Converting Manufacturing Companies into Data-Driven Enterprises: an Evaluation of the Transformation Model

V. Mezhuyev, Martin Tschandl, M. Mayr
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引用次数: 1

Abstract

Several approaches can be found in the literature to describe the transformation of companies into data-driven enterprises. A comparative framework was set up to objectively evaluate such transformation models As an additional result, a new model was derived, in which six steps were finally included: Research and Preparation, Digital Maturity Level Assessment, Target Definition, Gap Analysis, Identifying Measures and Implementation. This paper concentrates on the validation of the proposed model by an expert panel. Through the responses of 20 experts, potential strengths and weaknesses were revealed and analyzed using statistical methods. In summary, the expert attitude towards the proposed model was supportive throughout all evaluation dimensions. Thus, this work provides executives of manufacturing companies with a roadmap to plan and to perform a transformation into a data-driven enterprise. A direction for further research would be an adaptation of the proposed general model to the specific needs of manufacturing companies.
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制造业企业向数据驱动型企业转型:转型模式的评价
在文献中可以找到几种方法来描述公司向数据驱动型企业的转变。建立了一个比较框架,客观地评价这些转型模型,并推导了一个新的模型,该模型最终包括研究与准备、数字成熟度水平评估、目标定义、差距分析、确定措施和实施六个步骤。本文的重点是通过一个专家小组对所提出的模型进行验证。通过20位专家的回答,揭示了潜在的优势和劣势,并采用统计方法进行了分析。总之,专家对所提出的模型的态度在所有评价维度上都是支持的。因此,这项工作为制造公司的管理人员提供了一个路线图,用于计划和执行向数据驱动企业的转换。进一步研究的一个方向是使所提出的一般模型适应制造公司的具体需要。
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