Crowdsourcing in decision making refers to:

Question

BlackTom AI · Accepted Answer

Exploring what crowdsourcing in decision making means involves understanding who is involved and where the input comes from.
Option 1: 'Following strict governmental regulations'—This describes compliance or regulatory procedures, not crowdsourcing. It does not involve gathering input from a broad or external crowd, so this mischaracterizes crowdsourcing.
Option 2: 'Making decisions based on a majority vote of employees'—While this uses input from a group, crowdsourcing typically refers to sourcing ideas or input from external or nontraditional participants, not just internal employees voting. This captures a narrow, internal approach rather than the broader concept.
Option 3: 'Relying on a network of people outside the traditional set of decision makers'—This aligns with the core idea of crowdsourcing: obtaining ideas, insights, or decisions from a wide external crowd, not limited to the usual executives or decision-makers. It emphasizes leveraging diverse input from beyond the usual circle, which is the essence of crowdsourcing.
Option 4: 'Using only top-level executives to make decisions'—This is the opposite of crowdsourcing, which seeks input beyond the traditional decision-makers. Limiting decisions to executives excludes the broader crowd-based input that crowdsourcing aims to harness.
In summary, the correct understanding is that crowdsourcing involves tapping into a network of people outside the traditional decision-makers, rather than confining input to internal groups, regulatory contexts, or a closed executive circle.

Crowdsourcing in decision making refers to:

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