Tackling Lack of Motivation in Aspirational Analytics Companies: SME Examples from the Manufacturing Industry

Kristens Gudfinnsson, J. Rose, Lena Aggestam
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引用次数: 2

Abstract

Establishing business intelligence analytics (BIA) in small- and medium-sized manufacturing enterprises is a pervasive problem. SME's - the majority of businesses - play an important role in creating jobs, but research is primarily focused on large corporations. The authors worked with small manufacturing companies at the aspirational capability level but found that their motivation to introduce BIA was low. They had many business challenges but perceived the obstacles (primarily cost and effort) as too great, and their priorities were with operational issues. A two-phase approach based on a well-known analytics maturity model was devised to help raise company motivation. The article describes three studies in different companies using variations of the approach. Comparative analysis of the cases shows that demonstrating a clear path to improved functional efficiency is key to improving motivation, and that simple, easy to learn tools can provide these insights at little cost.
解决抱负分析公司缺乏动力的问题:来自制造业的中小企业例子
在中小型制造企业中建立商业智能分析(BIA)是一个普遍存在的问题。中小企业——大多数企业——在创造就业机会方面发挥着重要作用,但研究主要集中在大公司。作者与具有理想能力水平的小型制造公司合作,但发现他们引入BIA的动机很低。他们有许多业务挑战,但认为障碍(主要是成本和努力)太大,他们的优先事项是操作问题。一种基于著名的分析成熟度模型的两阶段方法被设计出来帮助提高公司的动机。这篇文章描述了在不同公司中使用不同方法进行的三项研究。对案例的对比分析表明,展示改善职能效率的清晰路径是提高动机的关键,而简单易学的工具可以以很小的成本提供这些见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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