Abstract The successful introduction of new durable products plays an important part in helping companies to stay ahead of their competitors. Decisions relating to these products can be improved by the availability of reliable pre-launch forecasts of their adoption time series.
Eric W Ford moc. Originally published in the Journal of Medical Internet Research http: This is an open-access article distributed under the terms of the Creative Commons Attribution License http: The complete bibliographic information, a link to the original publication on http: This article has been cited by other articles in PMC.
Abstract Background Personal health records PHRs offer a tremendous opportunity to generate consumer support in pursing the triple aim of reducing costs, increasing access, and improving care quality.
Moreover, surveys in the United States indicate that consumers want Web-based access to their medical records. Objective The purpose of our study was 3-fold: Applying technology diffusion theory and Bass modeling, we evaluated 3 future PHR adoption scenarios by varying the introduction dates.
Results All models displayed the characteristic diffusion S-curve indicating that the PHR technology is likely to achieve significant market penetration ahead of meaningful use goals. Therefore, the meaningful use program targets for PHR adoption are below the rates likely to occur without an intervention.
Conclusions The promise of improved care quality and cost savings through better consumer engagement prompted the US Institute of Medicine to call for universal PHR adoption in The PHR products available as of are likely to meet and exceed meaningful use stage 3 targets before without any incentive.
Therefore, more ambitious uptake and functionality availability should be incorporated into future goals. The program has been successful in Forecasting adoption of e books EHR adoption rates at least in the short term by applying exogenous incentives to a market that had otherwise been stalled.
In a report by the National Research Council National Academies of Sciences, Engineering, and Medicine of the United States released ina task force of informatics scientists noted that, for computational technology to be effective in health care improvement, it must provide functionality and cognitive support that is of value to providers, patients, and their caregivers [ 4 ].
Stage 2 of the MU incentive program requires the active engagement of patients and their families with patient portal technologies in managing their own health information and care coordination [ 5 - 7 ].
Taken together, these requirements outline the basic functionalities of a consumer-managed personal health record PHR [ 8 ].
PHRs offer a tremendous opportunity to generate consumer support in pursuing the triple aim of reducing costs, improving health outcomes for populations, and improving the experience of care for patients and their families [ 9 - 13 ].
Moreover, surveys have indicated that consumers want Web-based access to their medical records [ 1415 ]. Nevertheless, diffusion of full patient access to their EHR-tethered portal or personally controlled PHR has been slow historically.
These concerns notwithstanding, a set of converging trends may be pushing consumer access to PHR functionality toward a patient-driven health information economy.
Nearly two-thirds of the American public own mobile phones and have become accustomed to interactive services related to personal data in other facets of their lives. For these reasons, there is an emerging need for more research into consumer engagement [ 914 ].
Given the current state of consumer usage levels, and observations associated with the diffusion of innovations in other settings, it should be possible to forecast PHR adoption uptake and explore how imitation and innovation factors are influencing the pattern. The purpose of our study was to estimate the future uptake of PHR functionalities among the US population.
We also used the data to forecast the future adoption of these PHR apps. Understanding the trajectory of PHR uptake by consumers is important for policy makers, providers, and technology vendors.
For policy makers, setting PHR usage targets based on quantified estimates rather than normative goals will ensure that targets are set at optimal levels to accelerate uptake, but not be unachievable. The provider community has been resistant to health information sharing.
Having evidence that consumers are not only willing, but also able, to effectively use such tools may lower this resistance. In addition, having an active and growing market for PHR technologies should spur health information technology vendors to invest in research and development to take advantage of this burgeoning market.
A calculated variable based on survey responses to 2 questions measured PHR functionality: Data were weighted according to specifications provided by the National Cancer Institute to make the data representative of the United States overall.
A ‘First Principles’ view of New Product Forecasting If all else fails! ESD Lecture - September 20, 6 Any product that is, a cost improvement (reduced cost or price versions of the product for the existing market) a product improvement (new, improved versions of existing. The Forecasting Principles site summarizes all useful knowledge about forecasting so that it can be used by researchers, practitioners, and educators. The site is devoted to improving decision making by furthering scientific forecasting. Provides data for forecasting the adoption of electronic books. Students are encouraged to use the Bass Model framework, while being cognizant of its limitations. Year of the event. Number of pages. 4. Keywords.
Adoption rates were calculated for use in the Bass model analysis. Subsequently, Bass [ 20 ] developed the first commercial applications of such diffusion models, predicting the uptake of consumer products based on the influence of various types of advertising campaigns and motivations internal to the customer.
The Bass model predicts how many customers will eventually adopt a new product, and when they will do so, based on early market penetration rates.Forecasting long-term adoption of CAV technologies is a fairly new topic.
Existing literature has only a few such forecasting studies by academic researchers, with most studies conducted by consulting firms, investment banks, and other private enterprises. Forecasting the Adoption of E-Books Case Solution,Forecasting the Adoption of E-Books Case Analysis, Forecasting the Adoption of E-Books Case Study Solution, Gives students the opportunity to understand the challenges inherent in forecasting the diffusion of .
Marriott Rooms Forecasting case study solution, Marriott Rooms Forecasting case study analysis, Subjects Covered Decision theory Forecasting Quantitative analysis Service management Women in business by Samuel E Bodily Source: Darden School of Busines.
Technological developments and governments’ understanding of what citizens need usually determine the design of public online services. For successful implementation of e-Government services, governments have to place the user in the center of future developments, understand what citizens need and measure what increases citizens’ willingness to adopt e-government services.
Forecasting the Adoption of E-Books case analysis, Forecasting the Adoption of E-Books case study solution, Forecasting the Adoption of E-Books xls file, Forecasting the Adoption of E-Books excel file, Subjects Covered Forecasting Innovation Product development Success by Elie Ofek, Peter Wickersham Source: Exercises 4 pages.
Publication Date: May 03, Question 3 The long-run total adoption of e-books would be million. (Total US population x percentage of US population reading literature x Percentage of traditional paper books purchased online in ) Question 4 I do expect the market for e-books tend to be guided by imitators rather than innovators.