ADVANCES IN DECISION ANALYSIS AND SYSTEMS ENGINEERING FOR MANAGING LARGE-SCALE ENTERPRISES IN A VOLATILE WORLD： INTEGRATING BENEFITS, OPPORTUNITIES, COSTS AND RISKS （BOCR） WITH THE BUSINESS MOTIVATION MODEL （BMM）

1. Introduction Recent advances in Information and Communication Technologies (ICT) have occurred in a number of areas includinginformation quality (Chutimaskul and Wangpipatwong 2004), strategy (Sha, Hung and Lin 2004) organization (Crowne 2004), technological change (Mitchell 2004), and utility1. Introduction Recent advances in Information and Communication Technologies (ICT) have occurred in a number of areas includinginformation quality (Chutimaskul and Wangpipatwong 2004), strateg…

Advances in decision analysis and systems engineering for managing large-scale enterprises in a volatile world: Integrating Benefits, Opportunities, Costs and Risks (BOCR) with the Business Motivation Model (BMM)

Over the past few decades, innovations in Information and Communication Technologies (ICT) have led to a significant increase in the complexity of enterprise information systems. This has led to new challenges for enterprise architects, systems engineers, business managers and other decision makers who must cope with the complexity of business plans and processes (particularly automated engineering processes). In order to better manage this complexity, the Business Rule Group (BRG) has put forth the Business Motivation Model (BMM). The original BMM uses a SWOT (Strength, Weakness, Opportunity, and Threat) decision analysis approach. However, the SWOT framework contains significant limitations with respect to decision making and ICT risks, hampering the decision making ability of enterprise architects, business managers, engineers, and other decision makers. The AHP (Analytic Hierarchy Process) and ANP (Analytic Network Process) are among the most widely used decision making tools: they commonly implement a Benefit — Opportunity — Cost — Risk (BOCR) analysis to improve the effectiveness of business decision making. A new approach is put forth that replaces the original SWOT assessment with an ANP-based BOCR analysis. As well, the original BMM is modified and applied in a Component Architecture Framework (CAF). Thomas Feglar Dr. Tom Feglar received his PhD (in Computer Science) at the Institute of Technical Cybernetics, Academy of Sciences of the Slovak Republic. His professional experience includes work at the Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic and the Czech Ministry of Defense. His interests include computer cryptography, risk management, information security, data mining and knowledge discovery, simulation and enterprise architectures (methodologies and frameworks). Jason Levy Dr. Jason Levy received his PhD (2001) in the Faculty of Engineering at the University of Waterloo, in Waterloo, Ontario, Canada. He is currently an Assistant Professor in the Department of Applied Disaster and Emergency Management at Brandon University, Manitoba, Canada. He has previously taught at the University of Hawaii (USA), University of Waterloo (Canada), Wilfrid Laurier University (Canada), and Kyoto University, Japan. His interests include decision support systems, statistical analysis, and database support. Tatiana Feglar received her MSc (2003) in the Faculty of Engineering at the Czech Technical University in Prague. Her professional experience includes participating in international architectural projects. She is responsible for CAF testing and CAF models development. Her interests include system architecture, risk management and computer security. Thomas Feglar Jr received his BSc (2005) in the Faculty of Information Management at the University of Economics in Prague. He is responsible for CAF software toolkit development. His interests include knowledge and information management.