Topic
Diffusion of innovations
About: Diffusion of innovations is a research topic. Over the lifetime, 2139 publications have been published within this topic receiving 191397 citations. The topic is also known as: diffusion of innovation & diffusion of innovations theory.
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TL;DR: In this paper, the diffusion of innovations used by firms themselves and those marketed to consumers are considered within a single framework based on the firm, represented by a general model which balances innovative and aggressive behavior, common to small firms, against the ability to bear the cost and risk of innovation adoption more common to large firms.
Abstract: The diffusion of innovations used by firms themselves and those marketed to consumers are considered within a single framework based on the firm. This framework is represented by a general model which balances innovative and aggressive behavior, common to small firms, against the ability to bear the cost and risk of innovation adoption more common to large firms. A similar model for city-size diffusion patterns, based on the fact that large cities are risk-minimizing locations, contrasts with traditional hierarchical models which assume that large cities are usually the sites of first adoption. Examples of two innovations in the American banking industry were analyzed to test the models. The results suggest that traditional strict size-ordered models for firms and urban systems are not always appropriate, especially for innovations by firms.
27 citations
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TL;DR: In this article, the authors present a framework for identifying systemic problems in innovation systems, which are the determinants of the development and diffusion of innovations, and provide a framework to identify systemic problems (or failures) in these systems.
Abstract: Activities’ in innovation systems are the determinants of the development and diffusion of innovations. Examples are RD it provides a framework for identification of systemic problems (or failures) in innovation systems.
27 citations
TL;DR: This study provides a first exploratory quantitative insight into stakeholder positions concerning innovation in health care, and presents a novel way to study differences in stakeholder preferences.
Abstract: Decisions to adopt a particular innovation may vary between stakeholders because individual stakeholders may disagree on the costs and benefits involved. This may translate to disagreement between stakeholders on priorities in the implementation process, possibly explaining the slow diffusion of innovations in health care. In this study, we explore the differences in stakeholder preferences for innovations, and quantify the difference in stakeholder priorities regarding costs and benefits. The decision support technique called the analytic hierarchy process was used to quantify the preferences of stakeholders for nine information technology (IT) innovations in hospital care. The selection of the innovations was based on a literature review and expert judgments. Decision criteria related to the costs and benefits of the innovations were defined. These criteria were improvement in efficiency, health gains, satisfaction with care process, and investments required. Stakeholders judged the importance of the decision criteria and subsequently prioritized the selected IT innovations according to their expectations of how well the innovations would perform for these decision criteria. The stakeholder groups (patients, nurses, physicians, managers, health care insurers, and policy makers) had different preference structures for the innovations selected. For instance, self-tests were one of the innovations most preferred by health care insurers and managers, owing to their expected positive impacts on efficiency and health gains. However, physicians, nurses and patients strongly doubted the health gains of self-tests, and accordingly ranked self-tests as the least-preferred innovation. The various stakeholder groups had different expectations of the value of the nine IT innovations. The differences are likely due to perceived stakeholder benefits of each innovation, and less to the costs to individual stakeholder groups. This study provides a first exploratory quantitative insight into stakeholder positions concerning innovation in health care, and presents a novel way to study differences in stakeholder preferences. The results may be taken into account by decision makers involved in the implementation of innovations.
27 citations
TL;DR: In this paper, the authors discuss the current areas of technology development and market research in a business environment and propose an integrated approach to bridge the gap between technology and people, in which people, rather than market sizes become central in the development of technology.
27 citations
TL;DR: The authors propose a revised model to help explain physicians' adoption of e-detailing, based on the theoretical foundations of technology adoption models and Rogers' work on diffusion of innovations.
Abstract: Electronic detailing (e-detailing) means using digital technology by pharmaceutical companies as a means of relaying information about pharmaceutical products to physicians. This study addresses the factors that could affect the decision of physicians to adopt e-detailing technology. Based on the theoretical foundations of technology adoption models, Rogers' work on diffusion of innovations could be useful to study physicians' adoption of e-detailing. The authors propose a revised model to help explain physicians' adoption of e-detailing.
27 citations