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Support Management Decisions In Small And Medium Companies



    (“Al. I. Cuza” University of Iasi)

  • Mircea GEORGESCU

    (“Al. I. Cuza” University of Iasi)


A system built to support management decisions and not only needs to be accurate and well adapted to the requirements of the decision and the variables involved in it, and this happens because a decision is still a human act in any type of business and institution. We can say that a decision support system has a part in it that cannot be determined by any software: the human decision which is not a determinist act. It depends on a lot of variables but also still involves the decision maker intuition and experience. This is why an important problem emerged to be discussed in this paper: the need to implement and develop an in house solution to help management decisions and not only, using existing tools and this with no additional fees. This can be a good opportunity to discover models and solutions. An identified solution using Microsoft Excel and Access is discussed in this paper and a model applied on a case study will be presented. The results of the case study showed a real support in making decisions and a better transparency in manipulating the data, improving also the time needed to collect, transform and present data. The model can be applied in any type of problem that needs a visual presentation of data as well as in situations that need working with a large amount of data, but especially in small and medium size companies.

Suggested Citation

  • Roxana POPA STRAINU & Mircea GEORGESCU, 2015. "Support Management Decisions In Small And Medium Companies," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 16, pages 167-181, December.
  • Handle: RePEc:aic:revebs:y:2015:d:16:popastrainur

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    References listed on IDEAS

    1. Palocsay, Susan W. & Markham, Ina S. & Markham, Steven E., 2010. "Utilizing and teaching data tools in Excel for exploratory analysis," Journal of Business Research, Elsevier, vol. 63(2), pages 191-206, February.
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