NUR 699 GC Week 5 Assignment 1 Change Model Using Roger’s Diffusion of Innovation Theory Paper

Change Model Using Roger’s Diffusion of Innovation Theory Paper

Evidence-Based Practice Proposal – Section E: Change Model

Details:

In 500-750 words (not including the title page and reference page), apply a change model to the implementation plan. Include the following:

1. Roger’s diffusion of innovation theory is a particularly good theoretical framework to apply to an EBP project. However, students may also choose to use change models, such as Duck’s change curve model or the transtheoretical model of behavioral change. Other conceptual models presented such as a utilization model (Stetler’s model) and EBP models (the Iowa model and ARCC model) can also be used as a framework for applying your evidence-based intervention in clinical practice.
2. Apply one of the above models and carry your implementation through each of the stages, phases, or steps identified in the chosen model.
3. In addition, create a conceptual model of the project. Although you will not be submitting the conceptual model you design in Topic 5 with the narrative, the conceptual model should be placed in the appendices for the final paper.

Prepare this assignment according to the APA guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to Turnitin. Please refer to the directions in the Student Success Center.

Upon receiving feedback from the instructor, refine “Section E: Change Model” for your final submission. This will be a continuous process throughout the course for each section.

You must proofread your paper. But do not strictly rely on your computer’s spell-checker and grammar-checker; failure to do so indicates a lack of effort on your part and you can expect your grade to suffer accordingly. Papers with numerous misspelled words and grammatical mistakes will be penalized. Read over your paper – in silence and then aloud – before handing it in and make corrections as necessary. Often it is advantageous to have a friend proofread your paper for obvious errors. Handwritten corrections are preferable to uncorrected mistakes.

Use a standard 10 to 12 point (10 to 12 characters per inch) typeface. Smaller or compressed type and papers with small margins or single-spacing are hard to read. It is better to let your essay run over the recommended number of pages than to try to compress it into fewer pages.

Likewise, large type, large margins, large indentations, triple-spacing, increased leading (space between lines), increased kerning (space between letters), and any other such attempts at “padding” to increase the length of a paper are unacceptable, wasteful of trees, and will not fool your professor.

The paper must be neatly formatted, double-spaced with a one-inch margin on the top, bottom, and sides of each page. When submitting hard copy, be sure to use white paper and print out using dark ink. If it is hard to read your essay, it will also be hard to follow your argument.

Change Model Using Roger’s Diffusion of Innovation Theory Paper

ADDITIONAL INFORMATION;

Change model: Rogers Diffusion of Innovation Theory

Introduction

Rogers’ Diffusion of Innovation Theory (IDT) posits that there are five different types of people in a population. Each type is defined by how quickly they will adopt new ideas, or the speed at which they accept new concepts. The theory was created by Everett Rogers and is widely accepted as being an accurate representation of how innovation happens in the real world. It has been used successfully to predict changes in technology adoption rates over time as well as predict how new technologies will be accepted by consumers.

Population is split into categories based on differences in innovativeness, or how quickly they adopt new ideas.

The Rogers’ Diffusion of Innovation Theory is a model that divides the population into categories based on differences in innovativeness.

• Innovativeness: The extent to which individuals adopt new ideas quickly or slowly.

• Category: A group of people with similar characteristics and behaviors (e.g., age, gender, wealth level).

Five categories

• Inventors

• Early adopters

• Early majority (early majority)

• Late majority (late majority)

The early adopters are the first people to try a new product or service. They are often seen as trendsetters and can be influential in helping other people decide whether or not to adopt something. Early majority means that nearly half of all customers have adopted a new technology, but there is still a substantial number who haven’t yet tried it out.

Innovators

Innovators are the first to try new things, and are willing to take risks. They are usually leaders, or very creative people. They are often considered to be ‘cool’ because of their openness and willingness to explore new ideas, even if it means failing at first.

Innovators will often go against the crowd by asking questions such as “what if?” or “can we do that?”

Early adopters

Early adopters are willing to try new things and aren’t afraid of making mistakes. They’re often trendsetters, so they’re often the first to try out new technology or products. They don’t mind looking stupid (and sometimes even look goofy) while trying something new, because they know that they’ll be pioneers in their field someday—and once you see what early adopters can do with a product or service, it’s hard not to want one too!

Early majority

The early majority is a group of people who adopt an innovation after the innovators and early adopters. They are more likely to adopt an innovation that has already been adopted by a large number of people, so they tend to be more conservative than late majority users. This can be seen in how Rogers Diffusion of Innovation Theory describes this group: “The early majority will adopt new products in order to satisfy their own needs or wants; however, they are not very likely to switch from old products if those products meet their needs adequately.”

This means that there will be some level of resistance among members within this category when trying out something new or different they may try it out but then revert back when they find something better elsewhere (e.g., Facebook).

Late majority

The late majority are often those who are cautious, risk averse and typically older than early adopters. They may be less educated than the early majority but they have more experience in business and can make better decisions about how to use new technology.

Laggards

Laggards are the last to adopt a new idea, and they tend to resist change. They’re often older people who have very strong opinions about the old way. Laggards are also more likely to be male, so you can use this information when thinking about your target audience.

The laggard theory is useful for understanding why some companies adopt new technology faster than others it helps predict how long it will take big companies like Google or Microsoft (or even small ones) who haven’t yet adopted an innovation in order for them too adopt it!

The bell curve

The bell curve is a graph that shows the distribution of data. It’s shaped like a bell, hence its name. The curve has a peak in the middle and tapers off on either side, with even numbers (0-10) closer together than odd ones (11-20).

A few things to keep in mind:

• The bell curve is symmetrical—it looks exactly the same no matter where you start from or how far along your journey you’ve gotten.

• As more people and businesses adopt an innovation, its spread outwards until it reaches maximum saturation point (MC = 100%).

There are different types of people who will readily adopt new ideas, and those who will not.

The bell curve is a graphical representation of the distribution of a variable, and it can be used to explain why some people are more likely to adopt new ideas than others. It’s also known as the normal distribution or Gaussian (or “Gaussian” for short), because its shape looks like an upside-down bell.

The Gaussian bell curve is symmetric, unimodal, and has its maximum at the mean (i.e., average) value and it’s this property that makes it so useful in understanding how innovation works!

Conclusion

This model is a great way to understand how innovation takes place and why it happens. It can help you identify who your target audience is, how they interact with new ideas, and how you can tailor your message to fit those preferences.