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The purpose of this paper is to make the case that ethical guardrails in emerging technology businesses are inadequate and to develop solutions to strengthen these guardrails.

Based on literature and first principles reasoning, the paper develops theoretical arguments about the fundamental purpose of ethical guardrails and how they evolve and then uses this along with the characteristics that distinguish emerging technology businesses to identify inadequacies in the ethical guardrails for emerging technology businesses and develop solutions to strengthen the guardrails.

The paper shows that the ethical guardrails for emerging technology businesses are inadequate and that the reasons for this are systematic. The paper also develops actionable recommendations to strengthen these guardrails.

The paper develops the novel argument that reasons for the inadequate ethical guardrails in emerging technology businesses are systematic and stem from the inadequacy of laws and regulations, inadequacy of boards and the focus of business executives.

This study aims to evaluate a method of building a biomedical knowledge graph (KG).

This research first constructs a COVID-19 KG on the COVID-19 Open Research Data Set, covering information over six categories (i.e. disease, drug, gene, species, therapy and symptom). The construction used open-source tools to extract entities, relations and triples. Then, the COVID-19 KG is evaluated on three data-quality dimensions: correctness, relatedness and comprehensiveness, using a semiautomatic approach. Finally, this study assesses the application of the KG by building a question answering (Q&A) system. Five queries regarding COVID-19 genomes, symptoms, transmissions and therapeutics were submitted to the system and the results were analyzed.

With current extraction tools, the quality of the KG is moderate and difficult to improve, unless more efforts are made to improve the tools for entity extraction, relation extraction and others. This study finds that comprehensiveness and relatedness positively correlate with the data size. Furthermore, the results indicate the performances of the Q&A systems built on the larger-scale KGs are better than the smaller ones for most queries, proving the importance of relatedness and comprehensiveness to ensure the usefulness of the KG.

The KG construction process, data-quality-based and application-based evaluations discussed in this paper provide valuable references for KG researchers and practitioners to build high-quality domain-specific knowledge discovery systems.

Medicine prices are increasing globally, including in Malaysia where previous studies show prices higher than international averages. Patient Access Scheme (PAS) is a mechanism adopted by Malaysia in 2018 to facilitate access to expensive medicines, similarly used by Italy since 2005. This study aims to compare the implementation of PAS in Malaysia and Italy.

This review systematically searched for peer-reviewed articles in PubMed, Scopus and ScienceDirect on how Italy implemented PAS system from 2012 to 2022 using the related keywords. The systematic review is reported according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

The search identified 363 articles. A total of eight studies were included. Most of the studies found that PAS is able to control the expenditure on expensive drugs. PAS has also had several challenges, such as high administrative burden, high upfront cost and the need for good data infrastructure.

This study’s unique focus on Italy’s adoption of managed entry agreements (MEA) can provide valuable insights for Malaysia’s pricing mechanisms and access to expensive drugs. Notably, this research addresses a gap in the literature regarding the practical implications of MEA implementation in developing countries. The findings have the potential to improve access to essential medicines for Malaysian citizens while offering a fresh perspective on MEA utilization in emerging markets.

Biotech companies stand as key actors in pharmaceutical innovation. The high risk and long timelines inherent with their R&D investments might hinder their access to funding, potentially stifling innovation. This study aims to explore into the appeal of biotech companies to capital market investors, whose financial backing could bolster the growth of the biotechnology sector.

This paper uses a dataset of 774 US publicly listed biotech firms to investigate their risk and return characteristics by comparing them to pharmaceutical firms and a sample of matched non-biotech R&D-intensive firms over the sample period 1980–2021. Tests show that the conclusions remain consistent across diverse methodological approaches.

The paper shows that biotech companies are riskier than the average firm in the market index but outperform on a risk-adjusted basis both the market and a matched group of R&D-intensive firms. This is particularly true for large capitalization biotech, which is also shown to provide a diversification benefit by reducing the downside risk in past crisis periods.

This paper provides insight relevant to the current debate about the overall performance of the biotech industry in terms of policy changes and their impact on small, early-stage biotech firms. While small and early-stage biotech firms are playing an increasing role in scientific innovation, this study confirms their greater vulnerability to financial risks and the importance of access to capital markets in enabling those companies to survive and evolve into larger biotech.

Genetics, a discipline of biology, is one of the most recent and rapidly advancing disciplines in science. This study aims to present a bibliometric analysis of the genetics research output of Iranian authors, map the intellectual structure of these studies and investigate the development path of this literature and the interrelationships among the main topics.

This study searched the Web of Science database for documentation of Iranian-published genetics research published up to 2020. Further, this study used HistCite software to profile and analyze the most cited articles and references and to draw their historiographies.

A database search revealed 21,329 documents that created the study population. The highest cited publications based on the Global Citation Score (GCS) and Local Citation Score (LCS) achieved scores of 602 and 47, respectively. The publication growth rate study demonstrated consistent expansion over time. The scientific maps based on LCS and GCS had five and four clusters, respectively. Furthermore, journal articles emerged as the predominant type of publication.

The significance of this study is in its contribution to understanding the genetics research position in Iran, informing policymakers and researchers, helping scientific collaboration and its impact on public attitudes and quality of life. The results of the present study, with benefits for various groups of communities, such as policymakers, academic groups and public society, can bridge the gap between theoretical research and practical implications.

The results of this study, by helping future advancement in health care, medical genetics and disease prevention, may have a direct and indirect positive influence on the quality of life. Furthermore, it may lead to more informed discussions on health care and biotechnology as well as influencing public attitudes and perceptions.

Ultimately, this study concludes that despite the proliferation of publications in terms of quantity and complexity, especially in areas such as disease diagnosis, prevention and treatment, there remains a need for more attention to other facets of genetics such as biology and biotechnology. Iranian publications are most related to population genetics, human genetics, molecular genetics, medical genetics, genomics, developmental genetics and evolutionary genetics out of 10 branches of genetics. This study reveals patterns in scientific outputs and authorship collaborations and plays an alternative and innovative role in revealing Iranian research trends in genetics.

To understand how parents make the decision to implant their deaf young children with cochlear implants, focusing specifically on the concepts of normality, medicalization, and stigma.

I conducted 33 semi-structured interviews with the hearing parents or parent of children with cochlear implants. In all but two families I interviewed the primary caretaker which in all cases was a mother. In the remaining two interviews, I interviewed both parents together. Because of the relative scarcity of families with children with cochlear implants, and the difficulty in connecting with these families, I used a convenience sample, and I did not stratify it in any way. The only requirement for parents to be interviewed is that they had at least one deaf child who had been implanted with at least one cochlear implant. Although this is a small sample, the findings are transferable to other families with the same sociodemographic characteristics as those in my study.

Parents in the study focused on three key concepts: normality, risk analysis, and being a good parent. Dispositional factors such as the need to be “normal” and the desire for material success for one's children appeared to moderate the cost-benefit calculus.

This interview project concentrated on hearing families who had implanted their deaf children with cochlear implants; it does not include culturally Deaf parents who choose to use American Sign Language (ASL) with their Deaf children. Understanding how Deaf families understand the concepts of normality, medicalization, and stigma would shed light on how a distinctly “abnormal” group (by a statistical conception of normal) – ASL-using Deaf people-explain normality in the face of using a non-typical communication method. One can learn a lot by studying the absence of a phenomena, in this case, not implanting children with cochlear implants. It is possible that the existential threat felt by some Deaf people, specifically the demographic problem presented by cochlear implants, led Deaf educators or parents to resist being the subject of research.

Overwhelmingly the sample was female, and white. Only two participants were male, and none of the participants were non-white. The lack of diversity in the sample does not necessarily reflect a lack of diversity of children receiving cochlear implants. Medicaid, which disproportionately covers families of color, covers cochlear implants in most cases, so low SES/racial intersectionality should not have affected the lack of diversity in the sample. However, the oral schools are all private pay, with few scholarships available, so low SES/racial intersectionality in the sampling universe (all children who attend oral schools), may have played a part in the lack of racial diversity within the sample.

Parents in this study were very specific about the fact that they believed cochlear implants would lead to academic, professional, and personal success. They weaved narratives of normality, medicalization, and stigma through their stories. Normality is an important lens from which to see stories about disability and ability, as well as medical correction. As medical science continues to advance, more and more conditions will become medicalized, leading to more and more people taking advanced medical treatments to address problems that were previously considered “problems with living” that are now considered “medical problems” that can be treated with advanced science.

This chapter's contribution to the sociological cochlear implant literature is it's weaving of narratives about normality, stigma, and medicalization into parental stories about the cochlear implant decision-making process. Most literature about the cochlear implant decision-making process focus on cost-benefit analysis, and logical decision-making processes, whereas this paper focuses on decision-making factors stemming from bias, emotions, and values.

This article of exploratory research provides a critical perspective on accountability, focusing on three characteristics: transparency, asymmetry and individual agency. An experimental method is developed, calling for an ethics of accountability.

Four entrepreneurs have given accounts of themselves and their projects in life cycle interviews. This article applies Devereux's approach (1967), which allows for opacity (the “unconscious”) to oneself and to others with symmetry between analysts and analysed, and a lack of demarcation between the observer and the observed.

A tragic entrepreneurial accountability trap of continuous self-justification was discovered, which pertains both to the entrepreneurs and the researchers. Nonetheless, the researchers as inspired by Devereux's method were able to realize a form of accounterability.

This article shows that the demands for transparent, asymmetrical and agentive accountability call for ethical reflection. The request for accounts, as resulting in the accounts given and the research conducted into accountability, are all sources of constraints. Differing the accountability situation may lessen the constraints.

This study introduces Devereux's method as an investigative tool in accountability research, opening up new perspectives on communication and analysis. This article shows the researcher as situated both inside and outside of the accountability mechanisms. This article explores a singular form of accountability; that of entrepreneurs who seemingly only account for the future, thereby disconnecting them from others.

Technological progress and the advancement of the 4th Industrial Revolution (IR 4.0) are well underway. However, its influence on the transformation of core sectors from the perspective of consumer well-being remains under-explored. Seeking to bridge this gap in the marketing and public policy literature, this study aims to propose a conceptual framework to explicate how data-driven, intelligent and connected IR 4.0 technologies are blurring traditional boundaries between digital, physical and biological domains.

This is a conceptual paper using primarily a literature review of the field. The authors position the work as a contribution to consumer well-being and public policy literature from the lens of increasingly important in our technology-integrated society emerging technologies.

The authors define and conceptualize technology-enabled well-being (TEW), which allows a better understanding of transformative outcomes of IR 4.0 on three essential dimensions of consumer well-being: individual, societal and environmental. Finally, the authors discuss public policy implications and outline future research directions.

The authors highlight specific gaps in the literature on IR 4.0. First, past studies in consumer well-being did not incorporate substantial changes that emerging IR 4.0 technologies bring, especially across increasingly blurring digital, physical and biological domains. Second, past research focused on individual technologies and individual well-being. What is unaccounted for is the potential for a synergetic, proactive effect that emerging technologies bring on the aggregate level not only to individuals but also to society and the environment. Finally, understanding the differences between responses to different outcomes of technologies has important implications for developing public policy. Synergetic, proactive effect of technologies on core sectors such as healthcare, education, financial services, manufacturing and retailing is noted.