Towards Developing a Model-Based Decision Support Method for Enterprise Restructuring

被引:0
作者
Babkin, Eduard [1 ]
Sergeev, Alexey [1 ]
机构
[1] Natl Res Univ, Higher Sch Econ, Dept Informat Syst & Technol, Nizhnii Novgorod 603155, Russia
来源
ADVANCES IN ENTERPRISE ENGINEERING VII | 2013年 / 146卷
关键词
DEMO methodology; transaction cost theory; decision support; enterprise restructuring;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In modern world enterprises need to be agile in their operation and structure to react to changes quickly. One of the open questions here is how to develop the enterprise, or, to be more precise, if enterprise needs to be developed, and if yes, in which way. In this research we are focusing on the case when enterprise stakeholders understand the need of enterprise development, have ideas for that, and they need decision support method to understand if enterprise restructuring is likely to be successful and cost effective. Another covered topic is how to choose the best option for restructuring from variety provided. In this paper we describe the developed decision support method which combines DEMO methodology and transaction costs theory for quantitative costs estimation. To make this method applicable and reproducible we proposed few enhancements to DEMO notation.
引用
收藏
页码:17 / 27
页数:11
相关论文
共 50 条
  • [41] Complex Building's Decision Support Method Based on Fuzzy Signatures
    Bukovics, Adam
    Lilik, Ferenc
    Koczy, Laszlo T.
    BUILDINGS, 2024, 14 (06)
  • [42] Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE
    Grimm, Volker
    Augusiak, Jacqueline
    Focks, Andreas
    Frank, Beatrice M.
    Gabsi, Faten
    Johnston, Alice S. A.
    Liu, Chun
    Martin, Benjamin T.
    Meli, Mattia
    Radchuk, Viktoriia
    Thorbek, Pernille
    Railsback, Steven F.
    ECOLOGICAL MODELLING, 2014, 280 : 129 - 139
  • [43] DECISION SUPPORT BASED ON UNCERTAINTY QUANTIFICATION OF MODEL PREDICTIONS OF CONTAMINANT TRANSPORT
    Vesselinov, Velimir V.
    Harp, Dylan R.
    Birdsell, Kay
    Broxton, David
    Katzman, Danny
    PROCEEDINGS OF THE XVIII INTERNATIONAL CONFERENCE ON COMPUTATIONAL METHODS IN WATER RESOURCES (CMWR 2010), 2010, : 921 - 929
  • [44] A system dynamics-based decision support model for chemotherapy planning
    Heshmat, M.
    Eltawil, A.
    JOURNAL OF SIMULATION, 2018, 12 (04) : 283 - 294
  • [45] A Cloud Adoption Decision Support Model Based on Fuzzy Cognitive Maps
    Christoforou, Andreas
    Andreou, Andreas S.
    PRODUCT-FOCUSED SOFTWARE PROCESS IMPROVEMENT, 2013, 7983 : 240 - 252
  • [46] Agricultural Databases for Decision Support (ADDS): A strategy for developing and disseminating knowledge-based systems
    Smith, TR
    Eastwood, BR
    Radtke, AF
    COMPUTERS IN AGRICULTURE, 1998, 1998, : 511 - 517
  • [47] A Method to Assess a Fuzzy-based Mechanism to Improve Military Decision Support
    Newcomb, E. Allison
    Hammell, Robert J., II
    2013 14TH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD 2013), 2013, : 143 - 148
  • [48] Towards a risk-based decision support for offshore wind turbine installation and operation & maintenance
    Gintautas, Tomas
    Sorensen, John Dalsgaard
    Vatne, Sigrid Ringdalen
    13TH DEEP SEA OFFSHORE WIND R&D CONFERENCE, EERA DEEPWIND'2016, 2016, 94 : 207 - 217
  • [49] Towards Collaborative Chronic Care Using a Clinical Guideline-Based Decision Support System
    Liu, Haifeng
    Mei, Jing
    Xie, Guotong
    QUALITY OF LIFE THROUGH QUALITY OF INFORMATION, 2012, 180 : 492 - 496
  • [50] Developing model-based public health policy through knowledge translation: the need for a 'Communities of Practice'
    Driedger, S. M.
    Cooper, E. J.
    Moghadas, S. M.
    PUBLIC HEALTH, 2014, 128 (06) : 561 - 567