Two-Factor Learning for Launch: How Entrepreneurs Can Increase the Probability of Positive Responses to Their Minimum Viable Products

Jason Lortie, K. Cox, S. Kelly, Troy Bolivar
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Abstract

Lean startup methodologies are believed to reduce the overall risk and cost for launching new businesses. Many of these methodologies provide processes and tools that aid new entrepreneurs in their attempts to make informed decisions before, during, and after the launch of their minimum viable product (MVP). Drawing on theories from the Knowledge Based View, Organizational Learning, Lean Entrepreneurship, and Herzberg’s Two-Factor Theory of Hygiene and Motivating Factors, we propose a theoretical framework of incremental innovation and lean launch that is capable of increasing the probability of the MVP receiving a positive environmental response. Our framework models the phenomena of responses to MVPs within a specific market through knowledge of existing offerings and the ideas we introduce around satisfaction and dissatisfaction as two separate continuums of responses intended customers may have to MVPs. Additionally, we propose that the relationship between individual and organizational knowledge can be moderated by the individual’s level of embeddedness, and that the relationship between organizational knowledge and the environmental response to the MVP can be moderated by the organization’s capabilities and access to resources.
发布的双因素学习:企业家如何增加对其最小可行产品的积极反应的可能性
精益创业方法被认为可以降低启动新业务的总体风险和成本。其中许多方法提供了流程和工具,帮助新企业家在他们的最小可行产品(MVP)发布之前、期间和之后做出明智的决策。借鉴知识基础理论、组织学习理论、精益创业理论和赫茨伯格的卫生和激励因素双因素理论,我们提出了一个能够提高MVP获得积极环境响应概率的增量创新和精益启动理论框架。我们的框架通过对现有产品的了解,以及我们将满意度和不满意度作为预期客户可能对mvp做出的两个独立反应的想法,对特定市场中对mvp的反应现象进行建模。此外,我们提出个人与组织知识之间的关系可以通过个人的嵌入水平来调节,组织知识与环境对MVP的反应之间的关系可以通过组织的能力和资源获取来调节。
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