This study addresses the lag in effective usage of scanner-derived information in managerial decision-making. The purpose of this research is to clarify the informational needs of the various levels of management in a retail grocery firm and to develop an informational management system to deliver such information. The four specific objectives of this project are: (1) to identify the decision-making roles of the various levels of management in a firm, (2) to identify the present usage of scanner-derived information in decision-making, (3) to identify specific scanner-derived information which could facilitate the decision-making process, and (4) to develop a firm-wide information management system which would provide each management level with the information it needs and would coordinate total firm operations, but would not burden a particular level with large volumes of unnecessary data.
The information used for meeting the objectives of this research was largely collected through open-ended discussions with various levels of management within seventeen cooperating retail grocery firms. The discussions placed emphasis on the current usages of scanner-derived data and on how to facilitate the use of scanner-derived data in managerial decision-making.
This research substantiated the hypothesis that little use had been made of scanner-derived data for managerial decision-making in retail grocery firms. Also, barriers to the effective use of scanner-derived data were documented. The specific informational needs of the various levels of management, as discovered through the discussions with managers of the cooperating firms, were used as the basis for the information management system. / M.S.
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/101155 |
| Date | January 1986 |
| Creators | Thomas, Jeffrey M. |
| Contributors | Agricultural Economics |
| Publisher | Virginia Polytechnic Institute and State University |
| Source Sets | Virginia Tech Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis, Text |
| Format | xi, 150 leaves, application/pdf, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
| Relation | OCLC# 15477143 |
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