THE STUDY OF INTELLIGENT STRATEGIC MANAGEMENT MODEL BASED ON BSC-BNS
Strategic management is the dynamic process in which organizations construct plans, makes policy and puts into effect for a long-term developing objective. Establishing efficient intelligent strategic control model and management system is an urgent and important problem. Using financial and non-financial measures, the Balanced Scorecard (BSC) approach appraises four dimensions of firm performance: customers, financial (or shareholders), learning and growth, and internal business processes. Bayesian networks (BNs) are useful for both inferential exploration of previously undetermined relationships among variables as well as descriptions of these relationships upon discovery. Using a Bayesian Network offers many advantages over traditional methods of determining causal relationships. Independence among variables is easy to recognize and isolate while conditional relationships are clearly delimited by a directed graph edge. This paper attempts to establish a link between these two approaches and identifies future research opportunities in relation to these two approaches. We combine BNs with BSC approach, explore and establish a new kind of strategic control model.
strategic management balanced scorecard Bayesian networks intelligent
Yan Peng Xiangyang Huang Junfang Zhang Tong Wang
College of Information Engineering,Capital Normal University Beijing 100037,China China Academy of Railway Sciences Institute of Computing Technologies,Beijing 100081,China
国际会议
2008年拟人系统国际会议(2008 International Conference on Humanized Systems )(ICHS’08)
北京
英文
2008-10-18（万方平台首次上网日期，不代表论文的发表时间）