Which concept involves engaging communities in the product innovation process?

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The concept of engaging communities in the product innovation process is best described by crowd sourcing. This approach involves utilizing the collective intelligence and creativity of a large group of people, often from varied backgrounds, to generate ideas, solve problems, or develop products. In the context of product innovation, crowd sourcing allows companies and organizations to tap into the diverse insights and preferences of the community, leading to more relevant and innovative solutions.

Crowd sourcing can take many forms, such as online platforms where individuals can submit ideas, feedback, or even vote on potential products. This not only fosters a greater sense of ownership among participants but also ensures that the products developed are more closely aligned with consumer needs and expectations.

The other options, while they have their own significant applications, do not focus on community engagement in the same way. Big data relates to the collection and analysis of vast amounts of data to uncover trends and patterns, but it does not inherently involve community participation. Computer modeling is a technique used to simulate real-world processes and scenarios for analysis, which typically relies on existing data rather than community input. Radio tracking is a method used for tracking the location of animals or objects using radio signals, which is not relevant to product innovation or community engagement. Thus, crowd sourcing stands out

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