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Innovation in Decision Sciences

机译:决策科学创新

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摘要

Depending on which school of thought one belongs to, the current era can either be characterized as a vicious cycle or a virtuous cycle of data explosion, expanding applications, advancement of techniques, and increasing technology complexity. It is hard to say what is driving what, but the cycle is exacerbated by nature of businesses and the problems they are encountering. Continuous business transformation is a reality that defines the business problem space. Today there is an exponential increase in the number of problems that a business faces. This is triggered by emergence of new business models, cross-linkage across value chain boundaries, competition, and regulation. Further, yesteryear's business problems are disappearing and today there is an increasing number of high-impact, complex but short duration business problems. In such a situation, organizations are faced with the imperative of innovation in their problem solving and decision support methods. In this article we will focus on two broad areas of innovation that we see as emerging in the area of decisions sciences.
机译:根据时代的不同,当前时代可以被描述为数据爆炸的恶性循环或良性循环,扩展应用程序,技术进步以及技术复杂性增加。很难说是什么驱动了什么,但是由于企业的性质和它们所遇到的问题而加剧了这种循环。持续的业务转型是定义业务问题空间的现实。如今,企业面临的问题数量呈指数级增长。这是由新业务模式的出现,跨价值链边界的交叉链接,竞争和监管引发的。此外,去年的业务问题正在消失,如今,影响力大,复杂但持续时间短的业务问题越来越多。在这种情况下,组织必须在其问题解决和决策支持方法上进行创新。在本文中,我们将重点关注决策科学领域中正在出现的两个广泛的创新领域。

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