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The paper contributes to the discussion on valuation in organization studies and strategic management literature. The nascent literature on valuation practices has examined established markets where producers and consumers are known and rivalry in the market is a given. Furthermore, previous research has operated with a narrow meaning of value as either a financial profit or a subjective consumer preference. Such a narrow view on value is problematic and insufficient for studying the interlacing of innovation and value creation in emerging technoscientific business domains.

The authors present an empirical study about value creation in an emerging technoscience business domain formed around personalized medicine and digital health data.

The results of this analysis show that in a technoscientific domain, valuation of innovations is multiple and malleable, entails pursuing attractiveness in collaboration and partnerships and is performative, and due to emphatic future orientation, values are indefinite and promissory.

As research implications, this study shows that valuation practices in an emerging technoscience business domain focus on defining the potential economic value in the future and attracting partners as probable future beneficiaries. Commercial value upon innovation in an embryonic business milieu is created and situated in valuation practices that constitute the prospective market, the prevalent economic discourse, and rationale. This is in contrast to an established market, where valuation practices are determined at the intersection of customer preferences and competitive arenas where suppliers, producers, service providers and new entrants to the market present value propositions.

The study findings extend discussion on valuation from established business domains to emerging technoscience business domains which are in a “pre-competition” phase where suppliers, customers, producers and their collaborative and competitive relations are not yet established.

As managerial implications, this study provides insights into health innovation stakeholders, including stakeholders in the public, private and academic sectors, about the ecosystem dynamics in a technoscientific innovation. Such insight is useful in strategic decision-making about ecosystem strategy and ecosystem business model for value proposition, value creation and value capture in an emerging innovation domain characterized by collaborative and competitive relations among stakeholders. To business managers, the findings of this study about valuation practices are useful in strategic decision-making about ecosystem strategy and ecosystem business model for value proposition, value creation and value capture in an emerging innovation domain characterized by collaborative and competitive relations among stakeholders. To policy makers, this study provides an in-depth analysis of an overall business ecosystem in an emerging technoscience business that can be propelled to increase the financial investments in the field. As a policy implication, this study provides insights into the various dimensions of valuation in technoscience business to policy makers, who make governance decisions to guide and control the development of medical innovation using digital health data.

This study's results expand previous theorizing on valuation by showing that in technoscientific innovation all types of value created – scientific, clinical, social or economic – are predominantly promissory. This study complements the nascent theorizing on value creation and valuation practices of technoscientific innovation.

The purpose of this paper is to present the results of a study exploring the emerging field of data science from the library and information science (LIS) perspective.

Content analysis of research publications on data science was made of papers published in the Web of Science database to identify the main themes discussed in the publications from the LIS perspective.

A content analysis of 80 publications is presented. The articles belonged to the six broad categories: data science education and training; knowledge and skills of the data professional; the role of libraries and librarians in the data science movement; tools, techniques and applications of data science; data science from the knowledge management perspective; and data science from the perspective of health sciences. The category of tools, techniques and applications of data science was most addressed by the authors, followed by data science from the perspective of health sciences, data science education and training and knowledge and skills of the data professional. However, several publications fell into several categories because these topics were closely related.

Only publication recorded in the Web of Science database and with the term “data science” in the topic area were analyzed. Therefore, several relevant studies are not discussed in this paper that either were related to other keywords such as “e-science”, “e-research”, “data service”, “data curation”, “research data management” or “scientific data management” or were not present in the Web of Science database.

The paper provides the first exploration by content analysis of the field of data science from the perspective of the LIS.

Illustrates a case story detailing the customer‐vendor co‐operation in a project concerning the beta test of hardware and software at a radiology department. A qualitative analysis of the project has unveiled that contextual conditions like the nature of the technology, the organizational structure at both the customer and the vendor side, the development strategy, and the project organization were very important forces during the project. Technologically, the project was more complex than usually was seen at the hospital because it concerned both biomedical and administrative aspects. Conflicting interests in particular on the part of the customer side as well as between the customer and the vendor affected the course of the project. Methodologically, the project lacked a proper strategy for the co‐operative process. There was no formalized project organization which otherwise could have provided different conditions for the project.

The progress of initiatives concerned with implementing evaluated clinical research (such as evidence based medicine and clinical effectiveness) is dependent on the way individual health professionals actually acquire, use and value clinical knowledge in routine practice. The findings of two research projects, the Value and EVINCE projects, are compared with studies of the consolidation and application of clinical knowledge in clinical decision making. The Value project was concerned with the ways in which information from NHS libraries might be used in present and future clinical decision making. EVINCE was a similar impact study for nursing professionals. Both studies confirmed the importance of personal clinical knowledge. Health information services need to use a variety of strategies and knowledge management skills to ensure that the evaluated research evidence is assimilated and implemented into practice.

Economists have recognized knowledge management as a promising tool regarding all aspects of the economy, including health care. The volume of biomedical literature is currently growing at an exponential rate, and the vast number of studies makes it extremely difficult for researchers to keep up with new developments in their research areas. Therefore, the efficient management of huge amounts of data and the accuracy of the knowledge thus obtained are vital concerns. Electronic health (e-health) has emerged as a useful concept to provide data for solo self-care management. Although health care is a common topic on the internet, patients rarely share their health care-related knowledge on social media. This study aims to examine the impact of knowledge on e-health.

This paper complies with the methodological requirements of systematic literature reviews. The present paper has investigated the newest systems and studied their practical techniques in detail. The effects of knowledge on e-health have been categorized into major groups.

The outcomes indicate that the capabilities of information and communication technology certainly promote the exchange of knowledge within clinics. The results also show that institutional architectures have significant impacts on knowledge-sharing exercises, significantly improving patient safety.

These findings will be essential in the understanding of the interplay among various signals in theory and in the understanding of patients’ choice in the e-health community in practice. The results have implications for existing health management and e-health literature. The present paper will help policymakers, health-care executives and project managers to effectively set their operations and make them maintainable, prevent unpredicted obstacles and better allocate their resources. Overall, the results of this paper will guide researchers who are working in the field of e-health.

E-health attempts have mostly focused on answering questions using context-specific technical answers, regardless of the key role of knowledge resources. The present paper has provided an innovative viewpoint on how knowledge resources and knowledge-sharing initiatives may have a role in the innovative work behaviors shown by health-care employees. As noted before, there have been only a few studies regarding the effects of knowledge on health care, so the present paper contributes to the previous literature, particularly about e-health.

Gene term variation is a shortcoming in text‐mining applications based on biomedical literature‐based knowledge discovery. The purpose of this paper is to propose a technique for normalizing gene names in biomedical literature.

Under this proposal, the normalized forms can be characterized as a unique gene symbol, defined as the official symbol or normalized name. The unification method involves five stages: collection of the gene term, using the resources provided by the Entrez Gene database; encoding of gene‐naming terms in a table or binary matrix; design of a parametrized finite‐state graph (P‐FSG); automatic generation of a dictionary; and matching based on dictionary look‐up to transform the gene mentions into the corresponding unified form.

The findings show that the approach yields a high percentage of recall. Precision is only moderately high, basically due to ambiguity problems between gene‐naming terms and words and abbreviations in general English.

The major limitation of this study is that biomedical abstracts were analyzed instead of full‐text documents. The number of under‐normalization and over‐normalization errors is reduced considerably by limiting the realm of application to biomedical abstracts in a well‐defined domain.

The system can be used for practical tasks in biomedical literature mining. Normalized gene terms can be used as input to literature‐based gene clustering algorithms, for identifying hidden gene‐to‐disease, gene‐to‐gene and gene‐to‐literature relationships.

Few systems for gene term variation handling have been developed to date. The technique described performs gene name normalization by dictionary look‐up.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

One of the aspects that characterises neoliberal societies is the increasing attribution of individual responsibility. Citizens are required to commit themselves to adopting ‘appropriate’ lifestyles and to self-managing their health. Individual responsibility translates into a set of knowledge and techniques of self-governance, through which individuals learn and are expected to act in an increasingly autonomous way in order to prevent or mitigate health risks. This fostering of self-governance and individual responsibility affects both children and adults; in accordance with it, adults are required to transmit a sort of model of “pedagogy of responsibility” (Neyrand & Mekboul, 2014), through which children learn to acquire self-management of their health. This scenario becomes complicated if we take into consideration the two usual and contrasting representations of childhood in western societies: children as active subjects, or children as vulnerable subjects. Our work explores these contrasting representations through the narrations of adults and children of their experiences of Type 1 Diabetes.

In the USA, there has recently been an unprecedented convergence of complementary/alternative medicine (CAM) with mainstream biomedical care. This confluence may lead to a deeply rooted philosophical conflict. This qualitative study works to identify factors that health-care leaders can use, which will build a pathway to greater integrative practice between medical doctors and CAM practitioners – from parallel existence to partnership – by examining the tensions between biomedical medicine and naturopathic medicine. The purpose of this study is to offer short-term suggestions for partnership and long-term recommendations for better understanding.

An original qualitative study using semi-structured with CAM practitioners and biomedical practitioners.

Areas of conflict that are preventing synergy are identified and a pathway for health-care leaders to follow to create greater integration and partnerships is suggested.

This is a qualitative and exploratory study that has significant limitations on generalizability.

This study suggest steps that both types of health-care practitioners can take to increase their success at working together on an individual level, a group level, an organizational level and on an industry-wide basis, as well as provide a specific pathway to create greater integrative practice for health-care leaders.

The results indicate that stronger partnerships between different types of medical practitioners increase patient choice, patient satisfaction and outcomes.

Increasing interested in CAM modalities is driving more contact between CAM practitioners and biomedical practitioners. This contact is best established in partnership between practitioners rather than in parallel. This original research outlines the sources of conflict and provides recommendations for encouraging greater synergy.

The purpose of this paper is to raise issues about the design of personal health record systems (PHRs) and self-monitoring technology supporting self-care practices of an increasing number of individuals dealing with the management of a chronic disease in everyday life. It discusses the results of an ethnographic study exposing to analysis the intricacies and practicalities of managing diabetes “in the wild”. It then describe and discuss the patient-centric design of a diabetes journaling platform that followed the analysis.

The study includes ethnometodological investigation based on in depth interviews, observations in a support group for adults with type 1 diabetes, home visits, shadowing sessions and semi-structured interviews with a series of medical experts (endocrinologists, general practitioners and diabetes nurses). Findings informed the design of a proof-of-concept PHR called Tag-it-Yourself (TiY): a mobile journaling platform that enables the personalization of self-monitoring practices. The platform is thoroughly described along with an evaluation of its use with real users.

The investigation sheds light on a series of general characters of everyday chronic self-care practices, and how they ask to re-think some of the assumptions and connotations of the current medical model and the traditional sick role of the patient – often unreflectively assumed also in the design of personal technologies (e.g. PHR) to be used by patients in clinically un-controlled settings. In particular, the analysis discusses: the ubiquitous nature of diabetes that is better seen as a lifestyle, the key role of lay expertises and different forms of knowledge developed by the patient in dealing with a disease on a daily basis, and the need of more symmetrical interactions and collaborations with the medical experts.

Reported discussions suggest the need of a more holistic view of self-management of chronic disease in everyday life with more attention being paid on the perspective of the affected individuals. Findings have potential implications on the way PHR and systems to support self-management of chronic disease in everyday life are conceived and designed.

The paper suggests designers and policy makers to look at chronic disease not as a medical condition to be disciplined by a clinical perspective but rather as a complex life-style where the medical cannot be separated by other aspects of everyday life. Such shift in the perspective might suggest new forms of collaborations, new ways of creative evidence and new form of knowledge creation and validation in chronic self-care.

The paper suggests re-thinking the role of the patient in chronic-disease self-management. In particular, it suggests giving more room to the patient voice and concerns and suggest how these can enrich rather than complicate the generation of knowledge about self-care practices, at least in type 1 diabetes.

The paper sheds light on everyday intricacies and practicalities of dealing with a chronic disease. Studies of self-care practices that shed light on the patient perspectives are sporadic and often assume a clinical perspective, its assumptions (e.g. biomedical knowledge is the only one available to improve health outcome, doctors know best) and implications (e.g. compliance, asymmetry between the specialist and the patient).