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BUILDING DIGITAL CAPABILITIES FOR TRIAL-BASED PROBLEM SOLVING: A DESIGN THEORY

机译:尝试解决基于数字的问题的数字能力:一种设计理论

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Businesses in the networked digital industries face increasingly turbulent environments,characterized not only by rapid evolution but by unpredictable and disruptive changethat devalues the knowledge built up through experience. In response, a number ofprominent companies are beginning to employ a strategy of widespread and continuousexperimentation, supported by new business intelligence technologies, as a better wayto keep up with the changes in their markets. Despite a great deal of hype, however,there has been too little theoretical guidance about how to implement this kind ofstrategy or in what situations it might be appropriate. This paper draws on a recentlydevelopedtheory of trial-based problem solving (TBPS) to articulate a new designtheory that may fill this gap. Using an information systems design theory (ISDT)framework, this work translates the new theory into a set of practical principles that canbe applied across a number of problem domains.
机译:网络数字产业中的企业面临越来越动荡的环境, 不仅具有快速发展的特点,而且具有不可预测和破坏性的变化 这会使通过经验积累的知识贬值。作为回应, 杰出的公司开始采用广泛而持续的战略 实验,在新的商业智能技术的支持下,这是一种更好的方法 跟上他们市场的变化。尽管大肆宣传, 关于如何实施这种方法的理论指导还很少 策略或在什么情况下合适。本文借鉴了最近开发的 基于试验的问题解决(TBPS)理论来阐明新设计 填补这一空白的理论。使用信息系统设计理论(ISDT) 框架,这项工作将新理论转化为一套可以 可应用于许多问题领域。

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