{"id":568,"date":"2009-08-07T11:54:39","date_gmt":"2009-08-07T19:54:39","guid":{"rendered":"http:\/\/www.spreadingscience.com\/?page_id=568"},"modified":"2009-08-07T12:59:56","modified_gmt":"2009-08-07T20:59:56","slug":"diffusion-of-innovations-in-a-community","status":"publish","type":"page","link":"https:\/\/www.spreadingscience.com\/our-approach\/diffusion-of-innovations-in-a-community\/","title":{"rendered":"Diffusion of Innovations in a Community"},"content":{"rendered":"

PDF<\/a><\/p>\n

Every idea or innovation takes a period of time to traverse a group of people. There is never a simultaneous adoption of something novel in a large group of people. Every individual proceeds through a multi-step process of adoption that separates everyone into different groups. Some move rapidly through the process; some are more deliberative.<\/p>\n

Many scientific institutions are organized around creative, innovative individuals. These organizations may have a higher rate of diffusion of innovations than other groups, but they are still made up of people who adopt things faster and those who adopt things slower.<\/p>\n

Understanding the process of innovation adoption – of how human beings acquire information in order to create knowledge – can help increase the rate of diffusion of novel ideas. By becoming more efficient at transferring information and knowledge, the organizations can more rapidly make decisions and adopt innovations that will have large effects on productivity. Enhancing the process essentially makes the organizations more creative.<\/p>\n

The following pages describe some of the important aspects of this process. The first – The DIKW Model for Innovation<\/em><\/strong><\/span><\/a><\/span> – describes how innovative knowledge is created, how wisdom might be achieved and why human social networks are required for any sort of innovative idea to be successful.<\/p>\n

The second page – Tacit and Explicit Information<\/strong><\/em><\/span><\/a><\/span> – examines the social aspects of knowledge creation through the interconversion of the tacit information we hold in our heads and the explicit information that most companies are good at exploiting. The easier this interconversion is to achieve, the more rapidly information travels across the organizations, helping to increase the rate of diffusion of innovations.<\/p>\n

As creative information and innovative knowledge travel through a community, they help provide individuals with the facts they need in order to make a decision about adopting a new idea or a novel tool. The third page – The 5 Steps to Adopting an Innovation<\/strong><\/em><\/span><\/a><\/span> – delineates the steps everyone goes through as they decide whether to use something new. This process has been observed in situations as diverse as the adoption of hybrid corn in a farming community to the purchase of hybrid vehicles.<\/p>\n

As individuals move through the process of adopting innovations, the community becomes split into different factions – some adopting rapidly, some adopting slowly. The fourth page – The Adoption of Change in a Community<\/a><\/strong><\/em><\/span><\/a><\/span> – describes these factions and discusses where each of the groups obtains the information they need to begin the 5 steps in innovation adoption. Supporting key aspects of information flow to key individuals in these groups can have large effects on the rates of innovation adoption.<\/p>\n

Some of these key individuals are discussed on the final page – Five Researchers Helped By Web 2.0<\/span><\/em><\/strong>.<\/a><\/span> It examines 5 types of individuals found in most research settings.\u00a0 Identifying and supporting these people will greatly help increase the rate of innovation diffusion and adoption in a community.\u00a0 That is because they are often the innovators or early adopters in the organizations, acting as opinion leaders for the majority of the community.<\/p>\n

Solving complex problems requires a better understanding of the process of the creation of knowledge and the diffusion of innovations.<\/p>\n","protected":false},"excerpt":{"rendered":"

PDF Every idea or innovation takes a period of time to traverse a group of people. There is never a simultaneous adoption of something novel in a large group of people. Every individual proceeds through a multi-step process of adoption that separates everyone into different groups. Some move rapidly through the process; some are more … Continue reading Diffusion of Innovations in a Community<\/span> →<\/span><\/a><\/p>\n","protected":false},"author":5,"featured_media":0,"parent":102,"menu_order":4,"comment_status":"open","ping_status":"open","template":"page_page.php","meta":{"spay_email":"","footnotes":""},"class_list":["post-568","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/Pe2yp-9a","jetpack_likes_enabled":true,"jetpack-related-posts":[{"id":574,"url":"https:\/\/www.spreadingscience.com\/our-approach\/diffusion-of-innovations-in-a-community\/4-the-adoption-of-change-in-a-community\/","url_meta":{"origin":568,"position":0},"title":"4. The Adoption of Change in a Community","date":"August 7, 2009","format":false,"excerpt":"PDF As discussed in Five Steps to Adopting an Innovation, individuals proceed through a multistep process as they decide whether to take up an innovation. The steps are awareness, interest, evaluation, trial and adoption. Some individuals move faster through these steps. Some slower. The graph above is a simplification of\u2026","rel":"","context":"In "General"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":572,"url":"https:\/\/www.spreadingscience.com\/our-approach\/diffusion-of-innovations-in-a-community\/3-the-5-steps-to-adopting-an-innovation\/","url_meta":{"origin":568,"position":1},"title":"3. The 5 Steps to Adopting an Innovation","date":"August 7, 2009","format":false,"excerpt":"PDF Adopting an innovation requires a decision to be made, an action to be taken. As discussed previously, this suggests that data must become information leading in the creation of knowledge. What happens in a community is mirrored in an individual. The pioneering work of Beal and Bohen identified a\u2026","rel":"","context":"In "General"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":575,"url":"https:\/\/www.spreadingscience.com\/our-approach\/diffusion-of-innovations-in-a-community\/5-five-researchers-helped-by-web-20-tools\/","url_meta":{"origin":568,"position":2},"title":"5. Five Researchers Helped By Web 2.0 Tools","date":"August 7, 2009","format":false,"excerpt":"PDF Scientific research contains many characters familiar to anyone who has ever worked for long in a lab. I've identified five types who can find substantial benefits using Web 2.0 technologies. An organization that recognizes the abilities of these individuals will increase the rate of diffusion of innovation in the\u2026","rel":"","context":"In "General"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":570,"url":"https:\/\/www.spreadingscience.com\/our-approach\/diffusion-of-innovations-in-a-community\/2-tacit-explicit-information\/","url_meta":{"origin":568,"position":3},"title":"2. Tacit-Explicit Information","date":"August 7, 2009","format":false,"excerpt":"PDF Without the ready exchange* of information, knowledge cannot be created, decisions cannot be made.\u00a0 Without knowledge, innovations cannot be adopted. The interconversion of tacit and explicit information provides the social interactions required for creating knowledge. Studying a cook, writing a recipe, creating a menu, and practicing a technique are\u2026","rel":"","context":"In "General"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":576,"url":"https:\/\/www.spreadingscience.com\/our-approach\/diffusion-of-innovations-in-a-community\/1-the-dikw-model-of-innovation\/","url_meta":{"origin":568,"position":4},"title":"1. The DIKW Model of Innovation","date":"August 7, 2009","format":false,"excerpt":"PDF Data simply exists. It gains context to become Information by human interaction, which itself becomes Knowledge by interconversion of different forms of information. Wisdom comes from repetition of the DIK cycle. Data by itself has no meaning. It fills databases. This data must be examined in order to become\u2026","rel":"","context":"In "General"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":98,"url":"https:\/\/www.spreadingscience.com\/","url_meta":{"origin":568,"position":5},"title":"Welcome to SpreadingScience","date":"August 12, 2013","format":false,"excerpt":"Keep an eye out for our new workshops in the\u00a0Spring We are trying to put our ideas into practice \u2013 helping organize a community to make wiser decisions by more efficient diffusion of innovations. We facilitate the rapid diffusion of innovative information throughout an organization. We do this is by\u00a0combining\u2026","rel":"","context":"In "General"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/www.spreadingscience.com\/wp-json\/wp\/v2\/pages\/568"}],"collection":[{"href":"https:\/\/www.spreadingscience.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.spreadingscience.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.spreadingscience.com\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.spreadingscience.com\/wp-json\/wp\/v2\/comments?post=568"}],"version-history":[{"count":1,"href":"https:\/\/www.spreadingscience.com\/wp-json\/wp\/v2\/pages\/568\/revisions"}],"predecessor-version":[{"id":727,"href":"https:\/\/www.spreadingscience.com\/wp-json\/wp\/v2\/pages\/568\/revisions\/727"}],"up":[{"embeddable":true,"href":"https:\/\/www.spreadingscience.com\/wp-json\/wp\/v2\/pages\/102"}],"wp:attachment":[{"href":"https:\/\/www.spreadingscience.com\/wp-json\/wp\/v2\/media?parent=568"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}