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Innovation is created by humans, not by systems: an exploration of user involvement in living labs: user motivation versus lead user criteria

机译:创新是由人而不是系统创造的:用户参与生活实验室的探索:用户激励与领先用户标准

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摘要

The past few years companies have become more interested in involving users during the production process of their products. On the other hand, a group of users started to innovate on their own. Users also became interested in becoming part of the production processes themselves. Certain users experience certain needs earlier than others and they enjoy finding solutions for these needs. They are called Lead Users (von Hippel, 2005). Living Labs are one possibility for users to realize this interest to innovate. iLab.o, the Living Lab division of iMinds, has been organizing Living Lab research since 2009. To get a better view on the motivations of this panel, we analyzed the behavior of the involved users from September 2009 to December 2013. We tried to detect Lead Users, but it is not obvious to define people as Lead Users because of the different used definitions. Instead, we divided this panel into three types of users based on the intensity of their involvement: passive, sleeping and active users. A small group of users is extremely active and are been defined as “alpha users”. Based on interviews with these alpha users in November and December 2013, a better view on their motivations to keep participating in Living Lab research was made. In this paper we focus on the participation of these different user types in one research phase type within Living Lab research, more specifically co-creation sessions. By means of a comparative case study, we tried to get a better understanding of the behavior of the different user types. It became clear that in order to keep the panel involved it is important to focus on community building.
机译:在过去的几年中,公司对在产品生产过程中吸引用户越来越感兴趣。另一方面,一群用户开始自主创新。用户也对自己成为生产过程的一部分感兴趣。某些用户比其他用户更早地遇到了某些需求,他们喜欢找到满足这些需求的解决方案。他们被称为主要用户(von Hippel,2005)。用户可以通过Living Labs实现创新的兴趣。 iMinds的Living Lab部门iLab.o自2009年以来一直在组织Living Lab研究。为了更好地了解该小组的动机,我们分析了2009年9月至2013年12月相关用户的行为。检测主要用户,但由于使用的定义不同,因此将人员定义为主要用户并不明显。取而代之的是,我们根据参与程度将面板分为三种类型:被动,睡眠和主动用户。一小部分用户非常活跃,被定义为“ alpha用户”。根据2013年11月和2013年12月对这些Alpha用户的采访,对他们继续参与Living Lab研究的动机有了更好的了解。在本文中,我们专注于这些不同的用户类型参与Living Lab研究中的一种研究阶段类型,尤其是共同创建课程。通过比较案例研究,我们试图更好地了解不同用户类型的行为。显然,为了让专家小组参与进来,重点放在社区建设上很重要。

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