Cognitive Mapping: A Decision Support Tool for a New Business Unit Location Choice

被引:0
|
作者
de Lima, Alexsandro Souza [1 ]
Damiani, Jose Henrique de S. [2 ]
Cabral, Arnoldo S. [2 ]
机构
[1] Estado Maior Aeronaut, BR-70045900 Brasilia, DF, Brazil
[2] Inst Tecnol Aeronaut, BR-12228900 Sao Jose Dos Campos, SP, Brazil
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The search for the best way to allocate resources is a common problem in organizations. The difficulty lies, generally, in trying to bring together conflicting goals, usually condensed to minimize costs and maximize benefits, all in accordance with a risk level considered acceptable. The identification of promising locations for the installation of new business units addresses this kind of problem, where a decision has to be made in order to optimize the organizations resources. This paper aims to discuss the use of cognitive maps as a support tool in a locational decision problem. To this end, we present concepts treated in literature, necessary to understand the issue at hand. Then, explanations are taken on the use of cognitive maps for the identification and hierarchical structuring of Fundamental Points of View of a decision maker. Finally, a case study is presented, aiming to demonstrate the applicability of cognitive maps in developing an analytical framework to support the decision making process of choosing the location for a new medical laboratory unit.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Intelligent business analytics - a tool to build decision-support systems for eBusinesses
    Azvine, B
    Nauck, D
    Ho, C
    BT TECHNOLOGY JOURNAL, 2003, 21 (04) : 65 - 71
  • [22] Heat unit mapping a decision support system for selection and evaluation of citrus cultivars
    Khurshid, T
    Hutton, RJ
    Proceedings of the International Symposium on Harnessing the Potential of Horticulture in the Asian-Pacific Region, 2005, (694): : 265 - 269
  • [23] Business intelligence systems as a new generation of decision support systems
    Olszak, CM
    Ziemba, E
    International Conference on Politics and Information Systems: Technologies and Applications, Vol 1: INFORMATICS AND SOCIETY, 2004, : 172 - 177
  • [24] The mathematical models as a decision support tool for the oil transportation business: A case study of an oil business in Thailand
    Donmuen, Manop
    Pitiruek, Komkrit
    COGENT ENGINEERING, 2022, 9 (01):
  • [25] THE EFFECT OF AN ELECTRONIC DECISION SUPPORT QUALITY TOOL ON INTENSIVE CARE UNIT ROUNDS
    Tocci, Noah
    Devlin, Scott
    Anderson, Ann
    Joyce, Christine
    Li, Stephanie
    Holland, Susan
    O'Donoghue, Sharon
    FitzGerald, Jacqueline
    Sheehan, Julia
    Curley, Caitlyn
    O'Donoghue, Ashley
    Stevens, Jennifer
    Cocchi, Michael
    CRITICAL CARE MEDICINE, 2019, 47
  • [26] Cognitive Analysis of Decision Support for Antibiotic Ordering in a Neonatal Intensive Care Unit
    Sheehan, B.
    Kaufman, D.
    Bakken, S.
    Currie, L. M.
    APPLIED CLINICAL INFORMATICS, 2012, 3 (01): : 105 - 123
  • [27] Mapping the Rescue Equipment Mobilization Potential: Decision Support Tool for Emergency Management
    Kim, Daeho
    Hong, Taehoon
    Lee, Minhyun
    Koo, Choongwan
    Kim, Jimin
    Jeong, Kwangbok
    JOURNAL OF MANAGEMENT IN ENGINEERING, 2017, 33 (06)
  • [28] ARAMANI - Decision-Support Tool for Selecting Optimal Participatory Mapping Method
    Panek, Jiri
    CARTOGRAPHIC JOURNAL, 2015, 52 (02): : 107 - 113
  • [29] Data cubes mapping and visualization with SOLAP tool: Support for geospatial decision making
    Bakillah, Mohamed
    INFORMATION MANAGEMENT IN THE MODERN ORGANIZATIONS: TRENDS & SOLUTIONS, VOLS 1 AND 2, 2008, : 705 - 712
  • [30] DEVELOPMENT OF A RADIOACTIVITY MAPPING TOOL TO SUPPORT THE DECISION MAKING FOR RADIOLOGICAL EMERGENCY EVENTS
    Jeong, Hyojoon
    Hwang, Wontae
    Kim, Eunhan
    Han, Moonhee
    RADIATION PROTECTION DOSIMETRY, 2011, 146 (1-3) : 54 - 57