3. Innovators and External Influence

Here, we are talking about... this is how there is also we talked about the micro level network which has to do with the personal and direct diffusions.

In this chunk, the discussion centers around different types of adopters in the innovation process. People are categorized into different groups like innovators, early adopters, early majority, late majority, and laggards based on their willingness to adopt new ideas or technologies. The micro level network involves personal interactions that can encourage or delay adoption, while the macro level refers to broader networks that influence larger communities.

Imagine a new smartphone app that promises to make life easier. The innovators are the ones who try the app first without hesitation, sharing their experiences with friends. The early adopters follow suit, influenced by their friends' positive feedback. The late majority might only join in once it’s clear that most people in their circle are using it, while laggards are the last to give it a shot, often reluctant due to cost or habit.

And the second one is with a macro level networks which has an indirect networks, how from what we are using in Delhi... reliable so because someone can come and check it even in a place like IIT.

This chunk compares micro and macro level networks that influence the adoption of innovations. Micro level networks are personal and direct; for instance, friends discussing and trying out a new product together. In contrast, macro level networks involve community-wide trends and the spread of ideas across larger regions, such as how a new technology in a city like Delhi might influence communities far away through indirect channels.

Think about a new fitness craze. At a micro level, a few friends might start working out together and encourage each other, creating a small supportive environment. Meanwhile, at a macro level, social media influencers or news stories might promote this fitness trend to thousands, leading communities across the country to adopt the workouts together based on broader appeal.

Now, if we take the perception of the most innovative and the conservative... very innovative level to a conservative level.

Here, we explore the varying perceptions of innovators and conservatives. For instance, an individual (Person A), who quickly adopts a new idea, might influence others within his network, while another individual (Person B), even if he eventually adopts the idea, takes longer due to more conservative thinking. The chunk illustrates that innovativeness can be measured differently depending on the context—whether considering an individual's immediate network or a broader community.

Consider two friends, Alex and Sam. Alex sees a new technology, such as a virtual reality headset, and buys one immediately to try it out, influencing his friends to do the same. Sam, however, waits to see how others react before making a purchase. In this scenario, Alex is seen as innovative, while Sam appears conservative. However, if more time passes and Sam ends up trying it out, their roles may shift depending on how widely the technology spreads in their community.

There is also the second argument of it is how in time, how the exposure and the threshold you know how it varies...

In this chunk, the discussion revolves around the concept of thresholds for adopting innovations. It talks about how exposure to new ideas within one’s network can influence decisions to adopt. Different individuals may have different thresholds, meaning some might need less exposure to adopt a technology while others may require more encouragement from their peers before trying it themselves.

For example, if several friends start using a new online learning platform, one friend might jump on board after just hearing about it ('low threshold') while another might wait until several people they trust have signed up and shared their experiences before trying it themselves ('high threshold'). This variance in thresholds reflects how some people are more open to innovation than others.

So, what are the adopter categories, this is a bell shaped curve which shows... that network threshold.

This section outlines the categories of adopters represented in a bell-shaped curve: innovators, early adopters, early majority, late majority, and laggards. This model illustrates how individuals adopt innovations over time, with innovators leading the way and laggards adopting last. Each category has its defining characteristics that relate to the timing of their adoption relative to average adoption times.

Think of a new video game release. Innovators might be the ones lining up outside the store when it opens. Early adopters play and review it quickly, influencing early majority players to jump on board soon after. The late majority may wait for price drops or see gameplay on social media before playing it. Finally, laggards are those who might only try it out years later when they find it deeply discounted or when it becomes part of a bundle.

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