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Initiators of open innovation processes involving customers or employees often face vast amounts of idea proposals. These proposals vary greatly in terms of quality, which is why organizers often engage the users themselves in the evaluation process. Building on the concept of information overload, we evaluate the effects of three distinct rating scales on users’ activity and frustration measures. On the basis of an open innovation campaign for employees of a public-private institution in Germany, we systematically compare the novel “bag of lemons” method with conventional Likert scales and up-down-voting schemes. Our results demonstrate that the “bag of lemons”-approach yields higher levels of user activity, but is also perceived as significantly more frustrating. We find this effect to be fully mediated by perceived information overload, which points to potential avenues for the design of stimulating yet tolerably complex Information Systems for open innovation and rating techniques.

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When Life Gives You Lemons: How rating scales affect user activity and frustration in collaborative evaluation processes

Initiators of open innovation processes involving customers or employees often face vast amounts of idea proposals. These proposals vary greatly in terms of quality, which is why organizers often engage the users themselves in the evaluation process. Building on the concept of information overload, we evaluate the effects of three distinct rating scales on users’ activity and frustration measures. On the basis of an open innovation campaign for employees of a public-private institution in Germany, we systematically compare the novel “bag of lemons” method with conventional Likert scales and up-down-voting schemes. Our results demonstrate that the “bag of lemons”-approach yields higher levels of user activity, but is also perceived as significantly more frustrating. We find this effect to be fully mediated by perceived information overload, which points to potential avenues for the design of stimulating yet tolerably complex Information Systems for open innovation and rating techniques.