Technology Adoption
How Does Technology Adoption Impact Business?
Technology adoption refers to the process of accepting, integrating, and using new technology in society. The process follows several stages, usually categorized by the groups of people who use that technology. For instance:
- Innovators represent the very first developers of a technology
- Early adopters include groups that quickly test and begin using new technology
- The early majority and the late majority represent the bulk of users
- Laggards are those who adopt a technology last
This model has been around for decades and is often applied to digital technology. Some versions of the model make use of different terminology, but they all feature a graph in the shape of a bell curve with similar groups of users. The model is useful in describing, for instance, the adoption of cell phones, smartphones, the internet, and other forms of digital technology. For businesses that develop software or digital technology, this model can be used to discover appropriate customers for a product. It can also be used by any business seeking a better understanding of the impact of digital technology in its industry. Businesses that can identify technology trends, for instance, can adopt technology earlier than competitors. This will often result in a competitive advantage for those businesses.
Frequently asked questions
Four main factors affect technology adoption. 1. Performance expectancy, which is how much a user thinks a product will help them perform. 2. Effort expectancy, which is how easy the product is to use. 3. facilitating conditions, which involves how much an employer will help the user learn to use the new product. 4. social influence, which involves how much the user thinks about how peers view their use of the new technology.
The technology adoption lifecycle is a comprehensive explanation of how customers react toward introducing and embracing a new product or feature, usually divided into five categories: innovators, early adopters, early majority, late majority and laggards. This allows us to understand customer behavior related to adopting emerging technologies.
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