Intelligent Decision Making and Risk Analysis for IT Management Processes

2011 ◽  
pp. 255-276
Author(s):  
Masoud Mohammadian ◽  
Ric Jentzsch
Keyword(s):  
Decision Making ◽  
Risk Analysis ◽  
Process Model ◽  
Fuzzy Cognitive Maps ◽  
It Management ◽  
Intelligent Decision Making ◽  
It Systems ◽  
Management Processes ◽  
Intelligent Decision ◽  
Complex Relationships

IT management processes have been growing as the development of modern IT systems has grown. These are often complex with multiple interdependencies that can make it very difficult for Chief Information Officers (CIOs) to comprehend and be aware of potential risks. These risks have the potential to translate into decision making inefficiencies for an organization. Risk analysis for decision making in the planning and monitoring of these systems can be a complex and demanding task. Intelligent decision making in IT management processes and systems are a crucial element of an organization’s success and its competitive position in the marketplace. This chapter considers the implementation of Fuzzy Cognitive Maps (FCM) to provide facilities to capture and represent complex relationships in an IT management process model. By using FCMs, CIOs can regularly review and improve their IT management processes and provide greater improvement in development, monitoring and maintenance of those processes. CIOs can perform what-if analysis to better understand vulnerabilities of their designed system.

Intelligent Decision Making and Risk Analysis of B2c E-Commerce Customer Satisfaction

2015 ◽  
Vol 4 (1) ◽  
pp. 60-75 ◽  
Author(s):  
Masoud Mohammadian
Keyword(s):  
Decision Making ◽  
Customer Satisfaction ◽  
Fuzzy Cognitive Maps ◽  
Intelligent Decision Making ◽  
Development Teams ◽  
Intelligent Decision ◽  
Rapid Changes ◽  
Decision Making System ◽  
Complex Relationships ◽  
Constant Improvement

Customer satisfaction and relationship is complex, demanding, and yet crucial to an organization success and its competitive position in the marketplace. Due to rapid changes in emerging technologies there is a need for constant improvement and adjustment of product and services offered using e-commerce systems. Customer satisfaction is dependent on a large number of organizational as well as product and services attributes. These attributes require continuous development, improvement and monitoring. The interdependencies of these attributes make it very difficult for managers and product and services development teams to comprehend and be aware of effect (, Rohm et al 2004, , ) of inefficiencies that may exist in development and offering of their products and services. This paper considers the implementation of an intelligent decision making system using Fuzzy Cognitive Maps (FCMs) to provide facilities to capture and represent complex relationships in a customer satisfaction management and modelling to improve the understanding of managers and product developers about their customers and associated risks related to products and services that are offered online using e-commerce sites. By using FCMs, customer satisfactions can regularly be reviewed and improved. Managers can perform what-if analyses to better understand vulnerabilities and pitfalls in the way their product and services are provided to customers.

Intelligent Decision Making and Risk Analysis of B2c E-Commerce Customer Satisfaction

Fuzzy Systems ◽  
2017 ◽  
pp. 969-986
Author(s):  
Masoud Mohammadian
Keyword(s):  
Decision Making ◽  
Customer Satisfaction ◽  
Fuzzy Cognitive Maps ◽  
Intelligent Decision Making ◽  
Development Teams ◽  
Intelligent Decision ◽  
Rapid Changes ◽  
Decision Making System ◽  
Complex Relationships ◽  
Constant Improvement

Customer satisfaction and relationship is complex, demanding, and yet crucial to an organization success and its competitive position in the marketplace. Due to rapid changes in emerging technologies there is a need for constant improvement and adjustment of product and services offered using e-commerce systems. Customer satisfaction is dependent on a large number of organizational as well as product and services attributes. These attributes require continuous development, improvement and monitoring. The interdependencies of these attributes make it very difficult for managers and product and services development teams to comprehend and be aware of effect (, Rohm et al 2004, , ) of inefficiencies that may exist in development and offering of their products and services. This paper considers the implementation of an intelligent decision making system using Fuzzy Cognitive Maps (FCMs) to provide facilities to capture and represent complex relationships in a customer satisfaction management and modelling to improve the understanding of managers and product developers about their customers and associated risks related to products and services that are offered online using e-commerce sites. By using FCMs, customer satisfactions can regularly be reviewed and improved. Managers can perform what-if analyses to better understand vulnerabilities and pitfalls in the way their product and services are provided to customers.

Application of Fuzzy Cognitive Maps in IT Management and Risk Analysis

2010 ◽  
pp. 90-99
Author(s):  
Masoud Mohammadian
Keyword(s):  
System Development ◽  
Cognitive Maps ◽  
Fuzzy Cognitive Maps ◽  
It Management ◽  
Chief Information Officers ◽  
It Systems ◽  
Rapid Changes ◽  
Complex Relationships ◽  
Development And Management ◽  
Constant Improvement

Development and management of IT systems are complex, demanding, and yet crucial to an organization success and its competitive position in the marketplace. Due to rapid changes in emerging technologies there is a need for constant improvement and adjustment to IT systems. There are a large number of processes involved in IT system development and monitoring. The interdependencies of these processes make it very difficult for Chief Information Officers (CIOs) to comprehend and be aware of effect of inefficiencies that may exist in development of these processes in their organization. This chapter considers the implementation of a Fuzzy Cognitive Maps (FCM) to provide facilities to capture and represent complex relationships in an IT management model and their related processes to improve the understanding of CIOs about the systems and its associated risks. By using FCMs CIOs can regularly review and improve their IT systems and provide greater improvement in development, monitoring and maintenance of IT facilities. CIOs can perform what-if analysis to better understand vulnerabilities of their designed system.

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