; what level of technology and academic specialization is needed to measure performance; how to measure the level of credibility of information shared on the internet and the psychological impact of artificial intelligence on future generations and communication.Practical implicationsManagers can use this study to improve network strategies for better communication with diverse stakeholders and adopting new technologies, especially to enhance skills among older generations. Networks play a crucial role in fostering social capital among firms, facilitating knowledge management and improving the quality of processes. The resilience of business networks serves as a mediator between responsible innovation and a company's performance. Managers may consider expanding the use of networks to other areas of management to promote organizational collaboration and professional networking. Employees can also act as brand ambassadors for their organizations, helping to establish informal networks and increase visibility.Originality/valueAn integrative framework and a future research agenda are presented, with the potential to advance our understanding in this field.

Opening the ‘black box’ of national digital identity systems: another invisible border for Africans?

ABSTRACT Biometric digital identity systems have been promoted as a solution for Africa’s development challenges. By providing accurate and reliable identification of citizens, these systems are expected to enable better planning and resource allocation by states. However, this optimistic view overlooks the border logic embedded in the design and deployment of these systems. In this article, the author critically examines the assumptions and implications of biometric digital identity systems in Africa. By broadening the debate on the intersection of African ‘mobilities’, responsible innovation, and the deployment of biometric technology, the author attempt to pry open the ‘black box’ of national digital identity systems and contends that the diffusion of these systems in Africa is driven more by the Global North’s border interests than by the local populations’ development needs.

IJSIE ABSTRACTS

The International Journal of Studies in Inclusive Education (IJSIE) is a double-blinded, peer-reviewed, fully open-access journal providing an advanced platform and opportunities for inclusive education-related research outputs. The Editorial Board welcomes empirical, conceptual, academic, and theoretical articles critically analysed and interpreted in all its holistic approach to inclusive education: inclusive education, learning barriers, learners, or students with special needs, etc. The scholarly articles must be prepared, treated, and interpreted with the same academic rigor expected of academic research. The IJSIE aims to provide an interdisciplinary forum for scholars, publishing professionals, librarians, and others to communicate original research that addresses current issues informed by the best practices. Scholarly publishing has only recently begun to exploit the full potential of networked digital technologies, which affects the broader process of research communication, including public access to and engagement with research. Influential trends towards responsible research and innovation, the globalisation of research, the emergence and inclusion of new or previously excluded stakeholders, and the advent of open science are reshaping scholarly publishing's scope and nature. The social, legal, and ethical dimensions of publications continue to co-evolve with these changes. Publications aim to provide an interdisciplinary forum for scholars, publishing professionals, librarians, and others to communicate original empirical and theoretical research on these and related topics to address current issues and inform best practices.

Studying the role of corporate social responsibility, green HRM and green innovation to improve green performance of SMEs

Studying the role of corporate social responsibility, green HRM and green innovation to improve green performance of SMEs

Financial management, efficiency, and care quality: A systematic review in the context of Health 4.0.

This article investigates the intersection between innovation, Health 4.0, and financial management in the healthcare industry, emphasizing the importance of operational efficiency and quality of care. The study aims to analyze how financial management processes in healthcare relate to Health 4.0 and enhance care quality. It begins with a thorough theoretical grounding, proposing a framework that connects Health 4.0 with financial management practices. A systematic review of the literature was conducted, identifying trends, challenges, and opportunities in the financial management of Health 4.0. The results highlight selected articles on responsible innovation, Health 4.0 technologies, investments in health, hospital efficiency, performance forecasting, and high-cost patient management. These articles were clustered into "Data Analysis and Machine Learning in Healthcare" and "Health Management and Sustainability," providing a categorized understanding of the topics. The study reveals that Health 4.0 offers significant opportunities for process efficiency and cost reduction without compromising service quality. It highlights strategic advantages in addressing contemporary healthcare challenges by optimizing processes, improving financial projections, and incorporating advanced technologies efficiently. The successful implementation of Health 4.0 can lead to substantial improvements in service quality, adding value to patients and driving local economic development. This article offers valuable insights for healthcare professionals and managers, emphasizing the transformative potential of Health 4.0 and outlining strategies for its effective implementation. The clustering of articles provides a clearer understanding of current research in Health 4.0, contributing significantly to the field and guiding future research directions.

Responsible development of digital livestock technologies for agricultural challenges: Purpose, practicality and effects are key considerations

AbstractDigital livestock technologies (DLTs) are presented as solutions to grand challenges in post‐Brexit British agricultural policy, such as climate change and food security. Evidence suggests technological solutions to agricultural challenges will be more effective with stakeholder and public engagement, yet there is little known about stakeholder views on these emerging technologies. We drew on responsible research and innovation, to analyse stakeholder perspectives on three case studies of DLT development through anticipatory focus groups with expert stakeholders in British animal agriculture. We found that stakeholders from broadly agroecological approaches to farming are at risk of exclusion from DLT development and policy, with negative implications for the ability of DLTs to resolve grand challenges in animal agriculture. We propose a heuristic framework of purpose, practicality and effects as key considerations for inclusive and responsible DLT development that contributes to ensuring effective solutions to grand challenges while avoiding wasted investments.

Global strategies for disruptive technology protection and regulation: evidence from policy textual analysis

ABSTRACT Disruptive technology (DT) has the power to reshape markets and societal structures, necessitating both protection and regulation. This paper aims to examine DT protection and regulation strategies at both micro and macro levels through policy texts. We construct an analysis framework integrating Responsible Research and Innovation (RRI) principles, innovation theory, and DT growth process. Key measures are extracted by content analysis, and dynamic topic model is used to discover evolving policy focuses. The framework is applied to analyze DT policy files of major powers. The results indicate that supply-side policy tools are employed to promote sustainable development in DT innovation, while environmental tools are utilised for early governance to preempt potential risks and innovation damage. The focuses of DT policies exhibit three evolution trends: attenuation, reinforcement, and fluctuation. Protective policies show concentration and coherence, while regulatory policies demonstrate integration and correlation. This study broadens existing perspectives and analytical frameworks, providing valuable insights for DT development and governance.

Synthetic Biology of Natural Products Engineering: Recent Advances Across the Discover-Design-Build-Test-Learn Cycle.

Advances in genome engineering and associated technologies have reinvigorated natural products research. Here we highlight the latest developments in the field across the discover-design-build-test-learn cycle of bioengineering, from recent progress in computational tools for AI-supported genome mining, enzyme and pathway engineering, and compound identification to novel host systems and new techniques for improving production levels, and place these trends in the context of responsible research and innovation, emphasizing the importance of anticipatory analysis at the early stages of process development.

Ethical, Legal, and Social Implications of Nanotechnology: Navigating the Challenges of Responsible Innovation

Ethical, Legal, and Social Implications of Nanotechnology: Navigating the Challenges of Responsible Innovation

Applying the analytic hierarchy process for investigating key indicators of responsible innovation in the Taiwan software service industry

This study explores the critical factors of responsible innovation in the Taiwan software service industry. Based on a literature review, four main dimensions have been identified as the key factors, namely, financial capital, capabilities, social capital, and reputational assets. A hierarchical structure is constructed using these factors, and the Analytic Hierarchy Process (AHP) method is used to confirm the importance of factor weights. Questionnaires were distributed to various software companies and respondents from 35 companies. Analysis results indicate that reputational assets are highly valued, followed by social capital. The software server industry prioritizes these two indicators for responsible innovation development. Results highlight the importance of responsible innovation, assisting companies in understanding its significance and formulating strategies to enhance innovation capabilities, corporate governance, and alignment with environment and market trends. This study contributes to the evolving field of innovation management and offers valuable references for software service companies.

Digital transformation as a catalyst for green innovation: An Examination of high-tech enterprises in China's Yangtze River Delta

Green innovation represents a foundational strategy for companies aiming for sustainable and superior growth. In the digital economy landscape, rapid advancements in digital technologies provide enterprises with renewed momentum for progression. Nevertheless, there is scant empirical evidence supporting its efficacy in enhancing environmentally responsible corporate innovation. In the present study, utilising the resource-based view, data were gathered from 571 high-tech firms in China's Yangtze River Delta via surveys. Through hierarchical regression analysis, the interaction between digital transformation and green innovation was examined, taking into account the moderating effect of market-driven environmental pressures. The results indicate that digital transformation substantially promotes green innovation, and this relationship is further positively affected by the presence of market-driven environmental pressures. The present research contributes to the enhancement of green innovation theories and broadens the scope of digitalization research, providing valuable insights for advancing a green, low-carbon circular economy in the digital context.

Ethical risks in robot health education: A qualitative study.

As health education robots may potentially become a significant support force in nursing practice in the future, it is imperative to adhere to the European Union's concept of "Responsible Research and Innovation" (RRI) and deeply reflect on the ethical risks hidden in the process of intelligent robotic health education. This study explores the perceptions of professional nursing professionals regarding the potential ethical risks associated with the clinical practice of intelligent robotic health education. This study adopts a descriptive phenomenological approach, employing Colaizzi's seven-step method for data analysis. We conducted semi-structured interviews with 17 nursing professionals from tertiary comprehensive hospitals in China. This study has been approved by the Ethics Committee of the Second Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Provincial Second Chinese Medicine Hospital. Nursing personnel, adhering to the principles of RRI and the concept of "person-centered" care, have critically reflected on the potential ethical risks inherent in robotic health education. This reflection has primarily identified six themes: (a) threats to human dignity, (b) concerns about patient safety, (c) apprehensions about privacy disclosure, (d) worries about implicit burdens, (e) concerns about responsibility attribution, and (f) expectations for social support. This study focuses on health education robots, which are perceived to have minimal ethical risks, and provides rich and detailed insights into the ethical risks associated with robotic health education. Even seemingly safe health education robots elicit significant concerns among professionals regarding their safety and ethics in clinical practice. As we move forward, it is essential to remain attentive to the potential negative impacts of robots and actively address them.

Embedding responsible innovation into R&D practices: A case study of socially assistive robot development

The Responsible Innovation (RI) approach aims to transform research and development (R&D) into being more anticipatory, inclusive, reflective, and responsive. This study highlights the challenges of embedding RI in R&D practices. We fostered collective learning on RI in a socially assistive robot development project through applying participatory action research (PAR). In the PAR, we employed a mixed-methods approach, combining interviews, workshops, and online questionnaires, to collectively explore opportunities for RI, and elicit team member perceptions, opinions, and beliefs about RI. Our PAR led to some modest yet purposeful, deliberate efforts to address particular concerns regarding, for instance, privacy, control, and energy consumption. However, we also found that the embedding of RI in R&D practices can be hampered by four partly interrelated barriers: lack of an action perspective, the noncommittal nature of RI, the misconception that co-design equals RI, and limited integration between different R&D task groups. In this paper, we discuss the implications of these barriers for R&D teams and funding bodies, and we recommend PAR as a solution to address these barriers.

Artificial intelligence adversity event, inter-organisational trust, and firm resilience: the moderating effect of responsible innovation

ABSTRACT Research on the impact mechanism of the adverse event set of artificial intelligence (AI) on firm resilience (FR) is still limited. This study explores the relationship between the intensity of AI adversity events (AIEI), inter-organisational trust (IOT), and firm resilience in 217 Chinese emerging AI-related firms. We find that greater AIEI negatively impacts FR. Additionally, IOT partially mediates the connection between AIEI and FR. Notably, responsible innovation (RI) significantly moderates this relationship. These findings enhance our understanding of how the application risks of emerging technologies, like AI, impact FR.

The impact of corporate social responsibility on green innovation: do industry, data type and region matter? a meta-analysis research

AbstractThis study aims to explore the relationship between corporate social responsibility (CSR) and green innovation due to the fragmented and inconsistent findings in previous research. To achieve this, a meta-analysis is conducted on 29 peer-reviewed articles. The aim is to unravel the overall relationship between CSR and green innovation and identify potential factors that may influence this relationship, such as industry, data type, and region. The author’s results concluded that the robust relationship between CSR and green innovation remains consistent and strong, whether in manufacturing or other industries. Moreover, the outcomes indicate that research based on primary data demonstrates a more robust relationship between CSR and green innovation than secondary data studies. The findings also bring attention to regional differences in the relationship between CSR and green innovation, with studies conducted in North America displaying the most notable influence. This study represents the first-ever comprehensive meta-analytic investigation into the relationship between CSR and green innovation.

Examining funders’ roles in responsible research and innovation of medical neurotechnology

ABSTRACT Advances in medical neurotechnology (MNT) have the potential to improve the evaluation and management of conditions of the nervous system. Meanwhile, increasing concern over ethical questions and risks posed by these technologies has prompted various institutional initiatives to examine ethical aspects of their design, development, and deployment. Funding by public agencies, foundations, and private investors plays a fundamental role in driving MNT research and development (R&D). As such, the perspectives and approaches of funders can be central in instilling and shaping the values embedded in MNTs. Responsible development and oversight of MNT requires funders to proactively prioritize the integration of ethical values in MNT. We propose a multiphase design and development process involving discrete institutional norms and organizational practices and explore how this process can enhance the funder role to address ethical challenges and promote values integration in R&D.

Responsible Innovation In the Wild: Institutionalising Responsibility in Digital Innovation

Responsible Innovation In the Wild: Institutionalising Responsibility in Digital Innovation

Responsible Innovation in Digital Health and Welfare: A Longitudinal Study of Start-Up Governance and Stakeholder Engagement

Responsible Innovation in Digital Health and Welfare: A Longitudinal Study of Start-Up Governance and Stakeholder Engagement