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Understanding the failure to understand New Product Development failures: Mitigating the uncertainty associated with innovating new products by combining scenario planning and forecasting

机译:理解失败以了解新产品开发失败:通过组合方案计划和预测来减轻与创新新产品相关的不确定性

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摘要

In this paper we show that New Product Development (NPD) is subject to fundamental uncertainty that is bothudepistemic and ontic in nature. We argue that this uncertainty cannot be mitigated using forecasting techniquesudexclusively, because these are most useful in circumstances characteristic of probabilistic risk, as distinct fromudnon-probabilistic uncertainty. We show that the mitigation of uncertainty in relation to NPD requires techniquesudable to take account of the socio-economic factors that can combine to cause present assumptions about futureuddemand conditions to be incorrect. This can be achieved through an Intuitive Logics (IL) scenario planningudprocess designed specifically to mitigate uncertainty associated with NPD by incorporating insights from bothudquantitative modelling alongside consideration of political, social, technological and legal factors, as-well-asudstakeholder motivations that are central to successful NPD. In this paper we therefore achieve three objectives:ud1) identify the aspects of the current IL process salient to mitigating the uncertainty of NPD; 2) show howudadvances in diffusion modelling can be used to identify the social-network and contagion effects that lead to audproduct's full diffusion; and 3) show how the IL process can be further enhanced to facilitate detailed considerationudof the factors enabling and inhibiting initial market-acceptance, and then the forecasted full diffusion of a consideredudnew product. We provide a step-by-step guide to the implementation of this adapted IL scenario planning processuddesigned specifically to mitigate uncertainty in relation to NPD
机译:在本文中,我们表明,新产品开发(NPD)受本质上不确定性的影响,这种不确定性既是 udepstemic的又是本体的。我们认为,不确定性不能使用预测技术来缓解,因为它们在概率风险特征的情况下最有用,这与 udnon概率不确定性不同。我们表明,与NPD有关的不确定性的缓解需要技术 ududable来考虑社会经济因素,这些因素可以结合起来导致对未来 uddemand条件的当前假设不正确。这可以通过专门设计用于减轻NPD相关不确定性的直觉逻辑(IL)情景计划 udprocess来实现,它可以结合来自数字化模型的见解以及对政治,社会,技术和法律因素以及利益相关者的考虑成功NPD至关重要的动机。因此,在本文中,我们实现了三个目标: ud1)识别当前IL过程中显着减轻NPD不确定性的方面; 2)展示扩散建模中的 advanced可以如何用于识别导致 udproduct完全扩散的社交网络和传染效应;和3)展示了如何进一步增强IL过程,以促进对导致和抑制最初市场接受度的因素的详细考虑,然后对考虑的新产品进行全面预测。我们提供了此适应性IL情景规划过程实施的分步指南,该过程经过特别设计以减轻与NPD相关的不确定性

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